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Clustering of Fast-Food Restaurants Around Schools: A Novel Application of Spatial Statistics to the Study of Food Environments

机译:学校周围快餐店的聚类:空间统计在食品环境研究中的新应用

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摘要

Objectives. We examined the concentration of fast food restaurants in areas proximal to schools to characterize school neighborhood food environments.Methods. We used geocoded databases of restaurant and school addresses to examine locational patterns of fast-food restaurants and kindergartens and primary and secondary schools in Chicago. We used the bivariate K function statistical method to quantify the degree of clustering (spatial dependence) of fast-food restaurants around school locations.Results. The median distance from any school in Chicago to the nearest fast-food restaurant was 0.52 km, a distance that an adult can walk in little more than 5 minutes, and 78% of schools had at least 1 fast-food restaurant within 800 m. Fast-food restaurants were statistically significantly clustered in areas within a short walking distance from schools, with an estimated 3 to 4 times as many fast-food restaurants within 1.5 km from schools than would be expected if the restaurants were distributed throughout the city in a way unrelated to school locations.Conclusions. Fast-food restaurants are concentrated within a short walking distance from schools, exposing children to poor-quality food environments in their school neighborhoods.
机译:目标。我们研究了学校附近地区快餐店的集中情况,以表征学校附近的饮食环境。我们使用饭店和学校地址的地理编码数据库来检查快餐店和幼儿园以及芝加哥中小学的位置模式。我们使用双变量K函数统计方法来量化学校周围快餐店的聚类程度(空间依赖性)。从芝加哥的任何学校到最近的快餐店的中位距离为0.52公里,一个成年人可以步行不到5分钟的距离,并且78%的学校在800 m内至少有一家快餐店。据统计,快餐店集中在距学校仅几步之遥的区域,距离学校1.5公里以内的快餐店估计是在整个城市分布的3到4倍。与学校位置无关的方式。结论。快餐店集中在距学校一小段步行距离之内,使孩子们在他们所在的社区中处于劣质食品环境中。

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