Suppr超能文献

评估改善获取途径对德克萨斯州一个农村社区水果和蔬菜消费的影响:一项建模研究。

Evaluating the Impact of Improving Access on Consumption of Fruits and Vegetables in a Rural Community in Texas: A Modeling Study.

作者信息

Katapodis Nicole D, Zhang Donglan, Giabbanelli Philippe J, Li Yan, Lyford Conrad P, Rajbhandari-Thapa Janani

机构信息

Department of Health Policy and Management, University of Georgia, Athens, Georgia.

Computer Science Department, Furman University, Greenville, South Carolina.

出版信息

Health Equity. 2019 Jul 25;3(1):382-389. doi: 10.1089/heq.2018.0090. eCollection 2019.

Abstract

Most residents in rural regions of the United States consume fewer amounts of fruits and vegetables (FVs) compared with their urban counterparts. Difficulties in access to FVs often contribute to different consumption patterns in rural regions, aside from a lack of education or motivation for eating healthy foods. This article uses simulation methods to estimate the relationship between increasing food access and FV consumption levels in a targeted rural community. An agent-based model previously developed to predict individual dietary behaviors was used. We adapted it to a rural community in west Texas following a two-step process. First, we validated the model with observed data. Second, we simulated the impact of increasing access on FV consumption. We estimated model parameters from the 2010 census and other sources. We found that decreasing the driving distance to FV outlets would increase FV consumption in the community. For example, a one-mile decrease in driving distance to the nearest FV store could lead to an 8.9% increase in FV consumption; a five-mile decrease in driving distance could lead to a 25% increase in FV consumption in the community. We found that the highest marginal increase in FV consumption was when the driving distance decreased from 3.5 miles to 3 miles. Analysis to inform policy alternatives is a challenge in rural settings due to lack of data. This study highlights the potential of simulation modeling to inform and analyze policy alternatives in settings with scarce data. The findings from modeling can be used to evaluate alternative policies in addressing chronic diseases through dietary interventions in rural regions.

摘要

与美国城市地区的居民相比,美国农村地区的大多数居民食用的水果和蔬菜量更少。除了缺乏关于食用健康食品的教育或动力外,获取水果和蔬菜的困难往往导致农村地区不同的消费模式。本文使用模拟方法来估计在一个目标农村社区增加食品获取与水果和蔬菜消费水平之间的关系。使用了一个先前开发的基于主体的模型来预测个体的饮食行为。我们通过两步过程将其应用于得克萨斯州西部的一个农村社区。首先,我们用观测数据验证了该模型。其次,我们模拟了增加获取渠道对水果和蔬菜消费的影响。我们从2010年人口普查和其他来源估计模型参数。我们发现,缩短前往水果和蔬菜销售点的驾车距离将增加该社区的水果和蔬菜消费。例如,到最近的水果和蔬菜商店的驾车距离每减少一英里,水果和蔬菜消费可能会增加8.9%;驾车距离减少五英里可能会导致该社区的水果和蔬菜消费增加25%。我们发现,当驾车距离从3.5英里减少到3英里时,水果和蔬菜消费的边际增加最大。由于缺乏数据,在农村地区分析政策选择是一项挑战。本研究强调了模拟建模在缺乏数据的环境中为政策选择提供信息和分析的潜力。建模结果可用于评估通过农村地区的饮食干预来应对慢性病的替代政策。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2e84/6657293/9a8d71b11d40/fig-1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验