Environmental interventions to reduce the consumption of sugar-sweetened beverages and their effects on health
- PMID: 31194900
- PMCID: PMC6564085
- DOI: 10.1002/14651858.CD012292.pub2
Environmental interventions to reduce the consumption of sugar-sweetened beverages and their effects on health
Abstract
Background: Frequent consumption of excess amounts of sugar-sweetened beverages (SSB) is a risk factor for obesity, type 2 diabetes, cardiovascular disease and dental caries. Environmental interventions, i.e. interventions that alter the physical or social environment in which individuals make beverage choices, have been advocated as a means to reduce the consumption of SSB.
Objectives: To assess the effects of environmental interventions (excluding taxation) on the consumption of sugar-sweetened beverages and sugar-sweetened milk, diet-related anthropometric measures and health outcomes, and on any reported unintended consequences or adverse outcomes.
Search methods: We searched 11 general, specialist and regional databases from inception to 24 January 2018. We also searched trial registers, reference lists and citations, scanned websites of relevant organisations, and contacted study authors.
Selection criteria: We included studies on interventions implemented at an environmental level, reporting effects on direct or indirect measures of SSB intake, diet-related anthropometric measures and health outcomes, or any reported adverse outcome. We included randomised controlled trials (RCTs), non-randomised controlled trials (NRCTs), controlled before-after (CBA) and interrupted-time-series (ITS) studies, implemented in real-world settings with a combined length of intervention and follow-up of at least 12 weeks and at least 20 individuals in each of the intervention and control groups. We excluded studies in which participants were administered SSB as part of clinical trials, and multicomponent interventions which did not report SSB-specific outcome data. We excluded studies on the taxation of SSB, as these are the subject of a separate Cochrane Review.
Data collection and analysis: Two review authors independently screened studies for inclusion, extracted data and assessed the risks of bias of included studies. We classified interventions according to the NOURISHING framework, and synthesised results narratively and conducted meta-analyses for two outcomes relating to two intervention types. We assessed our confidence in the certainty of effect estimates with the GRADE framework as very low, low, moderate or high, and presented 'Summary of findings' tables.
Main results: We identified 14,488 unique records, and assessed 1030 in full text for eligibility. We found 58 studies meeting our inclusion criteria, including 22 RCTs, 3 NRCTs, 14 CBA studies, and 19 ITS studies, with a total of 1,180,096 participants. The median length of follow-up was 10 months. The studies included children, teenagers and adults, and were implemented in a variety of settings, including schools, retailing and food service establishments. We judged most studies to be at high or unclear risk of bias in at least one domain, and most studies used non-randomised designs. The studies examine a broad range of interventions, and we present results for these separately.Labelling interventions (8 studies): We found moderate-certainty evidence that traffic-light labelling is associated with decreasing sales of SSBs, and low-certainty evidence that nutritional rating score labelling is associated with decreasing sales of SSBs. For menu-board calorie labelling reported effects on SSB sales varied.Nutrition standards in public institutions (16 studies): We found low-certainty evidence that reduced availability of SSBs in schools is associated with decreased SSB consumption. We found very low-certainty evidence that improved availability of drinking water in schools and school fruit programmes are associated with decreased SSB consumption. Reported associations between improved availability of drinking water in schools and student body weight varied.Economic tools (7 studies): We found moderate-certainty evidence that price increases on SSBs are associated with decreasing SSB sales. For price discounts on low-calorie beverages reported effects on SSB sales varied.Whole food supply interventions (3 studies): Reported associations between voluntary industry initiatives to improve the whole food supply and SSB sales varied.Retail and food service interventions (7 studies): We found low-certainty evidence that healthier default beverages in children's menus in chain restaurants are associated with decreasing SSB sales, and moderate-certainty evidence that in-store promotion of healthier beverages in supermarkets is associated with decreasing SSB sales. We found very low-certainty evidence that urban planning restrictions on new fast-food restaurants and restrictions on the number of stores selling SSBs in remote communities are associated with decreasing SSB sales. Reported associations between promotion of healthier beverages in vending machines and SSB intake or sales varied.Intersectoral approaches (8 studies): We found moderate-certainty evidence that government food benefit programmes with restrictions on purchasing SSBs are associated with decreased SSB intake. For unrestricted food benefit programmes reported effects varied. We found moderate-certainty evidence that multicomponent community campaigns focused on SSBs are associated with decreasing SSB sales. Reported associations between trade and investment liberalisation and SSB sales varied.Home-based interventions (7 studies): We found moderate-certainty evidence that improved availability of low-calorie beverages in the home environment is associated with decreased SSB intake, and high-certainty evidence that it is associated with decreased body weight among adolescents with overweight or obesity and a high baseline consumption of SSBs.Adverse outcomes reported by studies, which may occur in some circumstances, included negative effects on revenue, compensatory SSB consumption outside school when the availability of SSBs in schools is reduced, reduced milk intake, stakeholder discontent, and increased total energy content of grocery purchases with price discounts on low-calorie beverages, among others. The certainty of evidence on adverse outcomes was low to very low for most outcomes.We analysed interventions targeting sugar-sweetened milk separately, and found low- to moderate-certainty evidence that emoticon labelling and small prizes for the selection of healthier beverages in elementary school cafeterias are associated with decreased consumption of sugar-sweetened milk. We found low-certainty evidence that improved placement of plain milk in school cafeterias is not associated with decreasing sugar-sweetened milk consumption.
