Scolaris Content Display Scolaris Content Display

Interventionen zur Erhöhung des Konsums von Obst und Gemüse bei Kindern im Alter von 5 Jahren und jünger

Esta versión no es la más reciente

Contraer todo Desplegar todo

Referencias

Anzman‐Frasca 2012 {published data only}

Anzman‐Frasca S, Savage JS, Marini ME, Fisher JO, Birch LL. Repeated exposure and associative conditioning promote preschool children's liking of vegetables. Appetite 2012;58(2):543‐53. CENTRAL
Savage JS, Paul IM, Marini ME, Birch LL. Pilot intervention promoting responsive feeding, the division of feeding responsibility, and healthy dietary choices during infancy. Appetite 2010;54(3):673. CENTRAL

Barends 2013 {published data only}

Barends C, De Vries J H, Mojet J, De Graaf C. Effects of starting weaning exclusively with vegetables on vegetable intake at the age of 12 and 23 months. Appetite 2014;81:193‐9. CENTRAL
Barends C, De Vries J, Mojet J, De Graaf C. Effects of repeated exposure to either vegetables or fruits on infant's vegetable and fruit acceptance at the beginning of weaning. Food Quality and Preference 2013;29:157‐65. CENTRAL
Barends C, Mojet J, De Vries J, De Graaf K. Effects of repeated exposure to either fruits or vegetables during the first 18 days of weaning on infant's fruit and vegetable acceptance. Appetite 2011;57(2):553. CENTRAL

Baskale 2011 {published data only (unpublished sought but not used)}

Baskale H, Bahar Z. Outcomes of nutrition knowledge and healthy food choices in 5‐ to 6‐year‐old children who received a nutrition intervention based on Piaget's theory. Journal for Specialists in Pediatric Nursing: JSPN 2011;16(4):263‐79. CENTRAL

Black 2011 {published data only}

Black MM, Hurley K, Wang Y, Candelaria M, Latta L, Caulfield L, et al. Toddler obesity prevention study (TOPS) increases toddler health‐promoting behaviors. FASEB Journal 2013;27(1 Suppl):37.4. CENTRAL
Black MM, Hurley KM, Hager ER, Wang Y, Latta LW, Candelaria M, et al. Toddler obesity prevention: effects of parenting and maternal lifestyles interventions. Obesity 2011;19:S109. CENTRAL

Blissett 2016 {published data only}

Blissett J, Bennett C, Fogel A, Harris G, Higgs S. Parental modelling and prompting effects on acceptance of a novel fruit in 2‐4‐year‐old children are dependent on children's food responsiveness. British Journal of Nutrition 2016;115(3):554‐64. CENTRAL

Campbell 2013 {published data only}

Cameron AJ, Ball K, Hesketh KD, McNaughton SA, Salmon J, Crawford DA, et al. Variation in outcomes of the Melbourne Infant, Feeding, Activity and Nutrition Trial (InFANT) Program according to maternal education and age. Preventive Medicine 2014;58:58‐63. CENTRAL
Campbell K, Hesketh K, Crawford D, Salmon J, Ball K, McCallum Z. The Infant Feeding Activity and Nutrition Trial (INFANT) an early intervention to prevent childhood obesity: cluster‐randomised controlled trial. BMC Public Health 2008;8:103. CENTRAL
Campbell KJ, Lioret S, McNaughton SA, Crawford DA, Salmon J, Ball K, et al. A parent‐focused intervention to reduce infant obesity risk behaviors: a randomized trial. Pediatrics 2013;131(4):652‐60. CENTRAL
Hesketh KD, Campbell K, Salmon J, McNaughton SA, McCallum Z, Cameron A, et al. The Melbourne Infant Feeding, Activity and Nutrition Trial (InFANT) Program follow‐up. Contemporary Clinical Trials 2013;34(1):145‐51. CENTRAL
Lioret S, Campbell K, McNaughton S, Crawford D, Salmon J, Ball K, et al. Parent focused intervention impacts obesity risk behaviours in infants: results of the Melbourne infant program cluster‐randomised controlled trial. Obesity Facts 2012;5:33. CENTRAL
Spence AC, Campbell KJ, Crawford DA, McNaughton SA, Hesketh KD. Mediators of improved child diet quality following a health promotion intervention: The Melbourne inFANT Program. International Journal of Behavioral Nutrition and Physical Activity 2014;11:137. CENTRAL
Spence AC, McNaughton SA, Lioret S, Hesketh KD, Crawford DA, Campbell KJ, et al. A health promotion intervention can affect diet quality in early childhood. Journal of Nutrition 2013;143(10):1672‐8. CENTRAL
Walsh AD, Lioret S, Cameron AJ, Hesketh KD, McNaughton SA, Crawford D, et al. The effect of an early childhood obesity intervention on father's obesity risk behaviors: the Melbourne InFANT Program. International Journal of Behavioral Nutrition & Physical Activity 2014;11:18. CENTRAL

Caton 2013 {published data only}

Caton SJ, Ahern SM, Remy E, Nicklaus S, Blundell P, Hetherington MM. Repetition counts: repeated exposure increases intake of a novel vegetable in UK pre‐school children compared to flavour‐flavour and flavour‐nutrient learning. British Journal of Nutrition 2013;109(11):2089‐97. CENTRAL

Cohen 1995 {published data only}

Cohen RJ, Rivera LL, Canahuati J, Brown KH, Dewey KG. Delaying the introduction of complementary food until 6 months does not affect appetite or mother's report of food acceptance of breast‐fed infants from 6 to 12 months in a low income, Honduran population. Journal of Nutrition 1995;125(11):2787‐92. CENTRAL

Cooke 2011 {published data only}

Cooke LJ, Chambers LC, Anez EV, Croker HA, Boniface D, Yeomans MR, et al. Eating for pleasure or profit: the effect of incentives on children's enjoyment of vegetables. Psychological Science 2011;22(2):190‐6. CENTRAL

Correia 2014 {published data only}

Correia DC, O'Connell M, Irwin ML, Henderson KE. Pairing vegetables with a liked food and visually appealing presentation: promising strategies for increasing vegetable consumption among preschoolers. Childhood Obesity 2014;10(1):72‐6. CENTRAL

Cravener 2015 {published data only}

Cravener TL, Schlechter H, Loeb KL, Radnitz c, Schwartz M, Zucker N, et al. Feeding strategies derived from behavioral economics and psychology can increase vegetable intake in children as part of a home‐based intervention: results of a pilot study. Journal of the Academy of Nutrition and Dietetics2015; Vol. 115, issue 11:1798‐807. CENTRAL

Daniels 2014 {published data only}

Daniels L, Mallan K, Nicholson J, Meedeniya J, Magarey A. Child behaviour and weight outcomes of NOURISH RCT. Obesity Facts 2013;6:16. CENTRAL
Daniels L, Mallan K, Nicholson J, Thorpe K, Magarey A. Longer term child growth and maternal feeding practices outcomes of the NOURISH obesity prevention trial. Obesity Facts 2014;7:39. CENTRAL
Daniels LA, Magarey A, Battistutta D, Nicholson JM, Farrell A, Davidson G, et al. The NOURISH randomised control trial: positive feeding practices and food preferences in early childhood ‐ a primary prevention program for childhood obesity. BMC Public Health 2009;9:387. CENTRAL
Daniels LA, Magarey AM, Nicholson JM. The NOURISH early feeding trial: an innovative approach to child obesity prevention. Obesity Research and Clinical Practice 2011;5:S5. CENTRAL
Daniels LA, Mallan KM, Battistutta D, Nicholson JM, Meedeniya JE, Bayer JK, et al. Child eating behavior outcomes of an early feeding intervention to reduce risk indicators for child obesity: the NOURISH RCT. Obesity (Silver Spring, Md.) 2014;22(5):E104‐11. CENTRAL
Daniels LA, Mallan KM, Nicholson JM, Battistutta D, Magarey A. Outcomes of an early feeding practices intervention to prevent childhood obesity. Pediatrics 2013;132(1):e109‐18. CENTRAL
Magarey A, Mauch C, Mallan K, Perry R, Elovaris R, Meedeniya J, et al. Child dietary and eating behavior outcomes up to 3.5 years after an early feeding intervention: the NOURISH RCT. Obesity 2016;24(7):1537‐45. CENTRAL

De Bock 2012 {published data only}

De Bock F, Breitenstein L, Fischer JE. Positive impact of a pre‐school‐based nutritional intervention on children's fruit and vegetable intake: results of a cluster‐randomized trial. Public Health Nutrition 2012;15(3):466‐75. CENTRAL
De Bock F, Fischer JE, Hoffmann K, Renz‐Polster H. A participatory parent‐focused intervention promoting physical activity in preschools: design of a cluster‐randomized trial. BMC Public Health 2010;10:49. CENTRAL

De Coen 2012 {published data only}

De Coen V, De Bourdeaudhuij I, Vereecken C, Verbestel V, Haerens L, Huybrechts I, et al. Effects of a 2‐year healthy eating and physical activity intervention for 3‐6‐year‐olds in communities of high and low socio‐economic status: the POP (Prevention of Overweight among Pre‐school and school children) project. Public Health and Nutrition 2012;15(9):1737‐45. CENTRAL

de Droog 2014 {published data only}

De Droog SM. Using picture books to stimulate the appeal of healthy food products among pre‐schoolers. Appetite 2012;59(2):624. CENTRAL
De Droog SM, Buijzen M, Valkenburg PM. Enhancing children's vegetable consumption using vegetable‐promoting picture books. The impact of interactive shared reading and character‐product congruence. Appetite 2014;73:73‐80. CENTRAL

de Droog 2017 {published data only}

De Droog SM, Van Nee R, Govers M, Buijzen M. Promoting toddlers' vegetable consumption through interactive reading and puppetry. Appetite 2017;116:75‐81. CENTRAL

de Wild 2013 {published data only}

De Wild VW, De Graaf C, Jager G. Effectiveness of flavour nutrient learning and mere exposure as mechanisms to increase toddler’s intake and preference for green vegetables. Appetite 2013;64:89‐96. CENTRAL

de Wild 2015a {published data only}

De Wild VW, De Graaf C, Boshuizen HC, Jager G. Influence of choice on vegetable intake in children: an in‐home study. Appetite 2015;91:1‐6. CENTRAL

de Wild 2015b {published data only}

De Wild V, De Graaf C, Jager G. Efficacy of repeated exposure and flavour–flavour learning as mechanisms to increase preschooler's vegetable intake and acceptance. Pediatric Obesity 2015;10(3):205‐12. CENTRAL

de Wild 2017 {published data only}

De Wild VWT, De Graaf C, Jager G. Use of different vegetable products to increase preschool‐aged children's preference for and intake of a target vegetable: a randomized controlled trial. Journal of the Academy of Nutrition and Dietetics 2017;117(6):859‐66. CENTRAL

Duncanson 2013 {published and unpublished data}

Duncanson K, Burrows T, Collins C. Effect of a low‐intensity parent‐focused nutrition intervention on dietary intake of 2‐ to 5‐year olds. Journal of Pediatric Gastroenterology and Nutrition 2013;57(6):728‐34. CENTRAL
Duncanson K, Burrows T, Collins C. Study protocol of a parent‐focused child feeding and dietary intake intervention: the feeding healthy food to kids randomised controlled trial. BMC Public Health 2012;12:564. CENTRAL
Duncanson K, Burrows T, Collins C. Twelve month outcomes of the Feeding Healthy Food to Kids Randomised Controlled Trial. Journal of the American Dietetic Association 2011;111(9 Supplement):A105. CENTRAL
Duncanson K, Burrows T, Holman B, Collins C. Parents' perceptions of child feeding: a qualitative study based on the theory of planned behavior. Journal of Developmental and Behavioral Pediatrics 2013;34(4):227‐36. CENTRAL

Fildes 2014 {published data only}

Fildes A, Van Jaarsveld CH, Wardle J, Cooke L. Parent‐administered exposure to increase children's vegetable acceptance: a randomized controlled trial. Journal of the Academy of Nutrition & Dietetics 2014;114:881‐8. CENTRAL

Fildes 2015 {published data only}

Fildes A, Lopes C, Moreira P, Moschonis G, Oliveira A, Mavrogianniet C, et al. An exploratory trial of parental advice for increasing vegetable acceptance in infancy. British Journal of Nutrition 2015;114(2):328‐36. CENTRAL

Fisher 2012 {published data only}

Fisher JO, Mennella JA, Hughes SO, Liu Y, Mendoza PM, Patrick H. Offering "dip" promotes intake of a moderately‐liked raw vegetable among preschoolers with genetic sensitivity to bitterness. Journal of the Academy of Nutrition & Dietetics 2012;112(2):235‐45. CENTRAL

Forestell 2007 {published data only}

Forestell CA, Mennella JA. Early determinants of fruit and vegetable acceptance. Pediatrics 2007;120(6):1247‐54. CENTRAL

Gerrish 2001 {published data only}

Gerrish CJ, Mennella JA. Flavor variety enhances food acceptance in formula‐fed infants. American Journal of Clinical Nutrition 2001;73(6):1080‐5. CENTRAL

Haire‐Joshu 2008 {published data only}

Haire‐Joshu D, Elliott MB, Caito NM, Hessler K, Nanney MS, Hale N, et al. High 5 for Kids: the impact of a home visiting program on fruit and vegetable intake of parents and their preschool children. Preventive Medicine 2008;47(1):77‐82. CENTRAL

Harnack 2012 {published data only}

Harnack LJ, Oakes JM, French SA, Rydell SA, Farah FM, Taylor GL. Results from an experimental trial at a Head Start center to evaluate two meal service approaches to increase fruit and vegetable intake of preschool aged children. International Journal of Behavioural Nutrition and Physical Activity2012; Vol. 9:51. CENTRAL

Hausner 2012 {published data only}

Hausner H, Olsen A, Moller P. Mere exposure and flavour‐flavour learning increase 2‐3 year‐old children's acceptance of a novel vegetable. Appetite 2012;58(3):1152‐9. CENTRAL

Heath 2014 {published data only}

Heath P, Houston‐Price C, Kennedy OB. Let's look at leeks! Picture books increase toddlers' willingness to look at, taste and consume unfamiliar vegetables. Frontiers in Psychology 2014;5:191. CENTRAL

Hetherington 2015 {published data only}

Hetherington MM, Schwartz C, Madrelle J, Croden F, Nekitsing C, Vereijken CM, et al. A step‐by‐step introduction to vegetables at the beginning of complementary feeding. The effects of early and repeated exposure. Appetite 2015;84:280‐90. CENTRAL

Hunsaker 2017 {published data only}

Hunsaker SL, Jensen CD. Effectiveness of a parent health report in increasing fruit and vegetable consumption among preschoolers and kindergarteners. Journal of Nutrition Education and Behavior 2017;49(5):380‐6. CENTRAL

Keller 2012 {published and unpublished data}

Keller K, Forman J, Lee NM, Kuilema LG, Haldford JC. Use of license spokes‐characters to increase intake of fruits and vegetables as part of a childhood obesity prevention program: pilot study results. Obesity 2011;19:S109. CENTRAL
Keller KL, Kuilema LG, Lee N, Yoon J, Mascaro B, Combes AL, et al. The impact of food branding on children's eating behavior and obesity. Physiology and Behavior 2012;106(3):379‐86. CENTRAL

Kling 2016 {published data only}

Kling SM, Roe LS, Keller KL, Rolls BJ. Double trouble: portion size and energy density combine to increase preschool children's lunch intake. Physiology & Behavior 2016;162:18‐26. CENTRAL

Martinez‐Andrade 2014 {published data only}

Martinez‐Andrade GO, Cespedes EM, Rifas‐Shiman SL, Romero‐Quechol G, Gonzalez‐Unzaga MA, Benitez‐Trejo MA, et al. Feasibility and impact of Creciendo Sanos, a clinic‐based pilot intervention to prevent obesity among preschool children in Mexico City. BMC Pediatrics 2014;14:77. CENTRAL

Mennella 2008 {published data only}

Mennella JA, Nicklaus S, Jagolino AL, Yourshaw LM. Variety is the spice of life: strategies for promoting fruit and vegetable acceptance during infancy. Physiology & Behavior 2008;94(1):29‐38. CENTRAL

Namenek Brouwer 2013 {published data only}

Namenek Brouwer RJ, Benjamin Neelon SE. Watch me grow: a garden‐based pilot intervention to increase vegetable and fruit intake in preschoolers. BMC Public Health 2013;13:363. CENTRAL

Natale 2014a {published data only}

Natale RA, Lopez‐Mitnik G, Uhlhorn SB, Asfour L, Messiah SE. Effect of a child care center‐based obesity prevention program on body mass index and nutrition practices among preschool‐aged children. Health Promotion Practice 2014;15(5):695‐705. CENTRAL

Nicklas 2017 {published data only}

Nicklas T, Lopez S, Liu Y, Reiher R. Using motivational theatre to increase vegetable consumption by preschool children. Journal of the Academy of Nutrition and Dietetics 2016;116(9):A35. CENTRAL
Nicklas T, Lopez S, Liu Y, Saab R, Reiher R. Motivational theater to increase consumption of vegetable dishes by preschool children. International Journal of Behavioral Nutrition and Physical Activity 2017;14(1):16. CENTRAL

O'Connell 2012 {published data only}

O'Connell ML, Henderson KE, Luedicke J, Schwartz MB. Repeated exposure in a natural setting: a preschool intervention to increase vegetable consumption. Journal of the Academy of Nutrition & Dietetics 2012;112(2):230‐4. CENTRAL

Remington 2012 {published data only}

Remington A, Añez E, Croker H, Wardle J, Cooke L. Increasing food acceptance in the home setting: a randomized controlled trial of parent‐administered taste exposure with incentives. American Journal of Clinical Nutrition 2012;95(1):72‐7. CENTRAL
Remington AM, Anez EV, Cooke LJ, Wardle J. Tiny tastes. A home based intervention promoting acceptance of disliked vegetables. Appetite 2011;57:S35‐6. CENTRAL

Remy 2013 {published data only}

Remy E, Issanchou S, Chabanet C, Nicklaus S. Repeated exposure of infants at complementary feeding to a vegetable puree increases acceptance as effectively as flavor‐flavor learning and more effectively than flavor‐nutrient learning. Journal of Nutrition 2013;143(7):1194‐200. CENTRAL

Roe 2013 {published data only}

Roe LS, Meengs JS, Birch LL, Rolls BJ. Serving a variety of vegetables and fruit as a snack increased intake in preschool children. American Journal of Clinical Nutrition 2013;98(3):693‐9. CENTRAL

Roset‐Salla 2016 {published data only}

Roset‐Salla M, Ramon‐Cabot J, Salabarnada‐Torras J, Pera Guillem Dalmau A. Educational intervention to improve adherence to the Mediterranean diet among parents and their children aged 1–2 years. EniM clinical trial. Public Health Nutrition 2016;19(06):1131‐44. CENTRAL

Savage 2012 {published data only}

Savage JS, Fisher JO, Marini M, Birch LL. Serving smaller age‐appropriate entree portions to children aged 3‐5 y increases fruit and vegetable intake and reduces energy density and energy intake at lunch. American Journal of Clinical Nutrition 2012;95:335‐41. CENTRAL

Sherwood 2015 {published data only}

Sherwood NE, JaKa MM, Crain AL, Martinson BC, Hayes MG, Anderson JD. Pediatric primary care‐based obesity prevention for parents of preschool children: a pilot study. Childhood Obesity (Print) 2015;11(6):674‐82. CENTRAL

Skouteris 2015 {published data only}

Skouteris H, Hill B, McCabe M, Swinburn B, Busija L. A parent‐based intervention to promote healthy eating and active behaviours in pre‐school children: evaluation of the MEND 2‐4 randomized controlled trial. Pediatric Obesity 2015;11(1):4‐10. CENTRAL
Skouteris H, McCabe M, Swinburn B, Hill B. Healthy eating and obesity prevention for preschoolers: a randomised controlled trial. BMC Public Health 2010;10:220. CENTRAL

Smith 2017 {published data only}

Smith E. The Effects of Access and Education on Preschool Children's Fruit and Vegetable Intake [Dissertation]. Vol. 10626889, Ann Arbor: The Ohio State University, 2017. CENTRAL

Spill 2010 {published and unpublished data}

Spill MK, Birch LL, Roe LS, Rolls BJ. Eating vegetables first: the use of portion size to increase vegetable intake in preschool children. American Journal of Clinical Nutrition 2010;91(5):1237‐43. CENTRAL

Spill 2011a {published and unpublished data}

Spill MK, Birch LL, Roe LS, Rolls BJ. Hiding vegetables to reduce energy density: an effective strategy to increase children's vegetable intake and reduce energy intake. American Journal of Clinical Nutrition 2011;94(3):735‐41. CENTRAL

Spill 2011b {published and unpublished data}

Spill MK, Birch LL, Roe LS, Rolls BJ. Serving large portions of vegetable soup at the start of a meal affected children's energy and vegetable intake. Appetite 2011;57(1):213‐9. CENTRAL

Staiano 2016 {published data only}

Staiano AE, Marker AM, Frelier JM, Hsia DS, Martin CK. Influence of screen‐based peer modeling on preschool children's vegetable consumption and preferences. Journal of Nutrition Education and Behavior 2016;48(5):331‐5.e1. CENTRAL

Sullivan 1994 {published data only}

Sullivan SA, Birch LL. Infant dietary experience and acceptance of solid foods. Pediatrics 1994;93(2):271‐7. CENTRAL

Tabak 2012 {published data only}

Anonymous. Erratum... Tabak et al. Family ties to health program: a randomized intervention to improve vegetable intake in children. Journal of Nutrition Education & Behaviour, 2012 Mar/Apr 44(2):166‐71. Journal of Nutrition Education & Behavior 2014;46:202. CENTRAL
Tabak RG, Tate DF, Stevens J, Siega‐Riz AM, Ward DS. Family ties to health program: a randomized intervention to improve vegetable intake in children. Journal of Nutrition Education & Behavior 2012;44(2):166‐71. CENTRAL
Tabak RG, Tate DF, Stevens J, Siega‐Riz AM, Ward DS. Family ties to health study: a randomized intervention to improve vegetable intake in children. Obesity 2011;19:S109. CENTRAL

Vazir 2013 {published data only}

Vazir S, Engle P, Balakrishna N, Griffiths PL, Johnson SL, Creed‐Kanashiro H, et al. Cluster‐randomized trial on complementary and responsive feeding education to caregivers found improved dietary intake, growth and development among rural Indian toddlers. Maternal & Child Nutrition 2013;9(1):99‐117. CENTRAL

Verbestel 2014 {published data only}

Verbestel V, De Coen V, Van Winckel M, Huybrechts I, Maes L, De Bourdeaudhuij I. Prevention of overweight in children younger than 2 years old: a pilot cluster‐randomized controlled trial. Public Health Nutrition 2014;17(6):1384‐92. CENTRAL

Vereecken 2009 {published data only}

Vereecken C, Huybrechts I, Van Houte H, Martens V, Wittebroodt I, Maes L. Results from a dietary intervention study in preschools "Beastly Healthy at School". International Journal of Public Health 2009;54(3):142‐9. CENTRAL

Wardle 2003a {published data only}

Wardle J, Cooke LJ, Gibson EL, Sapochnik M, Sheiman A, Lawson M. Increasing children's acceptance of vegetables; a randomized trial of parent‐led exposure. Appetite 2003;40(2):155‐62. CENTRAL

Watt 2009 {published data only}

Scheiwe A, Hardy R, Watt RG. Four‐year follow‐up of a randomized controlled trial of a social support intervention on infant feeding practices. Maternal & Child Nutrition 2010;6(4):328‐37. CENTRAL
Watt RG, Tull KI, Wiggins M, Kelly Y, Molloy B, Dowler E, et al. Effectiveness of a social support intervention of infant feeding practices: randomised controlled trial. Journal of Epidemiology & Community Health 2009;63(2):156‐62. CENTRAL

Williams 2014 {published data only}

Williams PA, Cates SC, Blitstein JL, Hersey J, Gabor V, Ball M, et al. Nutrition‐education program improves preschoolers' at‐home diet: a group randomized trial. Journal of the Academy of Nutrition & Dietetics 2014;114(7):1001‐8. CENTRAL

Witt 2012 {published data only}

Witt KE, Dunn C. Increasing fruit and vegetable consumption among preschoolers: evaluation of color me healthy. Journal of Nutrition Education & Behavior 2012;44(2):107‐13. CENTRAL

Wyse 2012 {published data only}

Wolfenden L, Wyse R, Campbell E, Brennan L, Campbell KJ, Fletcher A, et al. Randomized controlled trial of a telephone‐based intervention for child fruit and vegetable intake: long‐term follow‐up. American Journal of Clinical Nutrition 2014;99(3):543‐50. CENTRAL
Wyse R, Wolfenden L, Bisquera A. Characteristics of the home food environment that mediate immediate and sustained increases in child fruit and vegetable consumption: mediation analysis from the Healthy Habits cluster randomised controlled trial. International Journal of Behavioral Nutrition & Physical Activity 2015;12:118. CENTRAL
Wyse R, Wolfenden L, Campbell E, Campbell K, Brennan L, Fletcher A, et al. Increasing fruit and vegetable consumption in 3‐ 5 year old children: results from a cluster randomised controlled trial of a telephone‐based parent intervention, Hunter region, NSW, Australia. Obesity Reviews 2011;12:68. CENTRAL
Wyse R, Wolfenden L, Campbell E, Campbell KJ, Wiggers J, Brennan L, et al. A cluster randomized controlled trial of a telephone‐based parent intervention to increase preschoolers' fruit and vegetable consumption. American Journal of Clinical Nutrition 2012;96(1):102‐10. CENTRAL
Wyse RJ, Wolfenden L, Campbell E, Brennan L, Campbell KJ, Fletcher A, et al. A cluster randomised trial of a telephone‐based intervention for parents to increase fruit and vegetable consumption in their 3‐ to 5‐year‐old children: study protocol. BMC Public Health 2010;10:216. CENTRAL

Zeinstra 2018 {published data only}

Zeinstra GG, Vrijhof M, Kremer S. Is repeated exposure the holy grail for increasing children's vegetable intake? Lessons learned from a Dutch childcare intervention using various vegetable preparations. Appetite 2018;121:316‐25. CENTRAL

Aboud 2008 {published data only}

Aboud FE, Moore AC, Akhter S. Effectiveness of a community‐based responsive feeding programme in rural Bangladesh: a cluster randomized field trial. Maternal and Child Nutrition 2008;4(4):275‐86. CENTRAL

Adams 2011 {published data only}

Adams A, LaRowe T, Cronin KA, Prince RJ, Jobe JB. Healthy children, strong families: results of a randomized trial of obesity prevention for preschool American Indian children and their families. Obesity 2011;19:S110. CENTRAL
Adams AK, LaRowe TL, Cronin KA, Prince RJ, Wubben DP, Parker T, et al. The healthy children, strong families intervention: design and community participation. Journal of Primary Prevention 2012;33(4):175‐85. CENTRAL

Adams 2015 {published data only}

Adams MA, Bruening M, Ohri‐Vachaspati P. Use of salad bars in schools to increase fruit and vegetable consumption: where's the evidence?. Journal of the Academy of Nutrition and Dietetics 2015;115(8):1233‐6. CENTRAL

Agrawal 2012 {published data only}

Agrawal T, Hoffman JA, Ahl M, Bhaumik U, Healey C, Carter S, et al. Collaborating for impact: a multilevel early childhood obesity prevention initiative. Family & Community Health 2012;35:192‐202. CENTRAL

Ahearn 2001 {published data only}

Ahearn WH, Kerwin ME, Eicher PS, Lukens CT. An ABAC comparison of two intensive interventions for food refusal. Behavior Modification 2001;25(3):385‐405. CENTRAL

Ahern 2014 {published data only}

Ahern SM, Caton SJ, Blundell P, Hetherington MM. The root of the problem: increasing root vegetable intake in preschool children by repeated exposure and flavour flavour learning. Appetite 2014;80:154‐60. CENTRAL

Ajie 2016 {published data only}

Ajie W. Totally veggies. Journal of Nutrition, Education and Behavior2016; Vol. 48, issue 10:753. CENTRAL

Al Bashabsheh 2016 {published data only}

Al Bashabsheh Z, Al Bashabsheh Z, Kidd T. Evaluating the effectiveness of nutrition education for WIC service clients in Manhattan, Kansas. Journal of Nutrition Education and Behavior 2016;48(7):S18. CENTRAL

Alford 1971 {published data only}

Alford BB, Tibbets MH. Education increases consumption of vegetables by children. Journal of Nutrition Education 1971;3(7):12‐4. CENTRAL

Amin 2016 {published data only}

Amin S, Stickle T, Eriksen H, Johnson RK. Nudging pre‐school children's fruit and vegetable consumption during afternoon snack time using older child mentors from the Live Y'ers Afterschool Program. Journal of the Academy of Nutrition and Dietetics 2016;116(9):A25. CENTRAL

Anderson 2014 {published data only}

Anderson LM, Symoniak ED, Epstein LH. A randomized pilot trial of an integrated school‐worksite weight control program. Health Psychology 2014;33(11):1421‐5. CENTRAL

Anez 2013 {published data only}

Anez E, Remington A, Wardle J, Cooke L. The impact of instrumental feeding on children's responses to taste exposure. Journal of Human Nutrition and Dietetics 2013;26(5):415‐20. CENTRAL

Ang 2016 {published data only}

Ang I, Trent R, Gray HL, Wolf R, Koch P, Contento I. Comparison of school lunch cut fruit and whole fruit consumption in a naturalistic elementary school cafeteria setting. Journal of Nutrition Education and Behavior 2016;48(7):S14. CENTRAL

Anliker 1993 {published data only}

Anliker JA, Drake LT, Pacholski J, Little W. Impacts of a multi‐layered nutrition education program: teenagers teaching children. Journal of Nutrition Education 1993;25(3):140‐3. CENTRAL

Anonymous 2001 {published data only}

Anonymous. Some children baffled by satsumas. Nursing Times 2001;97:5‐5. CENTRAL

Anonymous 2002 {published data only}

Anonymous. Welfare food scheme to be extended. RCM Midwives2002; Vol. 5:404. CENTRAL

Anonymous 2009 {published data only}

Anonymous. Web campaign invites children to get involved with healthy eating. Paediatric Nursing 2009;21:5‐5. CENTRAL

Anonymous 2011a {published data only}

Anonymous. Postscripts. Nutrition Health Review: The Consumer's Medical Journal2011:20. CENTRAL

Anonymous 2011b {published data only}

Anonymous. Target parents to prevent obesity. Australian Nursing Journal 2011;18:35. CENTRAL

Anonymous 2012 {published data only}

Anonymous. European Congress on Obesity, ECO2012. Obesity Facts2012; Vol. 5. CENTRAL

Apatu 2016 {published data only}

Apatu E, Sealey‐Potts C, Diersing J. Cooking classes: are they effective nutrition interventions in low‐income settings?. Journal of Nutrition Education and Behavior 2016;48(7):S9. CENTRAL

Aranceta‐Bartrina 2016 {published data only}

Aranceta‐Bartrina J, Perez‐Rodrigo C. Determinants of childhood obesity: ANIBES study. Nutricion Hospitalaria 2016;33(Suppl 4):339. CENTRAL

Arrow 2013 {published data only}

Arrow P, Raheb J, Miller M. Brief oral health promotion intervention among parents of young children to reduce early childhood dental decay. BMC Public Health 2013;13:245. CENTRAL

Au 2015a {published data only}

Au LE, Rosen NJ, Ritchie LD. Does eating school meals make a difference in overall diet quality? a comparison study of elementary school students. Journal of the Academy of Nutrition and Dietetics 2015;115(9):A16. CENTRAL

Au 2015b {published data only}

Au L, Whaley S, Rosen N, Meza M, Ritchie L. A randomized controlled trial evaluating online to in person education to improve breakfast behaviors, beliefs and knowledge in WIC participants. FASEB Journal. Conference: Experimental Biology Meeting Abstracts 2015;29(1):264.3. CENTRAL
Au LE, Whaley S, Rosen NJ, Meza M, Ritchie LD. Online and in‐person nutrition education improves breakfast knowledge, attitudes, and behaviors: a randomized trial of participants in the special supplemental nutrition program for women, infants, and children. Journal of the Academy of Nutrition and Dietetics 2016;116(3):490‐500. CENTRAL

Au 2016 {published data only}

Au LE, Rosen NJ, Fenton K, et al. Eating school lunch Is associated with higher diet quality among elementary school students. Journal of the Academy of Nutrition and Dietetics 2016;116(11):1817‐24. CENTRAL

Bai 2012 {published data only}

Bai Y, Suriano L, Wunderlich S. Veggiecation for the love of vegetables. Journal of Nutrition Education and Behavior 2012;44(4 Supplement):S23‐4. CENTRAL

Bannon 2006 {published data only}

Bannon K, Schwartz MB. Impact of nutrition messages on children's food choice: pilot study. Appetite 2006;46:124‐9. CENTRAL

Bante 2008 {published data only}

Bante H, Elliott M, Harrod A, Haire‐Joshu D. The use of inappropriate feeding practices by rural parents and their effect on preschoolers' fruit and vegetable preferences and intake. Journal of Nutrition Education and Behavior 2008;40(1):28‐33. CENTRAL

Baranowski 2002 {published data only}

Baranowski T, Baranowski J, Cullen KW, DeMoor C, Rittenberry L, Hebert D, et al. 5 a day achievement badge for African‐American boy scouts: pilot outcome results. Preventive Medicine 2002;34(3):353‐63. CENTRAL

Barkin 2012 {published data only}

Barkin SL, Gesell SB, Po'e EK, Escarfuller J, Tempesti T. Culturally tailored, family‐centered, behavioral obesity intervention for Latino‐American preschool‐aged children. Pediatrics 2012;130(3):445‐56. CENTRAL

Baxter 1998 {published data only}

Baxter SD. Are elementary schools teaching children to prefer candy but not vegetables?. Journal of School Health 1998;68(3):111‐3. CENTRAL

Bayer 2009 {published data only}

Bayer O, Van Kries R, Strauss A, Mitschek C, Toschke AM, Hose A, et al. Short‐ and mid‐term effects of a setting based prevention program to reduce obesity risk factors in children: a cluster‐randomized trial. Clinical Nutrition 2009;28:122‐8. CENTRAL
Strauss A, Herbert B, Mitschek C, Duvinage K, Koletzko B. TigerKids. Successful health promotion in preschool settings. Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz 2011;54(3):322‐9. CENTRAL

Beasley 2012 {published data only}

Beasley N, Sharma S, Shegog R, Huber R, Abernathy P, Smith C, et al. The Quest to Lava Mountain: using video games for dietary change in children. Journal of the Academy of Nutrition and Dietetics 2012;112(9):1334‐6. CENTRAL

Beets 2016 {published data only}

Beets MW, Brazendale K, Weaver RG, Turner‐McGrievy GM, Huberty J, Moore JB, et al. Economic evaluation of a group randomized controlled trial on healthy eating and physical activity in afterschool programs. Preventive Medicine 2017;106:60‐5. CENTRAL
Beets MW, Turner‐McGrievy B, Weaver RG, Huberty J, Moore JB, Ward DS, et al. Intervention leads to improvements in the nutrient profile of snacks served in afterschool programs: a group randomized controlled trial. Translational Behavioral Medicine 2016;6(3):329‐38. CENTRAL
Beets MW, Weaver RG, Turner‐McGrievy G, Huberty J, Ward DS, Freedman D, et al. Making healthy eating policy practice: a group randomized controlled trial on changes in snack quality, costs, and consumption in after‐school programs. American Journal of Health Promotion 2016;30(7):521‐31. CENTRAL

Bellows 2013 {published data only}

Bellows L, Johnson SL, Davies PL, Anderson J, Gavin W, Boles RE. The Colorado LEAP Study: a longitudinal study for obesity prevention in early childhood. Journal of Nutrition Education and Behavior 2013;45(4 Supplement):S78. CENTRAL
Bellows L, Johnson SL, Davies PL, Gavin W, Boles RE. Findings from the Colorado LEAP Study: a longitudinal study for obesity prevention in early childhood. Journal of Nutrition Education and Behavior 2014;46(4 Supplement):S189. CENTRAL

Benjamin 2008 {published data only}

Benjamin SE, Haines J, Ball SC, Ward DS. Improving nutrition and physical activity in child care: what parents recommend. Journal of the American Dietetic Association 2008;108(11):1907‐11. CENTRAL

Benjamin Neelon 2016 {published data only}

Benjamin Neelon SE, Mayhew M, O’Neill JR, Neelon B, Li F, Pate RR. Comparative evaluation of a South Carolina policy to improve nutrition in child care. Journal of the Academy of Nutrition and Dietetics 2016;116(6):949‐56. CENTRAL

Bensley 2011 {published data only}

Bensley RJ, Anderson JV, Brusk JJ, Mercer N, Rivas J. Impact of internet vs traditional special supplemental nutrition program for women, infants, and children nutrition education on fruit and vegetable intake. Journal of the American Dietetic Association 2011;111(5):749‐55. CENTRAL

Bere 2015 {published data only}

Bere E, Te Velde SJ, Smastuen MC, Twisk J, Klepp KI. One year of free school fruit in Norway‐‐7 years of follow‐up. International Journal of Behavioral Nutrition & Physical Activity 2015;12:139. CENTRAL

Berg 2016 {published data only}

Berg L. Raising a healthy, happy eater. Journal of Nutrition Education and Behavior 2016;48(5):356. CENTRAL

Bergman 2016 {published data only}

Bergman D, Barry C. This is way better than cheetos; changing children's eating behavior through garden and kitchen‐based nutrition education. Journal of Nutrition Education and Behavior 2016;48(7):S9‐S10. CENTRAL

Berhe 1997 {published data only}

Berhe G. Tulimbe Nutrition Project: a community‐based dietary intervention to combat micronutrient malnutrition in rural southern Malawi. SCN news 1997;Dec(15):25‐6. CENTRAL

Berry 2013 {published data only}

Berry DC, Neal M, Hall EG, Schwartz TA, Verbiest S, Bonuck K, et al. Rationale, design, and methodology for the optimizing outcomes in women with gestational diabetes mellitus and their infants study. BMC Pregnancy and Childbirth 2013;13:No pagination. CENTRAL

Bessems 2012 {published data only}

Bessems KM, Assema P, Martens MK, Paulussen TG, Raaijmakers LG, De Rooij M, et al. Healthier food choices as a result of the revised healthy diet programme Krachtvoer for students of prevocational schools. International Journal of Behavioral Nutrition and Physical Activity2012; Vol. 9:60. CENTRAL

Best 2016 {published data only}

Best JR, Goldschmidt AB, Mockus‐Valenzuela DS, Stein RI, Epstein LH, Wilfley DE. Shared weight and dietary changes in parent‐child dyads following family‐based obesity treatment. Health Psychology 2016;35(1):92‐5. CENTRAL

Bibiloni 2017 {published data only}

Bibiloni MDM, Fernandez‐Blanco J, Pujol‐Plana N, Martin‐Galindo N, Fernandez‐Vallejo MM, Roca‐Domingo M, et al. Improving diet quality in children through a new nutritional education programme: INFADIMED. Gaceta Sanitaria2017; Vol. 11:11. CENTRAL

Birch 1980 {published data only}

Birch LL. Effects of peer models' food choices and eating behaviors on preschoolers' food preferences. Child Development1980; Vol. 51, issue 2:489‐96. CENTRAL

Birch 1982 {published data only}

Birch LL, Marlin DW. I don't like it; never tried it: effects of exposure on two‐year‐old children's food preferences. Appetite1982; Vol. 3:353‐60. CENTRAL

Birch 1998 {published data only}

Birch LL. Development of food acceptance patterns in the first years of life. Proceedings of the Nutrition Society1998; Vol. 57, issue 4:617‐24. CENTRAL

Black 2013 {published data only}

Black AP, Vally H, Morris P, Daniel M, Esterman A, Karschimkus CS, et al. Nutritional impacts of a fruit and vegetable subsidy programme for disadvantaged Australian Aboriginal children. British Journal of Nutrition 2013;110(12):2309‐17. CENTRAL

Blissett 2012 {published data only}

Blissett J, Bennett C, Donohoe J, Rogers S, Higgs S. Predicting successful introduction of novel fruit to preschool children. Journal of the Academy of Nutrition and Dietetics 2012;112(12):1959‐67. CENTRAL

Blom‐Hoffman 2008 {published data only}

Blom‐Hoffman J, Wilcox KR, Dunn L, Leff SS, Power TJ. Family involvement in school‐based health promotion: bringing nutrition information home. School Psychology Review 2008;37(4):567‐77. CENTRAL

Boaz 1998 {published data only}

Boaz A, Ziebland S, Wyke S, Walker J. A 'five‐a‐day' fruit and vegetable pack for primary school children. Part II: controlled evaluation in two Scottish schools. Health Education Journal 1998;57:105‐16. CENTRAL

Bollella 1999 {published data only}

Bollella MC, Spark A, Boccia LA, Nicklas TA, Pittman BP, Williams CL. Nutrient intake of Head Start children: home vs school. Journal of the American College of Nutrition 1999;18(2):108‐14. CENTRAL

Bonvecchio‐Arenas 2010 {published data only}

Bonvecchio‐Arenas A, Theodore FL, Hernandez‐Cordero S, Campirano‐Nunez F, Islas AL, Safdie M, et al. The school as an opportunity for obesity prevention: an experience from the Mexican school system [La escuela como alternativa en la prevencion de la obesidad: La experiencia en el sistema escolar Mexicano]. Revista Española de Nutricion Comunitaria 2010;16:13‐6. CENTRAL

Borys 2016 {published data only}

Borys JM, Richard P, Ruault du Plessis H, Harper P, Levy E. Tackling health inequities and reducing obesity prevalence: the EPODE community‐based approach. Annals of Nutrition & Metabolism 2016;68(Suppl 2):35‐8. CENTRAL

Bouhlal 2014 {published data only}

Bouhlal S, Issanchou S, Chabanet C, Nicklaus S. 'Just a pinch of salt'. An experimental comparison of the effect of repeated exposure and flavor‐flavor learning with salt or spice on vegetable acceptance in toddlers. Appetite 2014;83:209‐17. CENTRAL

Bradley 2014 {published data only}

Bradley CL. The effect of a classroom intervention on fruit and vegetable intake in preschoolers in a public school setting. Dissertation Abstracts International Section A: Humanities and Social Sciences2014; Vol. 75. CENTRAL

Brambilla 2010 {published data only}

Brambilla P, Bedogni G, Buongiovanni C, Brusoni G, Di Mauro G, Di Pietro M, et al. "Mi voglio bene": a pediatrician‐based randomized controlled trial for the prevention of obesity in Italian preschool children. Italian Journal of Pediatrics 2010;36:55. CENTRAL

Branscum 2013 {published data only}

Branscum P, Sharma M, Wang LL, Wilson BR, Rojas‐Guyler L. A true challenge for any superhero: an evaluation of a comic book obesity prevention program. Family & Community Health 2013;36:63‐76. CENTRAL
Branscum PW. Designing and evaluating an after‐school social cognitive theory based comic book intervention for the prevention of childhood obesity among elementary aged school children. Dissertation Abstracts International Section A: Humanities and Social Sciences 2012;73:87. CENTRAL

Briefel 2006 {published data only}

Briefel R, Hanson C, Fox MK, Novak T, Ziegler P. Feeding infants and toddlers study: do vitamin and mineral supplements contribute to nutrient adequacy or excess among US infants and toddlers?. Journal of the American Dietetic Association 2006;106:S52‐S65. CENTRAL

Briefel 2009 {published data only}

Briefel RR, Crepinsek MK, Cabili C, Wilson A, Gleason PM. School food environments and practices affect dietary behaviors of US public school children. Journal of the American Dietetic Association 2009;109:S91‐S107. CENTRAL

Briefel 2010 {published data only}

Briefel RR. New findings from the Feeding Infants and Toddlers Study: data to inform action. Journal of the American Dietetic Association 2010;110(12, Supplement):S5‐7. CENTRAL
Dwyer JT, Butte NF, Deming DM, Siega‐Riz AM, Reidy KC. Feeding Infants and Toddlers Study 2008: progress, continuing concerns, and implications. Journal of the American Dietetic Association 2010;110(12 Supplement):S60‐7. CENTRAL
May AL, Dietz WH. The Feeding Infants and Toddlers Study 2008: opportunities to assess parental, cultural, and environmental influences on dietary behaviors and obesity prevention among young children. Journal of the American Dietetic Association 2010;110(12 Supplement):S11‐5. CENTRAL

Briley 1999 {published data only}

Briley ME, Jastrow S, Vickers J, Roberts‐Gray C. Dietary intake at child‐care centers and away: are parents and child care providers working as partners or at cross‐purposes?. Journal of the American Dietetic Association 1999;99(8):950‐4. CENTRAL

Briley 2011 {published data only}

Briley M, McAllaster M. Nutrition and the child‐care setting. Journal of the American Dietetic Association 2011;111(9):1298‐300. CENTRAL

Briley 2016 {published data only}

Briley ME, Romo‐Palfox MJ, Sweitzer SJ, Roberts‐Gray C, Hoelscher DM, Nanjit N. Percent of energy consumed by preschool children vary by type of food offered. Obesity Reviews 2016;17:127‐8. CENTRAL

Britt‐Rankin 2016 {published data only}

Britt‐Rankin J. Healthy eating from head to toe. Journal of Nutrition Education and Behavior2016; Vol. 49, issue 1:83. CENTRAL

Brotman 2012 {published data only}

Brotman LM, Dawson‐McClure S, Huang K‐Y, Theise R, Kamboukos D, Wang J, et al. Early childhood family intervention and long‐term obesity prevention among high‐risk minority youth. Pediatrics 2012;129(3):e621‐8. CENTRAL

Bruening 1999 {published data only}

Bruening KS, Gilbride JA, Passannante MR, McClowry S. Dietary intake and health outcomes among young children attending 2 urban day‐care centers. Journal of the American Dietetic Association 1999;99(12):1529‐35. CENTRAL

Brunt 2012 {published data only}

Brunt A. P136 Do spokes‐characters improve consumption of vegetables among children?. Journal of Nutrition Education & Behavior 2012;44:S77‐8. CENTRAL

Bryant 2017 {published data only}

Bryant M, Burton W, Cundill B, Farrin AJ, Nixon J, Stevens J, et al. Effectiveness of an implementation optimisation intervention aimed at increasing parent engagement in HENRY, a childhood obesity prevention programme ‐ the Optimising Family Engagement in HENRY (OFTEN) trial: study protocol for a randomised controlled trial. Trials2017; Vol. 3, issue 18:40. CENTRAL

Burgermaster 2017 {published data only}

Burgermaster M, Koroly J, Contento I, Koch P, Gray HL. A mixed‐methods comparison of classroom context during food, health & choices, a childhood obesity prevention intervention. Journal of School Health 2017;87(11):811‐22. CENTRAL

Burgi 2011 {published data only}

Niederer I, Burgi F, Ebenegger V, Schindler C, Marques‐Vidal P, Kriemler S, et al. Effect of a lifestyle intervention on adiposity and fitness in high‐risk subgroups of preschoolers (Ballabeina): a cluster‐randomized trial. Endocrine Reviews2011; Vol. 32. CENTRAL
Niederer I, Kriemler S, Zahner L, Burgi F, Ebenegger V, Hartmann T, et al. Influence of a lifestyle intervention in preschool children on physiological and psychological parameters (Ballabeina): study design of a cluster randomized controlled trial. BMC Public Health 2009;9:94. CENTRAL
Puder JJ, Marques‐Vidal P, Schindler C, Zahner L, Niederer I, Bürgi F, et al. Effect of multidimensional lifestyle intervention on fitness and adiposity in predominantly migrant preschool children (Ballabeina): cluster randomised controlled trial. BMJ 2011;343:d6195. CENTRAL

Buttriss 2004 {published data only}

Buttriss J. Food promotion to children: the facts. Nutrition Bulletin 2004;29:3‐5. CENTRAL

Byrd‐Bredbenner 2012 {published data only}

Byrd‐Bredbenner C, Worobey J, Martin‐Biggers J, Berhaupt‐Glickstein A, Hongu N, Hernandez G. HomeStyles: shaping home environments and lifestyle practices to prevent childhood obesity: a randomized controlled trial. Journal of Nutrition Education and Behavior 2014;46(4 Supplement):S190. CENTRAL
Byrd‐Bredbenner C, Worobey J, Martin‐Biggers J, Berhaupt‐Glickstein A, Hongu N, Hernandez G, et al. HomeStyles: shaping home environments and lifestyle practices to prevent childhood obesity: a randomized controlled trial. Journal of Nutrition Education and Behavior 2012;44(4 Supplement):S81. CENTRAL

Byrne 2002 {published data only}

Byrne E, Nitzke S. Preschool children’s acceptance of a novel vegetable following exposure to messages in a storybook. Journal of Nutrition Education and Behavior 2002;34:211‐4. CENTRAL

Camelo 2016 {published data only}

Camelo R. Ludotecas Saludables: towards healthier lifestyles. Journal of Nutrition Education and Behavior 2016;48(7):S21. CENTRAL

Campbell 2016a {published data only}

Campbell KJ, Hesketh KD, McNaughton SA, Ball K, McCallum Z, Lynch J, et al. The extended Infant Feeding, Activity and Nutrition Trial (InFANT Extend) Program: a cluster‐randomized controlled trial of an early intervention to prevent childhood obesity. BMC Public Health 2016;16(1):166. CENTRAL
Downing KL, Campbell KJ, Van der Pligt P, Hesketh KD. Facilitator and participant use of Facebook in a community‐based intervention for parents: the InFANT Extend Program. Childhood Obesity 2017;13(6):443‐54. CENTRAL

Campbell 2016b {published data only}

Campbell RK, Hurley KM, Shamim AA, Shaikh S, Chowdhury ZT, Mehra S, et al. Effect of complementary food supplementation on breastfeeding and home diet in rural Bangladeshi children. American Journal of Clinical Nutrition2016; Vol. 104, issue 5:1450‐8. CENTRAL

Campbell 2017 {published data only}

Campbell KJ, Abbott G, Zheng, M, McNaughton SA. Early life protein intake: food sources, correlates, and tracking across the first 5 years of life. Journal of the Academy of Nutrition and Dietetics2017; Vol. 117, issue 8:1188‐97. CENTRAL

Candido 2013 {published data only}

Candido A, Godinho C, Amendoeira J. Health promoting school project as a vehicle for the promotion of healthy lifestyles: the importance of food. Atencion Primaria 2013;45:21. CENTRAL

Capaldi‐Phillips 2014 {published data only}

Capaldi‐Phillips ED, Wadhera D. Associative conditioning can increase liking for and consumption of brussels sprouts in children aged 3 to 5 Years. Journal of the Academy of Nutrition and Dietetics 2014;114(8):1236‐41. CENTRAL

Carney 2017 {published data only}

Carney E. Children's Response to Flavor Variety In Herb and Spice Seasoned Vegetables Served Within a Meal [Masters Thesis]. Pennsylvania: Pennsylvania State University, 2017. CENTRAL

Carter 2005 {published data only}

Carter BJ, Birnbaum AS, Hark L, Vickery B, Potter C, Osborne MP. Gem no. 392. Using media messaging to promote healthful eating and physical activity among urban youth. Journal of Nutrition Education & Behavior 2005;37:98‐9. CENTRAL

Cason 2001 {published data only}

Cason KL. Evaluation of a preschool nutrition education program based on the theory of multiple intelligences. Journal of Nutrition Education 2001;33:161‐4. CENTRAL

Castro 2013 {published data only}

Castro DC, Samuels M, Harman AE. Growing healthy kids: a community garden‐based obesity prevention program. American Journal of Preventive Medicine 2013;44(3 Suppl 3):S193‐9. CENTRAL

Cates 2014 {published data only}

Cates S, Williams P, Hersey J, Blitstein J, Kosa K, Singh A, et al. SNAP‐Ed interventions can increase children's at‐home fruit and vegetable consumption and use of fat‐free/low‐fat milk. Journal of Nutrition Education and Behavior 2014;46(4 Supplement):S181. CENTRAL
Williams PA, Cates SC, Blitstein JL, Hersey JC, Kosa KM, Long VA, et al. Evaluating the impact of six supplemental nutrition assistance program education interventions on children's at‐home diets. Health Education & Behavior 2015;42(3):329‐38. CENTRAL

Caton 2014 {published data only}

Caton SJ, Blundell P, Ahern SM, Nekitsing C, Olsen A, Moller P, et al. Learning to eat vegetables in early life: the role of timing, age and individual eating traits. PLoS One 2014;9:e97609. CENTRAL

Céspedes 2012 {published data only}

Céspedes J, Briceño G, Farkouh M, Vedanthan R, Leal M, Dennis R, et al. A randomized preschool trial to promote cardiovascular health in Colombia: 12 month follow up. Circulation 2012;125(19):e703. CENTRAL
Céspedes J, Briceño G, Farkouh ME, Vedanthan R, Baxter J, Leal M, et al. Promotion of cardiovascular health in preschool children: 36‐month cohort follow‐up. American Journal of Medicine 2013;126(12):1122‐6. CENTRAL
Céspedes J, Briceño G, Farkouh ME, Vedanthan R, Baxter J, Leal M, et al. Targeting preschool children to promote cardiovascular health: cluster randomized trial. American Journal of Medicine 2013;126(1):27‐35. CENTRAL

Chatham 2016 {published data only}

Chatham C, Huye HF, Landry AS. Impact of packaging on children's food choices. Journal of the Academy of Nutrition and Dietetics 2016;116(9):A22. CENTRAL

Chen 2015 {published data only}

Chen Q, Goto K, Wolff C, Zhao Y. Relationships between children's exposure to ethnic produce and their dietary behaviors. Journal of Immigrant & Minority Health 2015;17(2):383‐8. CENTRAL

Ciampolini 1991 {published data only}

Ciampolini M, Vicarelli D, Bini S. Choices at weaning: main factor in ingestive behavior. Nutrition 1991;7(1):51‐4. CENTRAL

Clason 2016 {published data only}

Clason ER, Meijer D. "Eat your greens": increasing the number of days that picky toddlers eat vegetables. Social Marketing Quarterly 2016;22(2):119‐37. CENTRAL

Coelho 2012 {published data only}

Coelho JS, Akker K, Nederkoorn C, Jansen A. Pre‐exposure to high‐ versus low‐caloric foods: effects on children's subsequent fruit intake. Eating Behaviors2012; Vol. 13, issue 1:71‐3. CENTRAL

Cohen 2014 {published data only}

Cohen JFW, Kraak VI, Choumenkovitch SF, Hyatt RR, Economos CD. The CHANGE Study: a healthy‐lifestyles intervention to improve rural children's diet quality. Journal of the Academy of Nutrition and Dietetics 2014;114(1):48‐53. CENTRAL

Coleman 2005 {published data only}

Coleman G, Horodynski MA, Contreras D, Hoerr SM. Nutrition education aimed at toddlers (NEAT) curriculum. Journal of Nutrition Education and Behavior 2005;37(2):96‐7. CENTRAL
Horodynski MA, Stommel M. Nutrition education aimed at toddlers: an intervention study. Pediatric Nursing 2005;31(5):364‐72. CENTRAL

Collins 2011 {published data only}

Burrows T, Janet WM, Collins CE. Long‐term changes in food consumption trends in overweight children in the HIKCUPS intervention. Journal of Pediatric Gastroenterology & Nutrition 2011;53(5):543‐7. CENTRAL
Burrows T, Warren J, Bau L, Collins C. Impact of a child obesity intervention on dietary intake and behaviors. International Journal of Obesity 2008;32(10):1481‐8. CENTRAL
Collins CE, Okely AD, Morgan PJ, Jones RA, Burrows TL, Cliff DP, et al. Parent diet modification, child activity, or both in obese children: an RCT. Pediatrics 2011;127(4):619‐27. CENTRAL

Condrasky 2006 {published data only}

Condrasky M, Graham K, Kamp J. Cooking with a chef: an innovative program to improve mealtime practices and eating behaviors of caregivers of preschool children. Journal of Nutrition Education and Behavior 2006;38(5):324‐5. CENTRAL

Cooper 2011 {published data only}

Cooper N, Jones C. Improving the quality of packed lunches in primary school children. Journal of Human Nutrition & Dietetics 2011;24:384‐5. CENTRAL

Cooperberg 2014 {published data only}

Cooperberg J. Food for Thought: a parental internet‐based intervention to treat childhood obesity in preschool‐aged children. Dissertation Abstracts International: Section B: The Sciences and Engineering2014; Vol. 74. CENTRAL

Copeland 2010 {published data only}

Copeland AL, Williamson DA, Kendzor DE, Businelle MS, Rash CJ, Kulesza M, et al. A school‐based alcohol, tobacco, and drug prevention program for children: The Wise Mind study. Cognitive Therapy and Research 2010;34:522‐32. CENTRAL

Coppinger 2016 {published data only}

Coppinger T, Lacey S, O'Neill C, Burns C. 'Project Spraoi': a randomized control trial to improve nutrition and physical activity in school children. Contemporary Clinical Trials Communications 2016;3:94‐101. CENTRAL

Corsini 2013 {published data only}

Corsini N, Slater A, Harrison A, Cooke L, Cox DN. Rewards can be used effectively with repeated exposure to increase liking of vegetables in 4‐6‐year‐old children. Public Health Nutrition 2013;16(5):942‐51. CENTRAL

Cotwright 2015 {published data only}

Cotwright CJ, Bales DW, Lee JS, Parrott K, Celestin N, Olubajo B. Like peas and carrots: combining wellness policy implementation with classroom education for obesity prevention in the childcare setting. Public Health Reports 2015;132(Suppl 2):74S‐80S. CENTRAL

Cotwright 2017 {published data only}

Cotwright C, Bales D, Lee JS, Akin J. Taste & See: improving willingness to try fruit and vegetables among low‐income preschool children. Journal of Nutrition Education and Behavior2017; Vol. 49, issue 7:S2. CENTRAL

Coulthard 2018 {published data only}

Coulthard H, Williamson I, Palfreyman Z, Lyttle S. Evaluation of a pilot sensory play intervention to increase fruit acceptance in preschool children. Appetite 2018;120:609‐15. CENTRAL

Court 1977 {published data only}

Court JM. Obesity in childhood. The Medical Journal of Australia 1977;1(24):888‐91. CENTRAL

Crespo 2012 {published data only}

Crespo NC, Elder JP, Ayala GX, Slymen DJ, Campbell NR, Sallis JF, et al. Results of a multi‐level intervention to prevent and control childhood obesity among Latino children: the Aventuras Para Niños Study. Annals of Behavioral Medicine 2012;43(1):84‐100. CENTRAL

Croker 2012 {published data only}

Croker H, Lucas R, Wardle J. Cluster‐randomised trial to evaluate the 'Change for Life' mass media/ social marketing campaign in the UK. BMC Public Health 2012;12:404. CENTRAL

Cruz 2014 {published data only}

Cruz TH, Davis SM, FitzGerald CA, Canaca GF, Keane PC. Engagement, recruitment, and retention in a trans‐community, randomized controlled trial for the prevention of obesity in rural American Indian and Hispanic children. Journal of Primary Prevention 2014;35(3):135‐49. CENTRAL

Cullen 2013 {published data only}

Cullen KW, Dave JM, Chen A, Elliott L, Walker F, Jensen H. Implementing the new school meal regulations: do elementary school children select and eat 1 fruit and 2 vegetable servings when allowed?. Journal of the Academy of Nutrition and Dietetics 2013;113(9):A11. CENTRAL

Cullen 2015 {published data only}

Cullen KW, Chen TA, Dave JM, Jensen H. Differential improvements in student fruit and vegetable selection and consumption in response to the new national school lunch program regulations: a pilot study. Journal of the Academy of Nutrition and Dietetics2015; Vol. 115, issue 5:743‐50. CENTRAL

Curtis 2012 {published data only}

Curtis PJ, Adamson AJ, Mathers JC. Effects on nutrient intake of a family‐based intervention to promote increased consumption of low‐fat starchy foods through education, cooking skills and personalised goal setting: the Family Food and Health Project. British Journal of Nutrition 2012;107(12):1833‐44. CENTRAL

Dai 2015 {published data only}

Dai C‐L. Evaluation of an afterschool obesity prevention program: Children's Healthy Eating and Exercise Program. Dissertation Abstracts International Section A: Humanities and Social Sciences2015; Vol. 76, issue 2‐A(E). CENTRAL

Dalton 2011 {published data only}

Dalton WT, Schetzina KE, Holt N, Fulton‐Robinson H, Ho AL, Tudiver F, et al. Parent‐led activity and nutrition (plan) for healthy living: design and methods. Contemporary Clinical Trials 2011;32(6):882‐92. CENTRAL

Daniels 2012 {published data only}

Byrne R, Yeo MEJ, Mallan K, Magarey A, Daniels L. Is higher formula intake and limited dietary diversity in Australian children at 14 months of age associated with dietary quality at 24 months?. Appetite 2018;120:240‐5. CENTRAL
Daniels LA. Complementary feeding in an obesogenic environment: behavioral and dietary quality outcomes and interventions. Nestle Nutrition Institute Workshop Series 2017;87:167‐81. CENTRAL
Daniels LA, Mallan KM, Battistutta D, Nicholson JM, Perry R, Magarey A. Evaluation of an intervention to promote protective infant feeding practices to prevent childhood obesity: outcomes of the NOURISH RCT at 14 months of age and 6 months post the first of two intervention modules. International Journal of Obesity2012; Vol. 36, issue 10:1292‐8. CENTRAL
Daniels LA, Mallan KM, Nicholson JM, Thorpe K, Nambiar S, Mauch CE, et al. An early feeding practices intervention for obesity prevention. Pediatrics2015; Vol. 136, issue 1:e40‐9. CENTRAL
Daniels LA, Wilson JL, Mallan KM, Mihrshahi S, Perry R, Nicholson JM, et al. Recruiting and engaging new mothers in nutrition research studies: lessons from the Australian NOURISH randomised controlled trial. International Journal of Behavioral Nutrition and Physical Activity2012; Vol. 9:129. CENTRAL

Dannefer 2017 {published data only}

Dannefer R, Power L, Berger R, Sacks R, Roberts C, Bikoff R, et al. Process evaluation of a farm‐to‐preschool program in New York City. Journal of Hunger & Environmental Nutrition 2017;Epub ahead of print:1‐19. CENTRAL

Davis 2013 {published data only}

Davis SM, Sanders SG, FitzGerald CA, Keane PC, Canaca GF, Volker‐Rector R. CHILE: an evidence‐based preschool intervention for obesity prevention in Head Start. Journal of School Health 2013;83(3):223‐9. CENTRAL

Davoli 2013 {published data only}

Davoli AM, Broccoli S, Bonvicini L, Fabbri A, Ferrari E, D'Angelo S, et al. Pediatrician‐led motivational interviewing to treat overweight children: an RCT. Pediatrics2013; Vol. 132, issue 5:e1236‐46. CENTRAL

Day 2008 {published data only}

Day ME, Strange KS, McKay HA, Naylor P. Action schools! BC‐‐Healthy Eating: effects of a whole‐school model to modifying eating behaviours of elementary school children. Canadian Journal of Public Health 2008;99(4):328‐31. CENTRAL

Dazeley 2015 {published data only}

Dazeley P, Houston‐Price C. Exposure to foods' non‐taste sensory properties. A nursery intervention to increase children's willingness to try fruit and vegetables. Appetite 2015;84:1‐6. CENTRAL

De Bourdeaudhuij 2015 {published data only}

Arvidsson L, Bogl LH, Eiben G, Hebestreit A, Nagy P, Tornaritis M, et al. Fat, sugar and water intakes among families from the IDEFICS intervention and control groups: first observations from i.family. Obesity Reviews2015; Vol. 16:127‐37. CENTRAL
Bammann K, Peplies J, Sjostrom M, Lissner L, De Henauw S, Galli C, et al. Assessment of diet, physical activity and biological, social and environmental factors in a multi‐centre European project on diet‐ and lifestyle‐related disorders in children (IDEFICS). Journal of Public Health 2006;14:279‐89. CENTRAL
De Bourdeaudhuij I, Verbestel V, De Henauw S, Maes L, Huybrechts I, Marild S, et al. Behavioural effects of a community‐oriented setting‐based intervention for prevention of childhood obesity in eight European countries. Main results from the IDEFICS study. Obesity Reviews 2015;16 Suppl 2:30‐40. CENTRAL
Verbestel V, De Henauw S, Maes L, Haerens L, Mårild S, Eiben G, et al. Using the intervention mapping protocol to develop a community‐based intervention for the prevention of childhood obesity in a multi‐centre European project: the IDEFICS intervention. International Journal of Behavioral Nutrition & Physical Activity 2011;8:82. CENTRAL

De Droog 2011 {published data only}

De Droog SM, Valkenburg PM, Buijzen M. Using brand characters to promote young children's liking of and purchase requests for fruit. Journal of Health Communication 2011;16(1):79‐89. CENTRAL

De Droog 2012 {published data only}

De Droog SM, Buijzen M, Valkenburg PM. Use a rabbit or a rhino to sell a carrot? The effect of character‐product congruence on children's liking of healthy foods. Journal of Health Communication 2012;17(9):1068‐80. CENTRAL

Delgado 2014 {published data only}

Delgado EG, De Cosso TG, Aragons AC, Pelletier D, Quezada AD, Ramrez SR. Effect of a food aid program on BMI/A of Mexican children, mediated by diet. FASEB Journal2014; Vol. 1. CENTRAL

De Pee 1998 {published data only}

De Pee S, Bloem MW, Satoto, Yip R, Sukaton A, Tjiong R, et al. Impact of a social marketing campaign promoting dark‐green leafy vegetables and eggs in Central Java, Indonesia. International Journal of Vitamin and Nutrient Research 1998;68(6):389‐98. CENTRAL

De Silva‐Sanigorski 2010 {published data only}

De Silva‐Sanigorski AM, Bell AC, Kremer P, Nichols M, Crellin M, Smith M, et al. Reducing obesity in early childhood: results from Romp & Chomp, an Australian community‐wide intervention program. American Journal of Clinical Nutrition 2010;91:831‐40. CENTRAL

Dick 2016 {published data only}

Dick L. Sowing seeds for healthy kids. Journal of Nutrition Education and Behavior 2016;48(5):358. CENTRAL

Dollahite 2014 {published data only}

Dollahite JS, Pijai EI, Scott‐Pierce M, Parker C, Trochim W. A randomized controlled trial of a community‐based nutrition education program for low‐income parents. Journal of Nutrition Education and Behavior 2014;46(2):102‐9. CENTRAL

Dorado 2015 {published data only}

Dorado J, Azana G, Viajar R, Capanzana M. Improving nutrition knowledge, attitude and behavior of selected Filipino schoolchildren in the Healthy Kids Program. Journal of Nutrition Education and Behavior 2015;47(4):S6‐7. CENTRAL

Draper 2010 {published data only}

Draper CE, De Villiers A, Lambert EV, Fourie J, Hill J, Dalais L, et al. HealthKick: a nutrition and physical activity intervention for primary schools in low‐income settings. BMC Public Health 2010;10:398. CENTRAL
Uys M, Draper CE, Hendricks S, De Villiers A, Fourie J, Steyn NP, et al. Impact of a South African school‐based Intervention, HealthKick, on fitness correlates. American Journal of Health Behavior 2016;40(1):55‐66. CENTRAL

Duke 2011 {published data only}

Duke T. Randomised trials in child health in developing countries 2011. Annals of Tropical Paediatrics 2011;31(4):283‐5. CENTRAL

Duncanson 2017 {published data only}

Duncanson K, Lee YQ, Burrows T, Collins C. Utility of a brief index to measure diet quality of Australian preschoolers in the Feeding Healthy Food to Kids Randomised Controlled Trial. Nutrition & Dietetics2017; Vol. 74, issue 2:158‐66. CENTRAL

Dunn 2004 {published data only}

Dunn C, Thomas C, Pegram L, Ward D, Schmal S. Color me healthy, preschoolers moving and eating healthfully. Journal of Nutrition Education and Behavior 2004;36(6):327‐8. CENTRAL
Dunn C, Thomas C, Ward D, Pegram L, Webber K, Cullitan C. Design and implementation of a nutrition and physical activity curriculum for child care settings. Preventing Chronic Disease 2006;3:A58. CENTRAL

Eicholzer‐Helbling 1986 {published data only}

Eicholzer‐Helbling M, Ritzel G, Ackermann‐Liebrich U, Bachlin A, Muhlemann R. Nutrition education in kindergarten: results of an intervention study [Ernahrungserziehung im kindergarten: resultate einer interventionsstudie]. Sozial‐ und Praventivmedizin 1986;31(4‐5):233‐5. CENTRAL

Elder 2014 {published data only}

Elder JP, Crespo NC, Corder K, Ayala GX, Slymen DJ, Lopez NV, et al. Childhood obesity prevention and control in city recreation centres and family homes: the MOVE/me Muevo Project. Pediatric Obesity 2014;9(3):218‐31. CENTRAL

Elizondo‐Montemayor 2014 {published data only}

Elizondo‐Montemayor L, Moreno‐Sanchez D, Gutierrez NG, Monsivais‐Rodriguez F, Martinez U, Lamadrid‐Zertuche AC, et al. Individualized tailor‐made dietetic intervention program at schools enhances eating behaviors and dietary habits in obese Hispanic children of low socioeconomic status. Scientific World Journal 2014;2014:484905. CENTRAL

Epstein 2001 {published data only}

Epstein LH, Gordy CC, Raynor HA, Beddome M, Kilanowski CK, Paluch R. Increasing fruit and vegetable intake and decreasing fat and sugar intake in families at risk for childhood obesity. Obesity Research 2001;9(3):171‐8. CENTRAL

Esfarjani 2013 {published data only}

Esfarjani F, Khalafi M, Mohammadi F, Mansour A, Roustaee R, Zamani‐Nour N, et al. Family‐based intervention for controlling childhood obesity: an experience among Iranian children. International Journal of Preventive Medicine 2013;4(3):358‐65. CENTRAL

Esquivel 2016 {published data only}

Esquivel M, Nigg CR, Fialkowski MK, Braun KL, Li F, Novotny R. Head Start wellness policy intervention in Hawaii: a project of the Children's Healthy Living Program. Childhood Obesity 2016;12(1):26‐32. CENTRAL

Estabrooks 2009 {published data only}

Estabrooks PA, Shoup JA, Gattshall M, Dandamudi P, Shetterly S, Xu S. Automated telephone counseling for parents of overweight children. A randomized controlled trial. American Journal of Preventive Medicine 2009;36(1):35‐42. CENTRAL

Evans 2006 {published data only}

Evans AE, Dave J, Tanner A, Duhe S, Condrasky M, Wilson D, et al. Changing the home nutrition environment. Effects of a nutrition and media literacy pilot intervention. Family and Community Health 2005;29(1):43‐54. CENTRAL

Evans 2011 {published data only}

Evans WD, Christoffel KK, Necheles J, Becker AB, Snider J. Outcomes of the 5‐4‐3‐2‐1 Go! Childhood obesity community trial. American Journal of Health Behavior 2011;35(2):189‐98. CENTRAL
Evans WD, Wallace J, Snider J. The 5‐4‐3‐2‐1 go! Brand to promote nutrition and physical activity: a case of positive behavior change but negative change in beliefs. Journal of Health Communication 2015;20(5):512‐20. CENTRAL

