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Referencias

Dichi 2011 {published and unpublished data}

Dichi, IS. Ingestion of soybean or fish increases adiponectin and nitric oxide levels and decreases blood pressure in women with metabolic syndrome. In: Journal of Diabetes. Vol. Conference (var.pagings): April. 2011. CENTRAL

Djuric 2006 {published data only}

Chen G,  Heilbrun LK,  Venkatramanamoorthy R,  Maranci V,  Redd JN,  Klurfeld DM et al. Effects of low-fat and/or high-fruit-and-vegetable diets on plasma levels of 8-isoprostane-F2alpha in the Nutrition and Breast Health study. Nutrition and Cancer 2004;50(2):155-60. CENTRAL
Djuric Z,  Chen G,  Ren J,  Venkatramanamoorthy R,  Covington CY,  Kucuk O et al. Effects of high fruit-vegetable and/or low-fat intervention on breast nipple aspirate fluid micronutrient levels. Cancer Epidemiology, Biomarkers and Prevention 2007;16(7):1393-9. CENTRAL
Djuric Z, Ren J, Mekhovich O, Venkatranamoorthy R, Heilbrun LK. Effects of high fruit-vegetable and/or low-fat intervention on plasma micronutrient levels. Journal of the American College of Nutrition 2006;25(3):178-87. CENTRAL

Finley 2007 {published data only}

Finley JW,  Burrell JB,  Reeves PG. Pinto bean consumption changes SCFA profiles in fecal fermentations, bacterial populations of the lower bowel, and lipid profiles in blood of humans. Journal of Nutrition 2007;137(11):2391-8. CENTRAL

Fujioka 2006 {published data only}

Fujioka KG. The effects of grapefruit on weight and insulin resistance: Relationship to the metabolic syndrome. Journal of Medicinal Food 2006;9(1):49-54. CENTRAL

Gardner 2007 {published data only}

Gardner CD,  Lawson LD,  Block E,  Chatterjee LM,  Kiazand A,  Balise RR et al. Effect of raw garlic vs commercial garlic supplements on plasma lipid concentrations in adults with moderate hypercholesterolemia: a randomized clinical trial. Archives of Internal Medicine 2007;167(4):346-53. CENTRAL

Gravel 2009 {unpublished data only}

Gravel K, Lemieux S, Asselin G, Lemay A, West G, Forest JC et al. Does legumes consumption in a real life context can improve components of metabolic syndrome?. A randomized controlled trial. Journal of Diabetes Conference (var.pagings): April 2009;1:A277. CENTRAL

John 2002 {published data only}

John JH,  Ziebland S,  Yudkin P,  Roe LS,  Neil HA. Effects of fruit and vegetable consumption on plasma antioxidant concentrations and blood pressure: a randomised controlled trial. Lancet 2002;359(9322):1969-74. CENTRAL

Maskarinec 1999 {published data only}

Maskarinec G,  Chan CL,  Meng L,  Franke AA,  Cooney RV. Exploring the feasibility and effects of a high-fruit and -vegetable diet in healthy women. Cancer Epidemiology and Biomarkers & Prevention 1999;8(10):919-24. CENTRAL

Smith‐Warner 2000 {published data only}

Smith-Warner SA,  Elmer PJ,  Tharp TM,  Fosdick L,  Randall B,  Gross M et al. Increasing vegetable and fruit intake: randomized intervention and monitoring in an at-risk population. Cancer Epidemiology and Biomarkers & Prevention 2000;9(3):307-17. CENTRAL

Thies 2012 {published data only}

Thies F, Masson LF, Rudd A, Vaughan N, Tsang C, Brittenden J et al. Effect of a tomato-rich diet on markers of cardiovascular disease risk in moderately overweight, disease-free, middle-aged adults: a randomized controlled trial. The American Journal of Clinical Nutrition 2012;95(5):1013-22. CENTRAL

References to studies excluded from this review

Ali 1995 {published data only}

Ali MT. Consumption of a garlic clove a day could be beneficial in preventing thrombosis. Prostaglandins Leukotrienes and Essential Fatty Acids 1995;53(3):211-2. CENTRAL

Appel 2000 {published data only}

Appel LJ,  Miller ER 3rd,  Jee SH,  Stolzenberg-Solomon R,  Lin PH,  Erlinger T et al. Effect of dietary patterns on serum homocysteine: results of a randomized, controlled feeding study. Circulation 2000;102(8):852-7. CENTRAL

Beresford 2001 {published data only}

Beresford S, Thompson B, Feng Z, Christianson A, McLerran D, Patrick D. Seattle 5 a Day worksite program to increase fruit and vegetable consumption. Preventive Medicine 2001;32(3):230-8. CENTRAL

Blum 2007 {published data only}

Blum A,  Monir M,  Khazim K,  Peleg A,  Blum N. Tomato-rich (Mediterranean) diet does not modify inflammatory markers. Clinical & Investigative Medicine - Medecine Clinique et Experimentale 2007;30(2):E70-E74. CENTRAL

Broekmans 2000 {published data only}

Broekmans WMR. Fruits and vegetables increase plasma carotenoids and vitamins and decrease homocysteine in humans. Journal of Nutrition 2000;130(6):1578-83. CENTRAL

DASH 1995 {published data only}

Sacks FM,  Obarzanek E,  Windhauser MM,  Svetkey LP,  Vollmer WM,  McCullough M et al. Rationale and design of the Dietary Approaches to Stop Hypertension trial (DASH). A multicenter controlled-feeding study of dietary patterns to lower blood pressure. Annals of Epidemiology 1995;5(2):108-18. CENTRAL
Yarmohammadi H, Turban SI, Appel L. Effect of dietary patterns on blood pressure variability. Journal of the American College of Cardiology 2012;59:E1631. CENTRAL

Fielding 2005 {published data only}

Fielding JM,  Rowley KG,  Cooper P,  O' Dea K. Increases in plasma lycopene concentration after consumption of tomatoes cooked with olive oil. Asia Pacific Journal of Clinical Nutrition 2005;14(2):131-6. CENTRAL

Fuemmeler 2006 {published data only}

Fuemmeler BF, Masse LC, Yaroch A, Resnicow K, Campbell MK, Carr C et al. Psychosocial mediation of fruit and vegetable consumption in the body and soul effectiveness trial. Health Psychology 2006;25(4):474-83. CENTRAL

Havas 2003 {published data only}

Havas S, Anliker J, Breenberg D, Block G, Block T, Blik C et al. Final results of the Maryland WIC Food for life programme. Preventive Medicine 2003;37(5):406-16. CENTRAL

Lehtonen 2010 {published data only (unpublished sought but not used)}

Lehtonen HM, Suomela JP, Tahvonen R, Vaarno J, Venojarvi M, Viikari J et al. Berry meals and risk factors associated with metabolic syndrome. European Journal of Clinical Nutrition 2010;64(6):1-8. CENTRAL

Lutz 1999 {published data only}

Lutz SF, Ammerman AS, Atwood JR, Campbell MK, DeVellis RF, Rosamond WD. Innovative newsletter interventions improve fruit and vegetable consumption in healthy adults. Journal of the American Dietetic Association 1999;99(6):705-9. CENTRAL

Nomikos 2007 {published data only}

Nomikos TD. Boiled wild artichoke reduces postprandial glycemic and insulinemic responses in normal subjects but has no effect on metabolic syndrome patients. Nutrition Research 2007;27(12):741-9. CENTRAL

Porrini 2011 {unpublished data only}

Porrini M. Effect of wild blueberry intake on reduction of cardiovascular risk factors. ISRCTN47732406. CENTRAL