Authors' conclusions: The evidence included in this review indicates that effective, scalable interventions addressing SSB consumption at a population level exist. Implementation should be accompanied by high-quality evaluations using appropriate study designs, with a particular focus on the long-term effects of approaches suitable for large-scale implementation.
Conflict of interest statement
PvP, JMS, JB, LKB, LMP, SP: None known.
CH is a member of the scientific advisory board of 4sigma, a consultancy working primarily for health insurance companies. She has been involved in the preparation of a systematic review on Associations between single nucleotide polymorphisms and macronutrient intake (PROSPERO: CRD42015025738), partly funded by an institutional grant from the consumer products company Amway GmbH.
HH has received honoraria for membership on scientific advisory boards of Weight Watchers, NovoNordisk and Boehringer Ingelheim. His institution has received grants from Riemser Pharma, Amway GmbH and Certmedica, a producer of slimming products. HH has received honoraria for membership on scientific advisory boards of Nestle and Danone, providing advice on recommendations regarding the nutritional content of breakfast meals and dairy products.
ER: None known.
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Bae 2012 {published data only}
Baidal 2017 {published data only}
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- Baidal JW, Nelson C, Perkins M, Colchamiro R, Leung‐Strle P, Kwass JA, et al. Childhood obesity prevention in WIC: outcomes of the MA‐CORD study. Journal of Pediatric Gastroenterology and Nutrition 2017;65:S196.
Baranowski 2000 {published data only}
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- Baranowski T, Davis M, Resnicow K, Baranowski J, Doyle C, Lin LS, et al. Gimme 5 fruit, juice, and vegetables for fun and health: outcome evaluation. Health Education and Behavior 2000;27(1):96‐111. - PubMed
Baranowski 2003 {published data only}
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- Baranowski T, Baranowski JC, Cullen KW, Thompson DI, Nicklas T, Zakeri IF, et al. The Fun, Food, and Fitness Project (FFFP): the Baylor GEMS pilot study. Ethnicity and Disease 2003;13(1):S1 30‐9. - PubMed
Barlow 2017 {published data only}
Barlow 2018 {published data only}
Barr 2000 {published data only}
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- Barr SI, McCarron DA, Heaney RP, Dawson‐Hughes B, Berga SL, Stern J, et al. Effects of increased consumption of fluid milk on energy and nutrient intake, body weight, and cardiovascular risk factors in healthy older adults. Journal of The American Dietetic Association 2000;100(7):810‐7. - PubMed
Bayer 2009 {published data only}
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- Bayer O, Kries R, Strauss A, Mitschek C, Toschke AM, Hose A, et al. Short‐ and mid‐term effects of a setting based prevention program to reduce obesity risk factors in children: a cluster‐randomized trial. Clinical Nutrition 2009;28(2):122‐8. - PubMed
Beck 2017 {published data only}
Beets 2014 {published data only}
Beets 2016 {published data only}
Beinert 2017 {published data only}
Bender 2014 {published data only}
Bender 2016 {published data only}
Bergen 2006 {published data only}
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- Bergen D, Yeh MC. 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. - PubMed
Bjelland 2011 {published data only}
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- Bjelland M, Bergh IH, Grydeland M, Klepp KII, Andersen LF, Anderssen SA, et al. Changes in adolescents' intake of sugar‐sweetened beverages and sedentary behaviour: results at 8 month mid‐way assessment of the HEIA study‐‐a comprehensive, multi‐component school‐based randomized trial. International Journal of Behavioral Nutrition and Physical Activity 2011;8:63. - PMC - PubMed
Bleich 2012 {published data only}
Bleich 2014 {published data only (unpublished sought but not used)}
Bleich 2017 {published data only}
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- Bleich SN, Wolfson JA, Jarlenski MP. Calorie changes in large chain restaurants from 2008 to 2015. Preventive Medicine 2017;100:112‐6. - PubMed
Block 2010 {published data only}
Bogart 2011 {published data only}
Boone‐Heinonen 2011 {published data only}
Brandstetter 2012 {published data only}
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- Brandstetter S, Klenk J, Berg S, Galm C, Fritz M, Peter R, et al. Overweight prevention implemented by primary school teachers: a randomised controlled trial. Obesity Facts 2012;5(1):1‐11. - PubMed
Branscum 2013 {published data only}
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- Branscum P, Sharma M, Wang LL, Wilson BR, Rojas‐Guyler L, Leigh Wang L, et al. A true challenge for any superhero: an evaluation of a comic book obesity prevention program. Family & Community Health 2013;36(1):63‐76. - PubMed
Brown 2009 {published data only}