Evans 2016 {published data only}

Evans A, Ranjit N, Hoelscher D, Jovanovic C, Lopez M, McIntosh A, et al. Impact of school‐based vegetable garden and physical activity coordinated health interventions on weight status and weight‐related behaviors of ethnically diverse, low‐income students: study design and baseline data of the Texas, Grow! Eat! Go! (TGEG) cluster‐randomized controlled trial. BMC Public Health2016; Vol. 16:973. CENTRAL

Evenson 2016 {published data only}

Evenson A, Pulvermacher A, Anderson M. Acceptability of different squash variety recipes to increase red‐orange vegetable consumption. Journal of the Academy of Nutrition and Dietetics 2016;116(9):A42. CENTRAL

Faber 2002 {published data only}

Faber M, Phungula MAS, Venter SL, Dhansay MA, Spinnler Benade AJ. Home gardens focusing on the production of yellow and dark‐green leafy vegetables increases the serum retinol concentrations of 2‐5‐y‐old children in South Africa. American Journal of Clinical Nutrition 2002;76(5):1048‐54. CENTRAL

Faith 2006 {published data only}

Faith MS, Rose E, Matz PE, Pietrobelli A, Epstein LH. Co‐twin control designs for testing behavioral economic theories of child nutrition: methodological note. International Journal of Obesity 2006;30(10):1501‐5. CENTRAL

Fangupo 2015 {published data only}

Fangupo LJ, Heath AL, Williams SM, Somerville MR, Lawrence JA, Gray AR, et al. Impact of an early‐life intervention on the nutrition behaviors of 2‐y‐old children: a randomized controlled trial. American Journal of Clinical Nutrition 2015;102(3):704‐12. CENTRAL

Fernandes 2011 {published data only}

Fernandes T. Healthy eating. Nursing Standard 2011;25:58. CENTRAL

Fernández‐Alvira 2013 {published data only}

Fernández‐Alvira JM, De Bourdeaudhuij I, Singh AS, Vik FN, Manios Y, Kovacs E, et al. Clustering of energy balance‐related behaviors and parental education in European children: the ENERGY‐project. International Journal of Behavioral Nutrition & Physical Activity 2013;10:5‐14. CENTRAL

Fialkowski 2013 {published data only}

Fialkowski MK, DeBaryshe B, Bersamin A, Nigg C, Leon Guerrero R, Rojas G, et al. A community engagement process identifies environmental priorities to prevent early childhood obesity: The Children's Healthy Living (CHL) program for remote underserved populations in the US Affiliated Pacific Islands, Hawaii and Alaska. Maternal and Child Health Journal 2013;18(10):2261‐74. CENTRAL
Novotny R, Areta A, Bersamin A, Deenik J, Kim JH, Leon‐Guerrero R. Children's Healthy Living Program (CHL) for remote underserved minority populations of the Pacific region. Journal of Nutrition Education and Behavior 2014;46(4 Supplement):S196‐7. CENTRAL

Fisher 2007 {published data only}

Fisher JO, Arreola A, Birch LL, Rolls BJ. Portion size effects on daily energy intake in low‐income Hispanic and African American children and their mothers. American Journal of Clinical Nutrition 2007;86(6):1709‐16. CENTRAL

Fisher 2013 {published data only}

Fisher JO, Birch LL, Zhang J, Grusak MA, Hughes SO. External influences on children's self‐served portions at meals. International Journal of Obesity 2013;37(7):954‐60. CENTRAL

Fisher 2014 {published data only}

Fisher M, Fiese B. Implementation of the Sprouts Growing Healthy Habits Curriculum in preschool and kindergarten classrooms: is it feasible?. Journal of Nutrition Education and Behavior 2014;46(4 Supplement):S143. CENTRAL

Fishman 2016 {published data only}

Fishman L. Don't be duped by these fruit & veggie fakes. Journal of Nutrition Education and Behavior 2016;48(2):158.e5. CENTRAL

Fitzgibbon 2002 {published data only}

Fitzgibbon ML, Stolley MR, Dyer AR, VanHorn L, Kaufer Christoffel K. A community‐based obesity prevention program for minority children: rationale and study design for Hip‐Hop to Health Jr. Preventive Medicine 2002;34:289‐97. CENTRAL

Fitzpatrick 1997 {published data only}

Fitzpatrick P, Molloy B, Johnson Z. Community mothers' programme: extension to the travelling community in Ireland. Journal of Epidemiology & Community Health 1997;51(3):299‐303. CENTRAL

Fletcher 2009 {published data only}

Fletcher A, Cooper JR, Helms P, Northington L, Winter K. Stemming the tide of childhood obesity in an underserved urban African American population: a pilot study. The ABNF Journal 2009;20(2):44. CENTRAL

Foerster 1998 {published data only}

Foerster SB, Gregson J, Beall DL, Hudes M, Magnuson H, Livingston S, et al. The California Children's 5 a day‐ power play! campaign: evaluation of a large‐scale social marketing initiative. Family and Community Health 1998;21(1):46‐64. CENTRAL

Folta 2006 {published data only}

Folta SC, Goldberg JP, Economos C, Bell R, Landers S, Hyatt R. Assessing the use of school public address systems to deliver nutrition messages to children: Shape Up Somerville ‐ audio adventures. Journal of School Health 2006;76(9):459‐64. CENTRAL
Goldberg JP, Collins JJ, Folta SC, McLarney MJ, Kozower C, Kuder J, et al. Retooling food service for early elementary school students in Somerville, Massachusetts: The Shape Up Somerville experience. Preventing Chronic Disease 2009;6(3):1‐8. CENTRAL

Fournet 2014 {published data only}

Fournet RM. Teaching gardening and food choices to children living in a food desert... 2014 Food & Nutrition Conference & Expo, October 18‐21, 2014, Atlanta, GA. Journal of the Academy of Nutrition & Dietetics 2014;114:A88. CENTRAL

Freedman 2010 {published data only}

Freedman MR, Alvarez KP. Early childhood feeding: assessing knowledge, attitude, and practices of multi‐ethnic child‐care providers. Journal of the American Dietetic Association 2010;110(3):447‐51. CENTRAL

French 2012 {published data only}

French GM, Nicholson L, Skybo T, Klein EG, Schwirian PM, Murray‐Johnson L, et al. An evaluation of mother‐centered anticipatory guidance to reduce obesogenic infant feeding behaviors. Pediatrics 2012;130(3):e507‐17. CENTRAL
Groner JA, Skybo T, Murray‐Johnson L, Schwirian P, Eneli I, Sternstein A, et al. Anticipatory guidance for prevention of childhood obesity: design of the MOMS Project. Clinical Pediatrics 2009;48(5):483‐92. CENTRAL

Frenn 2013 {published data only}

Frenn M, Pruszynski JE, Felzer H, Zhang J. Authoritative feeding behaviors to reduce child BMI through online interventions. Journal for Specialists in Pediatric Nursing 2013;18(1):65‐77. CENTRAL

Friedl 2014 {published data only}

Friedl KE, Rowe S, Bellows LL, Johnson SL, Hetherington MM, De Froidmont‐Görtz I, et al. Report of an EU‐US Symposium on understanding nutrition‐related consumer behavior: strategies to promote a lifetime of healthy food choices. Journal of Nutrition Education & Behavior 2014;46(5):445‐50. CENTRAL

Friend 2015a {published data only}

Friend S, Fulkerson J, Flattum C, Horning M, Olson C, Barlow T, et al. Cooking with kids in rural Minnesota: family meals and interest in family‐focused, community‐based, healthful‐eating programs. Journal of Nutrition Education and Behavior 2015;47(4):S9. CENTRAL

Friend 2015b {published data only}

Draxten M, Fulkerson JA, Friend S, Flattum CF, Schow R. Parental role modeling of fruits and vegetables at meals and snacks is associated with children's adequate consumption. Appetite 2014;78:1‐7. CENTRAL
Friend S, Fulkerson JA, Neumark‐Sztainer D, Garwick A, Flattum CF, Draxten M. Comparing childhood meal frequency to current meal frequency, routines, and expectations among parents. Journal of Family Psychology2015; Vol. 29, issue 1:136‐40. CENTRAL

Gaglianone 2006 {published data only}

Gaglianone CP, De Aguiar Carrazedo Taddei JA, Colugnati Fernando AB, Góes Magalhães C, Mochi Davanço G, De Macedo L, et al. Nutrition education in public elementary schools of São Paulo, Brazil: the Reducing Risks of Illness and Death in Adulthood project. Revista de Nutrição 2006;19:309‐20. CENTRAL

Gallo 2017 {published data only}

Gallo S, Kohn Rhoades S, De Jonge L, Canales J, Sanchez K. Childhood Health, Education, & Wellness (CHEW): a pilot trial for an individualized, family‐centered and culturally adapted program targeting childhood obesity among Latino children. Journal of the Academy of Nutrition and Dietetics2017; Vol. 117, issue 9:A19. CENTRAL

Gallotta 2016 {published data only}

Gallotta MC, Iazzoni S, Emerenziani GP, Meucci M, Migliaccio S, Guidetti L, et al. Effects of combined physical education and nutritional programs on schoolchildren's healthy habits. PeerJ 2016;4:e1880. CENTRAL

Garcia‐Lascurain 2006 {published data only}

Garcia‐Lascurain MC, Kicklighter JR, Jonnalagadda SS, Boudolf EA, Duchon D. Effect of a nutrition education program on nutrition‐related knowledge of English‐as‐second‐language elementary school students: a pilot study. Journal of Immigrant & Minority Health 2006;8(1):57‐65. CENTRAL

Gardiner 2017 {published data only}

Gardiner CK, Bryan AD. Monetary incentive interventions can enhance psychological factors related to fruit and vegetable consumption. Annals of Behavioral Medicine 2017;51(4):599‐609. CENTRAL

Gaughan 2016 {published data only}

Gaughan M, Brinckman D. Telephonic health coaching: an innovative method to promote health behavior change among participants in Supplemental Nutrition Assistance Program‐Education (SNAP‐Ed). Journal of the Academy of Nutrition and Dietetics 2016;116(9):A65. CENTRAL

Gelli 2016 {published data only}

Gelli A, Masset E, Folson G, Kusi A, Arhinful DK, Asante F, et al. Evaluation of alternative school feeding models on nutrition, education, agriculture and other social outcomes in Ghana: rationale, randomised design and baseline data. Trials 2016;17(1):37. CENTRAL

Gentile 2009 {published data only}

Gentile DA, Welk G, Eisenmann JC, Reimer RA, Walsh DA, Russell DW, et al. Evaluation of a multiple ecological level child obesity prevention program: Switch® what you Do, View, and Chew. BMC Medicine 2009;7:49. CENTRAL

Gittelsohn 2010 {published data only}

Gittelsohn J, Vijayadeva V, Davison N, Ramirez V, Cheung LWK, Murphy S, et al. A food store intervention trial improves caregiver psychosocial factors and children's dietary intake in Hawaii. Obesity 2010;18(1):S84‐S90. CENTRAL

Glanz 2012 {published data only}

Glanz K, Hersey J, Cates S, Muth M, Creel D, Nicholls J, et al. Effect of a nutrient rich foods consumer education program: results from the nutrition advice study. Journal of the Academy of Nutrition & Dietetics 2012;112(1):56‐63. CENTRAL

Glasper 2011 {published data only}

Glasper A. Does the media promote healthy nutrition for children?. British Journal of Nursing 2011;20(15):940‐1. CENTRAL

Glasson 2012 {published data only}

Glasson C, Chapman K, Gander K, Wilson T, James E. The efficacy of a brief, peer‐led nutrition education intervention in increasing fruit and vegetable consumption: a wait‐list, community‐based randomised controlled trial. Public Health Nutrition 2012;15(7):1318‐26. CENTRAL

Glasson 2013 {published data only}

Glasson C, Chapman K, Wilson T, Gander K, Hughes C, Hudson N, et al. Increased exposure to community‐based education and 'below the line' social marketing results in increased fruit and vegetable consumption. Public Health Nutrition2013; Vol. 16, issue 11:1961‐70. CENTRAL

Golley 2012 {published data only}

Golley RK, Hendrie GA. The impact of replacing regular‐ with reduced‐fat dairy foods on children's wider food intake: secondary analysis of a cluster RCT. European Journal of Clinical Nutrition 2012;66(10):1130‐4. CENTRAL

Gordon 2016 {published data only}

Gordon AR, Briefel RR, Collins AM, Rowe GM, Klerman JA. Delivering summer electronic benefit transfers for children through the supplemental nutrition assistance program or the special supplemental nutrition program for women, infants, and children: benefit use and impacts on food security and foods consumed. Journal of the Academy of Nutrition and Dietetics2016; Vol. 117, issue 3:367‐75. CENTRAL

Gorham 2015 {published data only}

Gorham G, Dulin‐Keita A, Risica PM, Mello J, Papandonatos G, Nunn A, et al. Effectiveness of Fresh to You, a discount fresh fruit and vegetable market in low‐income neighborhoods, on children's fruit and vegetable consumption, Rhode Island, 2010‐2011.[Erratum appears in Prev Chronic Dis. 2015;12:E188; PMID: 26542140]. Preventing Chronic Disease 2015;12:E176. CENTRAL

Gosliner 2010 {published data only}

Gosliner WA, James P, Yancey AK, Ritchie L, Studer N, Crawford PB. Impact of a worksite wellness program on the nutrition and physical activity environment of child care centers. American Journal of Health Promotion 2010;24(3):186‐9. CENTRAL

Goto 2012 {published data only}

Goto K. UP23 connecting communities and families through locally grown cultural foods for childhood obesity prevention. Journal of Nutrition Education & Behavior 2012;44:S87. CENTRAL

Gottesman 2003 {published data only}

Gottesman MM. HEAT: Healthy Eating and Activity Together. American Journal of Nursing 2007;107(2):49‐50. CENTRAL
Gottesman MM. Healthy eating and activity together (HEAT): weapons against obesity. Journal of Pediatric Health Care 2003;17(4):210‐5. CENTRAL

Graham 2008 {published data only}

Graham D, Appleton S, Rush E, McLennan S, Reed P, Simmons D. Increasing activity and improving nutrition through a schools‐based programme: Project Energize. 1. Design, programme, randomisation and evaluation methodology. Public Health Nutrition 2008;11(10):1076‐84. CENTRAL

Gratton 2007 {published data only}

Gratton L, Povey R, Clark‐Carter D. Promoting children’s fruit and vegetable consumption: interventions using the Theory of Planned Behaviour as a framework. British Journal of Health Psychology 2007;12(Pt 4):639‐50. CENTRAL

Gregori 2014 {published data only}

Gregori D, Vecchio MG, Nikolakis A, Galasso F. Even a very intense advertising promoting fruit consumption is not enough to have children eating more fruit: results from an experimental study in Italy. Obesity Facts 2014;7:176. CENTRAL

Gripshover 2013 {published data only}

Gripshover SJ, Markman EM. Teaching young children a theory of nutrition: conceptual change and the potential for increased vegetable consumption. Psychological Science 2013;24:1541‐53. CENTRAL

Gross 2012 {published data only}

Gross RS, Mendelsohn AL, Gross M, Taylor Lucas C, Fierman AH, Dreyer BP, et al. Starting Early/Empezando Temprano: randomized control trial (RCT) to test the effectiveness of an early obesity prevention program. Journal of Nutrition Education and Behavior 2012;44(4 Supplement):S82. CENTRAL
Messito MJ, Mendelsohn AL, Gross M, Diaz K, Scheinmann R, Chiasson MA, et al. Starting Early/Empezando Temprano: randomized control trial (RCT) to test the effectiveness of an early obesity prevention program. Journal of Nutrition Education and Behavior 2014;46(4 Supplement):S196. CENTRAL
Messito MJ, Mendelsohn AL, Gross M, Diaz K, Scheinmann R, Lucas CT, et al. Starting Early/Empezando Temprano: randomized control trial (RCT) to test the effectiveness of an early obesity prevention program. Journal of Nutrition Education and Behavior 2013;45(4 Supplement):S86. CENTRAL
Messito MJ, Mendelsohn AL, Lucas CT, Gross M, Gross R. Starting Early: primary care‐based obesity prevention beginning in pregnancy. Journal of Nutrition Education and Behavior 2013;45(4 Supplement):S10‐1. CENTRAL

Guenther 2014 {published data only}

Guenther DC. Nutrition education and scratch cooking changes in schools: a mixed methods study of interventions in Aurora public schools. Dissertation Abstracts International: Section B: The Sciences and Engineering2014; Vol. 74. CENTRAL

Guldan 2000 {published data only}

Guldan GS, Fan HC, Ma X, Ni ZZ, Xiang X, Tang MZ. Culturally appropriate nutrition education improves infant feeding and growth in rural Sichuan, China. The Journal of Nutrition2000; Vol. 130, issue 5:1204‐11. CENTRAL

Guo 2015 {published data only}

Guo H, Zeng X, Zhuang Q, Zheng Y, Chen S. Intervention of childhood and adolescents obesity in Shantou city. Obesity Research & Clinical Practice 2015;9(4):357‐64. CENTRAL

Haines 2016 {published data only}

Haines J, Rifas‐Shiman SL, Gross D, McDonald J, Kleinman K, Gillman MW. Randomized trial of a prevention intervention that embeds weight‐related messages within a general parenting program. Obesity 2016;24(1):191‐9. CENTRAL

Hambleton 2004 {published data only}

Hambleton H. Fit 4 Fun. Community Practitioner 2004;77(10):367‐8. CENTRAL

Hammersley 2017 {published data only}

Hammersley ML, Jones RA, Okely AD. Time2bHealthy ‐ an online childhood obesity prevention program for preschool‐aged children: a randomised controlled trial protocol. Contemporary Clinical Trials2017; Vol. 61:73‐80. CENTRAL

Hammons 2013 {published data only}

Hammons AJ, Wiley AR, Fiese BH, Teran‐Garcia M. Six‐week Latino family prevention pilot program effectively promotes healthy behaviors and reduces obesogenic behaviors. Journal of Nutrition Education & Behavior 2013;45(6):745‐50. CENTRAL

Hancocks 2011 {published data only}

Hancocks S. Suffer the little children. British Dental Journal 2011;210(8):341. CENTRAL

Hanks 2016 {published data only}

Hanks AS, Just DR, Brumberg A. Marketing vegetables in elementary school cafeterias to increase uptake. Pediatrics 2016;138(2):e20151720. CENTRAL

Hansen 2016 {published data only}

Hansen A, King M, Cabe J, Pleasant A, Lucero‐Liu A, Schultz J, et al. Using health literacy and hands‐on cooking to improve healthy nutrition behaviors. Journal of the Academy of Nutrition and Dietetics 2016;116(9):A35. CENTRAL

Hanson 2017 {published data only}

Hanson KL, Kolodinsky J, Wang W, Morgan EH, Jilcott P, Ammerman SB, et al. Adults and children in low‐income households that participate in cost‐offset community supported agriculture have high fruit and vegetable consumption. Nutrients2017; Vol. 9, issue 7:726. CENTRAL

Hardy 2010a {published data only}

Hardy LL, King L, Kelly B, Farrell L, Howlett S. Munch and Move: evaluation of a preschool healthy eating and movement skill program. International Journal of Behavioral Nutrition and Physical Activity 2010;7:80. CENTRAL

Hardy 2010b {published data only}

Hardy S, Lowe A, Unadkat A, Thurtle V. Mini‐MEND: an obesity prevention initiative in a children's centre. Community Practitioner 2010;83(6):26‐9. CENTRAL

Hare 2012 {published data only}

Hare ME, Coday M, Williams NA, Richey PA, Tylavsky FA, Bush AJ. Methods and baseline characteristics of a randomized trial treating early childhood obesity: the Positive Lifestyles for Active Youngsters (Team PLAY) trial. Contemporary Clinical Trials 2012;33(3):534‐49. CENTRAL

Haroun 2011 {published data only}

Haroun D, Wood L, Harper C, Nelson M. Nutrient‐based standards for school lunches complement food‐based standards and improve pupils' nutrient intake profile. British Journal of Nutrition 2011;106(4):472‐4. CENTRAL

Harris 2011 {published data only}

Harris JL, Schwartz MB, Ustjanauskas A, Ohri‐Vachaspati P, Brownell KD. Effects of serving high‐sugar cereals on children's breakfast‐eating behavior. Pediatrics2011; Vol. 127, issue 1:71‐6. CENTRAL

Hart 2016 {published data only}

Hart LM, Damiano SR, Paxton SJ. Confident body, confident child: a randomized controlled trial evaluation of a parenting resource for promoting healthy body image and eating patterns in 2‐ to 6‐year old children. International Journal of Eating Disorders 2016;49(5):458‐72. CENTRAL

Harvey‐Berino 2003 {published data only}

Harvey‐Berino J, Rourke J. Obesity prevention in preschool native‐American children: a pilot study using home visiting. Obesity Research 2003;11(5):606‐11. CENTRAL

Havas 1997 {published data only}

Havas S, Damron D, Treiman K, Anliker J, Langenberg P, Hammad TA, et al. The Maryland WIC 5 A Day Promotion Program Pilot Study: rationale, results, and lessons learned. Journal of Nutrition Education 1997;29(6):343‐50. CENTRAL

Havermans 2007 {published data only}

Havermans RC, Jansen A. Increasing children's liking of vegetables through flavour‐flavour learning. Appetite 2007;48(2):259‐62. CENTRAL

Heath 2010 {published data only}

Heath PM, Houston‐Price C, Kennedy OB. Can visual exposure impact on children's visual preferences for fruit and vegetables?. Proceedings of the Nutrition Society2010; Vol. 69. CENTRAL

Heim 2009 {published data only}

Heim S, Stang J, Ireland M. A garden pilot project enhances fruit and vegetable consumption among children. Journal of the American Dietetic Association 2009;109(7):1220‐6. CENTRAL

Helland 2013 {published data only}

Helland S, Bere E, Øverby N. Food for preschoolers. Annals of Nutrition and Metabolism 2013;63:621. CENTRAL

Helland 2016 {published data only}

Helland SH, Bere E, Øverby NC. Study protocol for a multi‐component kindergarten‐based intervention to promote healthy diets in toddlers: a cluster randomized trial. BMC Public Health 2016;16(1):273. CENTRAL

Helland 2017 {published data only}

Helland SH, Bere E, Bjørnarå HB, Øverby NC. Food neophobia and its association with intake of fish and other selected foods in a Norwegian sample of toddlers: a cross‐sectional study. Appetite2017; Vol. 114:110‐7. CENTRAL

Hendy 2002 {published data only}

Hendy HM. Effectiveness of trained peer models to encourage food acceptance in preschool children. Appetite 2002;39(3):217‐25. CENTRAL

Hendy 2011 {published data only}

Hendy HM, Williams KE, Camise TS. Kid's Choice Program improves weight management behaviors and weight status in school children. Appetite 2011;56(2):484‐94. CENTRAL
Hendy HM, Williams KE, Camise TS, Alderman S, Ivy J, Reed J. Overweight and average‐weight children equally responsive to "Kids Choice Program" to increase fruit and vegetable consumption. Appetite 2007;49(3):683‐6. CENTRAL

Herbold 2001 {published data only}

Herbold NH, Dennis JD. Gem no. 339. Food for thought: a nutrition monitoring project for elementary school children using the Internet. Journal of Nutrition Education 2001;33(5):299‐300. CENTRAL

Herring 2016 {published data only}

Herring D, Chang S, Bard S, Gavey E. Five years of MyPlate; looking back and what's ahead. Journal of the Academy of Nutrition and Dietetics 2016;116(7):1069‐71. CENTRAL

Hildebrand 2010 {published data only}

Hildebrand DA, Shriver LH. A quantitative and qualitative approach to understanding fruit and vegetable availability in low‐income African‐American families with children enrolled in an urban Head Start program. Journal of the American Dietetic Association 2010;110:710‐8. CENTRAL

Hoddinott 2017 {published data only}

Hoddinott J, Ahmed I, Ahmed A, Roy S. Behavior change communication activities improve infant and young child nutrition knowledge and practice of neighboring non‐participants in a cluster‐randomized trial in rural Bangladesh. Plos ONE2017; Vol. 12, issue 6:e0179866. CENTRAL

Hoffman 2011 {published data only}

Hoffman JA, Thompson DR, Franko DL, Power TJ, Leff SS, Stallings VA. Decaying behavioral effects in a randomized, multi‐year fruit and vegetable intake intervention. Preventive Medicine 2011;52(5):370‐5. CENTRAL

Hoffman 2015 {published data only}

Hoffman JA, Rosenfeld L, Schmidt N, Cohen JFW, Gorski M, Chaffee R, et al. Implementation of competitive food and beverage standards in a sample of Massachusetts schools: The NOURISH Study (Nutrition Opportunities to Understand Reforms Involving Student Health). Journal of the Academy of Nutrition and Dietetics 2015;115(8):1299‐1307.e2. CENTRAL

Hohman 2017 {published data only}

Hohman EE, Paul IM, Birch LL, Savage JS. INSIGHT responsive parenting intervention is associated with healthier patterns of dietary exposures in infants. Obesity2017; Vol. 25, issue 1:185‐91. CENTRAL
Hohman EE, Savage JS, Paul IM, Birch LL. INSIGHT study parenting intervention to prevent childhood obesity improves patterns of dietary exposures in infants. FASEB Journal. Conference: Experimental Biology2016; Vol. 30. CENTRAL

Hollar 2013 {published data only}

Hollar D, Lombardo M, Heitz C, Hollar L. HOPE2 nutrition‐focused policy/curricula improve consumption of nutritious foods and dietetic practices in elementary schools. Journal of Nutrition Education and Behavior 2013;45(4 Supplement):S63‐4. CENTRAL
Hollar D, Lombardo M, Heitz C, Hollar L. Making a significant impact on weight management among elementary‐age children: school‐based dietetic and wellness environmental policies and programs successfully promote lifestyle change. Journal of the Academy of Nutrition and Dietetics 2012;112(9):A15. CENTRAL

Holley 2015 {published data only}

Holley CE. Increasing vegetable consumption in early childhood: parents as facilitators [Thesis]. Loughborough University (UK), 2016. CENTRAL
Holley CE, Farrow C, Haycraft E. Investigating the role of parent and child characteristics in healthy eating intervention outcomes. Appetite 2016;105:291‐7. CENTRAL
Holley CE, Haycraft E, Farrow C. 'Why don't you try it again?' A comparison of parent led, home based interventions aimed at increasing children's consumption of a disliked vegetable. Appetite 2015;87:215‐22. CENTRAL

Hooft 2013 {published data only}

Hooft van Huysduynen E, Van Lee L, Geelen A, Feskens E, Van T Veer P, Van Woerkum C, et al. The effect of an individually tailored nutrition intervention for Dutch parents on dietary intake and physical activity of their children. Annals of Nutrition and Metabolism 2013;63:898. CENTRAL

Horne 2009 {published data only}

Horne PJ, Hardman CA, Lowe CF, Tapper K, Le Noury J, Patel P, et al. Increasing parental provision and children’s consumption of lunchbox fruit and vegetables in Ireland: the Food Dudes intervention. European Journal of Clinical Nutrition 2009;63(5):613‐8. CENTRAL

Horodynski 2004 {published data only}

Horodynski MAO, Hoerr S, Coleman G. Nutrition education aimed at toddlers. A pilot program for rural, low‐income families. Family and Community Health 2004;27(2):103‐13. CENTRAL

Hotz 2012a {published data only}

Hotz C, Loechl C, De Brauw A, Eozenou P, Gilligan D, Moursi M, et al. A large‐scale intervention to introduce orange sweet potato in rural Mozambique increases vitamin A intakes among children and women. British Journal of Nutrition 2012;108(1):163‐76. CENTRAL

Hotz 2012b {published data only}

Hotz C, Loechl C, Lubowa A, Tumwine J K, Ndeezi G, Nandutu Masawi A, et al. Introduction of beta‐carotene‐rich orange sweet potato in rural Uganda resulted in increased vitamin A intakes among children and women and improved vitamin A status among children. Journal of Nutrition 2012;142(10):1871‐80. CENTRAL

Howarth 2011 {published data only}

Howarth P, James K. Childhood obesity. Communicating Nursing Research 2011;44:489. CENTRAL

Hu 2010 {published data only}

Hu C, Ye D, Li Y, Huang Y, Li L, Gao Y, et al. Evaluation of a kindergarten‐based nutrition education intervention for pre‐school children in China. Public Health Nutrition 2010;13(2):253‐60. CENTRAL

Hughes 2007 {published data only}

Hughes SO, Patrick H, Power TG, Fisher JO, Anderson CB, Nicklas TA. The impact of child care providers’ feeding on children’s food consumption. Journal of Developmental and Behavioral Pediatrics 2007;28(2):100‐7. CENTRAL

Hughes 2016 {published data only}

Hughes L, Cirignano S, Fitzgerald N. Fruit and vegetable tastings in schools offer potential for increasing consumption among kindergarten through sixth grade children. Journal of the Academy of Nutrition and Dietetics 2016;116(9):A19. CENTRAL

Iaia 2017 {published data only}

Iaia M, Pasini M, Burnazzi A, Vitali P, Allara E, Farneti M. An educational intervention to promote healthy lifestyles in preschool children: a cluster‐RCT. International Journal of Obesity2017; Vol. 41, issue 4:582‐90. CENTRAL

IFIC 2002 {published data only}

International Food Information Council. Kidnetic.com: tap into the energy: healthful eating and physical activity tips for kids and parents just a click away. Food Insight 2002;1:4‐5. CENTRAL

Israelashvili 2005 {published data only}

Israelashvili M, Wegman‐Rozi O. Mentoring at‐risk preschoolers: lessons from the A.R.Y.A. project. Journal of Primary Prevention 2005;26(2):189‐201. CENTRAL

Issanchou 2017 {published data only}

Issanchou S. Determining factors and critical periods in the formation of eating habits: results from the Habeat project. Annals of Nutrition and Metabolism 2017;70(3):251‐6. CENTRAL

Izumi 2013 {published data only}

Izumi B, Hoffman J, Hallman J, Eckhardt C, Barberis D, Stott B. Harvest for Healthy KIds: what factors influence implementation of farm‐to‐preschool in head start classrooms?. Journal of Nutrition Education and Behavior 2013;45(4 Supplement):S49‐50. CENTRAL

James 1992 {published data only}

James J, Brown J, Douglas M, Cox J, Stocker S. Improving the diet of under fives in a deprived inner city practice. Health Trends 1992;24(4):160‐4. CENTRAL

Jancey 2014 {published data only}

Jancey JM, Dos Remedios Monteiro SM, Dhaliwal SS, Howat PA, Burns S, Hills AP, et al. Dietary outcomes of a community based intervention for mothers of young children: a randomised controlled trial. International Journal of Behavioral Nutrition & Physical Activity 2014;11:182‐98. CENTRAL

Janicke 2013 {published data only}

Janicke DM, Lim CS, Mathews AE, Shelnutt KP, Boggs SR, Silverstein JH, et al. The community‐based healthy‐lifestyle intervention for rural preschools (CHIRP) study: design and methods. Contemporary Clinical Trials 2013;34(2):187‐95. CENTRAL

Jansen 2010 {published data only}

Jansen E, Mulkens S, Jansen A. How to promote fruit consumption in children. Visual appeal versus restriction. Appetite 2010;54(3):599‐602. CENTRAL

Jansen 2017 {published data only}

Jansen EC, Kasper N, Lumeng JC, Brophy Herb HE, Horodynski MA, Miller AL, et al. Changes in household food insecurity are related to changes in BMI and diet quality among Michigan Head Start preschoolers in a sex‐specific manner. Social Science & Medicine2017; Vol. 181:168‐76. CENTRAL

Jayne 2009 {published data only}

Jayne CL. Elmo Eats Broccoli: a Look at the Influence of Popular Characters on Children's Food Choices [Thesis]. The University of Mississippi, 2008. CENTRAL

Johnson 1993 {published data only}

Johnson Z, Howell F, Molloy B. Community mothers' programme: randomised controlled trial of non‐professional intervention in parenting. BMJ 1993;306(6890):1449‐52. CENTRAL

Johnson 2007 {published data only}

Johnson SL, Bellows L, Beckstrom L, Anderson J. Evaluation of a social marketing campaign targeting preschool children. American Journal of Health Behavior 2007;31(1):44‐55. CENTRAL

Jordan 2010 {published data only}

Jordan AB. Children's television viewing and childhood obesity. Pediatric Annals 2010;39(9):569‐73. CENTRAL

Joseph 2015a {published data only}

Joseph S, Stevens AM, Ledoux T, O'Connor TM, O'Connor DP, Thompson D. Rationale, design, and methods for process evaluation in the Childhood Obesity Research Demonstration Project. Journal of Nutrition Education and Behavior 2015;47(6):560‐5.e1. CENTRAL

Joseph 2015b {published data only}

Joseph LS, Gorin AA, Mobley SL, Mobley AR. Impact of a short‐term nutrition education child care pilot intervention on preschool children's intention to choose healthy snacks and actual snack choices. Childhood Obesity 2015;11(5):513‐20. CENTRAL

Just 2013 {published data only}

Just D, Price J. Default options, incentives and food choices: evidence from elementary‐school children. Public Health Nutrition 2013;16(12):2281‐8. CENTRAL

Kabahenda 2011 {published data only}

Kabahenda M, Mullis RM, Erhardt JG, Northrop‐Clewes C, Nickols SY. Nutrition education to improve dietary intake and micronutrient nutriture among children in less‐resourced areas: a randomized controlled intervention in Kabarole district, Western Uganda. South African Journal of Clinical Nutrition 2011;24:83‐8. CENTRAL

Kain 2012 {published data only}

Kain J, Uauy R, Concha F, Leyton B, Bustos N, Salazar G, et al. School‐based obesity prevention interventions for Chilean children during the past decades: lessons learned. Advances in Nutrition 2012;3(4):616S‐21S. CENTRAL

Kalb 2005 {published data only}

Kalb C, Springen K. Pump up the family. Newsweek 2005;145(17):62. CENTRAL

Kang 2017 {published data only}

Kang Y, Suh Youn K, Debele L, Juon HS, Christian P. Effects of a community‐based nutrition promotion programme on child feeding and hygiene practices among caregivers in rural Eastern Ethiopia. Public Health Nutrition2017; Vol. 20, issue 8:1461‐72. CENTRAL

Kannan 2016 {published data only}

Kannan S, Ganguri HB, Qamar Z, Lakshmanan U, Wittcopp C. From carrots to peas and parsnips: programming flexibility through guided multisensory exploration in an early childhood environment. FASEB Journal. Conference: Experimental Biology2016; Vol. 30. CENTRAL

Karanja 2012 {published data only}

Karanja N, Aickin M, Lutz T, Mist S, Jobe JB, Maupome G, et al. A community‐based intervention to prevent obesity beginning at birth among American Indian children: study design and rationale for the PTOTS study. Journal of Primary Prevention 2012;33(4):161‐74. CENTRAL

Kashani 1991 {published data only}

Kashani IA, Langer RD, Criqui MH, Nader PR, Rupp J, Sallis JF, et al. Effects of parental behavior modification on children’s cardiovascular risks. Annals New York Academy of Sciences 1991;623:447‐9. CENTRAL

Kaufman‐Shriqui 2016 {published data only}

Kaufman‐Shriqui V, Fraser D, Friger M, Geva D, Bilenko N, Vardi H, et al. Effect of a school‐based intervention on nutritional knowledge and habits of low‐socioeconomic school children in Israel: a cluster‐randomized controlled trial. Nutrients 2016;8(4):234. CENTRAL

Kelder 1995 {published data only}

Kelder SH, Perry CL, Lytle LA, Klepp K‐I. Community‐wide youth nutrition education: long‐term outcomes of the Minnesota Heart Health program. Health Education Research 1995;10(2):119‐31. CENTRAL

Keller 2014 {published data only}

Keller KL. The use of repeated exposure and associative conditioning to increase vegetable acceptance in children: explaining the variability across studies. Journal of the Academy of Nutrition and Dietetics 2014;114:1169‐73. CENTRAL

Kennedy 2011 {published data only}

Kennedy BM, Harsha DW, Bookman EB, Hill YR, Rankinen T, Rodarte RQ, et al. Challenges to recruitment and retention of African Americans in the gene‐environment trial of response to dietary interventions (GET READI) for heart health. Health Education Research 2011;26(5):923‐36. CENTRAL

Kessler 2016 {published data only}

Kessler HS. Simple interventions to improve healthy eating behaviors in the school cafeteria. Nutrition Reviews 2016;74(3):198‐209. CENTRAL

Khoshnevisan 2004 {published data only}

Khoshnevisan F, Kimiagar M, Kalantaree N, Valaee N, Shaheedee N. Effect of nutrition education and diet modification in iron depleted preschool children in nurseries in Tehran: a pilot study. International Journal for Vitamin and Nutrition Research 2004;74(4):264‐8. CENTRAL

Kidala 2000 {published data only}

Kidala D, Greiner T, Gebre‐Medhin M. Five‐year follow‐up of a food‐based vitamin A intervention in Tanzania. Public Health Nutrition 2000;3(4):425‐31. CENTRAL

Kilaru 2005 {published data only}

Kilaru A, Griffiths PL, Ganapathy S, Shanti G. Community‐based nutrition education for improving infant growth in rural Karnataka. Indian Pediatrics 2005;42:425‐32. CENTRAL

Kilicarslan 2010 {published data only}

Kilicarslan Toruner E, Savaser S. A controlled evaluation of a school‐based obesity prevention in Turkish school children. Journal of School Nursing 2010;26:473‐82. CENTRAL

Kimani‐Murage 2013 {published data only}

Kimani‐Murage EW, Kyobutungi C, Ezeh AC, Wekesah F, Wanjohi M, Muriuki P, et al. Effectiveness of personalised, home‐based nutritional counselling on infant feeding practices, morbidity and nutritional outcomes among infants in Nairobi slums: study protocol for a cluster randomised controlled trial. Trials 2013;14:445. CENTRAL

Kipping 2014 {published data only}

Kipping RR, Howe LD, Jago R, Campbell R, Wells S, Chittleborough CR, et al. Effect of intervention aimed at increasing physical activity, reducing sedentary behaviour, and increasing fruit and vegetable consumption in children: Active for Life Year 5 (AFLY5) school based cluster randomised controlled trial. BMJ 2014;348(7960):12. CENTRAL

Kipping 2016 {published data only}

Kipping R, Jago R, Metcalfe C, White J, Papadaki A, Campbell R, et al. NAP SACC UK: protocol for a feasibility cluster randomised controlled trial in nurseries and at home to increase physical activity and healthy eating in children aged 2‐4 years. BMJ Open 2016;6(4):e010622. CENTRAL

Knoblock‐Hahn 2016 {published data only}

Knoblock‐Hahn A, Hand R, Medrow L. Improving food security, nutrition, and healthy family behaviors through the Registered Dietitian Parent Empowerment and Supplemental Food Pilot Program. Journal of the Academy of Nutrition and Dietetics 2016;116(9):A22. CENTRAL

Knowlden 2015 {published data only}

Knowlden A, Sharma M. A feasibility and efficacy randomized controlled trial of an online preventative program for childhood obesity: protocol for the EMPOWER Intervention. JMIR Research Protocols 2012;1(1):e5. CENTRAL
Knowlden A, Sharma M. One‐year efficacy testing of Enabling others to Prevent Pediatric Obesity Through Web‐Based Education and Reciprocal Determinism (EMPOWER) randomized control trial. Health Education & Behavior 2016;43(1):94‐106. CENTRAL
Knowlden AP. Feasibility and efficacy of the Enabling Mothers to Prevent Pediatric Obesity Through Web‐Based Education and Reciprocal Determinism (EMPOWER) randomized control trial. Dissertation Abstracts International Section A: Humanities and Social Sciences2014; Vol. 75. CENTRAL
Knowlden AP, Sharma M, Cottrell RR, Wilson BR, Johnson ML. Impact evaluation of Enabling Mothers to Prevent Pediatric Obesity through Web‐Based Education and Reciprocal Determinism (EMPOWER) randomized control trial. Health Education & Behavior 2015;42(2):171‐84. CENTRAL

Koehler 2007 {published data only}

Koehler S, Sichert‐Hellert W, Kersting M. Measuring the effects of nutritional counseling on total infant diet in a randomized controlled intervention trial. Journal of Pediatric Gastroenterology and Nutrition 2007;45:106‐13. CENTRAL

Koff 2011 {published data only}

Koff L, Mullis R. Nutrition education and technology: can delivering messages via new media technology effectively modify nutrition behaviors of preschoolers and their families?. Journal of Nutrition Education and Behavior 2011;43(4 Supplement 1):S40. CENTRAL

Ko Linda 2016 {published data only}

Ko LK, Rodriguez E, Yoon J, Ravindran R, Copeland WK. A brief community‐based nutrition education intervention combined with food baskets can increase fruit and vegetable consumption among low‐income Latinos. Journal of Nutrition Education and Behavior2016; Vol. 48, issue 9:609‐17. CENTRAL

Kolodinsky 2017 {published data only}

Kolodinsky JM, Sitaker M, Morgan EH, Connor LM, Hanson KL, Becot F, et al. Can CSA cost‐offset programs improve diet quality for limited resource families?. Choices2017; Vol. 32, issue 1:No pagination. CENTRAL

Korwanich 2008 {published data only}

Korwanich K, Sheiham A, Srisuphan W, Srisilapanan P. Promoting healthy eating in nursery schoolchildren: a quasi‐experimental intervention study. Health Education Journal 2008;67(1):16‐30. CENTRAL

Kotler 2012 {published data only}

Kotler JA, Schiffman JM, Hanson KG. The influence of media characters on children's food choices. Journal of Health Communication 2012;17(8):886‐98. CENTRAL

Kotz 2010 {published data only}

Kotz D. Can she end obesity? 5 key steps. Pursuing the first lady's goal may seem pretty straightforward. But it's not. U.S. News & World Report 2010;147:32. CENTRAL

Kral 2010 {published data only}

Kral TV, Kabay AC, Roe LS, Rolls BJ. Effects of doubling the portion size of fruit and vegetable side dishes on children's intake at a meal. Obesity (Silver Spring, Md.) 2010;18(3):521‐7. CENTRAL

Lanigan 2010 {published data only}

Lanigan J, Barber S, Singhal A. Prevention of obesity in preschool children. Proceedings of the Nutrition Society 2010;69(2):204‐10. CENTRAL

Laramy 2017 {published data only}

Laramy K. A digital approach to behavior change ‐ helping low‐income moms to shop, cook, and eat healthy on a budget. Journal of Nutrition Education and Behavior2017; Vol. 49, issue 7:S4. CENTRAL

LaRowe 2010 {published data only}

LaRowe TL, Adams AK, Jobe JB, Cronin KA, Vannatter SM, Prince RJ. Dietary intakes and physical activity among preschool‐aged children living in rural American Indian communities before a family‐based healthy lifestyle intervention. Journal of the American Dietetic Association 2010;110(7):1049‐57. CENTRAL

Larson 2011 {published data only}

Larson N, Ward DS, Neelon SB, Story M. What role can child‐care settings play in obesity prevention? A review of the evidence and call for research efforts. Journal of the American Dietetic Association 2011;111(9):1343‐62. CENTRAL

Laureati 2014 {published data only}

Laureati M, Bergamaschi V, Pagliarini E. School‐based intervention with children. Peer‐modeling, reward and repeated exposure reduce food neophobia and increase liking of fruits and vegetables. Appetite 2014;83:26‐32. CENTRAL

Leahy 2008a {published data only}

Leahy KE, Birch LL, Fisher JO, Rolls BJ. Reductions in entree energy density increase children's vegetable intake and reduce energy intake. Obesity 2008;16(7):1559‐65. CENTRAL

Leahy 2008b {published data only}

Leahy KE, Birch LL, Rolls BJ. Reducing the energy density of an entree decreases children's energy intake at lunch. Journal of the American Dietetic Association 2008;108(1):41‐8. CENTRAL

Leahy 2008c {published data only}

Leahy KE, Birch LL, Rolls BJ. Reducing the energy density of multiple meals decreases the energy intake of preschool‐age children. American Journal of Clinical Nutrition 2008;88(6):1459‐68. CENTRAL

Ledoux 2017 {published data only}

Ledoux T, Silveira S, Le J, Kamal H, Kung S. Investigating the preliminary effects of little foodies: a health promotion program for parents of toddlers. Journal of Nutrition Education and Behavior2017; Vol. 49, issue 7:S3. CENTRAL

Leme 2015 {published data only}

Leme AC, Philippi ST. The "Healthy Habits, Healthy Girls" randomized controlled trial for girls: study design, protocol, and baseline results. Cadernos de Saude Publica 2015;31(7):1381‐94. CENTRAL

Lin 2017 {published data only}

Lin S, Gray V, Singh‐Carlson S, Cheffer N, Chery S. Community‐based study of food, feeding, and opportunity in rural Haiti. Journal of the Academy of Nutrition and Dietetics2017; Vol. 117, issue 9:A20. CENTRAL

Ling 2016a {published data only}

Ling J, Robbins LB, Wen F. Interventions to prevent and manage overweight or obesity in preschool children: a systematic review. International Journal of Nursing Studies 2016;53:270‐89. CENTRAL

Ling 2016b {published data only}

Ling J, Robbins LB, Hines‐Martin V. Perceived parental barriers to and strategies for supporting physical activity and healthy eating among head start children. Journal of Community Health 2016;41(3):593‐602. CENTRAL

Lioret 2012 {published data only}

Lioret S, Campbell KJ, Crawford D, Spence AC, Hesketh K, McNaughton SA. A parent focused child obesity prevention intervention improves some mother obesity risk behaviors: the Melbourne inFANT program. International Journal of Behavioral Nutrition and Physical Activity 2012;9:100. CENTRAL

Lioret 2015 {published data only}

Lioret S, Cameron AJ, McNaughton SA, Crawford D, Spence AC, Hesketh K, et al. Association between maternal education and diet of children at 9 months is partially explained by mothers' diet. Maternal & Child Nutrition 2015;11(4):936‐47. CENTRAL

Llargues 2011 {published data only}

Llargues E, Franco R, Recasens A, Nadal A, Vila M, Perez M J, et al. Assessment of a school‐based intervention in eating habits and physical activity in school children: the AVall study. Journal of Epidemiology & Community Health 2011;65(10):896‐901. CENTRAL
Llargues E, Recasens A, Franco R, Nadal A, Vila M, Perez M J, et al. Medium‐term evaluation of an educational intervention on dietary and physical exercise habits in schoolchildren: the Avall 2 study. Endocrinologia y Nutricion 2012;59:288‐95. CENTRAL

Lloyd 2011 {published data only}

Lloyd AB, Morgan PJ, Lubans DR, Plotnikoff RC. Investigating the measurement and operationalisation of obesity‐related parenting variables of overweight fathers in the Healthy Dads, Healthy Kids community program. Obesity Research and Clinical Practice 2011;5:S72. CENTRAL

Locard 1987 {published data only}

Locard E, Boyer M, Beroujon M. Evaluation of an educational campaign on nutrition among five years old children. Archives Francaises de Pediatrie 1987;44:205‐9. CENTRAL

Lohse 2017 {published data only}

Lohse B. Nutrition education does not stop at the borders. Journal of Nutrition Education and Behavior2017; Vol. 49, issue 3:185. CENTRAL

Longacre 2015 {published data only}

Longacre MR, Roback J, Langeloh G, Drake K, Dalton MA. An entertainment‐based approach to promote fruits and vegetables to young children. Journal of Nutrition Education and Behavior 2015;47(5):480‐3.e1. CENTRAL

Longley 2013 {published data only}

Longley C. LANA Learning about Nutrition through Activities Deluxe Kit. Journal of Nutrition Education and Behavior 2013;45(6):807.e5. CENTRAL

Low 2007 {published data only}

Low JW, Arimond M, Osman N, Cunguara B, Zano F, Tschirley D. Ensuring the supply of and creating demand for a biofortified crop with a visible trait: lessons learned from the introduction of orange‐fleshed sweet potato in drought‐prone areas of Mozambique. Food and Nutrition Bulletin 2007;28(2):S258‐S270. CENTRAL

Luepker 1996 {published data only}

Luepker RV, Perry CL, McKinlay SM, Nader PR, Parcel GS, Stone EJ, et al. Outcomes of a field trial to improve children's dietary patterns and physical activity. JAMA 1996;275(10):768‐76. CENTRAL
Perry CL, Lytle LA, Feldman H, Nicklas T, Stone E, Zive M, et al. Effects of the child and adolescent trial for cardiovascular health (CATCH) on fruit and vegetable intake. Journal of Nutrition Education 1998;30:354‐60. CENTRAL

Lumeng 2012 {published data only}

Lumeng JC, Miller A, Brophy‐Herb H, Horodynski M, Contreras D, Davis R, et al. Enhancing self‐regulation as a strategy for obesity prevention in head start preschoolers. Journal of Nutrition Education and Behavior 2012;44(4 Supplement):S89. CENTRAL
Lumeng JC, Miller A, Brophy‐Herb H, Horodynski MA, Contreras D, Davis R, et al. Enhancing self regulation as a strategy for obesity prevention in head start preschooler. Journal of Nutrition Education and Behavior 2013;45(4 Supplement):S86. CENTRAL
Lumeng JC, Miller A, Brophy‐Herb H, Horodynski MA, Contreras D, Peterson KE. Enhancing self‐regulation as a strategy for obesity prevention in head start preschoolers. Journal of Nutrition Education and Behavior 2014;46(4, Supplement):S195. CENTRAL

Maier 2007 {published data only}

Maier A, Chabanet C, Schaal B, Issanchou S, Leathwood P. Effects of repeated exposure on acceptance of initially disliked vegetables in 7‐month old infants. Food Quality and Preference 2007;18:1023‐32. CENTRAL

Maier 2008 {published data only}

Maier AS, Chabanet C, Schaal B, Leathwood PD, Issanchou SN. Breastfeeding and experience with variety early in weaning increase infants' acceptance of new foods for up to two months. Clinical Nutrition 2008;27(6):849‐57. CENTRAL

Maier‐Noth 2016 {published data only}

Maier‐Noth A, Schaal B, Leathwood P, Issanchou S. The lasting influences of early food‐related variety experience: a longitudinal study of vegetable acceptance from 5 months to 6 years in two populations. PLoS ONE 2016;11(3):e0151356. CENTRAL

Maier‐Noth 2017 {published data only}

Maier‐Noth A. Nutrition gourmet or soup kasper? What factors affect the dietary behavior in children, and can we steer it in a positive direction early on?. Padiatrie Und Padologie 2017;52(6):280‐2. CENTRAL

Malekafzali 2000 {published data only}

Malekafzali H, Abdollahi Z, Mafi A, Naghavi M. Community‐based nutritional intervention for reducing malnutrition among children under 5 years of age in the Islamic Republic of Iran. Eastern Mediterranean Health Journal 2000;6(2/3):238‐45. CENTRAL

Mallan 2017 {published data only}

Mallan KM, Daniels LA, Nicholson JM. Obesogenic eating behaviors mediate the relationships between psychological problems and BMI in children. Obesity2017; Vol. 25, issue 5:928‐34. CENTRAL

Manger 2012 {published data only}

Manger WM, Manger LS, Minno AM, Killmeyer M, Holzman RS, Schullinger JN, et al. Obesity prevention in young schoolchildren: results of a pilot study. Journal of School Health 2012;82(10):462‐8. CENTRAL

Manios 1999 {published data only}

Manios Y, Moschandreas J, Hatzis C, Kafatos A. Evaluation of a health and nutrition education program in primary school children of Crete over a three‐year period. Preventive Medicine 1999;28(2):149‐59. CENTRAL

Manios 2009 {published data only}

Manios Y, Kourlaba G, Kondaki K, Grammatikaki E, Birbilis M, Oikonomou E, et al. Diet quality of preschoolers in Greece based on the healthy eating index: the GENESIS study. Journal of the American Dietetic Association 2009;109(4):616‐23. CENTRAL

Mann 2015 {published data only}

Mann CM, Ward DS, Vaughn A, Benjamin Neelon SE, Long Vidal LJ, Omar S, et al. Application of the Intervention Mapping protocol to develop Keys, a family child care home intervention to prevent early childhood obesity. BMC Public Health2015; Vol. 15:1227. CENTRAL

Mann 2017 {published data only}

Mann G. Let's make Spring & Summer healthy!. Journal of Nutrition Education and Behavior2017; Vol. 49, issue 6:529. CENTRAL

Markert 2014 {published data only}

Markert J, Herget S, Petroff D, Gausche R, Grimm A, Kiess W, et al. Telephone‐based adiposity prevention for families with overweight children (T.A.F.F.‐Study): one year outcome of a randomized, controlled trial. International Journal of Environmental Research and Public Health 2014;11(10):10327‐44. CENTRAL

Marquard 2011 {published data only}

Marquard J, Stahl A, Lerch C, Wolters M, Grotzke‐Leweling M, Mayatepek E, et al. A prospective clinical pilot‐trial comparing the effect of an optimized mixed diet versus a flexible low‐glycemic index diet on nutrient intake and HbA(1c) levels in children with type 1 diabetes. Journal of Pediatric Endocrinology & Metabolism2011; Vol. 24, issue 7‐8:441‐7. CENTRAL

Martens 2008 {published data only}

Martens MK, Van Assema P, Paulussen TGWM, Van Breukelen G, Brug J. Krachtvoer‐: effect evaluation of a Dutch healthful diet promotion curriculum for lower vocational schools. Public Health Nutrition 2008;11(3):271‐8. CENTRAL

Mathias 2012 {published data only}

Mathias KC, Rolls BJ, Birch LL, Kral TV, Hanna EL, Davey A, et al. Serving larger portions of fruits and vegetables together at dinner promotes intake of both foods among young children. Journal of the Acadamy of Nutrition and Dietetics 2012;112(2):266‐70. CENTRAL
Mathias KC, Rolls BJ, Birch LL, Kral TVE, Fisher JO. Does serving children larger portions of fruit affect vegetable intake?. Obesity (Silver Spring, Md.) 2009;17:S90. CENTRAL

Mbogori 2016 {published data only}

Mbogori T, Murimi M. Effects of a nutrition education intervention on maternal nutrition knowledge, child care practices and nutrition status. Journal of Nutrition Education and Behavior 2016;48(7):S3. CENTRAL

McGowan 2013 {published data only}

Gardner B, Sheals K, Wardle J, McGowan L. Putting habit into practice, and practice into habit: a process evaluation and exploration of the acceptability of a habit‐based dietary behaviour change intervention. International Journal of Behavioral Nutrition and Physical Activity 2014;11:135. CENTRAL
McGowan L, Cooke LJ, Gardner B, Beeken RJ, Croker H, Wardle J. Healthy feeding habits: efficacy results from a cluster‐randomized, controlled exploratory trial of a novel, habit‐based intervention with parents. American Journal of Clinical Nutrition 2013;98(3):769‐77. CENTRAL

McKenzie 1996 {published data only}

Dixon LB, McKenzie J, Shannon BM, Mitchell DC, Smiciklas‐Wright H, Tershakovec AM. The effect of changes in dietary fat on the food group and nutrient intake of 4‐ to 10‐year‐old children. Pediatrics 1997;100(5):863‐72. CENTRAL
Dixon LB, Tershakovec AM, McKenzie J, Shannon B. Diet quality of young children who received nutrition education promoting lower dietary fat. Public Health Nutrition 2000;3(4):411‐6. CENTRAL
McKenzie J, Dixon LB, Smiciklas‐Wright H, Mitchell D, Shannon B, Tershakovec A. Change in nutrient intakes, number of servings, and contributions of total fat from food groups in 4‐ to 10‐year‐old children enrolled in a nutrition education study. Journal of the American Dietetic Association 1996;96(9):865‐72. CENTRAL

McSweeney 2017 {published data only}

McSweeney L, Araujo‐Soares V, Rapley T, Adamson A. A feasibility study with process evaluation of a preschool intervention to improve child and family lifestyle behaviours. BMC Public Health2017; Vol. 17, issue 1:248. CENTRAL

Mehta 2014 {published data only}

Mehta M, Ashburn L, Mehta M, Sankavaram K. Family‐based behavioral nutrition intervention improves nutrition knowledge, food choices, and BMI in Latino children. Journal of Nutrition Education and Behavior 2014;46(4 Supplement):S136. CENTRAL

Meinen 2012 {published data only}

Meinen A, Friese B, Wright W, Carrel A. Youth gardens increase healthy behaviors in young children. Journal of Hunger and Environmental Nutrition 2012;7:192‐204. CENTRAL

Mennella 2017a {published data only}

Mennella JA, Daniels LM, Reiter AR. Learning to like vegetables during breastfeeding: a randomized clinical trial of lactating mothers and infants. The American Journal of Clinical Nutrition 2017;106(1):67‐76. CENTRAL

Metcalfe 2016 {published data only}

Metcalfe JJ, McCaffrey J. Pre‐testing and refinement of an after school cooking program for children: a pilot study of the Kids in the Kitchen Program. Journal of Nutrition Education and Behavior 2016;48(7):S11. CENTRAL

Metcalfe 2017 {published data only}

Metcalfe JJ, Fiese B, Liu R, Emberton, E, McCaffrey J. When kids learn to cook: findings from the Illinois Junior Chefs Effectiveness Trial. Journal of Nutrition Education and Behavior2017; Vol. 49, issue 7:S3‐4. CENTRAL

Mok 2017 {published data only}

Mok E, Vanstone CA, Gallo S, Li P, Constantin E, Weiler HA. Diet diversity, growth and adiposity in healthy breastfed infants fed homemade complementary foods. International Journal of Obesity2017; Vol. 41, issue 5:776‐82. CENTRAL

Molitor 2016 {published data only}

Molitor F, Sugerman SB, Sciortino S. Fruit and vegetable, fat, and sugar‐sweetened beverage intake among low‐income mothers living in neighborhoods with Supplemental Nutrition Assistance Program. Journal of Nutrition Education and Behavior 2016;48(10):683‐90. CENTRAL

Monterrosa 2013 {published data only}

Monterrosa EC, Frongillo EA, Gonzalez de Cossio T, Bonvecchio A, Villanueva MA, Thrasher JF, et al. Scripted messages delivered by nurses and radio changed beliefs, attitudes, intentions, and behaviors regarding infant and young child feeding in Mexico. Journal of Nutrition 2013;143:915‐22. CENTRAL

Morgan 2016 {published data only}

Morgan R, Edwards Hall LA. Long‐term impact of nutrition education on dietary patterns. Journal of the Academy of Nutrition and Dietetics 2016;116(9):A55. CENTRAL

Morgan 2017 {published data only}

Morgan PJ, Young MD. The influence of fathers on children's physical activity and dietary behaviors: insights, recommendations and future directions. Current Obesity Reports 2017;6(3):324‐33. CENTRAL

Morrill 2016 {published data only}

Jones Brooke A. Incentivizing children's fruit and vegetable consumption: evaluation and modification of the food dudes program for sustainable use in U.S. elementary schools. Dissertation Abstracts International Section A: Humanities and Social Sciences2016; Vol. 76, issue 7‐A(E). CENTRAL
Morrill BA, Madden GJ, Wengreen HJ, Fargo JD, Aguilar SS. A randomized controlled trial of the Food Dudes program: tangible rewards are more effective than social rewards for increasing short‐ and long‐term fruit and vegetable consumption. Journal of the Academy of Nutrition & Dietetics 2016;116(4):618‐29. CENTRAL

Murimi 2017 {published data only}

Murimi M, Moyeda Carabaza AF. Effective nutrition interventions for sustainable maternal and child health: lessons from the countries that achieved their MDG 4 and 5 targets. Journal of Nutrition Education and Behavior2017; Vol. 49, issue 7:S20. CENTRAL

Nabors 2015 {published data only}

Nabors L, Burbage M, Woodson KD, Swoboda C. Implementation of an after‐school obesity prevention program: helping young children toward improved health. Issues in Comprehensive Pediatric Nursing 2015;38(1):22‐38. CENTRAL

Nansel 2016 {published data only}

Nansel TR, Lipsky LM, Eisenberg MH, Liu A, Mehta SN, Laffel LM. Can families eat better without spending more? Improving diet quality does not increase diet cost in a randomized clinical trial among youth with type 1 diabetes and their parents. Journal of the Academy of Nutrition and Dietetics2016; Vol. 116, issue 11:1751‐9. CENTRAL

NAPNAP 2006 {published data only}

National Association of Pediatric Nurse Practitioners. Healthy Eating and Activity Together (HEAT) Clinical Practice Guideline: identifying and preventing overweight in childhood. Journal of Pediatric Health Care 2006;20(2):1‐64. CENTRAL

Natale 2014 {published data only}

Natale R, Messiah S, Asfor L, Uhlhorn S, Arheart K, Delamater A. Healthy Caregivers‐Healthy Children (HC2): a childcare center based obesity prevention. Journal of Nutrition Education and Behavior 2013;45(4 Supplement):S86‐7. CENTRAL
Natale R, Messiah S, Lopez‐Mitnik G, Uhlhorn S, Scott S, Delamater A. Healthy Caregivers–Healthy Children (HC2): a childcare center–based obesity prevention program. Journal of Nutrition Education and Behavior 2012;44(4 Supplement):S82. CENTRAL
Natale R, Scott SH, Messiah SE, Schrack MM, Uhlhorn SB, Delamater A. Design and methods for evaluating an early childhood obesity prevention program in the childcare center setting. BMC Public Health 2013;13:78. CENTRAL
Natale RA, Messiah SE, Asfour L, Uhlhorn SB, Delamater A, Arheart KL. Role modeling as an early childhood obesity prevention strategy: effect of parents and teachers on preschool children's healthy lifestyle habits. Journal of Developmental and Behavioral Pediatrics 2014;35(6):378‐87. CENTRAL
Natale RA, Messiah SE, Asfour LS, Uhlhorn SB, Englebert NE, Arheart KL. Obesity prevention program in childcare centers: two‐year follow‐up. American Journal of Health Promotion2016; Vol. 13:13. CENTRAL

Nederkoorn 2018 {published data only}

Nederkoorn C, Theibetaen J, Tummers M, Roefs A. Taste the feeling or feel the tasting: tactile exposure to food texture promotes food acceptance. Appetite 2018;120:297‐301. CENTRAL

Nemet 2007 {published data only}

Nemet D, Perez S, Reges O, Eliakim A. Physical activity and nutrition knowledge and preferences in kindergarten children. International Journal of Sports Medicine 2007;28(10):887‐90. CENTRAL

Nemet 2008 {published data only}

Nemet D, Barzilay‐Teeni N, Eliakim A. Treatment of childhood obesity in obese families. Journal of Pediatric Endocrinology & Metabolism 2008;21(5):461‐7. CENTRAL

Nemet 2011 {published data only}

Nemet D, Geva D, Eliakim A. Health promotion intervention in low socioeconomic kindergarten children. Journal of Pediatrics 2011;158(5):796‐801. CENTRAL

Nerud 2017 {published data only}

Nerud K, Samra HA. Make a move. Intervention to reduce childhood obesity. Journal of School Nursing2017; Vol. 33, issue 3:205‐13. CENTRAL

Nicklas 2011 {published data only}

Nicklas TA, Goh ET, Goodell LS, Acuff DS, Reiher R, Buday R, et al. Impact of commercials on food preferences of low‐income minority preschoolers. Journal of Nutrition Education and Behavior2011; Vol. 43, issue 1:35‐41. CENTRAL

Noller 2006 {published data only}

Noller B, Winkler G, Rummel C. BeKi ‐ an initiative for nutrition education in children: program description and evaluation. Gesundheitswesen 2006;68(3):165‐70. CENTRAL
Winkler G, Noller B, Waibel S, Wiest M. BeKi ‐ an initiative for nutrition education in children in the federal state of Baden‐Wurttemberg: description, experiences, and considerations for an evaluation framework. Praventivmed 2005;50(3):151‐60. CENTRAL

Novotny 2011 {published data only}

Novotny R, Vijayadeva V, Ramirez V, Lee SK, Davison N, Gittelsohn J. Development and implementation of a food system intervention to prevent childhood obesity in rural Hawai'i. Hawaii Medical Journal 2011;70(7 Suppl 1):42‐6. CENTRAL

Nunes 2017 {published data only}

Nunes LM, Vigo A, Oliveira LD, Giugliani ERJ. Effect of a healthy eating intervention on compliance with dietary recommendations in the first year of life: a randomized clinical trial with adolescent mothers and maternal grandmothers. Journal of School Nursing2017; Vol. 33, issue 6:e00205615. CENTRAL
Soldateli B, Vigo A, Giugliani ER. Adherence to dietary recommendations for preschoolers: clinical trial with teenage mothers. Revista de Saude Publica2016; Vol. 50:83. CENTRAL

Nystrom 2017 {published data only}

Nystrom CD, Sandin S, Henriksson P, Henriksson H, Trolle‐Lagerros Y, Larsson C, et al. Mobile‐based intervention intended to stop obesity in preschool‐aged children: the MINISTOP randomized controlled trial. American Journal of Clinical Nutrition2017; Vol. 105, issue 6:1327‐35. CENTRAL

O'Connor 2010 {published data only}

O'Connor TM, Hughes SO, Watson KB, Baranowski T, Nicklas TA, Fisher JO, et al. Parenting practices are associated with fruit and vegetable consumption in pre‐school children. Public Health Nutrition 2010;13(1):91‐101. CENTRAL

O'Sullivan 2017 {published data only}

O'Sullivan A, Fitzpatrick N, Doyle O. Effects of early intervention on dietary intake and its mediating role on cognitive functioning: a randomised controlled trial. Public Health Nutrition2017; Vol. 20, issue 1:154‐64. CENTRAL

Ogle 2016 {published data only}

Ogle AD, Graham DJ, Lucas‐Thompson RG, Christina RA. Influence of cartoon media characters on children's attention to and preference for food and beverage products. Journal of the Academy of Nutrition and Dietetics2016; Vol. 117, issue 2:265‐70. CENTRAL

Olvera 2010 {published data only}

Olvera N, Bush JA, Sharma SV, Knox BB, Scherer RL, Butte NF. BOUNCE: a community‐based mother‐daughter healthy lifestyle intervention for low‐income Latino families. Obesity 2010;18(1):S102‐S104. CENTRAL

Onnerfält 2012 {published data only}

Onnerfält J, Erlandsson LK, Orban K, Broberg M, Helgason C, Thorngren‐Jerneck K. A family‐based intervention targeting parents of preschool children with overweight and obesity: conceptual framework and study design of LOOPS‐ Lund overweight and obesity preschool study. BMC Public Health 2012;12:879. CENTRAL

Paineau 2010 {published data only}

Paineau D, Beaufils F, Boulier A, Cassuto DA, Chwalow J, Combris P, et al. The cumulative effect of small dietary changes may significantly improve nutritional intakes in free‐living children and adults. European Journal of Clinical Nutrition 2010;64(8):782‐91. CENTRAL

Panunzio 2007 {published data only}

Panunzio MF, Antoniciello A, Pisano A, Dalton S. Nutrition education intervention by teachers may promote fruit and vegetable consumption in Italian students. Nutrition Research 2007;27:524‐8. CENTRAL

Parcel 1989 {published data only}

Parcel GS, Simons‐Morton B, O’Hara NM, Baranowski T, Wilson B. School promotion of healthful diet and physical activity: impact on learning outcomes and self reported behavior. Health Education & Behavior 1989;16(1):191‐9. CENTRAL
Simons‐Morton BG, Parcel GS, O’Hara NM. Implementing organizational changes to promote healthful diet and physical activity at school. Health Education & Behavior 1988;15(1):115‐30. CENTRAL

Passehl 2004 {published data only}

Passehl B, McCarroll C, Buechner J, Gearring C, Smith AE, Trowbridge F. Preventing childhood obesity: establishing healthy lifestyle habits in the preschool years. Journal of Pediatric Health Care 2004;18(6):315‐9. CENTRAL

Peracchio 2016 {published data only}

Peracchio H, Jaronko S, Argondezzi T, Latham K, Viteretto C. Growing Gardens, Growing Health Program: a novel approach to nutrition education in a garden setting. Journal of the Academy of Nutrition and Dietetics 2016;116(9):A65. CENTRAL

Perry 1985 {published data only}

Perry CL, Mullis RM, Maile MC. Modifying the eating behaviour of young children. Journal of School Health 1985;55(10):399‐402. CENTRAL

Persson 2018 {published data only}

Persson JE, Bohman B, Tynelius P, Rasmussen F, Ghaderi A. Prevention of childhood obesity in child health services: follow‐up of the PRIMROSE trial. Childhood Obesity 2018;14(2):7. CENTRAL

Peters 2012a {published data only}

Peters P, Mobley AR, Procter S, Contreras D, Gold AL, Bruns K, et al. Mobilizing rural low‐income communities to assess and improve the ecological environment to prevent childhood obesity. Journal of Nutrition Education and Behavior 2012;44(4 Supplement):S86. CENTRAL

Poelman 2016a {published data only}

Poelman A. Understanding and changing children's sensory acceptance for vegetables [PhD Dissertation]. Wageningen: Wageningen University, 2016. CENTRAL

Poelman 2016b {published data only}

Poelman AAM, Delahunty CM, Cochet‐Broch M, Zwinkels M, De Graaf CZ. The effect of multiple target versus single target vegetable exposure to increase vegetable intake in children. Appetite2016; Vol. 101, issue 223:no pagination. CENTRAL

Polacsek 2017 {published data only}

Polacsek M, Moran A, Thorndike AN, Boulos R, Franckle RL, Greene JC, et al. A supermarket double‐dollar incentive program increases purchases of fresh fruits and vegetables among low‐income families with children: the Healthy Double Study. Journal of Nutrition Education and Behavior 2017;7:7. CENTRAL

Prelip 2011 {published data only}

Prelip M, Slusser W, Thai CL, Kinsler J, Erausquin JT. Effects of a school‐based nutrition program diffused throughout a large urban community on attitudes, beliefs, and behaviors related to fruit and vegetable consumption. Journal of School Health 2011;81(9):520‐9. CENTRAL

Presti 2015 {published data only}

Presti G, Cau S, Oppo A, Moderato P. Increased classroom consumption of home‐provided fruits and vegetables for normal and overweight children: results of the Food Dudes program in Italy. Journal of Nutrition Education & Behavior 2015;47(4):338‐344 7p. CENTRAL

Prosper 2009 {published data only}

Prosper M, Moczulski VL, Qureshi A, Weiss M, Bryars T. Healthy for Life/PE4ME: assessing an intervention targeting childhood obesity. Californian Journal of Health Promotion 2009;7:1‐10. CENTRAL

Puia 2017 {published data only}

Puia A, Leucuta DC. Children's lifestyle behaviors in relation to anthropometric indices: a family practice study. Clujul Medical 2017;90(4):385‐91. CENTRAL

Quandt 2013 {published data only}

Quandt SA, Dupuis J, Fish C, D'Agostino RB. Feasibility of using a community‐supported agriculture program to improve fruit and vegetable inventories and consumption in an underresourced urban community. Preventing Chronic Disease 2013;10:E136. CENTRAL

