Scolaris Content Display Scolaris Content Display

Opisywanie wartości odżywczej produktów w celu kupowania i spożywania zdrowszej żywności oraz napojów bezalkoholowych

Contraer todo Desplegar todo

Referencias

References to studies included in this review

Allan 2015 {published data only}

Allan JL, Johnston M, Campbell N. Snack purchasing is healthier when the cognitive demands of choice are reduced: a randomized controlled trial. Health Psychology 2015;34(7):750–5. CENTRAL

Balasubramanian 2002 {published data only}

Balasubramanian SK, Cole C. Consumers' search and use of nutrition information: the challenge and promise of the Nutrition Labeling and Education Act. Journal of Marketing 2002;66(3):112-27. CENTRAL [Study 3 in published paper]

Bergen 2006 {published data only}

Bergen D, Yeh M-C. Effects of energy-content labels and motivational posters on sales of sugar-sweetened beverages: stimulating sales of diet drinks among adults study. Journal of the American Dietetic Association 2006;106(11):1866-9. CENTRAL

Bollinger 2011 {published data only}

Bollinger B, Leslie P, Sorensen A. Calorie posting in chain restaurants. American Economic Journal-Economic Policy 2011;3(1):91-128. CENTRAL

Cavanagh 2014 {published data only}

Cavanagh KV, Kruja B, Forestall CA. The effect of brand and caloric information on flavor perception and food consumption in restrained and unrestrained eaters. Appetite 2014;82:1-7. CENTRAL

Chu 2009 {published data only}

Chu YH, Frongillo EA, Jones SJ, Kaye GL. Improving patrons' meal selections through the use of point-of-selection nutrition labels. American Journal of Public Health 2009;99(11):2001-5. CENTRAL
Chu YH, Frongillo EA, Jones SJ, Kaye GL. Nutrition labels at point-of-selection in a food-service operation improves patrons' meal selection. FASEB Journal 2009;23:No. 1 Supplement 336.5. CENTRAL

Cioffi 2015 {published and unpublished data}

Cioffi CE, Levitsky. An examination of the effect of nutrition labels on food purchasing behavior in Cornell dining units [Honors degree research paper]. Cornell (USA): University of Cornell, 2012. CENTRAL
Cioffi CE, Levitsky D, Pacanowski CR, Bertz F. A nudge in a healthy direction. The effect of nutrition labels on food purchasing behaviors in university dining facilities. Appetite 2015;92:7-14. CENTRAL

Crockett 2014 {published and unpublished data}

Crockett RA, Jebb S A, Hankins M, Marteau TM. The impact of nutritional labels and socioeconomic status on energy intake: an experimental field study. Appetite 2014;81:12-19. CENTRAL

Dubbert 1984 {published data only}

Dubbert PM, Johnson WG, Schlundt DG, Montague NW. The influence of caloric information on cafeteria food choices. Journal of Applied Behavior Analysis 1984;17(1):85-92. CENTRAL

Ebneter 2013 {published data only}

Ebneter D, Latner J, Nigg C. Is less always more? The effects of low fat labeling and caloric information on food intake, calorie estimates, taste preference, and health attributions. Appetite 2013;68:92-7. CENTRAL

Ellison 2013 {published data only}

Ellison B, Lusk J, Davis D. Looking at the label and beyond: the effects of calorie label, health consciousness and demographics on calorie intake in restaurants. International Journal of Behavioural Nutrition and Physical Activity 2013;10(21):1-9. CENTRAL

Ellison 2014a {published data only}

Ellison B, Lusk J, Davis D. The impact of restaurant calorie labels on food choice: results from a field experiment. Economic Inquiry 2014;52(2):666-81. CENTRAL

Girz 2012 ‐ study 1 {published data only}

Girz L, Polivy J, Herman C P, Lee H. The effects of calorie information on food selection and intake. International Journal of Obesity 2012;36(10):1340-5. CENTRAL

Girz 2012 ‐ study 2 {published data only}

Girz L, Polivy J, Herman C P, Lee H. The effects of calorie information on food selection and intake. International Journal of Obesity 2012;36(10):1340-1345. CENTRAL

Girz ongoing {unpublished data only}

Girz L. The Impact of calorie labels and a confederate on ordering behaviour. In process. CENTRAL

Hammond 2013 {published data only}

Hammond D, Goodman S, Hanning R, Danel S. A randomised trial of calorie labeling on menus. Preventive Medicine 2013;57(6):860-6. CENTRAL
NCT01948752. Clinical trial of menu labeling. clinicaltrials.gov/ct2/show/NCT01948752 (first received 24 September 24 2013). CENTRAL

Harnack 2008a {published data only}

Harnack LJ, French SA, Oakes JM, Story MT, Jeffery RW, Rydell SA. Effects of calorie labeling and value size pricing on fast food meal choices: results from an experimental trial. International Journal of Behavioral Nutrition and Physical Activity2008;5(63):[13 p.]. CENTRAL
NCT00127660. Effect of nutrition labeling on fast food choices. clinicaltrials.gov/ct2/show/NCT00127660 (first received 8 August 2005). CENTRAL

Holmes 2013 {published data only}

Holmes AS, Serrano EL, Machin JE, Duetsch T, Davis GC. Effect of different children's menu labeling designs on family purchases. Appetite 2013;62:198-202. CENTRAL

James 2015 {published data only}

James A, Adams-Huet MS, Shah M. Menu labels displaying the kilocaloric content or the exercise equivalent: effects on energy ordered and consumed in young adults. American Journal of Health Promotion 2015;29(5):294-302. CENTRAL

Kral 2002 {published data only}

Kral TVE, Roe LS, Rolls BJ. Does nutrition information about the energy density of meals affect food intake in normal-weight women? Appetite 2002;39:137-45. CENTRAL

Platkin 2014 {published data only}

Platkin C, Yeh M-C, Hirsch K, Weiss Wiewel E, Lin C-Y, Tung H-J, et al. The effect of menu labeling with calories and exercise equivalents on food selection and consumption. BMC Obesity 2014;1:21. CENTRAL

Roberto 2010 {published data only}

NCT01626729. Facts-up-front versus traffic-light food labels. clinicaltrials.gov/ct2/show/NCT01626729 (first received 25 June 2012). CENTRAL
Roberto CA, Larsen PD, Agnew H, Baik J, Brownell KD. Evaluating the impact of menu labeling on food choices and intake. American Journal of Public Health 2010;100(2):312-8. CENTRAL

Roberto 2012 {published data only}

Roberto C A, Shivaram M, Martinez O, Boles C, Harris JL, Brownell K D. The Smart Choices front-of-package nutrition label. Influence on perceptions and intake of cereal. Appetite 2012;58:651-7. CENTRAL

Temple 2010 {published data only}

Temple JL, Johnson K, Recupero K, Suders H. Nutrition labels decrease energy intake in adults consuming lunch in the laboratory. Journal of the American Dietetic Association 2010;110:1094-7. CENTRAL

VanEpps 2016 {published data only}

NCT01473225. Can calorie labels increase caloric intake?clinicaltrials.gov/ct2/show/NCT01473225 (first received 17 November 2011). CENTRAL
VanEpps EM, Downs JS, Loewenstein G. Calorie label formats: using numeric and traffic light calorie labels to reduce lunch calories. Journal of Public Policy & Marketing 2016;35(1):26-36. CENTRAL

Vermeer 2011 {published data only}

Vermeer WM, Steenhuis IHM, Leeuwis FH, Bos AER, De Boer M, Seidell JC. View the label before you view the movie: a field experiment into the impact of portion size and Guideline Daily Amounts labelling on soft drinks in cinemas. BMC Public Health 2011;11:438. CENTRAL

Wansink 2006 ‐ study 1 {published data only}

Wansink B, Chandon P. Can "Low-Fat" nutrition labels lead to obesity? Journal of Marketing Research 2006;43(4):605-17. CENTRAL [Study 1 of three presented in the paper]

Wansink 2006 ‐ study 3 {published data only}

Wansink B, Chandon P. Can "Low-Fat" nutrition labels lead to obesity? Journal of Marketing Research 2006;43(4):605-17. CENTRAL [Study 3 of three presented in the paper]

References to studies excluded from this review

Albright 1990 {published data only}

Albright CL, Flora JA, Fortmann SP. Restaurant menu labeling: impact of nutrition information on entree sales and patron attitudes. Health Education Quarterly 1990;17(2):157-67. CENTRAL

Aron 1995 {published data only}

Aron JI, Evans RE, Mela DJ. Paradoxical effect of a nutrition labelling scheme in a student cafeteria. Nutrition Research 1995;15(9):1251-61. CENTRAL

Babio 2014 {published data only}

Babio N, Vicent P, Lopez L, Benito A, Basulto J, Salas-Salvado, J. Adolescents' ability to select healthy food using two different front-of-pack food labels: a cross-over study. Public Health Nutrition 2014;17(6):1403-9. CENTRAL

Berning 2011 {published data only}

Berning JP, Chouinard HH, McCluskey JJ. Do positive nutrition shelf labels affect consumer behavior? Findings from a field experiment with scanner data. American Journal of Agricultural Economics 2011;93:364-9. CENTRAL

Bleich 2014 {published data only}

Bleich SN, Barry CL, Gary-Webb TL, Herring BJ. Reducing sugar-sweetened beverage consumption by providing caloric information: how Black adolescents alter their purchases and whether the effects persist. American Journal of Public Health 2014;104(12):2417-24. CENTRAL

Bucher 2015 {published data only}

Bucher T, De Vlieger N, Brown H, Collins C. Do energy labels influence served portion sizes and meal composition? Annals of Nutrition and Metabolism 2015;67:147. CENTRAL

Callaghan 2010 {published data only}

Callaghan C, Mandich G, He M. Healthier snacks in school vending machines: a pilot project in four Ontario high schools. Canadian Journal of Dietetic Practice and Research 2010;71(4):186-91. CENTRAL

Cantor 2015 {published data only}

Cantor J, Torres A, Abrams C, Elbel B. Five years later: awareness of New York City's calorie labels declined, with no changes in calories purchased. Health Affairs 2015;34(11):1893-1900. CENTRAL

Cawley 2015 {published data only}

Cawley J, Sweeney MJ, Sobal J, Just DR, Kaiser HM, Schulze WD, et al. The impact of a supermarket nutrition rating system on purchases of nutritious and less nutritious foods. Public Health Nutrition 2015;18(1):8-14. CENTRAL

Chu 2012 {published data only}

Chu YH, Jones SJ, Frongillo EA, Thrasher JF, DiPietro RB. Modifying placement and simplifying menu labels in a food service operation reduces the energy content purchased by patrons. FASEB Journal 2012;26:No. 1 Supplement 32.8. CENTRAL

Chu 2014 {published data only}

Chu YH, Jones SJ, Frongillo EA, DiPietro RB, Thrasher JF. Investigating the impact of menu labeling on revenue and profit in a foodservice operation. Journal of Foodservice Business Research 2014;17:215-27. CENTRAL

Dingman 2015 {published data only}

Dingman DA, Schulz MR, Wyrick DL, Bibeau DL, Gupta SN. Does providing nutrition information at vending machines reduce calories per item sold? Journal of Public Health Policy 2015;36(1):110-22. CENTRAL

Ducrot 2016 {published data only}

Ducrot P, Julia C, Mejean C, Kesse-Guyot E, Touvier M, Fezeu LK, et al. Impact of different front-of-pack nutrition labels on consumer purchasing intentions: a randomized controlled trial. American Journal of Preventive Medicine 2016;50(5):627-36. CENTRAL

Dumanovsky 2011 {published data only}

Dumanovsky T, Huang CY, Nonas CA, Matte TD, Bassett MT, Silver LD. Changes in energy content of lunchtime purchases from fast food restaurants after introduction of calorie labelling: cross sectional customer surveys. BMJ 2011;343:d4464. CENTRAL

Elbel 2011 {published data only}

Elbel B, Gyamfi J, Kersh R. Child and adolescent fast-food choice and the influence of calorie labeling: a natural experiment. International Journal of Obesity 2011;35(4):493-500. CENTRAL

Elbel 2013a {published data only}

Elbel B, Mijanovich T, Dixon B, Kersh R, Abrams C, Weitzman B. Calorie labeling and food choice: results from Philadelphia. In: Obesity. Vol. 19. 2011:S53. CENTRAL

Elbel 2013b {published data only}

Elbel B, Taksler GB, Mijanovich T, Abrams CB, Dixon LB. Promotion of healthy eating through public policy: a controlled experiment. American Journal of Preventive Medicine 2013;45(1):49-55. CENTRAL

Ellison 2014 {published data only}

Ellison B, Lusk JL, Davis D. The effect of calorie labels on caloric intake and restaurant revenue: evidence from two full-service restaurants. Journal of Agricultural and Applied Economic 2014;46(2):173-91. CENTRAL

Engbers 2006 {published data only}

Engbers LH, Van Poppel MNM, Paw MCA, Van Mechelen W. The effects of a controlled worksite environmental intervention on determinants of dietary behavior and self-reported fruit, vegetable and fat intake. BMC Public Health 2006;6:253. CENTRAL

Finkelstein 2011 {published data only}

Finkelstein EA, Strombotne KL, Chan NL, Krieger J. Mandatory menu labeling in one fast-food chain in King County, Washington. American Journal of Preventive Medicine 2011;40:122-7. CENTRAL

Freedman 2009 {published data only}

Freedman MR, Mishra S. Effect of Point of Selection Nutrition Information (POSNI) on Food Choices in an All-You-Care-to-Eat University Dining Facility. Obesity 2009;17:S161-S162. CENTRAL

Giesen 2011 {published data only}

Giesen JC, Payne CR, Havermans RC, Jansen A. Exploring how calorie information and taxes on high-calorie foods influence lunch decisions. American Journal of Clinical Nutrition 2011;93(4):689-94. CENTRAL

Gittelsohn 2013 {published data only}

Gittelsohn J, Kim EM, He S, Pardilla M. A food store-based environmental intervention is associated with reduced BMI and improved psychosocial factors and food-related behaviors on the Navajo nation. Journal of Nutrition 2013;143(9):1494-500. CENTRAL

Gomez 2015 {published data only}

Gomez P, Werle COC, Corneille O. The pitfall of nutrition facts label fluency: easier-to-process nutrition information enhances purchase intentions for unhealthy food products. Marketing Letters 2015;28(1):15-27. CENTRAL

Graham 2017 {published data only}

Graham DJ, Lucas-Thompson RG, Mueller MP, Jaeb M, Harnack L. Impact of explained v. unexplained front-of-package nutrition labels on parent and child food choices: a randomized trial. Public Health Nutrition 2017;20(5):774-85. CENTRAL

Hassan 2010 {published data only}

Hassan LM, Shiu EM, Michaelidou N. The influence of nutrition information on choice: the roles of temptation, conflict and self-control. Journal of Consumer Affairs 2010;44:499-515. CENTRAL

Helfer 2014 {published data only}

Helfer P, Shultz TR. The effects of nutrition labeling on consumer food choice: a psychological experiment and computational model. Annals of the New York Academy of Sciences 2014;1331:174-185. CENTRAL

Hobin 2015 {published data only}

Hobin E, Sacco J, Vanderlee L, Rosella L, L'Abbe M, Bollinger B, Manson H, Hammond D. Can an on-shelf nutrition labelling system improve the nutritional quality of food purchases in supermarkets? Canadian Journal of Diabetes 2015;39(S1):S32. CENTRAL

Hoerr 1993 {published data only}

Hoerr S M, Louden V A. Can nutrition information increase sales of healthful vended snacks? Journal of School Health 1993;63:386-90. CENTRAL

Holmes 2011 {published data only}

Holmes A, Serrano E, Davis G. The effect of alternative nutrition menu labels on children's meals purchases and parent-child decision-making. In: Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania, Agricultural and Applied Economics Association, No 103816. 2011. CENTRAL

Kiesel 2013 {published data only}

Kiesel K, Villas-Boas SB. Can information costs affect consumer choice? Nutritional labels in a supermarket experiment. International Journal of Industrial Organization 2013;31(2):115-63. CENTRAL
Kiesel K. What do I buy now? Essays on consumer response to food labeling. Dissertation Abstracts International Section A: Humanities and Social Sciences 2009;69(9-A):3668. CENTRAL

Kocken 2012 {published data only}

Kocken PL, Eeuwijk J, Van Kesteren NMC, Dusseldorp E, Buijs G, Bassa-Dafesh Z, et al. Promoting the purchase of low-calorie foods from school vending machines: a cluster-randomized controlled study. Journal of School Health 2012;82(3):115-22. CENTRAL

Koenigstorfer 2014 {published data only}

Koenigstorfer J, Groeppel-Klein A, Kamm F. Healthful food decision-making in response to traffic light color-coded nutrition labeling. Journal of Public Policy and Marketing 2014;33(1):65-77. CENTRAL

Krieger 2013 {published data only}

Krieger JW, Chan NL, Saelens BE, Ta ML, Solet D, Fleming DW. Menu labeling regulations and calories purchased at chain restaurants. American Journal of Preventive Medicine 2013;44:595-604. CENTRAL

Lassen 2014 {published data only}

Lassen AD, Beck A, Leedo E, Andersen EW, Christensen T, Mejborn H, et al. Effectiveness of offering keyhole labelled meals in improving the nutritional quality of lunch meals eaten in worksite canteens. Appetite 2014;75:128-134. CENTRAL

Mathios 2000 {published data only}

Mathios AD. Socioeconomic factors, nutrition, and food choices: an analysis of the salad dressing market. Journal of Public Policy and Marketing 1996;15(1):45-54. CENTRAL
Mathios AD. The impact of mandatory disclosure laws on product choices: an analysis of the salad dressing market. Journal of Law and Economics 2000;43(2):651-77. CENTRAL

McNeill 2014 {published data only}

McNeill R, Odishoo E, Seesaengnom D. The efficacy of different nutrition labels for improving healthier food choices. International Journal of Behavioral Medicine 2014;21:S77. CENTRAL

NCT01604954 {published and unpublished data}

NCT01604954. Does food labeling influence long-term food intake and eating-related variables in women? (MENU). clinicaltrials.gov/ct2/show/NCT01604954 (first received 24 May 2012). CENTRAL

NCT02546505 {published and unpublished data}

NCT02546505. Impact of front-of-pack nutrition labelling on consumer purchases. clinicaltrials.gov/ct2/show/NCT02546505 (first received 11 September 2015). CENTRAL

Nikolaou 2014a {published data only}

Nikolaou CK, Lean ME, Hankey C. Calorie-labelling in catering outlets: acceptability and impacts on food sales. Preventive Medicine 2014;67:160-5. CENTRAL

Nikolaou 2014b {published data only}

Nikolaou C, Lean M, Hankey C. Can calorie labels nudge the 'Freshman 15' phenomenon away? Obesity Reviews 2014;15:184-5. CENTRAL

Nikolaou 2016 {published data only}

Nikolaou CK, Hankey CR, Lean ME. Effects of calorie labelling on macro- and micro-nutrients in main-meal choices made by young adults. European Journal of Clinical Nutrition 2016;70(3):386-92. CENTRAL

Pulos 2010 {published data only}

Pulos E, Leng K. Evaluation of a voluntary menu-labeling program in full-service restaurants. American Journal of Public Health 2010;100(6):1035-9. CENTRAL