Rock 2001 {published data only}

Rock CL, Moskowitz A, Huizer B, Saenz CC, Clark JT, Daly TL et al. High vegetable and fruit diet intervention in premenopausal women with cervical intraepithelial neoplasia. Journal of the American Dietetic Association 2001;101(10):1167-74. CENTRAL

Singh 1992 {published data only}

Singh R, Rastogi S, Singh R, Ghosh S, Niaz M. Effects of guava intake on serum total and high-density lipoprotein cholesterol levels and on systemic blood pressure. American Journal of Cardiology 1992;70(15):1287-91. CENTRAL

Sorensen 1999 {published data only}

Sorensen G, Stoddard A, Peterson K, Cohen N, Hunt MK, Stein E et al. Increasing fruit and vegetable consumption through worksites and families in the treatwell 5-a-day study. American Journal of Public Health 1999;89(1):54-60. CENTRAL

Staten 2004 {published data only}

Staten LK, Gregory-Mercado KY, Ranger-Moore J, Will JC, Giuliano AR, Ford ES et al. Provider counseling, health education and community health workers: the Arizona WISEWOMAN project. Journal of Women's Health 2004;13(5):547-56. CENTRAL

Steptoe 2004 {published data only}

Steptoe A, Perkins-Porras L, Hilton S, Rink E, Cappuccio FP. Quality of life and self-rated health in relation to changes in fruit and vegetable intake and in plasma vitamins C and E in a randomised trial of behavioural and nutritional education counselling. British Journal of Nutrition 2004;92:177-84. CENTRAL

Svetkey 2003 {published data only}

Svetkey LP,  Harsha DW,  Vollmer WM,  Stevens VJ,  Obarzanek E,  Elmer PJ et al. Premier: a clinical trial of comprehensive lifestyle modification for blood pressure control: rationale, design and baseline characteristics. Annals of Epidemiology  2003 ;13(6):462-71. CENTRAL

Takai 2003 {published data only}

Takai M,  Suido H,  Tanaka T,  Kotani M,  Fujita A,  Takeuchi A et al. LDL-cholesterol-lowering effect of a mixed green vegetable and fruit beverage containing broccoli and cabbage in hypercholesterolemic subjects. Rinsho Byori - Japanese Journal of Clinical Pathology 2003;51(11):1073-83. CENTRAL

Thomson 2011 {unpublished data only}

 Thomson C. A grapefruit feeding trial in healthy, overweight adults. NCT01452841. CENTRAL

Verlangieri 1985 {published data only}

Verlangieri AJ,  Kapeghian JC,  el-Dean S,  Bush M. Fruit and vegetable consumption and cardiovascular mortality. Medical Hypotheses 1985;16(1):7-15. CENTRAL

WHI {published data only}

Howard BV,  Van Horn L,  Hsia J,  Manson JE,  Stefanick ML,  Wassertheil-Smoller S et al. Low-fat dietary pattern and risk of cardiovascular disease: the Women's Health Initiative Randomized Controlled Dietary Modification Trial. JAMA 2006;295(6):655-66. CENTRAL
White E,  Shattuck AL,  Kristal AR,  Urban N,  Prentice RL,  Henderson MM et al. Maintenance of a low-fat diet: follow-up of the Women's Health Trial. Cancer Epidemiology, Biomarkers and Prevention 1992;1(4):315-23. CENTRAL

Winham 2007 {published data only}

Winham DM,  Hutchins AM,  Johnston CS. Pinto bean consumption reduces biomarkers for heart disease risk. Journal of the American College of Nutrition 2007;26(3):243-9. CENTRAL

References to studies awaiting assessment

George 2009 {published data only}

George TW, Niwat C, Waroonphan S, Gordon MH, Lovegrove JA, Paterson E. Effects of chronic and acute fruit and vegetable juice consumption on cardiovascular disease risk factors. Ii International Symposium on Human Health Effects of Fruits and Vegetables: Favhealth 2007 2009;841:201-6. CENTRAL

Groen 1952 {published data only}

Groen J, Tjiong BK. The influence of nutrition, individuality and some other factors, including various forms of stress, on the serum cholesterol; an experiment of 9 months' duration in 60 normal human volunteers. Voeding 1952;13(11):556-87. CENTRAL

Teeple (2011) {unpublished data only}

Teeple JA, Kaume L, Gbur E, Devareddy L. Antioxidant-rich berries reduce inflammation and oxidative stress in postmenopausal smokers. FASEB Journal 2011;25:339.3. CENTRAL

Wallace 2012 {published data only}

Wallace IR, McEvoy CT, Amill LL, Ennis CN, Bell PM, Hunter SJ et al. Dose-response effect of fruit and vegetables on insulin resistance in healthy people who are overweight and at high risk of cardiovascular disease: A randomised controlled trial.. Diabetes 2012;61:A187. CENTRAL

Wang 2011 {published data only}

Wang L, Bordi PL, Rothblat GH, Sankaranarayanan S, Fleming JA, Kris-Etherton PM. The effect of one avocado per day on established and emerging cardiovascular disease (CVD) risk factors: study design. The FASEB Journal 2011;25:971.5. CENTRAL

Agudo 2004

Agudo A. Measuring intake of fruit and vegetables. Background paper for Joint FAO/WHO Workshop on Fruit and Vegetables for Health. 1-3 September 2004. Kobe, Japan.

Ajzen 1991

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

Ammerman 2002

Ammerman AS,  Lindquist CH,  Lohr KN,  Hersey J. The efficacy of behavioural interventions to modify dietary fat and fruit and vegetable intake: a review of the evidence. Preventive Medicine 2002;35(1):25-41.

Anderson 1994

Anderson AS, Marshall D, Lean ME, Foster A. Five a day? Factors affecting fruit and vegetable consumption in Scotland. Nutrition and Food Sciences 1994;5:14-6.

Asgard 2007

Asgard R, Rytter E, Basu S, Abramsson-Zettererg L, Moller L, Vessby B. High intake of fruit and vegetables is related to low oxidative stress and inflammation in a group of patients with type 2 diabetes. Scandinavian Joutnal of Food & Nutrition 2007;51(4):149-58.

Bandura 1986

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

Bazzano 2002

Bazzano LA, He J, Ogden LG, Loria CM, Vupputuri S, Myers L et al. Friut and vegetable intake and risk of cardiovascular disease in U.S Adults: the first National Health and Nutrition Examination Survey Epidemiologic Follow-up Study. American Journal of Clinical Nutrition 2002;76(1):93-9.

Begg 2007

Begg S, Vos T, Barker B, Stevenson C, Stanley L, Lopez A. The burden of disease and injury in Australia 2003. Cat. no. PHE 82. Canberra: AIHW2007.

Blanchflower 2012

Blanchflower DG, Oswald AJ, Stewart-Brown S. Is psychological well-being linked to the consumption of fruit and vegetables?The Warwick Economics Research Paper Series (TWERPS) 996, University of Warwick, Department of Economics.2012.

Brug 1995

Brug J, Debi S, van Assema P, Weijts W. Psychosocial determinants of fruit and vegetable consumption among adults: results of focus group interviews. Food Quality and Preference 1995;6(2):99-107.

Brunner 2007

Brunner E, Rees K, Ward K, Burke M, Thorogood M. Dietary advice for reducing cardiovascular risk. Cochrane Databaseof Systematic Reviews 2007;17(4):Art. No.: CD002128. DOI: 10.1002/14651858.CD002128.pub3.

Burchett 2003

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

Carter 2010

Carter P, Gray LJ, Troughton J, Khunti K, Davies MJ. Fruit and vegetable intake and incidence of type 2 diabetes mellitus: systematic review and meta-analysis. BMJ 2010;341:c4229.