Quizan‐Plata 2012 {published data only}

Quizan‐Plata T, Villarreal Meneses L, Esparza Romero J, Anaya Barragan C, Galaviz Moreno S, Orozco Garcia ME, et al. Intervention to promote physical activity and dietary lifestyle changes in students attending public primary schools of Sonora Mexico. FASEB Journal2012; Vol. 26. CENTRAL
Quizan‐Plata T, Villarreal Meneses L, Esparza Romero J, Bolanos Villar AV, Diaz Zavala RG. Educational program had a positive effect on the intake of fat, fruits and vegetables and physical activity in students attending public elementary schools of Mexico. Nutricion Hospitalaria 2014;30(3):552‐61. CENTRAL

Rackliffe 2016 {published data only}

Rackliffe LJ. Kid approved healthy snacks. Journal of Nutrition Education and Behavior2016; Vol. 49, issue 3:268. CENTRAL

Rahman 1994 {published data only}

Rahman MM, Islam MA, Mahalanabis D, Chowdhury S, Biswas E. Impact of health education on the feeding of green leafy vegetables at home to children of the urban poor mothers of Bangladesh. Public Health 1994;108(3):211‐8. CENTRAL

Ransley 2007 {published data only}

Ransley JK, Greenwood DC, Cade JE, Blenkinsop S, Schagen I, Teeman D, et al. Does the school fruit and vegetable scheme improve children's diet? A non‐randomised controlled trial. Journal of Epidemiology and Community Health 2007;61:699‐703. CENTRAL

Raynor 2012 {published data only}

Raynor HA, Osterholt KM, Hart CN, Jelalian E, Vivier P, Wing RR. Efficacy of U.S. paediatric obesity primary care guidelines: two randomized trials. Pediatric Obesity 2012;7(1):28‐38. CENTRAL

Reicks 2012 {published data only}

Reicks M, Vickers Z, Mykerezi E, Mann T, Redden J. Using in‐home behavioral economic strategies and enhanced food preparation skills to increase vegetable intake and variety among children. Journal of Nutrition Education and Behavior 2012;44(4 Supplement):S90. CENTRAL

Reifsnider 2012 {published data only}

Reifsnider EA, Militello L. Reducing childhood obesity among WIC recipients. Communicating Nursing Research 2012;45:442. CENTRAL

Reinaerts 2007 {published data only}

Reinaerts E, Crutzen R, Candel M, De Vries NK, De Nooijer J. Increasing fruit and vegetable intake among children: comparing long‐term effects of a free distribution and multicomponent program. Health Education Research 2008;23(3):987‐96. CENTRAL
Reinaerts E, De Nooijer J, Candel M, De Vries N. Increasing children's fruit and vegetable consumption: distribution or a multicomponent programme?. Public Health Nutrition 2007;10(9):939‐47. CENTRAL

Reinbott 2016 {published data only}

Reinbott A, Schelling A, Kuchenbecker J, Jeremias T, Russell I, Kevanna O, et al. Nutrition education linked to agricultural interventions improved child dietary diversity in rural Cambodia. British Journal of Nutrition2016; Vol. 116, issue 8:1457‐68. CENTRAL

Reinehr 2011 {published data only}

Reinehr T, Schaefer A, Winkel K, Finne E, Kolip P. Development and evaluation of the lifestyle intervention "obeldicks light" for overweight children and adolescents. Journal of Public Health 2011;19:377‐84. CENTRAL

Reverdy 2008 {published data only}

Reverdy C, Chesnel F, Schlich P, Koster EP, Lange C. Effect of sensory education on willingness to taste novel food in children. Appetite 2008;51(1):156‐65. CENTRAL

Reynolds 1998 {published data only}

Reynolds KD, Raczynski JM, Binkley D, Franklin FA, Duvall RC, Devane‐Hart K, et al. Design of 'High 5': a school‐based study to promote fruit and vegetable consumption for reduction of cancer risk. Journal of Cancer Education 1998;13(3):169‐77. CENTRAL

Reznar 2013 {published data only}

Reznar MM. Application of behavior change and persuasion theories to a multi‐media intervention designed to improve the home food environment and diet quality of resource‐limited parents with young children. Dissertation Abstracts International: Section B: The Sciences and Engineering2013; Vol. 74. CENTRAL

Ribeiro 2014 {published data only}

Ribeiro RQ, Alves L. Comparison of two school‐based programmes for health behaviour change: the Belo Horizonte Heart Study randomized trial. Public Health Nutrition 2014;17:1195‐204. CENTRAL

Rioux 2018 {published data only}

Rioux C, Lafraire J, Picard D. Visual exposure and categorization performance positively influence 3‐to 6‐year‐old children's willingness to taste unfamiliar vegetables. Appetite 2018;120:32‐42. CENTRAL

Ritchie 2010 {published data only}

Ritchie LD, Sharma S, Ikeda JP, Mitchell RA, Raman A, Green BS, et al. Taking Action Together: a YMCA‐based protocol to prevent type‐2 diabetes in high‐BMI inner‐city African American children. Trials 2010;11:60. CENTRAL

Rito 2013 {published data only}

Rito AI, Carvalho MA, Ramos C, Breda J. Program Obesity Zero (POZ) ‐ a community‐based intervention to address overweight primary‐school children from five Portuguese municipalities. Public Health Nutrition 2013;16(6):1043‐51. CENTRAL

Robertson 2013 {published data only}

Robertson PB. MEND: A family‐based community intervention for childhood obesity and its effectiveness. Dissertation Abstracts International: Section B: The Sciences and Engineering2013; Vol. 73. CENTRAL

Roche 2016 {published data only}

Roche ML, Marquis GS, Gyorkos TW, Blouin, B, Sarsoza J, Kuhnlein HV. A community‐based infant and young child nutrition intervention in Ecuador improved diet and reduced underweight. Journal of Nutrition Education and Behavior2016; Vol. 49, issue 3:196‐203. CENTRAL

Rogers 2013 {published data only}

Rogers VW, Hart PH, Motyka E, Rines EN, Vine J, Deatrick DA. Impact of Let's Go! 5‐2‐1‐0: a community‐based, multisetting childhood obesity prevention program. Journal of Pediatric Psychology 2013;38:1010‐20. CENTRAL

Rohde 2017 {published data only}

Rohde JF, Larsen SC, Angquist L, Olsen NJ, Stougaard M, Mortensen EL, et al. Effects of the Healthy Start randomized intervention on dietary intake among obesity‐prone normal‐weight children. Public Health Nutrition2017; Vol. 20, issue 16:1‐10. CENTRAL

Rohlfs 2013 {published data only}

Rohlfs DP, Gámiz F, Gil M, Moreno H, Márquez Zamora R, Gallo M, et al. Providing choice increases children’s vegetable intake. Food Quality and Preference 2013;30:108‐13. CENTRAL

Romo‐Palafox 2017 {published data only}

Romo‐Palafox MJ, Ranjit N, Sweitzer SJ, Roberts‐Gray C, Byrd‐Williams CE, Briley ME, et al. Adequacy of parent‐packed lunches and preschooler's consumption compared to dietary reference intake recommendations. Journal of the American College of Nutrition2017; Vol. 36, issue 3:169‐76. CENTRAL

Rubenstein 2010 {published data only}

Rubenstein Cynthia. Assessing and Improving Child Feeding Practices through "Take Charge of Your Family's Health" [DPhil thesis]. Villanova University, 2010. CENTRAL

Ruottinen 2008 {published data only}

Lagstrom H, Seppanen R, Jokinen E, Ronnemaa T, Salminen M, Tuominen J, et al. Nutrient intakes and cholesterol values of the parents in a prospective randomized child‐targeted coronary heart disease risk factor intervention trial‐‐the STRIP project. European Journal of Clinical Nutrition 1999;53(8):654‐61. CENTRAL
Ruottinen S, Niinikoski H, Lagström H, Rönnemaa T, Hakanen M, Viikari J, et al. High sucrose intake is associated with poor quality of diet and growth between 13 months and 9 years of age: The Special Turku Coronary Risk Factor Intervention Project. Pediatrics 2008;121(6):e1676‐e1685. CENTRAL
Talvia S, Räsänen L, Lagström H, Pahkala K, Viikari J, Rönnemaa T, et al. Longitudinal trends in consumption of vegetables and fruit in Finnish children in an atherosclerosis prevention study (STRIP). European Journal of Clinical Nutrition 2006;60(2):172‐80. CENTRAL

Salminen 2005 {published data only}

Salminen M, Vahlberg T, Ojanlatva A, Kivela SL. Effects of a controlled family‐based health education/counseling intervention. American Journal of Health Behavior 2005;29(5):395‐406. CENTRAL

Sanders 2014 {published data only}

Sanders LM, Perrin EM, Yin HS, Bronaugh A, Rothman RL, Greenlight Study Team. "Greenlight study": a controlled trial of low‐literacy, early childhood obesity prevention. Pediatrics 2014;133(6):e1724‐37. CENTRAL

Sanigorski 2008 {published data only}

Sanigorski AM, Bell AC, Kremer PJ, Cuttler R, Swinburn BA. Reducing unhealthy weight gain in children through community capacity‐building: results of a quasi‐experimental intervention program, Be Active Eat Well. International Journal of Obesity 2008;32(7):1060‐7. CENTRAL

Sanjur 1990 {published data only}

Sanjur D, Garcia A, Aguilar R, Furumoto R, Mort M. Dietary patterns and nutrient intakes of toddlers from low‐income families in Denver, Colorado. Journal of the American Dietetic Association 1990;90(6):823‐9. CENTRAL

Sanna 2011 {published data only}

Sanna T, Saarinen M, Lagstrom H. Tracking and clustering of dietary factors in the prospective dietary intervention trial in childhood and adolescence. Annals of Nutrition and Metabolism 2011;58:326. CENTRAL

Savage 2010 {published data only}

Savage JS, Paul IM, Marini ME, Birch LL. Pilot intervention promoting responsive feeding, the division of feeding responsibility, and healthy dietary choices during infancy. Appetite 2010;54(3):673. CENTRAL

Scherr 2017 {published data only}

Scherr RE, Linnell JD, Dharmar M, Beccarelli L, Bergman JM, Briggs J, et al. A multicomponent, school‐based intervention, the Shaping Healthy Choices Program, improves nutrition‐related outcomes. Journal of Nutrition Education and Behavior2017; Vol. 49, issue 5:368‐79. CENTRAL

Schmied 2015 {published data only}

Schmied E, Parada H, Horton L, Ibarra L, Ayala G. A process evaluation of an efficacious family‐based intervention to promote healthy eating: the Entre Familia: Reflejos de Salud Study. Health Education & Behavior 2015;42(5):583‐92. CENTRAL

Schumacher 2015 {published data only}

Schumacher TL, Burrows TL, Thompson DI, Spratt NJ, Callister R, Collins CE. Feasibility of recruiting families into a heart disease prevention program based on dietary patterns. Nutrients2015; Vol. 7, issue 8:7042‐57. CENTRAL

Schwartz 2007a {published data only}

Schwartz RP, Hamre R, Dietz WH, Wasserman RC, Slora EJ, Myers EF, et al. Office‐based motivational interviewing to prevent childhood obesity. Archives of Pediatrics and Adolescent Medicine 2007;161(5):495‐501. CENTRAL

Schwartz 2007b {published data only}

Schwartz MB. The influence of a verbal prompt on school lunch fruit consumption: a pilot study. International Journal of Behavioral Nutrition and Physical Activity 2007;4:6. CENTRAL

Schwartz 2015 {published data only}

Schwartz MB, O'Connell M, Henderson KE, Middleton AE, Scarmo S. Testing variations on family‐style feeding to increase whole fruit and vegetable consumption among preschoolers in child care. Childhood Obesity (Print) 2015;11(5):499‐505. CENTRAL

Sharafi 2016 {published data only}

Sharafi M, Peracchio H, Dugdale T, Scarmo S, Huedo‐Medina T, Duffy V. Measuring vegetable intake and dietary quality in response to a preschool‐based education program. Journal of the Academy of Nutrition and Dietetics 2016;116(9):A86. CENTRAL

Sharma 2016 {published data only}

Sharma SV, Markham C, Chow J, Ranjit N, Pomeroy M, Raber M. Evaluating a school‐based fruit and vegetable co‐op in low‐income children: a quasi‐experimental study. Preventive Medicine 2016;91:8‐17. CENTRAL

Sharps 2016 {published data only}

Sharps M, Robinson E. Encouraging children to eat more fruit and vegetables: health vs. descriptive social norm‐based messages. Appetite2016; Vol. 100:18‐25. CENTRAL

Sherwood 2013 {published data only}

Sherwood NE, French SA, Veblen‐Mortenson S, Crain AL, Berge J, Kunin‐Batson A, et al. NET‐Works: linking families, communities and primary care to prevent obesity in preschool‐age children. Contemporary Clinical Trials 2013;36(2):544‐54. CENTRAL

Shilts 2014 {published data only}

Shilts M, Ontai L, Townsend M. Efficacy of a guided goal‐setting intervention for low‐income parents to reduce risk of pediatric obesity: preliminary results. Journal of Nutrition Education and Behavior 2014;46(4 Supplement):S118. CENTRAL

Shim 2011 {published data only}

Shim JE, Kim J, Mathai RA. Associations of infant feeding practices and picky eating behaviors of preschool children. Journal of the American Dietetic Association 2011;111(9):1363‐8. CENTRAL

Shin 2014 {published data only}

Shin HS, Valente TW, Riggs NR, Huh J, Spruijt‐Metz D, Chou CP, et al. The interaction of social networks and child obesity prevention program effects: the pathways trial. Obesity 2014;22:1520‐6. CENTRAL

Siega‐Riz 2004 {published data only}

Siega‐Riz AM, Kranz S, Blanchette D, Haines PS, Guilkey DK, Popkin BM. The effect of participation in the WIC program on preschoolers' diets. The Journal of Pediatrics 2004;144(2):229‐34. CENTRAL

Singh 2018 {published data only}

Singh A, Klemm RD, Mundy G, Pandey Rana P, Pun B, Cunningham K. Improving maternal, infant and young child nutrition in Nepal via peer mobilization. Public Health Nutrition 2018;21(4):796‐806. CENTRAL

Skouteris 2014 {published data only}

Skouteris H, Edwards S, Rutherford L, Cutter‐MacKenzie A, Huang T, O'Connor A. Promoting healthy eating, active play and sustainability consciousness in early childhood curricula, addressing the Ben10™ problem: a randomised control trial. BMC Public Health 2014;14:548. CENTRAL

Slusser 2012 {published data only}

Slusser W, Frankel F, Robison K, Fischer H, Cumberland WG, Neumann C. Pediatric overweight prevention through a parent training program for 2‐4 year old Latino children. Childhood Obesity 2012;8(1):52‐9. CENTRAL

Smith 2013 {published data only}

Smith L, Conroy K, Wen H, Rui L, Humphries D. Portion size variably affects food intake of 6‐year‐old and 4‐year‐old children in Kunming, China. Appetite 2013;69:31‐8. CENTRAL

Smith 2015 {published data only}

Smith E, Wells K, Stluka S, McCormack LA. The impact of a fruit and vegetable intervention on children and caregivers. American Journal of Health Education 2015;46(6):316‐22. CENTRAL

Sobko 2011 {published data only}

Sobko T, Svensson V, Ek A, Ekstedt M, Karlsson H, Johansson E, et al. A randomised controlled trial for overweight and obese parents to prevent childhood obesity‐‐Early STOPP (STockholm Obesity Prevention Program). BMC Public Health 2011;11:336. CENTRAL

Sobko 2017 {published data only}

Sobko T, Jia Z, Kaplan M, Lee A, Tseng CH. Promoting healthy eating and active playtime by connecting to nature families with preschool children: evaluation of pilot study "Play&Grow". Pediatric Research 2017;81(4):572‐81. CENTRAL

Sojkowski 2012 {published data only}

Sojkowski S, Severin S, Kannan S. Sensory exploration of seasonally and locally available vegetables and their effects on vegetable consumption of Western Massachusetts Head Start preschool children. FASEB Journal2012; Vol. 26. CENTRAL

Solomons 1999 {published data only}

Solomons NW. Plant sources of vitamin A and human nutrition: how much is still too little?. Nutrition Reviews 1999;57(11):350‐61. CENTRAL

Song 2016 {published data only}

Song HJ, Grutzmacher S, Munger AL. Project ReFresh: testing the efficacy of a school‐based classroom and cafeteria intervention in elementary school children. Journal of School Health 2016;86(7):543‐51. CENTRAL

Sotos‐Prieto 2013 {published data only}

Sotos‐Prieto M, Santos‐Beneit G, Penalvo JL, Pocock S, Redondo J, Fuster V. Mediterranean dietary patterns in 3‐5 year old children and their parents: the Program Si! study. Annals of Nutrition and Metabolism 2013;63:921‐2. CENTRAL
Sotos‐Prieto M, Santos‐Beneit G, Pocock S, Redondo J, Fuster V, Penalvo JL. Parental and self‐reported dietary and physical activity habits in pre‐school children and their socio‐economic determinants. Public Health Nutrition 2015;18(2):275‐85. CENTRAL

Speirs 2013 {published data only}

Speirs K, Grutzmacher SK. Lessons learned for enrolling parents in a text message‐based nutrition education program. Journal of Nutrition Education and Behavior 2013;45(4 Supplement):S1. CENTRAL

Stark 1986 {published data only}

Stark LJ, Collins FL, Osnes PG, Stokes TF. Using reinforcement and cueing to increase healthy snack food choices in preschoolers. Journal of Applied Behavior Analysis 1986;19(4):367‐79. CENTRAL

Stark 2011 {published data only}

Stark LJ, Spear S, Boles R, Kuhl E, Ratcliff M, Scharf C, et al. A pilot randomized controlled trial of a clinic and home‐based behavioral intervention to decrease obesity in preschoolers. Obesity 2011;19:134‐41. CENTRAL

Steenbock 2017 {published data only}

Steenbock B, Zeeb H, Rach S, Pohlabeln H, Pischke CR. Design and methods for a cluster‐controlled trial conducted at sixty‐eight daycare facilities evaluating the impact of "JolinchenKids ‐ Fit and Healthy in Daycare", a program for health promotion in 3‐ to 6‐year‐old children. BMC Public Health2017; Vol. 18, issue 1:6. CENTRAL

Stern 2018 {published data only}

Stern M, Bleck J, Ewing LJ, Davila E, Lynn C, Hale G, et al. NOURISH‐T: targeting caregivers to improve health behaviors in pediatric cancer survivors with obesity. Pediatric Blood & Cancer 2018;19:19. CENTRAL

Story 2012 {published data only}

Story M, Hannan PJ, Fulkerson JA, Rock BH, Smyth M, Arcan C, et al. Bright Start: description and main outcomes from a group‐randomized obesity prevention trial in American Indian children. Obesity 2012;20(11):2241‐9. CENTRAL

Suarez‐Balcazar 2014 {published data only}

Suarez‐Balcazar Y, Kouba J, Jones LM, Lukyanova VV. A university‐school collaboration to enhance healthy choices among children. Journal of Prevention & Intervention in the Community 2014;42(2):140‐51. CENTRAL

Sun 2017 {published data only}

Sun A, Cheng J, Bui Q, Liang Y, Ng T, Chen JL. Home‐based and technology‐centered childhood obesity prevention for Chinese mothers with preschool‐aged children. Journal of Transcultural Nursing2017; Vol. 28, issue 6:616‐24. CENTRAL

Sweitzer 2010 {published data only}

Briley ME, Ranjit N, Holescher DM, Sweitzer SJ, Almansour F, Roberts‐Gray C. Unbundling outcomes of a multilevel intervention to increase fruit, vegetables and whole grains parents pack for their preschool children in sack lunches. American Journal of Health Education 2012;43:135‐42. CENTRAL
Roberts‐Gray C, Briley ME, Ranjit N, Byrd‐Williams CE, Sweitzer SJ, Sharma SV, et al. Efficacy of the Lunch is in the Bag intervention to increase parents' packing of healthy bag lunches for young children: a cluster‐randomized trial in early care and education centers. International Journal of Behavioral Nutrition & Physical Activity 2016;13:3. CENTRAL
Roberts‐Gray C, Ranjit N, Sweitzer SJ, Byrd‐Williams CE, Romo‐Palafox MJ, Briley ME, et al. Parent packs, child eats: surprising results of Lunch is in the Bag's efficacy trial. Appetite 2017;24:24. CENTRAL
Sharma SV, Rashid T, Ranjit N, Byrd‐Williams C, Chuang RJ, Roberts‐Gray C, et al. Effectiveness of the Lunch is in the Bag program on communication between the parent, child and child‐care provider around fruits, vegetables and whole grain foods: a group‐randomized controlled trial. Preventive Medicine 2015;81:1‐8. CENTRAL
Sweitzer SJ, Briley ME, Roberts‐Gray C, Hoelscher DM, Harrist RB, Staskel DM, et al. Lunch is in the Bag: increasing fruits, vegetables, and whole grains in sack lunches of preschool‐aged children. Journal of the American Dietetic Association 2010;110(7):1058‐64. CENTRAL
Sweitzer SJ, Briley ME, Roberts‐Gray C, Hoelscher DM, Harrist RB, Staskel DM, et al. Psychosocial outcomes of Lunch is in the Bag, a parent program for packing healthful lunches for preschool children. Journal of Nutrition Education & Behavior 2011;43(6):536‐42. CENTRAL

Tande 2013 {published data only}

Tande D, Niemeier BS, Hwang H, Stastny S, Hektner JM. Intervention changes fruit and vegetable intake among preschoolers in pilot study. Journal of Nutrition Education & Behavior 2013;45:S58‐9. CENTRAL

Taylor 2007 {published data only}

McAuley KA, Taylor RW, Farmer VL, Hansen P, Williams SM, Booker CS. Economic evaluation of a community‐based obesity prevention program in children: the APPLE project. Obesity2009; Vol. 18, issue 1:131‐6. CENTRAL
Taylor RW, McAuley KA, Barbezat W, Farmer VL, Williams SM, Mann JI. Two‐year follow‐up of an obesity prevention initiative in children: the APPLE project. American Journal of Clinical Nutrition 2008;88(5):1371‐7. CENTRAL
Taylor RW, McAuley KA, Barbezat W, Strong A, Williams SM, Mann JI. APPLE project: 2‐y findings of a community‐based obesity prevention program in primary school‐age children. American Journal of Clinical Nutrition 2007;86(3):735‐42. CENTRAL

Taylor 2010 {published data only}

Taylor RW, Brown D, Dawson AM, Haszard J, Cox A, Rose EA, et al. Motivational interviewing for screening and feedback and encouraging lifestyle changes to reduce relative weight in 4‐8 year old children: design of the MInT study. BMC Public Health 2010;10:271. CENTRAL

Taylor 2013a {published data only}

Taylor C, Darby H, Upton P, Upton D. Can a school‐based intervention increase children's fruit and vegetable consumption in the home setting?. Perspectives in Public Health 2013;133(6):330‐6. CENTRAL

Taylor 2013b {published data only}

Taylor JC, Johnson RK. Farm to School as a strategy to increase children's fruit and vegetable consumption in the United States: research and recommendations. Nutrition Bulletin 2013;38:70‐9. CENTRAL

Taylor 2013c {published data only}

Taylor NJ, Sahota P, Sargent J, Barber S, Loach J, Louch G, et al. Using intervention mapping to develop a culturally appropriate intervention to prevent childhood obesity: the HAPPY (Healthy and Active Parenting Programme for Early Years) study. International Journal of Behavioral Nutrition & Physical Activity 2013;10:142. CENTRAL

Taylor 2015a {published data only}

Taylor C, Upton P, Upton D. Increasing primary school children's fruit and vegetable consumption: a review of the Food Dudes programme. Health Education 2015;115(2):178‐96. CENTRAL

Taylor 2015b {published data only}

Taylor RW, Cox A, Knight L, Brown DA, Meredith‐Jones K, Haszard JJ, et al. A tailored family‐based obesity intervention: a randomized trial. Pediatrics 2015;136(2):282‐9. CENTRAL

Taylor 2016 {published data only}

Taylor RW, Heath AL, Galland BC, Cameron SL, Lawrence JA, Gray AR, et al. Three‐year follow‐up of a randomised controlled trial to reduce excessive weight gain in the first two years of life: protocol for the POI follow‐up study. BMC Public Health2016; Vol. 16, issue 1:771. CENTRAL

Te Velde 2008 {published data only}

Te Velde SJ, Brug J, Wind M, Hildonen C, Bjelland M, Pérez‐Rodrigo C, et al. Effects of a comprehensive fruit‐ and vegetable‐promoting school‐based intervention in three European countries: the Pro Children Study. British Journal of Nutrition 2008;99(4):893‐903. CENTRAL
Te Velde SJ, Wind M, Perez‐Rodrigo C, Klepp KI, Brug J. Mothers' involvement in a school‐based fruit and vegetable promotion intervention is associated with increased fruit and vegetable intakes ‐ the Pro Children study. International Journal of Behavioral Nutrition and Physical Activity2008; Vol. 5, issue 48:15. CENTRAL

Tharrey 2017 {published data only}

Tharrey M, Olaya GA, Fewtrell M, Ferguson E. Adaptation of new Colombian food‐based complementary feeding recommendations using linear programming. Journal of Pediatric Gastroenterology and Nutrition 2017;65(6):667‐72. CENTRAL

Thomson 2014 {published data only}

Thomson JL, Tussing‐Humphreys LM, Goodman MH. Delta Healthy Sprouts: a randomized comparative effectiveness trial to promote maternal weight control and reduce childhood obesity in the Mississippi Delta. Contemporary Clinical Trials2014; Vol. 38, issue 1:82‐91. CENTRAL

Timms 2011 {published data only}

Timms V. Early intervention and good feeding advice support healthy eating. Nursing Children & Young People 2011;23:9. CENTRAL

Tobey 2016 {published data only}

Tobey LN, Koenig HF, Brown NA, Manore MM. Reaching low‐income mothers to improve family fruit and vegetable intake: food hero social marketing campaign‐research steps, development and testing. Nutrients2016; Vol. 8, issue 9:13. CENTRAL

Tomayko 2016 {published data only}

Tomayko EJ, Prince RJ, Cronin KA, Adams AK. The Healthy Children, Strong Families intervention promotes improvements in nutrition, activity and body weight in American Indian families with young children. Public Health Nutrition2016; Vol. 19, issue 15:2850‐9. CENTRAL
Tomayko EJ, Prince RJ, Cronin KA, Adams AK. The Healthy Children, Strong Families intervention promotes improvements in nutrition, activity, and body weight in American Indian families with young children – ERRATUM. Public Health Nutrition2016; Vol. 20, issue 2:380. CENTRAL

Tomayko 2017 {published data only}

Tomayko EJ, Mosso KL, Cronin KA, Carmichael L, Kim K, Parker T, et al. Household food insecurity and dietary patterns in rural and urban American Indian families with young children. BMC Public Health2017; Vol. 17, issue 1:611. CENTRAL

Tovar 2017 {published data only}

Tovar A, Vaughn AE, Grummon A, Burney R, Erinosho T, Ostbye T, et al. Family child care home providers as role models for children: cause for concern?. Preventive Medicine Reports2017; Vol. 5:308‐13. CENTRAL

Tran 2017 {published data only}

Tran MTN. Parents and School’s Collaboration for Improving Children Food Well‐Being by Knowledge Perspective [Thesis]. Nomi: Japan Advanced Institute of Science and Technology, 2017. CENTRAL

Trees 2012 {published data only}

Trees N, Dwyer J. Feeding the next generation. Nutrition Today 2012;47:281‐97. CENTRAL

Tucker 2011 {published data only}

Tucker S, Lanningham‐Foster L, Murphy J, Olsen G, Orth K, Voss J, et al. A school based community partnership for promoting healthy habits for life. Journal of Community Health 2011;36(3):414‐22. CENTRAL

Tyler 2016 {published data only}

Tyler DO, Horner SD. A primary care intervention to improve weight in obese children: a feasibility study. Journal of the American Association of Nurse Practitioners2016; Vol. 28, issue 2:98‐106. CENTRAL

Uicab‐Pool 2009 {published data only}

Uicab‐Pool GA, Ferriani MGC, Gomes R, Pelcastre‐Villafuerte B. Representations of eating and of a nutrition program among female caregivers of children under 5 years old in Tizimin, Yucatan, Mexico. Revista Latino‐Americana de Enfermagem 2009;17(6):940‐6. CENTRAL

Upton 2013 {published data only}

Upton D, Upton P, Taylor C. Increasing children's lunchtime consumption of fruit and vegetables: an evaluation of the Food Dudes program. Public Health Nutrition 2013;16(6):1066‐72. CENTRAL
Upton P, Taylor C, Upton D. The effects of the Food Dudes Programme on children's intake of unhealthy foods at lunchtime. Perspectives in Public Health 2015;135(3):152‐9. CENTRAL

Upton 2014 {published data only}

Upton D, Taylor C, Upton P. Parental provision and children's consumption of fruit and vegetables did not increase following the Food Dudes programme. Health Education (0965‐4283) 2014;114:58‐66. CENTRAL

Urrutia 2017 {published data only}

Urrutia CN. Evaluation of a Nutrition Education Program Targeting Home‐Based Child Care Centers [Thesis]. El Paso: University of Texas, 2017. CENTRAL

Utter 2017 {published data only}

Utter J, Fay AP, Denny S. Child and youth cooking programs: more than good nutrition?. Journal of Hunger & Environmental Nutrition 2017;12(4):554‐80. CENTRAL

Vandeweghe 2016 {published data only}

Vandeweghe L, Verbeken S, Moens E, Vervoort L, Braet C. Strategies to improve the willingness to taste: the moderating role of children's reward sensitivity. Appetite 2016;103:344‐52. CENTRAL

Van Horn 2005 {published data only}

Van Horn L, Obarzanek E, Aronson Friedman L, Gernhofer N, Barton B. Children's adaptations to a fat‐reduced diet: The Dietary Intervention Study in Children (DISC). Pediatrics 2005;115(6):1723‐33. CENTRAL

Van Horn 2011 {published data only}

Van Horn L. Nutrition and child care: a healthy head start. Journal of the American Dietetic Association 2011;111(9):1282. CENTRAL

Van Nassau 2015 {published data only}

Van Nassau F, Singh AS, Van Mechelen W, Brug J, Chinapaw MJM. Implementation evaluation of school‐based obesity prevention programmes in youth; how, what and why?. Public Health Nutrition 2015;18(09):1531‐4. CENTRAL

Vaughn 2017 {published data only}

Vaughn AE, Mazzucca S, Burney R, Ostbye T, Neelon B, Tovar SE, et al. Assessment of nutrition and physical activity environments in family child care homes: modification and psychometric testing of the Environment and Policy Assessment and Observation. BMC Public Health2017; Vol. 17, issue 1:680. CENTRAL

Vecchiarelli 2005 {published data only}

Vecchiarelli S, Prelip M, Slusser W, Weightman H, Neumann C. Using participatory action research to develop a school‐based environmental intervention to support healthy eating and physical activity. American Journal of Health Education 2005;36(1):35‐42. CENTRAL

Veldhuis 2009 {published data only}

Veldhuis L, Struijk MK, Kroeze W, Oenema A, Renders CM, Bulk‐Bunschoten AMW, et al. 'Be active, eat right', evaluation of an overweight prevention protocol among 5‐year‐old children: design of a cluster randomised controlled trial. BMC Public Health 2009;9:177. CENTRAL

Viggiano 2012 {published data only}

Viggiano E, Viggiano A, Vicidomini C, Di Costanzo A, Andreozzi E, Romano V, et al. Kaledo, a new educational board‐game for nutrition education: cluster randomized trial of healthy lifestyle promotion. Obesity Facts 2012;5:260. CENTRAL

Vio 2014 {published data only}

Vio F, Salinas J, Montenegro E, González CG, Lera L. Impact of a nutrition education intervention in teachers, preschool and basic school‐age children in Valparaiso region in Chile. Nutricion Hospitalaria 2014;29(6):1298‐304. CENTRAL

Vitolo 2010 {published data only}

Rauber F, Hoffman DJ, Vitolo MR. Diet quality from pre‐school to school age in Brazilian children: a 4‐year follow‐up in a randomised control study. British Journal of Nutrition 2014;111(3):499‐505. CENTRAL
Valmorbida JL, Vitolo MR. Factors associated with low consumption of fruits and vegetables by preschoolers of low socio‐economic level. Jornal de Pediatria 2014;90:464‐71. CENTRAL
Vitolo MR, Rauber F, Campagnolo PD, Feldens CA, Hoffman DJ. Maternal dietary counseling in the first year of life is associated with a higher healthy eating index in childhood. Journal of Nutrition 2010;140(11):2002‐7. CENTRAL

Vitolo 2014 {published data only}

Vitolo MR, Louzada ML, Rauber F. Positive impact of child feeding training program for primary care health professionals: a cluster randomized field trial. Revista Brasileira de Epidemiologia [Brazilian journal of epidemiology]2014; Vol. 17, issue 4:873‐86. CENTRAL

Wald 2017 {published data only}

Wald ER, Ewing LJ, Moyer SCL, Eickhoff JC. An interactive web‐based intervention to achieve healthy weight in young children. Clinical Pediatrics 2017;Epub ahead of print:No pagination. CENTRAL

Walton 2015 {published data only}

Walton K, Filion AJ, Darlington G, Morrongiello B, Haines J. Parents and tots together: adaptation of a family‐based obesity prevention intervention to the Canadian context. Canadian Journal of Diabetes 2015;39:S72‐3. CENTRAL

Wansink 2013 {published data only}

Wansink B, Just DR, Hanks AS, Smith LE. Pre‐sliced fruit in school cafeterias: children's selection and intake. American Journal of Preventive Medicine 2013;44(5):477‐80. CENTRAL

Wansink 2014 {published data only}

Wansink B, Just D, Dollahite J, Latimer L, Thomas L, Hill T, et al. Smarter lunchrooms ‐ does changing environments really give more nutritional bang for the buck?. Journal of Nutrition Education and Behavior 2014;46(4 Supplement):S198‐9. CENTRAL

Ward 2011 {published data only}

Ward DS, Vaughn AE, Bangdiwala KI, Campbell M, Jones DJ, Panter AT, et al. Integrating a family‐focused approach into child obesity prevention: rationale and design for the My Parenting SOS study randomized control trial. BMC Public Health 2011;11:431. CENTRAL

Ward 2017 {published data only}

Ward DS, Vaughn AE, Mazzucca S, Burney R. Translating a child care based intervention for online delivery: development and randomized pilot study of Go NAPSACC. BMC Public Health 2017;17(1):891. CENTRAL

Wardle 2003b {published data only}

Wardle J, Herrera M‐L, Gibson EL. Modifying children’s food preferences: the effects of exposure and reward on acceptance of an unfamiliar vegetable. European Journal of Clinical Nutrition 2003;57(2):341‐8. CENTRAL

Warschburger 2018 {published data only}

Warschburger P, Gmeiner M, Morawietz M, Rinck M. Battle of plates: a pilot study of an approach‐avoidance training for overweight children and adolescents. Public Health Nutrition 2018;21(2):426‐34. CENTRAL

Wells 2005 {published data only}

Wells L, Nelson M. The National School Fruit Scheme produces short‐term but not longer‐term increases in fruit consumption in primary school children. British Journal of Nutrition 2005;93:537‐42. CENTRAL

Wen 2007 {published data only}

Baur L. Effectiveness of a home‐based early intervention on children's BMI at age two years: randomised controlled trial. Obesity Facts 2012;5:34. CENTRAL
Wen LM, Baur LA, Rissel C, Wardle K, Alperstein G, Simpson JM. Early intervention of multiple home visits to prevent childhood obesity in a disadvantaged population: a home‐based randomised controlled trial (Healthy Beginnings Trial). BMC Public Health 2007;7:76. CENTRAL
Wen LM, Baur LA, Simpson JM, Rissel C, Wardle K, Flood VM. Effectiveness of home based early intervention on children's BMI at age 2: Randomised controlled trial. BMJ 2012;344:e3732. CENTRAL
Wen LM, Baur LA, Simpson JM, Rissel C, Wardle K, Flood VM. Healthy Beginnings trial: the journey from the beginning. Obesity Research and Clinical Practice 2013;7:e2. CENTRAL

Wen 2011 {published data only}

Wen LM, Baur LA, Simpson JM, Rissel C, Flood VM. Effectiveness of an early intervention on infant feeding practices and "tummy time": a randomized controlled trial. Archives of Pediatrics & Adolescent Medicine 2011;165(8):701‐7. CENTRAL

Wen 2013 {published data only}

Wen J, Wang NR, Zhao Y, Fan X, Ye Y. Effect of eating behavior intervention on infants in the urban area of Chongqing, China. Zhongguo Dangdai Erke Zazhi 2013;15:361‐3. CENTRAL

Wen 2017 {published data only}

Wen LM, Rissel C, Baur LA, Hayes AJ, Xu H, Whelan A, et al. A 3‐arm randomised controlled trial of Communicating Healthy Beginnings Advice by Telephone (CHAT) to mothers with infants to prevent childhood obesity. BMC Public Health 2017;17(1):79. CENTRAL

Wengreen 2013 {published data only}

Wengreen H, Aguilar S, Madden G. Incentivizing children’s intake of fruits and vegetables at school: a U.S. evaluation of the Food Dudes program. Journal of Nutrition Education and Behavior 2013;45(4 Supplement):S33. CENTRAL

Whaley 2010 {published data only}

Whaley SE, McGregor S, Jiang L, Gomez J, Harrison G, Jenks E. A WIC‐based intervention to prevent early childhood overweight. Journal of Nutrition Education and Behavior 2010;42(3S):S47‐S51. CENTRAL

Whiteside‐Mansell 2017 {published data only}

Whiteside‐Mansell L, Swindle TM. Together we inspire smart eating: a preschool curriculum for obesity prevention in low‐income families. Journal of Nutrition Education and Behavior 2017;49(9):789‐92. CENTRAL

Wijesinha‐Bettoni 2013 {published data only}

Wijesinha‐Bettoni R, Orito A, Löwik M, McLean C, Muehlhoff E. Increasing fruit and vegetable consumption among schoolchildren: efforts in middle‐income countries. Food & Nutrition Bulletin 2013;34(1):75‐94. CENTRAL

Williamson 2013 {published data only}

Williamson DA, Han H, Johnson WD, Martin CK, Newton RL. Modification of the school cafeteria environment can impact childhood nutrition. Results from the Wise Mind and LA Health studies. Appetite 2013;61(1):77‐84. CENTRAL

Wilson 2016 {published data only}

Wilson A, Hartell B, Qu S, Martinez R. A one‐year innovative fruit and vegetable sampling program for WIC children: Willow Comes to WIC. Journal of the Academy of Nutrition and Dietetics 2016;116(9):A10. CENTRAL

Wyatt 2013 {published data only}

Wyatt KM, Lloyd JJ, Abraham C, Creanor S, Dean S, Densham E, et al. The Healthy Lifestyles Programme (HeLP), a novel school‐based intervention to prevent obesity in school children: study protocol for a randomised controlled trial. Trials 2013;14:95. CENTRAL

Wyse 2014 {published data only}

Fletcher A, Wolfenden L, Wyse R, Bowman J, McElduff P, Duncan S. A randomised controlled trial and mediation analysis of the 'Healthy Habits', telephone‐based dietary intervention for preschool children. International Journal of Behavioral Nutrition and Physical Activity 2013;10:43. CENTRAL
Wyse R, Campbell KJ, Brennan L, Wolfenden L. A cluster randomised controlled trial of a telephone‐based intervention targeting the home food environment of preschoolers (The Healthy Habits Trial): the effect on parent fruit and vegetable consumption. International Journal of Behavioral Nutrition & Physical Activity 2014;11:144. CENTRAL

Yeh 2017 {published data only}

Yeh Y, Hartlieb KB, Danford C, Catherine JKL. Effectiveness of nutrition intervention in a selected group of overweight and obese African‐American preschoolers. Journal of Racial & Ethnic Health Disparities2017; Vol. 11:11. CENTRAL

Yin 2012 {published data only}

Yin Z, Parra‐Medina D, Cordova A, He M, Trummer V, Sosa E, et al. Miranos! Look at us, we are healthy! An environmental approach to early childhood obesity prevention. Childhood Obesity 2012;8(5):429‐39. CENTRAL

Yoong 2017 {published data only}

Yoong SL, Grady A, Wiggers J, Flood V, Rissel C, Finch M, et al. A randomised controlled trial of an online menu planning intervention to improve childcare service adherence to dietary guidelines: a study protocol. BMJ Open2017; Vol. 7, issue 9:e017498. CENTRAL

Young 2017 {published data only}

Young L. Under 5 Energize: Improving child nutrition and physical activity through early childhood centres [Thesis]. Auckland: Auckland University of Technology, 2017. CENTRAL

Zask 2012 {published data only}

Adams J, Molyneux M, Squires L. Sustaining an obesity prevention intervention in preschools. Health Promotion Journal of Australia 2011;22(1):6‐10. CENTRAL
Adams J, Zask A, Dietrich U. Tooty Fruity Vegie in Preschools: an obesity prevention intervention in preschools targeting children's movement skills and eating behaviours. Health Promotion Journal of Australia 2009;20(2):112‐9. CENTRAL
Zask A, Adams JK, Brooks LO, Hughes DF. Tooty Fruity Vegie: an obesity prevention intervention evaluation in Australian preschools. Health Promotion Journal of Australia 2012;23(1):10‐5. CENTRAL

Zeinstra 2010 {published data only}

Zeinstra GG, Renes RJ, Koelen MA, Kok FJ, De Graaf C. Offering choice and its effect on Dutch children's liking and consumption of vegetables: a randomized controlled trial. American Journal of Clinical Nutrition 2010;91(2):349‐56. CENTRAL

Zhou 2016 {published data only}

Zhou G, Gan Y, Hamilton K, Schwarzer R. The role of social support and self‐efficacy for planning fruit and vegetable intake. Journal of Nutrition Education and Behavior2016; Vol. 49, issue 2:100‐6. CENTRAL

Zhou 2017 {published data only}

Zhou N, Cheah CSL, Li Y, Liu J, Sun S. The role of maternal and child characteristics in Chinese children's dietary intake across three groups. Journal of Pediatric Psychology 2017;31:31. CENTRAL

Zota 2016 {published data only}

Dalma A, Zota D, Kouvari M, Kastorini CM, Veloudaki A, Ellis‐Montalban P, et al. Daily distribution of free healthy school meals or food‐voucher intervention? Perceptions and attitudes of parents and educators. Appetite 2018;120:627‐35. CENTRAL
Zota D, Dalma A, Petralias A, Lykou A, Kastorini CM, Yannakoulia M, et al. Promotion of healthy nutrition among students participating in a school food aid program: a randomized trial. International Journal of Public Health 2016;61(5):583–92. CENTRAL

Zotor 2008 {published data only}

Zotor FB, Amuna P. The food multimix concept: new innovative approach to meeting nutritional challenges in Sub‐Saharan Africa. Proceedings of the Nutrition Society 2008;67(1):98‐104. CENTRAL

Østbye 2012 {published data only}

Østbye T, Krause KM, Stroo M, Lovelady CA, Evenson KR, Peterson BL, et al. Parent‐focused change to prevent obesity in preschoolers: results from the KAN‐DO study. Preventive Medicine 2012;55(3):188‐95. CENTRAL
Østbye T, Zucker NL, Krause KM, Lovelady CA, Evenson KR, Peterson BL, et al. Kids and adults now! Defeat Obesity (KAN‐DO): rationale, design and baseline characteristics. Contemporary Clinical Trials 2011;32(3):461‐9. CENTRAL

Hull 2014 {published data only}

Hull PC, Emerson JS, Schmidt D, Vylegzhanina V, Quirk M, Mulvaney S, et al. Nashville Children Eating Well (CHEW) for Health: smartphone application for WIC‐participating families. Journal of Nutrition Education and Behavior 2014;46(4 Supplement):S202. CENTRAL

Shahriarzadeh 2017 {published data only}

Shahriarzadeh F, Kelishadi R, Fatehizadeh M, Hassanzadeh A, Askari G. The effect of motivational interviewing and healthy diet on anthropometric indices and blood pressure in overweight and obese school children. Journal of Isfahan Medical School 2017;35(426):412‐21. CENTRAL

Belanger 2016 {published data only}

Belanger M, Humbert L, Vatanparast H, Ward S, Muhajarine N, Chow A F, et al. A multilevel intervention to increase physical activity and improve healthy eating and physical literacy among young children (ages 3‐5) attending early childcare centres: the Healthy Start‐Depart Sante cluster randomised controlled trial study protocol. BMC Public Health 2016;16(1):313. CENTRAL

Brophy‐Herb 2017 {published data only}

Brophy‐Herb HE, Horodynski M, Contreras D, Kerver J, Kaciroti N, Stein M, et al. Effectiveness of differing levels of support for family meals on obesity prevention among Head Start preschoolers: the Simply Dinner study. BMC Public Health 2017;17(1):184. CENTRAL

Helle 2017 {published data only}

Helle C, Hillesund ER, Omholt ML, Overby NC. Early food for future health: a randomized controlled trial evaluating the effect of an eHealth intervention aiming to promote healthy food habits from early childhood. BMC Public Health 2017;17(1):729. CENTRAL

Hennink‐Kaminski 2017 {published data only}

Hennink‐Kaminski H, Vaughn AE, Hales D, Moore RH, Luecking CT, Ward DS. Parent and child care provider partnerships: protocol for the Healthy Me, Healthy We (HMHW) cluster randomized control trial. Contemporary Clinical Trials 2017;8:8. CENTRAL

Horodynski 2011 {published data only}

Horodynski MA, Baker S, Coleman G, Auld G, Lindau J. The Healthy Toddlers Trial Protocol: an intervention to reduce risk factors for childhood obesity in economically and educationally disadvantaged populations. BMC Public Health 2011;11:581. CENTRAL

ISRCTN45864056 {published data only}

ISRCTN45864056. First food for infants (randomized controlled trial evaluating a cooking intervention to improve parental cooking skills and thereby improve dietary intake in infants aged 6‐12 months). https://doi.org/10.1186/ISRCTN45864056 (date applied 9 May 2016). CENTRAL

ISRCTN98064772 {published data only}

ISRCTN98064772. A cluster randomized web‐based intervention trial among one‐year‐old‐children in kindergarten to reduce food neophobia and promote healthy diets. https://doi.org/10.1186/ISRCTN98064772 (date applied 18 May 2017). CENTRAL

Kobel 2017 {published data only}

Kobel S, Wartha O, Wirt T, Dreyhaupt J, Lammle C, Friedemann EM, et al. Design, implementation, and study protocol of a kindergarten‐based health promotion intervention. Biomed Research International 2017;2017:4347675. CENTRAL

Mennella 2017 {published data only}

Mennella JA, Daniels LM, Reiter AR. Learning to like vegetables during breastfeeding: a randomized clinical trial of lactating mothers and infants. American Journal of Clinical Nutrition 2017;106(1):67‐76. CENTRAL

NCT03003923 {published data only}

NCT03003923. A randomised control trial of an educational and taste‐exposure intervention to promote vegetable intake in preschool aged children. https://clinicaltrials.gov/ct2/show/NCT03003923 (first posted 28 December 2016). CENTRAL

NCT03229629 {published data only}

NCT03229629. What promotes healthy eating? The roles of information, affordability, accessibility, gender, and peers on food consumption. clinicaltrials.gov/ct2/show/NCT03229629 (first posted 25 July 2017). CENTRAL

NTR6572 {published data only}

NTR6572. Baby's first bites (The What and How in Weaning: a randomised controlled trial to assess the effects of vegetable‐exposure and responsive feeding on vegetable acceptance in infants and toddlers). http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=6572 (date registered NTR 17 July 2017). CENTRAL

Seguin 2017 {published data only}

Seguin RA, Morgan EH, Hanson KL, Ammerman AS, Jilcott Pitts SB, Kolodinsky J, et al. Farm Fresh Foods for Healthy Kids (F3HK): an innovative community supported agriculture intervention to prevent childhood obesity in low‐income families and strengthen local agricultural economies. BMC Public Health 2017;17(1):306. CENTRAL

Sobko 2016 {published data only}

Sobko T, Tse M, Kaplan M. A randomized controlled trial for families with preschool children ‐ promoting healthy eating and active playtime by connecting to nature. BMC Public Health 2016;16(1):505. CENTRAL

Watt 2014 {published data only}

Watt RG, Draper AK, Ohly HR, Rees G, Pikhart H, Cooke L, et al. Methodological development of an exploratory randomised controlled trial of an early years' nutrition intervention: the CHERRY programme (Choosing Healthy Eating when Really Young). Maternal & Child Nutrition 2014;10(2):280‐94. CENTRAL

Østbye 2015 {published data only}

Tovar A, Vaughn AE, Fallon M, Hennessy E, Burney R, Østbye T, et al. Providers' response to child eating behaviors: a direct observation study. Appetite 2016;105:534‐41. CENTRAL
Østbye T, Mann C, Namenek Brouwer R, Vaughn A, Bartlett R, Ward D. The keys to healthy family child care homes (KEYS) intervention study: design, rationale and baseline characteristics. Obesity Reviews 2014;15:238. CENTRAL
Østbye T, Mann CM, Vaughn AE, Namenek Brouwer RJ, Benjamin Neelon SE, Hales D, et al. The keys to healthy family child care homes intervention: study design and rationale. Contemporary Clinical Trials 2015;40:81‐9. CENTRAL

Ajzen 1991

Ajzen I. The theory of planned behavior. Organizational Behavior and Human Decision Processes 1991;50(2):179‐211.

Antova 2003

Antova T, Pattenden S, Nikiforov B, Leonardi GS, Boeva B, Fletcher T, et al. Nutrition and respiratory health in children in six Central and Eastern European countries. Thorax 2003;58(3):231‐6.

Australian Bureau of Statistics 2014

Australian Bureau of Statistics. 4364.0.55.007 ‐ Australian Health Survey: Nutrition First Results – Food and Nutrients, 2011‐12. Canberra: Australian Bureau of Statistics, 2014.

Bandura 1986

Bandura A. Social Foundations of Thought and Action: A Social Cognitive Theory. Englewood Cliffs, New Jersey: Prentice Hall, 1986.

Blanchette 2005

Blanchette L, Brug J. Determinants of fruit and vegetable consumption among 6‐12 year old children and effective interventions to increase consumption. Journal of Human Nutrition and Dietetics 2005;18(6):431‐43.

Boeing 2012

Boeing H, Bechthold A, Bub A, Ellinger S, Haller D, Kroke A, et al. Critical review: vegetables and fruit in the prevention of chronic diseases. European Journal of Nutrition 2012;51(6):637‐63.

Burchett 2003

Burchett H. Increasing fruit and vegetable consumption among British primary school children: a review. Health Education 2003;103(2):99‐109.

Campbell 2007

Campbell KJ, Hesketh KD. Strategies which aim to positively impact on weight, physical activity, diet and sedentary behaviours in children from zero to five years. A systematic review of the literature. Obesity Reviews 2007;8:327‐38.

Centers for Disease Control and Prevention 2011

Centers for Disease Control and Prevention. Strategies to Prevent Obesity and Other Chronic Diseases. www.cdc.gov/obesity/downloads/fandv_2011_web_tag508.pdf. Atlanta: U.S. Department of Health and Human Services, 2011 (accessed 31st August 2017).

Ciliska 2000

Ciliska D, Miles E, O'Brien MA, Turl C, Tomasik HH, Donovan U, et al. Effectiveness of community‐based interventions to increase fruit and vegetable consumption. Journal of Nutrition Education 2000;32(6):341‐52.

Cochrane 2017a

The Cochrane Collaboration. CRS (Cochrane Register of Studies). community.cochrane.org/tools/data‐management‐tools/crs2017.

Cochrane 2017b

The Cochrane Collaboration. Cochrane Crowd. crowd.cochrane.org2017.

Contento 1995

Contento I, Balch GI, Bronner YL, Lytle LA, Maloney SK, Olson CM, et al. The effectiveness of nutrition education and implications for nutrition education policy, programs, and research: a review of research. Journal of Nutrition Education 1995;27(6):277‐418.

Craigie 2011

Craigie AM, Lake AA, Kelly SA, Adamson AJ, Mathers JC. Tracking of obesity‐related behaviours from childhood to adulthood: a systematic review. Maturitas 2011;70:266‐84.

De Sa 2008

De Sa J, Lock K. Will European agricultural policy for school fruit and vegetables improve public health? A review of school fruit and vegetable programmes. European Journal of Public Health 2008;18(6):558‐68.

Delgado‐Noguera 2011

Delgado‐Noguera M, Tort S, Martínez‐Zapata MJ, Bonfill X. Primary school interventions to promote fruit and vegetable consumption: a systematic review and meta‐analysis. Preventive Medicine 2011;53:3‐9.

Elkan 2000

Elkan R, Kendrick D, Hewitt M, Robinson JJ, Tolley K, Blair M, et al. The effectiveness of domiciliary health visiting: a systematic review of international studies and a selective review of the British literature. Health Technology Assessment 2000;4(13):1‐339.

Elliott (in press)

Elliott JH, Synnot A, Turner T, Simmonds M, Akl EA, McDonald S, et al. Living Systematic Reviews: 1. Introduction ‐ the Why, What, When and How. Journal of Clinical Epidemiology (in press).

Evans 2012

Evans CE, Christian MS, Cleghorn CL, Greenwood DC, Cade JE. Systematic review and meta‐analysis of school‐based interventions to improve daily fruit and vegetable intake in children aged 5 to 12 y. American Journal of Clinical Nutrition 2012;96(4):889‐901.

Fitzgibbon 2005

Fitzgibbon ML, Stolley MR, Schiffer L, Van Horn L, KauferChristoffel K, Dyer A. Two‐year follow‐up results for Hip‐Hop to Health Jr.: a randomized controlled trial. The Journal of Pediatrics 2005;146(5):618‐25.

Fitzgibbon 2006

Fitzgibbon ML, Stolley MR, Schiffer L, Van Horn L, KauferChristoffel K, Dyer A. Hip‐Hop to Health Jr. for Latino preschool children. Obesity (Silver Spring) 2006;14(9):1616‐52.

Fjeldsoe 2011

Fjeldsoe B, Neuhaus M, Winkler E, Eakin E. Systematic review of maintenance of behaviour change following physical activity and dietary interventions. Health Psychology 2011;30(1):99‐109.

Forastiere 2005

Forastiere F, Pistelli R, Sestini P, Fortes C, Renzoni E, Rusconi F, et al. Consumption of fresh fruit rich in vitamin C and wheezing symptoms in children. Thorax 2000;55(4):283‐8.

Freedland 2011

Freedland KE, Mohr DC, Davidson KW, Schwartz JE. Usual and unusual care: existing practice control groups in randomized controlled trials of behavioral interventions. Psychosomatic Medicine 2011;73(4):323‐35.

French 2003

French SA, Stables G. Environmental interventions to promote vegetable and fruit consumption among youth in school settings. Preventive Medicine 2003;37(6 Pt 1):593‐610.

Hartley 2013

Hartley L, Iabinedion E, Holmes J, Flowers N, Thorogood M, Clarke A, et al. Increased consumption of fruit and vegetables for the primary prevention of cardiovascular diseases. Cochrane Database of Systematic Reviews 2013, Issue 6. [DOI: 10.1002/14651858.CD009874.pub2]

Hector 2008

Hector D, Shrewsbury V. Building solutions for preventing childhood obesity. Module 2: Interventions to increase consumption of fruit and vegetables. NSW Centre for Overweight and Obesity, Sydney2008.

Hendrie 2017

Hendrie GA, Lease HJ, Bowen J, Baird DL, Cox DN. Strategies to increase children's vegetable intake in home and community settings: a systematic review of literature. Maternal & Child Nutrition 2017;13(1):[Epub 29 February 2016]. [DOI: 10.1111/mcn.12276]

Hendy 1999

Hendy HM. Comparison of five teacher actions to encourage children’s new food acceptance. Annals of Behavioral Medicine 1999;21(1):20‐6.

Hesketh 2010

Hesketh KD, Campbell KJ. Interventions to prevent obesity in 0‐5 year olds: an updated systematic review of the literature. Obesity 2010;18(Suppl. 1):S27‐35.

Higgins 2003

Higgins JPT, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta‐analyses. BMJ 2003;327:557‐60.

Higgins 2011

Higgins JPT, Green S, editor(s). Cochrane Handbook for Systematic Reviews of Interventions Version 5.1.0 (updated March 2011). The Cochrane Collaboration, 2011. Available from www.handbook.cochrane.org.

Hopewell 2008

Hopewell S, Wolfenden L, Clarke M. A survey of adverse event reporting in systematic reviews. Journal of Clinical Epidemiology 2008;61(6):597‐602.

Howerton 2007

Howerton MW, Bell S, Dodd KW, Berrigan D, Stolzenberg‐Solomon R, Nebeling L. School‐based nutrition programs produced a moderate increase in fruit and vegetable consumption: Meta and pooling analyses from 7 studies. Journal of Nutrition Education and Behavior 2007;39:186‐96.

Inchley 2016

Inchley J, Currie D, Young T, Samdal O, Torsheim T, Augustson L, et al. Growing up unequal: gender and socioeconomic differences in young people's health and well‐being. Health Behaviour in School‐aged Children (HBSC) study: international report from the 2013/2014 survey. Copenhagen: WHO Regional Office for Europe, 2016.

Jaime 2009

Jaime PC, Lock K. Do school based food and nutrition policies improve diet and reduce obesity?. Preventive Medicine 2009;48(1):45‐53.

Jones 2011

Jones R, Sinn N, Campbell KJ, Hesketh K, Denney‐Wilson E, Morgan PJ, et al. The importance of long‐term follow‐up in child and adolescent obesity prevention interventions. International Journal of Pediatric Obesity 2011;6(3‐4):178‐81.

Klepp 2005

Klepp KI, Pérez‐Rodrigo C, De Bourdeaudhuij I, Due PP, Elmadfa I, Haraldsdóttir J, et al. Promoting fruit and vegetable consumption among European schoolchildren: rationale, conceptualization and design of the Pro Children Project. Annals of Nutrition and Metabolism 2005;49(4):212‐20.

Knai 2006

Knai C, Pomerleau J, Lock K, McKee M. Getting children to eat more fruit and vegetables: A systematic review. Preventive Medicine 2006;42(2):85‐95.

Lapinleimu 1995

Lapinleimu H, Viikari J, Jokinen E, Salo P, Routi T, Leino A, et al. Prospective randomised trial in 1062 infants of diet low in saturated fat and cholesterol. Lancet 1995;345(8948):471‐6.

Lefebvre 2011

Lefebvre C, Manheimer E, Glanville J. Chapter 6: Searching for studies. In: Higgins JPT, Green S, editor(s). Cochrane Handbook for Systematic Reviews of Interventions Version 5.1.0 (updated March 2011). The Cochrane Collaboration, 2011. Available from handbook.cochrane.org. Version 5.1.0. The Cochrane Collaboration, 2011.

Lien 2001

Lien N, Lytle L, Klepp KI. Stability in consumption of fruit, vegetables and sugary foods in a cohort from age 14 to 21. Preventive Medicine 2001;33(3):217‐26.

Lock 2005

Lock K, Pomerleau J, Causer L, Altmann DR, McKee M. The global burden of disease attributable to low consumption of fruit and vegetables: implications for the global strategy on diet. Bulletin of the World Health Organization 2005;83(2):100‐8.

Maynard 2003

Maynard M, Gunnell D, Emmett PM, Frankel S, Davey Smith G. Fruit, vegetables, and antioxidants in childhood and risk of adult cancer: the Boyd Orr cohort. Journal of Epidemiology and Community Health 2003;57(3):218‐25.

Micha 2015

Micha R, Khatibzadeh S, Shi P, Global Burden of Diseases Nutrition and Chronic Diseases Expert Group. Global, regional and national consumption of major food groups in 1990 and 2010: a systematic analysis including 266 country‐specific nutrition surveys worldwide. BMJ 2015;5:e008705.

Mikkilä 2004

Mikkilä V, Räsänen L, Raitakari OT, Pietinen P, Viikari J. Longitudinal changes in diet from childhood into adulthood with respect to risk of cardiovascular diseases: The Cardiovascular Risk in Young Finns Study. European Journal of Clinical Nutrition 2004;58(7):1038‐45.

Miller 2000

Miller M, Stafford H. An Intervention Portfolio to Promote Fruit and Vegetable Consumption: The Process and Portfolio. Melbourne: National Public Health Partnership, 2000.

National Cancer Institute 2015

National Cancer Institute. Usual Dietary Intakes: Food Intakes, US Population, 2007‐10. Usual Dietary Intakes: Food Intakes, US Population, 2007‐10. US, National Cancer Institute, 2015.

National Health and Medical Research Council

National Health and Medical Research Council. Australian Dietary Guidelines. Canberra: National Health and Medical Research Council, 2013.

Ness 2005

Ness AR, Maynard M, Frankel S, Smith GD, Frobisher C, Leary SD, et al. Diet in childhood and adult cardiovascular and all cause mortality: the Boyd Orr cohort. Heart 2005;91(7):894‐8.

Pearson 2008

Pearson N, Biddle SJH, Gorely T. Family correlates of fruit and vegetable consumption in children and adolescents: a systematic review. Public Health Nutrition 2008;12(2):267‐83.

Peters 2012

Peters Jacqueline, Sinn Natalie, Campbell Karen, Lynch John. Parental influences on the diets of 2–5‐year‐old children: systematic review of interventions. Early Child Development and Care 2012;182:837‐57.

Peñalvo 2013a

Peñalvo JL, Santos‐Beneit G, Sotos‐Prieto M, Martínez R, Rodríguez C, Franco M, et al. A cluster randomized trial to evaluate the efficacy of a school‐based behavioral intervention for health promotion among children aged 3 to 5. BMC Public Health 2013;13:656.

Peñalvo 2013b

Penalvo JL, Sotos‐Prieto M, Santos‐Beneit G, Pocock S, Redondo J, Fuster V. The Program SI! intervention for enhancing a healthy lifestyle in preschoolers: first results from a cluster randomized trial. BMC Public Health 2013;13:1208.

Peñalvo 2015

Peñalvo J L, Santos‐Beneit G, Sotos‐Prieto M, Bodega P, Oliva B, Orrit X, et al. The SI! program for cardiovascular health promotion in early childhood: a cluster‐randomized trial. Journal of the American College of Cardiology 2015;66:1525‐34.

Prochaska 1984

Prochaska JO, DiClimente CC. The Transtheoretical Approach: Crossing Traditional Boundaries of Therapy. Homewood, Illinois: Dow Jones Irwin, 1984.

Rasmussen 2006

Rasmussen M, Krølner R, Klepp KI, Lytle L, Brug J, Bere E, et al. Determinants of fruit and vegetable consumption among children and adolescents: a review of the literature. Part 1: quantitative studies. International Journal of Behavioral Nutrition and Physical Activity 2006;3:22. [DOI: 10.1186/1479‐5868‐3‐22]

Savoie‐Roskos 2017

Savoie‐Roskos MR, Wengreen H, Durward C. Increasing fruit and vegetable intake among children and youth through gardening‐based interventions: a systematic review. Journal of the Academy of Nutrition and Dietetics 2017;117(2):240‐50.

Simmonds (in press)

Simmonds MM, Salanti G, McKenzie J, Elliott JE, Living Systeamtic Review Network. Living Systematic Reviews 3: Statistical methods for updating meta‐analyses. Journal of Clinical Epidemiology (in press).

Tedstone 1998

Tedstone A, Aviles M, Shetty P, Daniels L. Effectiveness of interventions to promote healthy eating in preschool children aged 1 to 5 years: a review. Health Education Authority, London1998; Vol. 65.

U.S. Department of Health and Human Services

U.S. Department of Health and Human Services, U.S. Department of Agriculture. 2015‐2020 Dietary Guidelines for Americans. 8th Edition. Washington: U.S. Department of Health and Human Services, 2015.

Van Cauwenberghe 2010

Van Cauwenberghe E, Maes L, Spittaels H, Van Lenthe FJ, Brug J, Oppert JM, et al. Effectiveness of school‐based interventions in Europe to promote healthy nutrition in children and adolescents: systematic review of published and 'grey' literature. British Journal of Nutrition 2010;103(6):781‐97.

Van der Horst 2007

Van der Horst K, Oenema A, Ferreira I, Wendel‐Vos W, Giskes K, Van Lenthe F, et al. A systematic review of environmental correlates of obesity related dietary behaviors in youth. Health Education Research 2007;22(2):203‐26.

Wallace 2017

Wallace BC, Noel‐Storr A, Marshall IJ, Cohen AM, Smalheiser NR, Thomas J. Identifying reports of randomized controlled trials (RCTs) via a hybrid machine learning and crowdsourcing approach. Journal of the American Medical Informatics Association : JAMIA2017 [Epub ahead of print].

Waters 2011

Waters E, De Silva‐Sanigorski A, Hall BJ, Brown T, Campbell KJ, Gao Y, et al. Interventions for preventing obesity in children. Cochrane Database of Systematic Reviews 2011, Issue 12. [DOI: 10.1002/14651858.CD001871.pub2]

Whitehead 2004

Whitehead WE. Control groups appropriate for behavioral interventions. Gastroenterology 2004;126(1 Suppl 1):S159‐63.

Williams 2004

Williams CL, Strobino BA, Bollella M, Brotanek J. Cardiovascular risk reduction in preschool children: the “Healthy Start” project. Journal of the American College of Nutrition 2004;23(2):117‐23.

Wolfenden 2010b

Wolfenden L, Wiggers J, Tursan d'Espaignet E, Bell AC. How useful are systematic reviews of child obesity interventions. Obesity Reviews 2010;11(2):159‐65.

World Health Organization 2003

World Health Organization. Diet, Nutrition and the Prevention of Chronic Diseases. Report of a Joint FAO/ WHO Expert Consultation. Technical Report Series, No. 916. Geneva: World Health Organization, 2003.

World Health Organization 2004a

Currie C, Roberts C, Morgan A, Smith R, Settertobulte W, Samdal O, et al. Young Peoples Health in Context. Health Behaviour in School‐aged Children (HBSC) Study: International Report from the 2001/2002 Survey. Denmark: World Health Organization, 2004.

World Health Organization 2004b

World Health Organization. Fruit and Vegetables for Health: Report of a Joint FAO / WHO Workshop, 1‐3 September, 2004 Kobe Japan. www.who.int/dietphysicalactivity/publications/fruit_vegetables_report.pdf2004.

World Health Organization 2011

World Health Organization. Global Status Report on Non Communicable Diseases 2010. Geneva: WHO, 2011.

World Health Organization 2017

World Health Organization. Global Strategy on Diet, Physical Activity and Health: Promoting fruit and vegetable consumption around the world. www.who.int/dietphysicalactivity/fruit/en/ (accessed 31st August 2017).

Yngve 2005

Yngve A, Wolf A, Poortvliet E, Elmadfa I, Brug J, Ehrenblad B, et al. Fruit and vegetable intake in a sample of 11 year old children in 9 European countries: the Pro Children cross‐sectional Survey. Annals of Nutrition and Metabolism 2005;49(4):236‐45.

Hodder 2017

Hodder RK, Stacey FG, Wyse RJ, O'Brien KM, Clinton‐McHarg T, Tzelepis F, et al. Interventions for increasing fruit and vegetable consumption in children aged five years and under. Cochrane Database of Systematic Reviews 2017, Issue 9. [DOI: 10.1002/14651858.CD008552.pub3]

Hodder 2018

Hodder RK, Stacey FG, O'Brien KM, Wyse RJ, Clinton‐McHarg T, Tzelepis F, et al. Interventions for increasing fruit and vegetable consumption in children aged five years and under. Cochrane Database of Systematic Reviews 2018, Issue 1. [DOI: 10.1002/14651858.CD008552.pub4]

Wolfenden 2010a

Wolfenden L, Wyse RJ, Britton BI, Campbell KJ, Hodder RK, Stacey FG, et al. Interventions for increasing fruit and vegetable consumption in preschool aged children. Cochrane Database of Systematic Reviews 2010, Issue 6. [DOI: 10.1002/14651858.CD008552]

Wolfenden 2012

Wolfenden L, Wyse RJ, Britton BI, Campbell KJ, Hodder RK, Stacey FG, et al. Interventions for increasing fruit and vegetable consumption in children aged 5 years and under. Cochrane Database of Systematic Reviews 2012, Issue 11. [DOI: 10.1002/14651858.CD008552.pub2]

Characteristics of studies

Characteristics of included studies [ordered by study ID]

Anzman‐Frasca 2012

Methods

Study design:

Randomised controlled trial

Funding:

Not reported

Participants

Description:

Children aged 3 to 6 years attending an independent childcare facility in Central Pennsylvania, USA

N (Randomised):

47 children

Age:

3 to 6 years (mean = 4.7 years)

% Female:

51%

SES and ethnicity:

Children: White = 83%, Asian = 10%

Parents: “Most parents were well‐educated (median education = bachelor’s degree) and were currently employed. The majority of parents reported being married (88%), and the majority of the families reported annual combined family incomes greater than $60,000 (89%).”

Inclusion/exclusion criteria:

No explicit inclusion criteria stated for this trial

Exclusion criteria: “Children were excluded if they had intolerance to study foods, a chronic illness affecting food intake, or if they were non‐English speaking. Additionally, individuals with extended absences were excluded from the results.”

Recruitment:

Not specified

Recruitment rate:

Unknown

Region:

Central Pennsylvania (USA)

Interventions

Number of experimental conditions: 2

Number of participants (analysed):

41 (not specified by group)

Description of intervention:

“All children in each classroom received the same vegetable throughout the study”.

“children were asked twice weekly over a period of 4 weeks to take of taste of a very small portion (˜4 g) of the vegetable in its assigned condition.”

Repeated exposure: Vegetable intake without dip

Flavor‐flavor associative conditioning: Vegetable intake with dip. “Dips served in this experiment included two savory dips (ketchup and ranch‐flavored) and one sweet‐tasting dip (cinnamon sugar)”

Duration:

4 weeks

Number of contacts:

8 exposure sessions (2 exposures/week)

Setting:

Preschool

Modality:

Face‐to‐face

Interventionist:

Research staff

Integrity:

No information provided

Date of study:

Unknown

Description of control:

NA

Outcomes

Outcome relating to children's fruit and vegetable consumption:

Consumption of target vegetable (grams). Children were served a bowl containing 60 g of the vegetable, and children in the AC condition were also served ˜60 g of dip in 3.25 oz soufflé cups, which accompanied the vegetable…. Instructions to children prior to the meal were to eat as much as they wanted, not to share food with others, and to remain in their seats…. When children finished snack, spilled or dropped foods were returned to the correct dish and snack trays were cleared. Vegetables were weighed before serving and were weighed after the intake session was complete, and the difference was recorded as vegetable intake.”

Outcome relating to absolute costs/cost effectiveness of interventions:

Not reported

Outcome relating to reported adverse events:

Not reported

Length of follow‐up from baseline:

9 weeks

Length of follow‐up post‐intervention:

2 weeks

Subgroup analyses:

None

Loss to follow‐up:

There was no loss to follow‐up

Analysis:

Unknown if sample size calculation was performed.