Reale 2016 {published data only}

Reale S, Flint SW. Menu labelling and food choice in obese adults: a feasibility study. BMC Obesity 2016;3:17. CENTRAL

Sacks 2009 {published data only}

Sacks G, Rayner M, Swinburn B. Impact of front-of-pack 'traffic-light' nutrition labelling on consumer food purchases in the UK. Health Promotion International 2009;24(4):344-52. CENTRAL

Sacks 2011 {published data only}

Sacks G, Tikellis K, Millar L, Swinburn B. Impact of 'traffic-light' nutrition information on online food purchases in Australia. Australian and New Zealand Journal of Public Health 2011;35(2):122-6. CENTRAL

Sato 2013 {published data only}

Sato JN, Wagle A, McProud L, Lee L. Food label effects on customer purchases in a hospital cafeteria in northern california. Journal of Foodservice Business Research 2013;16:155-68. CENTRAL

Schmitz 1986 {published data only}

Schmitz MF, Fielding JE. Point-of-choice nutritional labeling - evaluation in a work site cafeteria. Journal of Nutrition Education1986;18(2):S65-8. CENTRAL

Schucker 1992 {published data only}

Schucker RE, Levy AS, Tenney JE, Mathews O. Nutrition shelf labeling and consumer purchase behavior. Journal of Nutrition Education 1992;24(2):75-81. CENTRAL

Schwartz 2012 {published data only}

Schwartz J, Riis J, Elbel B, Ariely D. Inviting consumers to downsize fast-food portions significantly reduces calorie consumption. Health Affairs 2012;31(3):399-407. CENTRAL

Seward 2016 {published data only}

Seward MW, Block JP, Chatterjee A. A traffic-light label intervention and dietary choices in college cafeterias. American Journal of Public Health 2016;106(10):1808-14. CENTRAL

Sharma 2011 {published data only}

Sharma S, Wagle A, Sucher K, Bugwadia N. Impact of point of selection nutrition information on meal choices at a table-service restaurant. Journal of Foodservice Business Research 2011;14:146-61. CENTRAL

Stutts 2011 {published data only}

Stutts MA, Zank GM, Smith KH, Williams SA. Nutrition information and children's fast food menu choices. Journal of Consumer Affairs 2011;45:52-86. CENTRAL

Sutherland 2010 {published data only}

Sutherland LA, Kaley LA, Fischer L. Guiding stars: the effect of a nutrition navigation program on consumer purchases at the supermarket. American Journal of Clinical Nutrition 2010;91(4):1090S-4S. CENTRAL

Temple 2011a {published data only}

Temple JL, Johnson KM, Archer K, LaCarte A, Yi C, Epstein LH. Influence of simplified nutrition labeling and taxation on laboratory energy intake in adults. Appetite 2011;57:184-92. CENTRAL

Temple 2011b {published data only}

Temple JL, Johnson KM, Archer K, LaCarte A, Yi C, Epstein LH. Influence of simplifies nutrition labeling and taxation on laboratory energy intake in adults. Appetite 2011;57:184-192. CENTRAL

Thorndike 2014 {published data only}

Thorndike AN, Riis J, Sonnenberg LM, Levy DE. Traffic-light labels and choice architecture promoting healthy food choices. American Journal of Preventive Medicine 2014;46(2):143-9. CENTRAL

Thorndike 2015 {published data only}

Thorndike A, Levy DE, Macias-Navarro L, Franckle RL, Rimm EB. Traffic-light labels and financial incentives reduce purchase of sugar-sweetened beverages by low-income, Latino families: a randomized controlled trial. Circulation 2015;131(S1):A34. CENTRAL

Trudel 2015 {published data only}

Trudel R, Murray KB, Kim S, Chen S. The impact of traffic light color-coding on food health perceptions and choice. Journal of Experimental Psychology Applied 2015;21(3):255-75. CENTRAL

Vadiveloo 2011 {published data only}

Vadiveloo MK, Dixon LB, Elbel B. Consumer purchasing patterns in response to calorie labeling legislation in New York City. International Journal of Behavioral Nutrition and Physical Activity 2011;8(51):[9 p.]. CENTRAL

Volkova 2014 {published data only}

Volkova E, Neal B, Rayner M, Swinburn B, Eyles H, Jiang Y, et al. Effects of interpretive front-of-pack nutrition labels on food purchases: protocol for the Starlight randomised controlled trial. BMC Public Health 2014;14:968. CENTRAL

Vyth 2011 {published data only}

Vyth EL, Steenhuis IHM, Heymans MW, Roodenburg AJC, Brug J, Seidell JC. Influence of placement of a nutrition logo on cafeteria menu items on lunchtime food Choices at Dutch work sites. Journal of the American Dietetic Association 2011;111(1):131-6. CENTRAL

Wang 2016 {published data only}

Wang EY, Wei HL, Caswell JA. The impact of mandatory trans fat labeling on product mix and consumer choice: a longitudinal analysis of the US Market for margarine and spreads. Food Policy 2016;64:63-81. CENTRAL

Wardle 1994 {published data only}

Wardle J, Solomons W. Naughty but nice: a laboratory study of health information and food preferences in a community sample. Health Psychology 1994;13(2):180-3. CENTRAL

Webb 2011 {published data only}

Webb KL, Solomon LS, Sanders J, Akiyama C, Crawford PB. Menu labeling responsive to consumer concerns and shows promise for changing patron purchases. Journal of Hunger and Environmental Nutrition 2011;6(2):166-78. CENTRAL

Whitaker 1994 {published data only}

Whitaker RC, Wright JA, Koepsell TD, Finch AJ, Psaty BM. Randomized intervention to increase children's selection of low-fat foods in school lunches. Journal of Pediatrics 1994;125(4):535-40. CENTRAL

ACTRN12614000964617 {unpublished data only}

ACTRN12614000964617. The effects of four front-of-pack labelling schemes compared to standard Nutrition Information Panel, on the healthiness of food Purchases among adult Australian consumers [The effects of four front-of-pack labelling schemes compared to standard Nutrition Information Panel, on mean nutrient profiling score of food purchases among the adult Australian consumers: A Randomised Trial]. www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=366945 (first received 21 August 2014). CENTRAL

Australian Dept Health and Aging 2013

Department of Health and Aging (Australia). Final Communiqué - Legislative and Governance Forum on Food Regulation. 2013. www.health.gov.au/internet/ministers/publishing.nsf/Content/mr-yr13-sn-sn014.htm (accessed prior to 20 November 2017).

Balshem 2011

Balshem H, Helfand M, Schunemann HJ, Oxman AD, Zunz R, Brozek J, et al. GRADE guidelines: 3. Rating the quality of evidence. Journal of Clinical Epidemiology 2011;64(4):401-6.

Bleich 2017

Bleich SN, Economos CD, Spiker ML, Vercammen KA, VanEpps EM, Block JP, Elbel B, Story M, Roberto CA. A systematic review of calorie labeling and modified calorie labeling interventions: impact on consumer and restaurant behavior. Obesity (Silver Spring) 2017;25(12):2018-2044.

Blewett 2011

Blewett N, Goddard N, Pettigrew S, Reynolds C, Yeatman H. Labelling logic: review of food labelling law and policy. Canberra: Commonwealth of Australia, 2011. Available at www.foodlabellingreview.gov.au/internet/foodlabelling/publishing.nsf/content/labelling-logicGovernment Report.

Brownell 2006

Brownell K, Yach D. Lessons from a small country about the global obesity crisis. Globilization and Health 2006;2(1):11.

Campos 2011

Campos S, Doxey J, Hammond D. Nutrition labels on pre-packaged foods: a systematic review. Public Health Nutrition 2011;14(8):1496-1506.

Cantu‐Jungles 2017

Cantu-Jungles TM, McCormack LA, Slaven JE, Slebodnik M, Eicher-Miller HA. A meta-analysis to determine the impact of restaurant menu labeling on calories and nutrients (ordered or consumed) in U.S. adults. Nutrients 2017;9(1088):18 p.

Cecchini 2016

Cecchini M, Warin L. Impact of food labelling systems on food choices and eating behaviours: a systematic review and meta-analysis of randomized studies. Obesity Reviews 2016;17(3):201-10.

Cochrane Public Health Review Group 2010

Cochrane Public Health Group. Developing a Cochrane Protocol. In: Jackson N. Systematic Reviews of Health Promotion and Public Health Interventions. Cochrane Collaboration, 2010. Available at ph.cochrane.org/sites/ph.cochrane.org/files/uploads/HPPH_systematic_review_handbook.pdf.

Cohen 1988

Cohen J. Statistical Power Analysis in the Behavioural Sciences. 2nd edition. Hillsdale (NJ): Lawrence Erlbaum Associates Inc., 1988.

Commonwealth of Australia 2016

About Health Star Ratings. healthstarrating.gov.au/internet/healthstarrating/publishing.nsf/Content/About-health-stars (accessed prior to 20 November 2017).

Cowburn 2005

Cowburn G, Stockley L. Consumer understanding and use of nutrition labelling: a systematic review. Public Health Nutrition 2005;8(1):21-8.

Das 2012

Das P, Horton R. Rethinking our approach to physical activity. Lancet 2012;380(9838):189–90.

Deeks 2011

Deek JJ, Higgins JPT, Altman DG. Chapter 9: Analysing data and undertaking meta-analyses. In: Higgins JPT, Green S, editors(s). Cochrane Handbook for Systematic Reviews of interventions. Wiley-Blackwell, 2011:243-296.

DeGroot 2012

DeGroot MH, Schervish MJ. Probability and Statistics. 4th edition. Boston: Addison-Wesley, 2012.

Dobbs 2014

Dobbs R, Sawers C, Thompson F, et al. Overcoming obesity: An initial economic analysis. McKinsey Global Institute, 2014. http://www.mckinsey.com/insights/economic_studies/how_the_world_could_better_fight_obesity (accessed prior to 20 November 2017).

EEC 1990

European Commission. Council Directive 90/496/EEC on nutrition labelling for foodstuffs of 24 September 1990. Official Journal of the European Communities1990:40-4.

EPHPP 2010

Effective Public Health Practice Project. Quality assessment tool for quantitative studies. 2010. www.ephpp.ca/PDF/Quality%20Assessment%20Tool_2010_2.pdf (accessed prior to 20 November 2017).

EPOC 2015

EPOC. Effective Practice and Organisation of Care (EPOC). EPOC Resources for review authors. Oslo: Norwegian Knowledge Centre for the Health Services. Available at epoc.cochrane.org/epoc-specific-resources-review-authors2015.

EUFIC 2013

European Food Information Council. Global update on nutrition labelling. 2013. www.eufic.org (accessed prior to 20 November 2017).

European Commission 2011

European Commission. Provision of Food Information to Consumers - Proposed Legislation. 2011. ec.europa.eu/food/food/labellingnutrition/foodlabelling/proposed_legislation_en.htm (accessed prior to 20 November 2017).

European Union 2011

European Union. Regulation (EU) No 1169/2011 Of the European Parliament and of the Council of 25 October 2011. Official Journal of the European Union L304 of November2011:18-63.

FDA 1994

US Food and Drug Administration. Guide to Nutrition Labelling and Education Act (NLEA) requirements. 1994. www.fda.gov/ICECI/Inspections/InspectionGuides/ucm074948.htm (accessed prior to 20 November 2017).

FDA 2016

US Food and Drug Administration. Menu and vending machines labeling requirements. 2016. www.fda.gov/Food/GuidanceRegulation/GuidanceDocumentsRegulatoryInformation/LabelingNutrition/ucm217762.htm (accessed prior to 20 November 2017).

Food Standards 2002

New Zealand (Australia New Zealand Food Standards Code) Food Standards 2002. http://www.foodsafety.govt.nz/elibrary/industry/zealand-australia-zealand-food-standards/nz-food-standards-2002.pdf.

Foresight 2007

Foresight. Tackling Obesities: Future Choices. http://www.bis.gov.uk/assets/bispartners/foresight/docs/obesity/17.pdf2007.

FTC 2016

Federal Trade Commission. Fair Packaging and Labeling Act. 2016. www.ftc.gov/enforcement/rules/rulemaking-regulatory-reform-proceedings/fair-packaging-labeling-act (accessed prior to 20 November 2017).

Grech 2015

Grech A, Allman-Farinelli M. A systematic literature review of nutrition interventions in vending machines that encourage consumers to make healthier choices. Obesity Reviews 2015;16(12):1030-41.

Grunert 2007

Grunert KG, Wills JM. A review of European research on consumer response to nutrition information on food labels. Journal of Public Health 2007;15(5):385-99.

Harnack 2008b

Harnack LJ, French SA. Effect of point-of-purchase calorie labeling on restaurant and cafeteria food choices: a review of the literature. International Journal of Behavioral Nutrition and Physical Activity 2008;5(51):[6 p.].

Health Canada 2016

Health Canada. Final amendments to the Food and Drug Regulations - Nutrition Labelling, Other Labelling Provisions and Food Colours. www.hc-sc.gc.ca/fn-an/label-etiquet/nutrition/reg/index-eng.php (accessed prior to 20 November 2017).

Higgins 2011

Higgins JPT, Altman DG, Sterne JA. Chapter 8: Assessing risk of bias in included studies. In: Higgins JPT, Green S, editors(s). Cochrane Handbook for Systematic Reviews of Interventions. Wiley-Blackwell, 2011:187-241.

Hollands 2013a

Hollands GJ, Shemilt I, Marteau TM, Jebb SA, Kelly MP, Nakamura R, et al. Altering micro-environments to change population health behaviour: towards an evidence base for choice architecture interventions. BMC Public Health 2013a;13:1218.

Hollands 2013b

Hollands GJ, Shemilt I, Marteau TM, Jebb SA, Kelly MP, Nakamura R, et al. Altering Choice Architecture to Change Population Health Behaviour: a Large-Scale Conceptual and Empirical Scoping Review of Interventions Within Micro-Environments. Cambridge: University of Cambridge, 2013.

Hollands 2015

Hollands GJ, Shemilt I, Marteau TM, Jebb SA, Lewis HB, Wei Y, et al. Portion, package or tableware size for changing selection and consumption of food, alcohol and tobacco. Cochrane Database of Systematic Reviews 2015, Issue 9. Art. No: CD011045. [DOI: 10.1002/14651858.CD011045.pub2]

Hollands 2016

Hollands GJ, Marteau TM, Fletcher PC. Non-conscious processes in changing health-related behaviour: a conceptual analysis and framework. Health Psychology Review 2016;10(4):381-94.

Hollands 2017a

Hollands GJ, Carter P, Shemilt I, Marteau TM, Jebb SA, Higgins J, et al. Altering the availability or proximity of food, alcohol and tobacco products to change their selection and consumption. Cochrane Database of Systematic Reviews 2017, Issue 3. Art. No: CD012573. [DOI: 10.1002/14651858.CD012573]

Hollands 2017b

Hollands GJ, Bignardi G, Johnston M, Kelly MP, Ogilvie D, Petticrew M, et al. The TIPPME intervention typology for changing environments to change behaviour. Nature Human Behaviour 2017;1:0140.

Horgen 2002

Horgen KB, Brownell KD. Comparison of price change and health message interventions in promoting healthy food choices. Health Psychology 2002;21(5):505-12.

Malam 2009

Malam S, Clegg S, Kiwan S, McGinigal S, BMRB Social Research. Comprehension and use of UK nutritional signpost labelling schemes. 2009. www.food.gov.uk/multimedia/pdfs/pmpreport.pdf (accessed prior to 20 November 2017).

Marteau 2012

Marteau TM, Hollands GJ, Fletcher PC. Changing human behaviour to prevent disease: the importance of targeting automatic processes. Science 2012;337(6101):1492–5.

Marteau 2015

Marteau TM, Hollands GJ, Shemilt I, Jebb SA. Downsizing: policy options to reduce portion sizes to help tackle obesity. BMJ 2015;351:h5863.

Mhurchu 2007

Mhurchu C, NiGorton D. Nutrition labels and claims in New Zealand and Australia: a review of use and understanding. Australian & New Zealand Journal of Public Health 2007;31(2):105-12.

National Centre for Social Research 2012

National Centre for Social Research. National Diet andNutrition Survey Years 1-4, 2008/09-2011/12. London: National Centre for Social Research, 2012.

Newton 2015

Newton JN, Briggs ADM, Murray CJL, Dicker D, Foreman KJ, Wang H et al. Changes in health in England, with analysis by English regions and areas of deprivation, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet 2015;386(10010):2257–74.

Ng 2014

Ng M, Fleming T, Robinson M, Thomson B, Graetz N, Margono C, et al. Global, regional, and national prevalence of overweight and obesity in children and adults during 1980–2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet 2014;384(9945):766-81.

Nordic Council of Ministers 2016

About keyhole. www.norden.org/en/nordic-council-of-ministers/council-of-ministers/nordic-council-of-ministers-for-fisheries-and-aquaculture-agriculture-foodstuffs-and-forestry-mr-fjls/keyhole-nutrition-label/about-keyhole (accessed prior to 20 November 2017).

Obesity Policy Coalition 2014

Obesity Policy Coalition. Policy brief: Kilojoule labelling in chain food outlets. 2014. www.opc.org.au/downloads/positionpapers/policy-brief-kJ-labelling-food-chain-outlets.pdf (accessed prior to 20 November 2017).

Ogden 2007

Ogden J, Karim L, Choudry A, Brown K. Understanding successful behaviour change: the role of intentions, attitudes to the target and motivations and the example of diet. Health Education Research 2007;22(3):397-405.

Public Health England 2015

Public Health England. Sugar Reduction: The Evidence for Action. London: Public Health England, 2015.

Rayner 2013

Rayner M, Wood A, Lawrence M, Mhurchu CN, Albert J, Barquera S, et al. Monitoring the health-related labelling of foods and non-alcoholic beverages in retail settings. Obesity 2013;14(Supp 1):70-81.

Reeves 2011

Reeves B, Deeks J, Higgins J, Wells G. Chapter 13: Including non-randomized studies. In: Higgins JPT, Green S, editors(s). Cochrane Handbook for Systematic Reviews of interventions. Wiley-Blackwell, 2011:391-432.

RevMan 2014 [Computer program]

Nordic Cochrane Centre, The Cochrane CollaborationReview Manager (RevMan). Version 5.3. Copenhagen: Nordic Cochrane Centre, The Cochrane Collaboration, 2014.

Schünemann 2011

Schünemann HJ, Oxman AD, Vist GE, Higgins JPT, Deeks JJ, Glasziou P, et al. Chapter 12: Interpreting results and drawing conclusions. In: Higgins JPT, Green S, editors(s). Cochrane Handbook for Systematic Reviews of Interventions. Wiley-Blackwell, 2011:259-387.

Shemilt 2017

Shemilt I, Hendry V, Marteau TM. What do we know about the effects of exposure to 'Low alcohol' and equivalent product labelling on the amounts of alcohol, food and tobacco people select and consume? A systematic review. BMC Public Health 2017;17(1):29.

Sinclair 2014

Sinclair S, Cooper M, Mansfiled E. The influence of menu labelling on calories selected or consumed: a systematic review and meta-analysis. Journal of the Academy of Nutrition and Dietetics 2014;114(9):1375-88.

