一种评估客观测量的食品商店评分与商店和社区好感度之间联系的方法。

IF 3 2区 医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Richard C Sadler, Ashley N Sanders-Jackson, Josh Introne, Robyn Adams
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引用次数: 10

摘要

鉴于健康食品与健康生活方式的核心联系,在世界范围内,人们对在地方一级确定获得健康食品的方法的研究越来越感兴趣。在这一研究领域,论文研究了食物获取的空间因素,或个人对食物环境的感知。然而,到目前为止,还没有任何研究提供一种方法,将经过验证的、客观的食品环境测量与人们如何在社区中获得健康食品的定性数据联系起来。在这项研究中,我们提出了一种方法,将修改后的商店营养环境测量调查(在我们位于密歇根州弗林特的研究地点的每一家商店进行)的得分与来自七个焦点小组(n = 53)。空间分析揭示了某些商店类型的访问和回避的不同模式。连锁店的评价往往更高,而非裔美国人或贫困居民较多的社区的商店则不太受欢迎,更频繁地避开。值得注意的是,许多人避免在自己的社区购物;参与者平均步行3.38英里去买杂货,60%的人在购物时绕过最近的杂货店。我们工作的效用有三个方面。首先,我们提供了一种方法,在一个小样本中将食物获取的感知和客观定义联系起来,可以在全球城市推广。其次,我们展示了对食物获取的感知与客观测量的食品店得分之间的联系,以揭示我们样本中获取食物的不平等,从而说明潜在的联系。第三,我们主张使用这些数据来为平台的开发提供信息,该平台旨在通过非食品零售干预措施使获得健康食品的过程更加容易。未来的工作可以复制我们的方法,以揭示不同食物环境中的模式,并帮助宣传如何最好地干预不同地区的食物环境。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A method for assessing links between objectively measured food store scores and store & neighborhood favorability.

A method for assessing links between objectively measured food store scores and store & neighborhood favorability.

Worldwide, interest in research on methods to define access to healthy food at the local level has grown, given its central connection to carrying out a healthy lifestyle. Within this research domain, papers have examined the spatial element of food access, or individual perceptions about the food environment. To date, however, no studies have provided a method for linking a validated, objective measure of the food environment with qualitative data on how people access healthy food in their community. In this study, we present a methodology for linking scores from a modified Nutrition Environment Measures Survey in Stores (conducted at every store in our study site of Flint, Michigan) with perceptions of the acceptability of food stores and shopping locations drawn from seven focus groups (n = 53). Spatial analysis revealed distinct patterns in visiting and avoidance of certain store types. Chain stores tended to be rated more highly, while stores in neighborhoods with more African-American or poor residents were rated less favorably and avoided more frequently. Notably, many people avoided shopping in their own neighborhoods; participants traveled an average of 3.38 miles to shop for groceries, and 60% bypassed their nearest grocery store when shopping. The utility of our work is threefold. First, we provide a methodology for linking perceived and objective definitions of food access among a small sample that could be replicated in cities across the globe. Second, we show links between perceptions of food access and objectively measured food store scores to uncover inequalities in access in our sample to illustrate potential connections. Third, we advocate for the use of such data in informing the development of a platforms that aim to make the process of accessing healthy food easier via non-food retail based interventions. Future work can replicate our methods to both uncover patterns in distinct food environments and aid in advocacy around how to best intervene in the food environment in various locales.

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来源期刊
International Journal of Health Geographics
International Journal of Health Geographics PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH -
CiteScore
10.20
自引率
2.00%
发文量
17
审稿时长
12 weeks
期刊介绍: A leader among the field, International Journal of Health Geographics is an interdisciplinary, open access journal publishing internationally significant studies of geospatial information systems and science applications in health and healthcare. With an exceptional author satisfaction rate and a quick time to first decision, the journal caters to readers across an array of healthcare disciplines globally. International Journal of Health Geographics welcomes novel studies in the health and healthcare context spanning from spatial data infrastructure and Web geospatial interoperability research, to research into real-time Geographic Information Systems (GIS)-enabled surveillance services, remote sensing applications, spatial epidemiology, spatio-temporal statistics, internet GIS and cyberspace mapping, participatory GIS and citizen sensing, geospatial big data, healthy smart cities and regions, and geospatial Internet of Things and blockchain.
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