Clark 1998

Clark JE. Taste and flavour: their importance in food choice and acceptance. Proceedings of the Nutrition Society 1998;57:639-43.

Contento 1995

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

Dauchet 2006

Dauchet L, Amouyel P, Hercberg S, Dallongeville J. Fruit and Vegetable Consumption and Risk of Cornary Heart Disease: A Meta-anlaysis of Cohort Studies. J Nutr 2006;136(10):2588-93.

Department of Health 2010

Department of Health (2010). 5 A DAY general information. Available at: http://webarchive.nationalarchives.gov.uk/+/www.dh.gov.uk/en/Publichealth/Healthimprovement/FiveADay/FiveADaygeneralinformation/DH_4002343. Accessed 27 October 2011.

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Egger M, Davey Smith G, Schneider M, Minder C. Bias in meta-analysis detected by a simple graphical test. BMJ 1997;315:629-34.

Ganann 2010

Ganann R, Fitzpatrick-Lewis D, Ciliska D, Dobbins M, Krishnaratne S, Beyers J et al. Community-based interventions for enhancing access to or consumption of fruit and vegetables (or both) among five to 18-year olds. Cochrane Database of Systematic Reviews 2010, Issue 8. Art. No: CD008644. [DOI: 10.1002/14651858.CD008644]

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Hooper L. Primary Prevention of CVD: diet and weight loss. Clinical Evidence (online) 2007;Oct1:0219.

Joshipura 2001

Joshipura KJ,  Hu FB,  Manson JE,  Stampfer MJ,  Rimm EB,  Speizer FE et al. The effect of fruit and vegetable intake on risk for coronary heart disease. Annals of Internal Medicine 2001;134(12):1106-14.

Law 1999

Law M, Wald N. Why heart disease mortality is low in France: the time lag explanation. BMJ 1999;318:1471-80.

Lennernas 1997

Lennernäs M,  Fjellström C,  Becker W,  Giachetti I,  Schmitt A,  Remaut de Winter A et al. Influences on food choice perceived to be important by nationally-representative samples of adults in the European union. European Journal of Clinical Nutrition 1997;51 (suppl) 2:S8-S15.

Liu 2000

Liu S, Manson JE, Lee IM, Cole SR, Hennekens CH, Willett WC et al. Fruit and vegetable intake and risk of cardiovascular disease: the Women's Health Study. American Journal of Clinical Nutrition 2000;72(4):922-8.

Liu 2001

Liu S,  Lee IM,  Ajani U,  Cole SR,  Buring JE,  Manson JE. Intake of vegetables rich in carotenoids and risk of coronary heart disease in men: the Physician's Health Study. International Journal of Epidemiology 2001;30(1):130-5.

Lock 2005

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

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Maheswaran H, Petrou S, Rees K, Stranges S. Estimating EQ-5D utility values for major health behavioural risk factors in England. Journal of Epidemiology and Community Health 2013;67(2):172-80. [DOI: 10.1136/jech-2012-201019]

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Miller He, Rigelhof F, Marquart L, Prakash A, Kanter M. Antioxidant content of whole grain breakfast cereal, fruit and vegetables. Journal of the American College of Nutrition 2000;19(3):312-9S.

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Miller M, Stafford H. An intervention portfolio to promote fruit and vegetable consumption; review of interventions. Melbourne, National Public Health Partnership2000:1-32.

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Müller-Nordhorn J, Binting S, Roll S, Willich S. An update on regional variation in cardiovascular mortality within Europe. European Heart Journal 2008;29:1316-26.

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Ness AR, Powles JW. Fruit and vegetables, and cardiovascular disease: a review. International Journal of Epidemiology 1997;26(1):1-13.

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Characteristics of studies

Characteristics of included studies [ordered by study ID]

Dichi 2011

Study characteristics

Methods

RCT (Parallel group design) involving provision of fruit and vegetables to increase consumption.

Participants

Sixty women with metabolic syndrome who were 47.9 (SD = 9.98) years old were recruited and randomised in to four arms ‐ control group who maintained their usual diet; 25 g/d of soy; 3 g/d of fish oil n‐3 fatty acids; or 3 g/d of fish oil n‐3 fatty acids plus 25 g/d soy. Fifteen participants were randomised to receive 25 g/d of soy and 15 participants were randomised to the control group.

Country of publication was Brazil.

Interventions

Soy group: received 25 g of soy a day.

Control group: followed their usual diet.

The follow‐up period was at the end of the intervention period of 90 days.

Outcomes

Blood pressure and lipid levels

Notes

Authors contacted for extra information on the diets used in the study and also for data on lipid levels and blood pressure for each point at which these were measured. Authors responded with all data requested.

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Not stated

Allocation concealment (selection bias)

Unclear risk

Not stated

Blinding of participants and personnel (performance bias)
All outcomes

Unclear risk

Not stated

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Not stated

Incomplete outcome data (attrition bias)
All outcomes

Unclear risk

Insufficient information to judge

Selective reporting (reporting bias)

Unclear risk

Insufficient information to judge

Other bias

Unclear risk

Insufficient information to judge

Djuric 2006

Study characteristics

Methods

RCT on advice to increase fruit and vegetable consumption

Participants

Post‐menopausal women who were 21‐50 years old were recruited by community advertisements. One hundred and twenty‐two women were randomly assigned in a 2x2 factorial design to four arms ‐ the control group; low‐fat diet; high fruit and vegetable diet; a combination of low‐fat and high fruit and vegetables diet.

Inclusion criteria: at least one first degree relative with breast cancer, current benign mammogram or breast exam with follow‐up recommendation of 1 year or more, no expected changes in the use of oral contraception, good general health, no expected changes in lifestyle during the study, fat intake of 25% of total energy or greater, fruit and vegetable intake of five or fewer servings per day.

Exclusion criteria: those taking supplements containing more than 150% of RDA's for vitamins and minerals.

Twenty‐seven participants were randomised to receive the fruit and vegetables diet and twenty participants were randomised to receive the control diet. The country of publication was the U.S.A.

Interventions

Fruit and vegetable group: received individualised in‐person counselling every 2 weeks initially by a trained dietician, then monthly, and monthly group meetings for the intervention period of 12 months. The goal for the high F&V arm was to increase F&V to 9 servings/day in a specified variety to increase carotenoid intake ‐ 1 serving of a dark green vegetable high in lutenin, 1 serving of a dark orange vegetable high in a‐carotene, 1 serving of a red product high in lycopene, 2 servings of other vegetables, 2 servings of vitamin C rich fruits, 2 servings of other fruits (1 serving defined as approximately 60 kcal for fruit and 25 kcal for most vegetables). Monthly meetings provided additional education on a variety of topics consistent with their dietary assignment.

Control group: no dietary counselling and were told they should continue their usual diet. They received a one page daily food guide pyramid as a guide for healthy eating but this was not discussed. Follow‐up was at 12 months. 

Outcomes

Lipid levels

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Randomisation method not stated

Allocation concealment (selection bias)

Unclear risk

Not stated

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Not stated but impossible to blind participants and personnel to advice

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Laboratory personnel were blinded to diet arm assignment

Incomplete outcome data (attrition bias)
All outcomes

Unclear risk

Intention‐to‐treat analysis conducted but no reasons for loss to follow‐up reported

Selective reporting (reporting bias)

Unclear risk

Insufficient information to judge

Other bias

Unclear risk

Insufficient information to judge

Finley 2007

Study characteristics

Methods

RCT involving the provision of fruit and vegetable to increase consumption

Participants

Men and women aged 18‐55 years who were either pre‐metabolic (defined as a waist circumference of ≥ 96.5 cm for men and ≥ 88.9 cm for women and at least one of the following: serum HDL‐C < 55 mg/dL; serum TG between 150 and 199 mg/dL; fasting blood glucose between 100 and 125 mg/dL; or BP between 120/85 and 140/85 mmHg.) or healthy were recruited locally by newspaper, radio, TV or Internet advertisements. Eighty participants were randomly assigned to two arms ‐ the provision of beans or chicken soup.