Sterne 2011

Sterne J AC, Egger M, Moher D, on behalf of the Cochrane Bias Methods Group. Chapter 10: Addressing reporting biases. In: Higgins JPT, Green S, editors(s). Cochrane Handbook for Systematic Reviews of Interventions. Wiley-Blackwell, 2011:297-333.

Swartz 2011

Swartz JJ, Braxton D, Viera AJ. Calorie menu labeling on quick-service restaurant menus: an updated systematic review of the literature. International Journal of Behavioral Nutrition and Physical Activity 8;135:[8 p.].

UK Dept Health 2013

Department of Health (UK). Technical guidance on nutritional labelling. 2013. www.gov.uk/government/uploads/system/uploads/attachment_data/file/207842/2013-06-19_Nutrition_Technical_Guidance.pdf (accessed prior to 20 November 2017).

Wansink 2004

Wansink B, van Ittersum K, Painter JE. How diet and health labels influence taste and satiation. Journal of Food Science 2004;69(9):S340-6.

WHO 2004

World Health Organization. Global Strategy, on Diet, Physical Activity and Health. Geneva: World Health Organization, 2004. [www.who.int/dietphysicalactivity/en/]

WHO 2013

World Health Organisation. Global Action for the Prevention and Control of Non-communicable Disease 2013-2020. Geneva: World Health Organization, 2013. [ www.who.int/nmh/events/ncd_action_plan/en/] [http://apps.who.int/iris/bitstream/10665/94384/1/9789241506236_eng.pdf?ua=1]

WHO Obesity Fact Sheet

World Health Organization. 10 Facts on Obesity. www.who.int/features/factfiles/obesity/facts/en/index1.html (accessed prior to 20 November 2017).

Yach 2006

Yach D, Stuckler D, Brownell K. Epidemiological and economic consequences of the global epidemics of obesity and diabetes. Nature Medicine 2006;12(1):62-6.

References to other published versions of this review

Crockett 2011

Crockett RA, Hollands GJ, Jebb SA, Marteau TM. Nutritional labelling for promoting healthier food purchasing and consumption [protocol]. Cochrane Database of Systematic Reviews 2011, Issue 9. Art. No: CD009315. [DOI: 10.1002/14651858.CD009315]

Characteristics of studies

Characteristics of included studies [ordered by study ID]

Allan 2015

Study characteristics

Methods

Setting: one public coffee shop on a large academic hospital site, UK

Design: quasi‐randomised controlled trial

Recruitment: all coffee shop customers during the study period were participants

Allocation to group: sign display (or absence thereof) was allocated by week using sealed envelopes

Participants

General customers (primarily healthcare workers and university staff)

Interventions

Intervention: point‐of‐purchase signs indicating the energy content of every drink and snack (6 weeks)

Control: no point‐of‐purchase signs (6 weeks)

Outcomes

Sales of high energy snacks and drinks (presented as a proportion)

Notes

The intervention signs were displayed for 6 randomly allocated weeks over a 12‐week period. The final allocation sequence was: C‐C‐I‐C‐I‐I‐C‐C‐I‐C‐I‐I. The number of items purchased during the study period was 20,516. This study was funded by the Scottish Government's Chief Scientist's Office

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

High risk

Sign display (or absence thereof) was randomised by week. 12 envelopes containing the instructions 'I' or 'C' were selected at random by an independent observer

Allocation concealment (selection bias)

Low risk

Envelopes were sealed (no other information was reported)

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Given that intervention and comparison were in the same coffee shop, it is possible that customers, particularly repeat customers, would have observed that there was an intervention during the different weeks (not blinded)

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

The outcome (proportion of high energy drinks and snacks purchased) was objectively obtained from electronic data, so that blinding of outcome assessment was not applicable in this study

Incomplete outcome data (attrition bias)
All outcomes

Low risk

All available data were collected and analysed

Selective reporting (reporting bias)

Low risk

All relevant outcomes reported in the Methods section are reported in the Results section

Other bias

Unclear risk

Sample sizes for the intervention and control weeks were not reported (i.e. it is not clear if participant outcomes vary across the weeks of the study)

Balasubramanian 2002

Study characteristics

Methods

Setting: major grocery store chain in a large city, USA

Design: interrupted time series

Recruitment: existing sales data

Allocation to intervention: naturally occurring pre‐ and post‐Nutrition Labelling Education Act (NLEA, 1990) legislation

Participants

General customers

Interventions

Pre NLEA labelling: no enforced labelling (sample size not reported)

NLEA* labelling: 'Nutrition Facts' panel on side or back of product with descriptors on front of pack (sample size not reported)

*The NLEA regulations allowed a choice of several descriptions for a given nutrient such as 'low fat', 'reduced fat', 'light'

Overall, 2684 item sales analysed

Outcomes

Sales performance of different categories of food with various types of labels (obtained from electronic sales data)

Notes

This study was conducted from 14 September 1989 to 14 May 1997, with data collected on a weekly basis. "Sales transactions were aggregated across stores to derive the weekly category share for the healthy [products] associated with a given nutrient", and then the authors conducted a regression analysis. Data on 'low‐calorie' bottled juices, 'light' frozen entrées, and 'light' frozen dinners (i.e. items deemed to be 'calorie healthy' by the study authors) were extracted from this study. Information on funding was not reported

Risk of bias

Bias

Authors' judgement

Support for judgement

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

The outcome (sales performance of different categories of labelled food) was objectively obtained from electronic data, so that blinding of outcome assessment was not applicable in this study

Incomplete outcome data (attrition bias)
All outcomes

Unclear risk

Details of incomplete outcome data are not presented; the authors stated that "we tried to analyse the data within the constraints imposed by the pervasive problem of missing data"

Selective reporting (reporting bias)

Unclear risk

The Methods section does not specify which categories of food were to be included in the analysis

Was the intervention independent of other changes?

High risk

The authors noted that "our models do not incorporate explanatory variables such as price or other type of deals", suggesting that other changes could have occurred during the study period

Was the shape of the intervention effect pre‐specified?

Low risk

A regression model compared pre‐intervention and the post‐intervention phase, with an exact date of intervention reported. The authors provided a hypotheses specifying the expected effect of the intervention

Was the intervention unlikely to affect data collection?

Low risk

Sources and methods of data collection were the same before and after the intervention: electronic sales data

Other bias

High risk

Data from a number of stores belonging to one grocery chain were included, but it is unclear how the stores were selected. The introduction of legislation may have drawn additional attention to signposting throughout the city, not just the stores in question (thus possibly introducing a co‐intervention)

Bergen 2006

Study characteristics

Methods

Setting: university campus buildings, USA

Design: cluster‐randomised controlled trial (by vending machine)

Recruitment: convenience sample

Allocation to group: vending machines were randomly assigned but no information was reported on how this was achieved

Participants

University students and staff members

Interventions

Intervention 1: brightly coloured (colour not specified) shelf label (2 inch × 5 inch, or 5 cm × 12.5 cm) stating: "0 calorie, 0 carbs" (on water, diet and regular fizzy drinks) (n = 3 vending machines)

Intervention 2: brightly coloured shelf label stating "0 calorie, 0 carbs" plus a motivational poster encouraging the purchase of water and non‐energy‐containing soft drinks (n = 3 vending machines)

Control: vending machines in similar location to the intervention machines selling similar but unlabelled drinks (n = 2 vending machines)

Outcomes

Sales of water, diet and regular fizzy drinks (soda)

Notes

This study had a 2‐week baseline period, a 5‐week intervention period, and a 2‐week post‐intervention period. Results from intervention 2 did not meet inclusion criteria for this review so were not included. Data on sales of diet soda extracted from this study. This project was funded in part by the Dorothy Epstein Nutrition Fellows award

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Not reported. The authors only stated that "the vending machines were randomly assigned to one of three conditions"

Allocation concealment (selection bias)

Unclear risk

Not reported

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Given that intervention and comparison machines were on the same university campus, it is possible that participants would have observed that there were different labels at different machines (not blinded)

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

The outcome (mean number of drinks sold) was objectively obtained from electronic data, so that blinding of outcome assessment was not applicable in this study

Incomplete outcome data (attrition bias)
All outcomes

Low risk

It appears that all available data were collected and analysed: "the totals of each type of beverage sold and machine revenue were electronically tracked at each location at the end of each period"

Selective reporting (reporting bias)

Low risk

All relevant outcomes reported in the Methods section are reported in the Results section

Other bias

High risk

The mean number of drinks sold at baseline from comparison vending machines was substantially lower than in the intervention vending machine

Bollinger 2011

Study characteristics

Methods

Setting: 222 New York City (NYC) Starbucks coffee shops before‐and‐after NYC energy labelling legislation and 94 comparison stores in Boston and Philadelphia, USA

Design: controlled before‐and‐after study (treated as an ITS as data were collected from multiple time points before and after the intervention)

Recruitment: convenience sample of Starbucks customers

Allocation to group: naturally occurring NYC legislation with Boston and Philadelphia as comparisons

Participants

Customers at Starbucks coffee shops

Interventions

Intervention: energy (kcal) information on menus and menu boards in a font and format that was at least as prominent as price (sample size not reported)

Control: no energy information on menus and menu boards (sample size not reported)

Outcomes

Energy (kcal) from food and drinks per transaction, obtained from electronic sales data and 'Starbucks card' holder data

Notes

The authors collected data for all transactions "for a period of time 3 months before and 11 months after energy posting commenced (i.e., January 1, 2008–February 28, 2009). There are over 100 million transactions in the data set." The data were analysed by the authors using regression analysis. Figure 1 in the paper also presents the time series data in graphical form for food and drinks separately. We extracted regression information on combined data for food and drinks. Information on funding was not reported

Risk of bias

Bias

Authors' judgement

Support for judgement

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

The outcome (mean kcal per transaction) was objectively obtained from electronic data, so that blinding of outcome assessment was not applicable in this study

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Given that the authors observed "every transaction at Starbucks company stores in NYC from January 1, 2008 to February 28, 2009", it appears that the data set are complete

Selective reporting (reporting bias)

Low risk

All relevant outcomes reported in the Methods section are reported in the Results section

Was the intervention independent of other changes?

Low risk

The authors did not mention if any other historic events occurred during the study period, but they addressed other potentially confounding variables in regression analyses, including seasonality, day‐of‐week, holiday times, and climate. In addition, "to control for other factors affecting transactions, [the authors] also observe every transaction at Starbucks company stores in Boston and Philadelphia, where there was no calorie posting"

Was the shape of the intervention effect pre‐specified?

Low risk

A regression model compared pre‐intervention and the post‐intervention phase, with an exact date of intervention reported

Was the intervention unlikely to affect data collection?

Low risk

Sources and methods of data collection were the same before and after the intervention: electronic sales data

Other bias

Low risk

No other potential threats to validity identified

Cavanagh 2014

Study characteristics

Methods

Setting: university campus, USA

Design: randomised controlled trial

Recruitment: recruited through an introductory psychology course; participants received a course credit for participation

Allocation to groups: no information on sequence generation was reported (the authors only stated that they used a 2 × 2 × 3 between subjects design)

Participants

188 female undergraduate students, overall mean age not reported; 70.7% were Caucasian (understood to be white), 15.4% African‐American and 13.9% Asian

Interventions

Intervention 1: Kashi logo (a brand associated with 'healthful' eating) and a nutrition facts label with low energy (kcal) information (i.e. 130 kcal – the actual amount of kcal in each cookie) (n = 31)

Intervention 2: Kashi logo and nutrition facts label with high energy (kcal) information (i.e. 260 kcal – twice the actual amount of kcal in each cookie) (n = 32)

Control 1: Kashi logo and no nutrition facts label (n = 31)

Intervention 3: Nabisco logo (a brand associated with 'unhealthful' eating) and nutrition facts label with low energy (kcal) information (i.e. 130 kcal – the actual amount of kcal in each cookie) (n = 31)

Intervention 4: Nabisco logo and nutrition facts label with high energy (kcal) information (i.e. 260 kcal – twice the actual amount of kcal in each cookie) (n = 32)

Control 2: Nabisco logo and no nutrition facts label (n = 31)

Outcomes

Mean grams consumed assessed by weighing the portion served and portion remaining

Notes

Each participant was given three oatmeal and dark chocolate chip cookies, each of which was broken in half (i.e. all participants actually received a Kashi cookie that was 130 kcal, even though some were labelled as Nabisco cookies). In a post hoc analysis by the study authors, data were combined for intervention 1 and 3, and compared with combined control 1 and 2 (no label control groups). This is the data we have extracted for this review. Information on funding was not reported.

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Not reported. The authors only stated that "participants were ... randomly assigned to one of the two brand conditions and one of the three calorie information conditions before they arrived at the laboratory"

Allocation concealment (selection bias)

Unclear risk

Not reported

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

The participants were told that the purpose of the study was to examine taste‐perceptions in snack foods. Personnel are likely to have been aware of the different labels and which participants saw which labels

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

The outcome (mean grams of cookies eaten) was objectively assessed, so that blinding of outcome assessment was not applicable in this study

Incomplete outcome data (attrition bias)
All outcomes

Low risk

It appears that all participants were included in the analyses

Selective reporting (reporting bias)

Low risk

All relevant outcomes reported in the Methods section are reported in the Results section. Additional post hoc analyses were also presented

Other bias

Low risk

No other potential threats to validity identified

Chu 2009

Study characteristics

Methods

Setting: university dining centre, USA

Design: interrupted time series

Recruitment: convenience sample of customers

Allocation to group: none, set periods for each intervention stage

Participants

Customers (largely college students) at a university dining centre

Interventions

Pre‐intervention: no energy information; entrée descriptions posted on a 31 inch × 37 inch (79 cm × 94 cm) board for a 14‐day period (n = 13,951 entrées sold)

Intervention: information on energy, serving size, fat (grams), protein (grams) and carbs (grams) on a menu board (5 inch × 3 inch – or 12.7 × 7.6 cm – board) (n = 14,199 entrees sold)

Post‐intervention: no energy information; entrée descriptions posted on 8.5 inch × 11 inch (21.6 cm × 27.9 cm) floor stand as typically in cafeteria before study (n = 14,020 entrées sold)

Outcomes

Energy content of entrées sold per day (e.g. salads, soups, sandwiches, deli foods, pizza, and other hot entrées), assessed by electronically collected sales data, with nutritional content calculated using software

Notes

12 hot entrées were targeted in this study (not specified). It was conducted between 25 October and 8 December 2004. The study involved a 14‐day pre‐intervention period, a 14‐day intervention period, and a 13‐day postintervention period. Data points were reported for each day (41 days). The authors used 'piecewise' regression to "test differences in average daily energy content of entrées purchased by dining center patrons for pretreatment vs treatment period and treatment vs posttreatment period." Figure 1 in the paper also presents the time series data in graphical form. Information on funding was not reported

Risk of bias

Bias

Authors' judgement

Support for judgement

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

The outcome (mean energy content of the entrées purchased) was objectively obtained from electronic data, so that blinding of outcome assessment was not applicable in this study

Incomplete outcome data (attrition bias)
All outcomes

Low risk

There was no attrition

Selective reporting (reporting bias)

Low risk

All relevant outcomes reported in the Methods section are reported in the Results section

Was the intervention independent of other changes?

Low risk

The authors stated that "there were no other dining centres in the campus offering nutrition information, no campus‐wide nutrition education promoting the use of nutrition labels was active at the time of the study, and there was no known extraneous event occurring at about same time that could have changed purchasing behaviour."

Was the shape of the intervention effect pre‐specified?

Low risk

A regression model compared the pre‐intervention and post‐intervention phases. The authors provided a hypotheses specifying the expected effect of the intervention

Was the intervention unlikely to affect data collection?

Low risk

Sources and methods of data collection were the same before and after the intervention: electronic sales data

Other bias

Low risk

No other potential threats to validity identified

Cioffi 2015

Study characteristics

Methods

Setting: 20 dining centres on a campus of Cornell University, USA

Design: interrupted time series

Recruitment: convenience sample of customers

Allocation to group: none, set periods for intervention

Participants

Customers at a university dining centre

Interventions

Pre‐labelling: no nutritional labelling of pre‐packaged "Fresh‐Take" meals and snacks (sample size not reported)

Labelling: 'Nutrition Facts' labels on pre‐packaged meals and snacks, including information on serving size, energy, energy from fat, total fat, saturated fat, transfat, total cholesterol, sodium, total carbohydrates (including dietary fibre and sugars), and protein (sample size not reported)

Outcomes

Energy purchased per week assessed from electronically collected sales data

Notes

63 (unspecified) food items were labelled. This study was conducted for 3 semesters pre‐labelling (fall 2006, spring 2007 and fall 2007) and 3 semesters post‐labelling (spring 2008, fall 2008 and spring 2009). The final result was a 12‐week set of data for each semester (3 data points before and 3 date points after the intervention). "Mixed models were used to determine if there was a significant trend or a difference in the proportion of sales within the sample (the dependent variables) based on calories or fat." Figure 1 in the paper also presents the time series data in graphical form. The authors stated the study was supported by funds provided by DNS, Cornell University

Risk of bias

Bias

Authors' judgement

Support for judgement

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

The outcome (mean total kcal purchased) was objectively obtained from electronic data, so that blinding of outcome assessment was not applicable in this study

Incomplete outcome data (attrition bias)
All outcomes

High risk

Sales data for locations unavailable at second time point excluded and not accounted for. Target items not available at all locations for the whole period (18/63; 28%) were also excluded from the analysis. No information was provided as to whether excluded locations were similar to included locations in terms of customer base and sales

Selective reporting (reporting bias)

High risk

Outcome data from some target items that were not available at all locations for the whole study period were excluded from the analysis

Was the intervention independent of other changes?

High risk

The authors noted that "with data observed over many weeks and at various locations, it was impossible to control for all external factors or events that might have occurred over the entire length of the study."

Was the shape of the intervention effect pre‐specified?

Low risk

The point of analysis is the point of intervention. The study was exploratory with no predictions as to the direction of the effect

Was the intervention unlikely to affect data collection?