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- Brown DM, Tammineni SK. Managing sales of beverages in schools to preserve profits and improve children's nutrition intake in 15 Mississippi schools. Journal of The American Dietetic Association 2009;109(12):2036‐42. - PubMed
Bruerd 1996 {published data only}
Brunello 2014 {published data only (unpublished sought but not used)}
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- Brunello G, Paola M, Labartino G. More apples fewer chips? The effect of school fruit schemes on the consumption of junk food. Health Policy 2014;118(1):114‐26. - PubMed
Bruun 2015 {published data only}
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- Bruun JM, Maersk M, Belza A, Astrup A, Richelsen B. Consumption of sucrose‐sweetened soft drinks increases plasma levels of uric acid in overweight and obese subjects: a 6‐month randomised controlled trial. European Journal of Clinical Nutrition 2015;69(8):949‐53. - PubMed
Bryden 2013 {published data only}
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- Bryden A, Petticrew M, Mays N, Eastmure E, Knai C. Voluntary agreements between government and business—A scoping review of the literature with specific reference to the Public Health Responsibility Deal. Health Policy 2013;110(2–3):186‐97. - PubMed
Burrows 2012 {published data only}
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- Burrows T, Morgan PJ, Lubans DR, Callister R, Okely T, Bray J, et al. Dietary outcomes of the healthy dads healthy kids randomised controlled trial. Journal of Pediatric Gastroenterology and Nutrition 2012;55(4):408‐11. - PubMed
Butler 2011 {published data only (unpublished sought but not used)}
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- Butler R, Tapsell L, Lyons‐Wall P. Trends in purchasing patterns of sugar‐sweetened water‐based beverages in a remote Aboriginal community store following the implementation of a community‐developed store nutrition policy. Nutrition and Dietetics 2011;68(2):115‐9.
Caljouw 2014 {published data only}
Campbell 2013 {published data only}
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- Campbell KJ, Lioret S, McNaughton SA, Crawford DA, Salmon J, Ball K, et al. A parent‐focused intervention to reduce infant obesity risk behaviors: a randomized trial. Pediatrics 2013;131(4):652‐60. - PubMed
Campos 2015 {published data only}
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- Campos V, Despland C, Brandejsky V, Kreis R, Schneiter P, Chiolero A, et al. Sugar‐ and artificially sweetened beverages and intrahepatic fat: a randomized controlled trial. Obesity 2015;23:2335‐9. - PubMed
Campos 2017 {published data only}
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- Campos V, Despland C, Brandejsky V, Kreis R, Schneiter P, Boesch C, et al. Metabolic effects of replacing sugar‐sweetened beverages with artificially‐sweetened beverages in overweight subjects with or without hepatic steatosis: a randomized control clinical trial. Nutrients 2017;9(3):1‐17. - PMC - PubMed
Carriedo 2013 {published data only (unpublished sought but not used)}
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- Carriedo A, Bonvecchio A, Lopez N, Morales M, Mena C, Theodore FL, et al. Use of social marketing to increase water consumption among school‐age children in Mexico City. Salud Publica de Mexico 2013;55:S388‐96. - PubMed
Casazza 2006 {published data only}
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- Casazza K. nts. A Computer Based Approach to Improve the Dietary and Physical Activity Patterns of a Diverse Group of Adolesce [Dissertation. Miami: Florida International University, 2006.
Chen 2009 {published data only}
Chen 2010 {published data only}
Chi 2016 {published data only}
Chin 2008 {published data only}
Choi 2017 {published data only}
-
- Choi SK, Frongillo EA, Blake CE, Thrasher JF. Korean adolescents' energy intake of selected foods by eating place from 1998 to 2012 during implementation of two national school nutrition policies. Journal of Hunger and Environmental Nutrition 2017 [Epub ahead of print]. [DOI: 10.1080/19320248.2017.1337534] - DOI
Cloutier 2015 {published data only}
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- Cloutier MM, Wiley J, Huedo‐Medina T, Ohannessian M, Grant A, Hernandez D, et al. Outcomes from a pediatric primary care weight management program: Steps to Growing Up Healthy. Journal of Pediatrics 2015;167(2):372‐7.e1. - PubMed
Collins 2014 {published data only}
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- Collins CE, Dewar DL, Schumacher TL, Finn T, Morgan PJ, Lubans DR. 12 Month changes in dietary intake of adolescent girls attending schools in low‐income communities following the NEAT Girls cluster randomized controlled trial. Appetite 2014;73:147‐55. - PubMed
Cordeira 2012 {published data only}
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- Cordeira KL. Effects of a Health Advocacy Program to Promote Physical Activity and Nutrition Behaviors among Adolescents: an Evaluation of the Young Leaders for Healthy Change Program [Masters Thesis]. Houston, Texas: University of Texas, 2012.