Inclusion criteria were: waist circumference for women of 88.9 cm or above and for men of 96.5 cm or above. Pre‐MetSyn patients also had to have at least 1 of the following ‐ serum HDL‐C < 55mg/dL, serum TG between 150‐199 mg/dL, fasting blood glucose between 100 and 125 mg/dL or BP between 120/85 and 140/85 mm Hg. Healthy participants had values in the normal parameters.

Exclusion criteria ‐ those with a possible need for medical attention and those who had taken antibiotics within 6 months of the start of the study.

Forty participants were randomised to receive beans and forty were randomised to receive chicken noodle soup. Participants lived at home and consumed their own self‐selected diets with restrictions that included no beans of any type except those provided by the study, no dietary supplements, no pre‐ or probiotic foods or supplements, and no prescription or over‐the‐counter medication to reduce intestinal gases.

Country of publication was the U.S.A.

Interventions

Participants were asked to add one of four different bean or soup entrees per day to their normal diet. The entrees included with either beans or soup prepared by the Grand Forks Human Nutrition Research Centre.

Bean entree group: standard serving of cooked pinto beans (130 g or 1/2 cup) canned by Bush Brothers

Soup group: chicken soup entree that was isonitrogenous and isocaloric as near as possible to the bean entree.

The follow‐up period was at the end of the intervention period of 12 weeks. This does not include the 4‐week equilibration period.

Outcomes

Lipid levels

Notes

Author contacted for extra information on numbers for lipid levels but the contact author had died and the leading author did not reply. The leading author was contacted twice via email.

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Not enough information provided and randomisation method not stated

Allocation concealment (selection bias)

Unclear risk

Not stated

Blinding of participants and personnel (performance bias)
All outcomes

Unclear risk

Not stated

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Not stated

Incomplete outcome data (attrition bias)
All outcomes

Unclear risk

No intention‐to‐treat analysis and little information on attrition rates. No reasons given as to why participants dropped out or which group they were in.

Selective reporting (reporting bias)

High risk

The numbers for lipid levels were not reported. Information on lipid levels were provided in a graph but without precise numbers and only a P value.

Other bias

Unclear risk

Insufficient information to judge

Fujioka 2006

Study characteristics

Methods

RCT of the provision of fruit and vegetables to increase consumption

Participants

Obese male and female patients with a BMI between 30 and 40 kg/m² recruited from a single centre through advertisements and flyers in rooms of primary care physicians. Ninety‐one participants were randomised to four arms ‐ placebo capsules plus 7 ounces of apple juice; grapefruit capsules with 7 ounces of apple juice; 8 ounces of grapefruit juice with placebo capsules; and half a fresh grapefruit with placebo capsules.

Inclusion criteria: BMI between 30 and 40 kg/m2, stable weight in a 3 kg range in 3 months prior to study enrolment, willing to eat grapefruit and avoid other citrus products.

Exclusion criteria: Type 1 or 2 diabetes, those who have had gastrointestinal surgery for obesity, moderate to severe gastrointestinal disorder, known liver disease, chronic renal disease or cardiovascular disease. Also, those using cholesterol medications, planning on changing smoking habits, or using medications known to interact with grapefruit.

Twenty‐four participants were randomised to receive fresh grapefruit plus placebo capsules (18 women, 6 men; 16 Caucasian, 5 Black, 0 Asian, 2 Hispanic, 1 other; Mean BMI = 36.8 (5.55)) and twenty‐two participants were randomised to receive the placebo capsules plus apple juice (20 women, 2 men;16 Caucasian, 4 Black, 0 Asian, 2 Hispanic, 0 other; Mean BMI = 34.5 (3.05)).

Country of publication was the U.S.A.

Interventions

Fresh grapefruit group: half a fresh grapefruit and a placebo capsule consumed 3 times a day before each meal. The fresh grapefruit was prepared by cutting it in half and then into four smaller pieces. The skin was pulled off and discarded and the rest of the grapefruit was eaten. Placebo group: placebo capsules plus 7 ounces (207 mL) of apple juice. The apple juice was reconstituted from frozen concentrate. The juice was supplied in individual servings and participants were provided with a 2‐4 week supply at a time. All participants were encouraged to walk 20‐30 minutes 3 or 4 times a week and consume their usual diet. The follow‐up period was 12 weeks.

Outcomes

BP, lipid levels, adverse effects

Notes

Author contacted for extra data (standard deviations for BP and lipid levels at baseline and follow‐up). The author did respond but was unable to provide the data requested.

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Random number table

Allocation concealment (selection bias)

Unclear risk

Not stated

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

States double‐blind and uses a placebo

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

States double blind

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Missing outcome data reasonable well balanced across groups

Selective reporting (reporting bias)

Low risk

Primary and secondary outcomes clearly stated and reported.

Other bias

Unclear risk

Insufficient information to judge

Gardner 2007

Study characteristics

Methods

RCT (parallel group design) involving the provision of fruit and vegetables for increased consumption

Participants

Adults aged 30‐65 years recruited from the local community through advertisements with low‐density lipoprotein cholesterol (LDL‐C) concentrations of 130‐190 mg/dL, triglyceride levels less than 250 mg/dL and a BMI of 19‐30. One hundred and ninety‐two participants were randomised to four arms: raw garlic; powdered garlic supplement; aged garlic extract supplement; and placebo.

Exclusion criteria: Self‐reported pregnancy, lactation, current smoking, prevalent heart disease, cancer, renal disorder, diabetes mellitus, use of lipid or antihypertensive medication.

Forty‐nine participants were randomised to receive raw garlic (27 women and 22 men; age 40 ± 9; non‐Hispanic white 36, non‐Hispanic black 2, non‐Hispanic Asian 9, Hispanic 1, other or not disclosed 1; BMI 25 ± 3) and forty‐eight participants were randomised to receive the placebo (24 women and 24 men; age 49 ± 9; non‐Hispanic white 31, non‐Hispanic black 0, non‐Hispanic Asian 7, Hispanic 8, other or not disclosed 8; BMI 25 ± 3). The country of publication was the U.S.A.

Interventions

All groups consumed their intervention for 6 days a week for 6 months.

Raw garlic group: 4.0 g of blended raw garlic ( an averaged‐sized clove crushed in a blender). Individually packaged aliquots of raw garlic were frozen at ‐80ºC. After distribution these were thawed and mixed with condiments to be served in sandwiches. All sandwiches were prepared and distributed by the General Clinical Research Centre. Participants were instructed to heat bread or filling as desired but not to heat condiment as it contained the raw garlic. Twelve types of sandwiches were prepared that were designed to contain approximately 375 kcal (mean and SD 373 ± 21 kcal) with no more than 10% energy from saturated fat. Identical sandwiches were also served to those not in the raw garlic group but these did not have garlic mixed into the condiments.

Placebo group: 4‐6 placebo tablets 6 days a week. The follow‐up period was at the end of the intervention period of 6 months.

Outcomes

Adverse effects and lipid levels

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Research assistant drawing assignments in blocks of 24 without replacement until all 24 allocations were assigned

Allocation concealment (selection bias)

Low risk

Opaque envelopes

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

Investigators and participants were blinded

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

States that laboratory staff conducting analyses were blinded

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Used intention‐to‐treat analysis and missing data were reasonably well balanced between groups

Selective reporting (reporting bias)

Low risk

Primary and secondary outcomes clearly stated and reported.