Low risk

Sources and methods of data collection were the same before and after the intervention: electronic sales data

Other bias

Low risk

The authors noted that their analysis was "weakened by the lack of information about the changes in purchasing patterns and sales data among all available foods (labelling, non‐labelling, pre‐packaged, or customised) before and after the nutrition labels were added to our sample"

Crockett 2014

Study characteristics

Methods

Setting: a cinema in south London, UK

Design: randomised controlled study

Recruitment: on street recruitment by interviewers from a research agency

Allocation to group: a random number generator was used to assign participants to condition

Participants

325 participants were randomised, of whom 38 were excluded

51% were aged 18‐34 years, 36% were male, 37% were weight concerned, and 50% were overweight or obese

Interventions

Intervention 1: green 'low fat' label on the side of a bag of toffee or salted popcorn (n = 103)

Intervention 2: red 'high fat' label on the side of a bag of toffee or salted popcorn (n = 96)

The bags of popcorn were given to the participants as they entered the cinema

Control: no label (n = 88)

Outcomes

Popcorn consumption as an absolute objective measure of energy (kcal)

Notes

Six sets of results were presented by the study authors (3 treatment conditions × 2 types of popcorn). In our meta‐analysis, data were extracted for red 'high fat' label vs no label (combining data on salted and toffee popcorn consumption). We also extracted data on the 'low fat label' vs no label to evaluate potential harm, as the popcorn (both salted and toffee) served in this cinema was considered to be a high‐fat snack food. Subgroup analyses were conducted by the study authors to explore impact of weight concern, body weight and social deprivation on the effect of labels on consumption. The study was funded by a National Institute for Health Research Postdoctoral Fellowship award

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Pre‐determined random number sequence. Participants were given study numbers on the basis of the order in which they arrived at the cinema

Allocation concealment (selection bias)

Low risk

Researchers giving out the cards with the study numbers did not know the randomisation for that number. Another researcher then allocated the participants to a group based on the number on their card

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

Participants were not aware of the true purpose of the study, nor that researchers were going to assess their consumption. Study personnel were aware of allocation of participants when explaining the study. However, one of three researchers explained the intervention to each of the three groups, minimising the opportunity for one researcher to treat participants differently according to group. Additionally, the same script was used by all personnel regardless of which group they were dealing with

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Assessors were aware of group allocation when assessing energy consumption, but food intake measurement appears to have been objective (weight of popcorn left over from a serving), so lack of blinding may not have influenced the results

Incomplete outcome data (attrition bias)
All outcomes

Low risk

325 participants were recruited, 38 (12%) of whom were excluded from the analyses of the effect of labelling on consumption due to multiple attendances (n = 14), not leaving their popcorn bags (n = 13) or for failure to consume any popcorn (n = 11)

Selective reporting (reporting bias)

Low risk

All relevant outcomes reported in the Methods section are reported in the Results section. A protocol was provided by the lead author and the primary outcome reported (relevant to this systematic review) and is presented in the published paper

Other bias

Low risk

No other potential threats to validity identified

Dubbert 1984

Study characteristics

Methods

Setting: cafeteria located near a large medical centre and between a business area and middle‐class residential neighbourhood, USA

Design: interrupted time series

Recruitment: convenience sample; seated customers were approached and asked if they would be willing to answer a few questions about the foods they selected during peak Tuesday hours of 5.30‐7.30 pm

Allocation to group: customer clusters of evening sessions, with each intervention having 3 sessions for a total of 15 sessions

Participants

Cafeteria customers

Interventions

Baseline: no labels (sample size not reported)

Intervention: 'Lower calorie selection' labels on bright green paper with a bright red dot on the upper right‐hand corner and placed near food items (sample size not reported)

'Baseline 2': no labels (sample size not reported)

Outcomes

The probability of choosing low energy food items (entrées, vegetables and salads) was assessed using electronic register sales data. Energy (kcal) content was calculated by the study authors using a caloric estimate list

Notes

The authors stated that "purchases of more than 14,300 entrees, vegetables, and salads by 6,970 customers were unobtrusively monitored via the cash register inventory control system during 15 evening observations." (15 time points were reported). The authors stated that a "linear logistic regression analysis was used to compute chi‐square tests of the overall effects of labelling and food type (vegetable, salad, entrées) on the probability of choosing a low calorie food". Figure 1 in the paper also presents the time series data in graphical form. Information on funding was not reported

Risk of bias

Bias

Authors' judgement

Support for judgement

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

The outcome (probability of purchasing low energy items from each of three food categories) was objectively obtained from electronic data, so that blinding of outcome assessment was not applicable in this study

Incomplete outcome data (attrition bias)
All outcomes

Low risk

It appears that all observations were included in the analysis

Selective reporting (reporting bias)

Low risk

All relevant outcomes reported in the Methods section are reported in the Results section

Was the intervention independent of other changes?

Unclear risk

No information was provided on confounding variables/historic events during the study period

Was the shape of the intervention effect pre‐specified?

Low risk

The point of analysis included the point of intervention

Was the intervention unlikely to affect data collection?

Low risk

The sources and methods of data collection were the same before and after the intervention: electronic data

Other bias

High risk

The data collection periods were very limited comprising 15 Tuesday evenings between 5.30 and 7.30 pm. Although the full opening hours and days for the cafeteria are not given, these periods may represent only a small proportion of the sales at the cafeteria

Ebneter 2013

Study characteristics

Methods

Setting: university campus, USA

Design: randomised controlled trial

Recruitment: advertised as a market research study; participants received a course credit for participation

Allocation to groups: no information on sequence generation was reported

Participants

175 female undergraduate students of the University of Hawaii, mean age 20.86 (4.32) years. 71.8% were in the normal weight range, 14.4% were overweight, 6.3% were obese, and 7.5% were underweight (BMI ≤ 18.5 kg/m²)

Interventions

Intervention 1: label stating "new colours of low fat M&M's 240 calories, 1.69 oz [28.3 g], ~55 M&M's" (n = 47)

Control 1: label stating "new colour of low fat M&M's" with no energy information (n = 49)

Intervention 2: label stating "new colours of regular M&M's, 240 calories per serving, 1.69 oz [28.3 g], ~55 M&M's" (n = 41)

Control 2: label stating "new colours of regular M&M's" with no energy information (n = 38)

Outcomes

Energy (kcal) consumption assessed by weighing portion served and portion remaining and calculating energy contained in the portion consumed

Notes

It is not clear how many sessions were conducted to complete this study, or where the study was conducted on campus. Data were extracted on intervention 2 vs control 2, and potential harms were considered by extracting data from control 1 (as M&M's were not actually low fat) vs control 2. Information on funding was not reported

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Not reported. The authors only stated that participants "were randomly assigned to one of four experimental conditions."

Allocation concealment (selection bias)

Unclear risk

Not reported

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

Participants were told that the study was a taste‐rating exercise for market research and were thus unaware of the nature of the study. Personnel are likely to have been aware of the different labels and which participants saw which labels

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Not reported, but food intake measurement appears to have been objective (weight of M&M's left over from a serving), so lack of blinding may not have influenced the results

Incomplete outcome data (attrition bias)
All outcomes

High risk

Although 224 participants were recruited and participated, 175 (78%) were able to recall the label they saw and were included in the analysis. The rates of participants randomised to each group were not reported, so that attrition rates across groups are uncertain

Selective reporting (reporting bias)

Low risk

All relevant outcomes reported in the Methods section are reported in the Results section

Other bias

Low risk

No other potential threats to validity identified

Ellison 2013

Study characteristics

Methods

Setting: a restaurant at Oklahoma State University campus, USA

Design: randomised controlled study

Recruitment: convenience sample of diners attending the restaurant

Allocation to groups: the restaurant was split into three sections, each with a unique menu treatment. Upon arrival, a party of diners were randomly assigned to a table in one of the three sections

Participants

Restaurant customers (N = 138 observations); 70% were aged 18‐34.9 years, 18% were aged 35‐54.9 years, and 12% were older than 55; 56% were female; 63% were university students; 44% had an annual income less than USD 25,000, 40% had an income between USD 25,000 and 99,999

Interventions

Intervention 1: menu with energy information (kcal) in parentheses before each item's price (n = 54)

Intervention 2: menu with energy information (kcal) in parentheses before each item's price plus a green, yellow, or red traffic light symbol indicating specific energy level ranges (n = 54)

Control: menu with no nutritional information (n = 30)

Outcomes

Energy (kcal) purchased, calculated from receipts

Notes

Diners could choose from 51 menu options including soups, salads, burgers, sandwiches, pasta, vegetarian dishes, meat dishes as well as deserts and drinks. Survey data were collected for 2 weeks during the 2010 fall semester. Data were combined for intervention 1 and intervention 2 and compared with the control. Information on funding was not reported

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

The authors only reported that "patrons were randomly assigned to one of three menu treatments"

Allocation concealment (selection bias)

Unclear risk

It is not clear who allocated the customers, or how allocation how participant allocation was concealed

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

The authors stated that the diners were unaware their dining choices had been recorded, however, personnel working in the restaurant would know which section of the restaurant the diners were randomised to

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Not reported, but outcome seems to have been objective (energy (kcal) purchased, calculated from receipts collected by researchers), so lack of blinding may not have influenced the results

Incomplete outcome data (attrition bias)
All outcomes

Unclear risk

It is not stated how many were randomised ‐ only that there were 138 observations

Selective reporting (reporting bias)

Low risk

All relevant outcomes reported in the Methods section are reported in the Results section

Other bias

Unclear risk

Data were collected during a short observation period (2 weeks)

Ellison 2014a

Study characteristics

Methods

Setting: a restaurant at the Oklahoma State University campus, USA

Design: randomised controlled trial

Recruitment: convenience sample of diners attending the restaurant

Allocation to groups: the restaurant was split into three sections, each with a unique menu treatment. Upon arrival, a party of diners were randomly assigned to a table in one of the three sections

Participants

Restaurant customers (N = 1532 usable observations); no participant characteristics were reported

Interventions

Intervention 1: menu with energy information (kcal) in parentheses before each item's price (n = 469 usable observations)

Intervention 2: menu with energy information (kcal) in parentheses before each item's price plus a green, yellow, or red traffic light symbol indicating specific energy level ranges (n = 591 usable observations)

Control: menu with no nutritional information (n = 472 usable observations)

Outcomes

Energy (kcal) purchased, calculated from receipts

Notes

This study also included a price manipulation experiment; we extracted data reported over the entire experiment, including all observations regardless of the price of the food. Diners could choose from 51 menu options including soups, salads, burgers, pasta and meat dishes. Data were collected over a 19‐week period (August to November 2010). Data were combined for intervention 1 and intervention 2 and compared with the control. Information on funding was not reported

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

High risk

The authors only reported that "upon entering the restaurant, a lunch‐party was randomly assigned to one of three menu treatments." The authors noted that people assigned to the energy plus traffic light treatment group were in a section of the restaurant with booth seating, which some parties requested to have (so not all participants may have been randomised)

Allocation concealment (selection bias)

Unclear risk

It is not clear who allocated the customers, or how participant allocation was concealed

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

The authors stated that the restaurant patrons were unaware of the study, and that waiting staff were instructed to refrain from telling diners about the study. Personnel working in the restaurant would know what section of the restaurant the diners were randomised to

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Not reported, but outcome seems to have been objective (energy (kcal) purchased, calculated from receipts collected by researchers), so lack of blinding may not have influenced the results

Incomplete outcome data (attrition bias)
All outcomes

Unclear risk

The total number of eligible observations was not reported, only that there were 1532 'usable' observations

Selective reporting (reporting bias)

Low risk

All relevant outcomes reported in the Methods section are reported in the Results section

Other bias

Low risk

No other potential threats to validity identified

Girz 2012 ‐ study 1

Study characteristics

Methods

Setting: university laboratory, Canada

Design: randomised controlled study

Recruitment: students enrolled in introductory psychology who consented to participation in the study

Allocation to groups: a random number generator was used to assign participants to condition

Participants

Female psychology (university) students (n = 149). Mean age 19.11 (SD 1.82) years. 87 were restrained eaters and 62 were unrestrained eaters

Interventions

Intervention 1: energy label on menu indicating low‐energy salad (600 kcal) and high‐energy pasta (1200 kcal) ‐ although both salad and pasta were 1200 kcal (n = 51)

Intervention 2: energy label on menu indicating high‐energy salad (1200 kcal) and low‐energy pasta (600 kcal) ‐ although both salad and pasta were 1200 kcal (n = 47)

Control: menu with no energy information (n = 49)

Outcomes

Energy (kcal) consumed. No details were reported as to how these measurements were made

Notes

The duration of study was not reported. Subgroup analysis was conducted by the study authors to explore the impact of the intervention in more and less restrained eaters. The Restraint Scale was used to categorise participants as restrained eaters (scoring 15 or higher) or unrestrained eaters (scoring below 15). Data from intervention 1 and 2 were extracted for those who chose pasta or salad when it was mislabelled as '600 kcal', and analysed together vs control to measure potential harm. Information on funding was not reported

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Random number generator used

Allocation concealment (selection bias)

Unclear risk

Not reported

Blinding of participants and personnel (performance bias)
All outcomes

Unclear risk

Participants were told that they would be rating a potential new menu item for a local restaurant. As this information was given to students in a psychology course by researchers, participants may have suspected that researchers were interested in some other outcome. Participants were debriefed to assess whether they guessed the nature of the study, but it is not clear what the outcome of this was

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

No information reported on blinding or how outcome was assessed

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Data incomplete, numbers reported in one table suggest two participants lost from the analyses, although this is a small number so unlikely to bias results

Selective reporting (reporting bias)

Low risk

All relevant outcomes reported in the Methods section are reported in the Results section

Other bias

Low risk

No other potential threats to validity identified

Girz 2012 ‐ study 2

Study characteristics

Methods

Setting: university laboratory, Canada

Design: randomised controlled trial

Recruitment: students enrolled in introductory psychology who consented to participation in the study

Allocation to groups: a random number generator was used to assign participants to condition

Participants

Undergraduate students (n = 254) enrolled in the introductory psychology class. 138 (54%) females and 116 males (45.7%)

Mean age of females was 18.69 (2.87) years and of males was 18.71 (1.79) years

Interventions

Intervention 1: energy label on menu indicating low‐energy salad (400 kcal) and high‐energy pasta (1200 kcal) or high‐energy salad (1200 kcal) and low‐energy pasta (400 kcal) ‐ although both salad and pasta were 1200 kcal (n = 128)

Intervention 2: energy label on menu indicating high‐energy salad (1200 kcal) and high‐energy pasta (1200 kcal) plus information on the recommended daily energy intake of 2000 kcal for women and 2400 kcal for men, presented at the bottom of the menu (n = 60)

Control: menu with no energy information (n = 66)

Outcomes

Energy consumed, with no detail as to how these measurements were made

Notes

Duration of study was not reported. Subgroup analysis was conducted by the study authors to explore the impact of the intervention in more and less restrained eaters. The Restraint Scale was used to categorise participants as restrained eaters (scoring 15 or higher) or unrestrained eaters (scoring below 15). The effect of labelling on males and females also explored. Data were extracted for intervention 2 vs control. We did not include intervention 1 in this review as it involved mislabelling some of the foods, and data were not reported separately on consumption of foods that were accurately labelled and consumption of foods that were mislabelled. Information on study funding was not reported

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Random number generator used

Allocation concealment (selection bias)

Unclear risk

Not reported

Blinding of participants and personnel (performance bias)
All outcomes

Unclear risk

Participants were told that they would be rating a potential new menu item for a local restaurant. As this information was given to students in a psychology course by researchers, participants may have suspected that researchers were interested in some other outcome. Participants were debriefed to assess whether they guessed the nature of the study, but it is not clear what the outcome of this was

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

No information reported on blinding or how outcome was assessed

Incomplete outcome data (attrition bias)
All outcomes

Low risk

No attrition evident from tables; all participants accounted for

Selective reporting (reporting bias)

Low risk

All relevant outcomes reported in the Methods section are reported in the Results section

Other bias

Low risk

No other potential threats to validity identified

Girz ongoing

Study characteristics

Methods

Setting: university laboratory, Canada

Design: randomised controlled trial

Recruitment: students enrolled in introductory psychology who consented to participation in the study

Allocation to groups: a random number generator was used to assign participants to condition

Participants

Undergraduate psychology students (n = 49 included in the analysis)

Interventions

Intervention: foods (pizza, soup) presented with energy labels (n = 24)

Control: foods (pizza, soup) presented without energy labels (n = 25)

Outcomes

Energy (kcal) consumption

Notes

Unpublished study; the authors provided study data. This study comprised six study groups with combinations of interventions in terms of labelling and ordering behaviour. Only two groups described above were eligible for inclusion in this review

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Random number generator used

Allocation concealment (selection bias)

Unclear risk

Not reported

Blinding of participants and personnel (performance bias)
All outcomes

Unclear risk

Not reported

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Not reported

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Full data provided for all those allocated in intervention and comparison

Selective reporting (reporting bias)

Unclear risk

Not reported

Other bias

Unclear risk

Not enough methodological information was reported to asses if there were other potential sources of bias

Hammond 2013

Study characteristics

Methods

Setting: university, Canada

Design: randomised controlled trial

Recruitment: via newspaper, online and bus advertisements

Allocation to group: no information on sequence generation was reported

Participants

666 adults from Ontario (Canada), of whom 31 were excluded. Of those included, 36% were aged 18‐34 years, 49% were aged 35‐65 years, and 15% were aged over 65. 71% were white and 17% had no more than high school education, 64% had a college or university education and 19% had postgraduate level education

Interventions

Intervention 1: menu with energy information (kcal) (n = 165)

Intervention 2: menu with energy (kcal) content using a traffic light format, indicating whether the energy content was high (red), medium (orange) or low (green) (n = 156)

Intervention 3: menu with energy (kcal), fat, salt, and sugar information using a traffic light format for each item (n = 152)

Control: menu with no nutritional information (n = 162)

Outcomes

Consumption of energy (kcal), fat, salt and sugar assessed by weighing food served and food remaining after consumption and estimating energy and nutrients in what was consumed based on nutritional content of choices given by the retailer

Notes

No detailed information regarding where the study took place (other than at a university), but it was a separate location from the fast food chain (Subway) where food was purchased on behalf of the participants. The study was conducted between November 2010 and June 2011. Data were combined for Interventions 1, 2 and 3, and compared with the control. This study was funded by a research grant from the Canadian Cancer Society Research Institute

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Not reported. The authors only stated that "participants were randomised to receive one of four menus". One study menu was implemented on each evening that the study ran with the study menus being implemented on a recurring sequence from one to four. It is not stated whether participants were randomised to receive a particular menu (rather than to a particular evening) nor whether a random allocation sequence was used

Allocation concealment (selection bias)

Unclear risk

Not reported

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

The authors stated that "participants were blinded to the study condition." There was no information on blinding of personnel; however it seems unlikely that they could be blinded from the knowledge of which intervention was being implemented on a given evening

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Not reported, but outcome seems to have been objective (weighing food), so lack of blinding may not have influenced the results

Incomplete outcome data (attrition bias)
All outcomes

Low risk

31/666 (5%) participants were excluded from the analysis: 26 for not ordering a meal and 5 for missing data or for failing to meet the study protocol (excluded participants were not reported by treatment group). This low exclusion rate was unlikely to have affected the results

Selective reporting (reporting bias)

Low risk

All relevant outcomes reported in the Methods section are reported in the Results section. This study was registered with ClinicalTrials.gov (NCT01948752), and the outcomes reported are presented in the published paper

Other bias

Low risk

No other potential threats to validity identified

Harnack 2008a

Study characteristics

Methods

Setting: community‐conference rooms at local hotels and the basement of a church (settings where the experiment took place, but not part of the experiment per se), USA

Design: randomised controlled trial

Recruitment: advertisements in local newspapers and flyers in community locations and in person at high schools

Allocation to groups: no information on sequence generation was reported

Participants

Adolescents and adults recruited from suburban and urban populations in the local community including a high school whose students regularly ate fast food. Total number of participants recruited is not given although 605 participants completed the study procedures, of whom 301 were in the two study groups included in this review

Age: 16‐25 years: 25% (n = 147); 26‐40 years: 19% (n = 115), 41‐60 years: 42% (n = 248); > 60 years: 14% (n = 84)

Gender: male 41% (n = 241), female 59% (n = 353)

Ethnicity: Hispanic/Latino 3% (n = 20); Non‐Hispanic/Latino, 97% (n = 567)

Interventions

Intervention 1: menu with energy (kcal) information on a bright yellow background plus recommendation of daily energy intake for men and women in a box on the right‐hand bottom corner of the menu (n = 151)

Intervention 2: menu with no energy label, but with value pricing (the unit cost decreases as portion size increases) (n = 143)

Intervention 3: menu with energy (kcal) information plus recommendation of daily energy intake (as above) and value pricing (n = 150)

Control: menu with no energy labelling and no value pricing (n = 150)

Outcomes

Nutrient composition of meal purchased and consumed: absolute measure of the energy and nutritional content (fat, saturated fat, carbohydrate, protein, fibre, vitamin C and calcium) were calculated using a food composition table available from the McDonald's corporation in combination with the gram weight information for the amount of each food item selected and consumed

Notes

Participants chose items available from a McDonalds lunch/dinner menu, and research staff drove to nearby McDonald's restaurant to purchase meals ordered by the participants. Study sessions were held on weekday and weekend evenings (4:50 pm to 7:30 pm) between October 2005 and April 2006. Subgroup analyses were conducted by the study authors for: men and women; those who reported seeing the intervention menus and those who did not; those who reported that nutrition was important to them and those who did not; and those who reported that price was important to them and those who did not. Information about randomisation and raw data for subgroup analyses requested, but no response from author. Data were extracted on intervention 1 vs control. Interventions 2 and 3, which involved a price component, were not eligible for inclusion in this review. The research was supported by a NIDDK grant

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Not reported. The authors only stated that "a randomised controlled 2 × 2 factorial experiment was conducted...".