Notes

Sensitivity analysis ‐ primary outcome: Primary outcome not stated. Child fruit and vegetable intake 2nd listed outcome measure

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Randomly allocated to experimental group but the random sequence generation procedure is not described

Allocation concealment (selection bias)

Unclear risk

There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Participants were not blinded and it seems likely that children may have been influenced by those children around them and whether or not other children had a flavoured dip

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Food was weighed and it is unlikely to be influenced by whether the researchers were blinded to condition

Incomplete outcome data (attrition bias)
All outcomes

Low risk

There does not appear to be any attrition and therefore low risk of attrition bias

Selective reporting (reporting bias)

Unclear risk

There is no study protocol so it is unclear if there was selective outcome reporting

Other bias

Low risk

Contamination, baseline imbalance, & other bias that could threaten the internal validity are unlikely to be an issue

Barends 2013

Methods

Study design:

Randomised controlled trial

Funding:

“This project was funded by Wageningen University and Research Centre.”

Participants

Description:

Healthy infants between 4 and 7 months (not being weaned yet) and their parent

N (Randomised):

101 parent‐infant pairs

Age:

Child (mean): Green beans group = 162 days, Artichoke group = 160 days, Apple group = 165 days,

Plum group = 162 days

Mother (mean): Green beans group = 31 years, Artichoke group = 30 years, Apple group = 31 years, Plum group = 32 years

% Female:

Child: Green beans group = 54%, Artichoke group = 41%, Apple group = 56%, Plum group = 44%

Parent: 96%

SES and ethnicity:

Parents education: Low = 17%, middle = 32%, high = 50%

Inclusion/exclusion criteria:

Inclusion criteria: “Only healthy Children between 4 and 7 months old, who were not being weaned yet, were included in the study.”

Exclusion criteria: “Children with known food allergies, swallowing or digestion problems, or other medical problems that could influence the ability to eat, were excluded.”

Recruitment:

“The participants were recruited from the area of Wageningen and Almere in the Netherlands where both the research locations were. They were recruited via local newspapers, maternity or children welfare centers, postnatal care groups, and a mailing to subscribers of babyinfo.nl (a Dutch advertisement website that gives a box with free products for subscribers expecting a baby).”

Recruitment rate:

Unknown

Region:

Wageningen and Almere (The Netherlands)

Interventions

Number of experimental conditions: 4

Number of participants (analysed):

Green beans group = 24

Artichoke group = 27

Apple group = 24

Plum group = 24

Description of intervention:

At the lab (days 1,2,17,18 and 19): “A bowl with two jars of vegetable purée was handed to the mother and the mother fed the infant at their usual rate until the end of the feeding was indicated by the infant (i.e. when it rejected the spoon more than three successive times).”

At the home (days 3 ‐ 16): “At the end of the 2nd test‐day at the lab, the mothers received the jars of puréed vegetables or fruits for the home exposure period. Each jar was labelled with the date on which it had to be fed to the infant and numbered from 3 to 16 corresponding to the respective days of the intervention period. The feeding was carried out every day at about the same time and in the same way as during days 1 and 2 in the lab.”

Duration:

19 days

Number of contacts:

9 exposure sessions

Setting:

Lab and home

Modality:

Face‐to‐face

Interventionist:

Researchers trained parents to offer the target vegetable or fruit puree to their child

Integrity:

No information provided

Date of study:

Unknown

Description of control:

N/A

Outcomes

Outcome relating to children's fruit and vegetable consumption:

Consumption of target vegetable and fruit purees (grams).

At the lab: “The pre‐ and post‐weight of the bowl including the spoon and bib was weighted to measure the actual intake.”

At the home: “The mother was instructed to empty both jars completely on a plate and to put all what was left over after the feeding, including the vegetable purée that was spilled on the table, floor, bib, child’s face, etc., back in the jar and to seal the jar with the lid and put it in the refrigerator…. In order to have a standardized measure of home intake, the jars had been pre‐weighted in the lab before the home exposure period, and after they were collected and were post‐weighted again in the lab.”

Outcome relating to absolute costs/cost effectiveness of interventions:

Not reported

Outcome relating to reported adverse events:

Not reported

Length of follow‐up from baseline:

19 days

Length of follow‐up post‐intervention:

Immediately

Subgroup analyses:

None

Loss to follow‐up:

Overall = 2% (not specified by group)

Analysis:

Unknown if sample size calculation was performed

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Randomly allocated to experimental group but the random sequence generation procedure is not described

Allocation concealment (selection bias)

Unclear risk

There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed

Blinding of participants and personnel (performance bias)
All outcomes

High risk

There is no indication whether the mother who fed the child was blind to group allocation. Given the mother fed the child, at high risk of performance bias

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

There is no indication whether the mother who fed the child and weighed the food was blinded to group allocation. Given the food was weighed by the mother the risk of detection bias is unclear

Incomplete outcome data (attrition bias)
All outcomes

Low risk

94% retention and therefore risk of attrition bias is low

Selective reporting (reporting bias)

Unclear risk

There is no study protocol, therefore it is unclear if there was selective outcome reporting

Other bias

Low risk

Contamination, baseline imbalance, & other bias that could threaten the internal validity are unlikely to be an issue

Baskale 2011

Methods

Study design:

Cluster‐randomised controlled trial

Funding:

“No external or intramural funding was received.”

Participants

Description:

Children 5 years of age in 12 nursery schools connected to the Izmir Provincial Directorate of National Education

N (Randomised):

6 preschools, 238 children

Age:

Child: 5 years of age

Mother (mean): Intervention = 33.4 years, Control = 33.4 years

Father (mean): Intervention = 36.9 years, Control = 36.8 years

% Female:

Child: Intervention = 60%, Control = 48%

SES and ethnicity:

Education:

Mother: Primary = 9%, Secondary school = 15%, High school = 38%, University = 38%

Father: Primary = 10%, Secondary school = 14%, High school = 37%, University = 40%

Family SES: Low = 16%, Medium = 73%, Upper = 11%

Inclusion/exclusion criteria:

Not specified

Recruitment:

Not specified

Recruitment rate:

Unknown

Region:

Izmir (Turkey)

Interventions

Number of experimental conditions: 2

Number of participants (analysed):

Intervention = 141, Control = 97

Description of intervention:

“The content of the education guided by Piaget’s theory included play and visual materials. Thus, healthy food choices were created by means of play/games. Following age‐appropriate education carried out using Piaget’s theory, improvements are observed in food selection and consumption”

Duration:

Initial intervention = 6 weeks + at 1 year follow‐up a 3 week refresher intervention (20 ‐ 30 minutes per session)

Number of contacts:

9 sessions (1 per week)

Setting:

Preschool

Modality:

Face‐to‐face

Interventionist:

“The researcher (H.B.), who is a nurse educator, was the interventionist for all sessions.”

Integrity:

No information provided

Date of study:

February 2007 to June 2008

Description of control:

“The children in the control group had not received nutrition education but they had received a general program of education (the nutrition education prescribed by the Ministry of National Education preschool). The yearly syllabus of the Ministry includes subjects on nutrition every 2 months. This time frame, however, may be insufficient for nutrition education.”

Outcomes

Outcome relating to children's fruit and vegetable consumption:

Child’s consumption of fruits and vegetables assessed using food frequency questionnaire (FFQ) completed by parents

Outcome relating to absolute costs/cost effectiveness of interventions:

Not reported

Outcome relating to reported adverse events:

Not reported

Length of follow‐up from baseline:

Post‐test: 4 months (pre‐test February 2007 – post‐test June 2007)

Post‐test 2: 16 months (post‐test 2 June 2008)

Length of follow‐up post‐intervention:

Post‐test: 2 months

Post‐test 2: 14 months

Subgroup analyses:

None

Loss to follow‐up (at 2 and 14 months)

Intervention: 1%, 52%

Control: 9%, 51%

Analysis:

Unclear

Sample size calculation was performed.

Notes

Sensitivity analysis ‐ primary outcome: Primary outcome not stated, power calculation conducted on knowledge only

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Randomly allocated to experimental group but the random sequence generation procedure is not described

Allocation concealment (selection bias)

Unclear risk

There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Nutrition knowledge & food frequency (self‐reported)

There is no blinding to group allocation of participants or personnel described and this is likely to influence performance

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Nutrition knowledge & food frequency

There is no mention that participants were blinded to group allocation and therefore the risk of detection bias is high

Incomplete outcome data (attrition bias)
All outcomes

High risk

67/141 (48%) in experimental group and 48/97 (49%) in control group completed post‐test 2 and therefore risk of attrition bias is high

Selective reporting (reporting bias)

Unclear risk

There is no study protocol therefore it is unclear if there was selective outcome reporting

Other bias

Low risk

Contamination, baseline imbalance, & other bias that could threaten the internal validity do not appear to be an issue

Black 2011

Methods

Study design:

Randomised controlled trial

Funding:

Not reported

Participants

Description:

Low‐income mother/toddler (12 ‐ 30 months) dyads

N (Randomised):

Unknown

Age:

Child: mean = 20 months

Mother: mean = 27.4 years

% Female:

Child: 59%

SES and ethnicity:

“67.3% below poverty index, 34% married, 68% black”

Inclusion/exclusion criteria:

Low‐income mother (criteria not stated) with toddler 12 ‐ 30 months

Recruitment:

Recruited from WIC (Women, Infants and Children) Clinics

Recruitment rate:

Unknown

Region:

USA

Interventions

Number of experimental conditions: 3

Number of participants (analysed):

Preliminary = 151

Description of intervention:

“Interventions (5 group & 3 individual sessions) used goal setting to promote: 1) parenting practices or 2) maternal diet and physical activity (PA)"

Duration:

Not specified

Number of contacts:

Not specified

Setting:

WIC Clinic

Modality:

Face‐to‐face

Interventionist:

Unclear

Integrity:

No information provided

Date of study:

Unknown

Description of control:

Placebo group, sessions provided on toddler safety.

Outcomes

Outcome relating to children's fruit and vegetable consumption:

Change in vegetable and fruit intake (mypyramid equivalent per 1000 kcal) assessed using 24‐hour diet recall completed by parents

Outcome relating to absolute costs/cost effectiveness of interventions:

Not reported

Outcome relating to reported adverse events:

Not reported

Length of follow‐up from baseline:

6 and 12 months

Length of follow‐up post‐intervention:

Unclear

Subgroup analyses:

None

Loss to follow‐up:

Unknown

Analysis:

Unknown if sample size calculation was performed.

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Randomly allocated to experimental group but the random sequence generation procedure is not described

Allocation concealment (selection bias)

Unclear risk

There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed

Blinding of participants and personnel (performance bias)
All outcomes

High risk

24‐hour diet recall

There is no blinding to group allocation of participants or personnel described and this is likely to influence performance

Blinding of outcome assessment (detection bias)
All outcomes

High risk

24‐hour diet recall

There is no mention that participants were blinded to group allocation and therefore the risk of detection bias is high

Incomplete outcome data (attrition bias)
All outcomes

Unclear risk

There is no information provided about attrition rates at follow‐up

Selective reporting (reporting bias)

Unclear risk

There is no study protocol therefore it is unclear if there was selective outcome reporting

Other bias

Unclear risk

There is insufficient information to determine the risk of other bias

Blissett 2016

Methods

Study design:

Randomised controlled trial

Funding:

“Funded by the Feeding For Life Foundation (grant reference number 11‐1170). ”

Participants

Description:

Children aged 2 to 4 years and their principle caregiver (parent)

N (Randomised):

120 parent‐child dyads

Age:

Child (mean): Prompting no modelling = 27 months, Prompting and modelling = 29 months, Modelling ‘control’ group = 31 months

Mothers (mean): Prompting no modelling = 34 years, Prompting and modelling = 26 years, Modelling ‘control’ group = 35 years

% Female:

Child: 45%

Parent: 98%

SES and ethnicity:

Not specified

Inclusion/exclusion criteria:

“Inclusion criteria for children included the absence of known food allergies or disorders affecting eating, current or recent major illness or diagnosed intellectual disabilities.”

Recruitment:

“Caregivers and their children were recruited through the Children and Child Laboratory database, which contains information on families in which caregivers have indicated an interest in research participation at the University of Birmingham.”

Recruitment rate:

Unknown

Region:

UK

Interventions

Number of experimental conditions: 3

Number of participants (analysed):

Prompting no modelling = 35 dyads

Prompting and modelling = 37 dyads

Modelling ‘control’ group = 27 dyads

Description of intervention:

Prompting no modelling: “Caregivers were asked to use physical prompts to eat the novel fruit (NF) (including passing the food to the child, moving the food towards the child, holding the NF up to the child’s face, encouraging the child to touch the NF).”

Prompting and modelling: As well as using physical prompts as in PNM, “The caregivers assigned to this condition were also asked to try the NF themselves.”

Modelling ‘control’ group: “Caregivers in this condition were not given any information about prompting, but were simply asked to taste the NF themselves.”

Duration:

1 day

Number of contacts:

1

Setting:

Lab

Modality:

Face‐to‐face

Interventionist:

Parents

Integrity:

Prompting no modelling: “Of an original sample of fifty, fifteen were classed as non‐compliant: ten caregivers failed to prompt a minimum of three times, and five caregivers were removed from the group because they ate the NF. This left a sample of thirty‐five parents who physically prompted but did not model eating the fruit.”

Prompting and modelling: “Of an original sample of forty‐three dyads, six were non‐compliant because the parent failed to prompt three times or more, leaving a sample of thirty‐seven parents who prompted and modelled eating the fruit.”

Modelling ‘control’ group: “There were twenty‐seven dyads in this condition, in which the parent modelled eating of the fruit; all were compliant with this request.”

Date of study:

Unknown

Description of control:

N/A

Outcomes

Outcome relating to children's fruit and vegetable consumption:

Consumption of novel fruit (grams): “All meal items were weighed on scientific scales before and after consumption.”

“Owing to differences in weights of the different NF offered, it was not possible to compare conditions based on simple weight of consumption. Therefore, we calculated consumption of the NF based on the percentage consumed of the whole portion offered.”

Outcome relating to absolute costs/cost effectiveness of interventions:

Not reported

Outcome relating to reported adverse events:

Not reported

Length of follow‐up from baseline:

< 1 day

Length of follow‐up post‐intervention:

Same day

Subgroup analyses:

None

Loss to follow‐up:

Prompting no modelling: 30%

Prompting and modelling: 14%

Modelling ‘control’ group: No loss to follow‐up

Analysis:

Unknown if sample size calculation was performed

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

The random sequence generation procedure is unclear. The authors indicate that block randomisation was used to allocate to groups in blocks of 10 participants with conditions changing each week, allocated in order of recruitment

Allocation concealment (selection bias)

Unclear risk

There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

Fruit intake is an objective measure of child’s fruit intake and unlikely to be influenced by performance bias

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Fruit intake

All meals were weighed on scientific scales before and after consumption therefore at low risk of detection bias

Incomplete outcome data (attrition bias)
All outcomes

High risk

Used a per‐protocol analysis rather than an intention‐to‐treat analysis and therefore at high risk of attrition bias

Selective reporting (reporting bias)

Unclear risk

There is no study protocol therefore it is unclear if there was selective outcome reporting

Other bias

Unclear risk

There was a significant difference in children’s ages and child’s age was controlled for in analyses. Therefore the risk of other bias is unclear

Campbell 2013

Methods

Study design:

Cluster‐randomised controlled trial

Funding:

“National Health and Medical Research Council Grant No. 425801"

Participants

Description:

First‐time mothers and their infants

N (Randomised):

62 parent groups, 542 parent‐child pairs

Age:

Child (mean): Intervention = 3.9 months, Control = 3.9 months

Parent (mean): Intervention = 32.5 years, Control = 32.1 years

% Female:

Intervention = 48%, Control = 47%

SES and ethnicity:

Parent:

Education level (Completed university degree or beyond): Intervention = 52%, Control = 57%

Born in Australia: Intervention = 78%, Control = 78%

Inclusion/exclusion criteria:

Parent groups:

Inclusion criteria: “Parent groups were eligible if ≥8 parents enrolled or ≥6 parents enrolled in areas of low socioeconomic position (SEP) because mothers in areas of low SEP are less likely to attend first‐time parent groups.”

No explicit exclusion criteria stated for this trial

Parents:

Inclusion criteria: “Parents will be eligible to participate if they are able to freely give informed consent, are first‐time parents, members of a participating 'first‐time parents group' and are able to communicate in English.”

Exclusion criteria: “Parents will be excluded from the study if they are unable to give informed consent or are unable to communicate in English. Infants with chronic health problems that are likely to influence height, weight, levels of physical activity or eating habits will be excluded from analyses but will be permitted to participate in the study.”

Recruitment:

“A two‐stage random sampling process will be used to select first‐time parent groups. At the first stage, twelve local government areas within a 60 km radius of the research centre (Deakin University in Burwood, Victoria, Australia) will be randomly selected.”

“At the second stage, first‐time parent groups within selected local government areas will be randomly selected, proportional to the total number of first‐time parent groups within each area. The first‐time parents group currently underway will then be invited to participate.”

Recruitment rate:

Parent: 86% (542/630)

Region:

Melbourne (Australia)

Interventions

Number of experimental conditions: 2

Number of participants (analysed):

Intervention = 195, Control = 194

Description of intervention:

“The dietitian‐delivered intervention comprised six 2‐hour sessions delivered quarterly during the first‐time parents’ group regular meeting.”

The intervention “sought to build knowledge, skills, and social support regarding infant feeding, physical activity, and sedentary behaviors. Messages were anticipatory in nature, such that concepts were presented before the associated child developmental phase.”

“Intervention materials incorporated 6 purpose‐designed key messages (for example, “Color Every Meal With Fruit and Veg,” “Eat Together, Play Together,” “Off and Running”) within a purpose‐designed DVD and written materials. A newsletter reinforcing key messages was sent to participants between sessions.”

Duration:

15 months

Number of contacts:

6 sessions at 3‐monthly intervals (2 hours per session)

Setting:

Parenting group

Modality:

Multiple (face‐to‐face, visual and written materials)

Interventionist:

Experienced Dietitian

Integrity:

“Program fidelity was audited via checklists by researchers attending but not delivering the intervention.” No further information reported

Date of study:

June 2008 to February 2010

Description of control:

“Control parents received usual care from their MCH nurse, who may have provided lifestyle advice.”

Outcomes

Outcome relating to children's fruit and vegetable consumption:

Child’s consumption of fruits and vegetable (grams) assessed using 3 x 24hr recalls (3 days, including 1 weekend day) conducted by trained nutritionists via telephone interview with parents

Outcome relating to absolute costs/cost effectiveness of interventions:

Intervention cost per family reported that adjusted “for the fact that a trial setting sees an artificially small number of families included relative to the workforce employed”

Outcome relating to reported adverse events:

Not reported

Length of follow‐up from baseline:

6 (mid‐intervention) and 15 months (post‐intervention)

Length of follow‐up post‐intervention:

Immediately

Subgroup analyses:

None

Loss to follow‐up (Immediately post‐intervention):

Intervention = 28%

Control = 28%

Analysis:

Adjusted for clustering.

Sample size calculation was performed.

Notes

First reported outcome (grams fruit/day) was extracted for inclusion in the meta‐analysis. Sample size per group was not reported and instead calculated based on assumption of equal loss to follow‐up per group, and reported baseline sample per group and total sample for diet outcomes at follow‐up.

Sensitivity analysis ‐ primary outcome: Primary outcome not stated, however power calculation was conducted on fruit or vegetable intake

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Randomly allocated to condition using a computer‐generated random number schedule developed by a statistician with no contact with the centres

Allocation concealment (selection bias)

Unclear risk

There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed

Blinding of participants and personnel (performance bias)
All outcomes

High risk

24‐hour dietary recall (parent reported)

Parents were not blinded to group allocation and therefore the risk of performance bias is high

Blinding of outcome assessment (detection bias)
All outcomes

High risk

24‐hour dietary recall (parent reported)

Parents were not blinded to group allocation and because this is a self‐reported measure the risk of detection bias is high, even though the dietary recalls were administered by telephone by staff blinded to participant’s group allocation

Incomplete outcome data (attrition bias)
All outcomes

Unclear risk

389/542 (72%) completed the diet outcomes during this long‐term assessment. However the number and reasons for dropout is not reported by study group and so cannot establish if reasons for dropouts are similar across groups

Selective reporting (reporting bias)

High risk

There are physical activity outcomes referred to in the protocol that are not reported

Other bias

Low risk

There are no differences in baseline characteristics between trial arms & contamination and other bias unlikely to be an issue

Caton 2013

Methods

Study design:

Randomised controlled trial

Funding:

"This research has received funding from the European Community’s Seventh Framework Programme (FP7/2007‐3) under grant agreement no. 245012‐HabEat coordinated by Dr Sylvie Issanchou. (INRA, UMR 1324, Centre de Sciences du Gouˆt et de l’Alimentation, F‐21000 Dijon France)."

Participants

Description:

Children aged 6 to 36 months in private daycare nurseries in West and South Yorkshire, UK

N (Randomised):

Unclear “Of the 108 recruited, fourteen children were excluded due to food allergies (n 3) and for being older than 40 months (n 11). Of the ninety‐four children, six children refused to take part in the study, fifteen were excluded due to lack of attendance at nursery and one was removed for incomplete exposures. Table 2 provides characteristics of the children who took part in the intervention. Out of the potential sample, seventy‐two completed the Study.”

Age:

Mean: Repeated exposure = 24 months, Flavour‐flavour learning = 23 months, Flavour‐nutrient learning = 24 months

% Female:

Repeated exposure = 55%, Flavour‐flavour learning = 48%, Flavour‐nutrient learning = 68%

SES and ethnicity:

Unclear, “to ensure good representation of ethnic background and SES we selected nurseries in a variety of different locations in West and South Yorkshire, UK”

Inclusion/exclusion criteria:

No explicit inclusion criteria stated for this trial

“All children reported to have any food allergies were excluded from taking part in the investigation.”

Recruitment:

“In the first instance, nursery managers were given details of the study to check their interest in the study. If the nursery managers expressed an interest, then the participant information sheets and consent forms were distributed to parents.”

Recruitment rate:

Unknown

Region:

West and South Yorkshire (UK)

Interventions

Number of experimental conditions: 3

Number of participants (analysed):

Repeated exposure = 22

Flavour‐flavour learning = 25

Flavour‐nutrient learning = 25

Description of intervention:

“Around 2–4 d after the pre‐intervention period, each child was offered one pot (100 g) of artichoke for ten exposures.”

Repeated exposure: “The RE recipe was a basic vegetable puree.”

Flavour‐flavour learning: “For the FFL puree, the chosen unconditioned stimulus was sweetness. The selected sweet ingredient was sucrose.”

Flavour‐nutrient learning: “For the FNL puree, the chosen unconditioned stimulus was a higher energy density. The selected energy‐dense ingredient was sunflower oil, because of its relatively neutral taste.”

Duration:

10 days

Number of contacts:

10

Setting:

Preschool

Modality:

Face‐to‐face

Interventionist:

Nursery staff

Integrity:

No information provided

Date of study:

Recruitment took place February – May 2011

Description of control:

N/A

Outcomes

Outcome relating to children's fruit and vegetable consumption:

Consumption of novel vegetable (artichoke) (grams) and changes in intake (grams) between a familiar (carrot) and novel vegetable (artichoke)

“All pots were weighed before and after to determine intake (g) throughout the experiment. Any spillage on tables and bibs were collected after the session and were added back in to the pots before re‐weighing.”

Outcome relating to absolute costs/cost effectiveness of interventions:

Not reported

Outcome relating to reported adverse events:

Not reported

Length of follow‐up from baseline:

Unclear

Length of follow‐up post‐intervention:

5 weeks

Subgroup analyses:

None

Loss to follow‐up:

Repeated exposure = 27%

Flavour‐flavour learning = 40%

Flavour‐nutrient learning = 46%

Analysis:

Unknown if sample size calculation was performed.

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Randomly allocated to experimental group but the random sequence generation procedure is not described

Allocation concealment (selection bias)

Unclear risk

There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

Vegetable intake (objective)

Objective measure of child’s vegetable intake and staff were blinded to the target vegetable being offered to the children

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Vegetable intake (objective)

Food was weighed to determine intake and staff were blinded to the target vegetable being offered to the children

Incomplete outcome data (attrition bias)
All outcomes

High risk

Of the 72 children taking part in the study 45 (63%) completed the follow‐up and so the risk of attrition bias is high

Selective reporting (reporting bias)

Unclear risk

There is no study protocol therefore it is unclear if there was selective outcome reporting

Other bias

Low risk

Contamination, baseline imbalance, & other bias that could threaten the internal validity are unlikely to be an issue

Cohen 1995

Methods

Study design:

Randomised controlled trial

Funding:

“Supported jointly by the Thrasher Research Fund; the World Health Organization; UNICEF/Honduras and the Institute for Reproductive Health (formerly the Institute for International Studies in Natural Family Planning), Georgetown University, under a Co‐operative Agreement with the U.S. Agency for International Development (A.I.D.) (DPE‐3040‐A‐00‐5064‐00 and DPE‐3061‐A‐00‐1029‐00).”s

Participants

Description:

Low income, first time mothers and their infants

N (Randomised):

152 children

Age:

Infants: Infants were randomised at 16 weeks of age

Mother (mean): 20.2 years

% Female:

55%

SES and ethnicity:

“Subjects came from low income neighborhoods in which environmental sanitation was poor (only 60% of the households had indoor piped water). Mean household income was $120/mo.”

Inclusion/exclusion criteria:

Inclusion criteria: “Selection criteria were that mothers be primiparous, willing to exclusively breast‐feed for 26 wk, not employed outside the home prior to 6 mo postpartum, low income (less than $150/mo), at least 16 years old and healthy (not taking medication on a regular basis), and that infants be healthy, term, and weigh at least 2000g at birth.”

Exclusion criteria: “Multiparous and working mothers were excluded because the intervention required a 3‐d stay in the La Leche League unit on three occasions to measure breast milk intake.”

Recruitment:

“Subjects were recruited from two public hospitals in San Pedro Sula, Honduras”

Recruitment rate:

86% (152/176)

Region:

San Pedro Sula, Honduras

Interventions

Number of experimental conditions: 3

Number of participants (analysed):

Solid foods: 42

Solid foods + maintenance: 39

Exclusive breast‐feeding: 42

Description of intervention:

Solid foods: introduction of solid foods at 4 months, with breast‐feeding as required 4‐6 months.

Solids foods + maintenance: introduction of solid foods at 4 months, with mothers told to continue breast‐feeding as often as they had prior to the intervention.

Exclusive breast‐feeding: exclusive breast‐feeding to 6 months; no other liquids (water, milk, formula) or solids

In addition all mothers:

1. Stayed at the la Leche League unit at 16 weeks for 3‐days and returned to the unit at weeks 21 and 26 weeks for repeated measurements.

2. Received weekly home visits during the intervention period to collect data on breast‐feeding and infant morbidity.

In the solid food groups these weekly visits also were used to monitor use of the foods provided and encourage mothers in the maintenance group to maintain their re‐intervention breast‐feeding frequency.

Duration:

2 months

Number of contacts:

13 (10 weekly home visits + 5 hospital visits)

Setting:

Home + hospital

Modality:

Face‐to‐face

Interventionist:

Mothers

Integrity:

“To encourage compliance with study procedures, mothers recorded the number of breastfeeds each day from 16 to 26 weeks on a simple form provided weekly. This was especially important for the SF‐M mothers, who were asked to maintain breastfeeding frequency. At 19 and 24 weeks, 12‐hour in‐home observations were conducted to record breastfeeding frequency and duration, and adherence to the feeding instructions.”

Date of study:

Recruited from October 1991‐January 1993

Description of control:

N/A

Outcomes

Outcome relating to children's fruit and vegetable consumption:

Consumption of fruit (grams): “the amount of food offered and consumed at the midday meal was measured (using an electronic scale, to the nearest gram)”

Outcome relating to absolute costs/cost‐effectiveness of interventions:

Not reported

Outcome relating to reported adverse events:

Not reported

Length of follow‐up from baseline:

9 and 12 months

Length of follow‐up post‐intervention:

2.5 and 5.5 months

Subgroup analyses:

None

Loss to follow‐up (at 9 and 12 months):

Unclear ‐ states “for a subsample of infants, n=60 at 9 months and n= 123 at 12 months”

Analysis:

Unknown if sample size calculation was performed

Notes

First reported outcome (frequency of consuming fruit) at 9 months for the < 12 months was extracted for inclusion in meta‐analysis.

Sensitivity analysis ‐ primary outcome: primary outcome not stated, fruit or vegetable consumption was not first reported outcome (first reported outcome was dairy).

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

High risk

"At 16 wk, subjects were randomly assigned, by week of infant's birth, to one of three groups: 1) Control: Exclusive breast‐feeding to 26 wk (EBF); 2) Solid Foods: Introduction of solid foods at 16 wk (SF), with ad libitum breast‐feeding; or 3) Solid Foods‐M: Introduction of solid foods at 16 wk (SF‐M), with mothers told to continue breast‐feeding as often as they had prior to the intervention.”

Allocated to group by week of birth.

Allocation concealment (selection bias)

Unclear risk

There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed from those conducting the research.

Blinding of participants and personnel (performance bias)
All outcomes

High risk

”Subjects were not informed of their assignment until they had completed the first 16 wk of the study.”

“All women were visited weekly during the first 4 mo postpartum to assist them in maintaining exclusive breast‐feeding.”

Due to the nature of the intervention, both participants and personnel were aware of group allocation after 16 weeks.

Blinding of outcome assessment (detection bias)
All outcomes

High risk

“During the 9‐ and 12‐mo visits, the amount of food offered and consumed at the midday meal was measured (using an electronic scale, to the nearest gram) for a subsample of infants (n = 60 at 9 mo, n = 123 at 12 mo), and their mothers were interviewed regarding the infants' usual daily food intake and acceptance and frequency of consumption of a variety of common foods.”

It is unclear whether outcome assessors visiting the home were aware of group allocation. Mothers self‐reported food intake and acceptance.

Incomplete outcome data (attrition bias)
All outcomes

Unclear risk

“Home visits were conducted for a subsample only (total n=141). 9mth n=60; 12 mth n=123.” Unclear if this is actual subsample or if this reflects attrition/non‐response

It is unclear whether the n value for the subsample represents everyone who was eligible (i.e. had infants younger than 12 months prior to May 1993) with 100% consent rate, or if there were refusals.

Selective reporting (reporting bias)

Unclear risk

There is no trial registration or protocol.

Other bias

Unclear risk

It is unclear how the women were recruited, what the consent rate was, or how representative the sample was of the target population.

Cooke 2011

Methods

Study design:

Cluster‐randomised controlled trial

Funding:

"This research was supported by a grant from the Medical Research Council National Prevention Research Initiative."

Participants

Description: 

422 children in reception (4 to 5 years) and Year 1 (5 to 6 years) from 16 classes in 8 schools.

N (Randomised):

16 classes, 472 children

% Female:

47% female

Age:

Reception: 4 to 5 years (N = 216)

Year 1: 5 to 6 years (N = 206)

SES and ethnicity:             

“To ensure adequate representation of children from families of low socioeconomic status, we selected schools in which the proportions of pupils who were eligible for free school meals, who spoke English as a second language, and who came from minority ethnic backgrounds were above the national average." No individual child data on these variables were reported.

Inclusion/exclusion criteria:     

Not stated

Recruitment:

Recruited from 16 classes in 8 schools (492 children, 472 consented)

Recruitment rate:

Children: 96% (472/492)

Schools: unknown

Region:

United Kingdom

Interventions

Number of experimental conditions: 4

Number of participants (analysed):

Exposure + tangible non‐food reward (sticker) = 99

Exposure + social reward (praise) = 106

Exposure alone = 105

Control = 112

Description of interventions:

“Children in the intervention conditions (ETR, EP, EA)* were seen individually from Day 3 to Day 14 and offered a small piece of their target vegetable.”

Exposure + tangible non‐food reward: “Children in the ETR condition were told that if they tasted the vegetable, they could choose a sticker as a reward.”

Exposure + social reward: “Children in the EP condition were praised if they tasted the vegetable (e.g. “Brilliant, you're a great taster”)

Exposure alone: “Children in the EA condition were invited to taste the target vegetable but received minimal social interaction.”

Duration:

3 weeks

Number of contacts:

12 exposure sessions

Setting:

School

Modality:

Face‐to‐face, exposure

Interventionist:

Trained researchers

Integrity:

“Children in the three intervention groups agreed to taste their target vegetable in most sessions"

Exposure + tangible non‐food reward (sticker): M = 11.34 sessions, SD = 1.45

Exposure + social reward (praise): M = 10.45 sessions, SD = 1.94;

Exposure alone: M = 9.97 sessions,SD = 2.87.

“Post hoc analyses showed higher compliance in the ETR condition than in the EP or EA conditions (p < 0.05), and compliance in the latter two conditions did not differ.”

Date of study:

Unknown

Description of control:

No‐treatment control: “Children in the control group did not receive taste exposure to the target vegetable during the intervention period.”

Outcomes

Outcome relating to children's fruit and vegetable consumption:

As‐desired consumption of target vegetable (grams). The child was then invited to eat as much of the vegetable as he or she wanted, with intake (in grams) assessed by weighing the dish before and after consumption using a digital scale” (NB. “Care was taken to ensure that children in the ETR condition understood that the sticker reward was no longer available.”)

Length of follow‐up from baseline:

Acquisition data: day 15

Maintenance data: 1 month and 3 months later

Subgroup analyses:

None

Loss to follow‐up (at 1 month and 3 months follow‐up):

Exposure + tangible non‐food reward (sticker): 7%, 9%

Exposure + social reward (praise): 8%, 5%

Exposure alone: 8%, 8%

Control: 11%, 6%

Analysis:

Analysis adjusted for clusteringClustering by school was minimal; therefore, the final analyses adjusted only for clustering by class."

Sample size calculation was performed

"On the basis of evidence that 10 exposures are needed to alter preferences, we decided to repeat all analyses for a restricted subset of children who tasted their target vegetable on at least 10 days (n=365). Because there were no significant differences between the restricted and the full samples, results are reported for the full sample."

Notes

Sensitivity analysis ‐ primary outcome: Primary outcome not stated, fruit and vegetable intake 2nd listed outcome after liking

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Contact with the author indicated that the study used blocked randomisation performed using an online randomiser programme

Allocation concealment (selection bias)

Unclear risk

Randomisation occurred prior to consent. Head teachers were not aware of group allocation. It is unclear if study personnel knew of allocation.

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

Contact with the author indicated that personnel were not blind to group allocations and that there was the potential that participants became aware of group allocation. However, given the objective outcome measure, review authors judged that the outcome would not be influenced by lack of blinding

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Contact with the author indicated that some, but not all of the outcome assessors were blind to group allocation. The outcome measurement (grams of target vegetable consumed, as measured by a digital scale) was objective and unlikely to have been influenced by lack of blinding

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Although reasons for missing data were not provided by group, rates of loss to follow‐up were low and similar across all experimental arms of the trial at both follow‐up points (Exposure+sticker = 6.5%, 8.8%; Exposure+praise = 8.2%, 5.0%; Exposure alone = 8.2%, 8.2%; Control = 10.9%, 5.7%, provided by the author). No reasons were reported for loss to follow‐up

Selective reporting (reporting bias)

Unclear risk

Insufficient information to permit judgement

Trial was registered, but not prospectively (ISRCTN42922680)

Other bias

Low risk

No further risks of bias identified

Correia 2014

Methods

Study design:

Randomised controlled trial – cross‐over

Funding:

"This project was part of a larger study funded by the Robert Wood Johnson Foundation Healthy Eating Research program."

Participants

Description:

Preschoolers enrolled in a Child and Adult Care Food Programme‐participating childcare centre

N (Randomised):

57 children

Age:

Mean = 4.4 years

% Female:

35%

SES and ethnicity:

“Among the children’s racial and ethnic backgrounds, 41.1% were non‐Hispanic black, 37.5% were non‐Hispanic white, 14.3% were Hispanic, and 7.1% were Asian. The median total family income was $33,600 (interquartile range, $19,337–$57,000).”

Inclusion/exclusion criteria:

“Preschool children enrolled full time were eligible for participation in the study."

No explicit exclusion criteria stated for this trial

Recruitment:

“One large, racially diverse child care center in Connecticut was recruited for participation in the study in 2011.”

Recruitment rate:

79% (57/72)

Region:

Connecticut (USA)

Interventions

Number of experimental conditions: 2

Number of participants (analysed):

Condition 1: the pairing of a vegetable with a familiar, well‐liked food (lunch) = 43

Condition 2: enhancing the visual appeal of a vegetable (snack) = 42

Description of intervention:

“Classrooms were randomly assigned to first participate in either the intervention or control condition for lunch (condition 1) and snack (condition 2).”

“The children participated in the second condition one week after the first condition for each meal.”

Condition 1: “Steamed broccoli on top of the pizza”

Condition 2: “Raw cucumbers arranged as a caterpillar with chive antennae and an olive eye.”

Duration:

2 days (1 day per condition)

Number of contacts:

2 (1 per condition)

Setting:

Preschool

Modality:

Face‐to‐face

Interventionist:

Teachers and researchers

Integrity:

No information provided

Date of study:

2011

Description of control:

Condition 1: “Steamed broccoli on the side of the pizza”

Condition 2: “Raw cucumbers as semicircular half‐slices with chive and an olive on the side.”

Outcomes

Outcome relating to children's fruit and vegetable consumption:

The two primary outcome measures were:

1. Willingness to taste (defined as consumption of 3 grams or more of the test vegetable) and

2. Total consumption of the test vegetable (grams)

“Researchers weighed the children’s meals in the center’s cafeteria in accordance with the CACFP‐recommended preschool serving sizes for all meal components before delivering them to the classrooms. After the meal was completed, researchers weighed the plate waste of meal components in the cafeteria. All weights were recorded to the nearest 0.1 g on a digital electronic balance.”

Outcome relating to absolute costs/cost effectiveness of interventions:

Not reported

Outcome relating to reported adverse events:

Not reported

Length of follow‐up from baseline:

<1 day

Length of follow‐up post‐intervention:

Same day

Subgroup analyses:

None

Loss to follow‐up:

Condition 1 = 25%

Condition 2 = 26%

Analysis:

Sample size calculation was performed.

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Randomly allocated to experimental group but the random sequence generation procedure is not described

Allocation concealment (selection bias)

Unclear risk

There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

Vegetable intake (objective)

Objective measure of child’s vegetable intake and unlikely to be influenced by performance bias

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Vegetable intake (objective)

Food was weighed to determine intake, but it is unlikely to be influenced by whether the researchers were blinded to condition

Incomplete outcome data (attrition bias)
All outcomes

High risk

Of the 57 participants 43 (75%) and 42 (74%) were present for both days of lunch and/or snack data collection respectively. Attrition > 20% for short‐term assessments

Selective reporting (reporting bias)

Unclear risk

There is no study protocol therefore it is unclear if there was selective outcome reporting

Other bias

Low risk

Contamination, baseline imbalance, & other bias that could threaten the internal validity are unlikely to be an issue

Cravener 2015

Methods

Study design:

Randomised controlled trial

Funding:

"College of Health and Human Development (Pennsylvania State University)"

Participants

Description:

Children aged 3 to 5 years with low vegetable intake

N (Randomised):

24 children

Age:

Mean: Intervention = 3.8 years, Control = 4.0 years

% Female:

Intervention = 50%, Control = 50%

SES and ethnicity:

“The majority of the participants were white (92%) and 83.3% of mothers and 82.6% of fathers reported graduating from college and/or graduate school.”

Inclusion/exclusion criteria:

Inclusion criteria: children aged 3 ‐ 5 years, categorised as “at risk for obesity” based on family history, defined as having at least one parent with a body mass index > 25 and consuming 2 or fewer servings of vegetables per day (according to parent report)

Exclusion criteria: pre‐existing medical conditions (including relevant food allergies)

Recruitment:

“recruited via flyers posted around the university community and in local newspapers and websites (e.g. Craigslist).”

Recruitment rate:

Unknown

Region:

Pennsylvania (USA)

Interventions

Number of experimental conditions: 2

Number of participants (analysed):

Intervention = 12, Control = 12

Description of intervention:

“children in the treatment group (n=12) received vegetables packaged in containers decorated with their four favorite cartoon characters (selected on the first visit) and granola bars in generic packaging. All vegetable packages contained sticker incentives and children could collect stickers on a special game board and trade them for small prizes at the end of the study. This was done to simulate the concept of promotions that often come with packaged foods. Parents were in charge of deciding when children had eaten enough of a vegetable to be awarded the sticker for their game boards.”

Duration:

2 weeks

Number of contacts:

Parents were instructed “to offer children a choice between either a vegetable or granola bar for at least three snacks and/or meals per day.”

Setting:

Home + lab

Modality:

Face‐to‐face

Interventionist:

Parents

Integrity:

“To assess compliance, parents completed daily checklists across the intervention to report when vegetables and granola bars were offered and record what children selected. In addition, parents could also report additional comments on these checklists to report other concerns or deviations. Parents were also responsible for keeping daily food diaries for children (data to be reported elsewhere). These logs were reviewed with parents during weekly home visits to assess progress.”

Date of study:

Recruitment August 2012 to June 2013

Description of control:

“children in the control group (n=12) received weekly supplies of generic‐packaged vegetables and granola bars presented as part of a free choice at meals and snacks..”

Outcomes

Outcome relating to children's fruit and vegetable consumption:

Children’s intake of vegetables (grams), “Intake was measured as the difference between pre‐ and post‐weights of the foods provided.”

Outcome relating to absolute costs/cost effectiveness of interventions:

Not reported

Outcome relating to reported adverse events:

Not reported

Length of follow‐up from baseline:

4 weeks

Length of follow‐up post‐intervention:

1 week

Subgroup analyses:

None

Loss to follow‐up:

There was no loss to follow‐up

Analysis:

Sample size calculation was performed.

Notes

First reported outcome (broccoli intake grams/day) at the longest follow‐up (4‐week follow‐up) was extracted for inclusion in meta‐analysis

Sensitivity analysis ‐ primary outcome: Fruit or vegetable intake is primary outcome

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Randomly assigned to condition using a random‐number generator.

Allocation concealment (selection bias)

Unclear risk

There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

Outcome group: All/ Children’s vegetable and granola bar intake

Families and researchers were not blinded to condition but it is unlikely that this influenced child consumption

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Outcome group: All/ Children’s vegetable and granola bar intake

Families and researchers were not blinded to condition and it is unclear if this had an impact on the weighing of food. The extent to which parents were compliant with instructions to return all leftovers is unknown

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Outcome group: All/ 100% retention rate and so risk of attrition bias is low

Selective reporting (reporting bias)

Unclear risk

There is no study protocol therefore it is unclear if there was selective outcome reporting

Other bias

Low risk

Contamination, baseline imbalance, & other bias that could threaten the internal validity are unlikely to be an issue

Daniels 2014

Methods

Study design:

Randomised controlled trial

Funding:

"Research relating to this article was funded 2008‐2014 by two consecutive grants from the Australian National Health and Medical Research Council (426704, APP1021065); HJ Heinz (to KM); Meat and Livestock Australia; Department of Health South Australia; Food Standards Australia New Zealand; and Queensland University of Technology."

Participants

Description:

First‐time mothers with healthy term infants

N (Randomised):

698 mother‐infant dyads

Age:

Child (mean): Intervention = 4.3 months, Control = 4.3 months

Mother (mean): Intervention = 30.2 years, Control = 29.9 years

% Female:

Child: Intervention = 51%, Control = 50%

SES and ethnicity:

Mother:

Education (university degree) = 59%

Origin (born in Australia) = 79%

SEIFA Index of Relative Advantage and Disadvantage (relative disadvantage ≤ 7th decile) = 33%

Inclusion/exclusion criteria:

Inclusion criteria: “Inclusion criteria were ≥18 years of age, infants >35 weeks gestation, and birth weight ≥2500 g, living in the study cities, facility with written and spoken English”

Exclusion criteria: “Mother‐infant dyads will be excluded if the infant has any diagnosed congenital abnormality or chronic condition likely to influence normal development (including feeding behaviour) or the mother has a documented history of domestic violence or intravenous substance abuse or self‐reports eating, psychiatric disorders or mental health problems.”

Recruitment:

“A consecutive sample of first‐time mothers with healthy term infants was approached at seven maternity hospitals”

“Consenting mothers were recontacted for full enrolment when their infant was four (range 2‐7) months old.”

Recruitment rate:

16% (698/4376)

Region:

Brisbane and Adelaide (Australia)

Interventions

Number of experimental conditions: 2

Number of participants (analysed):

Intervention = 291, Control = 307

Description of intervention:

“The first intervention module started immediately after baseline (children aged 4‐7 months) with the second module commencing 6 months after completion of the first (children aged 13‐16 months). Each module comprised six interactive group sessions (10‐15 mothers per group, total 40 groups) of 1‐1.5 hours duration, co‐facilitated by a dietitian (n=13) and psychologist (n=13). Developmentally appropriate content addressed: (i) repeated neutral exposure to unfamiliar foods combined with limiting exposure to unhealthy foods to promote healthy food preferences and (ii) responsive feeding that recognizes and responds appropriately to cues of hunger and satiety to promote self‐regulation of energy intake to need. A third theme was “feeding is parenting” and positive parenting (encouragement of autonomy, warmth, self‐efficacy).”

Duration:

12 months (12 weeks duration for Modules 1 and 2 respectively, with 6‐month gap between Module 1 and 2)

Number of contacts:

12 group sessions

Setting:

Child health clinics

Modality:

Face‐to‐face, group sessions

Interventionist:

Co‐facilitated by a dietitian and psychologists

Integrity:

No information provided

Date of study:

2008 to 2011

Description of control:

“The control group had access to universal community child health services, which, at the mother’s initiative, could include child weighing and web‐ or telephone‐based information. An important distinction was that controls did not receive anticipatory guidance but sought advice on a specific problem.”

Outcomes

Outcome relating to children's fruit and vegetable consumption:

Child’s consumption of fruits and vegetables, “assessed using a three‐pass 24‐hour dietary recall conducted via telephone by a dietitian trained”

Outcome relating to absolute costs/cost effectiveness of interventions:

Not reported

Outcome relating to reported adverse events:

Not reported

Length of follow‐up from baseline:

20 months and 4.5 years

Length of follow‐up post‐intervention:

6 months and 3.5 years

Subgroup analyses:

None

Loss to follow‐up:

Intervention = 26%

Control = 19%

Analysis:

Sample size calculation was performed.

Notes

First reported outcome (vegetable intake g/kg body weight) at the longest follow‐up < 12 months (6 months after intervention completion) and ≥ 12 months (3.5 years after intervention completion) was extracted for inclusion in meta‐analysis.

Sensitivity analysis ‐ primary outcome: Primary outcome not stated, however power calculation was conducted on fruit or vegetable consumption

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Randomly assigned to condition using permuted‐blocks randomisation schedule generated by the Institute’s Research Methods Group, which includes this study’s statistician, all of whom will otherwise not be involved in data collection or intervention delivery

Allocation concealment (selection bias)

Unclear risk

There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Outcome group: All/ Food intake records, food preference, feeding behaviour (self‐reported)

There is no blinding to group allocation of participants or personnel described and this is likely to influence performance

Blinding of outcome assessment (detection bias)
All outcomes

High risk

There is no blinding to group allocation of participants described, and because self‐reported measures at high risk of detection bias

Incomplete outcome data (attrition bias)
All outcomes

High risk

There was 22% attrition at short‐term follow‐up and dropout was significantly higher in the intervention than the control group

Selective reporting (reporting bias)

Low risk

The measures reported in the protocol paper align with those reported in the outcome papers

Other bias

High risk

There were no differences according to group allocation at baseline. However at high risk of incorrect analysis as the protocol specifies that clustering within assessment clinics will be accounted for but this does not appear to have been done in any of the outcome papers

De Bock 2012

Methods

Study design:

Cluster‐randomised controlled trial

Funding:

"This work was supported by a grant from the Baden‐Württemberg Stiftung.” “F.D.B. is supported by the European Social Fund and by the Ministry of Science, Research and the Arts Baden‐Württemberg.”

Participants

Description:

Children aged 3 to 6 years in 18 preschools from 3 south German regions

N (Randomised):

18 preschools, 377 children

Age:

Mean = 4.26 years

% Female:

47%

SES and ethnicity:

Child: 32.4% came from an immigrant background

Education levels (mother): Low = 16%, Middle = 56%, High = 21%

Inclusion/exclusion criteria:

“Pre‐schools were eligible to participate in the study if they were located in one of three predefined regions and had applied to participate in the nutritional intervention module of a state‐sponsored health promotion programme ‘Komm mit in das gesunde Boot’ (‘Come aboard the health boat’), with at least fifteen children participating.”

“Children between 3 and 6 years of age attending one of the participating pre‐schools and participating in the programme were considered eligible for our study.”

No explicit exclusion criteria stated for this trial

Recruitment:

Preschools: Selected from a group of preschools who had already “applied to participate in the nutritional intervention module of a state‐sponsored health promotion programme.”

Recruitment rate:

Preschool: 64% (18/28)

Child: 80% (377/473)

Region:

3 regions in Baden‐Württemberg (Germany)

Interventions

Number of experimental conditions: 2

Number of participants (analysed):

202 children (not specified by group)

Description of intervention:

“Intervention activities consisted of familiarizing with different food types and preparation methods as well as cooking and eating meals together in groups of children, teachers and parents. One session additionally focused on healthy drinking behaviours.”

Of the 15 sessions, five actively involved “parents by targeting them alone (discussions on parents’ modelling role and nutritional needs of children) or together with their children.”

“Models for healthy eating within the intervention included: (i) use of nutrition experts; (ii) play acting with ‘pirate dolls’ used as props enjoying fruit and vegetables; (iii) active parental involvement; and (iv) involvement of other pre‐school peers. The exposure effect was taken into account by repeatedly offering healthy snacks like fruit and vegetables and water to the children every week.”

Duration:

6 months

Number of contacts:

15 sessions (1/week, 2hr per session)

Setting:

Preschool

Modality:

Face‐to‐face

Interventionist:

“The intervention was delivered by external nutrition experts”

“Pre‐school group teachers assisted the external nutrition expert during each session to enable them to sustain intervention‐related activities after the study end.”

Integrity:

“Implementation rate was high with all modules delivered completely (5.0/5); no session was cancelled.”

“Intervention fidelity was high with the majority of interventions delivered as planned.”

Date of study:

2008 to 2009

Description of control:

Waiting‐list control, “received the same intervention 6 months later than the intervention arm”

Outcomes

Outcome relating to children's fruit and vegetable consumption:

Change in child’s consumption of fruits and vegetables (portions/day) assessed using a questionnaire by parent self‐report

Outcome relating to absolute costs/cost effectiveness of interventions:

Not reported

Outcome relating to reported adverse events:

Not reported

Length of follow‐up from baseline:

6 and 12 months

Length of follow‐up post‐intervention:

Immediately and 6 months

Subgroup analyses:

None

Loss to follow‐up:

“Of 348 pre‐school children, 29.6% completed all three measurements, 51.4% two measurements and 19% one measurement with 58% providing both pre‐ and post‐intervention measurements.” Individual loss to follow‐up data not reported.

Analysis:

Sample size calculation was performed.

Analysis was not adjusted for clustering, but justification was provided. “As our data stemmed from natural pre‐school‐bound clusters of children, we first determined the extent of clustering. Intraclass correlation coefficients (ICC) on the level of pre‐schools were 0.016 and 0.014 for the primary outcomes of fruit intake and vegetable intake, respectively. With an average cluster size of 19.5 children per pre‐school, the design effect (d = 1 + (average cluster size ‐1) x ICC) did not exceed 2, allowing us to ignore the issue of clustering in our analyses.”

Notes

Sensitivity analysis ‐ primary outcome: Fruit or vegetable intake is primary outcome.

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Randomly allocated to experimental group but the random sequence generation procedure is not described

Allocation concealment (selection bias)

Low risk

Preschool assignment was concealed through the use of sequentially‐numbered, sealed envelopes.

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Outcome group: All/ Fruit & vegetable intake (parent self‐reported survey)

Due to the nature of the intervention, it was not possible to blind participants or intervention providers and this is likely to influence performance

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Fruit & vegetable intake (parent self‐reported survey)

Parents were not blinded to group allocation and therefore the risk of detection bias is high

Incomplete outcome data (attrition bias)
All outcomes

High risk

Of 348 preschool children, 29.6% completed all 3 measurements, 51.4% 2 measurements and 19% 1 measurement, with 58% providing both pre‐ and post‐intervention measurements

Selective reporting (reporting bias)

Unclear risk

There is no study protocol therefore it is unclear if there was selective outcome reporting

Other bias

Unclear risk

The design effect did not exceed 2 and so the authors ignored clustering in the analyses. The impact of this on the analyses is unclear

De Coen 2012

Methods

Study design:

Cluster‐randomised controlled trial

Funding:

“The study was commissioned, financed and steered by the Ministry of the Flemish Community (Department of Economics, Science and Innovation; Department of Welfare, Public Health and Family).”

Participants

Description:

Children attending pre‐primary and primary schools from 6 communities in Flanders, Belgium

N (Randomised):

31 schools, 1589 children

Age:

Mean: Intervention = 4.86 years, Control = 5.04 years

% Female:

Intervention = 47%, Control = 55%

SES and ethnicity:

% Of lower SES children: Intervention = 34%, Control = 29%

Inclusion/exclusion criteria:

Not specified

Recruitment:

“All pre‐primary and primary schools in the six communities were invited to participate in the study.”

Recruitment rate:

Child: 49% (1589/3242)

School: 64% (31/49)

Region:

Flanders (Belgium)

Interventions

Number of experimental conditions: 2

Number of participants (analysed):

Intervention = 396, Control = 298

Description of intervention:

“The intervention was based on the ‘Nutrition and Physical Activity Health Targets’ of the Flemish Community clustered into: (i) increasing daily consumption of water and decreasing soft drinks consumption; (ii) increasing daily milk consumption; (iii) increasing daily consumption of vegetables and fruit; (iv) decreasing daily consumption of sweets and savoury snacks; and (v) increasing daily PA and decreasing screen‐time behaviour.”

The community

“Each intervention year, information brochures and posters regarding the five topics of the project were distributed through general practitioners, pharmacists, social services and at relevant community events by the regional health boards and the research team.”

The schools

“All intervention schools were requested to (i) implement five Healthy Weeks per intervention year (one for each cluster of topics) with a minimum 1 h of classroom time dedicated to the topic together with extracurricular activities (e.g. during the vegetables and fruits week only fruits could be brought to school as a snack; schools organized fruit and vegetable tastings), (ii) evaluate and improve their playground and snack and beverage policy, and (iii) communicate with the parents on the programme and distribute materials to the parents. The intervention started with a meeting with the teachers during which they received manuals and guidelines and an implementation plan was discussed.”

The parents

“The intervention materials for the parents were newly developed for the project. The parents received a poster visualizing the target messages and containing short tips regarding parenting practices and styles to encourage children to stick to the healthy eating and PA targets. Parents also received five letters, containing detailed information on the intervention topics and a website link with practical information such as tips and recipes. Based on the FFQ in the parental questionnaire, parents received a written, normative individual tailored advice on their child’s consumption of water, milk, fruits, vegetables, soft drinks and sweet and savoury snacks, and their PA and screen‐time behaviour.”

The regional health boards

“They contacted each school at least twice per year assisting them in selecting relevant intervention materials and supervising the implementation progress.”

Duration:

“The intervention was implemented over two school years (2008–2009 and 2009–2010) on different levels.”

Number of contacts:

Unclear (multi‐component)

Setting:

School

Modality:

Multiple (face‐to‐face, educational materials, resources (posters, brochures), letters)

Interventionist:

Multiple

Integrity:

“Process evaluation data revealed that all schools implemented the requested classroom hour. Regarding the snack and playground policy, it was clear that the requested adjustments asked for more time investment and at the time of observation, most schools did not yet meet up to the standard.”

Date of study:

2008 to 2010

Description of control:

No information provided

Outcomes

Outcome relating to children's fruit and vegetable consumption:

Child’s consumption of fruits and vegetables (grams/day) assessed using a validated 24‐item semi‐quantitative food frequency questionnaire (FFQ) completed by parents

Outcome relating to absolute costs/cost effectiveness of interventions:

Not reported

Outcome relating to reported adverse events:

Not reported

Length of follow‐up from baseline:

2 years

Length of follow‐up post‐intervention:

Immediately

Subgroup analyses:

None

Loss to follow‐up:

Overall = 56% (not specified by group)

Analysis:

Did not adjust for clustering

Sample size calculation was performed

Notes

First reported outcome (fruit consumption grams/day) was extracted for inclusion in meta‐analysis. The reported estimate did not account for clustering, therefore we used post‐intervention data and calculated an effective sample size using ICC of 0.016 to enable inclusion in meta‐analysis.

Sensitivity analysis ‐ primary outcome: Primary outcome not stated, fruit or vegetable intake 2nd listed outcome after BMI

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Randomly allocated to experimental group but the random sequence generation procedure is not described

Allocation concealment (selection bias)

Unclear risk

There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Outcome group: All/ Fruit and vegetable intake (self‐reported)

There is no blinding to group allocation of participants described and this is likely to influence performance

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Fruit and vegetable intake (self‐reported)

There is no mention that participants were blinded to group allocation and therefore the risk of detection bias is high

Incomplete outcome data (attrition bias)
All outcomes

High risk

694/1589 (44%) completed 2‐year assessment. Long‐term attrition > 30% therefore at high risk of attrition bias

Selective reporting (reporting bias)

Unclear risk

There is no study protocol therefore it is unclear if there was selective outcome reporting

Other bias

High risk

High risk of recruitment bias as communities were randomised and then schools within each community were invited to participate

Unclear baseline imbalance as communities differed on nutrition and PA policy, raising awareness for these topics and health promotion expertise

de Droog 2014

Methods

Study design:

Randomised controlled trial (as confirmed by the study author)

Funding:

"Grant from The Netherlands Organisation for Scientific Research (NWO)."

Participants

Description:

Children aged 4‐6 years from 6 primary schools in both urban and suburban districts in the Netherlands

N (Randomised):

160 children

Age:

4‐6 years (no mean provided)

% Female:

49%

SES and ethnicity:

No explicit data: “The sample consisted of various socioeconomic and cultural backgrounds.”

Inclusion/exclusion criteria:

“Only schools without formal fruit and vegetable programs were selected.”

Recruitment:

Not specified

Recruitment rate:

Unknown

Region:

Urban and suburban districts of the Netherlands

Interventions

Number of experimental conditions: 5

Number of participants (analysed):

Interactive + congruent = 26

Interactive + incongruent = 26

Passive + congruent = 26

Passive + incongruent = 26

Baseline group = 56

Description of intervention:

Children were read a picture book in a quiet room near their class. The picture book story described a main character rescuing his friend. The main character in this story is able to rescue his friend only after eating carrots to make him fit and strong.

Passive vs interactive

In the interactive sessions, the storyteller used a reading manual to ask children questions about the story and its characters before, during, and after the session. In the passive sessions, children were not asked any questions, but encouraged to sit quietly and listen.

Congruent vs incongruent

1 book featured a product–congruent character (a rabbit), and the other featured a product–incongruent character (a turtle)

Duration:

5 days

Number of contacts:

5 sessions

Setting:

School

Modality:

Face‐to‐face

Interventionist:

Female daycare worker

Integrity:

No information provided

Date of study:

October‐December 2011

Description of control:

Baseline ‘control’ group “not exposed to the book”

Outcomes

Outcome relating to children's fruit and vegetable consumption:

Child’s proportional consumption of vegetables. “Children’s proportional product consumption was measured by dividing the number of pieces of each food eaten by the total number of pieces of foods eaten, for example: number of carrots eaten/total number of foods eaten.”

Outcome relating to absolute costs/cost effectiveness of interventions:

Not reported

Outcome relating to reported adverse events:

Not reported

Length of follow‐up from baseline:

5 days

Length of follow‐up post‐intervention:

Immediately

Subgroup analyses:

None

Loss to follow‐up:

There was no loss to follow‐up

Analysis:

Unknown if sample size calculation was performed

Notes

"Children in the experimental groups were randomly assigned to the four experimental conditions (n = 26 per cell)" whereas the children in the baseline control group were not randomised. Therefore the study was classified as a comparative effectiveness trial and we did not consider the data from the baseline control group

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Randomly allocated to experimental group but the random sequence generation procedure is not described.

Allocation concealment (selection bias)

Unclear risk

There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed.

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

Vegetable intake:

Objective measure of child’s vegetable intake and unlikely to be influenced by performance bias

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Vegetable intake

The experimenter counted the number of pieces of each snack eaten and therefore given it is an objective measure unlikely to be influenced by detection bias

Incomplete outcome data (attrition bias)
All outcomes

Unclear risk

There is no information about attrition provided

Selective reporting (reporting bias)

Unclear risk

There is no study protocol therefore it is unclear if there was selective outcome reporting

Other bias

Low risk

Contamination, baseline imbalance, & other bias that could threaten the internal validity are unlikely to be an issue

de Droog 2017

Methods

Study design:

Randomised controlled trial

Funding:

“This work was supported by a grant from the Dutch Ministry of Health, Welfare and Sport (grant number: 201400117.014.013). The Ministry's sole role was funding, and, thus, was not involved in the design, data collection, data analyses, data interpretation, and writing of the report. None of the authors had a potential conflict of interest.”

Participants

Description:

Children aged 2‐3 years in nursery schools in Rotterdam, the Netherlands

N (Randomised):

163 children

Age:

Mean = 2.63 years

% Female:

48%

SES and ethnicity:

“The sample consisted of toddlers from mostly low‐SES households with various cultural backgrounds.”

Inclusion/exclusion criteria:

“Only schools without formal fruit and vegetables programs were selected”

Recruitment:

Not specified

Recruitment rate:

99% (197/199)

Region:

The Netherlands

Interventions

Number of experimental conditions: 4

Number of participants (analysed):

Passive with puppet: 36

Passive without puppet: 40

Interactive with puppet: 41

Interactive without puppet: 37

Description of intervention:

Children were read a picture book “Rabbit’s brave rescue”. The embedded message in the book was that “eating carrots makes you strong”. Reading sessions were conducted in a quiet room within the nursery school during one workweek. The reading sessions were being held in small groups of 3‐5 toddlers, and took about 10 minutes. Reading was performed either with or without a hand puppet (hand puppets were developed that resembled the physical appearance of the main character in the picture book, ‘Rabbit’). Children allocated to the passive groups (with or without a puppet) were not asked questions during reading time and children allocated to the interactive groups (with or without a puppet) were asked questions during reading time.

Duration:

4 days

Number of contacts:

4 reading sessions (1 per day)

Setting:

Preschool

Modality:

Face‐to‐face

Interventionist:

Women with pedagogical education

Integrity:

The reading sessions were monitored.

Date of study:

Recruited in February and March 2015

Description of control:

N/A

Outcomes

Outcome relating to children's fruit and vegetable consumption:

Consumption of carrots (proportion): “The proportion of consumed carrots was calculated by dividing the pieces of carrots the child had eaten by the total number of pieces of foods the child had eaten.”

“Proportional scores were used, rather than absolute scores, because the proportional scores take into account the total amount of foods eaten.”

Outcome relating to absolute costs/cost‐effectiveness of interventions:

Not reported

Outcome relating to reported adverse events:

Not reported

Length of follow‐up from baseline:

4 days

Length of follow‐up post‐intervention:

Immediately

Subgroup analyses:

None

Loss to follow‐up:

“Children who were absent on the last reading day (n = 34), were excluded from the analyses.”

“The total drop‐out was evenly spread across conditions.”

Overall: 17% (not specified by group)

Analysis:

Unknown if sample size calculation was performed.

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

“On the first day, the storytellers picked up the children from class in order of the name list provided by the school, and randomly assigned them to one of the four reading conditions, ensuring balance in gender.”

No mention of how the randomization sequence was generated.

Allocation concealment (selection bias)

High risk

The allocation was done by the person delivering the intervention.

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

“For the reading sessions, four women with a pedagogical education were recruited and trained to perform all the different reading styles and puppetry conditions. These storytellers were teamed up with four female experimenters who observed the toddlers during the readings. With each team being allocated to a specific day of the week, all the toddlers in the study were exposed to all the storytellers and observers.”

Those delivering the intervention were aware of group allocation, however this is unlikely to have impacted the outcomes.

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

“The experimenter conducting the eating task was blinded to group assignment, because the reading sessions and eating tasks took place in different rooms.”

Incomplete outcome data (attrition bias)
All outcomes

High risk

Dropouts were 23% at short‐term follow‐up (in text). However in Consort flowchart, it appears that people were excluded prior to randomization. In the text it says that most were excluded due to not attending on the final measurement day. This sounds like the dropouts should be removed at the analysis/data collection stage.

Selective reporting (reporting bias)

Low risk

All outcomes are reported as pre‐specified in the trial registration.

Other bias

Low risk

No other sources of bias identified

de Wild 2013

Methods

Study design:

Randomised controlled trial – cross‐over

Funding:

"European Community’s Seventh Framework Programme (FP7/2007‐2013) under the Grant agreement No. 245012‐HabEat."

Participants

Description:

Preschool‐aged children recruited from 3 daycare centres in Wageningen, the Netherland

N (Randomised):

40 children

Age:

21 to 46 months (mean = 36 months)

% Female:

50%

SES and ethnicity:

Not specified

Inclusion/exclusion criteria:

Inclusion criteria: “Inclusion into the study required presence of the child at the day care‐centre for at least 2 days per week.”

Exclusion criteria. “Participants were screened for food allergies and health problems (as reported by the parents)”

Recruitment:

“A total of 40 healthy children aged 2–4 years were recruited from 2 day care‐centres in Wageningen, The Netherlands. Participation was voluntary and parents and day care‐centres were thoroughly informed about the study. Written parental consent was given for the participating children.”

Recruitment rate:

Unknown

Region:

Wageningen (The Netherlands)

Interventions

Number of experimental conditions: 2

Number of participants (analysed):

Spinach high‐energy/endive low‐energy = 15

Endive high‐energy/spinach low‐energy = 13

Description of intervention:

“During the intervention period, half of the participants (n = 20) received vegetable soup flavour A low in energy content (LE) consistently paired with vegetable soup flavour B high in energy content (HE), whereas the other half of the participants received the reverse (i.e. flavour A HE + flavour B LE).”

Duration:

7 weeks

Number of contacts:

14 exposures (twice/week)

Setting:

Preschool

Modality:

Face‐to‐face

Interventionist:

Daycare leaders

Integrity:

No information provided

Date of study:

Unknown

Description of control:

N/A

Outcomes

Outcome relating to children's fruit and vegetable consumption:

As‐desired consumption of vegetable soup (grams). “Consumption was measured by pre‐ and post‐weighing on a digital scale with a precision of 0.1 g.”

Outcome relating to absolute costs/cost effectiveness of interventions:

Not reported

Outcome relating to reported adverse events:

Not reported

Length of follow‐up from baseline:

8 weeks and 4 and 8 months

Length of follow‐up post‐intervention:

1 week and at 2 and 6 months

Subgroup analyses:

None

Loss to follow‐up (at 2 and 6 months):

Overall: 32%, 39% (not specified by group)

Analysis:

Sample size calculation was performed.

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Randomly allocated to experimental group but the random sequence generation procedure is not described

Allocation concealment (selection bias)

Unclear risk

There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

Vegetable intake (objective):

The children and the daycare leaders were blinded to the treatment, i.e. they were unaware which product was high or low in energy and therefore low risk of performance bias

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Vegetable intake (objective):

Outcome was pre‐post weight of soup bowl assessed by researcher. Researchers were not blinded to group allocation (as they served the soup (2 x green soups varying in energy intake)) and researcher was not present in room during consumption of soup

Incomplete outcome data (attrition bias)
All outcomes

High risk

Of 40 eligible children, 12 were excluded from data analysis due to low intake levels during the conditioning period. Of 28 children 17 (61%) completed the 6‐month follow‐up

Selective reporting (reporting bias)

Low risk

The primary outcomes reported in the paper align with those specified in the trial registration

Other bias

Low risk

Contamination, baseline imbalance, & other bias that could threaten the internal validity are unlikely to be an issue

de Wild 2015a

Methods

Study design:

Randomised controlled trial

Funding:

"European Community’s Seventh Framework Programme (FP7/2007‐2013) under the Grant agreement No. 245012‐HabEat."

Participants

Description:

Preschool‐aged children recruited from 3 daycare centres in Wageningen, the Netherlands

N (Randomised):

75 children

Age:

1.9‐5.9 years (mean = 3.7 years)

% Female:

50%

SES and ethnicity:

Not specified

Inclusion/exclusion criteria:

No explicit inclusion/exclusion criteria. “Participants were screened for food allergies and health problems (as reported by the parents)”

Recruitment:

“Parents with children in the targeted age range received an information letter and an invitation to register their child(ren) for participation via the day‐cares. Participation was voluntary and parents and day care‐centres were thoroughly informed about the study.”

Recruitment rate:

Unknown

Region:

Wageningen (The Netherlands)

Interventions

Number of experimental conditions: 2

Number of participants (analysed):

Choice condition = 34

No‐choice condition = 36

Description of intervention:

“Each child was exposed 12 times to six familiar target vegetables at home during dinner, which is the traditional hot meal including vegetables in The Netherlands….the choice group received two types of vegetables from which to choose, or they could choose to eat both vegetables during the meal.”

Duration:

12 days

Number of contacts:

12

Setting:

Home

Modality:

Face‐to‐face

Interventionist:

Parents

Integrity:

No information provided

Date of study:

Unknown

Description of control:

The no‐choice group received only one type of vegetable per dinner session”

Outcomes

Outcome relating to children's fruit and vegetable consumption:

“The main outcome of the study was the children’s intake (in gram) of the vegetables. Vegetable intake was measured by weighing their plates before and after dinner (left overs).”

Outcome relating to absolute costs/cost effectiveness of interventions:

Not reported

Outcome relating to reported adverse events:

Not reported

Length of follow‐up from baseline:

12 days

Length of follow‐up post‐intervention:

Immediately

Subgroup analyses:

None

Loss to follow‐up:

Overall = 6% (not specified by group)

Analysis:

Sample size calculation was performed

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Randomly allocated to experimental group but the random sequence generation procedure is not described

Allocation concealment (selection bias)

Unclear risk

There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

Vegetable intake (objective measure):

Children’s vegetable intake was measured by weighing their plates before and after dinner (left‐overs). There is a low risk of performance bias

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Vegetable intake (objective measure):

Children’s vegetable intake was measured by weighing their plates before and after dinner (left‐overs). There is a low risk of detection bias

Incomplete outcome data (attrition bias)
All outcomes

Low risk

70/75 (93%) children completed the study and therefore risk of attrition bias is low

Selective reporting (reporting bias)

Unclear risk

The primary outcomes reported in the paper align with those specified in the trial registration. However in the trial registration the food diary is listed as a secondary outcome but the results are not reported in the outcome paper

Other bias

High risk

Despite random assignment, children in the no‐choice group on average liked vegetables better than children in the choice group (P < 0.01) and therefore baseline imbalance between groups

de Wild 2015b

Methods

Study design:

Randomised controlled trial – semi‐cross‐over

Funding:

"European Community’s Seventh Framework Programme (FP7/2007‐2013) under the Grant agreement No. 245012‐HabEat."