Other bias

Unclear risk

Insufficient information to judge

Gravel 2009

Study characteristics

Methods

RCT of the provision of fruit and vegetables to increase consumption

Participants

One hundred and thirty‐four women with abnormal metabolic profile were recruited and randomised to two arms ‐ 750 mL of legumes per week or a control group who ate meals without legumes. Country of publication was Canada.

Interventions

Intervention group: 750 mL of legumes per week

Control group: Control meals without legumes

Follow‐up period was at 24 weeks

Outcomes

BP and lipid levels

Notes

The author was contacted for extra information on the diet each group followed and for data on lipid levels and blood pressure at each point measured. This was done twice via email. The author did not respond.

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Not stated

Allocation concealment (selection bias)

Unclear risk

Not stated

Blinding of participants and personnel (performance bias)
All outcomes

Unclear risk

Not stated

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Not stated

Incomplete outcome data (attrition bias)
All outcomes

Unclear risk

Insufficient information to judge

Selective reporting (reporting bias)

Unclear risk

Insufficient information to judge

Other bias

Unclear risk

Insufficient information to judge

John 2002

Study characteristics

Methods

RCT on advice to increase fruit and vegetable consumption.

Participants

Men and women aged 25‐64 without serious chronic illnesses were recruited through the lists of two general practices based in a healthcare centre. Seven hundred and twenty‐nine participants were recruited and randomised to two arms ‐ advice to eat more fruit and vegetables (5 or more portions a day) or to the control group who where asked to continue as usual.

Exclusion criteria: cardiovascular diseases, gastrointestinal diseases, cancer, serious psychiatric disorders, hypercholesterolaemia, patients who had undergone a recent traumatic event, those unable to give informed consent, those using dietary supplements, pregnant, those attempting to conceive.

Three hundred and sixty‐four participants were randomised to receive fruit and vegetable advice (161 women and 183 men; age 45.7 ± 10.1; current smoker 16%; male BMI 26.1 ± 3.2, female BMI 25.4 ± 4.6) and three hundred and sixty‐five participants were randomised to continue as usual (191 women and 155 men; age 46.0 ± 10.1; current smoker 17%; male BMI 26.7 ± 3.6, female BMI 25.3 ± 4.6). The country of publication was the UK.

Interventions

Health checks done at both visits by study research nurse for both groups of participants.

Fruit and vegetable advice group: Brief negotiation method in which research nurse introduced the benefits of eating more fruit and vegetables and presented a pictorial portion guide (portion was defined as 80 g serving). Method was used to encourage participants to identify specific and practical ways to eat more fruit and vegetables with the recommendation being the consumption of 5 or more portions a day. Participants were also provided with leaflets and other materials that addressed barriers in eating more fruit and vegetables and were asked to discuss any potential barriers. For those who thought that five portions a day was an unrealistic goal a lower target was set while those who already ate five or more portions of fruit and vegetables a day were given a leaflet on the importance of eating a variety of these. Each participant was also given an action plan, a magnet with the 5‐a‐day logo, a portion guide and a 2‐week self‐monitoring record book. The intervention took about 25 minutes. Two weeks after the intervention the research nurse telephoned participants to reinforce the message and discuss any problems. At three months a letter was sent to participants to reinforce the 5‐a‐day message along with a booklet of seasonal recipes and a strategy check list that suggested ways of incorporating extra portions into their diet.

Control group: received the same health check but the nurse explained that they would receive specific advice at their 6‐month follow‐up appointment. They were asked to carry on as usual. The follow‐up period was 6 months.

Outcomes

BP

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Computer‐generated randomisation list

Allocation concealment (selection bias)

Unclear risk

Not stated

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Not stated but impossible to blind participants and personnel to advice

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Laboratories were masked to patient assignment

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Used Intention‐to‐treat analysis. At baseline there were more men in the intervention group than controls. Reasons for losses to follow‐up reported

Selective reporting (reporting bias)

Unclear risk

Insufficient information to judge

Other bias

Unclear risk

Insufficient information to judge

Maskarinec 1999

Study characteristics

Methods

RCT of advice to increase fruit and vegetable consumption

Participants

Healthy women at least 35 years old were recruited from an ongoing observational study. Thirty‐three women were randomised to 2 arms ‐ an individualised dietary counselling program or to nutritional counselling based on published guidelines.

Inclusion criteria: Not taking a high dose vitamin supplement, be free from chronic conditions and have at least 50% mammographic densities, eating less than 5 daily servings of fruit and vegetables and be at least 35 years old.

Sixteen participants were randomised to receive individual counselling (47.6 years; 11 Asian, 3 Chinese, 8 Japanese, 1 Caucasian, 1 Afro‐American) and seventeen participants were randomised to nutritional counselling (50.2 years: 11 Asian, 5 Chinese, 4 Caucasian, 3 Filipino, 3 Japanese, 1 Vietnamese). The country of publication was the U.S.A.

Interventions

Participants in both groups were instructed to consume the same number of calories as before and to avoid weight gain.

Individual Counselling Group: individualised dietary counselling program developed to incorporate at least 9 servings of fruits and vegetables daily. The emphasis was on achieving the goal of 9 servings with the following recommendations on the type of fruits and vegetables: 3 servings of vitamin C fruits, 1 other fruit, 1 tomato product, 1 dark green vegetable, 1 yellow‐orange vegetable, and 2 other vegetables. The definition of a serving was the same as used by the United States Department of Agriculture: 1 cup of raw or 1/2 cup of cooked vegetables or 3/4 cup of juice, 1 medium‐sized fruit or 1/2 cup of fresh, cooked, or canned fruit or 3/4 cup of juice. A dietitian provided advice on purchasing produce, recipes, and easy‐to‐prepare dishes. Participants were also invited to attend group meetings with cooking instructions and demonstrations every month.

Nutritional Counselling: nutritional counselling based on published guidelines on how to maintain a healthy diet

The follow‐up period was 6 months from the start of the intervention period.

Outcomes

Lipid levels

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

No information. Only states that trial was randomised

Allocation concealment (selection bias)

Unclear risk

No information provided

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Participants: Not stated but impossible to blind participants and personnel to advice

Physicians: Not stated

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Lab technicians were blinded to outcome assessment

Incomplete outcome data (attrition bias)
All outcomes

Unclear risk

No reasons for missing data provided

Selective reporting (reporting bias)

High risk

Although lipid levels have been reported their analysis was not mentioned in the section of the paper reporting statistical analyses

Other bias

Unclear risk

Insufficient information to judge

Smith‐Warner 2000

Study characteristics

Methods

RCT on advice to increase fruit and vegetable consumption

Participants

Digestive healthcare patients aged 30‐74 years recruited from a large community based gastroenterology practice. Two hundred and one participants were randomised to two arms ‐ Those asked to increase fruit and vegetable intake to at least eight servings per day or to continue their usual diet.

Inclusion criteria: a diagnosis of colorectal adenomatous polyps in the preceding five years.

Exclusion criteria: body weight > 150% of desirable weight‐for‐height, medical conditions including gastrointestinal disorders, diabetes mellitus, cardiovascular disease, cancer or any serious health condition that would limit participation, those following diabetic, vegetarian and renal‐disease diets, those with food sensitivities, those with plans to relocate or travel extensively, involvement in any other study requiring dietary change, pregnant women, consumption of >35 alcoholic beverages a week, urinary protein levels of ≥ 30 mg/dL, urinary glucose levels of ≥ 0.25 g/dL and refusal to participate or sign consent.