Allocation concealment (selection bias)

Unclear risk

Not reported

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

Participants were blinded to the purpose of the study through a cover story. At the end they were questioned to ascertain whether they had noticed the menu manipulations and ascertained the purpose of the study. There is no indication as to whether personnel were blinded to allocated intervention

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Not reported, but outcome seems to have been objective (weighing food), so lack of blinding may not have influenced the results

Incomplete outcome data (attrition bias)
All outcomes

Low risk

605 participants are reported to have completed the study procedures, and of these, 11 (1.8%) were excluded from the analysis because "they knew before participating in the study that calories might be listed or price would be modified on the menu, or knew that they would not have to pay for their meal." No information was reported regarding the number of participants who dropped out in each group. This low exclusion rate was unlikely to have affected the results

Selective reporting (reporting bias)

Low risk

All relevant outcomes reported in the Methods section are reported in the Results section

Other bias

Low risk

No other potential threats to validity identified

Holmes 2013

Study characteristics

Methods

Setting: restaurant at a country club, USA

Design: interrupted time series design

Recruitment: all children's meals sold during study period were included in the analysis

Allocation to groups: none, set periods for intervention

Participants

Participants were those buying children's meals at the restaurant of a family‐oriented private club

Interventions

Intervention 1: menu with energy (kcal) and fat (gram) information (sample size not reported).

Intervention 2: healthy (apple) symbol on menu to denote 'healthier' choices (sample size not reported).

Intervention 3: Nutrition Bargain Price (NBP) on menu. "The NBP equals the monetary price divided by a nutrition scaling factor (completeness score). By adjusting the price by nutritional quality, a more immediate indicator of the nutritional cost/reward of the combination, is provided." (sample size not reported)

Control: no nutritional information on menu (sample size not reported)

Overall, 1275 meals analysed

Outcomes

Changes in purchasing of energy and fat in children's meals as a consequence of nutritional labelling

Notes

The study was conducted from October 2010 to May 2011 with two month pre‐intervention and two month post‐intervention periods. Patrons could buy combo meals, such as chicken and fries, mini cheese pizza and fruit salad, grilled cheese and potato chips, spaghetti and fresh fruit, hotdog and applesauce, or a corn dog with carrots and celery ‐ or an a la carte menu including a peanut butter and jelly sandwich, spaghetti with butter or a cheeseburger, with the following sides: pretzels or celery and peanut butter. The authors conducted regression analysis, with corrections to account for sales from repeat customers, and the likely correlation between such sales. Data were extracted on intervention 1 vs control. Interventions 2 and 3 were not eligible for inclusion in this review. Funding was received from the Virginia Tech College of Agriculture and Life Sciences

Risk of bias

Bias

Authors' judgement

Support for judgement

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

The outcome (total energy and fat selected by families) was objectively obtained from electronic data, so that blinding of outcome assessment was not applicable in this study

Incomplete outcome data (attrition bias)
All outcomes

Low risk

It appears that all observations were included in the analysis

Selective reporting (reporting bias)

Low risk

All relevant outcomes reported in the Methods section are reported in the Results section

Was the intervention independent of other changes?

Unclear risk

No information was provided on confounding variables/historic events during the study period

Was the shape of the intervention effect pre‐specified?

Low risk

The point of analysis included the point of intervention

Was the intervention unlikely to affect data collection?

Low risk

The sources and methods of data collection were the same before and after the intervention: electronic data

Other bias

Low risk

No other potential threats to validity identified

James 2015

Study characteristics

Methods

Setting: 2 private dining rooms located within a university, USA

Design: randomised controlled study

Recruitment: via word of mouth, flyers placed around the university campus, university newsletter

Allocation: no information on sequence generation was reported

Participants

Customers attending a dining room who were between 18 and 30 years of age. Demographic information for the total sample is not reported, but the percentage of females across the group varied between 54% and 57%, between 85% and 95% were white and between 74% and 79% were college students

Interventions

Intervention 1: menu with energy (kcal) information plus information on recommended daily energy intake for women and men (n = 99)

Intervention 2: each menu item presented with the number of minutes brisk walking required to burn off the energy in the item (n = 102)

Control: menu with no energy information (n = 99)

Outcomes

Energy consumed during the meal assessed by weighing the food served before and after consumption

Notes

All menus contained the same fast food and beverage options including burgers, salads, a chicken sandwich, chicken nuggets, chicken strips, french fries, desserts, condiments, water, and a choice of sodas. The study was conducted from January to June 2012. Data were extracted on Intervention 1 vs control. Intervention 2 was not eligible for inclusion in this review as it did not present data on nutrient content. The study was partly supported by a Graduate Senate grant from the university

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Random number generator used to generate stratified randomisation sequence (author communication)

Allocation concealment (selection bias)

Unclear risk

It is not clear whether the random sequence was concealed from personnel

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

The authors stated that participants were blinded to the study purpose. It is not stated whether the personnel would have known the group to which participants were randomised, but it would seem likely as they would see the menu given to each participant and so would be aware of how these varied

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Not reported, but outcome seems to have been objective (weighing food), so lack of blinding may not have influenced the results

Incomplete outcome data (attrition bias)
All outcomes

Low risk

All 300 participants randomised completed the intervention and there is no indication of missing data for the outcome of interest in this review

Selective reporting (reporting bias)

Low risk

All relevant outcomes reported in the Methods section are reported in the Results section

Other bias

Low risk

No other potential threats to validity identified

Kral 2002

Study characteristics

Methods

Setting: university campus laboratory, USA

Design: quasi‐randomised controlled study

Recruitment: campus newspaper

Allocation to group: participants were assigned to groups based on the day of the week that they were available for their sessions

Participants

40 healthy weight women aged 18‐32 years

Interventions

Intervention: label (110 mm × 120 mm), which was colour‐coded according to the level of energy density; the label included information on level of energy density (low, medium, or high), the actual value of energy density (1.25 kcal/g, 1.50 kcal/g, or 1.75 kcal/g), and the weight (g) and energy content per serving (n = 20)

Control: no labels (n = 20)

Outcomes

Daily energy intake from main entrées (breakfast, lunch and dinner); food was weighed to assess the consumption in grams and kJ

Notes

Each meal included a main entrée, which was manipulated in energy density, and several low‐energy compulsory foods, which were standard in amount and type across all test sessions. Entrées consisted of an Apple Bake Crisp for breakfast, a pasta salad with yogurt dressing for lunch, and a pasta bake for dinner. The authors stated that "test sessions were scheduled on the same day of the week for four weeks." Subject group and condition of energy density (low, medium, high) were entered as fixed factors in the model, and subjects were treated as a random factor. In the meta‐analyses we entered the data assessing the effect of nutritional labelling on energy (kcal) consumption of a high‐energy meal. The study was supported by the National Institutes of Health grants

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

High risk

Quasi‐randomised. Participants were assigned to one of two groups (information or no‐information group) based on the day of the week that they were available for their sessions

Allocation concealment (selection bias)

Unclear risk

Not reported

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Thirteen subjects (65%) in the information group correctly discerned that the purpose of the study was to investigate the influence of energy density on the amount of food eaten – none guessed in control group

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Not reported, but outcome seems to have been objective (weighing food), so lack of blinding may not have influenced the results

Incomplete outcome data (attrition bias)
All outcomes

Low risk

No dropouts during study, with 2 participants withdrawing before study started

Selective reporting (reporting bias)

Low risk

All relevant outcomes reported in the Methods section are reported in the Results section

Other bias

Low risk

No other potential threats to validity identified

Platkin 2014

Study characteristics

Methods

Setting: university conference room, USA

Design: randomised controlled trial

Recruitment: on a university campus through announcements in lectures and through electronic bulletin boards

Allocation to groups: randomised using a random number generator

Participants

Overweight or obese women (n = 62)

Mean age: 21.87 (SD 3.03), range 18‐33

Ethnicity: 45.16% Hispanic or Latino; 27.42% Black/African American; 4.84% Caribbean non‐Hispanics; 8.06% Asian/Pacific Islander; 3.23% white Non‐Hispanic; 9.68% mixed race; 1.61% don't know/not sure

Mean BMI: 28.42 kg/m² (SD 3.10)

Education: 82% of all participants had a high school degree/equivalency, some college or a 2‐year college degree

Interventions

Intervention 1: menu with energy (kcal) information (n = 20)

Intervention 2: menu with energy (kcal) information and with exercise equivalents (n = 20)

Control: menu with no energy information (n = 22)

Outcomes

Energy (kcal) consumption during a meal; measured by weighing leftover food

Notes

Food offered was fast food from Burger King. Participants attended twice for baseline and intervention meal.

Subgroup analysis was conducted by the study author for restrained vs unrestrained eaters. A repeated measures analysis of variance was conducted. Data were combined from intervention 1 and 2 and compared with the control. This study was a thesis dissertation

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Random number generator used

Allocation concealment (selection bias)

Unclear risk

Not reported

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

Participants were told that the study would assess factors influencing eating habits at fast food restaurants. Efforts were made to minimise contact between participants and thus the possibility of observation of differences in labelling provided. Researchers would have been aware of allocation when providing the menus

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Not reported, but outcome seems to have been objective (weighing food), so lack of blinding may not have influenced the results

Incomplete outcome data (attrition bias)
All outcomes

Low risk

No evident attrition from cited participant numbers at both time points

Selective reporting (reporting bias)

Low risk

All relevant outcomes reported in the Methods section are reported in the Results section

Other bias

Low risk

No other potential threats to validity identified

Roberto 2010

Study characteristics

Methods

Setting: university classroom in a building not related to eating, USA

Design: randomised controlled trial

Recruitment: word of mouth, newspaper advertisements and Internet postings

Allocation to groups: a random number generator produced randomisation lists stratified by sex

Participants

Members of the general public in New Haven, Connecticut (n = 295)

Female: 50%

Mean age: 30.5 (SD 12.4) years

Ethnicity: 54.6% white

Education: 3.8% less than a high school education, 11.4% completed high school or general equivalency diploma (GED), 32.2% completed some college, 30.1% completed 4 years of college, and 22.5% had a graduate degree

Interventions

Intervention 1: menu with energy (kcal) information in column to right of menu item (n = 97, n =92 included in the analysis)

Intervention 2: menu with energy (kcal) information in column to right of menu item plus information about recommended daily energy intake given at the top of the menu: ''The recommended daily caloric intake for an average adult is 2000 calories'' (n = 110, n = 103 included in the analysis)

Control: menu with no energy information (n = 96, n = 92 included in the analysis)

Outcomes

Energy (kcal) consumed during a meal; objectively assessed using restaurant supplied information to assess energy content of meal ordered and then subtracting energy content of food remaining after the meal – where necessary weighing remaining portions

Notes

Participants could choose items from menus from 2 restaurants (Au Bon Pain and a local, non‐chain restaurant). Menu items included all salads, dressings, sandwiches, wraps, and selected beverages and desserts from Au Bon Pain, and also mozzarella sticks, french fries, pizza, hamburgers, and cheesecake from the local restaurant. The study took place between June and August of 2009. Data were combined from intervention 1 and 2 and compared with the control. The study was funded by grants from the Rudd Foundation and the Robert Wood Johnson Foundation

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

A randomisation list was used

Allocation concealment (selection bias)

Unclear risk

Not reported

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

The purpose of the study in investigating nutritional labelling was concealed from participants with a cover story. The different interventions were hidden from participants as the study took place in partitioned spaces. It is not clear if personnel were blinded

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Not reported, but outcome seems to have been objective (weighing food), so lack of blinding may not have influenced the results

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Low dropout with reasons given: 6/96 (6%) lost to follow‐up in no energy label group; 4/97 (4%) lost to follow‐up in energy label group; 9/110 (8%) lost to follow‐up in energy + information group. Of 303 randomised participants, 295 (97%) were included in the analysis

Selective reporting (reporting bias)

Low risk

All relevant outcomes reported in the Methods section are reported in the Results section

Other bias

Low risk

No other potential threats to validity identified

Roberto 2012

Study characteristics

Methods

Setting: university laboratory 'not affiliated with eating or weight research', USA

Design: randomised controlled trial

Recruitment: via flyers, word of mouth, and craigslist.com postings

Allocation to groups: randomly generated allocation sequence, stratified by gender

Participants

Members of the general public (n = 243)

Mean age 26 (SD 10) years, range 18‐72 years, 63% female, 59% Caucasian (understood to be white), 22% Asian, 11% African‐American, 4% Hispanic, and 4% reported 'other'

Mean BMI 23.2 (SD 4.52), 22% of sample obese

Education: 42% had attended some college, 27% had a four year college degree, 22% had a graduate degree, 4% had a 2‐year college degree, 4% had a high school/GED degree only and 1% did not complete high school

Interventions

Intervention 1: front‐of‐package standard smart choices label including a green check mark, the statement 'Smart Choices Program Guiding Food Choices,' and the information: "120 calories per serving and 11 servings per package" (n = 76 analysed)

Intervention 2: front‐of‐package modified Smart Choices logo which included a green check mark, the statement 'Smart Choices Program Guiding Food Choices,' and the following information: "120 calories per 3/4 cup serving and 11 servings per package" (n = 71 analysed)

Control: no label (n = 69 analysed)

Outcomes

Grams of cereal and milk consumed; measured by weighing each participant's cereal box

Notes

The participants were offered a breakfast cereal during the experiment. The study was conducted between August 2007 and August 2008. Data were combined from intervention 1 and 2 and compared with the control. The study was supported in part by funding from the Rudd Foundation

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Random number generator was used

Allocation concealment (selection bias)

Unclear risk

Not reported

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

Participants were told they would be taking part in a focus group about the cereal in front of them and would have a chance to eat the cereal (so blinded to the purpose of the study), but it is unclear whether personnel were blinded

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Not reported, but outcome seems to have been objective (weighing food), so lack of blinding may not have influenced the results

Incomplete outcome data (attrition bias)
All outcomes

Low risk

27/243 (11%) participants were excluded because they correctly identified that the study was testing the influence of nutrition information on their perceptions and/or behaviour. Data were not reported by group although the authors stated that the "proportion of individuals excluded did not differ significantly across study conditions (p = .451)"

Selective reporting (reporting bias)

Low risk

All relevant outcomes reported in the Methods section are reported in the Results section

Other bias

Low risk

No other potential threats to validity identified

Temple 2010

Study characteristics

Methods

Setting: university laboratory, USA

Design: randomised controlled trial

Recruitment: flyers posted on campuses

Allocation to groups: no information on sequence generation was reported

Participants

47 participants, mean age 29.9 (SD 1.5) years, 23 males and 24 females, mean BMI 25.9 (SD 0.6) kg/m², 91% had completed some college education

Interventions

Intervention: nutritional labels on foods based on US Department of Agriculture format (n = 23)

Control: no label on food (n = 24)

All participants also watched videos, either on how to read nutritional labels or about the organic food movement

Outcomes

Energy (kcal) consumed during lunch; measured by weighing leftover food

Notes

Participants were offered a buffet lunch (small salad bar, a sandwich bar, and side items including chips (crisps), chocolate bars, yogurt, fruit, water, soft drinks, white and chocolate milk, and juice). The study (involving single lunch sessions) was conducted between May and August 2009. Study data were obtained from the authors. The authors also conducted subgroup analyses for males and females. The study was funded by start‐up funds through the university

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Not reported. The authors only stated that "participants were randomly assigned to one of two video groups ... and one of two labelling conditions."