Cox 2012 {published data only}
Cullen 2006 {published data only}
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- Cullen KW, Watson K, Zakeri I, Ralston K. Exploring changes in middle‐school student lunch consumption after local school food service policy modifications. Public Health Nutrition 2006;9(6):814‐20. - PubMed
Cullen 2008 {published data only}
Cummins 2014 {published data only}
Cunha 2013 {published data only}
Daniels 2014 {published data only}
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- Daniels LA, Mallan KM, Battistutta D, Nicholson JM, Meedeniya JE, Bayer JK, et al. Child eating behavior outcomes of an early feeding intervention to reduce risk indicators for child obesity: the NOURISH RCT. Obesity (Silver Spring) 2014;22(5):E104‐11. - PubMed
Dannefer 2012 {published data only}
Davis 2007 {published data only}
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- Davis JN, Ventura EE, Alexander KE, Salguero LE, Weigensberg MJ, Crespo NC, et al. Feasibility of a home‐based versus classroom‐based nutrition intervention to reduce obesity and type 2 diabetes in Latino youth. International Journal of Pediatric Obesity 2007;2(1):22‐30. - PubMed
De Bourdeaudhuij 2015 {published data only}
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- Bourdeaudhuij I, Verbestel V, Henauw S, Maes L, Huybrechts I, Marild S, et al. Behavioural effects of a community‐oriented setting‐based intervention for prevention of childhood obesity in eight European countries. Main results from the IDEFICS study. Obesity Reviews 2015;16:30‐40. - PubMed
Delpier 2013 {published data only}
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- Delpier T, Giordana S, Wedin BM. Decreasing sugar‐sweetened beverage consumption in the rural adolescent population. Journal of Pediatric Health Care 2013;27(6):470‐8. - PubMed
De Moraes 2017 {published data only}
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- Moraes MM, Mediano MF, Souza RA, Moura AS, Veiga GV, Sichieri R. Discouraging soft drink consumption reduces blood glucose and cholesterol of Brazilian elementary students: secondary analysis of a randomized controlled trial. Preventive Medicine 2017 July; Vol. 100:223‐8. [DOI: 10.1016/j.ypmed.2017.04.035] - DOI - PubMed
Dennis 2010 {published data only}
De Ruyter 2014 {published data only}
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- Ruyter JC, Olthof MR, Katan MB. A trial of sugar‐free or sugar‐sweetened beverages and body weight in children. New England Journal of Medicine 2014;367(15):1397‐406. - PubMed
De Souza 2013 {published data only}
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- Souza RA, Mediano MF, Souza AM, Sichieri R. Reducing the use of sugar in public schools: a randomized cluster trial. Revista de Saude Publica 2013;47(4):666‐74. - PubMed
Donnelly 2018 {published data only}
Doymaz 2009 {published data only}
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- Doymaz S, Neuspiel DR. The influence of pediatric resident counseling on limiting sugar‐sweetened drinks in children. Clinical Pediatrics 2009;48(7):777‐9. - PubMed
Drewnowski 2017 {published data only}
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- Drewnowski A, Michels S, Leroy D. The impact of crunchy wednesdays on happy meal fruit orders: analysis of sales data in France, 2009–2013. Journal of Nutrition Education and Behavior 2017;49(3):236‐40.e1. - PubMed
Dubuy 2014 {published data only}
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- Dubuy V, Cocker K, Bourdeaudhuij I, Maes L, Seghers J, Lefevre J, et al. Evaluation of a real world intervention using professional football players to promote a healthy diet and physical activity in children and adolescents from a lower socio‐economic background: a controlled pretest‐posttest design. BMC Public Health 2014;14:457. - PMC - PubMed
Duncan 2011 {published data only}
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- Duncan S, McPhee JC, Schluter PJ, Zinn C, Smith R, Schofield G. Efficacy of a compulsory homework programme for increasing physical activity and healthy eating in children: the healthy homework pilot study. International Journal of Behavioral Nutrition and Physical Activity 2011;8:1‐10. - PMC - PubMed
Elbel 2009 {published data only}
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- Elbel B, Kersh R, Brescoll VL, Dixon LB. Calorie labeling and food choices: a first look at the effects on low‐income people in New York City. Health Affairs 2009;28(6):w1110‐21. - PubMed
Elbel 2011 {published data only}
Elbel 2015b {published data only}
Elder 2014 {published data only}
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- Elder JP, Holub CK, Arredondo EM, Sanchez‐Romero LM, Moreno‐Saracho JE, Barquera S, et al. Promotion of water consumption in elementary school children in San Diego, USA and Tlaltizapan, Mexico. Salud Publica de Mexico 2014;56:s148‐56. - PubMed
Ezendam 2007 {published data only}
Ezendam 2012 {published data only}