One hundred participants were randomised to receive advice to increase fruit and vegetable intake (age 58.6; 71% men, 99% white; 17% smokers; Men BMI 28.3, Women BMI 25.8) and one hundred and one participants randomised to continue their usual diet (age 60.0; 71.3% men, 99% white; 17.8% smokers; Men BMI 28.4, Women BMI 26.2). The country of publication was the U.S.A.

Interventions

Advice group: Advice to increase fruit and vegetable consumption to at least 8 servings per day before 3‐month clinic visit. After randomisation participants met with a nutritionist to formulate a plan for gradually increasing fruit and vegetables. Initial goal was to increase fruit and vegetable consumption to at least 2 servings per day. Participants were also taught behaviour modification strategies to identify personal barriers to adherence and to develop plans to overcome these. Education materials such as tip sheets and cookbooks were also provided along with quarterly newsletters, and a list of high b‐carotene fruit and vegetables. Visit reminder cards, telephone follow‐up for rescheduling missed visits, refrigerator magnets, newsletters, “carrot” birthday cards, and fruit and vegetable calendars were used as memory prompts and to enhance participant identification with the project. Positive reinforcement and feedback was also used by the study team and the intervention attempted to enhance spousal and family support. After the initial visit to the nutritionist, participants visited the nutritionist for individual dietary advice an additional four times.

Control group: asked to follow usual diet

The follow ‐ up period was 1 year

Outcomes

BP, lipid levels and adverse effects

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Method of randomisation was not given

Allocation concealment (selection bias)

Unclear risk

Information on the method of allocation concealment was not provided

Blinding of participants and personnel (performance bias)
All outcomes

High risk

No information on blinding was provided but impossible to blind participants and personnel to advice

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

No information on blinding was provided

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Intention‐to‐treat analysis was used

Selective reporting (reporting bias)

Unclear risk

Insufficient information to judge

Other bias

Unclear risk

Insufficient information to judge

Thies 2012

Study characteristics

Methods

RCT of the provision of fruit and vegetables to increase consumption

Participants

Healthy men and women aged 40‐65 years were recruited from the surrounding community of Aberdeen. Two hundred and forty‐seven participants were recruited and randomised to three arms ‐ High tomato diet, Lycopene or the control group (low tomato diet).

Exclusion criteria: diagnosed CVD, diabetes, fasting blood glucose of > 7.0 mmol/L, asthma, SBP > 160 mmHg and DBP > 99 mmHg, or a thyroid condition.

Eighty‐four participants were randomised to receive the high tomato diet (age 51.0 ± 0.7) and eighty‐one participants were randomised to the control ( age 51.1 ± 0.7). The country of publication was the UK.

Interventions

Provision group: provided with tomato‐based products (tomato sauces, juice, ketchup, soup, puree and canned tomatoes) for 12 weeks. Aside from these products participants selected their own foods to eat.

Control group: Intake of tomato‐based products was restricted. Participants could not consume passata, canned tomatoes, cooked tomatoes, tomato paste, puree, pizza, salsa, chutney, canned beans, spaghetti, ravioli in tomato sauce, barbecue sauce, brown sauce, pink grapefruit, guava, watermelon and apricots. They could consume up to one portion of tomato soup, juice or sauce per week and either ≤ 4 raw tomatoes or 24 cherry tomatoes a week or ≤ one portion of tomato ketchup a week.

The follow‐up period was 12 weeks.

Outcomes

BP and lipids

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Method of randomisation was not given

Allocation concealment (selection bias)

Unclear risk

Information on the method of allocation concealment was not provided

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Single‐blind

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

No information was provided

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Number of drop‐outs given by group and reasonably well balanced across groups.

Selective reporting (reporting bias)

Low risk

Primary and secondary outcomes were clearly stated and reported

Other bias

Unclear risk

Insufficient information to judge

BP: blood pressure
CVD: cardiovascular disease
DBP: diastolic blood pressure
FV: fruit and vegetables
g/d: grams per day
HDL‐C: high‐density lipoprotein cholesterol
RCT: randomised controlled trial
SBP: systolic blood pressure
SD: standard deviation
TG: triglycerides

Characteristics of excluded studies [ordered by study ID]

Study

Reason for exclusion

Ali 1995

Not a randomised controlled trial

Appel 2000

No relevant outcomes reported

Beresford 2001

No relevant outcomes reported

Blum 2007

No relevant outcomes reported

Broekmans 2000

No relevant outcomes reported

DASH 1995

Short term

Fielding 2005

Not minimal control

Fuemmeler 2006

No relevant outcomes reported

Havas 2003

No relevant outcomes reported

Lehtonen 2010

Authors were contacted several times for information on the lifestyle intervention used in the study but there was no response. Due to this we have had to assume that the lifestyle intervention for the control group was not minimal and therefore excluded the study.

Lutz 1999

No relevant outcomes reported

Nomikos 2007

No relevant outcomes reported

Porrini 2011

Ongoing trial. Period of follow‐up less than 3 months

Rock 2001

No relevant outcomes reported

Singh 1992

BMJ claims fraudulent data.

http://www.bmj.com/content/suppl/2005/07/28/331.7511.281.DC1

Sorensen 1999

No relevant outcomes reported

Staten 2004

Multifactorial intervention

Steptoe 2004

Not minimal control

Svetkey 2003

Multifactorial intervention and includes weight loss

Takai 2003

Not minimal control

Thomson 2011

Ongoing trial. Period of follow‐up less than 3 months

Verlangieri 1985

Not a randomised controlled trial

WHI

Multifactorial intervention

Winham 2007

Not minimal control

Characteristics of studies awaiting classification [ordered by study ID]

George 2009

Methods

Two randomised, controlled, cross‐over, dietary intervention studies

Participants

In the first study there were 39 volunteers and in the second study there were 24 volunteers

Blood and urine samples were collected throughout both studies and real‐time measurements of vascular tone were performed using laser Doppler imaging with iontophoresis.

Interventions

In the first study the volunteers consumed 200 ml fruit and vegetable puree and juice based drinks (FVPJ), or fruit‐flavoured control, daily for six weeks. In the second study the volunteers consumed 400 mL FVPJ, or sugar‐matched control, on the morning of the study day.

Outcomes

Measures of vascular tone, vasodilation

Notes

Waiting for the library to find and send full text.

Groen 1952

Methods

Unknown

Participants

Thirty men and 30 women were chosen from 100 volunteers on the basis of normal clinical and laboratory findings and estimated idealism and intelligence. Twenty‐two men and 22 women were between 20 and 30 years of age, 6 men and 7 women were between 30 and 40 years of age, while 2 men and 1 woman were between 40 and 48 years of age.

Interventions

Three different diets were administered to the participants in 3 successive 12‐week periods, under expert supervision in a communal dining room. Diet V was almost exclusively vegetable, except for skimmed milk and buttermilk ad lib., and 100 g. whole milk per day. Diet L consisted of 50 g. of meat, 30 g. of cheese, 0.5 litres of milk per day, 2 eggs per week, and vegetables ad lib. Diet H contained 250 g. of meat, 50 g. of cheese and 2 eggs per day besides unlimited milk, cream and butter.

Outcomes

Serum cholesterol

Notes

Need Information on type of study as unsure if participants were randomised to groups. Waiting for the library to find and send full text.

Teeple (2011)

Methods

Randomised controlled Trial (states participants were randomly assigned to one of four treatment groups)

Participants

Postmenopausual women who smoked

Interventions

45 g/day of blackberries, 45 g/day of blueberries, smokers, non‐smokers

Outcomes

Lipids

Notes

This thesis has been ordered but is awaiting classification as lipid data are needed, as is clarification of the number of participants randomised and randomisation processes.