Allocation concealment (selection bias)

Unclear risk

Not reported

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

Participants were told the purpose of the study was to explore the effect of labels and a video on consumption (so blinded to the purpose of the study). No information given to suggest whether or not personnel were blind to the intervention that participants received

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Not reported, but outcome seems to have been objective (weighing food), so lack of blinding may not have influenced the results

Incomplete outcome data (attrition bias)
All outcomes

Low risk

No information to indicate that there was any data missing among those recruited

Selective reporting (reporting bias)

Low risk

All relevant outcomes reported in the Methods section are reported in the Results section

Other bias

Low risk

No other potential threats to validity identified

VanEpps 2016

Study characteristics

Methods

Setting: a large health care company, USA

Design: randomised controlled trial

Recruitment: e‐mail to randomly selected employees

Allocation to groups: no information on sequence generation was reported

Participants

249 participants (employees) who placed 901 orders, mean age 40.6 (SD 11.09) years, 60% female, mean BMI 27.5 (SD 6.19) kg/m², 81% white

Interventions

Intervention 1: traffic light labels on lunch menu items based on US Department of Agriculture guideline (n = 42)

Intervention 2: energy (kcal) content on lunch menu items (n = 38)

Intervention 3: energy (kcal) content and traffic light labels on lunch menu items (n = 46)

Control: no label on lunch menu items (n = 123)

Outcomes

Energy (kcal) ordered during lunch

Notes

Participants were required to order an online meal for which they received a USD 3 discount on each lunch ordered throughout the study (up to 3 lunch orders per week). There were 13 different meal options including sandwiches with side dishes, wraps with side dishes, and entrée‐sized salads, as well as drinks (30 different options including sodas, juices, teas and water), snacks, and desserts (e.g. chips, fresh fruit, brownies). The study was conducted over 4 weeks. The authors also conducted regression analysis by BMI, males and females, and for 'non‐dieting' and 'dieting' individuals. Data were extracted for interventions 2 and 3 (combined) vs control. Intervention 1 was not eligible for inclusion in this review as it did not present data on nutrient content. Additional study data were obtained from the authors. The study was funded by one of the author's personal research funds

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Not reported. The authors only stated that "we randomly assigned participants to one of these four menu conditions"

Allocation concealment (selection bias)

Unclear risk

Not reported

Blinding of participants and personnel (performance bias)
All outcomes

Unclear risk

Not reported

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Not reported, but outcome was objective (food purchased), so lack of blinding may not have influenced the results

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Data were reported for all participants randomised (those who placed at least one order appear to have been randomised)

Selective reporting (reporting bias)

Low risk

All relevant outcomes reported in the Methods section are reported in the Results section

Other bias

Low risk

Participants could make more than one order, so each outcome is not necessarily independent, which may inflate the SE estimate. The data received from the authors were adjusted for covariates

Vermeer 2011

Study characteristics

Methods

Setting: cinema, the Netherlands

Design: quasi‐randomised controlled trial

Recruitment: announcements in local newspapers, radio, and on the Internet. Other recruitment methods included posting flyers in mailboxes and handing out flyers

Allocation to group: allocated according to evening available

Participants

89 participants. Mean age of 50.44 (SD 12.35), 26.4% were male, 33% were overweight or obese, 50.5% had moderate educational level and 41.4% had high

Interventions

Intervention: large poster with portion size and caloric guidelines for daily amounts (GDA) information on soft drinks (n = 48)

Control: no label; different portion sizes for soft drinks were displayed indicating only the amount of millilitres that each cup contained (n = 41)

Outcomes

Soft drink consumed (mL) during film was calculated by electronic weighing of leftovers

Notes

Participants could choose between five portion sizes (200 mL, 250 mL, 400 mL, 500 mL and 750 mL cups). The study took place on two subsequent evenings during which participants could order free soft drinks. Authors were contacted to request information about the energy content of the soft drinks, but this information was not forthcoming. Information on study funding was not reported

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

High risk

Participants could select which of the two evenings they wanted to take part. On one of the evenings the intervention was implemented and the other evening was the control, but the participants were unaware of this when they chose when to participate

Allocation concealment (selection bias)

High risk

No allocation concealment

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

Potential participants were told that a marketing study was conducted into consumers' attitudes towards cinemas (so blinded to the purpose of the study). Personnel would have been aware of which participants were in the intervention and comparison groups

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Not reported, but outcome seems to have been objective (weighing food), so lack of blinding may not have influenced the results

Incomplete outcome data (attrition bias)
All outcomes

Low risk

No attrition apparent

Selective reporting (reporting bias)

Low risk

All relevant outcomes reported in the Methods section are reported in the Results section

Other bias

High risk

Data were collected on only two subsequent evenings, and the sample size is relatively small

Wansink 2006 ‐ study 1

Study characteristics

Methods

Setting: university campus, USA

Design: quasi‐randomised controlled trial

Recruitment: new students and their families visiting a display as part of a university open house were approached by a research assistant asking them to take part

Participants

269 adults aged over 18 participated. Although further demographic information were collected, no information is given about sample demographics

Interventions

Intervention: glass container labelled 'new low fat M&M's' (sample size not reported)

Control: glass container labelled 'new colours of regular M&M's' (sample size not reported)

Outcomes

Energy (kcal) consumed; assessed by weighing the serving of M&M's that participants had served themselves (97.3% were observed to eat all that they had served themselves)

Notes

Participants helped themselves freely to M&M's in labelled glass containers. The study was conducted over 2 days. The authors stated that "no industry or government agency funds supported this project"

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

High risk

Quasi‐randomisation based on the order in which people attended the open house

Allocation concealment (selection bias)

High risk

No allocation concealment

Blinding of participants and personnel (performance bias)
All outcomes

High risk

It is unclear whether participants would have been aware of the other group as both groups seem to have been running at the same time. The M&M's were unusual colours (gold, teal, purple and white), which could have affected consumption behaviour. Research assistants administering the study are likely to have been aware of the different interventions and who was receiving each

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Not reported, but outcome seems to have been objective (weighing M&M's), so lack of blinding may not have influenced the results

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Data seem to have been collected from all those who agreed to take part

Selective reporting (reporting bias)

Low risk

All relevant outcomes reported in the Methods section are reported in the Results section

Other bias

Low risk

No other potential threats to validity identified

Wansink 2006 ‐ study 3

Study characteristics

Methods

Setting: theatre located on a university campus, USA

Design: quasi‐randomised controlled trial

Recruitment: university students and staff at a large university campus recruited to be part of a study in which they would evaluate a pilot episode for a television show

Participants

179 participants; 49% males, mean age 28.7 years, mean BMI of 25.1 kg/m² with 110 normal‐weight and 69 in the overweight group

Interventions

Intervention: each participant received 160 grams containing 640 kcal of granola in ziplock bags that had an 'attractive' 3.25 × 4 inch (8.26 cm × 10.2 cm) colour label: "Low‐Fat Rocky Mountain Granola" (sample size not reported)

Control: as above but the granola was described as "Regular Rocky Mountain Granola". Below this, the label indicated, "Contains 1 Serving" or "Contains 2 Servings", or it provided no serving size information (sample size not reported)

Outcomes

Energy (kcal) consumed; assessed by weighing of leftovers of granola

Notes

The study was conducted over 10 sessions that lasted from 3:30 to 5:00 pm on each of 10 days (Tuesdays and Thursdays for 5 non‐consecutive weeks). The authors stated that "no industry or government agency funds supported this project"

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

High risk

By day of the week

Allocation concealment (selection bias)

High risk

No allocation concealment

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

The study was also described as evaluating a pilot episode for a television show so there was a low risk of participants being aware of manipulation. Personnel are likely to have been aware of the different interventions and who was receiving each

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Not reported, but outcome seems to have been objective (weighing granola bag), so lack of blinding may not have influenced the results

Incomplete outcome data (attrition bias)
All outcomes

Low risk

31/210 (15%) participants 'randomised' were not included in the analysis. Participants were excluded for not staying until the end of the show (n = 7), refusing to eat granola because of dietary restrictions or political principles (n = 4), spilling their granola on the floor (n = 3), emptying their granola bags into their pockets (n = 3), and failing to provide height and weight information (n = 14). Exclusions by treatment group were not reported

Selective reporting (reporting bias)

Low risk

All relevant outcomes reported in the Methods section are reported in the Results section

Other bias

Unclear risk

Not enough methodological information was reported to asses if there were other potential sources of bias

BMI: body mass index; SD: standard deviation.

Characteristics of excluded studies [ordered by study ID]

Study

Reason for exclusion

Albright 1990

Intervention: included a leaflet, the effect of which could not be isolated from the labelling intervention

Aron 1995

Study design: controlled before‐and‐after study that did not meet EPOC requirements for implementation in at least 2 intervention and 2 control sites

Outcome: purchasing not objectively assessed; participant self‐report used. Consumption only objectively assessed for intervention group, not for control group

Babio 2014

Study design: no no‐label control group; evaluates 2 different types of nutritional labelling schemes

Berning 2011

Study design: controlled before‐and‐after study that did not meet EPOC requirements for implementation in at least 2 intervention and 2 control sites

Bleich 2014

Intervention: 4different types of nutritional labels which were not specific to a particular product but sugar sweetened beverages generally

Control: no no‐label control group

Bucher 2015

Outcome: no purchasing or consumption measured (portion size decisions)

Callaghan 2010

Intervention: labelling did not give information about specific nutrient content

Cantor 2015

Study design: controlled before‐and‐after study that did not meet EPOC requirements for implementation in at least 2 intervention and 2 control sites

Cawley 2015

Intervention: guiding stars labels that do not provide information about content of specific nutrients

Chu 2012

Study design: a quasi‐experimental single group, ITS study that did not meet the EPOC criteria of at least 3 data points before and after the intervention

Chu 2014

Study design: a quasi‐experimental single group, ITS study that did not meet the EPOC criteria of at least 3 data points before and after the intervention

Control: there was no no‐labelling comparison as a nutrition facts label was already in operation in the cafeteria

Dingman 2015

Intervention: consisted of 3 strategies, not just labelling alone (nutrition information, interpretive signage, and a promotional email)

Ducrot 2016

Outcome: buying intention (virtual web‐based supermarket where virtual purchases were evaluated)

Dumanovsky 2011

Study design: did not meet EPOC criteria for inclusion as an interrupted time series study

Elbel 2011

Study design: controlled before‐and‐after study that did not meet EPOC requirements for implementation in at least 2 intervention and 2 control sites

Elbel 2013a

Study design: controlled before‐and‐after study that did not meet EPOC requirements for implementation in at least 2 intervention and 2 control sites

Elbel 2013b

Study design: experimental design testing the effects of labelling and taxation

Intervention: label did not provide information about content of specific nutrients or energy

Ellison 2014

Study design: did not meet EPOC criteria for ITS: experiments 1 and 2: ITS design, only analysed using t‐tests/multiple regression controlling for background variables (e.g. time of day), but did not account for secular trends/autocorrelation (no data were presented in a graph which would allow re‐analysis)

Engbers 2006

Study design: controlled before‐and‐after study that did not meet EPOC requirements for implementation in at least 2 intervention and 2 control sites

Intervention: no attempt to separate out the impact of calorie information and need for physical activity.

Outcome: self‐reported consumption of different foods and nutrients

Finkelstein 2011

Study design: controlled before‐and‐after study that did not meet EPOC requirements for implementation in at least 2 intervention and 2 control sites

Freedman 2009

Study design: ITS study that did not meet the EPOC criteria of at least 3 data points before and after the intervention

Giesen 2011

Intervention: this study assessed different prices and calorie information treatment conditions, so that the impact of labelling alone could not be determined

Gittelsohn 2013

Intervention: multi‐component intervention of which nutritional labelling was only one part

Outcome: self‐reported outcomes that were not objectively measured (participants were asked about foods and the number of times they had had them in the past 30 days)

Gomez 2015

Intervention: hard‐to‐read vs easy‐to‐read nutrition labelling conditions

Control: no no‐label control group

Outcome: only purchase intention was assessed

Graham 2017

Outcome: participants did not pay money for items 'chosen' in the 'laboratory' grocery store

Hassan 2010

Outcome: self‐reported choice of food assessed

Helfer 2014

Study design: no no‐label control (4 different types of nutritional labels were assessed)

Outcome: only purchase intention was assessed

Hobin 2015

Intervention: evaluated a 'guiding stars' system (foods labelled with different star levels: 0 vs 1 vs 2 vs 3 stars)

Hoerr 1993

Study design: did not meet EPOC criteria for an ITS study

Holmes 2011

Outcome: self‐reported measure of purchasing

Kiesel 2013

Study design: did not meet EPOC criteria for inclusion as a controlled before‐and‐after study

Kocken 2012

Intervention: not possible to isolate the effect of labelling from other interventions

Koenigstorfer 2014

Su: no no‐label control (study 1 and 2); evaluates 2 different types of nutritional labelling schemes

Krieger 2013

Study design: pre‐post design that did not meet EPOC criteria for inclusion as an ITS study

Lassen 2014

Study design: controlled pre‐post study with one intervention site and one control site

Intervention: keyhole labelling that did not give information about the content of specific nutrients or energy

Mathios 2000

Study design: the study did not meet EPOC criteria for inclusion as an ITS study

McNeill 2014

Outcome: outcome appears to be hypothetical choice in different scenarios using an on‐line system (authors were contacted for more details, but no response provided)

NCT01604954

Potentially relevant study but not enough information in registry to assess. The study completion date is April 2015, but no associated publications are available.

NCT02546505

Outcome: 'At the end of the shopping session, the respondents proceed to the cashier but don't actually pay for their purchases.'

Nikolaou 2014a

Study design: pre‐post study not meeting EPOC criteria for inclusion as a controlled before‐and‐after study

Nikolaou 2014b

Study design: pre‐post study not meeting EPOC criteria for inclusion as an interrupted time series study

Nikolaou 2016

Study design: did not meet EPOC criteria for inclusion as an interrupted time series study (not three pre intervention and three post‐intervention periods)

Pulos 2010

Study design: pre‐post study that did not meet the EPOC criteria of at least 2 intervention and 2 control sites

Reale 2016

Study design: repeated measures design (all participant's received the control menu first followed by the experimental conditions which were presented in a randomised order)

Outcome: only intention to purchase assessed

Sacks 2009

Study design: pre‐post study that did not meet EPOC criteria for inclusion as an ITS study

Sacks 2011

Study design: pre‐post study that did not meet EPOC criteria for inclusion as a controlled before‐and‐after study

Sato 2013

Study design: pre‐post study that did not meet EPOC criteria for inclusion as an ITS study

Schmitz 1986

Study design: pre‐post study that did not meet EPOC criteria for inclusion as an ITS study

Schucker 1992

Study design: study that did not meet EPOC criteria for inclusion as an ITS study or as a controlled before‐and‐after study

Schwartz 2012

Intervention: the effect of labels could not be isolated from other interventions

Seward 2016

Intervention: labels did not meet inclusion criteria (coloured with no other information)

Sharma 2011

Intervention: healthy menu items were presented on the menu alongside regular items but were labelled with a 'heart‐healthy' symbol only

Stutts 2011

Outcome: self‐reported choice and consumption

Sutherland 2010

Intervention: label consisted of stars which give an indication of overall weighted content of different nutrients based on a summed score

Temple 2011a

Intervention: the labelling intervention was associated with a 'taxing' intervention, so that the effect of labelling alone could not be isolated

Temple 2011b

Intervention: labels did not provide information about actual nutritional content but were coloured to represent whether the foods were more or less healthy

Thorndike 2014

Intervention: labels did not contain information about specific nutrients or energy and their content in the product

Thorndike 2015

Intervention: all participants were exposed to traffic light labels; intervention group received financial incentives and control group did not

Trudel 2015

Intervention: no no‐label control: red vs green traffic lights was the intervention (study 4)

Outcome: rating the health quality of food (study 1 to 3)

Vadiveloo 2011

Study design: controlled before‐and‐after study that did not meet EPOC requirements for implementation in at least 2 intervention and 2 control sites (linked to Elbel 2011)

Volkova 2014

Intervention: no no‐label control; evaluates 2 different types of nutritional labelling schemes

Vyth 2011

Intervention: choices logo provided but information on specific nutrients were not provided

Wang 2016

Study design: a longitudinal analysis. The authors state that they presented weekly retail sales data and product feature records from 2001 to 2011, in order to analyse supply‐side changes in the market for margarine and spreads corresponding to implementation of the 2006 rule (although there is no clear graph showing sales through time that could be used as ITS data – just price or market share)

Wardle 1994

Outcome: food preferences

Webb 2011

Study design: controlled before‐and‐after study but objective purchasing data (electronic till data) are only available for 1 intervention and 1 control store (so did not meet EPOC criteria with at least 2 intervention sites and 2 control sites)

Whitaker 1994

Intervention: intervention schools had both low‐fat labelling and parental information pamphlets; the effects of the 2 parts of the intervention could not be isolated

EPOC: Cpchrane Effective Practice and Organisation of Care group; ITS: interrupted time series.

Characteristics of ongoing studies [ordered by study ID]

ACTRN12614000964617

Study name

The effects of four front‐of‐pack labelling schemes compared to standard Nutrition Information Panel, on mean nutrient profiling score of food purchases among the adult Australian consumers: a randomised trial

Methods

Randomised controlled trial

Participants

  1. Can read and understand English

  2. Have a compatible smartphone (iPhone with iOS 7 or Android device with OS versions 4.3 or 4.4)

  3. Are the main shopper of the household (do at least 50% of household shopping)

  4. Shop at a supermarket at least once a week

  5. Are 18 years or over

  6. Provide informed consent

  7. Do not plan to be away during the 5‐week study period

  8. Have never used FoodSwitch

Interventions

The labelling schemes that will be tested in the study are:

  • Colour‐coded multiple traffic‐light labels (the current public health gold standard). The traffic‐light label uses green, amber and red colours to indicate the relative levels (low, medium and high) of four nutrients (fat, saturated fat, sugar and sodium).

  • Monochrome daily intake guide labels (the current food industry option). This label provides information on the level of energy, fat, saturated fat, sugar and sodium per serving and the percentage of each on the average Australian daily intake.

  • The 'energy stars' based front‐of‐pack nutrition label format selected by the federal government. The label assigns a rating from 0.5 (less healthy) to 5 (most healthy) stars to foods basing on their Health Star Rating score, calculated from energy, fat, sugar and salt content, and adjusted for other components, such as fruit and vegetables.

  • Advisory labels that warn against the purchase of less healthy products and encourage the purchase of more healthy products. In addition to information available on the standard nutrition information panel, this standard label will provide a green sign indicating a food being a healthy choice or a red sign indicating the food being unhealthy and suggesting consumer to avoid. The warning signs are calculated basad on the food nutrition profile score in each category.

Outcomes

Healthiness of food purchases as evaluated by the mean nutrient profile score of all food and beverage products purchased over the four‐week intervention period. Mean nutrient profiling score will be calculated using the Food Standards Australia New Zealand (FSANZ) nutrient profiling standard. Food purchase information is collected via electronic records (participants will be asked to scan barcodes of purchased items and take photos of the till receipts using the smartphone app and send to the study investigators. The app will then transmit the data to study database. Participants will also be asked to send in the hard copies of their till receipts in a reply‐paid envelop provided by the study. Food purchase information will later be collated from both electronic and paper sources for analysis.

Starting date

15 September 2014

Contact information

Prof Bruce Neal

The George Insitute for Global Health, Level 10, King George V Building, 83‐117 Missenden Rd, Camperdown NSW 2050 Australia

Phone +61 299934558

Notes

The study intervention includes 4 different front of pack nutrition labelling schemes that will be shown to study participants via a smartphone application.

