A Multi-Pronged Evaluation of a Healthy Food Access Initiative in Central Texas: Study Design, Methods, and Baseline Findings of the FRESH-Austin Evaluation Study.
A Multi-Pronged Evaluation of a Healthy Food Access Initiative in Central Texas: Study Design, Methods, and Baseline Findings of the FRESH-Austin Evaluation Study.
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DOI：
10.3390/ijerph182010834
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发表时间：
2021-10-15
影响因子：
--
通讯作者：
van den Berg A
中科院分区：
文献类型：
--
作者：
Janda KM;Ranjit N;Salvo D;Nielsen A;Akhavan N;Diaz M;Lemoine P;Casnovsky J;van den Berg A
粮食不安全和获得健康食品的机会有限是复杂的公共卫生问题，需要进行多层次的评价。本文的目的是介绍健康食品获取的多管齐下评估的总体研究设计和基线结果（即，Fresh for Less（FFL）是德克萨斯州中部的一项计划。2018-2021年的FRESH-Austin研究是一项自然实验，利用整群随机抽样策略招募了三组参与者（总人数= 400）：（1）FFL资产的客户，（2）居住在FFL资产1.5英里范围内的居民，以及（3）来自比较社区的居民。评价措施包括年度队列调查、加速计和全球定位系统装置、商店一级审计和建筑环境评估。数据被用于通知和验证基于代理的模型（ABM），以预测食品购物和消费行为。社会人口因素和食品购物和消费行为在这三个群体中是相似的;然而，在FFL资产招募的客户收入较低，食品不安全的患病率较高。基线调查结果表明，需要在低收入社区采取多层次的粮食获取干预措施，如FFL。在未来，ABM可以作为一种具有成本效益的方式来确定未来大规模的食品环境计划和政策的潜在影响。
Food insecurity and limited healthy food access are complex public health issues and warrant multi-level evaluations. The purpose of this paper was to present the overall study design and baseline results of the multi-pronged evaluation of a healthy food access (i.e., Fresh for Less (FFL)) initiative in Central Texas. The 2018–2021 FRESH-Austin study was a natural experiment that utilized a cluster random sampling strategy to recruit three groups of participants (total n = 400): (1) customers at FFL assets, (2) residents that lived within 1.5 miles of an FFL asset, and (3) residents from a comparison community. Evaluation measures included annual cohort surveys, accelerometers and GPS devices, store-level audits, and built environment assessments. Data are being used to inform and validate an agent-based model (ABM) to predict food shopping and consumption behaviors. Sociodemographic factors and food shopping and consumption behaviors were similar across the three groups; however, customers recruited at FFL assets were lower income and had a higher prevalence of food insecurity. The baseline findings demonstrate the need for multi-level food access interventions, such as FFL, in low-income communities. In the future, ABM can be used as a cost-effective way to determine potential impacts of future large-scale food environment programs and policies.
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作者：
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DOI：
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