Literature DB >> 31630966

Health Warnings on Sugar-Sweetened Beverages: Simulation of Impacts on Diet and Obesity Among U.S. Adults.

Anna H Grummon1, Natalie R Smith2, Shelley D Golden3, Leah Frerichs4, Lindsey Smith Taillie5, Noel T Brewer3.   

Abstract

INTRODUCTION: Overconsumption of sugar-sweetened beverage (SSB) is a significant contributor to obesity. Policymakers have proposed requiring health warnings on SSBs to reduce SSB consumption. Randomized trials indicate that SSB warnings reduce SSB purchases, but uncertainty remains about how warnings affect population-level dietary and health outcomes.
METHODS: This study developed a stochastic microsimulation model of dietary behaviors and body weight using the 2005-2014 National Health and Nutrition Examination Surveys, research on SSB health warnings, and a validated model of weight change. In 2019, the model simulated a national SSB health warning policy's impact on SSB intake, total energy intake, BMI, and obesity among U.S. adults over 5 years. Sensitivity analyses varied assumptions about: (1) how warning efficacy changes over time, (2) the magnitude of warnings' impact on SSB intake, and (3) caloric compensation.
RESULTS: A national SSB health warning policy would reduce average SSB intake by 25.3 calories/day (95% uncertainty interval [UI]= -27.0, -23.6) and total energy intake by 31.2 calories/day (95% UI= -32.2, -30.1). These dietary changes would reduce average BMI by 0.64 kg/m2 (95% UI= -0.67, -0.62) and obesity prevalence by 3.1 percentage points (95% UI= -3.3%, -2.8%). Obesity reductions persisted when assuming warning efficacy wanes over time and when using conservative estimates of warning impact and caloric compensation. Benefits were larger for black and Hispanic adults than for white adults, and for adults with lower SES than for those with higher SES.
CONCLUSIONS: A national SSB health warning policy could reduce adults' SSB consumption and obesity prevalence. Warnings could also narrow sociodemographic disparities in these outcomes.
Copyright © 2019 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2019        PMID: 31630966      PMCID: PMC6874759          DOI: 10.1016/j.amepre.2019.06.022

Source DB:  PubMed          Journal:  Am J Prev Med        ISSN: 0749-3797            Impact factor:   5.043


  58 in total

1.  Liquid versus solid carbohydrate: effects on food intake and body weight.

Authors:  D P DiMeglio; R D Mattes
Journal:  Int J Obes Relat Metab Disord       Date:  2000-06

2.  Increasing consumption of sugar-sweetened beverages among US adults: 1988-1994 to 1999-2004.

Authors:  Sara N Bleich; Y Claire Wang; Youfa Wang; Steven L Gortmaker
Journal:  Am J Clin Nutr       Date:  2008-12-03       Impact factor: 7.045

3.  Long-term dietary compensation for added sugar: effects of supplementary sucrose drinks over a 4-week period.

Authors:  Marie Reid; Richard Hammersley; Andrew J Hill; Paula Skidmore
Journal:  Br J Nutr       Date:  2007-01       Impact factor: 3.718

Review 4.  Update on NHANES Dietary Data: Focus on Collection, Release, Analytical Considerations, and Uses to Inform Public Policy.

Authors:  Namanjeet Ahluwalia; Johanna Dwyer; Ana Terry; Alanna Moshfegh; Clifford Johnson
Journal:  Adv Nutr       Date:  2016-01-15       Impact factor: 8.701

5.  Nutritional policy changes in the supplemental nutrition assistance program: a microsimulation and cost-effectiveness analysis.

Authors:  Sanjay Basu; Hilary Seligman; Jay Bhattacharya
Journal:  Med Decis Making       Date:  2013-06-28       Impact factor: 2.583

6.  Sugar-Sweetened Beverage Health Warnings and Purchases: A Randomized Controlled Trial.

Authors:  Anna H Grummon; Lindsey S Taillie; Shelley D Golden; Marissa G Hall; Leah M Ranney; Noel T Brewer
Journal:  Am J Prev Med       Date:  2019-10-02       Impact factor: 5.043

Review 7.  Assessing the potential effectiveness of food and beverage taxes and subsidies for improving public health: a systematic review of prices, demand and body weight outcomes.

Authors:  L M Powell; J F Chriqui; T Khan; R Wada; F J Chaloupka
Journal:  Obes Rev       Date:  2012-11-23       Impact factor: 9.213

8.  Nutrition warnings as front-of-pack labels: influence of design features on healthfulness perception and attentional capture.