Participants

Description:

Preschool‐aged children recruited from 2 daycare centres in Wageningen, the Netherland

N (Randomised):

45 children

Age:

18‐45 months (mean = 32.6 months)

% Female:

49%

SES and ethnicity:

Not specified

Inclusion/exclusion criteria:

No explicit inclusion/exclusion criteria. “Participants were screened for food allergies and health problems (as reported by the parents)”

Recruitment:

“recruited from two day‐care centres in Wageningen, the Netherlands. Parents signed an informed consent for their child’s participation.”

Recruitment rate:

Unknown

Region:

Wageningen (The Netherlands)

Interventions

Number of experimental conditions: 2

Number of participants (analysed):

Parsnip crisps‐tomato ketchup/red beet crisps‐white sauce = 19

Red beets crisps‐tomato ketchup/parsnip crisps‐white sauce = 20

Description of intervention:

“Half of the participants received red beet crisps combined with tomato ketchup (TK [C]) consistently paired with parsnip crisps combined with white sauce (WS [UC]). The other half of the participants received the reverse, i.e. red beet crisps + WS(UC) and parsnip crisps + TK(C).”

Duration:

7 weeks

Number of contacts:

14 exposures (twice/week)

Setting:

Preschool

Modality:

Face‐to‐face

Interventionist:

Daycare leaders

Integrity:

No information provided

Date of study:

Unknown

Description of control:

N/A

Outcomes

Outcome relating to children's fruit and vegetable consumption:

As‐desired consumption of vegetable crisps (grams). “Consumption of crisps and dip sauces were measured by pre‐ and post‐weighing on a digital scale with a precision of 0.1 g.”

Outcome relating to absolute costs/cost effectiveness of interventions:

Not reported

Outcome relating to reported adverse events:

Not reported

Length of follow‐up from baseline:

Post‐test 1: 9 weeks

Post‐test 2: 4 months (2 months after conditioning)

Post‐test 3: 8 months (6 months after conditioning)

Length of follow‐up post‐intervention:

Post‐test 1: immediate

Post‐test 2: 2 months

Post‐test 3: 6 months after conditioning

Subgroup analyses:

None

Loss to follow‐up (at 2 and 6 months):

Overall: 5%, 33% (not specified by group)

Analysis:

Unknown if sample size calculation was performed

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Randomly allocated to experimental group but the random sequence generation procedure is not described

Allocation concealment (selection bias)

Unclear risk

There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

Vegetable crisps intake (objective):

The children were not aware that their intake was measured or which condition they participated in and so the risk of performance bias is low

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Vegetable crisps intake (objective):

The outcome was vegetable chip and dip intake (each assessed separately) by weighing amount before and after consumption. It is not clear who (i.e. researchers or daycare centre staff) weighed the chips & dip, and whether or not they were blinded. Blinding of outcome assessors unlikely to influence outcome

Incomplete outcome data (attrition bias)
All outcomes

High risk

Of the 45 children, 6 were excluded because they had no intake at all of the dip sauces. Of the remaining 39 children, 26 (67%) completed the 6‐month follow‐up. The risk of attrition bias is high

Selective reporting (reporting bias)

Unclear risk

The trial registration reports a secondary outcome that is not reported in the outcome paper

Other bias

Low risk

Contamination, baseline imbalance, & other bias that could threaten the internal validity are unlikely to be an issue

de Wild 2017

Methods

Study design:

Randomised controlled trial

Funding:

“The research leading to the results presented here received funding from the European Community’s Seventh Framework Programme (FP7/2007‐2013) under grant agreement no. 245012‐HabEat.”

Participants

Description:

Children aged 2‐4 years in 6 day‐care centres in Wageningen, the Netherlands

N (Randomised):

103 children

Age:

Plain spinach (mean): 34.5 months

Creamed spinach (mean): 36.1 months

Spinach ravioli (mean): 35.4 months

Green beans (mean): 35.8 months

% Female:

Plain spinach: 50%

Creamed spinach: 52%

Spinach ravioli: 46%

Green beans: 42%

SES and ethnicity:

Not specified

Inclusion/exclusion criteria:

No explicit inclusion/exclusion criteria stated for this trial, “Participants were screened for food allergies and health problems (as reported by the parents).”

Recruitment:

Not specified, recruited from 6 child care centres

Recruitment rate:

99% (103/104)

Region:

Wageningen (the Netherlands)

Interventions

Number of experimental conditions: 4

Number of participants (analysed):

Plain spinach: 26

Creamed spinach: 25

Spinach ravioli: 26

Green beans: 26

Description of intervention:

“Families received a weekly vegetable parcel, including their vegetable product for one meal (main meal), cooking instructions, and a food diary. A standardized weighing scale with a precision of 1 g (Fiesta; Soehnle) was supplied to all participating families together with the first delivery of the vegetable parcel.”

Duration:

6 weeks

Number of contacts:

6 (once per week)

Setting:

Home

Modality:

Face‐to‐face

Interventionist:

Parents

Integrity:

No information provided

Date of study:

The study was conducted between September 2014 and January 2015

Description of control:

N/A

Outcomes

Outcome relating to children's fruit and vegetable consumption:

As‐desired intake of plain cooked spinach (grams): “Spinach intake was measured by weighing the bowls before and after lunch (leftovers) on a digital scale with a precision of 0.1 g.”

Outcome relating to absolute costs/cost‐effectiveness of interventions:

Not reported

Outcome relating to reported adverse events:

Not reported

Length of follow‐up from baseline:

7 weeks

Length of follow‐up post‐intervention:

1 week

Subgroup analyses:

None

Loss to follow‐up:

“There were no lost to follow up or withdrawals”

Analysis:

Sample size calculations performed

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

“Children were randomly assigned to one

of the four groups using a four‐block design: green beans (control), plain spinach (pure spinach), creamed spinach (diluted), and spinach ravioli (hidden). Randomization was

done by a person who was not involved in study recruitment, enrollment, or assignment of participants.”

No mention of how the randomisation sequence was generated

Allocation concealment (selection bias)

Unclear risk

There is no mention of allocation concealment.

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Outcome group primary outcomes – preference and intake

“Day‐care center staff members were instructed to behave as they usually did and not to alter their daily routine. The researchers were absent while children ate their spinach at lunch, to not disturb the normal daily lunch routine.”

It is unclear whether the day‐care centre staff or researchers were blind to experimental group allocation.

Outcome group: secondary outcomes – intake and liking

"The products in the plain spinach, creamed spinach, and green beans groups were commercially available (frozen green beans [2.5 kg], frozen chopped spinach [2.5 kg], and frozen spinach a la crème [1 kg]) and were repacked in family portions and delivered frozen via the day‐care centers on a weekly basis.”

It is likely parents knew their experimental group allocation and this could have affected the outcome.

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Outcome group primary outcomes – preference and intake

“Spinach intake was measured by weighing the bowls before and after lunch (leftovers) on a digital scale with a precision of 0.1 g (model S‐4001; Denver Instruments, and model Kern‐572; Kern & Sohn).”

It is unclear whether the researchers were blind to group allocation, how the outcome assessment procedure is unlikely to have been impacted.

Outcome group: secondary outcomes – intake and liking

“Parents weighed the childs vegetable portion before and after the meal to determine vegetable intake.”

“After the main meal, parents completed a food diary, in which information was collected; for example, on deviations from the described procedures, dinnertime, consumption of other meal components, the childs health status, and the childs liking of the vegetables (parents perception and rated on a 9‐point scale (where 1= extremely disgusting and 9= extremely delicious).”

All outcome data was collected by the parents themselves – self‐report

Incomplete outcome data (attrition bias)
All outcomes

Unclear risk

There were 10 children who had only 1 or 2 data points for intake of the 6 meals, with no reasons reported.

Not enough information reported about the reasons for missing data.

Selective reporting (reporting bias)

Low risk

All outcomes are reported as pre‐specified in the trial registration.

Other bias

Low risk

No other sources of bias were identified.

Duncanson 2013

Methods

Study design:

Randomised controlled trial

Funding:

“C Collins is supported by a National Health and Medical Research Council Australian Career Development Research Fellowship (#6315005). K Duncanson is supported by a Clinical Education and Training Institute Rural Research Capacity Building Program Grant and New Staff Research Grant (University of Newcastle).”

Participants

Description:

Parents of children aged 2 to 5 years living in a rural area of New South Wales, Australia

N (Randomised):

146 parents

Age:

Children (mean): Intervention = 4.0 years, Control = 4.0 years

Parents:

Younger than 30 years: Intervention = 34%, Control = 17%

30 years or older: Intervention = 66%, Control = 83%

% Female:

Child: Intervention = 47%, Control = 48%

Parent: Intervention = 100%, Control = 99%

SES and ethnicity:

Parent education: Secondary = 46%, Tertiary = 55%

Aboriginal: Child = 4%, Parent = 2%

Inclusion/exclusion criteria:

Inclusion criteria: “Inclusion criteria were eldest child in family ages 2 to 5 years, without a chronic health condition that affected dietary intake.”

Exclusion criteria: “A child was excluded if he or she had a chronic disease, such as coeliac disease or a food allergy that has a significant effect on dietary intake. The eldest child within the eligible age range was selected as the study child for consistency and simplicity.”

Kids were also excluded if they began primary school

Recruitment:

“parents of young children were recruited from child care facilities in 5 rural, low socioeconomic localities in NSW, Australia.”

Recruitment rate:

Parent: 81% (146/180)

Region:

New South Wales (Australia)

Interventions

Number of experimental conditions: 2

Number of participants (analysed):

Intervention = 45, Control = 43

Description of intervention:

“The intervention involved dissemination of the Tummy Rumbles interactive CD (16) and the Raising Children DVD (17) at baseline in September 2009, accompanied by written instructions for optimal use. The only prompt provided to parents to use the resources was a reminder note delivered by post with the 3‐month follow‐up surveys. To simulate population‐level resource dissemination, further prompting of parents was not conducted.”

“The tummy rumbles interactive nutrition education CD is a self‐directed resource for childcare staff and parents, Raising children is a guide to parenting from birth to 5”

Duration:

12 months

Number of contacts:

DVD and CD played at parents' leisure, 1 contact from researchers at 3 months by phone

Setting:

Home

Modality:

DVD/CD

Interventionist:

N/A (provision of DVD)

Integrity:

“Intervention group participants were considered to have adhered to the study protocol if they reported using both Tummy Rumbles and Raising Children for at least 1 hour each during the intervention period.”

Date of study:

September 2009 to September 2010

Description of control:

Wait‐list control,

A generic nutrition brochure and the Active Alphabet physical activity resource were distributed to the control group to simulate real‐life exposure to control resources and facilitate retention and blinding of the control group. Tummy Rumbles and Raising Children were provided to the control group at trial completion.”

Outcomes

Outcome relating to children's fruit and vegetable consumption:

Child’s consumption of fruits and vegetables (servings) assessed using a semi‐quantitative food frequency questionnaire (FFQ), the Australian Toddler Eating Survey (ATES) completed by parents

Outcome relating to absolute costs/cost effectiveness of interventions:

Not reported

Outcome relating to reported adverse events:

Not reported

Length of follow‐up from baseline:

3 and 12 months

Length of follow‐up post‐intervention:

Immediately

Subgroup analyses:

None

Loss to follow‐up (at 3 and 12 months):

Intervention = 17%, 40%

Control = 24%, 39%

Analysis:

Sample size calculation was performed.

Notes

First reported outcome (serves fruit/day) at 3‐month follow‐up was for inclusion in the short‐term meta‐analysis and 12 month follow‐up for the ≥ 12 months meta‐analysis. Additional data were provided by the author to allow pooling in meta‐analysis

Sensitivity analysis ‐ primary outcome: Primary outcome not stated, power calculation conducted fruit or vegetable intake

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

The random sequence was created by computer‐generated random numbers

Allocation concealment (selection bias)

Low risk

Allocation was concealed given that sequentially‐numbered unopened returned baseline survey envelopes were matched with computer‐generated random numbers

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

Participants were blinded to group allocation throughout the trial

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Participants were blinded to group allocation throughout the trial. The protocol indicates that assessors of the main outcome measures were blinded to participant group allocation

Incomplete outcome data (attrition bias)
All outcomes

High risk

Short‐term attrition was 21% and long‐term attrition was 40%. No imputation of missing data was carried out

Selective reporting (reporting bias)

Low risk

The primary outcomes published in the protocol align with the results reported in the outcomes paper

Other bias

High risk

There were no differences at baseline in parent and child characteristics except for % of parents older than 30 years. There is no mention that this was adjusted for in the analysis

Fildes 2014

Methods

Study design:

Randomised controlled trial

Funding:

"The recruitment of the Gemini cohort was funded by a grant from Cancer Research UK (no. C1418/A7974), and the design and production of the packs used in this study was funded by Weight Concern (registered charity no. 1059686)."

Participants

Description:

Families with 3‐ to 4‐year‐old children from a larger cohort study (the Gemini study)

N (Randomised):

1006 families

Age:

Child (mean): Intervention = 3.9 years, Control = 3.8 years

Parent (mean): Intervention = 38.0 years, Control = 37.3 years

% Female:

Child: Intervention = 49%, Control = 50%

Parent: not specified

SES and ethnicity:

Maternal education (below university level): intervention 49%, control = 49%

Inclusion/exclusion criteria:

Not specified

Recruitment:

“Participants were families with 3‐ to 4‐year‐old children from the Gemini study, a cohort of 2,402 families with twins born during 2007 in England and Wales. Currently active families (n=2,321) were sent information about a study to test a method of increasing children’s acceptance of vegetables”

Recruitment rate:

Families: 43% (1006/2321)

Region:

England and Wales

Interventions

Number of experimental conditions: 2

Number of participants (analysed):

Intervention = 98, Control = 123

Description of intervention:

“The intervention pack contained an exposure instruction leaflet, progress charts, and stickers. The exposure instructions asked parents to offer the child a single very small piece of their target vegetable every day for 14 days, allowing the child to choose a sticker as a reward if they tried it. They were asked to do this separately with each child and outside mealtimes.”

Duration:

14 days

Number of contacts:

14

Setting:

Home

Modality:

Face‐to‐face

Interventionist:

Parents

Integrity:

“Among the 175 returned (89%), the mean number of exposure sessions was 13.8 (range=11 to 14), and children tasted their target vegetables a mean of 12.4 times (range=0 to 14). Children complied with the intervention by trying their target vegetable on an average of 90% (range 0% to 100%) of the exposure days during the experiment phase.”

Date of study:

Unknown

Description of control:

Received no intervention, “Control families were sent the intervention materials on completion of the study.”

Outcomes

Outcome relating to children's fruit and vegetable consumption:

Child’s intake of the target vegetable (number of pieces). Parents “recorded the number of pieces (including half‐pieces) of vegetable the child ate; this comprised the intake measure.”

Outcome relating to absolute costs/cost effectiveness of interventions:

Not reported

Outcome relating to reported adverse events:

Not reported

Length of follow‐up from baseline:

14 days

Length of follow‐up post‐intervention:

Immediately

Subgroup analyses:

None

Loss to follow‐up:

Intervention = 68%

Control = 68%

Analysis:

Unknown if sample size calculation was performed

Notes

Mean and SEM were estimated from a study figure using an online resource (Plot Digitizer: plotdigitizer.sourceforge.net) for intervention and control groups at the end of the experimental phase (T3).

Sensitivity analysis ‐ primary outcome: Fruit or vegetable intake is listed as primary outcome

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Randomly allocated to experimental group but the random sequence generation procedure is not described

Allocation concealment (selection bias)

Unclear risk

There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Vegetable intake:

There is no mention that the parents were blinded and they were cutting and offering the pieces to the child and this could have influenced performance

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Vegetable intake:

There is no mention that the parents were blinded and they were cutting and offering the pieces to the child and so at high risk of detection bias

Incomplete outcome data (attrition bias)
All outcomes

High risk

472 (47%) out of the 1006 randomised returned the outcome data sheets and therefore high risk of attrition bias

Selective reporting (reporting bias)

Unclear risk

There are secondary outcomes reported in the trial registration that are not presented in the outcomes paper

Other bias

High risk

Children in the intervention group had significantly lower intake and liking than the control group at baseline (i.e. baseline imbalances)

Fildes 2015

Methods

Study design:

Randomised controlled trial

Funding:

"This research is supported by European Community’s Seventh Framework Programme (FP7/2007‐2013) under the grant agreement no. 245012‐HabEat. The purees offered to participants in this study and the artichoke and peach purees used as a test food were donated by Danone Nutricia Research."

Participants

Description:

Mothers and their 4‐ to 6‐month‐old infants in the UK, Greece and Portugal

N (Randomised):

146 parent‐infant dyads

Age:

Infant (mean): Intervention = 39.0 weeks, Control = 38.9 weeks

Mother (mean, at child’s birth): Intervention = 33.0 years, Control = 32.7 years

% Female:

Infant: 52%

SES and ethnicity:

Education (below university) = 27%

Inclusion/exclusion criteria:

“Mothers were eligible to participate if they were over 18 years old at recruitment, they were sufficiently proficient in each country’s respective native language to understand the study materials and their infant was born after 37 weeks’ gestation, without diagnosed feeding problems.”

Recruitment:

“Women in the final trimester of their pregnancy and mothers of infants aged less than 6 months were recruited from antenatal clinics (n 327), primary care, paediatricians and hospitals in London (UK), Athens (Greece) and Porto (Portugal) to a larger study exploring children’s fruit and vegetable acceptance during weaning.”

Recruitment rate:

Mothers: 45% (146/327)

Region:

London (UK), Athens (Greece) and Porto (Portugal)

Interventions

Number of experimental conditions: 2

Number of participants (analysed):

Intervention = 71, Control = 68

Description of intervention:

“In the intervention group, a researcher or health professional explained to the participant: (1) the importance of introducing vegetables early in the weaning process, (2) the beneficial effects of offering different single vegetables each day, (3) the techniques of exposure feeding, (4) interpreting infants’ facial reactions to food and (5) the need for persistence when an infant initially rejects a food.

“five vegetables were selected as the first foods to be introduced. They were asked to offer the five vegetables in a sequence over 15 d as follows: A,B,C,D,E, A,B,C,D,E, A,B,C,D,E and to record progress on a chart provided. For a further 5 d, participants were told to continue to offer

vegetables, but in addition, to start to introduce additional age‐appropriate foods.”

Duration:

20 days (15 days exposure, 5 days veg plus other foods)

Number of contacts:

20 (15 veg feeding exposures, 5 veg plus other food exposures)

Setting:

Home or health facility

Modality:

Face‐to‐face + leaflet

Interventionist:

Parent

Integrity:

“Completed intervention charts were returned by 86% of intervention families (UK; 100 % (28/28), Greece; 100 % (16/16), Portugal; 63% (17/27)). Completed charts revealed that over the 15‐d intervention period, parents recorded their infants consuming vegetables on 89% (mean 13·3 (SD 3·0)) of the fifteen possible eating occasions.”

Date of study:

February 2011 and July 2012

Description of control:

Received no intervention, ‘usual care’

Outcomes

Outcome relating to children's fruit and vegetable consumption:

Infant consumption of fruits and vegetables (serves/day). “Mothers reported separately on the frequency of fruit and vegetable servings they had consumed in the past week and the data were recoded to provide an estimation of the total number each of fruit and vegetable portions consumed daily.”

Outcome relating to absolute costs/cost effectiveness of interventions:

Not reported

Outcome relating to reported adverse events:

Not reported

Length of follow‐up from baseline:

1 month

Length of follow‐up post‐intervention:

2 weeks

Subgroup analyses:

None

Loss to follow‐up:

Intervention = 5%

Control = 4%

Analysis:

Sample size calculation was performed.

Notes

First reported outcome (vegetable intake) was extracted for inclusion in meta‐analysis.

Sensitivity analysis ‐ primary outcome: Primary outcome not stated, fruit and vegetable intake 1st listed outcome

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Randomised to experimental group using a block randomisation matrix created by an independent statistician

Allocation concealment (selection bias)

Unclear risk

Allocation was revealed to the researcher, but unclear how or when

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Infant’s consumption of novel vegetable:

Mothers offered and fed the vegetable to infants. Given the nature of the intervention, parents in the intervention arm were not blinded and therefore this could have influenced performance

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Infant’s consumption of novel vegetable:

The outcome was weighed, but it is not clear who weighed the food (mother who fed the child, or researcher who observed the mother feeding the child). The researcher who was present during outcome assessment was the same researcher who delivered the intervention to the mother. The impact on detection bias is unclear

Incomplete outcome data (attrition bias)
All outcomes

Low risk

139/146 (95%) completed the follow‐up and therefore low risk of attrition bias

Selective reporting (reporting bias)

Unclear risk

There is no study protocol therefore it is unclear if there was selective outcome reporting

Other bias

Low risk

Contamination, baseline imbalance, & other bias that could threaten the internal validity are unlikely to be an issue

Fisher 2012

Methods

Study design:

Cluster‐randomised controlled trial

Funding:

“This work was funded by an investigator‐initiated grant to J.O.F. from the Clorox Company, which owns the Hidden Valley, The Original Ranch brand of dressing used in this research. The authors attest to having full scholarly authority over this work and responsibility for the research design and methods, the integrity of the data, the analyses, and the interpretation of the findings.”

Participants

Description:

Preschool‐aged children in Head Start classrooms and their parent

N (Randomised):

155 parent‐child dyads

Age:

Child: 3 to 5 years (mean = 4 years)

Parent: not specified

% Female:

Child: 48%

Parent: not specified

SES and ethnicity:

“predominately Hispanic (88%) children”

“Of participating parents, close to a majority (n=89) reported being married and slightly greater than one‐third (n=51) reported schooling beyond high school.”

Inclusion/exclusion criteria:

No explicit inclusion criteria stated for this trial

Exclusion criteria: “Exclusion criteria included severe food allergies and/or other medical conditions (e.g., diabetes) that might influence the ability to participate in an as‐desired snack and absences at 75% or more of the vegetable exposure trials.”

Recruitment:

“To achieve a target sample size of 37 children per experimental dip condition, eight preschool classrooms within three Head Start Centers were approached to participate. Parents of 166 children were sent letters to request written consent for their own and their child’s participation in the study.”

Recruitment rate:

Parent‐child dyads = 93% (155/166)

Region:

Houston, TX (USA)

Interventions

Number of experimental conditions: 4

Number of participants (analysed):

Plain = 39, Regular = 39, Light = 36, Sauce = 38

142 parents (not specified by group)

Description of intervention:

“At each trial, raw broccoli was presented with 2% milk (8 oz [246 g]) to children in the condition to which they were assigned. Children were instructed to eat as much or as little as desired.”

Plain: “broccoli was served without dressing.”

Regular: “broccoli was served with 2.5 oz of a regular ranch‐flavored salad dressing.”

Light: “broccoli was served with 2.5 oz of a reduced‐energy/fat ranch‐flavored salad dressing.”

Sauce: 2.5 oz of the regular dressing was mixed together with broccoli as a sauce”

Duration:

7 weeks

Number of contacts:

“Thirteen exposure trials (twice per week) took place in children’s classrooms across a 7‐week period.”

Setting:

Preschool

Modality:

Face‐to‐face

Interventionist:

Trained research staff

Integrity:

No information provided

Date of study:

2008

Description of control:

N/A

Outcomes

Outcome relating to children's fruit and vegetable consumption:

Child’s consumption of target vegetables (broccoli) (grams) with/without dressing/sauce. “Weights of broccoli, milk, and the salad dressing (except in the plain condition) were recorded to the nearest 0.1 g once a stable reading was indicated using a calibrated, research grade digital electronic balance before and following the snacks. In the sauce condition, broccoli and the dressing intakes were estimated from the amount of the mixture consumed based on the proportionate contributions of each to the total pre‐weight.”

Outcome relating to absolute costs/cost effectiveness of interventions:

Not reported

Outcome relating to reported adverse events:

Not reported

Length of follow‐up from baseline:

7 weeks

Length of follow‐up post‐intervention:

Immediately

Subgroup analyses:

None

Loss to follow‐up:

Overall = 2% (not specified by group)

Analysis:

Adjusted for clustering

Sample size calculation was performed

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

(Authors describe as a quasi‐experimental design although appear to have randomised classrooms).

Randomly allocated to experimental group but the random sequence generation procedure is not described

Allocation concealment (selection bias)

Unclear risk

(Authors describe as a quasi‐experimental design although appear to have randomised classrooms).

There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

Vegetable intake (objective):

Objective measure of child’s vegetable intake and unlikely to be influenced by performance bias

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Vegetable intake (objective):

Objective measure of child’s vegetable intake and whether those who weighed the food were blinded is unlikely to have an impact on detection bias

Incomplete outcome data (attrition bias)
All outcomes

Low risk

152/155 (98%) completed the study and therefore risk of attrition bias is low

Selective reporting (reporting bias)

Unclear risk

There is no study protocol therefore it is unclear if there was selective outcome reporting

Other bias

Unclear risk

There is insufficient information about baseline imbalances and whether clustering was adjusted for in the analyses

Forestell 2007

Methods

Study design:

Randomised controlled trial

Funding:

“This work was supported by National Institutes of Health grant HD37119. Dr Forestell was the recipient of a Canadian Institutes of Health research postdoctoral fellowship.”

Participants

Description:

Children aged 4‐8 months and their mother

N (randomised):

45 mother‐infant dyads

Age:

Infant (mean): green bean group = 5.6 months, green bean/peaches group = 5.9 months

Mother (mean): green bean group = 32.2 years, green bean/peaches group = 31.6 years

% Female:

Infant: green bean group = 38%, green bean/peaches group = 52%

SES and ethnicity:

Years of schooling (mean): green bean group = 14.7 years, green bean/peaches group = 14.8 years

Inclusion/exclusion criteria:

Inclusion criteria: infants had to be born at term, healthy, currently aged between 4 and 8 months and had been weaned to cereal with very little experience with fruits and vegetables.

Recruitment:

“….recruited through advertisements in local newspapers, breastfeeding support groups, and the Supplemental Nutrition Program for Women, Infants, and Children in Philadelphia, Pennsylvania.”

Recruitment rate:

Unknown

Region:

Pennsylvania, USA

Interventions

Number of experimental conditions: 2

Number of participants (analysed):

Green bean group: 12

Green bean/peaches group: 26

Description of intervention:

Green bean group: fed greens beans throughout the 8‐day home exposure period.

Green bean/peaches group: fed greens beans and then within 1 h peaches throughout the 8‐day home exposure period.

Both groups were fed green beans in the lab on days 1 and 2 and peaches on days 11 and 12.

Duration:

12 days

Number of contacts:

12 exposures (8‐day home exposure + 3 lab exposures/test days)

Setting:

Home + lab

Modality:

Face‐to‐face

Interventionist:

Mother

Integrity:

“To increase compliance, telephone contact was made with the mothers, who recorded the time of day and types and quantities of foods and liquids they fed their infants throughout the study. All of the mothers complied with these instructions.”

Date of study:

Unknown

Description of control:

N/A

Outcomes

Outcome relating to children's fruit and vegetable consumption:

Consumption of green beans and peaches (grams) assessed by weighing the amount

of the food in the jar before and after consumption

Outcome relating to absolute costs/cost‐effectiveness of interventions:

Not reported

Outcome relating to reported adverse events:

Not reported

Length of follow‐up from baseline:

12 days

Length of follow‐up post‐intervention:

Immediately

Subgroup analyses:

None

Loss to follow‐up:

Green bean group: 25%

Green bean/peaches group: 10%

Analysis:

Unknown if sample size calculation was performed

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

“Infants were assigned randomly to 1 of 2 treatment groups.”

It is unclear how randomisation occurred.

Allocation concealment (selection bias)

Unclear risk

There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed from those conducting the research.

Blinding of participants and personnel (performance bias)
All outcomes

Unclear risk

“One group (group GB) was fed green beans, whereas the other (group GB‐P) was fed green beans and then (within 1 hour) peaches throughout the 8‐day home‐exposure period (days 3–10).”

“To increase compliance, telephone contact was made with the mothers, who recorded the time of day and types and quantities of foods and liquids they fed their infants throughout the study.”

Blinding of outcome assessment (detection bias)
All outcomes

High risk

“Mothers fed at their customary pace until the child rejected the food 3 consecutive times or finished 2 jars of food.”

Due to the nature of the intervention, mothers would have been aware of the infant’s group allocation, and this may have impacted the results.

Incomplete outcome data (attrition bias)
All outcomes

High risk

“Four infants were excluded from the analyses of green bean acceptance (4/16)and 3 from those of peach acceptance (3/29) because mothers were non‐compliant with test procedures (n=2), infants were sick during testings or exposure (n=2), or infants ate the maximum amount of food offered during their initial exposure (n=3)”

Selective reporting (reporting bias)

Unclear risk

There is no trial registration or protocol.

Other bias

Low risk

None identified

Gerrish 2001

Methods

Study design:

Randomised controlled trial

Funding:

“Supported by grants HD37119 and HD08428 from the National Institutes of Health and by a grant from the Gerber Companies Foundation. The Gerber Products Company supplied the baby foods used in this study.”

Participants

Description:

Mothers with healthy, term infants

N (Randomised):

48 mother‐infant dyads

Age:

Infant (mean): carrot group = 4.6 months, potato group = 4.5 months, variety group = 4.8 months

Mother (mean): carrot group = 27.4 years, potato group = 25.4 years, variety group = 29.9 years

% Female:

Infant: carrot group = 50%, potato group = 50%, variety group = 50%

SES and ethnicity:

“The racial background of the mothers and their infants was 45.8% African American, 39.6% white, 2.1% Hispanic, and 12.5% other ethnic groups.”

Inclusion/exclusion criteria:

Inclusion criteria: non‐smoking mothers, began feeding cereal to their infants in the past month and planned on introducing other solid foods during the next few weeks, and only mothers of formula‐fed infants.

Recruitment:

“recruited from advertisements in local newspapers and from Women, Infant and Children programs in Philadelphia.”

Recruitment rate:

Unknown

Region:

Philadelphia, USA

Interventions

Number of experimental conditions: 3

Number of participants (analysed):

Carrot group: 16

Potato group: 16

Variety group: 16

Description of intervention:

Carrot group: during the home exposure period infants were fed pureed carrots only (the target vegetable).

Potato group: during the home exposure period infants were fed pureed potatoes only.

Variety group: during the home exposure period infants were fed a variety of vegetables that did not include carrots (potato, squash, peas).

All groups were fed pureed carrots in the lab on days 1 and 11.

Duration:

11 days

Number of contacts:

11 exposures (9 day home exposure + 2 lab exposures/test days)

Setting:

Home + lab

Modality:

Face‐to‐face

Interventionist:

Mothers

Integrity:

“To encourage compliance, each mother kept a daily record of what they fed their infants, and daily phone contact was made with each mother during the exposure period.”

Date of study:

Unknown

Description of control:

N/A

Outcomes

Outcome relating to children's fruit and vegetable consumption:

Consumption of pureed carrots (grams): assessed by weighing the amount of the food in the jar before and after consumption using a top‐loading balance.

Outcome relating to absolute costs/cost‐effectiveness of interventions:

Not reported

Outcome relating to reported adverse events:

Not reported

Length of follow‐up from baseline:

11 days

Length of follow‐up post‐intervention:

Immediately

Subgroup analyses:

None

Loss to follow‐up:

No loss to follow‐up

Analysis:

Unknown if sample size calculation was performed

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

“Randomly assigned to one of 3 experimental groups” not enough information reported.

Randomly allocated to experimental group but the random sequence generation procedure is not described.

Allocation concealment (selection bias)

Unclear risk

No information reported

There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed.

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Mothers fed their infants and there is no mention of blinding and so high risk of performance bias

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Vegetable intake was determined by weighing vegetables and therefore low risk of detection bias.

Incomplete outcome data (attrition bias)
All outcomes

Low risk

No loss to follow‐up – 16 dyads per group

All participants recruited completed the study and therefore at low risk of attrition bias

Selective reporting (reporting bias)

Unclear risk

No trial protocol is available

Other bias

Low risk

Low risk of other bias

Haire‐Joshu 2008

Methods

Study design:

Cluster‐randomised controlled trial

Funding:

"Funding for this work was provided by National Cancer Institute (R01 CA68398)."

Participants

Description:

Parents and their children participating in the 'Parents as Teachers' (PAT) programme sites in rural Missouri (USA)

N (Randomised):

16 PAT sites, 1658 families

Age:

Children:

1 to 3 y: intervention = 67%, control = 61%

4 to 6 y: intervention = 33%, control = 40%

Parents:

< 25 y: intervention = 28%, control = 21%

25 to 29 y: intervention = 35%, control = 33%

30 to 34 y: intervention = 21%, control = 24%

35+ y: intervention = 17%, control = 23%

% Female:

Children: intervention = 47%, control = 49%

Parents: intervention = 99%, control = 98%

SES and ethnicity:

Parent ‐ Not high school graduate: intervention = 16%, control = 11%

Parent ‐ College graduate: intervention = 20%, control = 25%

Household income:

< USD 20K: intervention = 30%, control = 25%

USD 20K to 35K: intervention = 30%, control = 25%

USD 35K to 50K: intervention = 13%, control = 18%

USD 50+K: intervention = 28%, control = 32%

Ethnicity ‐ White: intervention = 86%, control = 80%

Inclusion/exclusion criteria:

Not specified

Recruitment:

"16 PAT programs from rural, southeast Missouri were recruited into the study. Within these sites 2012 families enrolled were assessed for eligibility and willingness to participate by parent educators." PAT is a "parenting and child development program with over 3000 sites across all 50 states and 8 US territories." PAT provides free services on "an annual basis to parents at the time of pregnancy until the youngest child is 3 years of age. However, PAT extends services until the youngest child is 5 years of age in the case of underserved families, defined as single or minority parent homes, those living in poverty or low parent education. In addition, underserved families may receive additional home visits as a means of ensuring complete delivery of the curriculum."

Recruitment rate:

Families: 79% families

PAT sites: unknown

Region:

Rural southeast Missouri (USA)

Interventions

Number of experimental conditions: 2

Number of participants (analysed):

Intervention = 605, Control = 701

Description of intervention:

Intervention families received the standard PAT program plus the 'Hi 5 for Kids' (H5‐KIDS) protocol. "H5‐KIDS was comprised of three components: a tailored newsletter, a series of home visits, and materials for the parent and child, including storybooks."

Computer‐tailored nutrition newsletter

"To develop the tailored newsletter, parents were first formally enrolled in H5‐KIDS and completed a pretest interview. Relevant data was then imported into an in‐house computer‐based tailoring program. Scores were calculated based on FV knowledge and intake, frequency of parental modeling, style of parenting (coercive or non‐coercive), and quality of the home food environment (FV availability). Each newsletter began with a bulleted tailored statement that included the self reported servings of FVs the parent and the child consumed per day. Additional parent data (e.g. FV knowledge, parental role modeling, non‐coercive parenting skills, FV availability) were each uniquely used to individualize messages and describe the themes of each of the four storybook sets the family would receive at their home visits. For example, if participant data indicated a parent did not eat FV in front of their child very often (< 7/week), the tailored messages would emphasize the importance of modeling FV intake in front of the child as a means of improving consumption, and provide relevant examples of how this could be accomplished. The parent was then referred to H5‐KIDS storybooks that provided examples of modeling for the child. In contrast, parents who scored appropriately in each individual area received messages of praise encouraging them to continue their behaviors. Newsletters were mailed to the parent's home at the beginning of the program."

Home visits

"Parent educators delivered four H5‐KIDS home visits, each of which addressed the core program areas (knowledge, parental modeling of FV intake, non‐coercive feeding practices, FV availability). Parent educators then reinforced the core content in subsequent visits. Consistent with the philosophy of the PAT program, each visit provided examples of parent–child activities designed around healthy nutrition, that the parent could use to promote the child's language and cognitive ability, and fine and gross motor skill development (e.g. having the child learn the names and colors of various FV; child assists with selecting a variety of FV for breakfast). As part of each visit, parents also received materials and informational handouts with suggestions for improving feeding practices and the food environment in the home. Consistent with the standard PAT program, each home visit was designed to allow for 60 min of contact."

Sing‐a‐long storybooks with audio cassette

"At each home visit children received a H5‐KIDS sing‐a‐long storybook with audio cassette tape and a coloring book. Each storybook reinforced one of the core areas of the H5‐KIDS program through the use of child friendly characters and appealing storylines presented through songs."

Duration:

60 minutes per home visit

Number of contacts:

4 H5‐KIDS home visits plus 5 standard PAT home visits

Setting:

Home

Modality:

Face‐to‐face via home visits

Interventionist:

Parent educators who received 4 hours of training on nutrition content and overview of materials

Integrity:

"The H5‐KIDS program was delivered in its entirety to 78% of intervention families."

Date of study:

2001 to 2006

Description of control:

"Parent educators deliver a standardized curriculum via at least five home visits, on‐site group activities and newsletters." ("PAT ... empowers parents ... by encouraging positive parent‐child communication and increasing parents' knowledge of ways to stimulate children's social and physical development.")

Outcomes

Outcome relating to children's fruit and vegetable consumption:

Child's daily servings of fruits and of vegetables assessed using the Saint Louis University for Kids Food Frequency Questionnaire (SLU4Kids FFQ) administered by parent telephone survey

Length of follow‐up from baseline:

Average time to follow‐up was 7 months (range 6 to 11 months)

Subgroup analyses:

Normal weight vs overweight children

Loss to follow‐up:

Intervention: 15% (+ 5% missing or inconsistent data)

Control: 17% (+ 5% missing or inconsistent data)

Analysis:

Analysis was not adjusted, but justification was provided. "There was minimal impact of grouping by site on the principle measures of impact in this study (ICC child fruit and vegetable servings = 0.00095 and ICC parent fruit and vegetable servings = 0.01). Therefore, the analyses did not adjust for group."

Sample size calculation was performed.

Notes

The proportion of normal weight vs overweight children not reported, making it difficult to interpret the subgroup analysis. First reported outcome (fruit intake) was extracted for inclusion in meta‐analysis.

Sensitivity analysis ‐ primary outcome: Primary outcome not stated, fruit or vegetable intake only reported outcome.

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

"A computer generated number table was used for random assignment to intervention or control."

Allocation concealment (selection bias)

High risk

"Families enrolled in PAT were assessed for eligibility and willingness to participate by parent educators." Contact with the author indicated that parent educators were aware of site allocation when they were enrolling participants to the trial

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Study personnel were aware of allocation ‐ "Sites were not blind to assignment." Contact with the author indicated that parent participants completed a consent form which described the activities of their experimental condition, and were therefore unlikely to be blind to allocation. Given the trial outcomes were based on parental report, the review authors judged there was potential for performance bias

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Contact with the author indicated that outcome assessors were blind to group allocation

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Rates of loss to follow‐up (intervention = 15%, control = 17%) and missing/ inconsistent data (intervention = 5%, control = 5%) were similar across groups. No information was provided about reasons for loss to follow‐up

Selective reporting (reporting bias)

Unclear risk

A subgroup analysis was conducted based on child's weight status (normal vs overweight). "A final limitation of the study is the limited power to definitely assess the impact of the intervention of children within weight status subgroups." It is unclear whether the subgroup analysis was pre‐specified.

Other bias

Low risk

Rationale provided for not adjusting analysis for clustering. "There was minimal impact of grouping by site on the principle measures of impact in this study (ICC child fruit and vegetable servings = 0.00095 and ICC parent fruit and vegetable servings = 0.01). Therefore, the analyses did not adjust for group."

No further risks of bias identified.

Harnack 2012

Methods

Study design:

Randomised controlled trial – cross‐over

Funding:

"Funded by a grant from the Robert Wood Johnson Foundation Healthy Eating Research program."

Participants

Description:

Preschool‐aged children attending a Head Start centre in Minneapolis, Minnesota, USA

N (Randomised):

57 children

Age:

2 to 3 years = 51%

4 to 5 years = 49%

% Female:

Not specified

SES and ethnicity:

Child: Non‐Hispanic African‐American = 76%, Hispanic or Latina/Latino = 6%, Multi‐racial = 13%, American Indian = 4%, Non‐Hispanic White = 2%

Parent education: Less than high school = 9%, High school graduate = 42%, Some college = 49%

Inclusion/exclusion criteria:

Not specified

Recruitment:

“Children in three preschool classrooms were recruited. A consent form and letter explaining the study was sent to parents.”

Recruitment rate:

98% (57/58)

Region:

Minneapolis, Minnesota (USA)

Interventions

Number of experimental conditions: 3

Number of participants (analysed):

Overall = 53

Description of intervention:

Fruit and vegetable first: “During the fruit and vegetable first experimental weeks all fruits and non‐starchy vegetables on the lunch menu were served traditional family style five minutes in advance of other menu items. Children were allowed to begin eating the fruit and vegetable items served first, with the remaining menu items (e.g. milk, entrée, side dishes) placed on the tables for traditional family style meal service five minutes following distribution of the first course. All other usual meal service practices remained the same during the fruit and vegetable first experimental condition.”

Provider portioned: “During the provider portioned experimental condition, a plate was prepared for each child that contained a specific quantity of each menu item.”

Duration:

“Each condition was implemented for two one‐week periods over the six week period, for a total of two weeks per condition”

Number of contacts:

Unclear, each day of the 6‐week period (dependent on how many days children attend)

Setting:

Preschool

Modality:

Face‐to‐face

Interventionist:

Classroom teachers

Integrity:

No information provided

Date of study:

Unknown

Description of control:

Usual ‘control’ meal service:

"During each day of the control weeks, the usual traditional family style meal service approach to serving lunch meals at the center was followed. During usual lunch meals at the center children are seated around tables, and each food item on the menu is passed around the table from child to child in serving bowls for self‐service.”

Outcomes

Outcome relating to children's fruit and vegetable consumption:

Child’s consumption of fruit and vegetable serves (1 cup equivalents).

Study staff trained and certified in conducting lunch observations recorded food intake on a meal observation form. “The lunch observation data were entered into Nutrition Data System for Research (NDSR), a dietary analysis software program.”

Outcome relating to absolute costs/cost effectiveness of interventions:

Not reported

Outcome relating to reported adverse events:

Not reported

Length of follow‐up from baseline:

6 weeks

Length of follow‐up post‐intervention:

Immediately

Subgroup analyses:

None

Loss to follow‐up:

Overall = 7%

Analysis:

Unknown if sample size calculation was performed

Notes

Sensitivity analysis ‐ primary outcome: Primary outcome not stated, fruit and vegetable intake is the only outcome

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Randomly allocated to experimental group but the random sequence generation procedure is not described

Allocation concealment (selection bias)

Unclear risk

There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed

Blinding of participants and personnel (performance bias)
All outcomes

Unclear risk

Intake:

There is no mention if children were blinded and so it is unclear how this may impact children’s vegetable intake

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Intake:

Observers made visual estimations of food amounts to determine the amount taken but it is unclear if observers were blinded to condition. Food amounts may not be accurately estimated by observers

Incomplete outcome data (attrition bias)
All outcomes

Low risk

3/57 (93%) completed the study and therefore the risk of attrition bias is low

Selective reporting (reporting bias)

Unclear risk

There is no study protocol therefore it is unclear if there was selective outcome reporting

Other bias

Low risk

Contamination, baseline imbalance, & other bias that could threaten the internal validity are unlikely to be an issue

Hausner 2012

Methods

Study design:

Cluster‐randomised controlled trial

Funding:

"The research leading to these results has received funding from the European Community’s Seventh Framework Programme (FP7/2007‐2013) under the Grant Agreement No. FP7‐245012‐HabEat.”

Participants

Description:

Children aged 2 to 3 years from 5 nurseries in the Copenhagen area and suburbs

N (Randomised):

104 children (“from 5 nurseries, involving 17 groups”)

Age:

Mean: Mere exposure group = 27.8 months, Flavour‐flavour learning group = 27.5 months, Flavour‐nutrient learning group = 30.8 months

% Female:

Mere exposure group = 63%, Flavour‐flavour learning group = 42%, Flavour‐nutrient learning group = 54%

SES and ethnicity:

Not specified

Inclusion/exclusion criteria:

Not specified

Recruitment:

“Children aged 2–3 years were recruited for the experiment from five nurseries, involving 17 groups, in the Copenhagen area and suburbs.”

Recruitment rate:

Unknown

Region:

Denmark

Interventions

Number of experimental conditions: 3

Number of participants (analysed):

Mere exposure group = 20

Flavour‐flavour learning group = 30

Flavour‐nutrient learning group = 21

Description of intervention:

Mere exposure group, exposed to unmodified artichoke puree 10 times

Flavour‐flavour learning group, exposed to a sweetened artichoke puree 10 times

Flavour‐nutrient learning group, exposed 10 times to an energy dense artichoke puree with added fat

Duration:

4 weeks

Number of contacts:

10 exposures

Setting:

Preschool

Modality:

Face‐to‐face

Interventionist:

Nursery staff

Integrity:

No information provided

Date of study:

Unknown

Description of control:

N/A

Outcomes

Outcome relating to children's fruit and vegetable consumption:

Child’s consumption of unmodified artichoke puree (grams). “Testing took part in group rooms. The children were seated at tables where they would normally eat their lunch to mimic the natural eating environment. The purées were served in preweighted plastic cups at room temperature. The standard serving size was 100 g for artichoke and 130 g carrot. Intake was measured individually and recorded for all sessions with a precision of 1 g.”

Outcome relating to absolute costs/cost‐effectiveness of interventions:

Not reported

Outcome relating to reported adverse events:

Not reported

Length of follow‐up from baseline:

5 and 8 months

Length of follow‐up post‐intervention:

3 and 6 months

Subgroup analyses:

None

Loss to follow‐up (at 3 and 6 months):

Mere exposure group = 9%, 38%

Flavour‐flavour learning group = 21%, 9%

Flavour‐nutrient learning group = 23%, 46%

Analysis:

Adjusted for clustering (ANOVA proc mixed models).

Unknown if sample size calculation was performed.

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Randomly allocated to experimental group but the random sequence generation procedure is not described

Allocation concealment (selection bias)

Unclear risk

There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

Vegetable intake:

Objective measure of child’s vegetable intake and unlikely to be influenced by performance bias

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Vegetable intake:

Intake was weighed and therefore it is unlikely that this would be influenced by detection bias

Incomplete outcome data (attrition bias)
All outcomes

High risk

Of 104 children, 71 (68%) completed the 6‐month follow‐up and therefore at high risk of attrition bias

Selective reporting (reporting bias)

Unclear risk

There is no study protocol therefore it is unclear if there was selective outcome reporting

Other bias

Unclear risk

The groups differed in age, but age was included as a covariate to correct for the possible influence on intake. Therefore the risk of other bias is unclear

Heath 2014

Methods

Study design:

Randomised controlled trial ‐ within subject

Funding:

“This work was supported by a University of Reading Life Sciences Studentship to the first author.”

Participants

Description:

Families with children aged between 20 and 24 months

N (Randomised):

60 parent‐child dyad

Age:

Child (mean): 22 months (range 20‐24 months)

Parent: NR

% Female:

Child = 48%

Parent: NR

SES and ethnicity:

“78% came from a household where at least one parent was educated to graduate level.”

“88% of families were white"

Inclusion/exclusion criteria:

Not specified

Recruitment:

“families with children aged between 20 and 24 months were recruited from the University of Reading’s Child Development Group database”

“Parents were contacted by telephone and given a brief overview of the experiment. If a parent gave consent to their participation, the child was randomly allocated to one of three initial status”

Recruitment rate:

100%

Region:

UK

Interventions

Number of experimental conditions: 3

Number of participants (analysed): 57

Description of intervention:

Parents were asked whether their child liked, disliked or had not tried each vegetable listed in the Vegetable Liking and Familiarity Questionnaire. For each child, two vegetables were randomly selected from those for which the parent’s responses matched the initial status set to which the child had been assigned; these became the target (exposed) and control (non‐exposed) foods for that child.

Parents were sent a picture book about their child’s target vegetable ‐ the books consisted of pictures and information about the target vegetable.

Duration:

2 weeks

Number of contacts:

14 readings (5 min/d, 2 weeks)

Setting:

Home + lab

Modality:

Face‐to‐face

Interventionist:

Parents

Integrity:

“the last page contained a tick‐sheet reading record upon which parents were asked to note how many times they looked at the book with their child.”

“According to the reading records provided by parents, children saw their book an average of 14.9 times (SD = 9.9) during the exposure phase”

Date of study:

Unknown

Description of control:

N/A

Outcomes

Outcome relating to children's fruit and vegetable consumption:

Consumption of target vegetable they had seen in their book and a non‐exposed control vegetable of the same initial status (proportion): “Amount consumed” was coded as a proportion of the portion provided, again using a 5‐point scale (0 = none, 1 = nibble, 2 = less than ½ tsp, 3 = ½ tsp, 4 = whole portion).”

Outcome relating to absolute costs/cost‐effectiveness of interventions:

Not reported

Outcome relating to reported adverse events:

Not reported

Length of follow‐up from baseline:

14 days (unless rescheduled)

Length of follow‐up post‐intervention:

Immediately

Subgroup analyses:

None

Loss to follow‐up:

5%

Analysis:

Unknown if sample size calculation was performed

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Randomly allocated to experimental group but the random sequence generation procedure is not described.

Allocation concealment (selection bias)

Unclear risk

There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed.

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

The likelihood of performance bias in relation to vegetable consumption is low, given the children’s age.

Blinding of outcome assessment (detection bias)
All outcomes

High risk

No blinding. The coder was not blind to the liked/disliked or target/control food on each trial and so high risk of detection bias even though a second blind coder independently coded 20% of the recorded test sessions.

Incomplete outcome data (attrition bias)
All outcomes

Low risk

There were 57/60 infants who completed the study. Attrition rate < 20% and therefore low risk of attrition bias.

Selective reporting (reporting bias)

Unclear risk

No trial protocol

Other bias

Low risk

Low risk of other bias

Hetherington 2015

Methods

Study design:

Randomised controlled trial

Funding:

“Funding received through the EC Seventh Framework Programme (FP7/2007‐2013) under the IAPP 230637 “VIVA: V is for Vegetable – Applying Learning theory to increase liking and intake of vegetables”

Participants

Description:

Mothers with infants under 12 weeks old

N (Randomised):

40 mother‐infant dyads (20 intervention, 20 control)

Age:

Infant (mean): Intervention = 4.78 months, Control = 4.88 months

Mother (mean): Intervention = 33.7 years, Control = 30.9 years

% Female:

Infant: 57%

SES and ethnicity:

Not specified

Inclusion/exclusion criteria:

Not specified

Recruitment:

“Mothers were recruited from the local community using widespread advertising within mother and baby groups and a recruitment agency.”

Recruitment rate:

83% (40/48)

Region:

UK

Interventions

Number of experimental conditions: 2

Number of participants (analysed):

Intervention = 17, Control = 18

Description of intervention:

“IG infants received 12 daily exposures to vegetable puree added to milk (days 1–12), then 12 x 2 daily exposures to vegetable puree added to baby rice at home (days 13–24). Then both groups received 11 daily exposures to vegetable puree (days 25‐35). They were each given a pack containing a 35 day diary and all of the equipment and foodstuffs they would need to complete the study. They were informed that breast or formula feeding should continue as normal.”

Duration:

24 days

Number of contacts:

24 exposures (daily)

Setting:

Home + lab

Modality:

Face‐to‐face

Interventionist:

Parents

Integrity:

“Another possible limitation of the study was that most of the intervention was conducted at home. It is then difficult to ensure that instructions were strictly followed.”

Date of study:

Recruitment took place between September 2011 and May 2012.

Description of control:

“Plain milk and cereal were given to the control group (days 1‐24)”.

Outcomes

Outcome relating to children's fruit and vegetable consumption:

Consumption of vegetables (grams) measured by “a small set of portable digital pocket scales (MYCO MZ‐100, Dalman) to weigh accurately intakes (i.e. by weighing bottles or bowls before and after each feed) of all feeds consumed across the day.”

Outcome relating to absolute costs/cost effectiveness of interventions:

Not reported

Outcome relating to reported adverse events:

Not reported

Length of follow‐up from baseline:

35 days, 6 months and 18 months

Length of follow‐up post‐intervention:

Immediate

Subgroup analyses:

None

Loss to follow‐up (immediate, 6 months, 18 months):

Intervention = 15%, 25%, 45%

Control = 10%, 20%, 15%

Analysis:

Unknown if sample size calculation was performed.

Notes

First reported outcome (vegetable intake grams during laboratory session) at immediate follow‐up was extracted for inclusion in meta‐analysis.

Sensitivity analysis ‐ primary outcome: Primary outcome not stated, fruit and vegetable intake 1st listed outcome in abstract

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

“Mothers were randomised to either the intervention (n = 20) or control group (n = 20) after they had consented to the study and before they had completed any questionnaires.”

No information provided about the randomisation procedure

Allocation concealment (selection bias)

Unclear risk

No information provided about allocation concealment

Blinding of participants and personnel (performance bias)
All outcomes

High risk

The participants were aware of whether or not they were adding vegetable puree to milk and rice cereal

No blinding, and the outcome is likely to be influenced by lack of blinding

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Food intake was weighed which would be low risk. However, "the researcher and mother made a joint decision on when 3 refusals were reached". This may have impacted on outcome assessment

Incomplete outcome data (attrition bias)
All outcomes

Low risk

“Forty parents provided informed consent for their infants to take part in the study; however, complete data were collected on 36 mother–infant dyads.”

For outcome of vegetable intake grams during laboratory session 17 mothers in the intervention group and 18 mothers in the control group provided data.

“At 6 months follow‐up, 15 mothers in the IG completed the two feeding sessions, while 16 mothers completed them in the CG (86% return rate).”

Selective reporting (reporting bias)

Unclear risk

No protocol listing prespecified outcomes

Other bias

Unclear risk

Recruitment bias may be an issue due to the method used. Baseline table showed that groups appeared similar, so there does not appear to be a high risk of bias. However there is not enough info to determine the level of risk.

“Mothers were recruited from the local community using widespread advertising within mother and baby groups and a recruitment agency between September 2011 and May 2012.”

“In total, the research team made contact with 48 mothers and from this initial contact 40 mothers were screened and accepted into the study.”

Hunsaker 2017

Methods

Study design:

Randomised controlled trial

Funding:

Not reported

Participants

Description:

Children enrolled in the university‐based preschool during the 2013‐2014 academic year and their parents

N (Randomised):

65 parent‐child dyads

Age:

Intervention (mean): 5 years

Control (mean): 5 years

% Female:

Intervention: 38%

Control: 64%

SES and ethnicity:

Monthly income (mean): Intervention = USD 6100, Control = USD 5336

Parent education

High school: intervention = 0%, control = 3%; some college: intervention = 0%, control = 6%; Bachelor’s degree: intervention = 45%, control = 55%; Graduate degree: intervention = 45%, control 30%

Ethnicity

Non‐Hispanic white: intervention = 84%, control = 94%; Hispanic: intervention = 3%, control = 0%; Asian: intervention = 6%, control = 0%; Biracial: intervention = 6%, control = 6%

Inclusion/exclusion criteria:

No explicit inclusion/exclusion criteria stated for this trial, however the children had to be enrolled in the university‐based preschool during academic year 2013‐14 and were excluded if they participated in the 2012‐2013 academic year.

Recruitment:

“The parent who self‐identified as most responsible for preparing the child's meals was invited to complete the surveys. Preschool personnel sent an email inviting parents to consent to participate. Consent was obtained through an online survey.”

Recruitment rate:

65% (65/100)

Region:

USA

Interventions

Number of experimental conditions: 2

Number of participants (analysed):

Intervention = 32 parent‐child dyads, control = 33 parent‐child dyads

Description of intervention:

Parents received a health report describing their child’s average daily fruit and vegetable consumption along with the guidelines that children should consume 5 fruits and vegetables per day. Parents were also given a standardized set of recommendations for increasing fruit and vegetable intake as well as more comprehensive recommendations for how to increase their child’s fruit and vegetable intake (i.e. a more detailed list of parent behaviours to increase consumption).

Duration:

4 weeks

Number of contacts:

Parents received one health report

Setting:

Home

Modality:

Written materials

Interventionist:

Preschool personnel provided the report

Integrity:

No information provided

Date of study:

2013‐2014 academic year

Description of control:

“A delayed intervention group completed the initial baseline assessment but received no intervention until after the completion of the week 4 assessment.”

Outcomes

Outcome relating to children's fruit and vegetable consumption:

Children’s consumption of fruit and vegetables (servings per day): “Parents of both groups completed the NCI Fruit and Vegetable Screener Questionnaire…. This measure was adapted to ascertain fruit and vegetable consumption over the previous week to allow for more frequent measurement of intake.”

Outcome relating to absolute costs/cost‐effectiveness of interventions:

Not reported

Outcome relating to reported adverse events:

Not reported

Length of follow‐up from baseline:

4 weeks

Length of follow‐up post‐intervention:

Immediately

Subgroup analyses:

None

Loss to follow‐up:

There was no loss to follow‐up

Analysis:

Unknown if sample size calculation was performed

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

“Participants were randomly assigned to either an intervention (n=32) or a control (n=33) group using a random number generator.”

Unclear how the sequence was generated

Allocation concealment (selection bias)

Unclear risk

There is no mention of allocation concealment.

Blinding of participants and personnel (performance bias)
All outcomes

Unclear risk

It is unclear whether those delivering the intervention, or the parents receiving the intervention were aware of their experimental group allocation.

Blinding of outcome assessment (detection bias)
All outcomes

High risk

“Parents completed the NCI Fruit and Vegetable Screener Questionnaire as an online survey.”

Child fruit and vegetable consumption assessed via parent self‐report

Incomplete outcome data (attrition bias)
All outcomes

High risk

“In study 2, 22.6%, 44.4%, and 14% of combined fruit and vegetable data were missing at times 1, 2, and 3, respectively. Missing values analysis determined that data were missing at random; thus the researchers used full information maximum likelihood estimation.”

Greater than 20% missing data at two time points, with over 40% of data missing at Time 2

Selective reporting (reporting bias)

Unclear risk

There is no trial registration or protocol paper.

Other bias

Low risk

No other source of bias was identified.

Keller 2012

Methods

Study design:

Randomised controlled trial

Funding:

"Funding for this study came from NIH grant K01DK068008 and a St. Luke's Roosevelt Hospital Pilot Award. Additional support came from the Obesity Research Center Grant"

Participants

Description:

Healthy children aged 4 to 5 years from diverse ethnic backgrounds

N (Randomised):

19 children

Age:

4 to 5 years

% Female:

Not specified

SES and ethnicity:

“from diverse ethnic backgrounds.”

Inclusion/exclusion criteria:

“All the children were “at risk for obesity,” based on having at least one parent with a BMI≥25 kg/m2, and they had to consume fewer than two servings of F&V per day, based on parental report during a screening phone call.”

Recruitment:

Not specified

Recruitment rate:

Unknown

Region:

Pennsylvania (USA)

Interventions

Number of experimental conditions: 2

Number of participants (analysed):

Intervention = 7, Control = 9

Description of intervention:

“Families in both groups attended weekly, small‐group sessions with the researchers where baseline measures were taken and family‐based nutrition education was delivered.”

Children in the intervention group were “given F&V in containers decorated with their favorite cartoon characters. In addition, a sticker was included inside each decorated container to simulate the practice of premiums used by the food industry; children were allowed to collect these stickers on a game board to cash in for a prize the following week.”

Duration:

7 weeks

Number of contacts:

Weekly group sessions and offered F&V containers 3 times a day

Setting:

Home + Lab

Modality:

Face‐to‐face

Interventionist:

Parents and researchers

Integrity:

No information provided

Date of study:

Unknown

Description of control:

“Children who were in the control group received F&V in plain plastic containers throughout the study”

Outcomes

Outcome relating to children's fruit and vegetable consumption:

Child’s consumption of fruit and vegetables (grams, servings per day). F&V containers were stored by parents throughout the study period and taken back to the lab to be weighed

Outcome relating to absolute costs/cost effectiveness of interventions:

Not reported

Outcome relating to reported adverse events:

Not reported

Length of follow‐up from baseline:

7 weeks

Length of follow‐up post‐intervention:

Immediately

Subgroup analyses:

None

Loss to follow‐up:

Overall = 16% (not specified by group)

Analysis:

Unknown if sample size calculations performed.

Notes

First reported outcome (grams vegetables/week) was extracted for inclusion in the meta‐analysis.

Sensitivity analysis ‐ primary outcome: Primary outcome not stated, fruit or vegetable intake only outcome reported

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

There is not enough information to determine the sequence generation

Allocation concealment (selection bias)

Unclear risk

There is not enough information to determine allocation concealment

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

The outcome is objective consumption of fruit & veg which is unlikely to be influenced by lack of participant & personnel blinding

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Objective assessment (weight) of fruit and vegetable consumption therefore low risk

Incomplete outcome data (attrition bias)
All outcomes

High risk

16/19 (84%) children completed the 7‐week study, however 3 children were excluded from the analysis. Intention‐to‐treat analysis was not used, therefore high risk of bias

Selective reporting (reporting bias)

Unclear risk

There is not enough information to determine if there is any reporting bias

Other bias

Unclear risk

There is baseline imbalance between the study groups. Children in the intervention group consumed more servings of fruit & veg at baseline. Not clear of the impact this may have had on the results

Kling 2016

Methods

Study design:

Cluster‐randomised controlled trial – cross‐over

Funding:

“Supported by NIH Grant R01‐DK082580 and USDA National Institute for Food and Agriculture Grant 2011‐67001‐30117 Program A2121‐Childhood Obesity Prevention: Transdisciplinary Graduate Education and Training in Nutrition and Family Sciences”

Participants

Description:

Children aged 3‐6 years enrolled in 3 childcare centres near University Park, Pennsylvania

N (Randomised):

11 classrooms, 31 children

Age:

Overall mean = 4.4 years

% Female:

49%

SES and ethnicity:

“Based on the 106 parents (88%) who provided family information, household incomes and education levels were above average: 69% of households had an annual income of above $50,000 and 92% of mothers and 90% of fathers had a Bachelor's degree or higher.”

“The sample of children was 69% white, 21% Asian, 3% black or African American, and 7% of mixed or another race; 4% were of Hispanic or Latino origin.”

Inclusion/exclusion criteria:

Inclusion criteria: children had to be enrolled in participating childcare centres

Exclusion criteria: children with an allergy or intolerance to the foods or milk being served

Recruitment:

“Children were recruited by giving letters to parents with 3‐ to 6‐year‐old children enrolled at three childcare centers near University Park, PA.”

Recruitment rate:

Unknown

Region:

Pennsylvania, USA

Interventions

Number of experimental conditions: 6

Number of participants (analysed):

Overall = 120

Description of intervention:

Across the 6 meals (groups), all foods and milk were served at 3 levels of portion size (100%, 150%, or 200% of reference amounts) and 2 levels of energy density (100% or 142%) and were consumed ad libitum”

“The experimental meal consisted of chicken (grilled breast or breaded nuggets), macaroni and cheese, a green vegetable (broccoli or peas), applesauce, ketchup, and milk.”

Duration:

6 weeks

Number of contacts:

6 (1 meal/week)

Setting:

Preschool

Modality:

Face‐to‐face

Interventionist:

Teachers and undergraduate research assistants

Integrity:

No information provided

Date of study:

“enrolled in the study from May 2013 to July 2014.”

Description of control:

N/A

Outcomes

Outcome relating to children's fruit and vegetable consumption:

Consumption of vegetables (grams): “To determine the amount consumed, all foods and beverages were weighed before and after the meal in a separate room out of the children's view. Food weights were recorded to the nearest 0.1 g using digital scales”

Outcome relating to absolute costs/cost‐effectiveness of interventions:

Not reported

Outcome relating to reported adverse events:

Not reported

Length of follow‐up from baseline:

6 weeks

Length of follow‐up post‐intervention:

Immediately

Subgroup analyses:

None

Loss to follow‐up:

Overall: 8% (11/131)

Analysis:

Unknown if adjusted for clustering

Sample size calculations performed

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

“The order of the six conditions was counterbalanced across classrooms using Latin squares, and classrooms were randomly assigned one of the condition sequences using a random number generator.”

Allocation concealment (selection bias)

Unclear risk

There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed from those conducting the research.

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

“Neither parents nor children were informed about the purpose of the study.”

“During each meal, adults, including teachers and undergraduate research assistants who did not know the purpose of the study, were instructed to redirect conversations about food‐related topics to minimize peer influence on children's lunch intake.”

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

“During each meal, adults, including teachers and undergraduate research assistants who did not know the purpose of the study”

low risk. Researchers who weighed all food and drink before and after the meal. Researchers were blinded to the purpose of the study.

Incomplete outcome data (attrition bias)
All outcomes

Low risk

”A total of 131 children from 11 classrooms at the 3 childcare centers were enrolled in the study from May 2013 to July 2014. Eleven children were excluded from the analysis because they were absent for 3 or more of the 6 experimental meals. Thus, intake data was analyzed for 120 children (61 boys and 59 girls).”

No attrition is reported.

Selective reporting (reporting bias)

Low risk

All proposed outcomes in trial registry are reported.

Other bias

Low risk

No other bias was identified

Martinez‐Andrade 2014

Methods

Study design:

Cluster‐randomised controlled trial

Funding:

Not reported

Participants

Description:

Children aged 2 to 5 years at 4 primary care clinics and their parent

N (Randomised):

4 primary care clinics, 306 children

Age:

Child (mean): Intervention = 40.1 months, Control = 41.1 months

Parent (mean): Intervention = 29.3 years, Control = 29.5 years

% Female:

Child: 47%

Parent: not specified

SES and ethnicity:

Education: no schooling = 0.3%, Primary school = 8.9%, Junior high = 33.7%, High school = 39.3%, Professional school – 12.5%, Postgraduate = 1.7%

Inclusion/exclusion criteria:

Inclusion criteria: “Participants comprised children aged 2 ‐ <5 years of age whose BMI (calculated as weight in kilograms divided by height in meters squared) was above the median for age and sex (BMI z‐score 0 ‐ 3); who attended one of the participating IMSS clinics during the recruitment period for pediatric care, vaccination, or accompanying a family member; and whose parent or caregiver gave written consent to participate.”

Exclusion criteria: “Families were excluded if they planned to move residences or change primary care clinics during the study period; the child had motor limitations (e.g., physical disability or delay); or required a special diet by medical indication.”

Recruitment:

“The project manager approached the directors of the 6 primary care clinics in Mexico City with the greatest proportion of preschoolers (approximately 5% children <5 years) to request their support for the project.”

Recruitment rate:

Primary care clinic = 67% (4/6)

Child = 10% (306/3095) (using number of participants approached as denominator)

Region:

Mexico City

Interventions

Number of experimental conditions: 2

Number of participants (analysed):

Intervention = 168, control = 138

Description of intervention:

Intervention participants received a 6‐week curriculum focused on obesity awareness and prevention. 5 aspects dealt with throughout the 6 sessions: 1) Dietary culture, risk‐benefit practices; 2) The process of feeding acquisition/preparation/service/eating behaviours; 3) Physical activity habits; 4) Importance of weighing/measuring oneself and its meaning; 5) feedback and evaluations

Duration:

6 weeks

Number of contacts:

6 sessions (2 hrs a session)

Setting:

Primary care clinics

Modality:

Face‐to‐face, group sessions

Interventionist:

Nutritionist, nurse and health educator

Integrity:

Delivery of intervention: To ensure fidelity, a small group of study staff (nutritionist, nurse and health educator) administered all intervention sessions and completed all screening, baseline and follow‐up assessments. No quantitative measure of delivery of intervention components”

Attendance: “Only 52% (88 of the 168 who agreed to participate) attended ≥ 1 educational session (405 sessions attended in total). The total number of expected attendances at educational sessions was 1008 (168 participants attending 6 sessions each). Thus, compliance in the intervention group was 40% (405/1008) of total expected attendances. However, of the 88 receiving any intervention content, 67% (59/88) attended 5‐6 of the intended 6 workshops”

Date of study:

March 2012 to April 2013

Description of control:

Usual‐care control ‐ received no intervention

Outcomes

Outcome relating to children's fruit and vegetable consumption:

Child’s consumption of fruits and vegetables (servings per week), “staff assisted parents in completing a child Food Frequency Questionnaire (FFQ) adapted from the FFQ used to assess dietary intake among 1‐4 year old children in the 2006 Mexican National Nutrition Survey.”

Outcome relating to absolute costs/cost effectiveness of interventions:

Not reported

Outcome relating to reported adverse events:

Not reported

Length of follow‐up from baseline:

3 and 6 months

Length of follow‐up post‐intervention:

1½ and 4½ months

Subgroup analyses:

None

Loss to follow‐up (at 1 ½ and 4 ½ months):

Intervention = 41%, 35%

Control = 26%, 26%

Analysis:

Adjusted for clustering

Unknown if sample size calculation was performed

Notes

First reported outcome (fruit servings/week) at the longest follow‐up < 12 months (3 months after intervention completion ‐ as 6‐months follow‐up did not report retention values by group) was extracted for inclusion in meta‐analysis

The reported estimate which adjusted for clustering assessed change from baseline, we therefore used post‐intervention data and calculated an effective sample size using ICC of 0.016 to enable inclusion in meta‐analysis

Sensitivity analysis ‐ primary outcome: Fruit or vegetable intake listed as primary outcome

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

A computer‐generated randomisation list designed by a statistician with no connection to the intervention was used for random allocation to experimental group

Allocation concealment (selection bias)

Unclear risk

There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Child dietary intake (parent‐reported):

“Only after informed consent did participants learn of their treatment assignment”.

There is no blinding to group allocation of participants at follow‐up described and this is likely to influence performance

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Child dietary intake (parent reported):

“Only after informed consent did participants learn of their treatment assignment”.

There is no blinding to group allocation of participants at follow‐up described and because self‐reported measures were used this is likely to influence detection bias

Incomplete outcome data (attrition bias)
All outcomes

High risk

“Non‐participation was greater in the intervention (75 (45%) of 168 participants) than in the usual care (42 (30%) of 138 participants) arm (Figure 1).”

Attrition rate was high with >35% of families not completing follow‐up at 3 months. Multiple imputations were performed to address missing data however non‐participation was greater in the intervention than in the usual care condition

Selective reporting (reporting bias)

Low risk

The primary outcomes reported in the paper align with those specified in the trial registration

Other bias

Unclear risk

There were baseline imbalances between the groups, but results were adjusted.

Unclear risk of recruitment bias as individuals were recruited to the trial after clusters have been randomised

Mennella 2008

Methods

Study design:

Randomised controlled trial

Funding:

Not reported

Participants

Description:

Children aged 4 to 9 months and their mother

N (Randomised):

88 parent‐children dyads

Age:

Child (mean): Study 1 fruits = 6.7 months, Study 2 vegetables = 6.3 months

Mother (mean): Study 1 fruits = 29 years, Study 2 vegetables = 28 years

% Female:

Child: Study 1 fruits = 49%, Study 2 vegetables = 43%

Parent: 100%

SES and ethnicity:

Parent: “Their ethnic background was 55.4% (N =41) Black; 29.7% (N =22) White; 2.7% (N =2) Hispanic and 12.2% (N =9) Other/Mixed Ethnicity.”

SES not specified

Inclusion/exclusion criteria:

“To qualify the Children had to have at least two weeks of experience eating cereal or fruit from a spoon and little experience with the target fruits and vegetables.”

Recruitment:

“Seventy‐four mothers whose Children were between the ages of 4 and 9 months were recruited from advertisements in local newspapers and from Women, Children and Children Programs in Philadelphia, PA.”

