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

ABSTRACT:

Introduction

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.

Methods

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.

Results

Data analysis conducted between 2016 and 2017 found that implementing sugar-sweetened beverage warning labels at all sugar-sweetened b

SUBMITTER: Lee BY 

PROVIDER: S-EPMC5783749 | biostudies-literature | 2018 Feb

REPOSITORIES: biostudies-literature