Bruce Y. Lee|Marie C. Ferguson|Daniel L. Hertenstein|Atif Adam|Eli Zenkov|Peggy I. Wang|Michelle S. Wong|Joel Gittelsohn|Yeeli Mui|Shawn T. Brown
Simulating the Impact of Sugar-Sweetened Beverage Warning Labels in Three Cities
Johns Hopkins University|Johns Hopkins University|Johns Hopkins University|Johns Hopkins University|Pittsburgh Supercomputing Center|Carnegie Mellon University|Johns Hopkins University|Johns Hopkins University|Johns Hopkins University|Johns Hopkins University|Johns Hopkins University|Pittsburgh Supercomputing Center|Carnegie Mellon University|Johns Hopkins University
introduction number locations considering sugarsweetened beverage pointofpurchase warning label policies help address rising adolescent overweight obesity prevalence methods explore impact policies 2016 detailed agentbased models baltimore philadelphia san francisco developed representing populations school locations food sources using data various sources collected 2005 2014 model simulated 7year period mean change bmi obesity prevalence cities sugarsweetened beverage warning label policies results data analysis conducted 2016 2017 found implementing sugarsweetened beverage warning labels sugarsweetened beverage retailers lowered obesity prevalence among adolescents three cities pointofpurchase labels 8 efficacy ie labels reducing probability sugarsweetened beverage consumption 8 resulted following percentage changes obesity prevalence baltimore 169 95 ci 275 097 p0001 san francisco 408 95 ci 596 22 p0001 philadelphia 217 95 ci 307 142 p0001 conclusions agentbased simulations showed warning labels may decrease overweight obesity prevalence variety circumstances label efficacy literacy rate identified potential drivers implementing warning label policy may lead reduction obesity prevalence focusing warning label design store compliance especially supermarkets may increase health impact