Exploring the role of the food environment on food shopping patterns in Philadelphia, PA, USA: a semiquantitative comparison of two matched neighborhood groups.
Exploring the role of the food environment on food shopping patterns in Philadelphia, PA, USA: a semiquantitative comparison of two matched neighborhood groups.
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DOI：
10.3390/ijerph10010295
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发表时间：
2013-01-14
影响因子：
--
通讯作者：
Hillier A
中科院分区：
文献类型：
--
作者：
Hirsch JA;Hillier A
越来越多的研究集中在人造食物环境和营养相关的结果上，但什么构成了食物环境以及这种环境如何影响个体行为仍然不清楚。本研究评估了在不同的食物环境中，个人的出行方式和到食物购物场所的距离是否不同，以及个人和家庭层面的因素是否与食物购物模式有关。50个邻居共享传统定义的食物环境（25个处于不利环境，25个处于有利环境），使用封闭式和开放式调查问题的组合进行了调查。利用地理信息系统（GIS）绘制食品购物模式图。被访问的商店超出了0.5英里（805米）的半径，传统上用来代表一个人在城市地区的食物环境的范围。我们发现两组之间在购物频率或商店选择背后的激励因素方面没有显著差异。两组人在大型食品采购旅行中没有差异。对于短途旅行，在有利的食物环境中，个体旅行的距离较短，更有可能步行而不是开车。社会经济地位，包括汽车拥有量、教育程度和收入都会影响旅行距离。这些发现突出了研究和测量食物环境的复杂性。
Increasing research has focused on the built food environment and nutrition-related outcomes, yet what constitutes a food environment and how this environment influences individual behavior still remain unclear. This study assesses whether travel mode and distance to food shopping venues differ among individuals in varying food environments and whether individual- and household-level factors are associated with food shopping patterns. Fifty neighbors who share a traditionally defined food environment (25 in an unfavorable environment and 25 in a favorable environment) were surveyed using a mix of close- and open-ended survey questions. Food shopping patterns were mapped using Geographic Information Systems (GIS). Stores visited were beyond the 0.5-mile (805 meters) radius traditionally used to represent the extent of an individual’s food environment in an urban area. We found no significant difference in shopping frequency or motivating factor behind store choice between the groups. No differences existed between the two groups for big food shopping trips. For small trips, individuals in the favorable food environment traveled shorter distances and were more likely to walk than drive. Socioeconomic status, including car ownership, education, and income influenced distance traveled. These findings highlight the complexities involved in the study and measurement of food environments.
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