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- Ezendam NP, Brug J, Oenema A. Evaluation of the web‐based computer‐tailored FATaintPHAT intervention to promote energy balance among adolescents: results from a school cluster randomized trial. Archives of Pediatrics & Adolescent Medicine 2012;166(3):248‐55. - PubMed
Ferguson 2016 {published data only (unpublished sought but not used)}
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- Ferguson M, O'Dea K, Holden S, Miles E, Brimblecombe J. Food and beverage price discounts to improve health in remote Aboriginal communities: mixed method evaluation of a natural experiment. Australian and New Zealand Journal of Public Health 2016;41(1):32‐7. - PubMed
Fernandes 2009 {published data only}
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- Fernandes PS, Bernardo CO, Campos RM, Vasconcelos FA. Evaluating the effect of nutritional education on the prevalence of overweight/obesity and on foods eaten at primary schools. Journal of Pediatrics (Rio de Janeiro) 2009;85(4):315‐21. - PubMed
Fernandes 2012 {published data only}
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- Fernandes MM. Effect of the Supplemental Nutrition Assistance Program SNAP on frequency of beverage consumption among youth in the United States. Journal of the Academy of Nutrition and Dietetics 2012;112(8):1241‐6. - PubMed
Fiechtner 2016 {published data only}
Folta 2013 {published data only}
Foster 2010 {published data only}
Franks 2017 {published data only}
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- Franks B, Lahlou S, Bottin JH, Guelinckx I, Boesen‐Mariani S. Increasing water intake in pre‐school children with unhealthy drinking habits: a year‐long controlled longitudinal field experiment assessing the impact of information, water affordance, and social regulation. Appetite 2017;116:205‐14. - PubMed
French 2011 {published data only}
French 2015 {published data only}
Fung 2013 {published data only}
Garipagaoglu 2009 {published data only}
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- Garipagaoglu M, Sahip Y, Darendeliler F, Akdikmen O, Kopuz S, Sut N. Family‐based group treatment versus individual treatment in the management of childhood obesity: randomized, prospective clinical trial. European Journal of Pediatrics 2009;168(9):1091‐9. - PubMed
Geliebter 2013 {published data only}
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- Geliebter A, Ang I, Bernales‐Korins M, Hernandez D, Ochner CN, Ungredda T, et al. Supermarket discounts of low‐energy density foods: Effects on purchasing, food intake, and body weight. Obesity 2013;21(12):E542‐8. - PubMed
Giles 2012 {published data only}
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- Giles CM, Kenney EL, Gortmaker SL, Lee RM, Thayer JC, Mont‐Ferguson H, et al. Increasing water availability during afterschool snack: evidence, strategies, and partnerships from a group randomized trial. American Journal of Preventive Medicine 2012;43(3, Supplement 2):S136‐42. - PubMed
Gittelsohn 2010a {published data only (unpublished sought but not used)}
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- Gittelsohn J, Vijayadeva V, Davison N, Ramirez V, Cheung LW, Murphy S, et al. A food store intervention trial improves caregiver psychosocial factors and children's dietary intake in Hawaii. Obesity (Silver Spring) 2010;18:S84‐90. - PubMed
Gittelsohn 2010b {published data only}
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- Gittelsohn J, Song HJ, Suratkar S, Kumar MB, Henry EG, Sharma S, et al. An urban food store intervention positively affects food‐related psychosocial variables and food behaviors. Health Education and Behavior 2010;37(3):390‐402. - PubMed
Gittelsohn 2013 {published data only}
Goldberg 2015 {published data only}
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- Goldberg JP, Folta SC, Eliasziw M, Koch‐Weser S, Economos CD, Hubbard KL, et al. Great Taste, Less Waste: a cluster‐randomized trial using a communications campaign to improve the quality of foods brought from home to school by elementary school children. Preventive Medicine 2015;74:103‐10. - PMC - PubMed
Gomez 2013 {published data only}
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- Gomez P, Mariani SB, Lambert JL, Monrozier R. A water intervention program to improve fluid intakes among French women. Nutrition Today 2013;48(4):S40‐2.
Gostin 2014 {published data only}
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- Gostin LO, Reeve BH, Ashe M. The historic role of boards of health in local innovation: New York City's soda portion case. JAMA 2014;312(15):1511‐2. - PubMed
Goto 2013 {published data only}
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- Goto K, Waite A, Wolff C, Chan K, Giovanni M. Do environmental interventions impact elementary school students' lunchtime milk selection?. Applied Economic Perspectives and Policy 2013;35(2):360‐76.
Greece 2017 {published data only}
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- Greece JA, Feld S, DeJong W, Cozier YC, Quatromoni PA. Effects of a school‐based intervention on middle school children's daily food and beverage intake. Health Behavior and Policy Review 2017;4(1):24‐36.