Recruitment rate:

Not specified

Region:

Philadelphia (USA)

Interventions

Number of experimental conditions: 5

Number of participants (analysed):

Study 1: fruits

Pear group = 20 dyads, between‐meal (BM) group = 19 dyads

Study 2: vegetables

Green bean group = 11 dyads, between‐meal (BM) group = 12 dyads, between‐meal and within‐meal (BM‐WM) group = 12 dyads

Description of intervention:

Study 1: fruits

“During the home exposure period, one group fed only pears at the target meal (Pear Group, N=20) whereas the other group fed a fruit which was different than the one experienced during the previous 2 days (Between‐Meal (BM) Fruit Variety Group, N=19).”

Study 2: vegetables

“The three groups differed in the type, amount and variety of foods that infants were fed during the target meal during the 8‐day home exposure period. The infants in the Green Bean Group (N=11) were fed only the target vegetable, green beans, whereas those in the Between‐Meal variety group (BM Vegetable Variety Group, N=12) and the Between‐Meal and Within‐Meal Variety Group (BM–WM Vegetable Variety Group, N=12) were fed a variety of vegetables. The BM Variety Group was fed only one vegetable each day and green and orange vegetables were alternated daily, whereas the BM–WM Variety Group was fed two vegetables each day (one green, one orange). In the latter group, the pair of vegetables varied from day‐to‐day but one of the pair was experienced the prior day.”

Duration:

8 days

Number of contacts:

8 exposures

Setting:

Home

Modality:

Face‐to‐face

Interventionist:

Mothers

Integrity:

“All of the mothers complied with these instructions.”

Date of study:

Unknown

Description of control:

N/A

Outcomes

Outcome relating to children's fruit and vegetable consumption:

Child’s consumption of fruit and vegetable purees (grams). Mother resealed jars and returned them after the exposure period to be weighed

Outcome relating to absolute costs/cost effectiveness of interventions:

Not reported

Outcome relating to reported adverse events:

Not reported

Length of follow‐up from baseline:

12 days (4 days of test food(s))

Length of follow‐up post‐intervention:

2 days

Subgroup analyses:

None

Loss to follow‐up:

Condition 1: fruits

Overall = 15% (no specified by group)

Condition 2: vegetables

Overall = 17% (no specified by group)

Analysis:

Unknown if sample size calculation was performed.

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Randomly allocated to experimental group but the random sequence generation procedure is not described

Allocation concealment (selection bias)

Unclear risk

There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed

Blinding of participants and personnel (performance bias)
All outcomes

Unclear risk

Fruit & vegetable intake:

The mother fed the child and there is no mention of blinding, therefore at unclear risk of performance bias

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

The mother fed the child and there is no mention of blinding. However, this is an objective measure of intake, and therefore low risk of detection bias

Incomplete outcome data (attrition bias)
All outcomes

High risk

Mother‐infant pairs were excluded from the study because they did not comply with experimental procedures or ate less than 5 grams on the testing days. An intention‐to‐treat approach was not adopted and therefore at high risk of attrition bias

Selective reporting (reporting bias)

Unclear risk

There is no study protocol therefore it is unclear if there was selective outcome reporting

Other bias

High risk

The groups differed significantly in the fruit study (Study 1) in terms of approachability and there is no mention that this difference was adjusted for in the analysis

Namenek Brouwer 2013

Methods

Study design:

Cluster‐randomised controlled trial

Funding:

Not reported

Participants

Description:

Children and centre directors from 4 licensed childcare centres in North Carolina

N (Randomised):

4 childcare centres

Age:

< 3 years = 27%

3 to 5 years = 73%

% Female:

Child: not specified

Directors: 100%

SES and ethnicity:

All centers had at least some subsidized children enrolled.”

Directors: “75% were African American, and 50% had a college degree.”

Inclusion/exclusion criteria:

“To participate in the study, centers had to provide all foods and beverages to children in care (i.e., parents could not send food from home), not have an open case of abuse or neglect with the state licensing agency, and have at least three children between the ages of three and five years in care on a regular basis.”

Recruitment:

“We mailed a letter of invitation to every licensed center (n = 6) in the city limits of a small community near our research offices. The letter was followed by a telephone call from the study team. We enrolled the first four centers that agreed to participate. Center directors provided written informed consent to participate in the study; parents were provided a fact sheet describing the study and were asked to contact the project director if they did not want their children observed during the dietary assessment.”

Recruitment rate:
100% of centres; recruitment rate for children not reported

Region:

Central North Carolina (USA)

Interventions

Number of experimental conditions: 2

Number of participants (analysed):

4 childcare centres, “An average of 19.0 (7.9) children were enrolled per center”

Description of intervention:

“The Watch Me Grow program is a garden‐based intervention aimed to increase the number of vegetables and fruits provided to and consumed by children in child care. The intervention took place in spring 2011. The program includes a “crop‐a‐month” structured curriculum for child‐care providers, consultation by a gardener, and technical assistance from a health educator. Over the course of the four‐month‐long intervention, providers and children in the intervention centers grew (1) lettuce, (2) strawberries, (3) spinach, and (4) broccoli. We designed the garden to yield one crop per month, and provided classrooms in the intervention centers with corresponding curriculum materials highlighting the target fruit or vegetable of the month.”

Duration:

4 months

Number of contacts:

Health educators (technical assistance): monthly

Visits from study gardener: at least monthly

Centre staff provided curriculum activities: 1 activity per week

Setting:

Preschool

Modality:

Face‐to‐face

Interventionist:

Health educator/Gardener provided intervention to childcare centres

Centre Staff provided curriculum/activities to children

Integrity:

No information provided

Date of study:

2011

Description of control:

Received no intervention

Outcomes

Outcome relating to children's fruit and vegetable consumption:

Child’s consumption of fruits and vegetables (mean servings, consumed by 3 children in each centre). Registered dietitians observed all meals and snacks over 2 full days and recorded all foods consumed for each of the 3 target children

Outcome relating to absolute costs/cost effectiveness of interventions:

Not reported

Outcome relating to reported adverse events:

Not reported

Length of follow‐up from baseline:

˜ 5 months

Length of follow‐up post‐intervention:

1 month

Subgroup analyses:

None

Loss to follow‐up:

N/A: “the same three children may not have been observed pre‐ to post‐intervention.”

Analysis:

Did not adjust for clustering

Unknown if sample size calculation was performed

Notes

First reported outcome (daily vegetable servings consumed) was extracted for inclusion in meta‐analysis.

No adjustment was made for clustering; we therefore used post‐intervention data and calculated an effective sample size using ICC of 0.014 to enable inclusion in meta‐analysis

Sensitivity analysis ‐ primary outcome: Fruit or vegetable intake is primary outcome as in trial registry

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

“either the intervention or control condition on a 1:1 ratio, using the Research Randomizer (www.randomizer.org/form.htm)” The research randomiser was used to generate the random sequence

Allocation concealment (selection bias)

Unclear risk

There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

Dietary observation:

A trained registered dietitian blinded to treatment group conducted the dietary assessments

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Dietary observation:

The outcome is observation of foods served and consumed at mealtimes at the childcare centre undertaken by blinded dietitians. However, there is no blinding of childcare centre staff, cooks, children etc., because they were provided with a garden at their centre, curriculum materials and lessons, and staff met with research team about the garden and how to incorporate it into all aspects of the centre

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Randomly selected a classroom and then 3 children within classroom at centres to observe pre‐ and post‐intervention; it did not need to be the same 3 children observed pre‐ and post‐intervention

Selective reporting (reporting bias)

Low risk

The primary outcomes reported in the paper align with those specified in the trial registration

Other bias

Unclear risk

“Due to sample size limitations, we did not conduct formal statistical analysis beyond comparing crude differences in mean servings of vegetables and fruits.”

Insufficient information was reported to determine whether childcare centres were similar at baseline or recruitment bias. No statistical method to account for clustering, but we calculated an effective sample size prior to inclusion in meta‐analysis to account for this

Natale 2014a

Methods

Study design:

Cluster‐randomised controlled trial

Funding:

"This research was funded by the Miami‐Dade County Children’s Trust (grant number 764‐287)."

Participants

Description:

Children aged 2 to 5 years enrolled in 8 subsidised childcare centres in Miami‐Dade County, Florida

N (Randomised):

8 childcare centres, 307 children

Age:

“the average age for boys was 3.82 years, the average age for girls was 3.91 years”

% Female:

Intervention = 49%, Control = 48%

SES and ethnicity:

“Thirty‐six percent identified their child as black, 34% identified their child as white, 18% chose other, and 14% were unknown. The ethnicity of the sample mirrors that of Miami‐Dade County, with 32% of the parents identifying their child as Hispanic/other, 25% as Hispanic/Cuban, 22% as African American, and 2% as Caucasian. Thirty‐five percent of the sample were primarily Spanish speaking and completed the measures in Spanish, and 65% of the sample were primarily English speaking and completed the measures in English”

Inclusion/exclusion criteria:

“Center study inclusion criteria consisted of (a) serve >30 children, (b) serve low‐income children, and (c) ethnic makeup had to be reflective of the county as a whole (minority majority). Low income was determined based on whether or not the child received subsidized child care.”

No inclusion/exclusion criteria specified for children.

Recruitment:

“All participants were recruited at the child care center. Parents were approached during drop‐off or pickup times. Consent forms were attached to the interview packets, and parent data were collected during the initial visit.”

Recruitment rate:

98%

Region:

Miami‐Dade County, Florida (USA)

Interventions

Number of experimental conditions: 2

Number of participants (analysed):

Intervention = 238, Control = 69

Description of intervention:

Teacher curriculum: Modeled after a modified version of Hip‐Hop to Health Jr., included implementation of lessons and a low‐fat, high fibre diet that included more fruits and vegetables with an emphasis on cultural barriers.

Parent curriculum: Modeled after a modified version of the Eating Right Is Basic and Hip‐Hop to Health Jr., included a monthly educational dinner (run by dietitians) in which nutrition and physical activity were discussed, monthly newsletters, and at‐home activities, also information on how to introduce new foods and how to encourage eating more fruits and vegetables. Parents were encouraged to reduce TV viewing, increase physical activity, and model healthy eating behaviours for their child at home.

Centre‐based modifications: These included: the development of policies to increase physical activity and healthy eating; modifying menus to make them compliant with the policies and also to ensure that the U.S. Department of Agriculture (USDA) nutritional requirements were met; agreeing on a drink policy that included providing water as the primary beverage, not allowing juice or sweetened beverages more than one time per week; changing from whole milk to 1% milk; having a snack policy which consisted of substituting healthy snacks, such as fresh fruit and/or vegetables, for cookies and other high‐lipid snacks; having a physical activity policy to increase physical activity to more than one hour per day and to decrease TV viewing to less than 60 minutes two times a week.

Duration:

6 months

Number of contacts:

Unclear, multiple contacts

Setting:

Preschool, home

Modality:

Multiple (face‐to‐face, newsletters)

Interventionist:

Teachers, Parents and Registered Dieticians

Integrity:

No information provided

Date of study:

Unknown

Description of control:

“The Attention control group centers received a visit from an injury prevention education mobile. The mobile provided parents and teachers with hands‐on safety education and information, as part of an ongoing injury prevention program at the University of Miami.”

Outcomes

Outcome relating to children's fruit and vegetable consumption:

Child’s consumption of fruit and vegetables assessed using a 16‐item food frequency questionnaire (FFQ) completed by parents and teachers

Outcome relating to absolute costs/cost effectiveness of interventions:

Not reported

Outcome relating to reported adverse events:

Not reported

Length of follow‐up from baseline:

3, 6 and 12 months

Length of follow‐up post‐intervention:

Immediately and 6 months

Subgroup analyses:

None

Loss to follow‐up (Immediately post‐intervention and 12 months):

Overall = 25%, 42%

Analysis:

Unclear if adjusted for clustering

Unknown if sample size calculation performed

Notes

Sensitivity analysis ‐ primary outcome: Primary outcome not stated, BMI 1st listed outcome

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Randomly allocated to experimental group but the random sequence generation procedure is not described

Allocation concealment (selection bias)

Unclear risk

There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Food intake:

There is no blinding to group allocation of participants or personnel described and this is likely to influence performance

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Food intake (parent and teacher reported):

There is no blinding to group allocation of participants or personnel described and this is likely to influence detection bias

Incomplete outcome data (attrition bias)
All outcomes

High risk

Of the 318 child‐parent dyads at baseline, there were 185 (58%) at the 1‐year follow‐up

Selective reporting (reporting bias)

Unclear risk

There is no study protocol therefore it is unclear if there was selective outcome reporting

Other bias

Unclear risk

Some evidence of baseline imbalance (e.g. ethnicity)

Unclear recruitment bias

Unclear whether potential clustering within childcare centres accounted for

Nicklas 2017

Methods

Study design:

Cluster‐randomised controlled trial

Funding:

“This study was sponsored by the National Institutes of Health (NIH)/National Institute of Child Health and Human Development through grant number R21‐HD073608. Partial support was received from the USDA Agriculture Research Service through specific cooperative agreement 58‐6250‐0‐008.”

Participants

Description:

Preschool‐aged children who were predominantly low‐income African‐American and Hispanics

N (Randomised):

6 Head Start centres, 253 children

Age:

Mean: Intervention = 4.47 years, Control = 4.38 years

% Female:

Intervention = 49%, Control = 52%

SES and ethnicity:

Hispanics: Intervention = 46%, Control = 54%

African‐American: Intervention = 59%, Control = 41%

Inclusion/exclusion criteria:

Not specified

Recruitment:

“Recruitment strategies included flyers that were sent to the home with the children, presentations at parent meetings, face‐to‐face recruitment during child drop‐off and pickup at Head Start, and active involvement of the Head Start manager and staff in the recruitment process”

Recruitment rate:

Children: 65% (253/391)

Region:

Houston, TX (USA)

Interventions

Number of experimental conditions: 2

Number of participants (analysed):

Intervention = 128, Control = 125

Description of intervention:

The intervention included 4 DVDs (videos) theatre‐based puppet shows that aimed at persuading children to increase vegetable consumption through encouragement, rationale/reason, reinforcement, and role modelling that were delivered over 4 consecutive weeks at preschools. Additionally, "each intervention child took home a bag including the DVD video for that week, a pamphlet, main ingredients to prepare a simple vegetable snack, crayons, and a disposable camera (if parents did not have a smart phone) to use as instructed in the booklets."

The intervention was “based on the theoretical framework “transportation into a narrative world”, three professionally developed characters, unique storylines and an engaging, repetitious song were incorporated in four 20‐min videotaped puppet shows.”

Duration:

4 weeks

Number of contacts:

6 contacts per week

Setting:

Preschool, home

Modality:

Multiple (face‐to‐face, visual/audio – DVD)

Interventionist:

Teachers and parents

Integrity:

No information provided

Date of study:

Unknown

Description of control:

“During the 4‐week intervention period the control group did not receive any alternate intervention.”

Outcomes

Outcome relating to children's fruit and vegetable consumption:

Child’s consumption of vegetables assessed using digital photography and plate weight before and after consumption (grams).

Outcome relating to absolute costs/cost effectiveness of interventions:

Not reported

Outcome relating to reported adverse events:

Not reported

Length of follow‐up from baseline:

4 weeks + 2 days

Length of follow‐up post‐intervention:

2 days

Subgroup analyses:

None

Loss to follow‐up:

No loss to follow‐up

Analysis:

Adjusted for clustering.

Unknown if sample size calculation performed.

Notes

Reported estimates accounted for clustering, but confidence intervals or other measures of variance were not available. We therefore estimated means and SDs by groups at follow‐up from a study figure using an online resource (Plot Digitizer: plotdigitizer.sourceforge.net) and calculated an effective sample size using ICC of 0.014 to enable inclusion in meta‐analysis.

Sensitivity analysis ‐ primary outcome: Primary outcome was vegetable consumption

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

The random sequence generation was not described

Allocation concealment (selection bias)

Unclear risk

No information about allocation concealment is provided and therefore it is unclear if allocation was concealed

Blinding of participants and personnel (performance bias)
All outcomes

Unclear risk

Participants and teachers in intervention preschools were not blinded to the intervention, as children viewed a DVD, and teachers were asked to identify the vegetable components served in the lunch. It is unclear whether this resulted in performance bias

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Children’s vegetable intake was assessed using the digital photography method and plates were weighed and therefore unlikely to be influenced by detection bias

Incomplete outcome data (attrition bias)
All outcomes

Low risk

253 children were enrolled and all of them completed the follow‐up assessment, so risk of attrition bias is low

Selective reporting (reporting bias)

Low risk

The primary outcomes reported in the paper align with those specified in the trial registration

Other bias

Unclear risk

There is potential recruitment bias, as it is not clear when or how clusters were randomised, and whether recruitment occurred before or after

O'Connell 2012

Methods

Study design:

Cluster‐randomised controlled trial – cross over

Funding:

“Financial support was provided by the Rudd Foundation.”

Participants

Description:

Children aged 3 to 6 years attending 2 private preschools in a small north‐eastern city

N (Randomised):

2 preschools (number of children not specified, 96 children recruited)

Age:

“Age ranged from 3 to 6 years old, but most (85%) children were 4 or 5 years old.”

% Female:

44%

SES and ethnicity:

“These preschools primarily serve highly educated households; nearly all (93%) of the children had at least one parent with a bachelor’s degree and 75% had at least one parent with a graduate or professional degree.”

“Race/ethnicity was white (69%), Asian (8%), African American (5%), Hispanic (6%), and other (12%).”

Inclusion/exclusion criteria:

Not specified

Recruitment:

Not specified

Recruitment rate:

Unknown

Region:

New Haven (USA)

Interventions

Number of experimental conditions: 2

Number of participants (analysed):

Intervention = 43, control = 53

Description of intervention:

“During the intervention, the children at Preschool A were served one of the new vegetables every day for 30 days in a 3‐day cycle (e.g., Monday, cauliflower; Tuesday, snow peas; Wednesday, green pepper) until they had received each vegetable a total of 10 times.”

Duration:

6 weeks

Number of contacts:

30 (1 per day for 30 days)

Setting:

Preschool

Modality:

Face‐to‐face

Interventionist:

Teachers

Integrity:

No information provided

Date of study:

2007

Description of control:

Control/delayed intervention (Preschool B).

"Preschool B continued routine practices during the first 6 weeks of the study, and then switched conditions with Preschool A for the second 6 weeks”

Outcomes

Outcome relating to children's fruit and vegetable consumption:

Child’s consumption of new vegetables (grams). Researchers picked up the bags of vegetables later from the schools, weighed them, and calculated intake to the nearest gram.”

Outcome relating to absolute costs/cost effectiveness of interventions:

Not reported

Outcome relating to reported adverse events:

Not reported

Length of follow‐up from baseline:

12 weeks

Length of follow‐up post‐intervention:

Immediately

Subgroup analyses:

None

Loss to follow‐up:

No loss to follow‐up

Analysis:

Adjusted for clustering (multilevel modelling)

Sample size calculations performed

Notes

Post‐intervention data were extracted following the first phase of the trial (Time 2) prior to cross‐over. As an estimate was not reported for the Time 2 follow‐up that adjusted for clustering, we used post‐intervention data and calculated an effective sample size using ICC of 0.014 to enable inclusion in meta‐analysis.

Sensitivity analysis ‐ primary outcome: Fruit or vegetable only outcome reported

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Randomly allocated to experimental group but the random sequence generation procedure is not described

Allocation concealment (selection bias)

Unclear risk

There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

Vegetable consumption:

Objective measure of child’s vegetable intake and unlikely to be influenced by performance bias

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Vegetable consumption:

Objective measure of child’s vegetable intake and unlikely to influence detection bias

Incomplete outcome data (attrition bias)
All outcomes

Low risk

There is no reported attrition. Data from 96 children were analysed

Selective reporting (reporting bias)

Unclear risk

There is no study protocol therefore it is unclear if there was selective outcome reporting

Other bias

High risk

Baseline imbalances were reported. There were differences in vegetable consumption at baseline

Remington 2012

Methods

Study design:

Randomised controlled trial

Funding:

"Supported by Medical Research Council/National Preventive Research Initiative grant G0701864"

Participants

Description:

Children aged 3 to 4 years attending nursery school and their primary caregiver

N (Randomised):

173 parent‐child dyads

Age:

Child (mean): tangible reward = 3.96 years, social reward = 3.99 years, control = 3.90 years

Primary caregiver (mean): tangible reward = 37.44 years, social reward = 37.35 years, control = 37.52 years

% Female:

Child: tangible reward = 48%, social reward = 54%, control = 55%

Primary caregiver (mother): tangible reward = 85%, social reward = 88%, control = 77%

SES and ethnicity:

Primary caregiver:

Ethnicity: White = 66%, Black = 2.9%, South Asian = 6%

Education level: Nongraduate = 24%, Degree level of higher = 62%

Inclusion/exclusion criteria:

Not specified

Recruitment:

Children aged 3–4 years and their primary caregivers were recruited through nursery schools in North London, United Kingdom.

Recruitment was done in 3 waves in 2010. At each wave, teachers distributed consent forms and information letters about the “Tiny Tastes” study, and families were asked to return their contact details in a prepaid envelope if they were interested in taking part. Potential participants were then contacted by telephone.”

Recruitment rate:

Parent‐child dyads: 82% (173/212)

Region:

North London (UK)

Interventions

Number of experimental conditions: 3

Number of participants (analysed):

Taste exposure + tangible reward = 47

Taste exposure + social reward = 46

No treatment control = 47

Description of intervention:

Taste exposure + tangible reward: “The parents were asked to offer their child a small piece (˜2.5g) of their target vegetable every day for 12 weekdays and to tell them that they could choose a sticker if they tried it. No tastings were done over the weekends.”

Taste exposure + social reward: “Parents were asked to offer the vegetable as described above and to praise their child with phrases such as “brilliant, you're a great vegetable taster” if they tasted it. The parents were to emphasize that the praise was being given for tasting the vegetable”

Duration:

3 weeks

Number of contacts:

12 taste exposures

Setting:

Home

Modality:

Face‐to‐face

Interventionist:

Primary caregiver

Integrity:

“The parents were also given a diary to record whether each day’s trial was performed, whether the child tried the vegetable, and whether the reward was given; space was allowed for comment.”

“No differences in the number of days that the child was offered or tried the target vegetable were found between the intervention groups”

Date of study:

2010

Description of control:

“Families assigned to the control group did not perform any daily tastings and were given no instructions or materials for the intervention period, but were told that they would be taught a special technique to help their child to eat more vegetables after the last visit.”

Outcomes

Outcome relating to children's fruit and vegetable consumption:

Child’s consumption of target vegetable (grams). “Intake (in g) was recorded by weighing the bowl containing pieces of the target vegetable before and after consumption with a digital scale (Mettler Toledo).”

Outcome relating to absolute costs/cost effectiveness of interventions:

Not reported

Outcome relating to reported adverse events:

Not reported

Length of follow‐up from baseline:

3 weeks, ˜ 2 months and ˜ 4 months

Length of follow‐up post‐intervention:

Immediately and at 1 and 3 months

Subgroup analyses:

None

Loss to follow‐up (Immediately post‐intervention, and at 1 and 3 months):

Taste exposure + tangible reward = 0%, 0%, 3%

Taste exposure + social reward = 0%, 3%, 2%

No treatment control = 0%, 5%, 2%

Analysis:

Sample size calculations performed.

Notes

Data from the longest follow‐up < 12 months (3 month follow‐up) were extracted for inclusion in meta‐analysis. Estimates were reported comparing the tangible reward and control conditions, but not social reward condition. We estimated mean and SEM from a study figure using an online resource (Plot Digitizer: plotdigitizer.sourceforge.net) for all 3 groups. The tangible reward and social reward conditions were combined into a single intervention group for inclusion in meta‐analysis.

Sensitivity analysis ‐ primary outcome: Fruit or vegetable intake is primary outcome as per trial registry.

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Randomly allocated to experimental group but the random sequence generation procedure is not described

Allocation concealment (selection bias)

Low risk

There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

Consumption of target vegetable:

There is insufficient information to determine the likelihood of performance bias

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Consumption of target vegetable:

There is insufficient information to determine the likelihood of detection bias

Incomplete outcome data (attrition bias)
All outcomes

Low risk

The proportion that completed the follow‐up assessments is not reported and therefore the risk of attrition bias is unclear

Selective reporting (reporting bias)

Unclear risk

The primary outcomes reported align with those specified in the trial registration. However the secondary outcomes specified on trial registry do not appear to be reported in the abstract

Other bias

Low risk

There is insufficient information to determine the risk of other bias

Remy 2013

Methods

Study design:

Randomised controlled trial

Funding:

Not reported

Participants

Description:

Children aged 4 to 8 months old and their parent

N (Randomised):

100 parent‐child dyads

Age:

Mean: Repeated exposure = 6.3 months, Flavour‐flavour learning = 6.6 months, Flavour‐nutrient learning = 6.2 months

Parent: not specified

% Female:

Child: Repeated exposure = 47%, Flavour‐flavour learning = 35%, Flavour‐nutrient learning = 38%

Parent: mostly mothers (exact % not reported)

SES and ethnicity:

Not specified

Inclusion/exclusion criteria:

“The criteria for children inclusion were as follows: age between 4 and 8 mo, introduction of complementary foods was started at >2 wk and <2 mo before the start of the study, no health problems or food allergies at the beginning of the study, and gestational age ≥36 wk.”

Recruitment:

“Parents in the Dijon area of France were recruited using leaflets or posters distributed in health professionals consulting rooms, pharmacies, and day‐care centers.”

Recruitment rate:

Parent‐child dyads = 81% (100/123)

Region:

Dijon (France)

Interventions

Number of experimental conditions: 3

Number of participants (analysed):

Repeated exposure = 32

Flavour‐flavour learning = 30

Flavour‐nutrient learning = 30

Description of intervention:

“During the exposure period, infants were exposed 10 times to a basic (RE group), a sweet (FFL group), or an energy‐dense (FNL group) artichoke puree according to their group.”

Duration:

Approx. 41 days

Number of contacts:

2 ‐ 3 times per week

Setting:

Home

Modality:

Face‐to‐face

Interventionist:

Parents

Integrity:

“parents were given precise instructions, and data collected in the notebook revealed that they complied with the instructions.”

Date of study:

October 2010 and May 2011

Description of control:

N/A

Outcomes

Outcome relating to children's fruit and vegetable consumption:

Child’s consumption of varied artichoke purees (grams). “To measure intake, parents were asked to weigh each jar before and after consumption, using a digital kitchen scale (61 g, Soehnle) that we provided them with, and to record the weight in a notebook. After each observation, parents were required to reseal the jar(s) of food, freeze them, and bring the used jars back to the laboratory to check compliance with the study procedure and data accuracy.”

Outcome relating to absolute costs/cost effectiveness of interventions:

Not reported

Outcome relating to reported adverse events:

Not reported

Length of follow‐up from baseline:

Unclear

Length of follow‐up post‐intervention:

2 weeks, 3 months and 6 months

Subgroup analyses:

None

Loss to follow‐up (at 2 weeks, 3 and 6 months):

Overall = 5%, 7%, 8%

Analysis:

Sample size calculations performed.

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Randomly allocated to experimental group but the random sequence generation procedure is not described

Allocation concealment (selection bias)

Unclear risk

There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

Vegetable intake:

The interventions are all artichoke puree with different nutrient content. Parents would be unable to determine study group from feeding the child, and therefore this would be unlikely to influence the outcome

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Vegetable intake:

This is objective assessment. Parents would be unable to determine study group from feeding the child, and therefore this would be unlikely to influence the outcome

Incomplete outcome data (attrition bias)
All outcomes

High risk

5 families dropped out during the exposure period and were excluded. An intention‐to‐treat approach was not used and therefore at high risk of attrition bias

Selective reporting (reporting bias)

Low risk

The outcomes reported in the paper align with those specified in the trial registration

Other bias

Unclear risk

The groups differed significantly in relation to weaning, but this was adjusted for in analyses. Therefore the risk of other bias is unclear

Roe 2013

Methods

Study design:

Cluster‐randomised controlled trial – cross‐over

Funding:

"Supported by NIH grant R01 DK082580"

Participants

Description:

Children 3 to 5 years attending the Bennett Family Center on campus at The Pennsylvania State University

Age:

Mean: 4.4 years

% Female:

52%

SES and ethnicity:

“The children were racially diverse: 56% were white, 29% Asian, 11% black or African American, and 4% Pacific Islander.”

Inclusion/exclusion criteria:

No explicit inclusion criteria stated for this trial

Exclusion criteria: “Children who were allergic to any of the foods to be served at the snack were not included in the study.”

Recruitment:

“Participants in the study were recruited by distributing letters to parents of children in 4 classrooms of the childcare facility that included children aged 3–5 y; these classrooms had a total of ˜75 children present at snack time.”

Recruitment rate:

Unknown

Region:

Pennsylvania (USA)

Interventions

Number of experimental conditions: 8

Number of participants (analysed):

Overall = 61

Description of intervention:

Variety type serve:

1 x occasion: a variety of all 3 vegetables offered (cucumber, sweet pepper, tomato)

1 x occasion: a variety of all 3 fruits offered (apple, peach, pineapple)

Single‐type serve:

3 x occasions: a single type of vegetable offered (cucumber, sweet pepper, tomato)

3 x occasions: a single type of fruit offered (apple, peach, pineapple)

Duration:

4 weeks

Number of contacts:

8

Setting:

Preschool

Modality:

Face‐to‐face

Interventionist:

Childcare helper

Integrity:

No information provided

Date of study:

February to April 2011

Description of control:

N/A

Outcomes

Outcome relating to children's fruit and vegetable consumption:

Child’s consumption of fruit and vegetables (number of pieces). “The number of pieces of vegetables or fruit selected by each child in the study was recorded independently by 2 observers seated near each table.”

“After the meal, the number of uneaten pieces on each child’s plate was recorded as well as any dropped pieces. All uneaten food and beverage items were weighed after the meal with digital scales (models PR5001 and XS4001S; Mettler‐Toledo Inc).”

Outcome relating to absolute costs/cost effectiveness of interventions:

Not reported

Outcome relating to reported adverse events:

Not reported

Length of follow‐up from baseline:

Unclear

Length of follow‐up post‐intervention:

Immediately

Subgroup analyses:

None

Loss to follow‐up:

No loss to follow‐up

Analysis:

Unclear if adjusted for clustering

Unclear if sample size calculations performed

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Random sequence created using a computerised random‐number generator.

Allocation concealment (selection bias)

Unclear risk

There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

Vegetable and fruit intake

Child’s vegetable and fruit intake unlikely to be influenced by performance bias

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Vegetable and fruit intake:

2 observers independently recorded the number of pieces of vegetables or fruit selected by each child. However it is unclear whether these observers were blinded to condition and whether this influenced detection bias. This was observation of the number of pieces of fruit or veg selected and eaten by each child, and weight of any uneaten pieces of fruit/veg on the plate at end of meal. It was assessed by 2 independent observers, but it is not clear if they were blinded or not. Childcare staff sat at table with children and passed around fruit & veg bowls but were unaware of the study hypotheses

Incomplete outcome data (attrition bias)
All outcomes

Low risk

54 (89%) of the 61 children completed the liking ratings and therefore the risk of attrition bias is low

Selective reporting (reporting bias)

Low risk

The primary outcomes reported in the paper align with those specified in the trial registration

Other bias

Low risk

Contamination, baseline imbalance, & other bias that could threaten the internal validity are unlikely to be an issue

Roset‐Salla 2016

Methods

Study design:

Cluster‐randomised controlled trial

Funding:

"This work was supported by a grant for investigation in nursing from Collegi Oficial d’ Infermeria de Barcelona, 2009 (grant number PR‐5001/09); Primer Premio Nacional de Investigación en Enfermería, 2009, from Hospital Universitario Marqués de Valdecilla; and a grant for investigation in nursing from Acadèmia de Ciències Mèdiques de Catalunya i Balears, filial Maresme, 2010. The funders had no role in the design, analysis or writing of this article."

Participants

Description:

Children aged 1 to 2 years attending 12 daycare centres and their parent

N (Randomised):

12 day‐care centres, 206 children, 195 parents

Age:

Child (mean): Intervention = 1.3 years, Control = 1.4 years

Parent (mean): Intervention = 35 years, Control = 35 years

% Female:

Child: Intervention = 37%, Control = 49%

Parent: Intervention = 93%, Control = 85%

SES and ethnicity:

Educational level: Primary = 10%, Secondary = 35%, University = 55%

Inclusion/exclusion criteria:

No explicit inclusion criteria stated for this trial

Exclusion criteria: “Children still exclusively breast‐feeding at the time of the study, children whose parents were not responsible for their alimentation, children with special diets due to chronic diseases (such as coeliac disease, food intolerances or allergies, inflammatory bowel disease), parents with language difficulties, parents unable to attend the educational workshops and those who did not sign the informed consent.”

Recruitment:

“At the beginning of the school term, all parents of the children attending the participating day‐care centres were invited to informative meetings regarding the study with the use of pamphlets and posters.”

Recruitment rate:

Child: 35% (206/581)

Region:

The city of Mataró (north of Barcelona), Spain

Interventions

Number of experimental conditions: 2

Number of participants (analysed):

Child: Intervention = 75, Control = 67

Parent: Intervention = 74, Control 72

Description of intervention:

“All parents from the day‐care centres in the intervention group (IG) were invited to attend four educational workshops on alimentation at the beginning of the study and one reminder at 4 months. A model of participatory‐active education was used, in order to achieve practical skills in addition to nutritional knowledge. Cognitive (teaching how to improve diet), emotional (addressing beliefs and attitudes of the participants through discussion and analysis techniques) and skill areas (developing dietary skills) were included. The aim was to incorporate new and better dietary knowledge and to change the habits of the participants.”

Duration:

6 months (workshops in October ‐ November and a reminder in March)

Number of contacts:

5 workshops

Setting:

Preschool

Modality:

Face‐to‐face

Interventionist:

Nurses trained in nutrition

Integrity:

No information provided

Date of study:

October 2010 to May 2011

Description of control:

“The parents included in the control group (CG) did not receive any education related to nutrition. In order to avoid drop outs, the participants of the CG were invited to a workshop on a subject not related to the study or nutritional education (manipulation and conservation.”

Outcomes

Outcome relating to children's fruit and vegetable consumption:

Child’s consumption of fruits and vegetables (servings per day) assessed using a 78‐item food frequency questionnaire (FFQ) completed by parents

Outcome relating to absolute costs/cost effectiveness of interventions:

Not reported

Outcome relating to reported adverse events:

Not reported

Length of follow‐up from baseline:

8 months

Length of follow‐up post‐intervention:

2 months

Subgroup analyses:

None

Loss to follow‐up:

Child: Intervention = 32%, Control = 35%

Parent: Intervention = 9%, Control = 8%

Analysis:

Did not adjust for clustering.

Unknown if sample size calculation performed.

Notes

First reported outcome (changes in vegetable and garden produce servings per day) was extracted for inclusion in the meta‐analysis. To enable inclusion in meta‐analysis, we calculated post‐intervention means by group by summing baseline and change from baseline means, assuming baseline SDs for post‐intervention SDs, and we calculated an effective sample size using ICC of 0.014 to account for clustering

Sensitivity analysis ‐ primary outcome: Primary outcome not stated, fruit or vegetable intake 2nd listed outcome after adherence to Mediterranean diet

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Randomly allocated to experimental group but the random sequence generation procedure is not described

Allocation concealment (selection bias)

Unclear risk

There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Dietary intake (self‐reported):

There is no blinding to group allocation of participants and this is likely to influence performance

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Dietary intake (self‐reported):

There is no blinding to group allocation of participants and because this is a self‐reported measure this is likely to introduce detection bias

Incomplete outcome data (attrition bias)
All outcomes

High risk

“Of the parents randomized to the IG only sixty‐seven (65 %) attended three or more workshops, with the remaining parents considered drop outs. The reasons for not attending the workshops were mainly difficulties in family timetables and illness of

the children”.

35% of the intervention group did not attend the minimum of 3 workshops and were considered dropouts. Therefore analysis was not undertaken according to intention‐to‐treat principles and risk of attrition bias is high

Selective reporting (reporting bias)

Unclear risk

There is no study protocol therefore it is unclear if there was selective outcome reporting

Other bias

Unclear risk

There were baseline imbalances for certain characteristics between the conditions (e.g. servings of legumes), although adjusted for in the analysis and so the impact of this is unclear.

Analysis did not accounted for effect of clustering, but we calculated an effective sample size prior to pooling in meta‐analysis to account for this

Savage 2012

Methods

Study design:

Randomised controlled trial

Funding:

Not reported

Participants

Description:

Children aged 3 to 5 years attending full‐day childcare at the Child Development Laboratory located at The Pennsylvania State University

N (Randomised):

21 children

Age:

Mean = 4.3 years

% Female:

59%

SES and ethnicity:

“most of the families (60%) reported combined family incomes of US>$50,000.”

Inclusion/exclusion criteria:

“Exclusion criteria were the presence of food intolerance to study foods, chronic illness affecting food intake, consuming <22 g of the entree (<10% of the 220‐g entree portion), dislike of the main entree, uncooperative behavior during lunch, non‐English speaking, or extended absences.”

Recruitment:

Not specified

Recruitment rate:

Unknown

Region:

Pennsylvania (USA)

Interventions

Number of experimental conditions: 6

Number of participants (analysed):

Overall = 17 (not specified by group)

Description of intervention:

“Children were served a series of 6 lunches in a random order, once per week, which varied only in entrée portion size (entree portion size order: 100, 160, 220, 280, 320, and 400 g). Children were served lunch on the same day of the week at their regularly scheduled time in an eating laboratory dining room facility near their classroom.”

“The menu at all lunches included the portion‐manipulated macaroni and cheese entree and fixed portions of 2% milk and other foods served with the entree (eg, green beans with butter, whole‐wheat roll, and unsweetened applesauce).”

Duration:

6 days

Number of contacts:

6 (1 lunch per day)

Setting:

Preschool

Modality:

Face‐to‐face

Interventionist:

Research staff

Integrity:

No information provided

Date of study:

2007

Description of control:

N/A

Outcomes

Outcome relating to children's fruit and vegetable consumption:

Child’s consumption of fruit and vegetable for different entree portion sizes (grams). “Food and milk weights were recorded before and after consumption to the nearest 0.1 g by using digital scales (Mettler‐Toledo PR5001 and Mettler‐Toledo XS4001S; Mettler‐Toledo Inc). The amount of each food item consumed (g) was determined by subtracting postmeal weights from premeal weights.”

Outcome relating to absolute costs/cost effectiveness of interventions:

Not reported

Outcome relating to reported adverse events:

Not reported

Length of follow‐up from baseline:

6 days

Length of follow‐up post‐intervention:

Immediately

Subgroup analyses:

None

Loss to follow‐up:

Overall = 19% (not specified by group)

Analysis:

Unknown if sample size calculations performed.

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Randomly allocated but the random sequence generation procedure is not described

Allocation concealment (selection bias)

Unclear risk

There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

Food and milk intake:

Objective measure of child’s food intake and unlikely to be influenced by performance bias

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Food and milk intake (weighed before and after consumption):

Objective measure of child’s food intake because food was weighed before and after consumption. Low risk of detection bias

Incomplete outcome data (attrition bias)
All outcomes

Low risk

There is no reported attrition. Data are reported for all of the 17 children who met predetermined inclusion criteria

Selective reporting (reporting bias)

Unclear risk

There is no study protocol therefore it is unclear if there was selective outcome reporting

Other bias

Low risk

Contamination, baseline imbalance, & other bias that could threaten the internal validity are unlikely to be an issue

Sherwood 2015

Methods

Study design:

Randomised controlled trial

Funding:

“The project described was supported by grant numbers A1R21DK078239 (principal investigator [PI]: Sherwood), P30DK050456 (PI: Levine), and P30DK092924 (PI: Schmittdiel) from the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK).”

Participants

Description:

Parents with children aged 2‐4 years

N (Randomised):

60 parent‐child dyads

Age:

Children (mean): Busy Bodies/Better Bites = 2.60 years, Healthy Tots/Safe Spots: 2.90 years

Parent (mean): Bodies/Better Bites = 34.4 years, Healthy Totes/Safe Spots = 33.4 years

% Female:

Children: Busy Bodies/Better Bites = 50%, Healthy Totes/Safe Spots = 40%

Parents: Busy Bodies/Better Bites = 97%, Healthy Totes/Safe Spots = 90%

SES and ethnicity:

Busy Bodies/Better Bites: white = 77%, Hispanic = 7%, Healthy Totes/Safe Spots: white = 83%, Hispanic = 7%

Inclusion/exclusion criteria:

Inclusion criteria: BMI between 85th and 95th percentile for age and gender OR BMI between 50th and 85th percentile and at least 1 overweight parent (BMI ≥ 25kg/m2) and receives care at a HealthPartners Clinic in the Twin Cities Metropolitan Area.

Exclusion criteria: children with chronic disease, children who within the last 6 months or currently taking Prednisone, Prednisolone, Decadron, families who have limited English skills, and families who plan to move out of the Metropolitan area within the next 6 months

Recruitment:

“Parent‐child dyads were recruited through 20 clinics in the greater Minneapolis–St. Paul area

“…a study invitation letter was sent to parents. A subsequent phone call assessed interest and preliminary eligibility, confirmed in a home visit.”

Recruitment rate:

94% (60/64)

Region:

USA

Interventions

Number of experimental conditions: 2

Number of participants (analysed):

Busy Bodies/Better Bites: 30

Healthy Totes/Safe Spots: 30

Description of intervention:

All participants received pediatric primary care provider counselling during their well‐child visit to raise parental awareness of their child’s obesity risk and provide messaging regarding obesity and injury prevention behaviours.

Busy Bodies/Better Bites: participants received an 8‐session phone‐coaching programme focused on healthy eating and PA and an associated workbook and busy bag, which included “a child focused book on television (TV) habits, activity and dinner table conversation idea cards, portion placement and plate, a kid‐friendly, healthy recipe pamphlet, small plastic cones, sidewalk chalk, stickers, a child‐focused dance music CD, and an inflatable beach ball.”

Healthy Totes/Safe Spots: participants received an 8‐session phone‐coaching programme focused on safety and injury prevention and an associated workbook and safety tote, which included “a similar number of items [to the busy bag] relevant to the safety and injury prevention topics (e.g., travel‐size sunscreen or fire safety book).”

Duration:

6 months

Number of contacts:

9 (1 primary care component + 8 phone coaching sessions)

Setting:

Clinic + home

Modality:

Multiple (face‐to‐face, telephone, written materials)

Interventionist:

PCP (face‐to‐face) and experienced interventionists (telephone)

Integrity:

Provider adherence: “Well‐child visit protocol adherence was assessed by phone survey with parents 1–2 weeks post‐well‐child visit. Parents reported whether their provider talked about BMI percentile, whether they received the HHHK pamphlet, and whether the provider addressed specific PA, sedentary behavior, healthy eating, and safety/injury prevention issues.”

Phone coaches: “Phone coaches completed a self‐assessment of session fidelity (e.g., use of behavioral adherence strategies and time spent discussing specific target areas) after each session. Phone sessions were audio recorded, and recordings were utilized during supervision sessions and subsequently coded by independent raters to provide a more in‐depth examination of fidelity.”

Well‐child visit intervention component: “Parents reported that 78% of providers discussed BMI percentile. The majority of parents (87%) received the HHHK pamphlet, but less than half (44%) reported that their provider used the HHHK flipchart. The most frequently discussed obesity prevention topics included fruit and vegetable intake (27%), PA (24%), junk food, including sweetened beverages (11%), and media use (7%). Fewer parents reported that the provider discussed family meals (5%), eating breakfast (4%), and eating out at restaurants (0%).”

“80% of participants in both arms completed the eight‐session intervention.”

Date of study:

Unknown

Description of control:

N/A

Outcomes

Outcome relating to children's fruit and vegetable consumption:

Consumption of fruits and vegetables (servings) using a multipass 24‐hour recall completed by parents.

Outcome relating to absolute costs/cost‐effectiveness of interventions:

Not reported

Outcome relating to reported adverse events:

Not reported

Length of follow‐up from baseline:

6 months

Length of follow‐up post‐intervention:

Immediately

Subgroup analyses:

None

Loss to follow‐up:

Busy Bodies/Better Bites: 13%

Healthy Totes/Safe Spots: 3%

Analysis:

Unknown if sample size calculation was performed.

Notes

Sensitivity analysis ‐ primary outcome: primary outcome as per trial registry included fruit and vegetable intake

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

“Sixty parent‐child dyads were randomized equally to the Busy Bodies/Better Bites Obesity Prevention and the Healthy Tots/Safe Spots Contact control arms.”

It is unclear how the randomisation occurred

Allocation concealment (selection bias)

Unclear risk

There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed from those conducting the research.

Blinding of participants and personnel (performance bias)
All outcomes

High risk

“After the well‐child visit, parents received a randomized group assignment notification letter…”

“Coaches worked with parents to address behavior change areas in order of parent preference, setting goals and discussing challenges and successes at subsequent sessions.”

Participants were aware of their group allocation. Due to the nature of the intervention, staff would also have been aware of participant group allocation.

Blinding of outcome assessment (detection bias)
All outcomes

High risk

“A multipass 24‐hour dietary recall was administered by staff trained and certified to use the Nutrition Data System for Research software versions 2009, 2010, and 2011”

It is unclear whether outcome assessors visiting the home were aware of group allocation. Parents self‐reported child dietary intake.

Incomplete outcome data (attrition bias)
All outcomes

Low risk

The number of parents who completed the follow‐up assessments is reported and there was only a small loss to follow‐up that was similar across experimental arms.

Selective reporting (reporting bias)

Low risk

All outcomes reported as per protocol, except for “Paediatrician participation and satisfaction at 6 months” This was reported after 3 HHHK visits, not at 6 months.

Other bias

Low risk

No other bias was identified.

Skouteris 2015

Methods

Study design:

Randomised controlled trial

Funding:

"Australian Research Council Linkage Grant (ARC LP100100049)"

Participants

Description:

Children aged 20 to 42 months and their parent

N (Randomised):

201 parent‐child dyads

Age:

Child (mean): Intervention = 2.7 years, Control = 2.8 years

Parent (mean): Intervention = 35 years, Control = 35 years

% Female:

Child: Intervention = 49%, Control = 37%

Parent: not specified

SES and ethnicity:

Parent highest level of education (Bachelor degree or higher): Intervention = 57%, Control = 60%

Annual family income (AUD):

AUD < 450,000: Intervention = 14%, Control = 21%

AUD 45,001 – 85,000: Intervention = 41%, Control = 33%

AUD 85,001 – 125,000: Intervention = 27%, Control = 27%

AUD > 125,000: Intervention = 17%, Control = 19%

Location of parents' birth:

Australia or New Zealand: Intervention = 77%, Control = 74%

Europe: Intervention = 3%, Control = 4%

Asia: Intervention = 11%, Control = 9%

Inclusion/exclusion criteria:

Inclusion criteria: “Families were eligible if their child was aged 20–42 months at baseline (waitlist children would still be ≤4 years when receiving the programme), and if parents were aged ≥ 18 years and could read and write English (with the assistance of an interpreter if required). There were no other qualifying or exclusion criteria.”

Recruitment:

“We sourced participants through community events, local newspaper and magazine advertisements, flyers distributed through kindergartens/pre‐schools/childcares, maternal and child health centres, and medical centres.”

Recruitment rate:

Parent‐child dyads = 97% (201/207)

Region:

Victoria (Australia)

Interventions

Number of experimental conditions: 2

Number of participants (analysed):

Time 2: Intervention = 80, Control = 72

Time 3: Intervention = 74, Control = 69

Time 4: Intervention = 73, Control = 63

Description of intervention:

MEND (Mind, Exercise, Nutrition…Do it! 2 – 4 intervention: “Each session included three sections: (i) 30 min of guided active play; (ii) 15 min of healthy snack time based on an evidence‐based, exposure technique to promote acceptance of fruit and vegetables and (iii) 45 min of supervised creative play activities for the children while parents attended an interactive education and skill development session. Guided active play involved games played with children and parents together that could be easily replicated at home. Healthy snack time centred on a role model (puppet called ‘Max Moon’) who encouraged children to sniff, touch, lick and taste fresh fruit and vegetables. Parents received weekly handouts.”

Duration:

10 weeks

Number of contacts:

10 (1 per week, 90 minutes a session)

Setting:

Community health centres

Modality:

Face‐to‐face

Interventionist:

Trained program leader

Integrity:

“Programme leaders were monitored regularly to ensure their practice was in accordance with guidelines.”

Date of study:

Between May 2010 and December 2012

Description of control:

Wait‐list control:

"The WLC group did not receive any intervention, but were offered the programme at study completion.”

Outcomes

Outcome relating to children's fruit and vegetable consumption:

Child’s consumption of fruit and vegetables (usual servings) assessed by the Eating and Physical Activity Questionnaire completed by parents.

Outcome relating to absolute costs/cost effectiveness of interventions:

Not reported

Outcome relating to reported adverse events:

Not reported

Length of follow‐up from baseline:

Post‐intervention: 10 weeks

Time 2: ˜ 8 ‐ 9 months

Time 3: ˜ 15 months

Length of follow‐up post‐intervention:

Immediately

Time 2: 6 months

Time 3: 12 months

Subgroup analyses:

None

Loss to follow‐up (Immediately post‐intervention and at 6 and 12 months):

Intervention = 12%, 4%, 4%

Control = 5%, 6%, 6%

Analysis:

Sample size calculations performed

Notes

First reported outcome (usual servings a day of vegetables) at the longest follow‐up < 12 months (6 months) and ≥ 12 months (12 months) was extracted for inclusion in meta‐analysis

Sensitivity analysis ‐ primary outcome: Fruit or vegetable intake listed as primary outcome in trial registry.

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

”conducted by a researcher not involved in data management using a randomized treatment allocation schedule produced by computer algorithm.”

The random sequence was produced by computer algorithm

Allocation concealment (selection bias)

Unclear risk

Although the authors indicate that participants were informed of group allocation by opaque envelopes, there is no indication if these envelopes were sealed and sequentially numbered

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Dietary intake (includes fruit and vegetables):

There is no blinding to group allocation of participants described and this is likely to influence performance

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Dietary intake (includes fruit and vegetables) (self‐report):

There is no blinding to group allocation of participants described and because of the self‐report measure this is likely to influence detection bias

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Attrition rate was < 20% at follow‐up T4 and missing values of baseline measurements were imputed using mean imputation

Selective reporting (reporting bias)

Unclear risk

“Outcomes not addressed here will be presented in future papers.”

Insufficient evidence to determine, as it appears that future papers with additional outcomes are planned

Other bias

Low risk

Contamination, baseline imbalance, & other bias that could threaten the internal validity are unlikely to be an issue

Smith 2017

Methods

Study design:

Cluster‐randomised controlled trial

Funding:

Not reported

Participants

Description:

Low socio‐economic children aged 3‐5 years attending Head Start preschools in Marion County, Ohio

N (Randomised):

4 Head Start centres, 240 children

Age:

“All clusters combined had a total of 80 (38.3%) three year old children, 116 (55.5%) four year old children, and 13 (6.2%) five year old children in the study sample.”

% Female:

Access‐only cluster = 54%, access + education = 45%, control = 55%

SES and ethnicity:

Low socio‐economic

“There were 9 (4.3%) Hispanic children, 152 (72.7%) white children, 36 (17.2%) multi‐racial, and 12 (5.7%) black children in the study sample”

Inclusion/exclusion criteria:

No explicit inclusion criteria

Exclusion criteria: “Children or parents were excluded if a medical issue prohibited them from participating in the study. Children who were unable to eat solid foods were asked not to participate in this study. Children with chronic diseases, such as diabetes, were excluded from the study, as children with chronic diseases are known to have reduced carotenoid concentrations”

Recruitment:

“Purposive sampling was the method chosen for this study”. Parents were approached about consenting to the study at various meetings or when parents were dropping off or picking up their children.

Recruitment rate:

83% (240/290)

Region:

Marion County, Ohio

Interventions

Number of experimental conditions: 3

Number of participants (analysed):

Access only: 61

Access + education: 82

Control: 66

Description of intervention:

Access only: “received the take home weekly fruits and vegetables, without the educational intervention.”

Access + education: “received weekly take home fruits and vegetables, education for the children, and supplemental materials, such as newsletters and recipes, for the families about the produce being provided.”

The Supplemental Nutrition Assistance Program Education (SNAP‐Ed) was provided each week. “The Harvest for Healthy Kids curriculum was used and each week the focus was on a high carotenoid fruit or vegetable. Storybooks, activities such as making pumpkin pudding in a bag, and tastings were the foundation of the class sessions.”

Duration:

8 weeks

Number of contacts:

8

Setting:

Preschool + home

Modality:

Access only: provision of fruit and vegetable

Access + education: multiple (provision of fruit and vegetable, face‐to‐face education, written materials)

Interventionist:

Access only: unclear

Access + education: Supplemental Nutrition Assistance Program Education (SNAP‐Ed) programme staff member delivered education

Integrity:

No information provided

Date of study:

October‐December 2016

Description of control:

“the control group did not receive either the produce or education during the eight weeks.”

“The group received education following the study.”

Outcomes

Outcome relating to children's fruit and vegetable consumption:

Consumption of fruit and vegetable consumption measured by carotenoid levels in the skin

Outcome relating to absolute costs/cost‐effectiveness of interventions:

Not reported

Outcome relating to reported adverse events:

Not reported

Length of follow‐up from baseline:

8 weeks

Length of follow‐up post‐intervention:

Immediately

Subgroup analyses:

None

Loss to follow‐up:

Access only: 18%

Access + education: 10%

Control: 12%

Analysis:

Unclear if adjusted for clustering

Sample size calculations performed

Notes

We pooled the access + education intervention arm compared to the no‐intervention control group in meta‐analysis of multicomponent interventions.

We described the access‐only intervention compared to the no‐intervention control group narratively.

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

“Site clusters were randomly assigned to one of the treatment or control groups”.

Randomly allocated to experimental group but the random sequence generation procedure is not described.

Allocation concealment (selection bias)

Unclear risk

There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed.

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Participants and study team were not blinded. Parent self‐reported survey on fruit and vegetable consumption and therefore at high risk of performance bias.

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Parents were not blinded which may have affected how they responded to the survey.

Parent self‐reported survey on fruit and vegetable consumption and therefore at high risk of detection bias.

Incomplete outcome data (attrition bias)
All outcomes

Low risk

There were 31/240 withdrawn (27 from intervention, 4 from control).

Selective reporting (reporting bias)

Unclear risk

No trial protocol is available

Other bias

Unclear risk

There appears to be baseline imbalance between groups with differences between groups on child age and race.

Analysis does not appear to account for clustering.

Spill 2010

Methods

Study design:

Cluster‐randomised controlled trial – cross‐over

Funding:

"Supported by the National Institute of Diabetes and Digestive and Kidney Diseases (R01 DK082580) and the Robert Wood Johnson Foundation"

Participants

Description:

Children aged 3 to 6 years enrolled in daycare at the Bennett Family Center on campus at The Pennsylvania State University

N (Randomised):

5 classrooms, 51 children

Age:

Mean = 4.4 years

% Female:

57%

SES and ethnicity:

“Of the 51 children in the study, 46 parents provided demographic information for their children. Of these 46 children, 28 (61%) were white, 14 (30%) were Asian, 3 (7%) were black or African American, and 1 (2%) was American Indian or Alaska Native. Parents of the children had above‐average educational levels and household incomes; 90% of mothers and 85% of fathers had a college degree, and 79% of households had an annual income >$50,000.”

Inclusion/exclusion criteria:

Provided by study author: "Children with an allergy to the foods being served were not eligible to participate in the study. Parents and guardians provided informed written consent for both their own participation and that of their child."

Recruitment:

“Recruitment began in April 2008 by distributing letters to parents who had children aged 3–6 years enrolled in daycare at the Bennett Family Center at the University Park campus of The Pennsylvania State University.”

Recruitment rate:

Provided by study author: "100% of children whose parents signed consent form were included in the study"

Region:

Pennsylvania (USA)

Interventions

Number of experimental conditions: 4

Number of participants (analysed):

Overall = 51

Description of intervention:

One day a week for 4 weeks, children were provided with a first course and main course at lunch. Across the weeks the portion size of raw carrots and dip served as the first course of lunch was varied (30 g, 60 g, or 90 g) and during 1 week no first course was provided. Cooked broccoli was served as the vegetable with the main lunch course

Duration:

4 weeks

Number of contacts:

4 (1 day a week)

Setting:

Preschool

Modality:

Face‐to‐face

Interventionist

Preschool teacher

Integrity:

Provided by study author: "All children were served the food assigned in the experimental condition. There was no deviation from study protocol. No unplanned or unintended interventions."

Date of study:

Recruitment began in April 2008

Description of control:

N/A

Outcomes

Outcome relating to children's fruit and vegetable consumption:

Child’s consumption of vegetables for different first course portion sizes (grams). “Uneaten items were removed, and weights were recorded to the nearest 0.1 g with digital scales. Consumption of the foods and milk was determined by subtracting postmeal weights from premeal weights.”

Outcome relating to absolute costs/cost effectiveness of interventions:

Not reported

Outcome relating to reported adverse events:

Not reported

Length of follow‐up from baseline:

Unclear

Length of follow‐up post‐intervention:

Immediately

Subgroup analyses:

Provided by study author: "Differences between girls and boys in age, body weight, height, BMI percentile, and BMI z score were analyzed by using t tests. Analysis of covariance was used to assess the influence of continuous variables (age, body weight, height, BMI percentile, and BMI z score) on the relation between carrot portion size and the main study outcomes. Children who consumed all of the carrots (95% of the weight served) at any meal were identified, and data were analyzed both with and without these children to determine whether they influenced the results. The effect of individual children who were influential on the main study outcomes was assessed."

Loss to follow‐up:

There was no loss to follow‐up

Analysis:

Unclear if adjusted for clustering

Sample size calculations performed.

Notes

Sensitivity analysis ‐ primary outcome: Vegetable intake listed as primary outcome in trial registry.

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

“Children were enrolled from 5 classrooms; the order of the experimental conditions across study weeks was assigned to classrooms by using a Latin square design.”

Provided by study authors: "The orders of the experimental conditions across study weeks were created using Latin squares and then assigned to classrooms using a random number generator."

Allocation concealment (selection bias)

Unclear risk

It is not clear who undertook randomisation of classrooms.

Provided by study authors: "Classrooms (and the associated condition order) were assigned a color coding so that participants and teachers were uninformed of the experimental condition."

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

“Incidents of food and drink spillage were recorded by researchers. Teachers were instructed to redirect conversations pertaining to food to nonfood‐related topics to minimize the influence on lunch intake.”

Objective outcome measurement. Children were not blinded and it seems unlikely that this would influence their intake. Staff present during the meal and staff who served the food to children were not blinded and it seems unlikely this would influence child intake

Blinding of outcome assessment (detection bias)
All outcomes

High risk

“Uneaten items were removed, and weights were recorded to the nearest 0.1 g with digital scales”. “Incidents of food and drink spillage were recorded by researchers.”

Appears that researchers who weighed the food were the same researchers who recorded incidents of food and drink spillage. Researchers were not blinded and this may have had an impact on how the outcome was recorded in different classrooms

Incomplete outcome data (attrition bias)
All outcomes

Low risk

“A total of 51 children were enrolled, and all of them completed the study”

There were no children who dropped out over the study

Selective reporting (reporting bias)

Low risk

There is no study protocol and unable to determine if all prespecified outcomes have been reported as described

Provided by study authors: "All outcomes collected were reported in the paper (vegetable and food intake)"

Other bias

Low risk

There are no other sources of potential bias

Spill 2011a

Methods

Study design:

Randomised controlled trial – cross‐over

Funding:

Provided by study author: "Supported by the National Institute of Diabetes and Digestive and Kidney Diseases (R01 DK082580)."

Participants

Description:

Children aged 3‐6 years attending 2 daycare centres at the University Park campus of The Pennsylvania State University

N (Randomised):

49 children

Age:

Mean = 4.7 years

% Female:

54%

SES and ethnicity:

“Of the 39 children, 28 children (72%) were white, 9 children (23%) were Asian, and 2 children (5%) were black or African American. Parents of the children had above average education levels and household incomes; ˜90% of mothers and 80% of fathers had a college degree, and 76% of households had an annual income >$50,000.”

Inclusion/exclusion criteria:

Provided by study author: "Children with an allergy to the foods being served were not eligible to participate in the study. Parents and guardians provided informed written consent for both their own participation and that of their child."

Recruitment:

“Recruitment began by distributing letters to parents with children aged 3–6 years who were enrolled in daycare at the Bennett Family Center or the Child Development Laboratory at the University Park campus of The Pennsylvania State University.”

Recruitment rate:

Provided by study author: "100% of children whose parents signed consent form were included in the study"

Region:

Pennsylvania (USA)

Interventions

Number of experimental conditions: 3

Number of participants (analysed):

Overall = 39

Description of intervention:

“The 3 experimental entrees were manipulated by adding pureed vegetables to a standard recipe (100% energy dense (ED) condition) to reduce the ED by either 15% (85% ED condition) or 25% (75% ED condition). Manipulated entrees were zucchini bread at breakfast, pasta with tomato‐based sauce at lunch, and chicken noodle casserole at dinner and evening snack.”

In addition unmanipulated side dishes and snacks were served, including fruit, vegetables, milk and cheese and crackers

Duration:

3 weeks

Number of contacts:

3 (1 day a week)

Setting:

Preschool

Modality:

Face‐to‐face

Interventionist

Provided by study author: "Preschool teacher"

Integrity:

Provided by study author: "All children were served the food assigned in the experimental condition. There was no deviation from study protocol. No unplanned or unintended interventions."

Date of study:

Between January and May 2010

Description of control:

N/A

Outcomes

Outcome relating to children's fruit and vegetable consumption:

Child’s consumption of vegetable for difference energy density entrees (grams). “Food and beverage weights were recorded to the nearest 0.1 g with digital scales (PR5001 and XS4001S; Mettler‐Toledo Inc). The consumption of foods and beverages was determined by subtracting postmeal weights from premeal weights.”

Outcome relating to absolute costs/cost effectiveness of interventions:

Not reported

Outcome relating to reported adverse events:

Effect of intervention on amount of meal consumed

Length of follow‐up from baseline:

Unclear

Length of follow‐up post‐intervention:

Immediately

Subgroup analyses:

Provided by study author: "ANCOVA was used to assess the influence of continuous subject variables (age, body weight, height, and BMI percentile) on the relation between entree energy dense (ED) and the main study outcomes. t tests were used to test differences between girls and boys in ages, body weights, heights, BMI percentiles, and BMI z scores."

Loss to follow‐up:

Overall = 18%

Analysis:

Sample size calculations performed

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

The random sequence was generated with computer software

Allocation concealment (selection bias)

Unclear risk

”Random orders were generated with computer software and assigned to a list of participant identification numbers”

The random sequence was assigned to a list of participant identification number, but it is unclear if allocation was concealed.

Provided by study author: "Allocation was concealed to participants and teachers by assigning each child an ID number that was associated with their random order."

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

Vegetable intake:

Objective measure of child’s vegetable intake and unlikely to be influenced by performance bias

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Vegetable intake:

Objective measure of child’s vegetable intake and unlikely to be influenced by detection bias

Incomplete outcome data (attrition bias)
All outcomes

High risk

49 children were enrolled, but 9 were excluded because they had difficulty following the protocol. Given an intention‐to‐treat approach to analysis was not used, the risk of attrition bias is high

Selective reporting (reporting bias)

Low risk

The primary outcomes reported in the paper align with those specified in the trial registration

Other bias

Low risk

Contamination, baseline imbalance, & other bias that could threaten the internal validity are unlikely to be an issue

Spill 2011b

Methods

Study design:

Cluster‐randomised controlled trial – cross‐over

Funding:

Provided by study author: "Supported by the National Institute of Diabetes and Digestive and Kidney Diseases (R01 DK082580)."

Participants

Description:

Children aged 3‐5 years attending 2 daycare centres at the University Park campus of The Pennsylvania State University

N (Randomised):

5 classrooms, 73 children

Age:

Range 3.3 to 5.7 years (mean = 4.7 years)

% Female:

57%

SES and ethnicity:

“Parents of the children had above average education levels and household incomes; approximately 95% of mothers and 88% of fathers had a college degree and 70% of households had an annual income above $50,000.”

“Parents provided demographic information for 66 of the 72 children; of these, 42 (67%) were white, 17 (27%) were Asian, and 4 (6%) were black or African American”

Inclusion/exclusion criteria:

Provided by study author: "Children with an allergy to the foods being served were not eligible to participate in the study. Parents and guardians provided informed written consent for both their own participation and that of their child."

Recruitment:

“Recruitment began by distributing letters to parents who had children within the age range of three to six years enrolled in two daycare centers on the University Park campus of The Pennsylvania State University.”

Recruitment rate:

Provided by study author: "100% of children whose parents signed consent form were included in the study"

Region:

Pennsylvania (USA)

Interventions

Number of experimental conditions: 4

Number of participants (analysed):

Overall = 72

Description of intervention:

“On one day a week for four weeks, children in a daycare setting were provided with breakfast, lunch, and afternoon snack. Across the weeks, the portion size of soup (tomato soup) served in the first course of lunch was varied (150, 225, or 300 g) and during one week no first course was provided. The foods and beverages served in the main course of lunch, as well as the foods and beverages served at breakfast and snack, were not varied in portion size.”

Duration:

4 weeks

Number of contacts:

4 (1 day per week)

Setting:

Preschool

Modality:

Face‐to‐face

Interventionist:

Teachers

Integrity:

No information provided.

Date of study:

Provided by study author: "Data was collected from Dec. 2008 to Mar. 2009."

Description of control:

N/A

Outcomes

Outcome relating to children's fruit and vegetable consumption:

Child’s consumption of vegetable (grams): tomato consumed from soup + broccoli from main course, Broccoli only, Afternoon snack, Total (soup, broccoli and afternoon snack). Portion sizes of foods were provided and researchers recorded the amount consumed

Outcome relating to absolute costs/cost effectiveness of interventions:

Provided by study author: "Outside scope of this study; data not collected"

Outcome relating to reported adverse events:

Provided by study author: "Outside scope of this study; data not collected"

Length of follow‐up from baseline:

Unclear

Length of follow‐up post‐intervention:

Immediately

Subgroup analyses:

Provided by study author: "Analysis of covariance was used to assess the influence of continuous subject variables (age, body weight, height, and BMI percentile) on the relationship between soup portion size and the main study outcomes. T‐tests were used to test differences between girls and boys in age, body weight, height, and BMI percentile."

Loss to follow‐up:

Overall = 1%

Analysis:

Provided by study author: "Classroom was tested as a factor in the model, but it was not significant and was removed."

Sample size calculations performed.

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Provided by study author: "The orders of the experimental conditions across study weeks were created using Latin squares and then assigned to classrooms using a random number generator."

Allocation concealment (selection bias)

Unclear risk

Provided by study author: "Classrooms (and the associated condition order) were assigned a color coding so that participants and teachers were uninformed of the experimental condition."

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

Vegetable intake:

Objective measure of child’s vegetable intake and unlikely to be influenced by performance bias

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Vegetable intake:

Researchers recorded the number of pieces of each food item taken by the child and it is unlikely that this would be influenced by detection bias

Incomplete outcome data (attrition bias)
All outcomes

Low risk

72 out of 73 children were included in the vegetable intake analysis and therefore the risk of attrition bias is low

Selective reporting (reporting bias)

Low risk

Provided by study author: "All outcomes collected were reported in the paper (soup and food intake)"

Other bias

Low risk

Contamination, baseline imbalance, & other bias that could threaten the internal validity are unlikely to be an issue

Staiano 2016

Methods

Study design:

Randomised controlled trial

Funding:

“AES is supported, in part, by the 1 U54 GM104940 grant from the National Institute of General Medical Sciences of the National Institutes of Health, which funds the Louisiana Clinical and Translational Science Center (July, 2015 to June, 2017).”

Participants

Description:

Children aged 3 to 5 years attending at 2 full‐day preschools

N (Randomised):

42 children

Age:

Mean: Food modelling DVD = 4.5 years, Non‐food DVD = 4.1 years, No DVD (Control) = 4.3 years

% Female:

50%

SES and ethnicity:

Child: White = 74%, African American = 5%, Asian = 10%, Hispanic = 10%

Inclusion/exclusion criteria:

Not specified

Recruitment:

Not specified

Recruitment rate:

39% (42/108)

Region:

LA (USA)

Interventions

Number of experimental conditions: 3

Number of participants (analysed):

Food modelling DVD = 14

Non‐food DVD = 14

No DVD (Control) = 14

Description of intervention:

Food modelling group = Copy‐Kids Eat Fruits and Vegetables DVD

Non‐food DVD group = Copy‐Kids Brush Teeth.

Day 1: “Depending on the condition, on day 1 the child viewed 1 of 2 video clips or sat quietly for 7.5 minutes. Two plates of snacks (the modelled vegetable and a comparison food) were placed in front of the participant in a standardized format (green bell peppers on the right and dry cereal on the left) on separate, identical white Styrofoam plates. Children were instructed to eat as much or as little as they wished during this time. The video segments were played concurrently during the food presentation”

Day 2 and 7: “food items were presented for 7.5 minutes without the concurrent video presentation”.

Duration:

1 week ± 2 days

Number of contacts:

3

Setting:

Preschool

Modality:

Visual/audio ‐ DVD

Interventionist:

Unclear

Integrity:

No information provided

Date of study:

Unknown

Description of control:

No DVD Control: food items were presented the same way as in the intervention but no DVD was played on any of the 3 exposure days

Outcomes

Outcome relating to children's fruit and vegetable consumption:

Child’s consumption of vegetable (grams). “Study staff weighed 0.5 cups of the modeled vegetable (ie, approximately 80 g of raw, sliced green bell pepper) and 0.5 cups of the comparison food (ie, approximately 16 g of Multi Grain Cheerios; General Mills, Minneapolis, MN) using a transportable scale before and after snack presentation on days 1, 2, and 7.”

Outcome relating to absolute costs/cost effectiveness of interventions:

Not reported

Outcome relating to reported adverse events:

Not reported

Length of follow‐up from baseline:

1 week ± 2 days

Length of follow‐up post‐intervention:

Immediately

Subgroup analyses:

None

Loss to follow‐up:

There was no loss to follow‐up

Analysis:

Unknown if sample size calculations performed.

Notes

Outcome data from the longest follow‐up < 12 months (day 7). We estimated the mean and SEM from a study figure using an online resource (Plot Digitizer: plotdigitizer.sourceforge.net) for all 3 groups. We combined the control DVD and control conditions into a single control group for inclusion in meta‐analysis.

Sensitivity analysis ‐ primary outcome: Primary outcome not stated, fruit or vegetable intake 1st listed outcome in abstract

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

“used block randomization to distribute age and sex evenly across conditions using a randomization schedule generated with SAS programming”

The random sequence was generated using statistical software, SAS

Allocation concealment (selection bias)

Unclear risk

There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed

Blinding of participants and personnel (performance bias)
All outcomes

Unclear risk

Vegetable intake (weighed):

Objective measure of child’s vegetable intake and unlikely to be influenced by performance bias

Parent reported fruit and vegetable consumption:

There is no blinding to group allocation of participants or personnel described and this is likely to influence performance. However, it does appear that parents were blinded to the food provided to their children. “Researchers did not inform parents regarding which foods were presented to the children.”