Data and analyses

Open in table viewer
Comparison 1. Labelling on menus vs no labelling in restaurants

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1.1 Energy (kcal) of food purchased Show forest plot

3

1877

Mean Difference (IV, Random, 95% CI)

‐46.72 [‐78.35, ‐15.10]

Analysis 1.1

Comparison 1: Labelling on menus vs no labelling in restaurants, Outcome 1: Energy (kcal) of food purchased

Comparison 1: Labelling on menus vs no labelling in restaurants, Outcome 1: Energy (kcal) of food purchased

Open in table viewer
Comparison 2. Labelling on menus or placed on a range of food options vs no labelling in laboratory settings

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

2.1 Energy (kcal) consumed during a meal Show forest plot

8

1705

Mean Difference (IV, Random, 95% CI)

‐50.27 [‐104.41, 3.88]

Analysis 2.1

Comparison 2: Labelling on menus or placed on a range of food options vs no labelling in laboratory settings, Outcome 1: Energy (kcal) consumed during a meal

Comparison 2: Labelling on menus or placed on a range of food options vs no labelling in laboratory settings, Outcome 1: Energy (kcal) consumed during a meal

Open in table viewer
Comparison 3. Labelling on menus vs no labelling in laboratory settings (studies with a low risk of bias)

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

3.1 Energy (kcal) consumed during a meal Show forest plot

3

547

Mean Difference (IV, Random, 95% CI)

‐72.04 [‐137.84, ‐6.25]

Analysis 3.1

Comparison 3: Labelling on menus vs no labelling in laboratory settings (studies with a low risk of bias), Outcome 1: Energy (kcal) consumed during a meal

Comparison 3: Labelling on menus vs no labelling in laboratory settings (studies with a low risk of bias), Outcome 1: Energy (kcal) consumed during a meal

Open in table viewer
Comparison 4. Labelling of a single food or drink option vs no labelling in laboratory settings

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

4.1 Energy (kcal) consumption Show forest plot

6

732

Std. Mean Difference (IV, Random, 95% CI)

0.05 [‐0.17, 0.27]

Analysis 4.1

Comparison 4: Labelling of a single food or drink option vs no labelling in laboratory settings, Outcome 1: Energy (kcal) consumption

Comparison 4: Labelling of a single food or drink option vs no labelling in laboratory settings, Outcome 1: Energy (kcal) consumption

Open in table viewer
Comparison 5. Labelling of a single food or drink option vs no labelling in laboratory settings (studies at low risk of bias)

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

5.1 Energy (kcal) consumption Show forest plot

2

400

Std. Mean Difference (IV, Random, 95% CI)

‐0.06 [‐0.26, 0.15]

Analysis 5.1

Comparison 5: Labelling of a single food or drink option vs no labelling in laboratory settings (studies at low risk of bias), Outcome 1: Energy (kcal) consumption

Comparison 5: Labelling of a single food or drink option vs no labelling in laboratory settings (studies at low risk of bias), Outcome 1: Energy (kcal) consumption

Open in table viewer
Comparison 6. Consumption in laboratory settings: subgroup analysis by dietary restraint (studies providing a range of food options)

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

6.1 Energy (kcal) consumed during a meal Show forest plot

2

267

Mean Difference (IV, Random, 95% CI)

15.48 [‐20.08, 51.04]

Analysis 6.1

Comparison 6: Consumption in laboratory settings: subgroup analysis by dietary restraint (studies providing a range of food options), Outcome 1: Energy (kcal) consumed during a meal

Comparison 6: Consumption in laboratory settings: subgroup analysis by dietary restraint (studies providing a range of food options), Outcome 1: Energy (kcal) consumed during a meal

6.1.1 Restrained eaters

2

129

Mean Difference (IV, Random, 95% CI)

20.87 [‐37.44, 79.18]

6.1.2 Unrestrained eaters

2

138

Mean Difference (IV, Random, 95% CI)

10.98 [‐38.85, 60.81]

Open in table viewer
Comparison 7. Consumption in laboratory settings: subgroup analysis by dietary restraint (study providing a single food option)

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

7.1 Energy (kcal) consumed during a snack Show forest plot

1

Std. Mean Difference (IV, Random, 95% CI)

‐0.17 [‐0.63, 0.28]

Analysis 7.1

Comparison 7: Consumption in laboratory settings: subgroup analysis by dietary restraint (study providing a single food option), Outcome 1: Energy (kcal) consumed during a snack

Comparison 7: Consumption in laboratory settings: subgroup analysis by dietary restraint (study providing a single food option), Outcome 1: Energy (kcal) consumed during a snack

7.1.1 Restrained eaters

1

Std. Mean Difference (IV, Random, 95% CI)

‐0.44 [‐0.94, 0.05]

7.1.2 Urestrained eaters

1

Std. Mean Difference (IV, Random, 95% CI)

0.03 [‐0.34, 0.39]

Open in table viewer
Comparison 8. Consumption in laboratory settings: subgroup analysis by study country (studies providing a range of food options)

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

8.1 Energy (kcal) consumed during a snack/meal Show forest plot

8

1705

Mean Difference (IV, Random, 95% CI)

‐50.28 [‐104.42, 3.87]

Analysis 8.1

Comparison 8: Consumption in laboratory settings: subgroup analysis by study country (studies providing a range of food options), Outcome 1: Energy (kcal) consumed during a snack/meal

Comparison 8: Consumption in laboratory settings: subgroup analysis by study country (studies providing a range of food options), Outcome 1: Energy (kcal) consumed during a snack/meal

8.1.1 Studies conducted in the USA

5

895

Mean Difference (IV, Random, 95% CI)

‐70.57 [‐167.65, 26.52]

8.1.2 Studies conducted in other countries

3

810

Mean Difference (IV, Random, 95% CI)

‐58.18 [‐107.15, ‐9.21]

Open in table viewer
Comparison 9. Consumption in laboratory settings: subgroup analysis by study country (studies providing single food option)

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

9.1 Energy (kcal) consumed during a snack/meal Show forest plot

6

732

Std. Mean Difference (IV, Random, 95% CI)

0.05 [‐0.17, 0.27]

Analysis 9.1

Comparison 9: Consumption in laboratory settings: subgroup analysis by study country (studies providing single food option), Outcome 1: Energy (kcal) consumed during a snack/meal

Comparison 9: Consumption in laboratory settings: subgroup analysis by study country (studies providing single food option), Outcome 1: Energy (kcal) consumed during a snack/meal

9.1.1 Studies conducted in the USA

4

459

Std. Mean Difference (IV, Random, 95% CI)

0.14 [‐0.17, 0.45]

9.1.2 Studies conducted in other countries

2

273

Std. Mean Difference (IV, Random, 95% CI)

‐0.12 [‐0.36, 0.11]

Open in table viewer
Comparison 10. Low fat (or energy) labelling vs no labelling on high‐energy foods

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

10.1 Energy (kcal) consumed during a snack/meal in laboratory settings Show forest plot

5

718

Std. Mean Difference (IV, Random, 95% CI)

0.19 [‐0.14, 0.51]

Analysis 10.1

Comparison 10: Low fat (or energy) labelling vs no labelling on high‐energy foods, Outcome 1: Energy (kcal) consumed during a snack/meal in laboratory settings

Comparison 10: Low fat (or energy) labelling vs no labelling on high‐energy foods, Outcome 1: Energy (kcal) consumed during a snack/meal in laboratory settings

Examples of nutritional labels used in practice

Figuras y tablas -
Figure 1

Examples of nutritional labels used in practice

Logic model of the process by which nutritional labelling may have an impact on diets and health

Figuras y tablas -
Figure 2

Logic model of the process by which nutritional labelling may have an impact on diets and health

Study flow diagram

Figuras y tablas -
Figure 3

Study flow diagram

Risk of bias summary

Figuras y tablas -
Figure 4

Risk of bias summary

Forest plot of comparison: Labelling on menus vs no labelling in restaurants, and energy (kcal) of food purchased

Figuras y tablas -
Figure 5

Forest plot of comparison: Labelling on menus vs no labelling in restaurants, and energy (kcal) of food purchased

Forest plot of comparison: Labelling on menus or placed on a range of food options vs. no labelling in laboratory settings, and energy (kcal) consumed

Figuras y tablas -
Figure 6

Forest plot of comparison: Labelling on menus or placed on a range of food options vs. no labelling in laboratory settings, and energy (kcal) consumed

Comparison 1: Labelling on menus vs no labelling in restaurants, Outcome 1: Energy (kcal) of food purchased

Figuras y tablas -
Analysis 1.1

Comparison 1: Labelling on menus vs no labelling in restaurants, Outcome 1: Energy (kcal) of food purchased

Comparison 2: Labelling on menus or placed on a range of food options vs no labelling in laboratory settings, Outcome 1: Energy (kcal) consumed during a meal

Figuras y tablas -
Analysis 2.1

Comparison 2: Labelling on menus or placed on a range of food options vs no labelling in laboratory settings, Outcome 1: Energy (kcal) consumed during a meal

Comparison 3: Labelling on menus vs no labelling in laboratory settings (studies with a low risk of bias), Outcome 1: Energy (kcal) consumed during a meal

Figuras y tablas -
Analysis 3.1

Comparison 3: Labelling on menus vs no labelling in laboratory settings (studies with a low risk of bias), Outcome 1: Energy (kcal) consumed during a meal

Comparison 4: Labelling of a single food or drink option vs no labelling in laboratory settings, Outcome 1: Energy (kcal) consumption

Figuras y tablas -
Analysis 4.1

Comparison 4: Labelling of a single food or drink option vs no labelling in laboratory settings, Outcome 1: Energy (kcal) consumption

Comparison 5: Labelling of a single food or drink option vs no labelling in laboratory settings (studies at low risk of bias), Outcome 1: Energy (kcal) consumption

Figuras y tablas -
Analysis 5.1

Comparison 5: Labelling of a single food or drink option vs no labelling in laboratory settings (studies at low risk of bias), Outcome 1: Energy (kcal) consumption

Comparison 6: Consumption in laboratory settings: subgroup analysis by dietary restraint (studies providing a range of food options), Outcome 1: Energy (kcal) consumed during a meal

Figuras y tablas -
Analysis 6.1

Comparison 6: Consumption in laboratory settings: subgroup analysis by dietary restraint (studies providing a range of food options), Outcome 1: Energy (kcal) consumed during a meal

Comparison 7: Consumption in laboratory settings: subgroup analysis by dietary restraint (study providing a single food option), Outcome 1: Energy (kcal) consumed during a snack

Figuras y tablas -
Analysis 7.1

Comparison 7: Consumption in laboratory settings: subgroup analysis by dietary restraint (study providing a single food option), Outcome 1: Energy (kcal) consumed during a snack

Comparison 8: Consumption in laboratory settings: subgroup analysis by study country (studies providing a range of food options), Outcome 1: Energy (kcal) consumed during a snack/meal

Figuras y tablas -
Analysis 8.1

Comparison 8: Consumption in laboratory settings: subgroup analysis by study country (studies providing a range of food options), Outcome 1: Energy (kcal) consumed during a snack/meal

Comparison 9: Consumption in laboratory settings: subgroup analysis by study country (studies providing single food option), Outcome 1: Energy (kcal) consumed during a snack/meal

Figuras y tablas -
Analysis 9.1

Comparison 9: Consumption in laboratory settings: subgroup analysis by study country (studies providing single food option), Outcome 1: Energy (kcal) consumed during a snack/meal

Comparison 10: Low fat (or energy) labelling vs no labelling on high‐energy foods, Outcome 1: Energy (kcal) consumed during a snack/meal in laboratory settings

Figuras y tablas -
Analysis 10.1

Comparison 10: Low fat (or energy) labelling vs no labelling on high‐energy foods, Outcome 1: Energy (kcal) consumed during a snack/meal in laboratory settings

Summary of findings 1. Summary of findings table

Nutritional labelling compared to no labelling for healthier food purchasing and consumption

Patient or population: university students/staff and general consumers
Setting: real‐world and laboratory settings
Intervention: nutritional labelling
Comparison: no labelling

Outcomes

Anticipated absolute effects* (95% CI)

Relative effect
(95% CI)

№ of participants
(studies)

Quality of the evidence
(GRADE)

Comments

Risk with no labelling

Risk with nutritional labelling

Food purchased from vending machines
assessed with: diet soda beverages/week
Follow‐up: 5 weeks a

Although more beverages were purchased in the labelling group, large baseline imbalances arising from a small number of randomised units meant that an accurate effect size could not be calculated.

(1 RCT)

⊕⊝⊝⊝
Very lowb

Sample size unknown (population purchasing from 3 intervention and 2 control public vending machines)

Food purchased from a grocery store
assessed with: calorie‐healthy foods as % of sales
Follow‐up: 94 months

Sales performance decreased after labelling was introduced in this interrupted time series study, although this was difficult to interpret because results were measured as health foods as a proportion of overall foods, rather than directly measuring the number of products purchased.

(1 ITS study)

⊕⊝⊝⊝
Very lowc

Sample size unknown (population purchasing from a large chain of grocery stores)

Food purchased in restaurants (labels on menus) assessed with: kcal
Follow‐up: range 2 weeks to 19 weeks

The median food purchased in restaurants was 746 kcald

MD 46.72 kcal fewer (78.35 fewer to 15.10 fewer)e

1877
(3 RCTs)

⊕⊕⊝⊝
Lowf

Six additional studies (one Q‐RCT and 5 ITS studies which took place in a restaurant, cafeterias or coffee shops) also measured purchasing, 2 of which were ITS studies at low risk of bias (which assessed energy labels on menus/menu boards in a coffee shop or cafeteria) and found results consistent with this meta‐analysis.

Food consumed in laboratory settings (labels on menus or labels placed on a range of food options)
assessed with: kcal

The median food consumed in laboratory settings was 796.4 kcald

MD 50.27 kcal fewer (104.41 fewer to 3.88 more)

1705
(8 RCTs)

⊕⊕⊝⊝
Lowg

Food consumed in laboratory settings (single snack food or drink option)
assessed with: kcal

The median food consumed in laboratory settings was 316.975 kcald

SMD 0.05 (95% CI −0.17 to 0.27), P = 0.67

732
(6 RCTs)

⊕⊕⊝⊝
Lowh

An SMD of 0.05 represents a small effect (Cohen 1988).

Potential harms (high‐energy snack foods consumed with misleading low fat/energy labels in laboratory settings)
assessed with: kcal

The median food consumed with misleading low fat/energy labels in laboratory settings was 190 kcald

SMD of 0.19 (95% CI −0.14to 0.51), P = 0.25

831
(5 RCTs)

⊕⊝⊝⊝
Very lowi

An SMD of 0.19 represents a small effect (Cohen 1988).

*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; RR: risk ratio; OR: odds ratio.

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

aAll outcomes measuring immediate purchasing or consumption decisions at the point of exposure to the label, although returning customers in non‐laboratory settings may have experienced repeat exposure during the study period.
bDowngraded by two levels for very serious risk of bias and one level for a high degree of imprecision given no useful effect estimate could be calculated.
cRating begins at 'low' as this is an observational study. Downgraded by one level for serious risk of bias, and one level for indirectness, as outcome was measured as a proportion of overall purchasing rather than directly measured.
dMedian value among the control groups in the included studies.
e Assuming this result applied consistently to a population average meal of 600 kcal, this would represent a reduction of 7.8% (95% CI 2.5% to 13.1%).
f Downgraded by two levels for very serious risk of bias.
g Downgraded by one level for imprecision, as the 95% confidence interval included the possibility of no effect and of a meaningful decrease, and by one level for indirectness, as behaviour observed in a laboratory setting may not be applicable to real‐world settings. Although five of the included studies were at unclear risk of bias, we did not downgrade for risk of bias.
hDowngraded by one level for serious risk of bias and one level for indirectness, as behaviour observed in a laboratory setting may not be applicable to real‐world settings.
iDowngraded one level for serious risk of bias, one level for heterogeneity, one level for indirectness (as behaviour observed in a laboratory setting may not be applicable to real‐world settings) and one level for imprecision (as the 95% confidence interval included the possibility of a meaningful decrease or increase).

Figuras y tablas -
Summary of findings 1. Summary of findings table
Table 1. Study that assessed labelling vs no labelling on drinks purchased from vending machines

Reference and study design

Participants and Setting

Intervention/Comparison (sample sizes)

Outcome

Results

Summary effect

Bergen 2006

Cluster‐RCT

Students and employees at a university

Real‐world setting

Brightly coloured '0 calories, 0 carbs' labels (n = 3 vending machines) vs no labels (n = 2 vending machines)a

Mean number of diet soda beverages (with '0 calories, 0 carbs') purchased from vending machines (weekly)

Mean 54.40 beverages (SD 16.69) vs 48.90 beverages (SD 1.84)

The methods used to analyse the data were not clearly reported and an accurate effect size and confidence intervals could not be calculated.b

aThe authors also evaluated another intervention ('0 calorie, 0 carbs' plus a motivational poster encouraging the purchase of water and non‐energy‐containing soft drinks) that was not eligible for inclusion in this review.
bThere were baseline differences between the groups. In addition, we could not provide a standardised effect due to the impact of small randomised units (vending machines) on estimates of standard deviation.

Figuras y tablas -
Table 1. Study that assessed labelling vs no labelling on drinks purchased from vending machines
Table 2. Study that assessed labelling vs no labelling on food or drinks purchased from a grocery store

Reference and study design

Participants and setting

Intervention/comparison (sample sizes)

Outcome

Results

Summary effect

Balasubramanian 2002

Interrupted time series

Customers at a major grocery store chain

Real‐world setting

'Low calorie', 'diet' 'light' label on front of package vs no label (sample sizes not clear)a

Share (%) of sales of different food categories

"Regression models featuring calorie‐healthy foods consistently show [that] the relative sales performance of such items decreased after the onset of [mandatory labelling]": 'low calorie/diet/light' bottled juices = −1.538 (SE 0.191); 'light' frozen entrées = −2.601 (SE 0.373); 'light' frozen dinners = −4.507 (SE 0.963)b

Regression P values of < 0.001 indicated fewer foods with 'calorie healthy' descriptors were purchased.

aThe authors also evaluated 'vitamin C fortified' bottled juices, 'plus calcium/calcium added' juices, and 'low fat/reduced fat/fat free' cheese and cookies. These data were not eligible for inclusion in this review.
bGraphs were not presented for the foods or beverages of interest, so that re‐analysis of the data was not possible from the published paper.

Figuras y tablas -
Table 2. Study that assessed labelling vs no labelling on food or drinks purchased from a grocery store
Table 3. Studies that assessed labelling vs no labelling on food or drinks purchased in restaurants, cafeterias or coffee shops

Reference and study design

Participants and setting

Intervention/comparison (sample sizes)

Outcome

Results

Summary effect

Allan 2015

Q‐RCT

Coffee shop customers at academic hospital

Real‐world setting

Energy content of all food and drinks available on point of purchase signs vs. no information (N = 20,516 items purchased)

Proportion of high energy food and drinks purchased (as a percentage of total drinks and snacks sold)

The proportion of high energy snacks purchased was 41% in the intervention and 45% the control group (P = 0.04); the proportion of high energy drinks purchased was 46% in the intervention group and 50% in the control group (P = 0.15).

Effect size and confidence intervals could not be calculated.

Bollinger 2011

Interrupted time series

Coffee shop customers

Real‐world setting

Energy content on menu and menu boards vs no information (N = 118,480 transactions reported)

Mean kcal of food and drinks purchased per transaction

"Estimates of the effect of calorie posting (calories per transaction): log (beverages and food) = −0.060 (0.001)a–representing a ... decrease in average calories per transaction, equivalent to 14.4 calories"

Regression P value < 0.01

Chu 2009

Interrupted time series

Customers at a university dining centre

Real‐world setting

Nutrition facts information on menu board (N = 14,199 entrées sold) vs no label (pre‐intervention: N = 13,951 entrées sold; post‐intervention N = 14,020 entrées sold)

Mean kcal content of entrées purchased per day

Mean energy content of entrées sold at start of the pre‐intervention period: 646.5 kcal with a slope of 0.094 kcal per day. The difference in energy content of entrées sold between the pre‐treatment last day and treatment first day was −12.4 kcal (P = 0.007). Following this reduction, the difference in slope pre‐intervention to intervention was −0.298 kcal per day, and the difference in slope intervention to post‐intervention was 1.512 kcal per day. This means that the average energy content of entrées purchased reduced immediately after the intervention, and gradually increased when the intervention was removed.

Regression P values were 0.56 (pre‐intervention to intervention slope), and 0.013 (intervention to post‐intervention slope).