Griffin 2015 {published data only}
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- Griffin TL, Jackson DM, McNeill G, Aucott LS, Macdiarmid JI. A brief educational intervention increases knowledge of the sugar content of foods and drinks but does not decrease intakes in scottish children aged 10‐12 years. Journal of Nutrition Education and Behavior 2015;47(4):367‐73.e1. - PubMed
Haddock 2014 {published data only}
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- Haddock CK, Poston WS, Lagrotte C, Klotz AA, Oliver TL, Vander Veur SS, et al. Findings from an online behavioural weight management programme provided with or without a fortified diet beverage. British Journal of Nutrition 2014;111(2):372‐9. - PubMed
Haerens 2007 {published data only}
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- Haerens L, Bourdeaudhuij I, Maes L, Vereecken C, Brug J, Deforche B. The effects of a middle‐school healthy eating intervention or adolescents' fat and fruit intake and soft drinks consumption. Public Health Nutrition 2007;10(5):443‐9. - PubMed
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Hanks 2014 {published data only}
Han‐Markey 2012 {published data only}
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- Han‐Markey TL, Wang L, Schlotterbeck S, Jackson EA, Gurm R, Leidal A, et al. A public school district's vending machine policy and changes over a 4‐year period: implementation of a national wellness policy. Public Health 2012;126(4):335‐7. - PubMed
Hebden 2014 {published data only}
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- Hebden L, Cook A, Ploeg HP, King L, Bauman A, Allman‐Farinelli M. A mobile health intervention for weight management among young adults: a pilot randomised controlled trial. Journal of Human Nutrition and Dietetics 2014;27(4):322‐32. - PubMed
Hedrick 2015 {published data only}
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- Hedrick VE, Davy BM, Myers EA, You W, Zoellner JM. Changes in the healthy beverage index in response to an intervention targeting a reduction in sugar‐sweetened beverage consumption as compared to an intervention targeting improvements in physical activity: results from the Talking Health trial. Nutrients 2015;7(12):10168‐78. - PMC - PubMed
Hodgson 2013 {published data only}
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- Hodgson JM, Croft KD, Woodman RJ, Puddey IB, Fuchs D, Draijer R, et al. Black tea lowers the rate of blood pressure variation: a randomized controlled trial. American Journal of Clinical Nutrition 2013;97(5):943‐50. - PubMed
Hoeft 2016 {published data only}
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- Hoeft KS, Barker JC, Shiboski S, Pantoja‐Guzman E, Hiatt RA. Effectiveness evaluation of Contra Caries Oral Health Education Program for improving Spanish‐speaking parents' preventive oral health knowledge and behaviors for their young children. Community Dentistry and Oral Epidemiology 2016;44(6):564‐76. - PMC - PubMed
Holmes 2012 {published data only}
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- Holmes AS, Estabrooks PA, Davis GC, Serrano EL. Effect of a grocery store intervention on sales of nutritious foods to youth and their families. Journal of the Academy of Nutrition and Dietetics 2012;112(6):897‐901. - PubMed
Hoppu 2010 {published data only}
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- Hoppu U, Lehtisalo J, Kujala J, Keso T, Garam S, Tapanainen H, et al. The diet of adolescents can be improved by school intervention. Public Health Nutrition 2010;13(6):973‐9. - PubMed
Iaia 2017 {published data only}
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- Iaia M, Pasini M, Burnazzi A, Vitali P, Allara E, Farneti M. An educational intervention to promote healthy lifestyles in preschool children: a cluster‐RCT. International Journal of Obesity 2017;41(4):582‐90. - PubMed
James 2004 {published data only}
Jancey 2014 {published data only}
Jensen 2012 {published data only}
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- Jensen CD, Sato AF, McMurtry CM, Hart CN, Jelalian E. School nutrition policy: an evaluation of the Rhode Island healthier beverages policy in schools. Infant, Child, and Adolescent Nutrition 2012;4(5):276‐82.
John 2017 {published data only}
Jones 2015 {published data only}
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- Jones J, Wyse R, Finch M, Lecathelinais C, Wiggers J, Marshall J, et al. Effectiveness of an intervention to facilitate the implementation of healthy eating and physical activity policies and practices in childcare services: A randomised controlled trial. Implementation Science 2015;10(1):1‐16. - PMC - PubMed
Jones 2016 {published data only}
Jue 2012 {published data only (unpublished sought but not used)}
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- Jue JJ, Press MJ, McDonald D, Volpp KG, Asch DA, Mitra N, et al. The impact of price discounts and calorie messaging on beverage consumption: A multi‐site field study. Preventive Medicine 2012;55(6):629‐33. - PubMed
Kansagra 2015 {published data only}
Keast 2015 {published data only}
Keita 2014 {published data only}
Keller 2016 {published data only}
Kenney 2015 {published data only}
Kerr 2016 {published data only}
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- Kerr DA, Harray AJ, Pollard CM, Dhaliwal SS, Delp EJ, Howat PA, et al. The connecting health and technology study: a 6‐month randomized controlled trial to improve nutrition behaviours using a mobile food record and text messaging support in young adults. International Journal of Behavioral Nutrition and Physical Activity 2016;13(1):1‐14. - PMC - PubMed
Kim 2013 {published data only}
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- Kim K, Park SM, Oh KW. The impact of nutritional policy on socioeconomic disparity in the unhealthy food intake among Korean adolescents. Appetite 2013;71:388‐95. - PubMed
Kipping 2014 {published data only}
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- Kipping RR, Howe LD, Jago R, Campbell R, Wells S, Chittleborough CR, et al. Effect of intervention aimed at increasing physical activity, reducing sedentary behaviour, and increasing fruit and vegetable consumption in children: Active for Life Year 5 (AFLY5) school based cluster randomised controlled trial. BMJ 2014;348:g3256. - PMC - PubMed
Klerman 2014 {published data only}
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- Klerman JA, Bartlett S, Wilde P, Olsho L. The short‐run impact of the Healthy Incentives Pilot Program on fruit and vegetable intake. American Journal of Agricultural Economics 2014;96(5):1372‐82.