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Vegetable intake (weighed):

Objective measure of child’s vegetable intake and unlikely to be influenced by detection bias

Parent reported fruit and vegetable consumption:

There is no blinding to group allocation of participants or personnel described and these are self‐reported measures. However, “Researchers did not inform parents regarding which foods were presented to the children.”

Incomplete outcome data (attrition bias)
All outcomes

Low risk

All participants randomised completed the study. Therefore low risk of attrition bias

Selective reporting (reporting bias)

Low risk

There is no study protocol therefore it is unclear if there was selective outcome reporting

Other bias

Unclear risk

The authors state that limitations included potential for within‐school contamination across conditions. No other evidence presented about this potential bias

Sullivan 1994

Methods

Study design:

Randomised controlled trial

Funding:

Supported by the Gerber Products company and National Institutes of Health Grant 2RO0HD197S2‐07

Participants

Description:

Mothers and their 4 to 6‐month old infants

N (Randomised):

36 children

Age:

Child (mean): 22 weeks (17‐27 weeks)

% Female:

56%

SES and ethnicity:

Not reported

Inclusion/exclusion criteria:

“The 36 infants and their mothers who participated met the following criteria: 1. Infants were between 4 and 6 months of age at the beginning of the study; 2. Parents had just begun feeding solid foods and had only given cereals or cereals and fruits; 3. Parents indicated readiness to begin or continue introducing solid foods to the infant; and 4. Absence of medical complications or physical problems.”

Recruitment:

“Subjects were solicited through birth records and advertisements in local newspapers.”

“Parents were contacts and informed of the study before the time their infants would be expected to be introduced to solid foods and contact was reestablished when they were ready to participate.”

Recruitment rate:

Unknown

Region:

USA

Interventions

Number of experimental conditions: 4

Number of participants (analysed):

Peas salted: 9

Peas unsalted: 10

Green beans salted: 8

Green beans unsalted: 9

Description of intervention:

“Foods used throughout the study, pureed peas and green beans, were prepared especially for the study by the Gerber Products Company. Salted and unsalted versions of the two vegetables were prepared. The salted version of each food contained 0.3g NaCI/100g. The foods were presented to the mothers in jars, containing 71g of food and labels did not indicate the presence or absence of salt.”

Duration:

10 days

Number of contacts:

10 (once per day)

Setting:

Home

Modality:

Face‐to‐face

Interventionist:

Parents

Integrity:

“On each feeding occasion, parents completed a brief form noting information on the number of the jar used (1through 10), date of feeding, time at the start and end of the feed, infant state of alertness at the beginning of the feed, health of the infant, and the overall quality of the interaction during the feeding.”

Date of study:

Unknown

Description of control:

N/A

Outcomes

Outcome relating to children's fruit and vegetable consumption:

Children’s consumption of vegetable (grams): Weighed jars of off before feeding session, resealed and frozen once feeding was finished. Jars collected and weighed by research team to determine grams of intake.

Outcome relating to absolute costs/cost‐effectiveness of interventions:

Not reported

Outcome relating to reported adverse events:

No adverse reactions were observed

Length of follow‐up from baseline:

25 days

Length of follow‐up post‐intervention:

Immediately and at 1 week

Subgroup analyses:

None

Loss to follow‐up:

There was no loss to follow‐up

Analysis:

Unknown if sample size calculation was performed

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

“The 36 infants were randomly assigned to receive either salted or unsalted peas or green beans; thus forming a total of four treatment groups.”

No mention of how the randomization sequence was generated.

Allocation concealment (selection bias)

Unclear risk

There is no mention of allocation concealment.

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

“The foods were presented to the mothers in jars, containing 71 g of food, and labels did not indicate the presence or absence of salt.”

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

“All ratings were made while mothers and the research assistant were blind to whether infants were fed peas or beans, whether the feedings observed occurred before or after the repeated exposures, and whether or not the infants were being fed salted or unsalted vegetables.”

Incomplete outcome data (attrition bias)
All outcomes

Low risk

There is no attrition reported.

Selective reporting (reporting bias)

Unclear risk

There is no trial registration or protocol paper.

Other bias

Low risk

No other sources of bias were identified.

Tabak 2012

Methods

Study design:

Randomised controlled trial

Funding:

“Funding for this research was provided by an unrestricted grant from ‘‘Get Kids in Action,’’ a partnership between the Gatorade Corporation and the University of North Carolina.”

Participants

Description:

Children aged 2 to 5 years and their parent

N (Randomised):

50 parent‐child dyads

Age:

Child (mean): Intervention = 3.9 years, Control = 3.3 years

Parent (mean): Intervention = 36.6 years, Control = 36.2 years

% Female:

Child: Intervention = 59%, Control = 67%

Parent: Intervention = 86%, Control 90%

SES and ethnicity:

Parent (non‐white): Intervention = 18%, Control = 10%

Income (USD):

< 50,000: Intervention = 18%, Control = 81%

≥ 50,000: Intervention = 77%, Control = 19%

Education:

College or less: Intervention = 36%, Control = 43%

Inclusion/exclusion criteria:

At least 1 child 2 ‐ 5 years old, “Additional eligibility criteria included having lived in their current residence and planning to stay in that residence for at least 6 months. If the family had more than 1 eligible child, the eldest was selected as the reference child”

Recruitment:

“A convenience sample of 50 parent‐child dyads, with at least 1 child 2‐5 years old, was recruited through child care centers, listservs, and community postings. Interested parents responded to recruitment materials and were screened by phone.”

Recruitment rate:

Unknown

Region:

USA

Interventions

Number of experimental conditions: 2

Number of participants (analysed):

Intervention = 22, control = 21

Description of intervention:

“addressed vegetable and food issues based on the baseline surveys, and the dietitian helped parents select 1 primary target area for improvement during the intervention from 4 possible options (vegetable availability; picky eating; modeling; family meals). These areas were selected based on Social Cognitive Theory, which posits that there is reciprocal interaction between an individual and his/her environment. This theory also highlights the importance of self‐efficacy, which was thus a target of the intervention as well.”

Duration:

4 months

Number of contacts:

6 (2 phone calls, 4 newsletters)

Setting:

Home

Modality:

Multiple (telephone, newsletters)

Interventionist:

A registered dietitian

Integrity:

No information provided

Date of study:

April and December 2009

Description of control:

“Control group families received 4 non‐health/nutrition related children's books, 1 per month.”

Outcomes

Outcome relating to children's fruit and vegetable consumption:

Child’s consumption of vegetables (servings per day) assessed using a Block Kids food frequency questionnaire (FFQ) completed by parents.

Outcome relating to absolute costs/cost effectiveness of interventions:

Not reported

Outcome relating to reported adverse events:

Not reported

Length of follow‐up from baseline:

5 months

Length of follow‐up post‐intervention:

Immediate

Subgroup analyses:

None

Loss to follow‐up:

Intervention = 12%

Control = 16%

Analysis:

Unknown if sample size calculations performed

Notes

To enable inclusion in meta‐analysis, we calculated post‐intervention means by group by summing baseline and change from baseline means, and assumed baseline SDs for post‐intervention SDs.

Sensitivity analysis ‐ primary outcome: Primary outcome not stated, fruit or vegetable intake 2nd listed outcome after height and weight

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Randomly allocated to experimental group but the random sequence generation procedure is not described

Allocation concealment (selection bias)

Unclear risk

There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Child vegetable intake (parent reported):

There is no blinding to group allocation of participants or personnel described and this is likely to influence performance

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Child vegetable intake (parent reported):

There is no blinding to group allocation of participants or personnel described and because this is a parent‐reported measure at high risk of detection bias

Incomplete outcome data (attrition bias)
All outcomes

Low risk

43 (86%) of the 50 parent‐child dyads recruited completed the study. Therefore at low risk of attrition bias

Selective reporting (reporting bias)

Unclear risk

There is no study protocol therefore it is unclear if there was selective outcome reporting

Other bias

Unclear risk

Participants differed on child age by condition. However although this was adjusted for in the analysis the impact of this imbalance is unclear

Vazir 2013

Methods

Study design:

Cluster‐randomised controlled trial

Funding:

“Indian Council of Medical Research, India and the NIH/NICHD (5 R01 HD042219‐S1); additional funding from UNICEF, New York.”

Participants

Description:

Mothers and their infants from 60 villages in India

N (Randomised):

60 villages (clusters), 607 mother‐infant dyads

Age:

Child: “The intervention began with infants are about 3 months old”

Mother (mean): Complementary feeding group: 22.3 years, Responsive complementary feeding and play group: 22.3 years, Control group: 21.9 years

% Female:

Child: Complementary feeding group = 52%, Responsive complementary feeding and play group = 51%, Control group = 49%

Parent: 100%

SES and ethnicity:

Percentage mothers finished secondary or high school: Complementary feeding group = 25%, Responsive complementary feeding and play group = 32%, Control group = 27%.

Mean standard of living index score: Complementary feeding group = 25.6, Responsive complementary feeding and play group = 25.3, Control group = 26.3

Inclusion/exclusion criteria:

Inclusion: had to be part of the ‘Integrated Child Development Services’ project areas, be pregnant in their third trimester

No exclusion criteria mentioned in text but in figure states “excluded as per criteria: microcephaly, physical handicap, mother mentally handicapped, cerebral palsy, thalassemia, child passes away.”

Recruitment:

“We explained the study objectives to all the pregnant women in the villages and asked if they would like to participate in the study. There were no refusals.”

Recruitment rate:

100%

Region:

India

Interventions

Number of experimental conditions: 3

Number of participants (analysed):

Complementary feeding group = 170

Responsive complementary feeding and play group = 145

Control group = 168

Description of intervention:

Complementary feeding group: “In addition to the ‘Integrated Child Development Services’, mothers in this group received 11 nutrition education messages on sustained breastfeeding and complementary feeding through twice‐a‐month or four times a month (depending on the age of the infant) home‐visits over 12 months by the trained village women using flip charts, other visual material, demonstrations and counselling sessions.”

Responsive complementary feeding and play group: “In addition to the ‘Integrated Child Development Services’, mothers in this group received education on complementary feeding as in the complementary feeding group (11 messages), eight messages and skills on responsive feeding, and eight developmental stimulation messages using five simple toys. This group of mothers also received developmentally appropriate toys five times during the intervention with instructions on how to use them to engage and play with their children.”

Duration:

12 months

Number of contacts:

30 planned visits “The first visits were in the fourth month, after the baseline when infants were 3 months old. From 4 to 6 months, mothers were visited twice per month, or 6 visits; from 7 to 9 months, they were visited 4 times a month, or 12 visits; and from 10 to 14 months, they were visited twice a month, or 12 visits,”

Setting:

Home + centre‐based supplemental food

Modality:

Face‐to‐face

Interventionist:

The trained village women

Integrity:

“Trained graduates in nutrition supervised the village women, examined their records of visits and asked mothers independently what they were told in the village woman’s’ last visit. They also held periodic reinforcement training sessions with the village women.”

Date of study:

Unknown

Description of control:

“Control group (CG): Mothers and infants in this group received only the routine ‘Integrated Child Development Services’, which were operating across all study groups. These services consist mainly of centre‐based supplemental food provided to 1–6‐year‐olds, pregnant and nursing mothers, home‐visit counselling on breastfeeding and complementary feeding, monthly growth monitoring, and non‐formal preschool education for children 3–5 years of age.”

Outcomes

Outcome relating to children's fruit and vegetable consumption:

Child’s consumption of banana, spinach, pulses (legumes): “Dietary intake was evaluated by the 24‐h recall method using standard cups with specified volume to help recall the food serving amounts.”

Outcome relating to absolute costs/cost‐effectiveness of interventions:

Not reported

Outcome relating to reported adverse events:

Not reported

Length of follow‐up from baseline:

12 months

Length of follow‐up post‐intervention:

Immediately

Subgroup analyses:

None

Loss to follow‐up:

Overall: 15%

Analysis:

Adjusted for clustering

Sample size calculations performed

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

“The random allocation using a random number generator (facilitated through a tailor‐made syntax programme in the Statistical Package for the Social Sciences (SPSS), which uses the select cases function) was undertaken by a researcher who was not familiar with the villages or their characteristics other than what could be derived from the 2001 census data.”

Allocation concealment (selection bias)

Unclear risk

There is no mention of allocation concealment.

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Both the village women (VW) delivering the intervention, and mothers receiving the intervention were likely to be aware of their experimental group allocation.

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

“The assessment teams (psychologists and nutritionists) were blinded to the intervention and had no interaction with the VWs. They did not meet as they used different transport and timetable of activities. The villages had no identification mark to indicate the group to which they had been randomized.”

Incomplete outcome data (attrition bias)
All outcomes

Low risk

“After 12 months of intervention and consequent attrition (15%), the sample comprised 511 mothers and children with 182 in CG, 176 in CFG and 153 in the RCF&PG. All 60 clusters remained in the study. Loss to follow‐up was greater in the RCF&PG (22%) compared with the CG (9%) and CFG (16%) although this difference was not statistically significant.”

“Reasons for follow‐up losses during the study were migration (9.2%), house found locked on repeated visits (4.7%) and death of the child (1%). The demographic characteristics of those lost to follow‐up and those who remained were not different.”

Loss to follow‐up was uneven across the study arms (not stat significant), but were not due to the trial. No loss of clusters

Selective reporting (reporting bias)

Unclear risk

There is no trial registration or protocol paper.

Other bias

Low risk

Recruitment bias: (low) “We explained the study objectives to all the pregnant women in the villages and asked if they would like to participate in the study. There were no refusals.”

Baseline imbalance: (low) “There were no significant differences among the three groups in any of the baseline characteristics"

Loss of clusters: (low) “All 60 clusters remained in the study.”

Incorrect analysis: (low) “Values presented in the text and tables are means & standard deviations at the individual level and ICCs are presented to quantify the clustering effects”

Verbestel 2014

Methods

Study design:

Cluster‐randomised controlled trial

Funding:

"The work was supported by the Ministry of the Flemish Community (Department of Economics, Science and Innovation; Department of Welfare, Public Health and Family)."

Participants

Description:

Children aged 9 to 24 months enrolled at daycare centres in 6 different communities in Flanders (Belgium)

N (Randomised):

70 day care centres, 203 children

Age:

Mean: Intervention = 15.8 months, Control = 14.9 months

% Female:

Intervention = 47%, Control = 44%

SES and ethnicity:

Low SES: Intervention = 13%, Control = 24%

Inclusion/exclusion criteria:

No explicit inclusion criteria stated for this trial

Children were excluded if they were not present in daycare on the measurement day for objective height and weight at baseline (i.e. not fulfilling the minimum criteria to be included in the study)

Recruitment:

“Within each day‐care centre, parents of all children aged 9–24 months were invited to enrol their child in the study.”

Recruitment rate:

50% (203/404)

Region:

Flanders (Belgium)

Interventions

Number of experimental conditions: 2

Number of participants (analysed):

Intervention = 100, control = 56

Description of intervention:

“The intervention aimed at increasing daily consumption of water (instead of soft drinks), milk, fruit and vegetables, increasing daily physical activity and decreasing daily consumption of sweets and savoury snacks and daily screen‐time behaviour.”

“programme that consisted of two components: (i) guidelines and tips presented on a poster and (ii) a tailored feedback form for parents about their children’s activity‐ and dietary related behaviours.”

Duration:

12 months

Number of contacts:

Unclear

Setting:

Preschool

Modality:

Face‐to‐face

Interventionist:

Researchers

Integrity:

No information provided

Date of study:

2008 to 2009

Description of control:

No information provided

Outcomes

Outcome relating to children's fruit and vegetable consumption:

Child’s consumption of fruit and vegetables assessed using a 24‐item semi‐quantitative food frequency questionnaire (FFQ) completed by parents.

Outcome relating to absolute costs/cost effectiveness of interventions:

Not reported

Outcome relating to reported adverse events:

Not reported

Length of follow‐up from baseline:

12 months

Length of follow‐up post‐intervention:

Immediate

Subgroup analyses:

None

Loss to follow‐up:

Intervention = 21%

Control = 14%

Analysis:

Did not adjust for clustering

Unknown if sample size calculations performed

Notes

First reported outcome (grams fruit/day) was extracted for inclusion in the meta‐analysis. The reported estimate that adjusted for clustering did not report 95% CI or SEM. Therefore we used final values and calculated an effective sample size using ICC of 0.016 to enable inclusion in meta‐analysis.

Sensitivity analysis ‐ primary outcome: Primary outcome not stated, fruit or vegetable intake 2nd listed outcome after BMI

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Randomly allocated to experimental group but the random sequence generation procedure is not described

Allocation concealment (selection bias)

Unclear risk

There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Fruit and vegetable intake (parent reported):

Parents were not blinded to group allocation and this is likely to influence performance

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Fruit and vegetable intake (parent reported):

Parents were not blinded to group allocation and this is likely to influence performance

Incomplete outcome data (attrition bias)
All outcomes

High risk

FT: Of 203 children, 156 (77%) were re‐examined 12 months later at follow‐up (this is the first follow‐up post‐intervention). If we define this as short‐term follow‐up, this is high risk of bias as > 20% dropout

Selective reporting (reporting bias)

Unclear risk

There is no study protocol therefore it is unclear if there was selective outcome reporting

Other bias

High risk

Baseline imbalance: Baseline differences were observed between the control and intervention groups in sociodemographic characteristics and body composition. However although this was adjusted for in the analysis the impact of this imbalance is unclear.

“The analyses were adjusted for SES, age of the child and BMI Z‐score at baseline to control for the observed baseline imbalance in these variables between intervention and control groups.”

Recruitment bias: Appears that parents and childcare centres were recruited after communities had been matched and randomised ‐ high risk

Incorrect analyses: Linear mixed models adjusted for clustering within daycare centres, but standard errors were not reported. Reported mean (SD) by group at follow‐up and calculation of effective sample sizes prior to inclusion in meta‐analyses accounted for this, therefore low risk.

Vereecken 2009

Methods

Study design:

Cluster‐randomised controlled trial

Funding:

"The development of the intervention was funded by the PWO(Project‐related Scientific Research)‐funding of University College Arteveldehogeschool. Funds for the evaluation were provided by the Provincial Government East‐Flanders."

Participants

Description:

Children attending 16 preschools in East Flanders (Belgium)

N (Randomised)

16 preschools, 1432 preschoolers

Age: (DOB)

< 2002: intervention = 41%, control = 51%

2002: intervention = 28%, control = 24%

2003: intervention = 31%, control = 26%

% Female:

Intervention = 53%, control = 44%

SES and ethnicity:

Predominantly low parental education

Low education (mother): intervention = 49%, control = 49%

Low education (father): intervention = 60%, control = 57%

Ethnicity: No information provided

Inclusion/exclusion criteria:

Not specified

Recruitment:

Schools were approached by mail for consent. All parents of preschoolers attending the consenting schools were asked to fill in a food frequency questionnaire

Recruitment rate:

Parents: 54%

Schools: 10% (40 out of 403 schools consented, although only 8 were selected in the end)

Region:

East Flanders (Belgium)

Interventions

Number of experimental conditions: 2

Number of participants (analysed):

Intervention = 308, Control = 168

Description of intervention:

8 preschools received a multi‐component intervention to assist schools to implement a healthy school food policy. "The main objectives were to increase the consumption of fruit, vegetables and water and to decrease the consumption of sugared milk drinks and fruit juice."

The main strategies to influence the child and the different environmental factors included:

"Child: Guided and self‐guided activities based on experiential education (e.g. tasting) and developmental education (e.g. explanation of concepts of food triangle); Role model, feed back and reinforcement by teachers; Educational role‐model story and characters; Availability of healthy foods; Availability of cooking equipment. 

Parents: Newsletters; Suggestions for the back and forth diary; Work sheets and creations by children; Parent evenings and other school activities with parents

Teacher: Training sessions; Manual including didactic and policy aspects; Digital learning environment; Newsletters; Group discussions with teachers; Examples of good practices 

School environment: Newsletters; Training sessions for principals and cafeteria staff; Help on demand via e‐mail; Examples of good practices; Policy aspects in the teachers’ manual; Feedback to schools."

Duration:

6 months

Number of contacts:

Unclear (multicomponent)

Setting:

Preschool

Modality:

Multiple (staff training, experiential education, newsletters, email support, resources)

Interventionist:

Not specified

Integrity:

No information provided

Date of study:

Sept 2006 ‐ April 2007

Description of control:

8 preschools received the control: no information provided

Outcomes

Outcome relating to children's fruit and vegetable consumption:

Daily consumption of fresh fruit and vegetables (grams) as reported by parents in a written food frequency questionnaire

Length of follow‐up from baseline:

6 months (March/April 2007)

Subgroup analyses:

None

Loss to follow‐up

Intervention: 47%

Control: 45%

Analysis:

Contact with the author indicated that the analysis was adjusted for clustering by school

Unknown if sample size calculation was performed

Notes

Trial results are reported as change from baseline in mean daily consumption of fruit and vegetables and post‐intervention values. No standard deviations were reported for post‐intervention data to enable inclusion in meta‐analysis

Sensitivity analysis ‐ primary outcome: Fruit or vegetable intake is primary outcome

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Contact with the author indicated that a computerised random‐number generator was used

Allocation concealment (selection bias)

Unclear risk

Contact with the author indicated that schools did not know their allocation prior to consenting to the study. It is unclear if study personnel responsible for recruitment were aware of group allocation

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Contact with the author indicated that parents and school staff were not blind to group allocation and that parents could have attended information sessions organised by the researchers, or observed posters, newsletters or intervention materials in intervention schools. Given that the relevant trial outcomes were based on parental reports, the review authors judged that there was a risk of bias

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Contact with the author indicated that parents and school staff were not blind to group allocation and that parents could have attended information sessions organised by the researchers, or observed posters newsletters or intervention materials in intervention schools. Given that the relevant trial outcomes were based on parental reports, the review authors judged that there was a risk of bias. (NB. There were no independent outcome assessors in this trial; the parents completed and returned a food frequency questionnaire about their child's food intake)

Incomplete outcome data (attrition bias)
All outcomes

Unclear risk

Although similar across groups (intervention = 47%, control = 45%), rates of loss to follow‐up were high. Contact with the author indicated that no information was collected on reasons for loss to follow‐up

Selective reporting (reporting bias)

Unclear risk

Insufficient information to permit judgement

Other bias

Low risk

Contact with the author indicated that analysis was adjusted for clustering

No further risk of bias identified

Wardle 2003a

Methods

Study design:

Randomised controlled trial

Funding:

Not reported

Participants

Description:

Children aged 2 to 6 years and their principal caregiver (parent) who were recruited from a larger study

N (Randomised):

156 children

Age:

Child: 34 to 82 months (mean = 53 months)

Parent: mean = 36 years

% female:

Children (by group): Exposure = 34%, Nutrition Information = 58%, Control = 51%

Parent (overall): 95%

SES and ethnicity:

"68% of parents had left full‐time education at the age of 21 or over" and "the majority of parents held further education qualifications."

Ethnicity = 74% white

Inclusion/exclusion criteria:

No explicit inclusion/exclusion criteria stated for this trial, or for the trial from which participants were recruited. 13 children (1 girl, 12 boys) were excluded when they did not comply with the experimental procedures during the pre‐experimental taste test

Recruitment:

Participants were recruited from a larger study on the predictors of children's fruit and vegetable intake and expressed an interest in participating in further research to modify their children’s acceptance of vegetables

Recruitment rate:

Parents: 28%

Region:

United Kingdom

Interventions

Number of experimental conditions: 3

Number of participants (analysed):

i) Restricted to at least 10 out of 14 exposures:

Exposure = 34, Nutrition Information = 48, Control = 44

ii) All available data:

Exposure = 48, Nutrition Information = 48, Control = 44

Description of intervention:

Exposure: Taste exposure intervention carried out in the home where parents were asked to offer their child a taste of a target vegetable daily for 14 consecutive days. Parents were given suggestions to encourage the child to taste the vegetable. Parents were given a vegetable diary to record their experiences, and children could record their liking for the vegetable after each session using 'face' stickers.

Nutrition Information: Parents were informed about the ‘5 a day’ recommendations and given a leaflet with advice and suggestions for increasing children’s fruit and vegetable consumption

Duration:

14 days

Number of contacts:

14 (daily for 14 consecutive days)

Setting:

The home

Modality:

Face‐to‐face, exposure

Interventionist:

Researchers trained parents to offer the target vegetable to their child

Integrity:

14 participants in the exposure group failed to complete a minimum of 10 out of 14 tasting sessions.

‐ 4 children completed 9 sessions, 2 completed 8 sessions, 2 completed 7 sessions, 1 completed 6 sessions, 4 completed 5 or less sessions

Date of study:

Not provided

Description of control:

"No treatment" control ‐ parents received no further intervention

Outcomes

Outcome relating to children's fruit and vegetable consumption:

As‐desired consumption of target vegetable (grams) assessed by weighing the amount of the vegetable on the plate before and after consumption using a professional digital scale (Tanita Corporation, Japan)

Length of follow‐up from baseline:

Approximately 2 weeks

Subgroup analyses:

Restricted sample to only those in the taste exposure group who received 10 or more exposures. This restricted the Exposure group from 48 to 34 children.

Loss to follow‐up:

2% (140 provided follow‐up data of 143 who were eligible and provided data at baseline).

Exposure: 4% (children withdrawn from their study by their parents following collection of baseline data).

Nutrition Information: 0%

Control: 2% (children withdrawn from their study by their parents following collection of baseline data).

Analysis:

Adjustment for clustering not applicable

Unknown if sample size calculation was performed

Notes

"Two sets of analyses were carried out: (a) on a restricted sample which excluded those in the Exposure group who completed less than 10 tasting sessions (n=126) and (b) on the whole sample (n=140). Results below refer to the reduced sample size ... results for the whole sample are only included where they differed from these."

Sensitivity analysis ‐ primary outcome: Primary outcome not stated, fruit or vegetable intake 3rd listed outcome after rated and ranked liking.

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

"Participants were randomly assigned to one of three experimental treatment groups". No further information provided regarding sequence generation

Allocation concealment (selection bias)

Low risk

Contact with the author indicated that allocation was concealed in an opaque envelope opened at participant's homes after baseline data collection

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

Contact with the author indicated that personnel delivering the intervention were not blind to group allocation and that parents may not have been blind to group allocation. However, given the objective assessment of outcome (electronic scales), the review authors judged that the study outcome was unlikely to be affected by lack of blinding

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Contact with the author indicated that the outcome assessors were not blind to group allocation. Given the objective measure of outcome (electronic scales), assessment is unlikely to have been influenced by lack of blinding

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Rates of loss to follow‐up were similar and low across the exposure (4%), nutrition information (0%) and the control conditions (2%). Reasons for loss to follow‐up were provided and were similar

Selective reporting (reporting bias)

Unclear risk

Insufficient information to permit judgement

Other bias

Low risk

No further risk of bias identified

Watt 2009

Methods

Study design:

Randomised controlled trial

Funding:

"This work was commissioned by the Food Standards Agency in 2009 and supported by the Department of Health (UK) from 2010."

Participants

Description:

New mothers attending baby clinics in disadvantaged London neighbourhoods

N (Randomised):

312 mothers

Age:

Children: mean = 10 weeks

Parents: mean = 30 years

% Female:

Children = not stated

Parents = 100%

SES and ethnicity:

28% lone parents

57% living in social housing

33% receiving income support/job seeker's allowance

Ethnicity: 50% from an ethnic minority

Inclusion/exclusion criteria:

Inclusion criteria: "Women from Registrar General occupational classes II‐V (non‐professional); babies born >/= 37 weeks; babies' birth weight above 2500g; singletons; women able to understand written and spoken English; and resident in the study area."

Exclusion criteria: "Women aged under 17 years; infants were diagnosed with a serious medical condition or were on special diets; infants aged over 12 weeks; women or their partners were from social class I (professional). Originally their intention was to restrict the sample to first‐time mothers over the initial 12 week recruitment period. The inclusion criteria was therefore changed to include all new‐mothers."

Recruitment:

"Women were recruited from December 2002 to February 2004 at baby clinics located in the more disadvantaged neighbourhoods across Camden and Islington where Surestart (a national social welfare initiative targeting families with young children) programmes existed. A standardised technique was used to approach new mothers attending the baby clinics. An overview of the study was given and randomisation explained. If the women were interested, a short screening questionnaire was then used to assess their eligibility."

Recruitment rate:

Mothers: 82%

Region:

London, UK

Interventions

Number of experimental conditions: 2

Number of participants (analysed):

Intervention = 124, Control = 115 (12 months)

Intervention = 108, Control = 104 (18 months)

Description of intervention:

A monthly home visiting programme (from 3 to 12 months) delivered by trained local mothers, providing practical support on infant‐feeding practices.

Duration:

9 months (duration of each visit = 60 min)

Number of contacts:

Monthly from 3 to 12 months (maximum = 10 contacts)

Setting:

The home

Modality:

Face‐to‐face, via home‐visiting

Interventionist:

Trained local volunteers "A group of local mothers were recruited and trained to provide the support in a 12‐session programme delivered over a 4‐week period."

Integrity:

"On average each woman in the intervention group received five volunteer home visits (range 1‐10). A small number of women were also contacted by telephone when home visits were not possible."

Date of study:

Recruited from Dec 2002 to Feb 2004

Description of control:

Usual care. "Women in the control group only received standard professional support from health visitors and GPs."

Outcomes

Outcome relating to children's fruit and vegetable consumption:

Children's intake of vitamin C from fruit

Secondary outcome: Proportion of children who consumed specific fruits and vegetables more than once a week

Length of follow‐up from baseline:

9 months and 15 months (when children aged 12 months and 18 months, respectively)

Subgroup analyses:

None

Loss to follow‐up: (at 9 and 15 months)

Intervention: 27%, 34%

Control: 20%, 30%

Analysis:

Adjustment for clustering not applicable

Sample size calculation was performed

Notes

Vitamin C (mg) from fruit at the longest follow‐up < 12 months (9 months ‐ children aged 12 months) and ≥ 12 months (15 months ‐ children aged 18 months old) was extracted for inclusion in meta‐analysis.

Sensitivity analysis ‐ primary outcome: Vitamin C intake from fruit listed as primary outcome

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

"A random allocation schedule was prepared in advance using random digit computer tables."

Allocation concealment (selection bias)

Low risk

"Those responsible for recruiting ... were all masked to group assignment."

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Contact with the author indicated that parent participants and intervention personnel were not blind to group allocation. Given that the trial outcome was based on parental reports of children's fruit intake, the review authors judged that there was a risk of performance bias in this study

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

"Those responsible for ... assessing outcomes were all masked to group assignment."

Incomplete outcome data (attrition bias)
All outcomes

High risk

Rates of loss to follow‐up were similar across intervention (27%, 34%) and control (20%, 30%) groups at both time points and were moderate. There were no substantial differences in the reasons for loss to follow‐up

Selective reporting (reporting bias)

Low risk

All primary or secondary outcomes of interest were reported according to the information provided in the trial register (ISRCTN 55500035)

Other bias

Low risk

Small deviation in protocol: The original sample was restricted to first‐time mothers but after 12 weeks of the 14‐month recruit this was broadened to all new mothers

No further risks of bias identified

Williams 2014

Methods

Study design:

Cluster‐randomised controlled trial

Funding:

"This research was supported by US Department of Agriculture’s (USDA) Food and Nutrition Service (FNS)."

Participants

Description:

Children attending childcare centres participating in the Child and Adult Care Food Program and their parent

N (Randomised):

24 childcare centres, 1143 parent‐child dyads

Age:

Child: mean = 4.4 years

Parent: “Overall, 67% of respondents were between the ages of 18 and 34”

% Female:

Child = 48%

Parent: not specified

SES and ethnicity:

Parent: “40% were Hispanic or Latino; 24% were white, non‐Hispanic; 27% were black, non‐Hispanic; and 9% were another race or more than one race”

Inclusion/exclusion criteria:

Not specified

Recruitment:

“The study sampled child‐care centers participating in the Child and Adult Care Food Program in New York”

“Approximately 5 to 6 weeks before the start of the intervention in spring 2010, teachers sent children home with a study invitation and the baseline survey. Parents who agreed to participate in the study were asked to return a contact information card and the completed questionnaire in a separate envelope to preserve confidentiality.”

Recruitment rate:

Parent: 75% (1143/1518)

Region:

New York (USA)

Interventions

Number of experimental conditions: 2

Number of participants (analysed):

Intervention = 440, control = 462

Description of intervention:

Eat Well Play Hard in Child Care Settings program “is a Supplemental Nutrition Assistance Program (SNAP) Education program that allows states to receive funding for nutrition education to improve the likelihood that SNAP participants will make healthy food choices.”

“The program includes multilevel messaging targeted to preschool children, their parents, and the childcare center staff who shape the policies and practices in their child‐care environment.”

“Some of the most frequently taught modules used for this intervention included trying new foods (Food Mood); eating a variety of vegetables (Vary Your Veggies); eating a variety of fruits (Flavorful Fruit); incorporating more healthy dairy products into the diet (Dairylicious); eating healthier snacks (Smart Snacking); and engaging in physical activity (Fitness Is Fun).”

Duration:

6 ‐ 10 weeks

Number of contacts:

6 classes for children and parents separately (30‐60 minutes per session)

2 classes for centre’s staff “Finally, the RDN works with each centre director to identify areas of policy improvement that can enhance nutrition at the centre and teaches at least two classes to the centre’s staff to help them integrate the program’s messages into their classroom activities”

Setting:

Preschool

Modality:

Multiple (face‐to‐face, printed materials/resources)

Interventionist:

Registered dietitian nutritionist

Integrity:

No information provided

Date of study:

March and June 2010

Description of control:

Wait‐list control:

“control centers received the intervention after the evaluation was completed, but within the same calendar year.”

Outcomes

Outcome relating to children's fruit and vegetable consumption:

Child’s consumption of fruit and vegetables (cups per day) by parent self‐report via mail or telephone survey using modified questions from the University of California Cooperative Extension Food and Behaviour Checklist.

Outcome relating to absolute costs/cost effectiveness of interventions:

Not reported

Outcome relating to reported adverse events:

Not reported

Length of follow‐up from baseline:

Unclear, ˜ 7 to 10 weeks

Length of follow‐up post‐intervention:

1 week

Subgroup analyses:

None

Loss to follow‐up:

Intervention = 20%

Control = 22%

Analysis:

Adjusted for clustering

Sample size calculations performed

Notes

First reported outcome (cups of vegetables child consumed at home a day) was extracted for inclusion in the meta‐analysis. We selected post‐intervention values over change from baseline estimates, and calculated effective sample size at follow‐up using an ICC of 0.014 to enable inclusion in meta‐analysis.

Sensitivity analysis ‐ primary outcome: Primary outcome not stated, power calculation conducted on fruit or vegetable intake

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Randomly allocated to experimental group but the random sequence generation procedure is not described

Allocation concealment (selection bias)

Unclear risk

There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Child’s fruit and vegetable intake (parent survey):

There is no blinding to group allocation of participants or personnel described and this is likely to influence performance

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Child’s fruit and vegetable intake (parent survey):

There is no blinding to group allocation of participants or personnel described and because this is a parent‐reported survey this is likely to influence detection bias

Incomplete outcome data (attrition bias)
All outcomes

High risk

902 (79%) out of 1143 parents completed the follow‐up. Given this was a short‐term follow‐up, the risk of attrition bias is high

Selective reporting (reporting bias)

Unclear risk

There is no study protocol therefore it is unclear if there was selective outcome reporting

Other bias

Unclear risk

At baseline, children in the intervention group were statistically significantly older than children in the control group, but unclear what impact this may have had.

“At baseline, children in the intervention group were statistically significantly older than children in the control group (difference=0.2 years; 95% CI 0.1 to 0.3). Otherwise, there were no statistically significant differences in the characteristics of respondents and their households or in outcome measures between the intervention and control groups at baseline”.

Analyses accounted for clustering

Witt 2012

Methods

Study design:

Cluster‐randomised controlled trial

Funding:

Not reported

Participants

Description:

Children aged 4 or 5 years at 17 childcare centres

N (Randomised):

17 childcare centres, 263 children

Age:

“The researchers were not permitted to obtain specific ages of each child but were informed by the centers’ directors that the majority of the children were 4 or 5 years old.”

% Female:

47%

SES and ethnicity:

Not specified

Inclusion/exclusion criteria:

Not specified

Recruitment:

Not specified

Recruitment rate:

Unknown

Region:

Boise Idaho (USA)

Interventions

Number of experimental conditions: 2

Number of participants (analysed):

Intervention: fruit = 83, vegetable = 70

Control: fruit = 70, vegetable = 52

Description of intervention:

“Color Me Healthy comes in a ‘‘toolkit’’ that includes a teacher’s guide, 4 sets of picture cards, classroom posters, a music CD that contains 7 original songs, a hand stamp, and reproducible parent newsletters. Color Me Healthy is composed of 12 circle‐time lessons and 6 imaginary trips. The majority of the CMH circle‐time lessons focus on fruits and vegetables of different colors. Several of the lessons provide opportunities for children to try fruits and vegetables. The 6 imaginary trips included in CMH encourage children to use their imagination to explore places, be physically active, and eat fruits and vegetables. Six interactive take home activities were developed for the current evaluation. These interactive activities coincided with the circle‐time lessons.”

Duration:

6 weeks

Number of contacts:

24 (preschool = 2 circle‐time + 1 imaginary trip per week, each 15 ‐ 30 minutes, home = 6 interactive take home activities)

Setting:

Preschool + home

Modality:

Face‐to‐face

Interventionist:

Lead teachers

Integrity:

No information provided

Date of study:

Unknown

Description of control:

No treatment control: “During the study, comparison classrooms did not incorporate nutrition curriculum into their lesson plans.”

Outcomes

Outcome relating to children's fruit and vegetable consumption:

Child’s consumption of fruit and vegetable snacks (grams). “To determine the amount of fruit and vegetable snack consumed, the fruit and vegetable snacks were weighed (in grams) before they were served to children and then weighed again after children had had an opportunity to consume the snack. Percentage of fruit and vegetable snack consumed was calculated for each child.”

Outcome relating to absolute costs/cost effectiveness of interventions:

Not reported

Outcome relating to reported adverse events:

Not reported

Length of follow‐up from baseline:

7 weeks (1 week post‐intervention) and ˜ 5 months (3 months post‐intervention)

Length of follow‐up post‐intervention:

1 week and 3 months

Subgroup analyses:

None

Loss to follow‐up (at 3 months):

Intervention: fruit = 50%, vegetable = 58%

Control: fruit = 29%, vegetable = 47%

Analysis:

Adjusted for clustering

Unknown sample size calculations performed

Notes

First reported outcome (mean number of pineapple snacks remaining) at the longest follow‐up (3 month follow‐up) was extracted for inclusion in meta‐analysis. Insufficient data available to enable inclusion in meta‐analysis (standard deviation not reported, nor available from authors)

Sensitivity analysis ‐ primary outcome: Primary outcome not stated, fruit or vegetable intake is only reported outcome.

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Randomly allocated to experimental group but the random sequence generation procedure is not described

Allocation concealment (selection bias)

Unclear risk

There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

Fruit and vegetable snacks (weighed):

Objective measure of child’s fruit and vegetable intake and unlikely to be influenced by performance bias

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Fruit and vegetable snacks (weighed):

Objective measure of child’s fruit and vegetable intake and unlikely to be influenced by detection bias

Incomplete outcome data (attrition bias)
All outcomes

High risk

Attrition rate > 20% for short‐term follow‐up. Only 58% of consenting children received fruit snacks at all 3 time points

Selective reporting (reporting bias)

Unclear risk

There is no study protocol therefore it is unclear if there was selective outcome reporting

Other bias

Unclear risk

Recruitment bias: it appears that parents were invited to participate after centres had been randomised, so unclear risk of bias

Baseline imbalance: there are no baseline data comparing study groups, so we cannot tell if groups were balanced at baseline, so unclear risk of bias

Incorrect analysis: “The current evaluation was a nested design; children were nested within classrooms. The classrooms were the units of assignment, but the outcome data were collected among the children.”

HLM modelling accounted for clustering, therefore low risk of bias

Wyse 2012

Methods

Study design:

Cluster‐randomised controlled trial

Funding:

"The trial is funded by the Cancer Institute New South Wales (Ref no. 08/ECF/1‐18)."

Participants

Description:

Children aged 3 to 5 years attending selected preschools, and their parent

N (Randomised):

30 preschools, 394 parent‐child dyads

Age:

Child (mean): Intervention = 4.3 years, Control = 4.3 years

Parent (mean): Intervention = 35.7 years, Control = 35.7 years

% Female:

Child: Intervention = 51%, Control = 46%

Parent: Intervention = 95%, Control = 97%

SES and ethnicity:

Household income AUD ≥ 100K: Intervention = 42%, Control = 40%

University education: Intervention = 45%, Control = 50%

Aboriginal and/or Torres Strait Islander: Child: Intervention = 1%, Control = 5%

Parent: Intervention = 1%, Control = 3%

Inclusion/exclusion criteria:

Preschool:

Inclusion criteria: licensed in NSW

Exclusion criteria: “Preschools will be excluded from the trial if they provide meals to children in their care (as this limits parents' capacity to influence the foods their children consume), cater exclusively for children with special needs (given the specialist care required for such children), are Government preschools (as conduct of the research has not been approved by the New South Wales Government Department of Education and Training) or have participated child healthy eating research projects within six months of the commencement of recruitment.”

Parent:

Inclusion criteria: “participant must be a parent of a child aged 3 to 5 years attending a participating preschool, must reside with that child for at least four days a week (in order for the child to be sufficiently exposed to the intervention strategies that the parent may implement), must have some responsibility for providing meals and snacks to that child, and must be able to understand spoken and written English.”

Exclusion criteria: “Parents will be excluded from the trial if their children have special dietary requirements or allergies that would necessitate specialised tailoring of the intervention or that may be adversely affected by the intervention. Such exclusions will be determined by an Accredited Practising Dietitian who is independent of the research team.”

Recruitment:

Preschools randomly selected

“The supervisors of the selected preschools will be sent letters and consent forms informing them of the study and requesting permission to recruit parents through their services.”

Recruitment packs will be delivered to each participating preschool

Distribution of these packs to parents will occur via methods considered by the preschool supervisor to be most effective and appropriate in engaging parents

Where possible, research staff will attend the preschool, hand out recruitment packs to parents and be available to answer parent questions

Recruitment rate:

Preschool = 51% (30/59)

Region:

New South Wales (Australia)

Interventions

Number of experimental conditions: 2

Number of participants (analysed):

Intervention = 174, Control = 169

Description of intervention:

The intervention group will receive a resource kit and weekly scripted telephone contacts.

“The kit comprises a participant workbook containing information and activities, a pad of meal planners, and a cookbook including recipes high in fruit and vegetables.”

“Each telephone contact aims to provide parents with appropriate knowledge and skills to modify three key domains within the home food environment: availability and accessibility of fruit and vegetables; supportive family eating routines, and parental role‐modelling.”

Duration:

4 weeks

Number of contacts:

4 (one a week)

Setting:

Home

Modality:

Telephone and mailed resources

Interventionist:

Trained telephone interviewers

Integrity:

“During each four‐week batch of telephone calls, members of the research team will monitor at least two completed calls made by each interviewer to assess adherence with the intervention protocol.”

“In total, 44 intervention calls were monitored, representing 6% of all completed calls and an average of 9 calls per interventionist. Across all monitored calls, interventionists covered 97% of key content areas, and in .80% of calls they “rarely” deviated from the script. In instances in which calls deviated from the script, interventionists were provided with feedback immediately after the call, and the issue was raised during biweekly supervision.”

Date of study:

April to December 2010

Description of control:

“Parents allocated to the control group were mailed the Australian Guide to Healthy Eating—a 22‐page booklet outlining the dietary guidelines and ways to meet them.”

Outcomes

Outcome relating to children's fruit and vegetable consumption:

Child’s consumption of fruit and vegetables assessed by parent self‐report by telephone survey using items from the Children’s Dietary Questionnaire.

Outcome relating to absolute costs/cost effectiveness of interventions:

Not reported

Outcome relating to reported adverse events:

Effect of intervention on family food expenditure

Length of follow‐up from baseline:

2 and 6 months

Length of follow‐up post‐intervention:

1 and 5 months

Subgroup analyses:

None

Loss to follow‐up (at 1 and 5 months):

Intervention = 14%, 16%

Control = 4%, 9%

Analysis:

Adjusted for clustering

Sample size calculations performed

Notes

The fruit and vegetable score outcome at the longest follow‐up < 12 months (6 months) was extracted for inclusion in meta‐analysis. The reported estimate and 95% CI which adjusted for baseline and clustering were included in meta‐analysis

Sensitivity analysis ‐ primary outcome: Fruit or vegetable intake listed as primary outcome.

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

The random sequence was generated using a random‐number function in Microsoft Excel

Allocation concealment (selection bias)

Unclear risk

There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Fruit and vegetable intake (self‐reported):

Participants were unblinded and this is likely to influence performance

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Fruit and vegetable intake (self‐reported):

Participants were unblinded and because self‐reported measure this is likely to influence detection bias

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Of 394 parents, 343 (87%) completed the 6‐month follow‐up. Sensitivity analyses were also conducted where missing follow‐up data were imputed by using baseline observation carried forward

Selective reporting (reporting bias)

Low risk

The primary outcomes reported in the outcomes paper align with those specified in the protocol. The 12‐ and 18‐month fruit and vegetable outcomes are reported in Wolfenden 2014

Other bias

Low risk

Contamination, baseline imbalance, & other bias that could threaten the internal validity are unlikely to be an issue. Analyses adjusted for clustering

Zeinstra 2018

Methods

Study design:

Cluster‐randomised controlled trial

Funding:

“This project received financial support from the Fresh Produce Centre and the Ministry of Economic Affairs (grant number TU 1310‐086). Neither organization had any role in the design, analyses, or writing of this article.”

Participants

Description:

Infants aged 0‐4 years in 4 childcare centres in Utrecht, Netherlands

N (Randomised):

4 childcare centres

Age:

Mean: intervention = 25.6 months, control = 25.0 months

% Female:

Intervention = 44%, control = 42%

SES and ethnicity:

Parent education level* ‐ intervention: low (0%), middle (5%), high (95%), control: low (0%), middle (10%), high (90%)

*low = primary and/or secondary school, middle = vocational education, high = higher vocational education and/or university degree

Inclusion/exclusion criteria:

“Healthy children without any allergies to the study products could participate.”

Recruitment:

Recruited via 4 childcare centres in Utrecht, Netherlands “Information packs were distributed to 526 parents to inform them about the study aims and procedures.”

Recruitment rate:

Unknown

Region:

The Netherlands

Interventions

Number of experimental conditions: 2

Number of participants (analysed):

Intervention (2 centres): 101 children

Control (2 centres): 91 children

Description of intervention:

“To prevent boredom and encourage tasting, each vegetable was presented in two different preparations: pumpkin blanched and as a cracker spread; courgette blanched and as soup; white radish raw and as a cracker spread.”

“The study vegetables were offered during the habitual vegetable snack moment in the afternoon, between 15h00 and16h00.”

“A vegetable song ‐ developed specifically for this study was played to make the vegetable eating occasion recognizable and fun for the children.”

Duration:

21 weeks

Number of contacts:

Unclear, 21 weeks “was chosen to ensure that each child was exposed to each vegetable at least 10 times”

Setting:

Preschool

Modality:

Face‐to‐face

Interventionist:

Childcare employees

Integrity:

“Intervention children received on average six exposures to each vegetable product”

Date of study:

Unknown

Description of control:

“The control group kept their regular eating routines during this period.”

Outcomes

Outcome relating to children's fruit and vegetable consumption:

Consumption of vegetables (grams) as desired, assessed by weighing the vegetable cups before and after consumption. “Vegetable intake was calculated by subtracting the leftovers from the pre‐weight.”

Outcome relating to absolute costs/cost‐effectiveness of interventions:

Not reported

Outcome relating to reported adverse events:

Not reported

Length of follow‐up from baseline:

21 weeks

Length of follow‐up post‐intervention:

4 weeks

Subgroup analyses:

None

Loss to follow‐up:

Unclear

Analysis:

Unclear if adjusted for clustering

Sample size calculations performed

Notes

We extracted first reported outcome (mean g of pumpkin intake) for inclusion in meta‐analysis.

We estimated mean and SD from a study figure using an online resource (Plot Digitizer: plotdigitizer.sourceforge.net) for intervention and control groups at post‐test.

As an estimate at that adjusted for clustering was not reported, we used post‐intervention data and calculated an effective sample size using ICC of 0.014 to enable inclusion in meta‐analysis.

Sensitivity analysis ‐ primary outcome: primary outcome not stated, sample size was based on vegetable intake outcome.

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

“Two childcare centres were randomly assigned to the intervention condition”

Randomly allocated to experimental group but the random sequence generation procedure is not described.

Allocation concealment (selection bias)

Unclear risk

There is no information provided about allocation concealment and therefore it is unclear if allocation was concealed.

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

Parents and child care staff were blinded to the aims of the study.

The likelihood of performance bias in relation to vegetable consumption is low, given the children’s age.

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Research assistants present to observe process of weighing food and eating – however this seems unlikely to impact child consumption.

Vegetable cups were weighed before and after consumption and therefore low risk of detection bias.

Incomplete outcome data (attrition bias)
All outcomes

High risk

Attrition rate > 20% (see Table 3)

Selective reporting (reporting bias)

Unclear risk

Trial protocol is not available

Other bias

Unclear risk

There may be potential recruitment bias as intervention and control parents were told different aims of the study (pg 318), which meant that researchers were aware of study group allocation before recruiting parents to study.

Also unclear if clustering was accounted for during the analysis

BMI: body mass index
EA: exposure alone
EP: exposure plus praise
ETR: exposure plus tangible non‐food reward
DOB: date of birth
FV: fruit and vegetables
ICC: intra‐class correlation
N/A: not applicable
PA: physical activity
SD: standard deviation
SEM: standard error of the mean

Characteristics of excluded studies [ordered by study ID]

Study

Reason for exclusion

Aboud 2008

This responsive feeding trial was ineligible as its primary outcome was not to increase fruit and vegetable consumption and the study only assessed children's fruit and vegetable consumption post‐hoc in order to describe the mechanism behind a change in weight status among participants in the sample

Adams 2011

No fruit or vegetable intake outcome

Adams 2015

Not RCT: editorial

Agrawal 2012

No fruit or vegetable intake outcome

Ahearn 2001

Not RCT

Ahern 2014

Not RCT

Ajie 2016

Study design: not RCT

Al Bashabsheh 2016

No fruit or vegetable intake outcome

Alford 1971

Children aged 6‐17 years

Amin 2016

Participants were Grade 3‐5 children

Anderson 2014

Mean age of children 5.3 years

Anez 2013

Participant mean age 5.01 years

Ang 2016

Participants were 2nd and 3rd grade children

Anliker 1993

Children aged 14‐17 years

Anonymous 2001

Not RCT: Editorial

Anonymous 2002

Not RCT: editorial

Anonymous 2009

Not RCT: editorial

Anonymous 2011a

Not RCT: editorial

Anonymous 2011b

Children aged 5‐9 years

Anonymous 2012

Participants were 4th grade children

Apatu 2016

Participants were adult, no participants aged 0‐5 years

Aranceta‐Bartrina 2016

Not RCT

Arrow 2013

Primary outcome was not fruit or vegetable intake; primary outcome was dental caries incidence and prevalence of obesity

Au 2015a

No fruit or vegetable intake outcome, only assessed intake of fruit juice

Au 2015b

No fruit or vegetable intake outcome

Au 2016

Mean age of participants was 9.8 years

Bai 2012

Participants were elementary school children

Bannon 2006

Outcome is food choice (apple or crackers)

Bante 2008

Not RCT

Baranowski 2002

Children aged 9‐18 years

Barkin 2012

Primary outcome was not fruit or vegetable intake; primary outcome was weight and BMI

Baxter 1998

Not RCT: Editorial

Bayer 2009

Child mean age 6 years

Beasley 2012

Children aged 8‐12 years

Beets 2016

Participants were aged 6‐12 years

Bellows 2013

Intervention was not designed to increase fruit and/or vegetable consumption, intervention aimed to explore individual, family and environmental factors and their relationship to child weight status

Benjamin 2008

Outcome is quality of meals

Benjamin Neelon 2016

No fruit or vegetable intake outcome, only amount served

Bensley 2011

Quasi‐experiemental design

Bere 2015

Participants were 6th and 7th grade children

Berg 2016

Not RCT: book review

Bergman 2016

Participants were 3rd, 4th and 5th grade children

Berhe 1997

No comparison group

Berry 2013

No fruit or vegetable intake outcome

Bessems 2012

Children aged 12‐14 years

Best 2016

Children aged 7‐12 years

Bibiloni 2017

Study design: allocation to conditions not random

Birch 1980

Not randomised

Birch 1982

No control group

Birch 1998

Not RCT

Black 2013

Child mean age of subgroups ranged from 5.8‐11 years

Blissett 2012

No comparison group

Blom‐Hoffman 2008

Child mean age 6.2 years

Boaz 1998

Children aged 7‐9 years

Bollella 1999

Outcome is vitamins and minerals, not fruit and vegetable consumption

Bonvecchio‐Arenas 2010

Participants were primary school children

Borys 2016

Participants were aged 6‐8 years

Bouhlal 2014

Allocation of groups to condition was not randomised

Bradley 2014

No fruit or vegetable intake outcome, outcome is preference

Brambilla 2010

No fruit and vegetable consumption outcome

Branscum 2013

Children aged 8‐11 years

Briefel 2006

No comparison group

Briefel 2009

Children aged 6‐18 years

Briefel 2010

No comparison group

Briley 1999

No comparison group

Briley 2011

Not RCT: Editorial

Briley 2016

Primary outcome was not fruit or vegetable intake; primary outcome was observed servings in packed lunch

Britt‐Rankin 2016

Not RCT ‐ review of resource

Brotman 2012

No fruit and vegetable consumption outcome

Bruening 1999

Non‐equivalent control group design

Brunt 2012

Participants were 4th grade school children

Bryant 2017

Primary outcome not F&V consumption, primary outcomes was parent engagement

Burgermaster 2017

Participants were 5th grade students

Burgi 2011

Child mean age 5.2 years

Buttriss 2004

Not RCT: descriptive review

Byrd‐Bredbenner 2012

Primary outcome was not fruit or vegetable intake; primary outcome was BMI and audits of home environment characteristics/lifestyle practice

Byrne 2002

Outcome was willingness to taste kohlrabi

Camelo 2016

Participants were children aged 6‐13 years

Campbell 2016a

Primary outcome was not fruit or vegetable intake; primary outcome was body weight and waist circumference

Campbell 2016b

Primary outcomes were length for age score and rates of stunting

Campbell 2017

No fruit and vegetable consumption outcome reported

Candido 2013

No fruit or vegetable intake outcome

Capaldi‐Phillips 2014

Allocation of groups to condition was not randomised

Carney 2017

Not RCT

Carter 2005

Children aged 9‐12 years

Cason 2001

No comparison group

Castro 2013

Child mean age 6 years

Cates 2014

Not RCT

Caton 2014

Study design: results are not reported by study group. Additionally the paper reports data from 3 other included studies: Caton 2013; Hausner 2012; Remy 2013

Chatham 2016

Participants mean age 6.15 years

Chen 2015

Participants were aged 5‐8 years old

Ciampolini 1991

No comparison group

Clason 2016

No fruit or vegetable intake outcome, only number of days per week child consumes

Coelho 2012

Children aged 8‐12 years

Cohen 2014

Child mean age 8.6 years

Coleman 2005

No fruit and vegetable outcomes

Collins 2011

Child mean age 8 years

Condrasky 2006

Quasi‐experimental: intervention sample randomly selected from 1 church. Control randomly selected from a separate church

Cooper 2011

Children aged 5‐11 years

Cooperberg 2014

No fruit or vegetable intake outcome

Copeland 2010

Child mean age 9 years

Coppinger 2016

Children aged 5‐11 years

Corsini 2013

Participants were children with mean age 5.16 years

Cotwright 2015

No comparison group

Cotwright 2017

No comparison group ‐ pretest‐post‐test design

Coulthard 2018

No fruit and vegetable consumption outcome

Court 1977

No participants, these are guidelines, not research trial

Crespo 2012

Child mean age 5.9 years

Croker 2012

Child mean age 8.3 years

Cruz 2014

As per trial registry, fruit and vegetable consumption was not the primary outcome

Cullen 2013

Participants were kindergarten‐grade 5 and grade 6‐8 children

Cullen 2015

Participants were kindergarten‐grade 5

Curtis 2012

No child fruit or vegetable intake outcome

Céspedes 2012

Primary outcome was not fruit or vegetable intake; primary outcome was knowledge, attitudes and physical activity habits

Dai 2015

Child mean age 6 years

Dalton 2011

No child fruit or vegetable intake outcome

Daniels 2012

Related to Daniels 2014 ‐ No fruit and vegetable consumption outcome

Dannefer 2017

Not RCT

Davis 2013

Primary outcome was not fruit or vegetable intake as per trial registry

Davoli 2013

Primary outcome was not fruit or vegetable intake; primary outcome was BMI

Day 2008

Child mean age 9‐10 years

Dazeley 2015

No fruit or vegetable intake outcome, only assessed foods touched and tasted

De Bourdeaudhuij 2015

Child mean age in intervention group 6.05 year and in control group 5.98 years

De Droog 2011

No fruit or vegetable intake outcome, only assessed liking and purchase request intent

De Droog 2012

No fruit and vegetable consumption outcome

De Pee 1998

No comparison group

De Silva‐Sanigorski 2010

Quasi‐experimental, repeat cross‐sectional design

Delgado 2014

Intervention was not designed to increase fruit and/or vegetable consumption

Dick 2016

Not RCT: Editorial

Dollahite 2014

No child fruit or vegetable intake outcome

Dorado 2015

Children aged 9‐10 years

Draper 2010

Participants were 4, 5 and 6 grade children

Duke 2011

Not RCT: descriptive review

Duncanson 2017

Related to Duncanson 2013 ‐ does not report RCT results

Dunn 2004

No fruit and vegetable consumption outcome

Eicholzer‐Helbling 1986

Outcome no consumption measure

Elder 2014

Child mean age 6.6 years

Elizondo‐Montemayor 2014

Children aged 6‐12 years

Epstein 2001

Children aged 6‐11 years

Esfarjani 2013

Children aged 7 years

Esquivel 2016

Not RCT

Estabrooks 2009

Children aged 8‐12 years

Evans 2006

Children in 4th, 5th grade school

Evans 2011

No child fruit or vegetable intake outcome

Evans 2016

Participants were 3rd grade children

Evenson 2016

No fruit and vegetable consumption outcome

Faber 2002

Cross‐sectional survey

Faith 2006

The intervention programme was not specifically designed to increase consumption of fruit and vegetables; instead primary aim is to illustrate a methodological concept. “This methodological note illustrates the use of co‐twin design for testing substitution, phenomenon, a prominent behavioural economics concept. We test whether fruits and vegetables can substitute for high‐fat snack foods in young children in a single meal laboratory setting.”

Fangupo 2015

Primary outcome as reported in trial registry was not fruit or vegetable intake

Fernandes 2011

Not RCT: measurement tool

Fernández‐Alvira 2013

Child mean age 11 years

Fialkowski 2013

Intervention was not designed to increase fruit and/or vegetable consumption

Fisher 2007

No fruit and vegetable consumption outcome

Fisher 2013

No fruit and vegetable consumption outcome

Fisher 2014

No child fruit or vegetable intake outcome

Fishman 2016

Not RCT: Editorial

Fitzgibbon 2002

Outcome is weight change

Fitzpatrick 1997

Not RCT

Fletcher 2009

Children aged 13‐19 years

Foerster 1998

Children in 4th, 5th grade school

Folta 2006

Children in grades 1‐3 school

Fournet 2014

Children aged 6‐13 years

Freedman 2010

Outcome is child feeding attitudes and practices

French 2012

Intervention was not designed to increase fruit and/or vegetable consumption

Frenn 2013

Participants were 5th, 7th and 8th grade students

Friedl 2014

Not RCT: task force report

Friend 2015a

Participants were parents of 8‐12 year‐old children

Friend 2015b

No fruit and vegetable consumption outcome reported

Gaglianone 2006

Participants were 1st and 2nd grade children

Gallo 2017

Participants were aged 6‐11 years

Gallotta 2016

Children aged 8‐11 years

Garcia‐Lascurain 2006

Participants were aged 9‐12 years

Gardiner 2017

Participants were at least 18 years of age

Gaughan 2016

No comparison group

Gelli 2016

Child mean age 7.5 years

Gentile 2009

Children in 3rd, 4th, 5th grade school

Gittelsohn 2010

Children aged 8‐12 years

Glanz 2012

No child fruit or vegetable intake outcome

Glasper 2011

Not RCT: Editorial

Glasson 2012

Participants were parents of primary school‐aged children

Glasson 2013

Not RCT

Golley 2012

Child mean age 8.3 years

Gordon 2016

Fruit and vegetable intake not primary outcome as per contact with author very low food security is primary outcome

Gorham 2015

No comparison group

Gosliner 2010

Quasi‐experimental: childcare centres in existing study matched to other childcare centres, then randomised

Goto 2012

No child fruit or vegetable intake outcome

Gottesman 2003

No participants, not research trial

Graham 2008

Outcome not fruit and vegetable consumption

Gratton 2007

Children aged 11‐16 years

Gregori 2014

No comparison group

Gripshover 2013

Intervention was not designed to increase fruit and/or vegetable consumption

Gross 2012

Primary outcome was not fruit or vegetable intake; primary outcome was obesity

Guenther 2014

No participants aged 0‐5 years

Guldan 2000

Not RCT

Guo 2015

Participants were 3rd to 5th grade students

Haines 2016

No child fruit or vegetable intake outcome

Hambleton 2004

Children aged 9‐10 years

Hammersley 2017

Primary outcome not fruit and vegetable intake, primary outcome is BMI

Hammons 2013

Children aged 5‐13 years

Hancocks 2011

Not RCT: Editorial

Hanks 2016

No fruit and vegetable consumption outcome

Hansen 2016

Participants were children aged 6‐14 years

Hanson 2017

Not a randomised study design

Hardy 2010a

No fruit or vegetable intake outcome, only assessed lunchbox contents

Hardy 2010b

No child fruit or vegetable intake outcome

Hare 2012

Child mean age 6.3 years

Haroun 2011

Participants were primary school children ‐ aged 4‐12 years old

Harris 2011

Children aged 5‐12 years

Hart 2016

No child fruit or vegetable intake outcome

Harvey‐Berino 2003

No fruit and vegetable consumption outcome

Havas 1997

No assessments of children included in study

Havermans 2007

Participants had mean age of 5.2 years

Heath 2010

No fruit and vegetable consumption outcome

Heim 2009

Children in 4th and 6th grade school

Helland 2013

Primary outcome was not fruit or vegetable intake; primary outcome was food neophobia and staff feeding practices

Helland 2016

Primary outcome was not fruit or vegetable intake; primary outcome was food neophobia and staff feeding practices

Helland 2017

No comparison group

Hendy 2002

No comparison group

Hendy 2011

Participants were 1st, 2nd and 4th grade children

Herbold 2001

Participants were 1st and 6th grade children

Herring 2016

Not RCT: Editorial

Hildebrand 2010

No comparison group

Hoddinott 2017

Primary outcome not fruit and vegetable intake as per trial registry

Hoffman 2011

Child mean age 6.2 years

Hoffman 2015

Participants were 6th‐12th grade children

Hohman 2017

F&V intake not primary outcome as per trial registry BMI is primary outcome

Hollar 2013

Participants were Kindergarten‐5th Grade children

Holley 2015

Not RCT ‐ allocation was not randomised

Hooft 2013

No child fruit or vegetable intake outcome

Horne 2009

Child mean age 7 years

Horodynski 2004

Non‐equivalent control group study design

Hotz 2012a

Intervention was not designed to increase fruit and/or vegetable consumption, intervention aimed to increase the consumption of orange sweet potato over consumption of white and yellow sweet potato

Hotz 2012b

Intervention was not designed to increase fruit and/or vegetable consumption, intervention aimed to increase the consumption of orange sweet potato over consumption of white and yellow sweet potato

Howarth 2011

No comparison group

Hu 2010

Outcome is eating behaviours and weight, not fruit and vegetables

Hughes 2007

Outcome is feeding styles and behaviour

Hughes 2016

No fruit and vegetable consumption outcome

Iaia 2017

Fruit and vegetable intake not primary outcome, primary outcome combined health behaviour score

IFIC 2002

Children aged 9‐12 years

Israelashvili 2005

No fruit and vegetable consumption outcome

Issanchou 2017

Not RCT

Izumi 2013

No child fruit or vegetable intake outcome

James 1992

No comparison group

Jancey 2014

No child fruit or vegetable intake outcome

Janicke 2013

Primary outcome was not fruit or vegetable intake; primary outcome was BMI

Jansen 2010

Participants were children with mean age 5.8 years

Jansen 2017

Fruit and vegetable intake not primary outcome

Jayne 2009

Outcome is food choice

Johnson 1993

This study was excluded as fruit and vegetable consumption was measured in terms of dietitian‐classified 'appropriate' versus 'inappropriate' consumption levels, and as such, it failed to meet the inclusion criteria relating to the primary outcome

Johnson 2007

Outcome is food preference and ranking

Jordan 2010

No child fruit or vegetable intake outcome

Joseph 2015a

No child fruit or vegetable intake outcome

Joseph 2015b

No comparison group

Just 2013

Participants were elementary school children

Kabahenda 2011

No child fruit or vegetable intake outcome

Kain 2012

Participants aged 6‐12 years

Kalb 2005

No participants, not research trial

Kang 2017

Fruit and vegetable intake not primary outcome

Kannan 2016

Not RCT

Karanja 2012

Primary outcome was not fruit or vegetable intake; primary outcome was BMI

Kashani 1991

Child mean age 10 years

Kaufman‐Shriqui 2016

Participants mean age 5.28 years

Kelder 1995

Children in 6th grade school

Keller 2014

Not RCT: Editorial

Kennedy 2011

Participants were adults

Kessler 2016

Not RCT: review

Khoshnevisan 2004

Dietary outcomes are not reported for the control group and no comparison is made between experimental conditions

Kidala 2000

Quasi‐experimental: 2 areas, 1 intervention, 1 control, not randomly selected

Kilaru 2005

Outcome is proportion being fed bananas

Kilicarslan 2010

Child mean age 9.3 years

Kimani‐Murage 2013

Primary outcome was exclusive breastfeeding

Kipping 2014

Participants aged 8‐9 years

Kipping 2016

Primary outcome was not fruit or vegetable intake

Knoblock‐Hahn 2016

No fruit and vegetable consumption outcome

Knowlden 2015

Child mean age 5.18 years

Ko Linda 2016

No participants aged < 5

Koehler 2007

No fruit and vegetable consumption outcome

Koff 2011

No comparison group

Kolodinsky 2017

No outcome data reported ‐ related to ongoing study Seguin 2017

Korwanich 2008

Quasi‐experimental: 8 intervention schools; 8 matched control schools

Kotler 2012

No fruit or vegetable intake outcome, only number of pieces of food consumed

Kotz 2010

Not RCT: Editorial

Kral 2010

Participants were children with mean age 5.9 years

Lanigan 2010

Not RCT: review

Laramy 2017

No comparison group

LaRowe 2010

No comparison group

Larson 2011

No child fruit or vegetable intake outcome

Laureati 2014

Child mean age 7.9 years

Leahy 2008a

No fruit and vegetable outcome

Leahy 2008b

No fruit and vegetable consumption outcome

Leahy 2008c

Fruit and vegetable consumption was secondary outcome

Ledoux 2017

No comparison group ‐ pretest‐posttest design

Leme 2015

Participants were adolescents

Lin 2017

No fruit and vegetable outcome

Ling 2016a

No child fruit or vegetable intake outcome

Ling 2016b

Not RCT

Lioret 2012

No fruit and vegetable consumption outcome

Lioret 2015

Not RCT

Llargues 2011

Child mean age 6 years

Lloyd 2011

Participants were fathers of children aged 5‐12 years

Locard 1987

No comparison group

Lohse 2017

Not RCT ‐ Editorial

Longacre 2015

No child fruit or vegetable intake outcome

Longley 2013

Not RCT: Editorial

Low 2007

Quasi‐experimental, 2 intervention areas, and 1 control area selected, in prospective longitudinal study

Luepker 1996

Child mean age 8.8 years

Lumeng 2012

Intervention was not designed to increase fruit and/or vegetable consumption, intervention aimed to improve children's emotional and behavioural self regulation on preventing obesity

Maier 2007

Not RCT ‐ treatment group not randomised

Maier 2008

Not RCT

Maier‐Noth 2016

Not RCT

Maier‐Noth 2017

Not RCT

Malekafzali 2000

No fruit and vegetable consumption data

Mallan 2017

Related to Daniels 2014 ‐ only reports data from the control group

Manger 2012

Child mean age 5.7 years

Manios 1999

Not RCT

Manios 2009

No comparison group

Mann 2015

No outcome data ‐ related to ongoing study Østbye 2015

Mann 2017

Not RCT ‐ resource review

Markert 2014

Child mean age 9 years

Marquard 2011

No child fruit or vegetable intake outcome

Martens 2008

Children aged 12‐14 years

Mathias 2012

Participants were children with mean age 5.4 years

Mbogori 2016

No comparison group

McGowan 2013

Primary outcome was not fruit or vegetable intake; primary outcome was parental habit strength

McKenzie 1996

Child mean age 6.3‐6.8 years

McSweeney 2017

F&V not primary outcome, primary outcomes were related to feasibility

Mehta 2014

No comparison group

Meinen 2012

Child mean age 9.9 years

Mennella 2017a

No fruit and vegetable consumption outcome

Metcalfe 2016

Participants were children aged 8‐13 years

Metcalfe 2017

Participants aged 8‐14 years

Mok 2017

Fruit and vegetable not primary outcome, primary outcome Vitamin D plasma concentrations

Molitor 2016

No comparison group ‐ cross‐sectional study

Monterrosa 2013

Not RCT ‐ quasi‐experimental

Morgan 2016

Not RCT

Morgan 2017

Participants were aged 5‐12 years old

Morrill 2016

Participants were Grade 1‐5 students

Murimi 2017

No fruit and vegetable outcome

Nabors 2015

Participants mean age 6.12 years

Nansel 2016

Participants aged 8.0‐16.9 years

NAPNAP 2006

Guidelines not trial, so no participants

Natale 2014

Primary outcome was not fruit or vegetable intake as per trial registry

Nederkoorn 2018

Mean age of participants 5.85 years

Nemet 2007

Child mean age 5.5 years

Nemet 2008

Children aged 8‐11 years

Nemet 2011

No fruit and vegetable consumption outcome

Nerud 2017

No fruit and vegetable intake outcome

Nicklas 2011

Not fruit and vegetable intake outcome reported, only preference.