Cioffi 2015

Interrupted time series

Customers at a university dining centre

Real‐world setting

Nutrition facts label on pre‐packaged meals and snacks vs no label (sample sizes not reported)

Mean kcal purchased per week from meals and snacks

"Mean [energy] purchased decreased significantly across the 3 [time points] of the pre‐labelling period. However, no such trend was observed in the post‐labelling period." (data compared over 3 time points)."After labelling, the mean energy content of the items purchased per week decreased significantly from 476.2 (SD 8.7) kcals to 445.3 (SD 8.1) kcals per week (p<0.001)."

A statistical comparison of time trends (i.e. slope) before and after the intervention was not reported, so that the overall effectiveness of the intervention is not clear.

Dubbert 1984

Interrupted time series

Customers at a public cafeteria

Real‐world setting

'Lower calorie' label on green paper with a red dot on right‐hand corner beside food item vs no label (sample sizes of foods purchased is not clear)

Probability of choosing low energy entrées, vegetables, or salads

"The probability of choosing a low [energy] entrée did not differ from baseline." The probability of purchasing lower‐energy vegetables and salads significantly increased compared to the no label baseline conditions (P < 0.001).

A statistical comparison of time trends before and after the intervention was not clearly reported, so that the overall effectiveness of the intervention is not clear.

Ellison 2013

RCT

Customers at a restaurant

Real‐world setting

1. Energy content on menu (n = 54)

2. Menu with energy content using traffic light format (n = 54)

3. No label (n = 30)

Mean kcal purchased per meal (including entrées, desserts and drinks)

756.5 kcal (SD 338.5)b vs 765 kcal (SD 368.0)

MD −8.50 kcal (95% CI −154.85 to 137.85)

Ellison 2014a

RCT

Customers at a restaurant

Real‐world setting

1. Energy content on menu (n = 469)

2. Menu with energy content using traffic light format (n = 591)

3. No label (n = 472)

Mean kcal purchased per meal (entrées only)

705.6 kcal (SD 334.7)c vs. 746 kcal (SD 368.0)

MD −40.38 kcal (95% CI −79.21 to −1.55)

Holmes 2013

Interrupted time series

Families at a restaurant

Real‐world setting

Children's menu with energy and fat content label vs no label (N = 1275 meals)d

Mean kcal purchased per meal

"The calorie and fat menu had the biggest change in calories compared to the control menu (−9.54), but it was not significant."

A statistical comparison of time trends before and after the intervention was not reported, so that the overall effectiveness of the intervention is not clear.

VanEpps 2016

RCT

Employees at large company buying lunch online

Real‐world setting

1. Energy content on menu (n = 38)

2. Menu with energy content using traffic light format (n = 46)

3. No label (n = 123)e

Mean kcal purchased per meal

537.9 kcal (SD 203.9)f vs. 605.3 kcal (SD 222.5)

MD −67.38 kcal (95% CI −126.09 to −8.66)

aAccounting for effects of week, day of week and weather.
bSDs were calculated from P values reported in the text; means and SDs for both intervention groups were combined (intervention 1: 817 kcal (SD 334.6); intervention 2: 696 kcal (SD 334.6)).
cSDs were based on Ellison 2013; means and SDs for both intervention groups were combined (intervention 1: 719 kcal (SD 334.6); intervention 2: 695 kcal (SD 334.6)).
dThe authors also evaluated two other labelling interventions (a healthy (apple) symbol, and a 'Nutrition Bargain Price') that were not eligible for inclusion in this review.
eThe authors also evaluated one other labelling interventions (traffic light labels without energy information) that was not eligible for inclusion in this review.
fMeans and SDs (obtained from the study authors) for both intervention groups were combined (intervention 1: 543.8 (SD 180); intervention 2: 533.1 (SD 223.6)).

Figuras y tablas -
Table 3. Studies that assessed labelling vs no labelling on food or drinks purchased in restaurants, cafeterias or coffee shops
Table 4. Studies that assessed labelling vs no labelling on food or drinks consumed in laboratory settings

Reference and study design

Participants and setting

Intervention/comparison (sample sizes)

Outcome

Results

Summary effect

Labelling on menus or placed on a range of food options on energy consumed during a meal

Girz 2012 ‐ study 2

RCT

University students

Experimental (laboratory) study at a university

Energy content on menu plus information on recommended daily energy intake for women and men (n = 60) vs no label (n = 66)a

Mean kcal consumed during a meal (salad and pasta)

608.2 kcal (SD 350.8)b vs 631.3 kcal (SD 324.0)

MD −23.02 kcal (95% CI −141.28 to 95.24)

Girz ongoing

RCT

University students

Experimental (laboratory) study at a university

Energy content on menu (n = 24) vs no label (n = 25)

Mean kcal consumed during a meal

433.1 kcal (SD 260.2) vs 426.5 kcal (SD 237.4)c

MD 6.60 kcal (95% CI −133.02 to 146.22)

Hammond 2013

RCT

Adults

Experimental (laboratory) study at a university

1. Energy content on menu (n = 165)

2. Menu with energy content using a traffic light format (n = 156)

3. Menu with energy, fat, salt, and sugar content using traffic light format (n = 152) vs no label (n = 162)

Mean kcal consumed during a fast food meal

761.6 kcal (SD 348.9)d vs 839.6 kcal (SD 318.8)

MD −78.00 kcal (95% CI −136.29 to −19.70)

Harnack 2008a

RCT

Adolescents and adults

Experimental study conducted in hotel conference rooms/church hall

Energy content on menu plus information on recommended daily energy intake for women and men (n = 151) vs no label (n = 150)e

Mean kcal consumed during a fast food meal

804.7 kcal (SD 423.9) vs 739.0 kcal (SD 358.2)

MD 65.70 kcal (95% CI −22.94 to 154.34)

James 2015

RCT

Adults, including university students

Experimental study at a university

Energy content on menu plus information on recommended daily energy intake for women and men (n = 99) vs no label (n = 99)f

Mean kcal consumed during a meal

722.0 kcal (SD 271.6)g vs 770.0 (SD 269.1)

MD −48.00 kcal (95% CI −123.31 to 27.31)

Platkin 2014

RCT

Female university students

Experimental (laboratory) study at a university

1. Energy content on menu (n = 20)

2. Menu with energy content and exercise equivalents (n = 20) vs no label (n = 22)

Mean kcal consumed during a fast food meal

870.1 kcal (SD 375.9)h vs 995.4 (SD 429.4)

MD −125.33 kcal (95% CI −339.26 to 88.59)

Roberto 2010

RCT

Adults from the community

Experimental (classroom) study at a university

1. Energy content on menu (n = 92)

2. Menu with energy content plus information on recommended daily intake (n = 103) vs no label (n = 92)

Mean kcal consumed during a meal

1293.3 kcal (SD 656.8)i vs 1458.9 kcal (SD 724.6)

MD −165.58 kcal (95% CI −340.01 to 8.84)

Temple 2010

RCT

Adults

Experimental (laboratory) study at a university

Nutrition facts label on foods (n = 23) vs no label (n = 24)

Mean kcal consumed during a meal

620.4 kcal (SD 203.6) vs 822.8 kcal (SD 408.7)j

MD −202.40 kcal (SD −385.86 to −18.94)

Labelling of a single food or drink option on energy consumed during a snack or meal

Cavanagh 2014

RCT

Female university students

Experimental (laboratory) study at a university

Energy label on chocolate cookie (130 kcal) (n = 62) vs no label (n = 62)k

Mean grams consumed from snack of chocolate chip cookies

45.1 g (SD 21.50) vs 33.1 g (SD 21.57)l

SMD 0.55 (95% CI 0.19 to 0.91)

Crockett 2014

RCT

Adults

Experimental study at a cinema

Red 'high fat' label on side of popcorn container (n = 96) vs no label (n = 88)m

Mean kcal consumed from snack of toffee or salted popcorn (high‐fat snack)

413.5 kcal (SD 307.6)n vs 468.1 kcal (SD 361.9)

SMD −0.16 (95% CI −0.45 to 0.13)

Ebneter 2013

RCT

Female university students

Experimental study at a university

Energy label ('new colours of regular M&M's, 240 calories per serving"') on glass container containing M&M's (n = 41) vs no energy content label ('new colours of regular M&M's') (n = 38)o

Mean kcal consumed during snack of M&M's (high‐fat snack)

157.2 kcal (SD 98.5) vs165.9 kcal (SD 141.5)

SMD −0.07 (95% CI −0.51 to 0.37)

Kral 2002

Q‐RCT

Females

Experimental (laboratory) study at a university

Energy label plus 'colour‐coded' information on level of energy density on an entrée (n = 20) vs no label (n = 20)

Mean kcal consumed from an entrée at breakfast, lunch and dinner

1534.0 kcal (SD 451.7) vs 1569.0 kcal (SD 335.4)

SMD −0.09 (95% CI −0.71 to 0.53)

Roberto 2012

RCT

Adults

Experimental (laboratory) study at a university

1. Smart choices label on cereal box (n = 76 analysed)

2. Modified smart choices label (n = 71) vs no label (n = 69)

Mean grams of high‐sugar breakfast cereal and milk consumed

225.7 g (SD 138.2)p vs 219.9 g (SD 127.1)

SMD 0.04 (95% CI −0.24 to 0.33)

Vermeer 2011

Q‐RCT

Adults

Experimental study at a cinema

Portion size and energy content label (display board) (n = 48) vs no label (n = 41)

Mean millilitres of soft drink consumed

376.3 mL (SD 125.4) vs 382.14 mL (SD 147.6)q

SMD −0.04 (95% CI−0.46 to 0.37)

aTwo other interventions were combined by the study authors as a 'calorie only' intervention (400 kcal salad and 1200 kcal pasta, and 1200 kcal salad and 400 kcal pasta (although both salad and pasta contained 1200 kcal)). We did not include this data in the above analysis as it involved mislabelling some of the foods (data were not reported separately for consumption of foods that were accurately labelled).
bMeans and SDs were reported separately for men and women by the study authors; we have combined these data.
cData were obtained from the study authors (Girz ongoing).
dMean and SDs for all three intervention groups were combined (intervention 1: 744.2 kcal (SD 368.1); intervention 2: 776.8 kcal (SD 350.9); intervention 3: 764.9 (SD 326.2)).
eThe authors also evaluated other labelling interventions (energy information and daily recommended intake plus price modification, and price modification alone) that were not eligible for inclusion in this review.
fThe authors also evaluated another intervention (exercise label describing the number of minutes of brisk walking required to burn the energy for each food item), but as this intervention did not present energy content information, it was not eligible for inclusion in this review.
gSDs were calculated from confidence intervals.
hSDs were calculated from standard errors. Means and SDs for both intervention groups were combined (intervention 1: 898.82 kcal (SD 392); intervention 2: 841.31 kcal (SD 82.07)).
iMeans and SDs for both intervention groups were combined (intervention 1: 1334.72 kcal (SD 621); intervention 2: 1256.37 kcal (SD 689)).
jData were obtained from the study authors (Temple 2010).
kThe authors also evaluated another labelling intervention (high energy label on a low energy cookie) that was not eligible for inclusion in this review.
lThese data were converted kcal using formula presented in DeGroot 2012.
mThe authors also evaluated another labelling intervention (green 'low fat' label on high fat popcorn) that is not reported here (see Table 5).
nMeans and SDs for two types of popcorn (toffee and salted), reported separately in the paper, were combined.
oThe authors also evaluated two other labelling interventions (low fat label with and without energy information on high fat snacks) that is not reported here (see Table 5).
pMeans and SDs for both intervention groups were combined (intervention 1: 219.21 (SD 133); intervention 2: 232.61 (SD 144)). These data were then converted kcal using formula presented in DeGroot 2012.
qThese data were converted kcal using formula presented in DeGroot 2012.

Figuras y tablas -
Table 4. Studies that assessed labelling vs no labelling on food or drinks consumed in laboratory settings
Table 5. Studies that assessed potential harms (indirectly): 'low fat' or low energy labels on high‐energy snacks

Reference and study design

Participants and setting

Intervention/comparison (sample sizes)

Outcome

Results

Summary effect

Crockett 2014

RCT

Adults

Experimental study at a cinema

Green 'low fat' label on side of container containing high‐fat popcorn (n = 103) vs no label (n = 88)

Mean kcal consumed from snack of popcorn

402.44 kcal (SD 288.68) vs 468.07 kcal (SD 361.93)

SMD −0.20 (95% CI −0.48 to 0.08)

Ebneter 2013

RCT

Female university students

Experimental study at a university

Low fat label ('new low fat M&M's') on glass container containing M&M's (n = 49) vs no energy information label ('new colours of regular M&M's') (n = 38)

Mean kcal consumed during snack of M&M's

192.34 kcal (SD 145.53) vs165.88 kcal (SD 141.5)

SMD 0.18 (95% CI−0.25 to 0.61)

Girz 2012 ‐ study 1

RCT

Female university students

Experimental (laboratory) study at a university

Lower energy label (600 kcal) on high‐energy salad and pasta (actually 1200 kcal) (n = 56) vs no label (n = 49)a

Mean kcal consumed during a meal (salad and pasta)

400.26 kcal (SD 199.8) vs 420.19 kcal (SD 233.69)

SMD −0.09 (95% CI −0.47 to 0.29)

Wansink 2006 ‐ study 1

Q‐RCT

Students and their families

Experimental study at a university

Low fat label ('new low fat M&M's') on glass container containing M&M's vs no energy information label ('new colours of regular M&M's') (n = 269 overall (n by group not reported))

Mean kcal consumed from snack of M&M's

Mean 244 kcal (SD not reported) vs 190 kcal (SD not reported)

SMD 0.44 (95% CI 0.20 to 0.68)b

Wansink 2006 ‐ study 3

Q‐RCT

University staff, graduates and undergraduates

Experimental study at a university

Low fat label ('Low‐Fat Rocky Mountain Granola') on zip lock bag vs no label ('Regular Rocky Mountain Granola') (n = 66 overall (n by group not reported))

Mean kcal consumed from snack of granola

Mean 249 kcal (SD not reported) vs 165 kcal (SD not reported)

SMD 0.69 (95% CI 0.20 to 1.18)c

aData were extracted for those who chose pasta or salad when it was inaccurately as '600 calories'.
bSMD was calculated based on F‐test data reported in the text.
cSMD was calculated based on F‐test data reported in the text.

Figuras y tablas -
Table 5. Studies that assessed potential harms (indirectly): 'low fat' or low energy labels on high‐energy snacks
Comparison 1. Labelling on menus vs no labelling in restaurants

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1.1 Energy (kcal) of food purchased Show forest plot

3

1877

Mean Difference (IV, Random, 95% CI)

‐46.72 [‐78.35, ‐15.10]

Figuras y tablas -
Comparison 1. Labelling on menus vs no labelling in restaurants
Comparison 2. Labelling on menus or placed on a range of food options vs no labelling in laboratory settings

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

2.1 Energy (kcal) consumed during a meal Show forest plot

8

1705

Mean Difference (IV, Random, 95% CI)

‐50.27 [‐104.41, 3.88]

Figuras y tablas -
Comparison 2. Labelling on menus or placed on a range of food options vs no labelling in laboratory settings
Comparison 3. Labelling on menus vs no labelling in laboratory settings (studies with a low risk of bias)

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

3.1 Energy (kcal) consumed during a meal Show forest plot

3

547

Mean Difference (IV, Random, 95% CI)

‐72.04 [‐137.84, ‐6.25]

Figuras y tablas -
Comparison 3. Labelling on menus vs no labelling in laboratory settings (studies with a low risk of bias)
Comparison 4. Labelling of a single food or drink option vs no labelling in laboratory settings

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

4.1 Energy (kcal) consumption Show forest plot

6

732

Std. Mean Difference (IV, Random, 95% CI)

0.05 [‐0.17, 0.27]

Figuras y tablas -
Comparison 4. Labelling of a single food or drink option vs no labelling in laboratory settings
Comparison 5. Labelling of a single food or drink option vs no labelling in laboratory settings (studies at low risk of bias)

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

5.1 Energy (kcal) consumption Show forest plot

2

400

Std. Mean Difference (IV, Random, 95% CI)

‐0.06 [‐0.26, 0.15]

Figuras y tablas -
Comparison 5. Labelling of a single food or drink option vs no labelling in laboratory settings (studies at low risk of bias)
Comparison 6. Consumption in laboratory settings: subgroup analysis by dietary restraint (studies providing a range of food options)

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

6.1 Energy (kcal) consumed during a meal Show forest plot

2

267

Mean Difference (IV, Random, 95% CI)

15.48 [‐20.08, 51.04]

6.1.1 Restrained eaters

2

129

Mean Difference (IV, Random, 95% CI)

20.87 [‐37.44, 79.18]

6.1.2 Unrestrained eaters

2

138

Mean Difference (IV, Random, 95% CI)

10.98 [‐38.85, 60.81]

Figuras y tablas -
Comparison 6. Consumption in laboratory settings: subgroup analysis by dietary restraint (studies providing a range of food options)
Comparison 7. Consumption in laboratory settings: subgroup analysis by dietary restraint (study providing a single food option)

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

7.1 Energy (kcal) consumed during a snack Show forest plot

1

Std. Mean Difference (IV, Random, 95% CI)

‐0.17 [‐0.63, 0.28]

7.1.1 Restrained eaters

1

Std. Mean Difference (IV, Random, 95% CI)

‐0.44 [‐0.94, 0.05]

7.1.2 Urestrained eaters

1

Std. Mean Difference (IV, Random, 95% CI)

0.03 [‐0.34, 0.39]

Figuras y tablas -
Comparison 7. Consumption in laboratory settings: subgroup analysis by dietary restraint (study providing a single food option)
Comparison 8. Consumption in laboratory settings: subgroup analysis by study country (studies providing a range of food options)

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

8.1 Energy (kcal) consumed during a snack/meal Show forest plot

8

1705

Mean Difference (IV, Random, 95% CI)

‐50.28 [‐104.42, 3.87]

8.1.1 Studies conducted in the USA

5

895

Mean Difference (IV, Random, 95% CI)

‐70.57 [‐167.65, 26.52]

8.1.2 Studies conducted in other countries

3

810

Mean Difference (IV, Random, 95% CI)

‐58.18 [‐107.15, ‐9.21]

Figuras y tablas -
Comparison 8. Consumption in laboratory settings: subgroup analysis by study country (studies providing a range of food options)
Comparison 9. Consumption in laboratory settings: subgroup analysis by study country (studies providing single food option)

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

9.1 Energy (kcal) consumed during a snack/meal Show forest plot

6

732

Std. Mean Difference (IV, Random, 95% CI)

0.05 [‐0.17, 0.27]

9.1.1 Studies conducted in the USA

4

459

Std. Mean Difference (IV, Random, 95% CI)

0.14 [‐0.17, 0.45]

9.1.2 Studies conducted in other countries

2

273

Std. Mean Difference (IV, Random, 95% CI)

‐0.12 [‐0.36, 0.11]

Figuras y tablas -
Comparison 9. Consumption in laboratory settings: subgroup analysis by study country (studies providing single food option)
Comparison 10. Low fat (or energy) labelling vs no labelling on high‐energy foods

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

10.1 Energy (kcal) consumed during a snack/meal in laboratory settings Show forest plot

5

718

Std. Mean Difference (IV, Random, 95% CI)

0.19 [‐0.14, 0.51]

Figuras y tablas -
Comparison 10. Low fat (or energy) labelling vs no labelling on high‐energy foods