Klesges 2010 {published data only}
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- Klesges RC, Obarzanek E, Kumanyika S, Murray DM, Klesges LM, Relyea GE, et al. The Memphis Girls' health Enrichment Multi‐site Studies (GEMS): an evaluation of the efficacy of a 2‐year obesity prevention program in African American girls. Archives of Pediatrics & Adolescent Medicine 2010;164(11):1007‐14. - PMC - PubMed
Klohe‐Lehman 2007 {published data only}
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- Klohe‐Lehman M, Freeland‐Graves J, Clarke KK, Cai G, Voruganti VS, Milani T, et al. Low‐income, overweight and obese mothers as agents of change to improve food choices, fat habits, and physical activity in their 1‐to‐3‐year‐old children. Journal of the American College of Nutrition 2007;26(3):196‐208. - PubMed
Kobel 2014 {published data only}
Kobel 2016 {published data only}
Kocken 2012 {published data only}
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- Kocken PL, Eeuwijk J, Kesteren NM, 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. - PubMed
Korwanich 2008 {published data only}
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- Korwanich K, Sheiham A, Srisuphan W, Srisilapanan P. Promoting healthy eating in nursery schoolchildren: a quasi‐experimental intervention study. Health Education Journal 2008;67(1):16‐30.
Kral 2016 {published data only}
Kubik 2011 {published data only}
Kubik 2013 {published data only}
Lahlou 2015 {published data only}
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- Lahlou S, Boesen‐Mariani S, Franks B, Guelinckx I. Increasing water intake of children and parents in the family setting: a randomized, controlled intervention using installation theory. Annals of Nutrition & Metabolism 2015;66:26‐30. - PubMed
Lao 2011 {published data only}
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- Lao LS. Evaluation of a Social Networking Based SNAP‐Ed Nutrition Curriculum on Behavior Change [Thesis]. University of Rhode Island, 2011.
Laurence 2007 {published data only}
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- Laurence S, Peterken R, Burns C. Fresh Kids: the efficacy of a Health Promoting Schools approach to increasing consumption of fruit and water in Australia. Health Promotion International 2007;22(3):218‐26. - PubMed
Lawman 2015 {published data only}
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- Lawman HG, Vander Veur S, Mallya G, McCoy TA, Wojtanowski A, Colby L, et al. Changes in quantity, spending, and nutritional characteristics of adult, adolescent and child urban corner store purchases after an environmental intervention. Preventive Medicine 2015;74:81‐5. - PubMed
Lee 2018 {published data only}
Lee‐Kwan 2015 {published data only}
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- Lee‐Kwan SH, Bleich SN, Kim H, Colantuoni E, Gittelsohn J. Environmental intervention in carryout restaurants increases sales of healthy menu items in a low‐income urban setting. American Journal of Health Promotion 2015;29(6):357‐64. - PubMed
Leung 2014 {published data only}
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- Leung CW, Cluggish S, Villamor E, Catalano PJ, Willett WC, Rimm EB. Few changes in food security and dietary intake from short‐term participation in the Supplemental Nutrition Assistance Program among low‐income Massachusetts adults. Journal of Nutrition Education and Behavior 2014;46(1):68‐74. - PMC - PubMed
Levy 2012a {published data only (unpublished sought but not used)}
Levy 2012b {published data only}
Lo 2008 {published data only}
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- Lo E, Coles R, Humbert ML, Polowski J, Henry CJ, Whiting SJ. Beverage intake improvement by high school students in Saskatchewan, Canada. Nutrition Research 2008;28(3):144‐50. - PubMed
Loeb 2017 {published data only}
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- Loeb KL, Radnitz C, Keller K, Schwartz MB, Marcus S, Pierson RN, et al. The application of defaults to optimize parents' health‐based choices for children. Appetite 2017;113:368‐75. - PubMed
Looney 2012 {published data only}
Looney 2014 {published data only}
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- Looney SM, Raynor HA. Examining the effect of three low‐intensity pediatric obesity interventions: A pilot randomized controlled trial. Clinical Pediatrics 2014;53(14):1367‐74. - PubMed
Loughridge 2005 {published data only}
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- Loughridge JL, Barratt J. Does the provision of cooled filtered water in secondary school cafeterias increase water drinking and decrease the purchase of soft drinks?. Journal of Human Nutrition and Dietetics 2005;18(4):281‐6. - PubMed
Lowe 2010 {published data only}
Lowndes 2012 {published data only}
Luehrmann 2014 {published data only}
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- Luehrmann P, Simpson F, Sickinger S, Fuchs T, Dohnke B. Impact of the provision of mineral water on the drinking behavior of students. Ernahrungs Umschau 2014;61(6):M298‐305.