Noller 2006

No child fruit or vegetable intake outcome

Novotny 2011

Not RCT

Nunes 2017

Primary outcome is frequency of exclusive and total breastfeeding as per trial registry

Nystrom 2017

Fruit and vegetable not primary outcome, primary outcome was BMI

O'Connor 2010

No comparison group

O'Sullivan 2017

Fruit and vegetable not primary outcome ‐ primary outcomes relate‐school readiness, physical health etc

Ogle 2016

Participants aged 6‐9 years

Olvera 2010

Children aged 7‐13 years

Onnerfält 2012

Primary outcome was not fruit or vegetable intake; primary outcome was BMI

Paineau 2010

Participants were children in 2nd and 3rd grade

Panunzio 2007

Children in 4th grade school

Parcel 1989

Children in 3rd, 4th grade school

Passehl 2004

Outcome is process evaluation

Peracchio 2016

No fruit and vegetable consumption outcome

Perry 1985

Children in 3rd, 4th grade school

Persson 2018

Primary outcomes are children's body mass index and waist circumference at four years

Peters 2012a

No child fruit or vegetable intake outcome

Poelman 2016a

The average age was 5.1 years (SD 0.8, range 4‐6.8 years)

Poelman 2016b

The average age was 5.1 years (SD 0.8, range 4‐6.8 years)

Polacsek 2017

No fruit and vegetable consumption outcome

Prelip 2011

Participants were 3rd‐5th grade children

Presti 2015

Participants aged 5‐11 years

Prosper 2009

Child mean age 11.7 years

Puia 2017

Participants aged 5‐15 years

Quandt 2013

No child fruit or vegetable intake outcome

Quizan‐Plata 2012

Participants were primary school children

Rackliffe 2016

Not RCT ‐ resource review

Rahman 1994

Outcome asks if vegetables eaten today (Yes/No). No amount provided

Ransley 2007

Non‐RCT. 1 intervention sample and 1 matched control sample

Raynor 2012

Child mean age 6.7 years

Reicks 2012

Children aged 9‐12 years

Reifsnider 2012

No child fruit or vegetable intake outcome

Reinaerts 2007

Quasi‐experimental: consenting schools paired then randomised to 1 of 2 interventions. Control schools in different area identified and then matched

Reinbott 2016

Primary aim (as per trial registry) is mean height for age z‐scores

Reinehr 2011

Primary outcome was not fruit or vegetable intake, primary outcome was weight

Reverdy 2008

Children aged 8‐10 years

Reynolds 1998

Participants were 4th grade children

Reznar 2013

No fruit or vegetable intake outcome, only assessed diet quality

Ribeiro 2014

Children aged 6‐11 years

Rioux 2018

No fruit and vegetable intake outcome

Ritchie 2010

Children aged 9‐10 years

Rito 2013

Child mean age 8.6 years

Robertson 2013

Primary outcome was not fruit or vegetable intake; primary outcome was waist circumference and self‐esteem

Roche 2016

Not RCT ‐ quasi‐experimental non‐randomized study

Rogers 2013

Child mean age 11 years

Rohde 2017

As per trial registry, fruit and vegetable not primary outcome, anthropometry is primary outcome

Rohlfs 2013

Not RCT

Romo‐Palafox 2017

No comparison group

Rubenstein 2010

No fruit or vegetable intake outcome, only assessed child‐feeding practices

Ruottinen 2008

The intervention programme was not specifically designed to increase consumption of fruit and vegetables.

The aim of intervention, as reported in a separate paper (Lapinleimu 1995) isto investigate the effects of an individually supervised, eucaloric, diet with low content of fat, saturated fat and cholesterol in healthy children”

Salminen 2005

Children aged 6‐17 years

Sanders 2014

Primary outcome was not fruit or vegetable intake; primary outcome was BMI

Sanigorski 2008

Child mean age 8 years

Sanjur 1990

No fruit and vegetable outcome

Sanna 2011

Intervention was not designed to increase fruit and/or vegetable consumption, intervention focused on dietary fat quality

Savage 2010

Comparison between treatment groups not reported for fruit and vegetable consumption

Scherr 2017

Participants were 4th grade students

Schmied 2015

Participants were parents of children with mean age of 10 years

Schumacher 2015

Child participants had median age of 12.9 years

Schwartz 2007a

Study design used convenience sample

Schwartz 2007b

Quasi‐experimental ‐ 2 elementary schools randomly allocated to 1 intervention and 1 control

Schwartz 2015

Not RCT

Sharafi 2016

Intervention did not aim to increase consumption of fruit or vegetables

Sharma 2016

Participants were 1st grade children

Sharps 2016

Participants were children aged 6‐11 years

Sherwood 2013

Primary outcome was not fruit or vegetable intake; primary outcome was BMI

Shilts 2014

Not RCT as confirmed by author

Shim 2011

No child fruit or vegetable intake outcome

Shin 2014

Participants were 4th‐6th grade children

Siega‐Riz 2004

No comparison group

Singh 2018

Not RCT

Skouteris 2014

No child fruit or vegetable intake outcome

Slusser 2012

Primary outcome was not fruit or vegetable intake; primary outcome was BMI

Smith 2013

No fruit and vegetable intake outcome

Smith 2015

No comparison group

Sobko 2011

Primary outcome was not fruit or vegetable intake; primary outcome was BMI

Sobko 2017

Not RCT

Sojkowski 2012

No comparison group

Solomons 1999

Review, not trial, no participants

Song 2016

Participants were 4th and 5th grade students

Sotos‐Prieto 2013

Primary outcome was not fruit or vegetable intake; primary outcome was change in overall knowledge, attitudes and habits

Speirs 2013

Participants were parents of elementary school children

Stark 1986

No fruit and vegetable consumption outcome

Stark 2011

Primary outcome was not fruit or vegetable intake; primary outcome was BMI

Steenbock 2017

Not RCT ‐ allocation not randomised

Stern 2018

Participants were parents of children aged 5‐13 years

Story 2012

Participants mean age 5.84 years

Suarez‐Balcazar 2014

Participants were Kindergarten and 1st grade children

Sun 2017

No fruit and vegetable intake outcome

Sweitzer 2010

Primary outcome was not fruit or vegetable intake; primary outcome was observed servings in packed lunch

Tande 2013

No comparison group

Taylor 2007

Child mean age 7.7 years

Taylor 2010

Primary outcome was not fruit or vegetable intake; primary outcome was BMI

Taylor 2013a

Participants were primary school‐aged children 4‐11 years old

Taylor 2013b

No child fruit or vegetable intake outcome

Taylor 2013c

Primary outcome, as per trial registry, was not fruit or vegetable intake

Taylor 2015a

Not RCT: review

Taylor 2015b

Participants' mean age 6.5 years

Taylor 2016

Fruit and vegetable intake not primary outcome, primary outcome was anthropometric measures as per trial registry

Te Velde 2008

Children aged 10‐13 years

Tharrey 2017

Primary outcome was not fruit and vegetable intake

Thomson 2014

Fruit and vegetable intake not primary outcome, primary outcome was weight‐for‐length

Timms 2011

Not RCT: Editorial

Tobey 2016

Not RCT ‐ allocation not random

Tomayko 2016

Fruit and vegetable intake not primary outcome, primary outcome was BMI

Tomayko 2017

Not RCT ‐ allocation not random

Tovar 2017

Not RCT ‐ uses baseline data from an ongoing study ‐ Østbye 2015

Tran 2017

Not RCT

Trees 2012

No comparison group ‐ cross‐sectional survey

Tucker 2011

Participants were 4th and 5th grade school children

Tyler 2016

Participants were aged 8‐12 years

Uicab‐Pool 2009

Outcome was eating habits

Upton 2013

Participants were primary school children aged 4‐11 years

Upton 2014

Not RCT

Urrutia 2017

Not RCT

Utter 2017

Not a RCT

Van Horn 2005

Children aged 8‐10 years

Van Horn 2011

Not RCT: Editorial

Van Nassau 2015

Not RCT: commentary

Vandeweghe 2016

No fruit and vegetable intake outcome

Vaughn 2017

No fruit and vegetable outcome

Vecchiarelli 2005

Children school‐aged

Veldhuis 2009

Outcome was weight, not fruit and vegetable consumption

Viggiano 2012

Children aged 9‐19 years

Vio 2014

Not RCT

Vitolo 2010

Primary outcome was not fruit or vegetable intake; primary outcome was Healthy Eating Index

Vitolo 2014

Fruit and vegetable intake not primary outcome, as per trial registry primary outcome was exclusive breastfeeding

Wald 2017

Participants had mean age of 5.5 years (intervention) or 5.4 years (control)

Walton 2015

Primary outcome, as per trial registry, was not fruit or vegetable intake; primary outcome was BMI

Wansink 2013

Participants were middle school children

Wansink 2014

Participants were middle school children

Ward 2011

Primary outcome was not fruit or vegetable intake; primary outcome was percent body fat

Ward 2017

Primary outcome is change in centre's nutrition environments

Wardle 2003b

Child mean age 6 years

Warschburger 2018

Participants were children aged 8‐16 years

Wells 2005

Not RCT ‐ cross‐sectional

Wen 2007

Primary outcome was not fruit or vegetable intake; primary outcome was BMI

Wen 2011

Primary outcome: duration of breastfeeding and timing of introduction of solids, as described in the published research protocol

Wen 2013

Primary outcome was not fruit or vegetable intake; primary outcome was good eating behaviour

Wen 2017

Fruit and vegetable intake was secondary outcome

Wengreen 2013

Participants were elementary school children

Whaley 2010

Study design in intervention and matched control site

Whiteside‐Mansell 2017

No fruit and vegetable intake outcome

Wijesinha‐Bettoni 2013

Children aged 6‐12 years

Williamson 2013

Participants were primary school children

Wilson 2016

No fruit and vegetable consumption outcome

Wyatt 2013

Children aged 9‐10 years

Wyse 2014

No child fruit or vegetable intake outcome

Yeh 2017

No fruit and vegetable intake outcome

Yin 2012

Intervention was not designed to increase fruit and/or vegetable consumption

Yoong 2017

Fruit and vegetable intake was not primary outcome, primary outcome was children's service compliance with dietary guidelines

Young 2017

No fruit and vegetable intake outcome

Zask 2012

Primary outcome was not fruit or vegetable intake; primary outcome was BMI

Zeinstra 2010

Participants were children with mean age 5.1‐5.2 years

Zhou 2016

Participants were young adults

Zhou 2017

Not RCT

Zota 2016

Child mean age as reported by author 8.6 years

Zotor 2008

Children aged 11‐15 years

Østbye 2012

Primary outcome was not fruit or vegetable intake; primary outcome as per trial registry was BMI

Characteristics of studies awaiting assessment [ordered by study ID]

Hull 2014

Methods

Participants

Interventions

Outcomes

Notes

No full text available to determine eligibility. Contact with author reported chapter describing study currently underway

Shahriarzadeh 2017

Methods

Participants

Interventions

Outcomes

Notes

Full text only available in Persian. Translation has been sought.

Characteristics of ongoing studies [ordered by study ID]

Belanger 2016

Trial name or title

Healthy start‐Départ santé

Methods

Cluster‐randomised controlled trial

Participants

Approximately 735 children aged 3‐5 years from 62 Early Childcare Centres

Interventions

Intervention: “The intervention is composed of six interlinked components which are presented in more detail in Fig. 1. These components include: 1) intersectoral partnerships conducive to participatory action that leads to promoting healthy weights in communities and ECC; 2) the Healthy Start‐Départ Santé implementation manual for educators on how to integrate healthy eating and physical activity in their centre; 3) customized training, role modelling and monitoring of Healthy Start‐Départ Santé in ECC; 4) the evidence‐based resource, LEAP‐GRANDIR [16], which contains material for both families and educators; 5) supplementary resources from governmental partners; and 6) a knowledge development and exchange (KDE), and communication strategy involving social media and web‐resources to raise awareness and mobilize grassroots organizations and communities.

Healthy Start‐Départ Santé is delivered over 6‐8 months and includes a partnership agreement, an initial training session which orients ECC staff to the concepts, the implementation manual and the use of resources, on‐going support and monitoring over time, one tailored booster session, and a family day to celebrate the ECC’ success at the end of the intervention.”

Control: “Usual practice controls” “Control sites are given the option of receiving the intervention once their participation in the evaluation has been completed”

Outcomes

Usual intake of fruits and vegetables assessed via parent‐reported semi‐quantitative food frequency questionnaire

Starting date

Participant recruitment began in Autumn 2013

Contact information

Anne Leis: [email protected]

Notes

Brophy‐Herb 2017

Trial name or title

Simply Dinner Study

Methods

Multiphase Optimization Strategy (MOST), where the main, additive and interactive effects of 6 support strategies are first tested in a screening phase to identify the intervention components most robustly associated with increased family meals and improvements in dietary quality.

The MOST factorial design includes 6 intervention components with a Usual Head Start Exposure condition (usual‐care control); thus, individual participants are randomised to one of 64 experimental conditions. The 64 experimental conditions result from the crossing of 6 Simply Dinner intervention components, each of which has 2 conditions (present vs. not), and reflect all possible pairings of the intervention components, including a no‐intervention condition.

These components are then tested in the confirming phase via RCT.

Participants

Families from Head Start preschools (disadvantaged families)

Interventions

6 intervention components ranging from the most to least intense forms of support

  1. Meal delivery‐ MD: home delivery of pre‐made healthy family meals including recipes that are ready to heat and eat;

  2. Ingredient delivery‐ ID: home delivery of ingredients with recipes to make and cook healthy family meals;

  3. Community kitchen‐ CK: sessions in which families make healthy meals with recipes to take home and cook;

  4. Didactics healthy eating classes with recipes via the Parents of Preschoolers‐ POPS curriculum;

  5. Cooking demonstration‐ CD: demonstration of meal preparation with recipes; and

  6. Cookware/flatware: delivery of flatware/cookware to utilise for family meals

Outcomes

Children’s diet quality over the previous week assessed using the Block Dietary Data Systems Kids Food Screener—Last Week (Version 2)

Starting date

Screening design: "planned completion is Dec 2017”

Confirming RCT planned to commence in September 2018

Contact information

Holly‐E Brophy‐Herb: [email protected]

Notes

Clincaltrials.gov Identifier NCT02487251; Registered 26 June 2015

Helle 2017

Trial name or title

Early food for future health: a randomized controlled trial evaluating the effect of an eHealth intervention aiming to promote healthy food habits from early childhood

Methods

Randomised controlled trial of parents with children aged between 3 and 5 months recruited through Norwegian child health centres and announcements on Facebook

Baseline questionnaires assessed eating behaviour and feeding practices, food variety and diet quality. All participants will be followed up at ages 12 and possibly 24 and 48 months, with questionnaires relating to eating behaviour and feeding practices, food variety and diet quality.

Participants

Parents of children aged between 3 and 5 months

Interventions

The intervention group received monthly emails with links to an age‐appropriate website when their child was between 6 and 12 months

Outcomes

Eating behaviour and feeding practices, food variety and diet quality

Starting date

Participant recruitment began in March 2016

Contact information

Christine Helle:

[email protected]

Notes

ISRCTN13601567

Hennink‐Kaminski 2017

Trial name or title

Healthy Me, Healthy We (HMHW) trial

Methods

2‐arm, cluster‐randomised controlled trial, where childcare centres are randomly assigned to an intervention or waitlist control group

Participants

96 childcare centres located in central North Carolina (NC), USA

Classroom teachers of children aged 3‐4 years

768 parents and children dyads (aged 3‐4 years)

Interventions

8‐month social marketing campaign delivered over the year targeting childcare teachers and parents

Childcare component involves a kick‐off event including hanging of study (HMHW) banner, inviting parents to attend, hanging of classroom poster, signing the Fit Family Promise and engaging in classroom activity.

Kick‐off event followed by four 6‐week classroom units targeting healthy eating and physical activity goals through both classroom and home components.

Home components include a family guide (targeted at achieving unit goals) and activity tracker (to track completion of at‐home activities), and aim to help parents partner with the childcare centre.

Control: waitlist control group

Outcomes

Primary: children's dietary intakes will be assessed using a combination of direct observation of foods and beverages consumed while at the centre and parent‐completed food diaries. Dietary intake at child care (outside of parent's supervision) will be assessed by trained data collectors during observations of participating children during breakfast/morning snack, lunch, and afternoon snack using the Diet Observation in Child Care protocol. Children’s diet quality will be assessed with Healthy Eating Index (HEI) scores

Starting date

October (year unclear)

Contact information

Heidi Hennink‐Kaminski: [email protected]

Notes

Registered at ClinicalTrials.gov (NCT0233‐345, 23 December 2014)

Horodynski 2011

Trial name or title

The healthy toddlers trial

Methods

Randomised controlled trial

Participants

Approximately 600 children aged 12 to 26 months recruited from community programmes, immunisation clinics and food pantries

Interventions

Intervention: “HT addresses core nutrition concepts but moves well beyond basic nutrition to address maternal self‐efficacy during feeding, appropriate feeding styles, and practices, including skill development to increase success in making these behavioural changes.”

“The HT intervention consists of eight in‐home visits by a specially trained paraprofessional instructor plus four weekly telephone follow‐up reinforcement contacts. Particularly for high‐risk families with young children, providing services within the context of the family’s home environment appears to be a useful and effective strategy to provide parents with information, emotional support, access to other services and direct education [19]. The home‐visitation model also engages families who lack transportation or child care, a challenge frequently reported by families with low incomes. Paraprofessional instructors are peer educators who can relate to the target audience. Research shows that people learn best from their peers (people like themselves). Eight home visit sessions have been found to produce behavioral change [20]. At each visit, the paraprofessional spends approximately 1 hour with the mother and toddler dyad. The HT lessons use a variety of techniques and materials to enhance each mother’s learning experience and help reinforce knowledge. Each lesson includes opportunities for discussion, hands‐on activities, and an opportunity for mothers to practice skills covered in the lesson. The eight lessons include a lesson plan, handouts, and recipes. Mothers receive a notebook binder at the beginning of Lesson 1.”

Control: “The control group families receive the usual services provided by Building strong families (BSF) or Expanded Food and Nutrition Education Program (EFNEP) in respective states. These families are newly enrolled into BSF or EFNEP as part of the HT study and have not received home visitation previously. The control lessons are similarly delivered as the HT lessons, such that, a paraprofessional instructor provides eight lessons during an in‐home visit, which last approximately 60 minutes. However, the control lessons focus on parenting (BSF) or nutrition (EFNEP) and do not include extensive content on feeding toddlers. Paraprofessionals who provide the lessons for the control group families are different to prevent cross contamination between the two groups.”

Outcomes

Child fruit and vegetable intake will be assessed via 3‐day dietary record of child’s intake

Starting date

Unknown

Contact information

Mildred Horodynski: [email protected]

Notes

ISRCTN45864056

Trial name or title

First food for infants

(Randomized controlled trial evaluating a cooking intervention to improve parental cooking skills and thereby improve dietary intake in infants aged 6‐12 months)

Methods

Randomised controlled trial

Participants

Approximately 160 children aged 5‐6 months attending selected public health clinics and their parent(s)

Interventions

Intervention: the intervention group is invited to a 2‐day course including some theory of infant nutrition, and a main focus on increasing practical food cooking skills (i.e. how to prepare and cook the first food for infants). They are also taught how to store food and how to be confident in making infants’ food themselves. 5 groups of participants attend the course on two different days. Each of the 2 course days lasts 4 hours, and parents are given theoretical knowledge about the infant's first food as well as practical knowledge on how to make nutritious and varied food.

Control: parents receive a booklet containing recipes for homemade foods for infants.

Outcomes

Food intake, measured using food frequency questionnaire

Starting date

The trial started in June 2012

Contact information

Nina Cecilie Øverby: [email protected]

Notes

ISRCTN45864056

ISRCTN98064772

Trial name or title

A cluster randomized web‐based intervention trial among one‐year‐old‐children in kindergarten to reduce food neophobia and promote healthy diets

Methods

Cluster‐randomised controlled trial

Participants

Approximately 306 children born in 2016, attending kindergartens in the counties of Oppland and Telemark in Norway

Interventions

Intervention group 1: kindergartens will be asked to serve a warm lunch meal with a variety of vegetables 3 days a week during the intervention period which will last for 3 months.

Intervention group 2: kindergartens will be asked to use given pedagogical tools including sensory lessons (the Sapere method) and advice on meal practice and feeding styles, in addition to serving the same meals as intervention group 1.

Control: control kindergartens will continue their usual practices.

Outcomes

Child vegetable intake, dietary habits and food variety using detailed questionnaires developed for this specific study

Starting date

The trial started in August 2017

Contact information

Nina Cecilie Øverby: [email protected]

Notes

ISRCTN98064772

Kobel 2017

Trial name or title

Happy child study

Methods

Two‐arm, cluster‐randomised controlled trial with outcomes assessed at baseline and after 9 months, via a self‐constructed questionnaire

Participants

Male and female children aged 3‐6 years attending kindergartens

Interventions

Programme in kindergarten setting that aims for the development of a healthy lifestyle of kindergartners, offering alternatives for their diet, exercise behaviour and leisure‐time activities delivered by the child‐care workers. The programme is carried out in the course of a kindergarten year supported by especially developed pre‐structured lessons to be integrated into the daily routine as well as the involvement of parents.

The programme’s goal is the increase of physical activity of kindergartners, the reduction of consumption of sweetened drinks as well as the reduction of time spent in front of computers and TVs.

Outcomes

Changes in dietary intake of fruit and vegetables

Starting date

September/October 2016

Contact information

Susanne Kobel: susanne.kobel at uni‐ulm.de

Notes

DRKS00010089

Mennella 2017

Trial name or title

Learning to like vegetables during breastfeeding

Methods

Dyads were randomly assigned into the following groups who differed in the timing and duration of when lactating mothers drank vegetable juices during their infants’ first 4 months postpartum as follows: exposure from 0.5‐1.5 months (1M0.5), exposure from 1.5‐2.5 months (1M1.5), exposure from 2.5‐3.5 months (1M2.5), exposure from 0.5‐3.5 months, or no exposure (control group)

Participants

97 mother‐infant dyads

Interventions

Lactating mothers drank vegetable, beet, celery, and carrot juices for 1 month beginning at 0.5, 1.5, or 2.5 months postpartum or for 3 months beginning at 0.5 months postpartum. Mothers in all groups were given 118‐mL cups from which to drink the juice (exposure group) or water (control group). Women in the experimental groups were provided with monthly supplies of the juices gratis at the beginning of the exposure month (i.e. 0.5, 1.5, or 2.5 months) or months (0.5–2.5 months). The women were instructed to drink a cupful (118 mL) of the vegetable juices per occasion during their particular month or months of exposure (resulting in 24 total exposures/month; 8 carrot juice exposures; and 8 vegetable juice exposures, 4 beet juice exposures, and 4 celery juice exposures).

Control group drank equal volumes of water and avoided drinking the juices

Outcomes

The number of minutes that elapsed from the start to end of feeding was the duration of the feed, and the amount consumed was determined by weighing the bowl immediately before and after each feed on a Mettler balance (model SG1600; Mettler‐Toledo). All food that was spilled onto the tray or bib during the feed was placed in the bowl before weighing

Starting date

Unclear

Contact information

Julie A Mennella: [email protected]

Notes

This trial was registered at clinicaltrials.gov as NCT01667549

NCT03003923

Trial name or title

A randomised control trial of an educational and taste‐exposure intervention to promote vegetable intake in preschool aged children

Methods

Cluster‐randomised control trial

Participants

160 children aged 2‐5 years

Interventions

Taste exposure: children will be repeatedly offered the single vegetable, which is unfamiliar to them over the 12‐week period. Children will be offered 40 g of the vegetable by their usual nursery staff.

Nutritional education: nursery staff will be trained by the PhunkyFoods team to deliver the nutritional education programme. Children will be taught Eat Well (learning about different food groups) and Strive for Five (learning about eating fruits and vegetables) components of the PhunkyFoods education programme by their usual nursery staff. Nurseries will be advised to deliver as much as possible of the two components over the 12‐week period.

Taste exposure and nutritional education: children will be repeatedly offered a single unfamiliar vegetable over the 12‐week period as well as receive the PhunkyFoods educational programme (Eat Well and Strive for Five components). Children will be offered the vegetable and nutritional education by their usual nursery staff.

No intervention control: children will be offered a single unfamiliar vegetable at the beginning, end and at the follow‐up. They will be offered the nutritional education after the completion of the study.

Outcomes

Intake of an unfamiliar vegetable measured using weight in grams

Starting date

The trial started in September 2016

Contact information

Chandani Nekitsing: [email protected]

Notes

NCT03003923

NCT03229629

Trial name or title

What promotes healthy eating?

Methods

Factorial, randomised controlled trial

Participants

7200 mother‐father‐child pairs

Interventions

Group 1: weekly maternal nutrition behaviour‐change communication (BCC) sessions for 4 months

Group 2: weekly maternal nutrition BCC sessions for 4 months and weekly paternal nutrition BCC sessions for 3 months

Group 3: receipt of a food voucher for 6 months (randomly select 1 parent)

Group 4: weekly maternal nutrition BCC sessions for 4 months and receipt of a food voucher for 6 months

Group 5 weekly maternal nutrition BCC sessions for 4 months and weekly paternal nutrition BCC sessions for 3 months and receipt of a food voucher for 6 months

Control group: unspecified

Outcomes

Child dietary diversity score

Mean difference in child dietary diversity score defined by consumption of number of food group consumed by a child

Food consumption score

Mean difference in food consumption score calculated using the frequency of consumption of different food groups consumed by a child.

Starting date

Registration date: 25 July 2017 – status was recruiting

Contact information

Hyuncheol Kim : [email protected]

Notes

This trial was registered at clinicaltrials.gov as NCT03229629

NTR6572

Trial name or title

Baby's first bites

(The what and how in weaning: a randomised controlled trial to assess the effects of vegetable‐exposure and responsive feeding on vegetable acceptance in infants and toddlers)

Methods

Randomised controlled trial

Participants

240 first‐time mothers of healthy term infants

Interventions

Intervention A: this intervention repeatedly exposed infants and toddlers to vegetables and involved 2 days of pre‐test, a 15‐day feeding schedule and 2 days of post‐test. During 15 consecutive days, children are exposed to one of two target vegetables according to a set scheme where one target vegetable is offered to the infant every other day. On the days in between, infants receive other vegetables for variety. During the feeding‐schedule on day 5 and 12 mothers will receive a phone call to motivate them to continue exposing their infant to vegetables. When the children are 8, 13 and 16 months of age, mothers will receive a booster phone call to reinforce daily vegetable intake.
Mothers are asked to keep serving their infant vegetables on a daily basis and receive a folder that emphasises the importance of repeated exposure to vegetables. Mothers also receive 20 vegetable purées a month, until 5 months after the feeding schedule to reinforce exposure to vegetables.

Intervention B: receives an intervention on how to feed their infant, in addition to a 15‐day feeding schedule consisting of mostly fruit. The intervention mothers receive purely focuses on the promotion of responsive feeding practices. The intervention mothers will receive the Video‐feedback Intervention to promote Positive Parenting ‐Feeding Infants (VIPP‐FI) and will be delivered during home visits. VIPP‐FI focuses on improving responsive feeding and sensitive ways of dealing with unwilling infants during the feeding process. Mothers are shown videotapes of their own feeding‐interaction with their infant, and receive feedback on these tapes by a trained intervener.

Intervention C: will receive a combination of Intervention A and Intervention B. Mothers will be asked to feed the infant according to the schedule for the vegetable‐exposure intervention and will also receive feedback on how they should go about feeding their infant according to the VIPP‐FI intervention.

Attention‐Control Condition D: receive the same feeding schedule as Intervention B and receive phone calls at the same time‐points as the intervention groups in which they will not receive any specific advice, but will be asked about topics such as the general development of the child. If mothers have questions about weaning or feeding, they are referred to “Het Voedingscentrum” or their infant welfare centre.

Outcomes

Infants' and toddlers' vegetable consumption

Starting date

The trial started in April 2016

Contact information

Judi Mesman: [email protected]

Notes

NTR6572 and NCT03348176

Seguin 2017

Trial name or title

Farm Fresh Foods for Healthy Kids (F3HK)

Methods

The Farm Fresh Foods for Healthy Kids community‐based, randomised intervention trial will build on formative and longitudinal research to examine the impact of cost‐offset community supported agriculture on diet and other health behaviours as well as the economic impacts on local economies. In each program, families will be recruited to join existing community supported agriculture programs in New York, North Carolina, Vermont, and Washington, and families will be randomised 1:1 to intervention or delayed intervention groups. Data will be collected at baseline, and in the fall and spring for 3 years.

Participants

Low‐income families with at least 1 child aged 2‐12 years. Target is 240 families (120 per arm)

Interventions

The intervention will involve reduced‐price community supported agriculture shares, which can be paid for on a weekly basis, nine skill‐based and seasonally tailored healthy eating classes, and the provision of basic kitchen tools.

Outcomes

Children’s intake of fruits and vegetables

Starting date

Unknown

Contact information

[email protected]

Notes

NCT02770196

Sobko 2016

Trial name or title

Play and grow

Methods

Randomised controlled trial

Participants

Approximately 240 families with children aged 2‐4 years

Interventions

Intervention: “Play & Grow is a 10‐week family‐based, multi‐component healthy lifestyle programme”

"The Play & Grow will have educational strategies including instructions, parental peer support and group discussions, and homework tasks, in accordance with the elements developed in our Play & Grow pilot study. Each session will comprise: (i) 15 min of guided active play involving both children and parents; (ii) 15 min of interactive education and skill development for parents; simultaneous supervised active play with foods for children, to promote acceptance of vegetables, and (iii) 15 min of guided active nature games outdoors, involving both children and parents. The sessions will incorporate a lifestyle component, for example: eating, active play and connectedness to nature). These will target the parents’ knowledge and skills on how to introduce and maintain their child’s correct lifestyle routines. A group leader and co‐leader with healthcare backgrounds (and trained by the PI during the Play & Grow pilot study) will facilitate the sessions involving 4 to 5 parent‐child dyads. The proposed intervention, we will employ environmental education and nature‐related activities to help participating families develop skills conducive to improving playtime and eating habits in children."

Control: “The (waiting list or control group) WLCG children will be offered the Play & Grow programme at study completion”

Outcomes

Child fruit and vegetable intake will be assessed using the Eating and Physical Activity Questionnaire (EPAQ) and The Children’s Eating Behaviour Questionnaire (CEBQ)

Starting date

Unknown

Contact information

Tanja Sobko: [email protected]

Notes

Watt 2014

Trial name or title

Choosing Healthy Eating when Really Young (CHERRY)

Methods

Randomised controlled trial

Participants

Approximately 288 parents of children aged 18 months to 5 years from children's centres

Interventions

Intervention: “The intervention group participants attended four sessions (one each week) over 4 weeks. Each session lasted 2 h. The first hour of each session involved parents discussing and learning about a variety of aspects of healthy eating while the children attended a free crèche in the adjacent room (the crèche activities were not considered part of CHERRY and were not monitored). The second hour involved parents. and children together for a more practical, ‘hands on’ cook and eat session involving basic food preparation and tasting. Each session began with a recap from the previous week and finished with parents being given a ‘CHERRY at home’ activity to complete before the following week’s session; these were both designed to consolidate parents’ learning.

The intervention group also received SMS reminders via mobile phones between sessions; SMSs included the main messages of the CHERRY programme, as well as reminders to attend each session. The intervention comprised not only individually focused nutrition support, but also encompassed activities directed at developing the capacity of the children’s centre to promote and maintain healthy nutritional practices.

In the intervention centres, a staff training session was offered to all staff working in the centres. The training session covered various aspects of healthy eating and nutrition for early years and included an introduction and overview of the CHERRY programme. Each training session was tailored to the needs of the staff, as identified by heads of each intervention centre. Intervention centres were also given support and advice to revise and develop their centre’s food policies in order to support healthy eating practices and procedures.”

Control: “The children’s centres randomised to the control group did not receive any of the components of the CHERRY programme. During the study period, the control centres agreed not to implement any new nutritional interventions but continued with existing support. On final completion of the study, the CHERRY resources were disseminated to control centres and other early years settings interested in nutrition.”

Outcomes

"Child’s fruit and vegetable consumption at home (portions per day). This was defined as the total weight (grams) of fruit and vegetables consumed the number of different types of fruit and vegetables consumed, and the actual types of fruit and vegetables consumed. The child’s diet was assessed using the multiple‐pass 24‐h recall method. As the children concerned were under 5 years of age, the parents completed the interviews on their behalf.”

Starting date

Parents were recruited into the study over 5 recruitment waves between September 2010 and November 2011

Contact information

Richard Geddie Watt: [email protected]

Notes

Østbye 2015

Trial name or title

Keys to Healthy Family Child Care Homes (KEYS)

Methods

Cluster‐randomised controlled trial

Participants

Approximately 450 children aged 18 months to 4 years from 150 Family Child Care Homes

Interventions

Intervention: “The Keys intervention is delivered over nine months, spending approximately three months on each of three modules. These modules are designed to help providers (1). Modify their own weight‐related behaviors so that they can become role models for children (Module 1: Healthy You), (2) create environments that encourage and support children’s physical activity and healthy eating habits (Module 2: Healthy Home), and (3) adopt sound business practices that will help them sustain the changes introduced (Module 3: Healthy Business).

"The intervention is delivered through workshops, home visits, tailored coaching calls, and educational toolkits."

Control: “Participants in the control arm receive the Healthy Business" only

Outcomes

Child intake collected using direct observation at the Family Child Care Homes

Starting date

Unknown

Contact information

Courtney Mann: [email protected]

Notes

LGA: Local Government Area

Data and analyses

Open in table viewer
Comparison 1. Short‐term impact (< 12 months) of child‐feeding intervention versus no intervention

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Vegetable intake Show forest plot

13

1741

Std. Mean Difference (Random, 95% CI)

0.33 [0.13, 0.54]

Analysis 1.1

Comparison 1 Short‐term impact (< 12 months) of child‐feeding intervention versus no intervention, Outcome 1 Vegetable intake.

Comparison 1 Short‐term impact (< 12 months) of child‐feeding intervention versus no intervention, Outcome 1 Vegetable intake.

2 Vegetable intake ‐ sensitivity analysis ‐ risk of bias Show forest plot

13

1670

Std. Mean Difference (Random, 95% CI)

0.33 [0.13, 0.54]

Analysis 1.2

Comparison 1 Short‐term impact (< 12 months) of child‐feeding intervention versus no intervention, Outcome 2 Vegetable intake ‐ sensitivity analysis ‐ risk of bias.

Comparison 1 Short‐term impact (< 12 months) of child‐feeding intervention versus no intervention, Outcome 2 Vegetable intake ‐ sensitivity analysis ‐ risk of bias.

2.1 Low/unclear risk of bias

5

487

Std. Mean Difference (Random, 95% CI)

0.23 [0.03, 0.44]

2.2 High risk of bias

8

1183

Std. Mean Difference (Random, 95% CI)

0.37 [0.06, 0.68]

3 Vegetable intake ‐ sensitivity analysis ‐ primary outcome Show forest plot

13

1670

Std. Mean Difference (Random, 95% CI)

0.33 [0.13, 0.54]

Analysis 1.3

Comparison 1 Short‐term impact (< 12 months) of child‐feeding intervention versus no intervention, Outcome 3 Vegetable intake ‐ sensitivity analysis ‐ primary outcome.

Comparison 1 Short‐term impact (< 12 months) of child‐feeding intervention versus no intervention, Outcome 3 Vegetable intake ‐ sensitivity analysis ‐ primary outcome.

3.1 Primary outcome of child fruit or vegetable intake

10

1331

Std. Mean Difference (Random, 95% CI)

0.45 [0.19, 0.70]

3.2 Primary outcome unclear

3

339

Std. Mean Difference (Random, 95% CI)

0.03 [‐0.19, 0.24]

4 Vegetable intake ‐ sensitivity analysis ‐ missing data Show forest plot

13

1670

Std. Mean Difference (Random, 95% CI)

0.33 [0.13, 0.54]

Analysis 1.4

Comparison 1 Short‐term impact (< 12 months) of child‐feeding intervention versus no intervention, Outcome 4 Vegetable intake ‐ sensitivity analysis ‐ missing data.

Comparison 1 Short‐term impact (< 12 months) of child‐feeding intervention versus no intervention, Outcome 4 Vegetable intake ‐ sensitivity analysis ‐ missing data.

4.1 Low attrition or high attrition with ITT analysis

8

757

Std. Mean Difference (Random, 95% CI)

0.29 [0.10, 0.48]

4.2 High attrition and no ITT analysis

5

913

Std. Mean Difference (Random, 95% CI)

0.35 [‐0.10, 0.79]

5 Vegetable intake ‐ subgroup analysis ‐ modality Show forest plot

13

1670

Std. Mean Difference (Random, 95% CI)

0.33 [0.13, 0.54]

Analysis 1.5

Comparison 1 Short‐term impact (< 12 months) of child‐feeding intervention versus no intervention, Outcome 5 Vegetable intake ‐ subgroup analysis ‐ modality.

Comparison 1 Short‐term impact (< 12 months) of child‐feeding intervention versus no intervention, Outcome 5 Vegetable intake ‐ subgroup analysis ‐ modality.

5.1 Face‐to‐face

11

1489

Std. Mean Difference (Random, 95% CI)

0.32 [0.09, 0.56]

5.2 Other modality

2

181

Std. Mean Difference (Random, 95% CI)

0.36 [0.06, 0.66]

6 Vegetable intake ‐ subgroup analysis ‐ setting Show forest plot

13

1670

Std. Mean Difference (Random, 95% CI)

0.33 [0.13, 0.54]

Analysis 1.6

Comparison 1 Short‐term impact (< 12 months) of child‐feeding intervention versus no intervention, Outcome 6 Vegetable intake ‐ subgroup analysis ‐ setting.

Comparison 1 Short‐term impact (< 12 months) of child‐feeding intervention versus no intervention, Outcome 6 Vegetable intake ‐ subgroup analysis ‐ setting.

6.1 School or preschool

4

444

Std. Mean Difference (Random, 95% CI)

0.19 [‐0.02, 0.40]

6.2 Home

4

474

Std. Mean Difference (Random, 95% CI)

0.56 [0.18, 0.95]

6.3 Home + Lab

2

40

Std. Mean Difference (Random, 95% CI)

0.74 [0.09, 1.39]

6.4 Other settings

3

712

Std. Mean Difference (Random, 95% CI)

0.06 [‐0.14, 0.26]

Open in table viewer
Comparison 2. Short‐term impact (< 12 months) of parent nutrition education intervention versus no intervention

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Fruit and vegetable intake Show forest plot

11

3078

Std. Mean Difference (Random, 95% CI)

0.12 [‐0.03, 0.28]

Analysis 2.1

Comparison 2 Short‐term impact (< 12 months) of parent nutrition education intervention versus no intervention, Outcome 1 Fruit and vegetable intake.

Comparison 2 Short‐term impact (< 12 months) of parent nutrition education intervention versus no intervention, Outcome 1 Fruit and vegetable intake.

2 Fruit and vegetable intake ‐ sensitivity analysis ‐ primary outcome Show forest plot

11

3078

Std. Mean Difference (Random, 95% CI)

0.12 [‐0.03, 0.28]

Analysis 2.2

Comparison 2 Short‐term impact (< 12 months) of parent nutrition education intervention versus no intervention, Outcome 2 Fruit and vegetable intake ‐ sensitivity analysis ‐ primary outcome.

Comparison 2 Short‐term impact (< 12 months) of parent nutrition education intervention versus no intervention, Outcome 2 Fruit and vegetable intake ‐ sensitivity analysis ‐ primary outcome.

2.1 Primary outcome of child fruit or vegetable intake

8

2792

Std. Mean Difference (Random, 95% CI)

0.04 [‐0.08, 0.16]

2.2 Primary outcome unclear

3

286

Std. Mean Difference (Random, 95% CI)

0.52 [0.03, 1.00]

3 Fruit and vegetable intake ‐ sensitivity analysis ‐ missing data Show forest plot

11

3078

Std. Mean Difference (Random, 95% CI)

0.12 [‐0.03, 0.28]

Analysis 2.3

Comparison 2 Short‐term impact (< 12 months) of parent nutrition education intervention versus no intervention, Outcome 3 Fruit and vegetable intake ‐ sensitivity analysis ‐ missing data.

Comparison 2 Short‐term impact (< 12 months) of parent nutrition education intervention versus no intervention, Outcome 3 Fruit and vegetable intake ‐ sensitivity analysis ‐ missing data.

3.1 Low attrition or high attrition with ITT analysis

7

2518

Std. Mean Difference (Random, 95% CI)

0.12 [‐0.00, 0.24]

3.2 High attrition and no ITT analysis

4

560

Std. Mean Difference (Random, 95% CI)

0.07 [‐0.45, 0.59]

4 Fruit and vegetable intake ‐ subgroup analysis ‐ modality Show forest plot

11

3078

Std. Mean Difference (Random, 95% CI)

0.12 [‐0.03, 0.28]

Analysis 2.4

Comparison 2 Short‐term impact (< 12 months) of parent nutrition education intervention versus no intervention, Outcome 4 Fruit and vegetable intake ‐ subgroup analysis ‐ modality.

Comparison 2 Short‐term impact (< 12 months) of parent nutrition education intervention versus no intervention, Outcome 4 Fruit and vegetable intake ‐ subgroup analysis ‐ modality.

4.1 Face‐to‐face only

5

826

Std. Mean Difference (Random, 95% CI)

0.12 [‐0.20, 0.45]

4.2 Audio visual only

2

386

Std. Mean Difference (Random, 95% CI)

0.40 [‐0.04, 0.85]

4.3 Other modality

4

1866

Std. Mean Difference (Random, 95% CI)

0.03 [‐0.16, 0.21]

5 Fruit and vegetable intake ‐ subgroup analysis ‐ setting Show forest plot

11

3078

Std. Mean Difference (Random, 95% CI)

0.12 [‐0.03, 0.28]

Analysis 2.5

Comparison 2 Short‐term impact (< 12 months) of parent nutrition education intervention versus no intervention, Outcome 5 Fruit and vegetable intake ‐ subgroup analysis ‐ setting.

Comparison 2 Short‐term impact (< 12 months) of parent nutrition education intervention versus no intervention, Outcome 5 Fruit and vegetable intake ‐ subgroup analysis ‐ setting.

5.1 Home

5

2047

Std. Mean Difference (Random, 95% CI)

0.06 [‐0.16, 0.27]

5.2 Preschool

2

243

Std. Mean Difference (Random, 95% CI)

0.43 [‐0.27, 1.13]

5.3 Other settings

4

788

Std. Mean Difference (Random, 95% CI)

0.09 [‐0.07, 0.25]

Open in table viewer
Comparison 3. Short‐term impact (< 12 months) of multicomponent intervention versus no intervention

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Fruit and vegetable intake Show forest plot

5

2009

Std. Mean Difference (Random, 95% CI)

0.35 [0.04, 0.66]

Analysis 3.1

Comparison 3 Short‐term impact (< 12 months) of multicomponent intervention versus no intervention, Outcome 1 Fruit and vegetable intake.

Comparison 3 Short‐term impact (< 12 months) of multicomponent intervention versus no intervention, Outcome 1 Fruit and vegetable intake.

2 Fruit and vegetable intake ‐ sensitivity analysis ‐ primary outcome Show forest plot

5

2009

Std. Mean Difference (Random, 95% CI)

0.35 [0.04, 0.66]

Analysis 3.2

Comparison 3 Short‐term impact (< 12 months) of multicomponent intervention versus no intervention, Outcome 2 Fruit and vegetable intake ‐ sensitivity analysis ‐ primary outcome.

Comparison 3 Short‐term impact (< 12 months) of multicomponent intervention versus no intervention, Outcome 2 Fruit and vegetable intake ‐ sensitivity analysis ‐ primary outcome.

2.1 Primary outcome of child fruit or vegetable intake

4

1315

Std. Mean Difference (Random, 95% CI)

0.44 [‐0.00, 0.87]

2.2 Primary outcome unclear

1

694

Std. Mean Difference (Random, 95% CI)

0.12 [‐0.13, 0.38]

3 Fruit and vegetable intake ‐ sensitivity analysis ‐ missing data Show forest plot

5

2009

Std. Mean Difference (Random, 95% CI)

0.35 [0.04, 0.66]

Analysis 3.3

Comparison 3 Short‐term impact (< 12 months) of multicomponent intervention versus no intervention, Outcome 3 Fruit and vegetable intake ‐ sensitivity analysis ‐ missing data.

Comparison 3 Short‐term impact (< 12 months) of multicomponent intervention versus no intervention, Outcome 3 Fruit and vegetable intake ‐ sensitivity analysis ‐ missing data.

3.1 Low attrition or high attrition with ITT analysis

3

413

Std. Mean Difference (Random, 95% CI)

0.65 [0.43, 0.88]

3.2 High attrition and no ITT analysis

2

1596

Std. Mean Difference (Random, 95% CI)

0.06 [‐0.08, 0.20]

4 Fruit and vegetable intake ‐ subgroup analysis ‐ setting Show forest plot

5

2009

Std. Mean Difference (Random, 95% CI)

0.35 [0.04, 0.66]

Analysis 3.4

Comparison 3 Short‐term impact (< 12 months) of multicomponent intervention versus no intervention, Outcome 4 Fruit and vegetable intake ‐ subgroup analysis ‐ setting.

Comparison 3 Short‐term impact (< 12 months) of multicomponent intervention versus no intervention, Outcome 4 Fruit and vegetable intake ‐ subgroup analysis ‐ setting.

4.1 School or preschool

3

1608

Std. Mean Difference (Random, 95% CI)

0.07 [‐0.07, 0.20]

4.2 Other settings

2

401

Std. Mean Difference (Random, 95% CI)

0.66 [0.43, 0.89]

Study flow diagram
Figuras y tablas -
Figure 1

Study flow diagram

Risk of bias graph: review authors' judgements about each risk of bias item presented as percentages across all included studies
Figuras y tablas -
Figure 2

Risk of bias graph: review authors' judgements about each risk of bias item presented as percentages across all included studies

Risk of bias summary: review authors' judgements about each risk of bias item for each included study
Figuras y tablas -
Figure 3

Risk of bias summary: review authors' judgements about each risk of bias item for each included study

Funnel plot of comparison 1. Short‐term impact (< 12 months) of child‐feeding intervention versus no intervention on child consumption of target fruit or vegetable, outcome 1.1, fruit and/or vegetable intake
Figuras y tablas -
Figure 4

Funnel plot of comparison 1. Short‐term impact (< 12 months) of child‐feeding intervention versus no intervention on child consumption of target fruit or vegetable, outcome 1.1, fruit and/or vegetable intake

Funnel plot of comparison 3. Short‐term impact (< 12 months) of parent nutrition education intervention versus usual care, outcome 3.1, fruit and/or vegetable intake
Figuras y tablas -
Figure 5

Funnel plot of comparison 3. Short‐term impact (< 12 months) of parent nutrition education intervention versus usual care, outcome 3.1, fruit and/or vegetable intake

Funnel plot of comparison 4. Short‐term impact (< 12 months) of multicomponent intervention versus usual care, outcome 4.1, fruit and/or vegetable intake
Figuras y tablas -
Figure 6

Funnel plot of comparison 4. Short‐term impact (< 12 months) of multicomponent intervention versus usual care, outcome 4.1, fruit and/or vegetable intake

Comparison 1 Short‐term impact (< 12 months) of child‐feeding intervention versus no intervention, Outcome 1 Vegetable intake.
Figuras y tablas -
Analysis 1.1

Comparison 1 Short‐term impact (< 12 months) of child‐feeding intervention versus no intervention, Outcome 1 Vegetable intake.

Comparison 1 Short‐term impact (< 12 months) of child‐feeding intervention versus no intervention, Outcome 2 Vegetable intake ‐ sensitivity analysis ‐ risk of bias.
Figuras y tablas -
Analysis 1.2

Comparison 1 Short‐term impact (< 12 months) of child‐feeding intervention versus no intervention, Outcome 2 Vegetable intake ‐ sensitivity analysis ‐ risk of bias.

Comparison 1 Short‐term impact (< 12 months) of child‐feeding intervention versus no intervention, Outcome 3 Vegetable intake ‐ sensitivity analysis ‐ primary outcome.
Figuras y tablas -
Analysis 1.3

Comparison 1 Short‐term impact (< 12 months) of child‐feeding intervention versus no intervention, Outcome 3 Vegetable intake ‐ sensitivity analysis ‐ primary outcome.

Comparison 1 Short‐term impact (< 12 months) of child‐feeding intervention versus no intervention, Outcome 4 Vegetable intake ‐ sensitivity analysis ‐ missing data.
Figuras y tablas -
Analysis 1.4

Comparison 1 Short‐term impact (< 12 months) of child‐feeding intervention versus no intervention, Outcome 4 Vegetable intake ‐ sensitivity analysis ‐ missing data.

Comparison 1 Short‐term impact (< 12 months) of child‐feeding intervention versus no intervention, Outcome 5 Vegetable intake ‐ subgroup analysis ‐ modality.
Figuras y tablas -
Analysis 1.5

Comparison 1 Short‐term impact (< 12 months) of child‐feeding intervention versus no intervention, Outcome 5 Vegetable intake ‐ subgroup analysis ‐ modality.

Comparison 1 Short‐term impact (< 12 months) of child‐feeding intervention versus no intervention, Outcome 6 Vegetable intake ‐ subgroup analysis ‐ setting.
Figuras y tablas -
Analysis 1.6

Comparison 1 Short‐term impact (< 12 months) of child‐feeding intervention versus no intervention, Outcome 6 Vegetable intake ‐ subgroup analysis ‐ setting.

Comparison 2 Short‐term impact (< 12 months) of parent nutrition education intervention versus no intervention, Outcome 1 Fruit and vegetable intake.
Figuras y tablas -
Analysis 2.1

Comparison 2 Short‐term impact (< 12 months) of parent nutrition education intervention versus no intervention, Outcome 1 Fruit and vegetable intake.

Comparison 2 Short‐term impact (< 12 months) of parent nutrition education intervention versus no intervention, Outcome 2 Fruit and vegetable intake ‐ sensitivity analysis ‐ primary outcome.
Figuras y tablas -
Analysis 2.2

Comparison 2 Short‐term impact (< 12 months) of parent nutrition education intervention versus no intervention, Outcome 2 Fruit and vegetable intake ‐ sensitivity analysis ‐ primary outcome.

Comparison 2 Short‐term impact (< 12 months) of parent nutrition education intervention versus no intervention, Outcome 3 Fruit and vegetable intake ‐ sensitivity analysis ‐ missing data.
Figuras y tablas -
Analysis 2.3

Comparison 2 Short‐term impact (< 12 months) of parent nutrition education intervention versus no intervention, Outcome 3 Fruit and vegetable intake ‐ sensitivity analysis ‐ missing data.

Comparison 2 Short‐term impact (< 12 months) of parent nutrition education intervention versus no intervention, Outcome 4 Fruit and vegetable intake ‐ subgroup analysis ‐ modality.
Figuras y tablas -
Analysis 2.4

Comparison 2 Short‐term impact (< 12 months) of parent nutrition education intervention versus no intervention, Outcome 4 Fruit and vegetable intake ‐ subgroup analysis ‐ modality.

Comparison 2 Short‐term impact (< 12 months) of parent nutrition education intervention versus no intervention, Outcome 5 Fruit and vegetable intake ‐ subgroup analysis ‐ setting.
Figuras y tablas -
Analysis 2.5

Comparison 2 Short‐term impact (< 12 months) of parent nutrition education intervention versus no intervention, Outcome 5 Fruit and vegetable intake ‐ subgroup analysis ‐ setting.

Comparison 3 Short‐term impact (< 12 months) of multicomponent intervention versus no intervention, Outcome 1 Fruit and vegetable intake.
Figuras y tablas -
Analysis 3.1

Comparison 3 Short‐term impact (< 12 months) of multicomponent intervention versus no intervention, Outcome 1 Fruit and vegetable intake.

Comparison 3 Short‐term impact (< 12 months) of multicomponent intervention versus no intervention, Outcome 2 Fruit and vegetable intake ‐ sensitivity analysis ‐ primary outcome.
Figuras y tablas -
Analysis 3.2

Comparison 3 Short‐term impact (< 12 months) of multicomponent intervention versus no intervention, Outcome 2 Fruit and vegetable intake ‐ sensitivity analysis ‐ primary outcome.

Comparison 3 Short‐term impact (< 12 months) of multicomponent intervention versus no intervention, Outcome 3 Fruit and vegetable intake ‐ sensitivity analysis ‐ missing data.
Figuras y tablas -
Analysis 3.3

Comparison 3 Short‐term impact (< 12 months) of multicomponent intervention versus no intervention, Outcome 3 Fruit and vegetable intake ‐ sensitivity analysis ‐ missing data.

Comparison 3 Short‐term impact (< 12 months) of multicomponent intervention versus no intervention, Outcome 4 Fruit and vegetable intake ‐ subgroup analysis ‐ setting.
Figuras y tablas -
Analysis 3.4

Comparison 3 Short‐term impact (< 12 months) of multicomponent intervention versus no intervention, Outcome 4 Fruit and vegetable intake ‐ subgroup analysis ‐ setting.

Summary of findings for the main comparison. Child feeding interventions compared to no intervention for children aged five years and under

Child feeding interventions compared to no intervention for children aged five years and under

Patient or population: children aged five years and under
Setting: various: preschool (n = 4), school (n = 1), home + lab (n = 2), child health clinic (n = 1), home (n = 4), home + health facility (n = 2)
Intervention: child‐feeding interventions
Comparison: no intervention

Outcomes

Anticipated absolute effects* (95% CI)

Relative effect
(95% CI)

№ of participants
(studies)

Quality of the evidence
(GRADE)

Comments

Risk with no intervention

Risk with child‐feeding interventions

Short‐term impact (< 12 months) child vegetable intake

The mean as‐desired vegetable intake was 7.7 grams1

The mean as‐desired vegetable intake (grams) in the intervention group was 3.50 higher (1.38 higher to 5.73 higher)

1741
(13 RCTs)

⊕⊝⊝⊝
VERY LOW 2, 3, 4

Scores estimated using a standardised mean difference of 0.33 (0.13 to 0.54) and a standard deviation of 10.61.1

The mean duration of follow‐up post‐intervention for studies included in the meta‐analysis was 6.2 weeks.

Harnack 2012 compared ≥ 1 child‐feeding practice interventions to a no‐treatment control and reported a significant increase in intake of fruit but could not be synthesised in meta‐analysis.

Short‐term impact (< 12 months) cost effectiveness ‐ not reported

No child‐feeding interventions reported this outcome

Short‐term impact (< 12 months) unintended adverse events

One trial (Spill 2011a) reported no adverse effects on amount of meals consumed

39
(1 RCT)

⊕⊝⊝⊝
VERY LOW 5, 6, 7

*The risk in the intervention group (and its 95% confidence interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI)

CI: confidence interval

GRADE Working Group grades of evidence
High quality: we are very confident that the true effect lies close to that of the estimate of the effect
Moderate quality: we are moderately confident in the effect estimate: the true effect is likely to be close to the estimate of the effect, but there is a possibility that it is substantially different
Low quality: our confidence in the effect estimate is limited: the true effect may be substantially different from the estimate of the effect
Very low quality: we have very little confidence in the effect estimate: the true effect is likely to be substantially different from the estimate of effect

1We used the post‐intervention mean and standard deviation of the control group from Wardle 2003a for the risk with no intervention and to re‐express the SMD in terms of grams of intake.
2Downgraded one level for unexplained heterogeneity: Analysis 1.1 (main analysis): I2 = 70%; Analysis 1.5 (subgroup analysis by modality) I2 = 0% (test for subgroup differences); Analysis 1.6 (subgroup analysis by setting) I2 = 62.4% (test for subgroup differences).
3Downgraded one level for risk of bias: fewer than half of the included studies were rated at low risk of bias for 3 of 4 criteria.
4Downgraded one level for high probability of publication bias: most included studies were not combined in meta‐analysis.
5Downgraded one level for risk of bias: due to being assessed as high risk of bias across multiple domains.
6Downgraded one level for imprecision: total sample size was < 400.
7Downgraded one level for high probability of publication bias: no other studies reported assessing adverse events, so selective reporting suspected.

Figuras y tablas -
Summary of findings for the main comparison. Child feeding interventions compared to no intervention for children aged five years and under
Summary of findings 2. Parent nutrition education interventions compared to no intervention for children aged five years and under

Parent nutrition education interventions compared to no intervention for children aged 5 years and under

Patient or population: children aged 5 years and under
Setting: various: parenting group (n = 1), home (n = 4), primary care clinic (n = 1), community health centre (n = 1), preschool (n = 2), preschool + home (n = 1), clinic + home (n = 1)
Intervention: parent nutrition education interventions
Comparison: no intervention

Outcomes

Anticipated absolute effects* (95% CI)

Relative effect
(95% CI)

№ of participants
(studies)

Quality of the evidence
(GRADE)

Comments

Risk with no intervention

Risk with parent nutrition education interventions

Short‐term impact (< 12 months) child fruit and vegetable intake

The mean servings of vegetables per day was 1.61

The mean servings of vegetables per day in the intervention group was 0.12 higher (0.03 lower to 0.28 higher)

3078
(11 RCTs)

⊕⊝⊝⊝
VERY LOW 2, 3, 4

Scores estimated using a standardised mean difference of 0.12 (‐0.03 to 0.28) and a standard deviation of 1.01

The mean duration of follow‐up post‐intervention for studies included in the meta‐analysis was 8.8 weeks.

We were unable to pool results of three trials that reported mixed results in the meta‐analysis. One study found a parent‐responsivity and behaviour‐management intervention to be effective in increasing total fruit intake compared to control (Black 2011); one study found a parent health report on fruit and vegetable consumption to be effective in increasing total vegetable intake compared to control, but not fruit (Hunsaker 2017); and the other study found both a parent‐complementary feeding intervention and a parent‐complementary feeding and home‐visit intervention to be effective in increasing both fruit and vegetable intake compared to control (Vazir 2013).

Short‐term impact (< 12 months) cost effectiveness

Information regarding intervention costs was reported in 1 trial (Campbell 2013)

389
(1 RCT)

⊕⊝⊝⊝
VERY LOW 5, 6, 7

Short‐term impact (< 12 months) unintended adverse events

One trial (Wyse 2012) reported no adverse effect on family food expenditure

343
(1 RCT)

⊕⊝⊝⊝
VERY LOW 5, 6, 8

*The risk in the intervention group (and its 95% confidence interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI).

CI: Confidence interval

GRADE Working Group grades of evidence
High quality: We are very confident that the true effect lies close to that of the estimate of the effect
Moderate quality: We are moderately confident in the effect estimate: The true effect is likely to be close to the estimate of the effect, but there is a possibility that it is substantially different
Low quality: Our confidence in the effect estimate is limited: The true effect may be substantially different from the estimate of the effect
Very low quality: We have very little confidence in the effect estimate: The true effect is likely to be substantially different from the estimate of effect

1We used the post‐intervention mean and standard deviation of the control group from Skouteris 2015 for the risk with no intervention and to re‐express the SMD in terms of servings of vegetables per day.
2Downgraded one level for unexplained heterogeneity: Analysis 2.1 (main analysis): I2 = 69%; Analysis 2.4 (subgroup analysis by modality): I2 = 16.2% (test for subgroup differences); Analysis 2.5 (subgroups by setting): I2 = 0%.
3Downgraded one level for risk of bias: most studies were at high risk of bias for lack of blinding, and fewer than half were at low risk of bias for other methodological limitations.
4Downgraded one level for imprecision: the confidence intervals contained the null value.
5Downgraded one level for risk of bias: study assessed as high risk of bias for number of domains.
6Downgraded one level for imprecision: total sample size was < 400.
7 Downgraded one level for high probability of publication bias: no other studies reported cost effectiveness, so selective reporting suspected.
8 Downgraded one level for high probability of publication bias: no other studies reported assessing adverse events, so selective reporting suspected.

Figuras y tablas -
Summary of findings 2. Parent nutrition education interventions compared to no intervention for children aged five years and under
Summary of findings 3. Multicomponent interventions compared to no intervention for children aged five years and under

Multicomponent interventions compared to no intervention for children aged 5 years and under

Patient or population: children aged 5 years and under
Setting: various: preschool (n = 2), school (n = 1), preschool + home (n = 2)
Intervention: multicomponent interventions
Comparison: no intervention

Outcomes

Anticipated absolute effects* (95% CI)

Relative effect
(95% CI)

№ of participants
(studies)

Quality of the evidence
(GRADE)

Comments

Risk with no intervention

Risk with multicomponent interventions

Short‐term impact (< 12 months) child fruit and vegetable intake

The mean cups of vegetables per day was 1.081

The mean cups of vegetables per day in the intervention group was 0.37 higher (0.04 higher to 0.69 higher)

2009
(5 RCTs)

⊕⊕⊝⊝
LOW 2, 3

Scores estimated using a standardised mean difference of 0.35 (0.04 to 0.66) and a standard deviation of 1.051

The mean duration of follow‐up post‐intervention for studies included in the meta‐analysis was 1.1 weeks

4 studies could not be pooled in meta‐analysis. 3 reported significant increases in both fruit and vegetable consumption, and 1 significantly increased fruit but not vegetable consumption

Short‐term impact (< 12 months) cost effectiveness ‐ not reported

No studies reported this outcome

Short‐term impact (< 12 months) unintended adverse events ‐ not reported

No studies reported this outcome

*The risk in the intervention group (and its 95% confidence interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI).

CI: Confidence interval

GRADE Working Group grades of evidence
High quality: We are very confident that the true effect lies close to that of the estimate of the effect
Moderate quality: We are moderately confident in the effect estimate: The true effect is likely to be close to the estimate of the effect, but there is a possibility that it is substantially different
Low quality: Our confidence in the effect estimate is limited: The true effect may be substantially different from the estimate of the effect
Very low quality: We have very little confidence in the effect estimate: The true effect is likely to be substantially different from the estimate of effect

1We used the post‐intervention mean and standard deviation of the control group from Williams 2014 for the risk with no intervention and to re‐express the SMD in terms of cups vegetables per day.
2Downgraded one level for unexplained heterogeneity: Analysis 3.1 (main analysis): I2 = 80%; Analysis 3.4 (subgroup analysis by setting): I2 = 94.8% (test for subgroup differences).
3Downgraded one level for risk of bias: fewer than half of the included studies were rated at low risk of bias for 2 of 4 criteria.

Figuras y tablas -
Summary of findings 3. Multicomponent interventions compared to no intervention for children aged five years and under
Summary of findings 4. Child nutrition education interventions compared to no intervention for children aged five years and under

Child nutrition education interventions compared to no intervention for children aged 5 years and under

Patient or population: children aged 5 years and under
Setting: preschool
Intervention: child nutrition education interventions
Comparison: no intervention

Outcomes

Anticipated absolute effects* (95% CI)

Relative effect
(95% CI)

№ of participants
(studies)

Quality of the evidence
(GRADE)

Comments

Risk with no intervention

Risk with child nutrition education interventions

Short‐term impact (< 12 months) child fruit and vegetable intake

The mean short‐term impact (< 12 months) child vegetable intake frequency score was 4 (a score of 4 corresponds to consumption of vegetables 3 ‐ 4 times per week)

MD 0

238
(1 RCT)

⊕⊕⊝⊝
LOW 1 2

The only study (Baskale 2011) reported an increase in some of the fruits and vegetables assessed in the intervention group and no significant differences in the control group

The duration of follow‐up post‐intervention was 8 weeks

Cost or cost effectiveness ‐ not reported

No studies reported this outcome

Unintended adverse events ‐ not reported

No studies reported this outcome

*The risk in the intervention group (and its 95% confidence interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI).

CI: Confidence interval

GRADE Working Group grades of evidence
High quality: We are very confident that the true effect lies close to that of the estimate of the effect
Moderate quality: We are moderately confident in the effect estimate: The true effect is likely to be close to the estimate of the effect, but there is a possibility that it is substantially different
Low quality: Our confidence in the effect estimate is limited: The true effect may be substantially different from the estimate of the effect
Very low quality: We have very little confidence in the effect estimate: The true effect is likely to be substantially different from the estimate of effect

1Downgraded one level for risk of bias: high risk of bias due to lack of blinding and loss to follow‐up.
2Downgraded one level for imprecision: total sample size < 400.

Figuras y tablas -
Summary of findings 4. Child nutrition education interventions compared to no intervention for children aged five years and under
Comparison 1. Short‐term impact (< 12 months) of child‐feeding intervention versus no intervention

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Vegetable intake Show forest plot

13

1741

Std. Mean Difference (Random, 95% CI)

0.33 [0.13, 0.54]

2 Vegetable intake ‐ sensitivity analysis ‐ risk of bias Show forest plot

13

1670

Std. Mean Difference (Random, 95% CI)

0.33 [0.13, 0.54]

2.1 Low/unclear risk of bias

5

487

Std. Mean Difference (Random, 95% CI)

0.23 [0.03, 0.44]

2.2 High risk of bias

8

1183

Std. Mean Difference (Random, 95% CI)

0.37 [0.06, 0.68]

3 Vegetable intake ‐ sensitivity analysis ‐ primary outcome Show forest plot

13

1670

Std. Mean Difference (Random, 95% CI)

0.33 [0.13, 0.54]

3.1 Primary outcome of child fruit or vegetable intake

10

1331

Std. Mean Difference (Random, 95% CI)

0.45 [0.19, 0.70]

3.2 Primary outcome unclear

3

339

Std. Mean Difference (Random, 95% CI)

0.03 [‐0.19, 0.24]

4 Vegetable intake ‐ sensitivity analysis ‐ missing data Show forest plot

13

1670

Std. Mean Difference (Random, 95% CI)

0.33 [0.13, 0.54]

4.1 Low attrition or high attrition with ITT analysis

8

757

Std. Mean Difference (Random, 95% CI)

0.29 [0.10, 0.48]

4.2 High attrition and no ITT analysis

5

913

Std. Mean Difference (Random, 95% CI)

0.35 [‐0.10, 0.79]

5 Vegetable intake ‐ subgroup analysis ‐ modality Show forest plot

13

1670

Std. Mean Difference (Random, 95% CI)

0.33 [0.13, 0.54]

5.1 Face‐to‐face

11

1489

Std. Mean Difference (Random, 95% CI)

0.32 [0.09, 0.56]

5.2 Other modality

2

181

Std. Mean Difference (Random, 95% CI)

0.36 [0.06, 0.66]

6 Vegetable intake ‐ subgroup analysis ‐ setting Show forest plot

13

1670

Std. Mean Difference (Random, 95% CI)

0.33 [0.13, 0.54]

6.1 School or preschool

4

444

Std. Mean Difference (Random, 95% CI)

0.19 [‐0.02, 0.40]

6.2 Home

4

474

Std. Mean Difference (Random, 95% CI)

0.56 [0.18, 0.95]

6.3 Home + Lab

2

40

Std. Mean Difference (Random, 95% CI)

0.74 [0.09, 1.39]

6.4 Other settings

3

712

Std. Mean Difference (Random, 95% CI)

0.06 [‐0.14, 0.26]

Figuras y tablas -
Comparison 1. Short‐term impact (< 12 months) of child‐feeding intervention versus no intervention
Comparison 2. Short‐term impact (< 12 months) of parent nutrition education intervention versus no intervention

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Fruit and vegetable intake Show forest plot

11

3078

Std. Mean Difference (Random, 95% CI)

0.12 [‐0.03, 0.28]

2 Fruit and vegetable intake ‐ sensitivity analysis ‐ primary outcome Show forest plot

11

3078

Std. Mean Difference (Random, 95% CI)

0.12 [‐0.03, 0.28]

2.1 Primary outcome of child fruit or vegetable intake

8

2792

Std. Mean Difference (Random, 95% CI)

0.04 [‐0.08, 0.16]

2.2 Primary outcome unclear

3

286

Std. Mean Difference (Random, 95% CI)

0.52 [0.03, 1.00]

3 Fruit and vegetable intake ‐ sensitivity analysis ‐ missing data Show forest plot

11

3078

Std. Mean Difference (Random, 95% CI)

0.12 [‐0.03, 0.28]

3.1 Low attrition or high attrition with ITT analysis

7

2518

Std. Mean Difference (Random, 95% CI)

0.12 [‐0.00, 0.24]

3.2 High attrition and no ITT analysis

4

560

Std. Mean Difference (Random, 95% CI)

0.07 [‐0.45, 0.59]

4 Fruit and vegetable intake ‐ subgroup analysis ‐ modality Show forest plot

11

3078

Std. Mean Difference (Random, 95% CI)

0.12 [‐0.03, 0.28]

4.1 Face‐to‐face only

5

826

Std. Mean Difference (Random, 95% CI)

0.12 [‐0.20, 0.45]

4.2 Audio visual only

2

386

Std. Mean Difference (Random, 95% CI)

0.40 [‐0.04, 0.85]

4.3 Other modality

4

1866

Std. Mean Difference (Random, 95% CI)

0.03 [‐0.16, 0.21]

5 Fruit and vegetable intake ‐ subgroup analysis ‐ setting Show forest plot

11

3078

Std. Mean Difference (Random, 95% CI)

0.12 [‐0.03, 0.28]

5.1 Home

5

2047

Std. Mean Difference (Random, 95% CI)

0.06 [‐0.16, 0.27]

5.2 Preschool

2

243

Std. Mean Difference (Random, 95% CI)

0.43 [‐0.27, 1.13]

5.3 Other settings

4

788

Std. Mean Difference (Random, 95% CI)

0.09 [‐0.07, 0.25]

Figuras y tablas -
Comparison 2. Short‐term impact (< 12 months) of parent nutrition education intervention versus no intervention
Comparison 3. Short‐term impact (< 12 months) of multicomponent intervention versus no intervention

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Fruit and vegetable intake Show forest plot

5

2009

Std. Mean Difference (Random, 95% CI)

0.35 [0.04, 0.66]

2 Fruit and vegetable intake ‐ sensitivity analysis ‐ primary outcome Show forest plot

5

2009

Std. Mean Difference (Random, 95% CI)

0.35 [0.04, 0.66]

2.1 Primary outcome of child fruit or vegetable intake

4

1315

Std. Mean Difference (Random, 95% CI)

0.44 [‐0.00, 0.87]

2.2 Primary outcome unclear

1

694

Std. Mean Difference (Random, 95% CI)

0.12 [‐0.13, 0.38]

3 Fruit and vegetable intake ‐ sensitivity analysis ‐ missing data Show forest plot

5

2009

Std. Mean Difference (Random, 95% CI)

0.35 [0.04, 0.66]

3.1 Low attrition or high attrition with ITT analysis

3

413

Std. Mean Difference (Random, 95% CI)

0.65 [0.43, 0.88]

3.2 High attrition and no ITT analysis

2

1596

Std. Mean Difference (Random, 95% CI)

0.06 [‐0.08, 0.20]

4 Fruit and vegetable intake ‐ subgroup analysis ‐ setting Show forest plot

5

2009

Std. Mean Difference (Random, 95% CI)

0.35 [0.04, 0.66]

4.1 School or preschool

3

1608

Std. Mean Difference (Random, 95% CI)

0.07 [‐0.07, 0.20]

4.2 Other settings

2

401

Std. Mean Difference (Random, 95% CI)

0.66 [0.43, 0.89]

Figuras y tablas -
Comparison 3. Short‐term impact (< 12 months) of multicomponent intervention versus no intervention