Wallace 2012

Methods

Randomised controlled trial

Participants

105 overweight, non‐diabetic individuals with no history of cardiovascular disease ‐ mean age 56 years (range 40 ‐77 years), 62% men, body mass index 30.8 kg/m2 (range 26.9 ‐ 37.3 kg/m2), fasting plasma glucose 97 mg/dL (range 79 ‐ 121 mg/dL).

Interventions

After a 4‐week wash‐out diet of 1‐2 portions FV per day, participants were randomised to consume 1‐2, 4 or 7 or more portions FV daily for 12 weeks.

Outcomes

Measures of whole‐body, peripheral or hepatic insulin resistance (see table), adiponectin, hsCRP, BP or lipid concentrations.

Notes

Data on BP and lipids needed. Emailed author.

BMI: body mass index
BP: blood pressure
hsCRP: high‐sensitivity C‐reactive protein

Characteristics of ongoing studies [ordered by study ID]

Wang 2011

Study name

The effect of one avocado per day on established and emerging cardiovascular disease (CVD) risk factors

Methods

Open label randomised cross‐over trial

Participants

Inclusion Criteria:

1.healthy non‐smoking

2.overweight (BMI 25‐35 kg/m2) men and women

3.LDL‐C between the25‐90th percentile from NHANES: 105‐194 mg/dL for males; 98‐190 mg/dL for females)

4) 21‐70 years

Interventions

1) Lower fat diet

Provide ~24% of calories from fat and meet the Saturated Fatty Acid (SFA) and cholesterol recommendations of a Step‐II diet recommended by the National Heart, Lung, and Blood Association's National Cholesterol Education Program. SFA will provide 7% of calories, and cholesterol will be less than 200 mg/day. Vegetables and fruits in the Lower fat diet will be selected from foods that are low in antioxidants.

2) Moderate fat diet

This diet is designed to be the control diet for the avocado diet and will have an identical fatty acid profile. MUFA‐enriched food (fats) will be substituted for avocado. The substitution foods will not contain antioxidant or cholesterol‐lowering components similar to those in avocado.

3) Avocado diet

Designed to ensure that all participants incorporate 1 avocado (~136g) per day into a moderate fat diet. Both the lower fat diet and avocado diet will be matched for SFA and dietary cholesterol, but will differ in total fat, primarily MUFA as provided by the avocado. The moderate fat plus avocado diet will provide 34% of calories from total fat, 18% calories from MUFA, and 9% calories from PUFA.

Outcomes

Primary outcomes:

1) Lipoprotein profile (Week 7)

2) Lipoprotein profile (Week 14)

3) Lipoprotein profile (Week 21)

Secondary outcomes:

1) Paraoxonase 1(PON1) activity

2) Oxidized‐LDL

3) Lipid hydroperoxide

4) Macrophage cholesterol efflux

Starting date

November 2010

Contact information

Li Wang ‐ 814‐863‐8109 [email protected]

Notes

BMI: body mass index
LDL‐C: low‐density lipoprotein cholesterol
MUFA: monounsaturated fatty acid
NHANES: National Health and Nutrition Examination Survey
PUFA: polyunsaturated fatty acid

Data and analyses

Open in table viewer
Comparison 1. Advice to eat fruit and vegetables

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1.1 Systolic blood pressure, change from baseline (mmHg) Show forest plot

2

891

Mean Difference (IV, Fixed, 95% CI)

‐3.00 [‐4.92, ‐1.09]

Analysis 1.1

Comparison 1: Advice to eat fruit and vegetables, Outcome 1: Systolic blood pressure, change from baseline (mmHg)

Comparison 1: Advice to eat fruit and vegetables, Outcome 1: Systolic blood pressure, change from baseline (mmHg)

1.2 Diastolic blood pressure, change from baseline (mmHg) Show forest plot

2

891

Mean Difference (IV, Fixed, 95% CI)

‐0.90 [‐2.03, 0.24]

Analysis 1.2

Comparison 1: Advice to eat fruit and vegetables, Outcome 2: Diastolic blood pressure, change from baseline (mmHg)

Comparison 1: Advice to eat fruit and vegetables, Outcome 2: Diastolic blood pressure, change from baseline (mmHg)

1.3 Total cholesterol, change from baseline (mmol/l) Show forest plot

4

970

Mean Difference (IV, Fixed, 95% CI)

‐0.01 [‐0.11, 0.09]

Analysis 1.3

Comparison 1: Advice to eat fruit and vegetables, Outcome 3: Total cholesterol, change from baseline (mmol/l)

Comparison 1: Advice to eat fruit and vegetables, Outcome 3: Total cholesterol, change from baseline (mmol/l)

1.4 LDL cholesterol, change from baseline (mmol/l) Show forest plot

2

251

Mean Difference (IV, Fixed, 95% CI)

‐0.17 [‐0.38, 0.03]

Analysis 1.4

Comparison 1: Advice to eat fruit and vegetables, Outcome 4: LDL cholesterol, change from baseline (mmol/l)

Comparison 1: Advice to eat fruit and vegetables, Outcome 4: LDL cholesterol, change from baseline (mmol/l)

1.5 HDL cholesterol, change from baseline (mmol/l) Show forest plot

2

251

Mean Difference (IV, Fixed, 95% CI)

‐0.01 [‐0.10, 0.08]

Analysis 1.5

Comparison 1: Advice to eat fruit and vegetables, Outcome 5: HDL cholesterol, change from baseline (mmol/l)

Comparison 1: Advice to eat fruit and vegetables, Outcome 5: HDL cholesterol, change from baseline (mmol/l)

1.6 Triglycerides, change from baseline (mmol/l) Show forest plot

3

280

Mean Difference (IV, Fixed, 95% CI)

0.10 [‐0.06, 0.27]

Analysis 1.6

Comparison 1: Advice to eat fruit and vegetables, Outcome 6: Triglycerides, change from baseline (mmol/l)

Comparison 1: Advice to eat fruit and vegetables, Outcome 6: Triglycerides, change from baseline (mmol/l)

Open in table viewer
Comparison 2. Provision of fruit and vegetables

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

2.1 Systolic blood pressure, change from baseline (mmHg) Show forest plot

1

157

Mean Difference (IV, Fixed, 95% CI)

1.00 [0.45, 1.55]

Analysis 2.1

Comparison 2: Provision of fruit and vegetables, Outcome 1: Systolic blood pressure, change from baseline (mmHg)

Comparison 2: Provision of fruit and vegetables, Outcome 1: Systolic blood pressure, change from baseline (mmHg)

2.2 Diastolic blood pressure, change from baseline (mmHg) Show forest plot

1

157

Mean Difference (IV, Fixed, 95% CI)

1.50 [1.18, 1.82]

Analysis 2.2

Comparison 2: Provision of fruit and vegetables, Outcome 2: Diastolic blood pressure, change from baseline (mmHg)

Comparison 2: Provision of fruit and vegetables, Outcome 2: Diastolic blood pressure, change from baseline (mmHg)

2.3 Total cholesterol, change from baseline (mmol/l) Show forest plot

2

187

Mean Difference (IV, Random, 95% CI)

‐0.10 [‐0.24, 0.04]

Analysis 2.3

Comparison 2: Provision of fruit and vegetables, Outcome 3: Total cholesterol, change from baseline (mmol/l)

Comparison 2: Provision of fruit and vegetables, Outcome 3: Total cholesterol, change from baseline (mmol/l)

2.4 LDL cholesterol, change from baseline (mmol/l) Show forest plot

3

Mean Difference (IV, Fixed, 95% CI)