Luger 2018 {published data only}
Lumeng 2017 {published data only}
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- Lumeng JC, Miller AL, Horodynski MA, Brophy‐Herb HE, Contreras D, Lee H, et al. Improving self‐regulation for obesity prevention in Head Start: a randomized controlled trial. Pediatrics 2017;139(5):1‐12. - PubMed
Luoto 2012 {published data only}
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- Luoto J, Mahmud M, Albert J, Luby S, Najnin N, Unicomb L, et al. Learning to dislike safe water products: results from a randomized controlled trial of the effects of direct and peer experience on willingness to pay. Environmental Science & Technology 2012;46(11):6244‐51. - PubMed
Madjd 2015 {published data only}
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- Madjd A, Taylor M A, Delavari A, Malekzadeh R, Macdonald IA, Farshchi HR. Beneficial effects of replacing diet beverages with water on type 2 diabetic obese women following a hypo‐energetic diet: A randomized, 24‐week clinical trial. Diabetes, Obesity and Metabolism 2017;19(1):125‐32. - PubMed
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Malbon 2012 {published data only}
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- Malbon, CA. Examining the Influence of an Online Health Behaviour Support Tool for High School Aged Youth [MSc Dissertation]. University of Victoria (Canada), 2012.
Mantzari 2017 {published data only}
Marcus 2009 {published data only (unpublished sought but not used)}
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Maupome 2010 {published data only}
McDarby 2018 {published data only}
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McGoldrick 2006 {published data only}
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Mendez 2017 {published data only}
Morley 2018 {published data only}
Morris 2016 {published data only}
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Mozaffarian 2010 {published data only}
Namba 2013 {published data only}
Nanney 2016 {published data only}
Nau 2018 {published data only}
Neumark‐Sztainer 2010 {published data only}
Nezami 2018 {published data only}
Nollen 2014 {published data only}
Nyström 2017 {published data only}
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Okuno 2010 {published data only}
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Olvera 2010 {published data only}
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Ortega 2016 {published data only}
Ostbye 2012 {published data only}
Patel 2011 {published data only}
Patel 2016 {published data only (unpublished sought but not used)}
Pbert 2013 {published data only}
Peters 2016b {published data only}
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Pinket 2016 {published data only}
Policastro 2017 {published data only}
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Raynor 2012 {published data only}
Reid 2014 {published data only}
Reinhold 2015 {published data only}
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- Reinhold MM. Exploring the Reach and Representativeness of Participants Enrolled in a Behavioral Intervention Targeting Sugar‐Sweetened Beverage Consumption [Thesis]. Virginia Polytechnic Institute and State University, 2015.
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Rodriguez‐Cano 2015 {published data only}
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Rogers 2013 {published data only}
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Rosario 2013 {published data only}
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Rosenkranz 2010 {published data only}
Rosi 2017 {published data only}
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Sacks 2011 {published data only}
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Sanchez‐Vaznaugh 2015 {published data only}
Schroeder 2015 {published data only}
Seah 2018 {published data only}
Shahril 2013 {published data only}
Shamah 2012 {published data only}
Shuster 1992 {published data only}
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Sichieri 2009 {published data only (unpublished sought but not used)}
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Sichieri 2013 {published data only}
Siega‐Riz 2011 {published data only}
Simon 2013 {published data only}
Singh 2009 {published data only}
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Singhal 2010 {published data only}
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- Singhal N, Misra A, Shah P, Gulati S. Effects of controlled school‐based multi‐component model of nutrition and lifestyle interventions on behavior modification, anthropometry and metabolic risk profile of urban Asian Indian adolescents in North India. European Journal of Clinical Nutrition 2010;64(4):364‐73. - PubMed
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Smith 2014 {published data only}
Sobko 2011 {published data only}
Song 2009 {published data only}
Stettler 2014 {published data only}
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Steyn 2015 {published data only}
Storey 2010 {published data only}
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Strauss 2011 {published data only}
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- Strauss A, Herbert B, Mitschek C, Duvinage K, Koletzko B. TigerKids: successful health promotion in preschool settings. Bundesgesundheitsblatt ‐ Gesundheitsforschung ‐ Gesundheitsschutz 2011;54(3):322‐9. - PubMed
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Sturm 2013 {published data only}
Sutherland 2010 {published data only}
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Taljaard 2013 {published data only}
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Taylor 2007 {published data only}
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- Taylor RW, McAuley KA, Barbezat W, Strong A, Williams SM, Mann JI. APPLE Project: 2‐y findings of a community‐based obesity prevention program in primary school‐age children. American Journal of Clinical Nutrition 2007;86(3):735‐42. - PubMed
Teufel 1998 {published data only}
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Thiele 1989 {published data only}
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Thompson 2008 {published data only}
Thorndike 2012 {published data only}
Thorndike 2016 {published data only}
Thow 2015 {published data only}
Toxqui 2016 {published data only}
Trinies 2016 {published data only}
Tucker 2011 {published data only}
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Van Grieken 2014 {published data only}
Van Grieken 2017 {published data only}
Van Walleghen 2007 {published data only}
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Vázquez‐Durán 2016 {published data only}
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Veitch 2011 {published data only}
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Vermeer 2010 {published data only}
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Whatley Blum 2011 {published data only}
Williamson 2013 {published data only}
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Winett 1999 {published data only}
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Wing 2015 {published data only}
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Woodward‐Lopez 2010 {published data only}
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Yildirim 2013 {published data only}
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Zoellner 2013 {published data only}
Zoellner 2016 {published data only}
References to ongoing studies
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