Scaling Up The SNAP-ED Toolkit Interventions to Improve Fruit and Vegetable Consumption Across Counties in Georgia: An Agent-Based Model

D. Zhang, Janani J. Thapa, Gang Li, Heejung Son, Zhuo Chen, Lan Mu, Yan Li, Junxiu Liu, J. Pagán, P. Giabbanelli
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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 - $12) in each scenario.
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扩大SNAP-ED工具包干预措施,以改善佐治亚州各县的水果和蔬菜消费:基于代理的模型
补充营养援助计划(SNAP)-Ed工具包包括一套干预措施,以在有限的预算下增加符合SNAP条件的家庭的水果和蔬菜消费。目前还不清楚这些干预措施如何影响当地人群的饮食选择。本研究将详细的当地数据与基于主体的模型(ABM)相结合,以评估在乔治亚州选定的13个亚特兰大大都会县扩大SNAP-Ed工具包干预措施的潜在成本效益。ABM从先前关于健康饮食选择的研究中获得了见解,并得到了经验验证。该模型预测了实际FV消费水平($\ mathm {R}^{2}=0.951,\ \ mathm {P} < 0.001$)。如果这些干预措施能够成功地将社区健康饮食规范提高10%和20%,它们将显著增加FV消费。在每种情况下,每年让一个人每天至少食用两份FV的成本分别为23美元(95%置信区间[CI]: 18 - 29美元)和10美元(95%置信区间:9 - 12美元)。
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