Totals not selected

Analysis 2.4

Comparison 2: Provision of fruit and vegetables, Outcome 4: LDL cholesterol, change from baseline (mmol/l)

Comparison 2: Provision of fruit and vegetables, Outcome 4: LDL cholesterol, change from baseline (mmol/l)

2.5 HDL cholesterol, change from baseline (mmol/l) Show forest plot

3

Mean Difference (IV, Fixed, 95% CI)

Totals not selected

Analysis 2.5

Comparison 2: Provision of fruit and vegetables, Outcome 5: HDL cholesterol, change from baseline (mmol/l)

Comparison 2: Provision of fruit and vegetables, Outcome 5: HDL cholesterol, change from baseline (mmol/l)

2.6 Trigylcerides, change from baseline (mmol/l) Show forest plot

3

284

Mean Difference (IV, Fixed, 95% CI)

‐0.01 [‐0.03, 0.01]

Analysis 2.6

Comparison 2: Provision of fruit and vegetables, Outcome 6: Trigylcerides, change from baseline (mmol/l)

Comparison 2: Provision of fruit and vegetables, Outcome 6: Trigylcerides, change from baseline (mmol/l)

Study flow diagram.

Figuras y tablas -
Figure 1

Study flow diagram.

'Risk of bias' summary: review authors' judgements about each risk of bias item for each included study.

Figuras y tablas -
Figure 2

'Risk of bias' summary: review authors' judgements about each risk of bias item for each included study.

'Risk of bias' graph: review authors' judgements about each risk of bias item presented as percentages across all included studies.

Figuras y tablas -
Figure 3

'Risk of bias' graph: review authors' judgements about each risk of bias item presented as percentages across all included studies.

Comparison 1: Advice to eat fruit and vegetables, Outcome 1: Systolic blood pressure, change from baseline (mmHg)

Figuras y tablas -
Analysis 1.1

Comparison 1: Advice to eat fruit and vegetables, Outcome 1: Systolic blood pressure, change from baseline (mmHg)

Comparison 1: Advice to eat fruit and vegetables, Outcome 2: Diastolic blood pressure, change from baseline (mmHg)

Figuras y tablas -
Analysis 1.2

Comparison 1: Advice to eat fruit and vegetables, Outcome 2: Diastolic blood pressure, change from baseline (mmHg)

Comparison 1: Advice to eat fruit and vegetables, Outcome 3: Total cholesterol, change from baseline (mmol/l)

Figuras y tablas -
Analysis 1.3

Comparison 1: Advice to eat fruit and vegetables, Outcome 3: Total cholesterol, change from baseline (mmol/l)

Comparison 1: Advice to eat fruit and vegetables, Outcome 4: LDL cholesterol, change from baseline (mmol/l)

Figuras y tablas -
Analysis 1.4

Comparison 1: Advice to eat fruit and vegetables, Outcome 4: LDL cholesterol, change from baseline (mmol/l)

Comparison 1: Advice to eat fruit and vegetables, Outcome 5: HDL cholesterol, change from baseline (mmol/l)

Figuras y tablas -
Analysis 1.5

Comparison 1: Advice to eat fruit and vegetables, Outcome 5: HDL cholesterol, change from baseline (mmol/l)

Comparison 1: Advice to eat fruit and vegetables, Outcome 6: Triglycerides, change from baseline (mmol/l)

Figuras y tablas -
Analysis 1.6

Comparison 1: Advice to eat fruit and vegetables, Outcome 6: Triglycerides, change from baseline (mmol/l)

Comparison 2: Provision of fruit and vegetables, Outcome 1: Systolic blood pressure, change from baseline (mmHg)

Figuras y tablas -
Analysis 2.1

Comparison 2: Provision of fruit and vegetables, Outcome 1: Systolic blood pressure, change from baseline (mmHg)

Comparison 2: Provision of fruit and vegetables, Outcome 2: Diastolic blood pressure, change from baseline (mmHg)

Figuras y tablas -
Analysis 2.2

Comparison 2: Provision of fruit and vegetables, Outcome 2: Diastolic blood pressure, change from baseline (mmHg)

Comparison 2: Provision of fruit and vegetables, Outcome 3: Total cholesterol, change from baseline (mmol/l)

Figuras y tablas -
Analysis 2.3

Comparison 2: Provision of fruit and vegetables, Outcome 3: Total cholesterol, change from baseline (mmol/l)

Comparison 2: Provision of fruit and vegetables, Outcome 4: LDL cholesterol, change from baseline (mmol/l)

Figuras y tablas -
Analysis 2.4

Comparison 2: Provision of fruit and vegetables, Outcome 4: LDL cholesterol, change from baseline (mmol/l)

Comparison 2: Provision of fruit and vegetables, Outcome 5: HDL cholesterol, change from baseline (mmol/l)

Figuras y tablas -
Analysis 2.5

Comparison 2: Provision of fruit and vegetables, Outcome 5: HDL cholesterol, change from baseline (mmol/l)

Comparison 2: Provision of fruit and vegetables, Outcome 6: Trigylcerides, change from baseline (mmol/l)

Figuras y tablas -
Analysis 2.6

Comparison 2: Provision of fruit and vegetables, Outcome 6: Trigylcerides, change from baseline (mmol/l)

Comparison 1. Advice to eat fruit and vegetables

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1.1 Systolic blood pressure, change from baseline (mmHg) Show forest plot

2

891

Mean Difference (IV, Fixed, 95% CI)

‐3.00 [‐4.92, ‐1.09]

1.2 Diastolic blood pressure, change from baseline (mmHg) Show forest plot

2

891

Mean Difference (IV, Fixed, 95% CI)

‐0.90 [‐2.03, 0.24]

1.3 Total cholesterol, change from baseline (mmol/l) Show forest plot

4

970

Mean Difference (IV, Fixed, 95% CI)

‐0.01 [‐0.11, 0.09]

1.4 LDL cholesterol, change from baseline (mmol/l) Show forest plot

2

251

Mean Difference (IV, Fixed, 95% CI)

‐0.17 [‐0.38, 0.03]

1.5 HDL cholesterol, change from baseline (mmol/l) Show forest plot

2

251

Mean Difference (IV, Fixed, 95% CI)

‐0.01 [‐0.10, 0.08]

1.6 Triglycerides, change from baseline (mmol/l) Show forest plot

3

280

Mean Difference (IV, Fixed, 95% CI)

0.10 [‐0.06, 0.27]

Figuras y tablas -
Comparison 1. Advice to eat fruit and vegetables
Comparison 2. Provision of fruit and vegetables

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

2.1 Systolic blood pressure, change from baseline (mmHg) Show forest plot

1

157

Mean Difference (IV, Fixed, 95% CI)

1.00 [0.45, 1.55]

2.2 Diastolic blood pressure, change from baseline (mmHg) Show forest plot

1

157

Mean Difference (IV, Fixed, 95% CI)

1.50 [1.18, 1.82]

2.3 Total cholesterol, change from baseline (mmol/l) Show forest plot

2

187

Mean Difference (IV, Random, 95% CI)

‐0.10 [‐0.24, 0.04]

2.4 LDL cholesterol, change from baseline (mmol/l) Show forest plot

3

Mean Difference (IV, Fixed, 95% CI)

Totals not selected

2.5 HDL cholesterol, change from baseline (mmol/l) Show forest plot

3

Mean Difference (IV, Fixed, 95% CI)

Totals not selected

2.6 Trigylcerides, change from baseline (mmol/l) Show forest plot

3

284

Mean Difference (IV, Fixed, 95% CI)

‐0.01 [‐0.03, 0.01]

Figuras y tablas -
Comparison 2. Provision of fruit and vegetables