Authors:  Manuel Cabrera; Leandro Machín; Alejandra Arrúa; Lucía Antúnez; María Rosa Curutchet; Ana Giménez; Gastón Ares
Journal:  Public Health Nutr       Date:  2017-10-02       Impact factor: 4.022

9.  Prevalence of Obesity Among Adults, by Household Income and Education - United States, 2011-2014.

Authors:  Cynthia L Ogden; Tala H Fakhouri; Margaret D Carroll; Craig M Hales; Cheryl D Fryar; Xianfen Li; David S Freedman
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2017-12-22       Impact factor: 17.586

10.  Model transparency and validation: a report of the ISPOR-SMDM Modeling Good Research Practices Task Force-7.

Authors:  David M Eddy; William Hollingworth; J Jaime Caro; Joel Tsevat; Kathryn M McDonald; John B Wong
Journal:  Med Decis Making       Date:  2012 Sep-Oct       Impact factor: 2.583

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  15 in total

1.  Ethical Considerations for Food and Beverage Warnings.

Authors:  Anna H Grummon; Marissa G Hall; Jason P Block; Sara N Bleich; Eric B Rimm; Lindsey Smith Taillie; Anne Barnhill
Journal:  Physiol Behav       Date:  2020-05-11

2.  Influence of the San Francisco, CA, Sugar-Sweetened Beverage Health Warning on Consumer Reactions: Implications for Equity from a Randomized Experiment.

Authors:  Anna H Grummon; Alexandria E Reimold; Marissa G Hall
Journal:  J Acad Nutr Diet       Date:  2021-08-27       Impact factor: 5.234

Review 3.  Modelling health and economic impact of nutrition interventions: a systematic review.

Authors:  Mariska Dötsch-Klerk; Maaike J Bruins; Patrick Detzel; Janne Martikainen; Reyhan Nergiz-Unal; Annet J C Roodenburg; Ayla Gulden Pekcan
Journal:  Eur J Clin Nutr       Date:  2022-10-04       Impact factor: 4.884

4.  Applications of Complex Systems Models to Improve Retail Food Environments for Population Health: A Scoping Review.

Authors:  Megan R Winkler; Yeeli Mui; Shanda L Hunt; Melissa N Laska; Joel Gittelsohn; Melissa Tracy
Journal:  Adv Nutr       Date:  2022-08-01       Impact factor: 11.567

5.  Warning Labels Reduce Sugar-Sweetened Beverage Intake among College Students.

Authors:  Cindy W Leung; Julia A Wolfson; Robert Hsu; Keith Soster; Steve Mangan; Jennifer Falbe
Journal:  J Nutr       Date:  2021-01-04       Impact factor: 4.798

6.  Calorie Labeling and Product Reformulation: A Longitudinal Analysis of Supermarket-Prepared Foods.

Authors:  Anna H Grummon; Joshua Petimar; Fang Zhang; Anjali Rao; Steven L Gortmaker; Eric B Rimm; Sara N Bleich; Alyssa J Moran; Rebecca L Franckle; Michele Polacsek; Denise Simon; Julie C Greene; Sue Till; Jason P Block
Journal:  Am J Prev Med       Date:  2021-06-05       Impact factor: 6.604

7.  Designing warnings for sugary drinks: A randomized experiment with Latino parents and non-Latino parents.

Authors:  Marissa G Hall; Allison J Lazard; Anna H Grummon; Isabella C A Higgins; Maxime Bercholz; Ana Paula C Richter; Lindsey Smith Taillie
Journal:  Prev Med       Date:  2021-04-18       Impact factor: 4.637

8.  Awareness of and reactions to the health harms of sugary drinks: An online study of U.S. parents.

Authors:  Alexandra E Carl; Lindsey Smith Taillie; Anna H Grummon; Allison J Lazard; Isabella C A Higgins; Jennifer Mendel Sheldon; Marissa G Hall
Journal:  Appetite       Date:  2021-04-03       Impact factor: 5.016

9.  Predicting obesity reduction after implementing warning labels in Mexico: A modeling study.

Authors:  Ana Basto-Abreu; Rossana Torres-Alvarez; Francisco Reyes-Sánchez; Romina González-Morales; Francisco Canto-Osorio; M Arantxa Colchero; Simón Barquera; Juan A Rivera; Tonatiuh Barrientos-Gutierrez
Journal:  PLoS Med       Date:  2020-07-28       Impact factor: 11.069

10.  Sugary drink warnings: A meta-analysis of experimental studies.

Authors:  Anna H Grummon; Marissa G Hall
Journal:  PLoS Med       Date:  2020-05-20       Impact factor: 11.069

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