Simulating the Impact of Sugar-Sweetened Beverage Warning Labels in Three Cities

التفاصيل البيبلوغرافية
العنوان: Simulating the Impact of Sugar-Sweetened Beverage Warning Labels in Three Cities
المؤلفون: Shawn T. Brown, Joel Gittelsohn, Michelle S. Wong, Eli Zenkov, Yeeli Mui, Peggy I. Wang, Atif Adam, Marie C. Ferguson, Bruce Y. Lee, Daniel L. Hertenstein
سنة النشر: 2017
مصطلحات موضوعية: Male, Systems Analysis, Adolescent, Epidemiology, Health impact, Overweight, Product Labeling, Models, Biological, Article, Beverages, 03 medical and health sciences, 0302 clinical medicine, 030225 pediatrics, Environmental health, Prevalence, Medicine, Humans, 030212 general & internal medicine, education, Child, Philadelphia, education.field_of_study, Beverage consumption, Schools, business.industry, Extramural, Literacy rate, Public Health, Environmental and Occupational Health, medicine.disease, Obesity, Baltimore, Warning label, Female, San Francisco, medicine.symptom, business, Energy Intake, Nutritive Sweeteners
الوصف: A number of locations have been considering sugar-sweetened beverage point-of-purchase warning label policies to help address rising adolescent overweight and obesity prevalence.To explore the impact of such policies, in 2016 detailed agent-based models of Baltimore, Philadelphia, and San Francisco were developed, representing their populations, school locations, and food sources, using data from various sources collected between 2005 and 2014. The model simulated, over a 7-year period, the mean change in BMI and obesity prevalence in each of the cities from sugar-sweetened beverage warning label policies.Data analysis conducted between 2016 and 2017 found that implementing sugar-sweetened beverage warning labels at all sugar-sweetened beverage retailers lowered obesity prevalence among adolescents in all three cities. Point-of-purchase labels with 8% efficacy (i.e., labels reducing probability of sugar-sweetened beverage consumption by 8%) resulted in the following percentage changes in obesity prevalence: Baltimore: -1.69% (95% CI= -2.75%, -0.97%, p0.001); San Francisco: -4.08% (95% CI= -5.96%, -2.2%, p0.001); Philadelphia: -2.17% (95% CI= -3.07%, -1.42%, p0.001).Agent-based simulations showed how warning labels may decrease overweight and obesity prevalence in a variety of circumstances with label efficacy and literacy rate identified as potential drivers. Implementing a warning label policy may lead to a reduction in obesity prevalence. Focusing on warning label design and store compliance, especially at supermarkets, may further increase the health impact.
اللغة: English
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::247e4819a865e56f0f9de79d6c04e62a
https://europepmc.org/articles/PMC5783749/
Rights: OPEN
رقم الانضمام: edsair.doi.dedup.....247e4819a865e56f0f9de79d6c04e62a
قاعدة البيانات: OpenAIRE