D. Zhang, Janani J. Thapa, Gang Li, Heejung Son, Zhuo Chen, Lan Mu, Yan Li, Junxiu Liu, J. Pagán, P. Giabbanelli
{"title":"Scaling Up The SNAP-ED Toolkit Interventions to Improve Fruit and Vegetable Consumption Across Counties in Georgia: An Agent-Based Model","authors":"D. Zhang, Janani J. Thapa, Gang Li, Heejung Son, Zhuo Chen, Lan Mu, Yan Li, Junxiu Liu, J. Pagán, P. Giabbanelli","doi":"10.23919/ANNSIM52504.2021.9552136","DOIUrl":null,"url":null,"abstract":"The Supplemental Nutrition Assistance Program (SNAP)-Ed Toolkit includes a set of interventions to increase the fruit and vegetable (FV) consumption of SNAP-eligible households on a limited budget. It is unclear how the interventions affect dietary choices in local populations. This study combines detailed local data with an agent-based model (ABM) to assess the potential cost-effectiveness of scaling up the SNAP-Ed Toolkit interventions in 13 selected metro-Atlanta counties in Georgia. The ABM drew insights from prior research on healthy eating choices and was empirically validated. The model predicted the actual FV consumption levels ($\\mathrm{R}^{2}=0.951,\\ \\mathrm{P} < 0.001$). If the interventions could successfully enhance community healthy eating norms by 10% and 20%, they would significantly increase FV consumption. The cost per year to bring one person to consume at least two servings of FV daily) was $23 (95% confidence interval [CI]: $18 - $29), and $10 (95% CI: $9 - $12) in each scenario.","PeriodicalId":6782,"journal":{"name":"2021 Annual Modeling and Simulation Conference (ANNSIM)","volume":"4 1","pages":"1-12"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 Annual Modeling and Simulation Conference (ANNSIM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/ANNSIM52504.2021.9552136","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The Supplemental Nutrition Assistance Program (SNAP)-Ed Toolkit includes a set of interventions to increase the fruit and vegetable (FV) consumption of SNAP-eligible households on a limited budget. It is unclear how the interventions affect dietary choices in local populations. This study combines detailed local data with an agent-based model (ABM) to assess the potential cost-effectiveness of scaling up the SNAP-Ed Toolkit interventions in 13 selected metro-Atlanta counties in Georgia. The ABM drew insights from prior research on healthy eating choices and was empirically validated. The model predicted the actual FV consumption levels ($\mathrm{R}^{2}=0.951,\ \mathrm{P} < 0.001$). If the interventions could successfully enhance community healthy eating norms by 10% and 20%, they would significantly increase FV consumption. The cost per year to bring one person to consume at least two servings of FV daily) was $23 (95% confidence interval [CI]: $18 - $29), and $10 (95% CI: $9 - $12) in each scenario.