Classification bias in commercial business lists for retail food stores in the U.S.

Classification bias in commercial business lists for retail food stores in the U.S.
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DOI:
10.1186/1479-5868-9-46
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发表时间:
2012-04-18
期刊:
The international journal of behavioral nutrition and physical activity
影响因子:
--
通讯作者:
Chaloupka FJ
Chaloupka FJ
中科院分区:
其他
文献类型:
--
作者:
Han E;Powell LM;Zenk SN;Rimkus L;Ohri-Vachaspati P;Chaloupka FJ

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食品环境的各个方面,如不同类型食品商店的可用性,最近成为可能导致肥胖患病率上升的关键可改变因素。鉴于这些研究中的许多都是基于二手数据集得出的结果,并且据报道,食物储存与个体体重结果的关系因储存类型而异,因此了解经常使用的二手数据正确分类食物储存的程度非常重要。我们评估了邓白氏(D&B)和InfoUSA商业商业列表中食品店的分类偏差。我们在芝加哥大都会区随机选择274个人口普查区进行了一次全面普查,并收集了商店内部的详细商店属性进行分类。通过分类匹配状态和存储类型对存储属性进行比较。通过多变量回归评估普查区特征的系统分类偏差。D&B在超市和杂货店的分类匹配率高于InfoUSA,而在便利店的分类匹配率高于InfoUSA。两个列表都更可能正确地分类大型超市、杂货店和便利店,这些商店有更多的收银机和不同类型的服务柜台(仅超市和杂货店)。超市和杂货店的正确分类匹配的可能性并没有系统地因区域特征而变化,而便利店更有可能在以黑人为主的区域被错误分类。研究可以依赖超市和杂货店的商业数据集中的食品商店分类,而便利店和特色食品店的分类则受到社区种族/民族构成的一些系统性偏见的影响。
Aspects of the food environment such as the availability of different types of food stores have recently emerged as key modifiable factors that may contribute to the increased prevalence of obesity. Given that many of these studies have derived their results based on secondary datasets and the relationship of food stores with individual weight outcomes has been reported to vary by store type, it is important to understand the extent to which often-used secondary data correctly classify food stores. We evaluated the classification bias of food stores in Dun & Bradstreet (D&B) and InfoUSA commercial business lists. We performed a full census in 274 randomly selected census tracts in the Chicago metropolitan area and collected detailed store attributes inside stores for classification. Store attributes were compared by classification match status and store type. Systematic classification bias by census tract characteristics was assessed in multivariate regression. D&B had a higher classification match rate than InfoUSA for supermarkets and grocery stores, while InfoUSA was higher for convenience stores. Both lists were more likely to correctly classify large supermarkets, grocery stores, and convenience stores with more cash registers and different types of service counters (supermarkets and grocery stores only). The likelihood of a correct classification match for supermarkets and grocery stores did not vary systemically by tract characteristics whereas convenience stores were more likely to be misclassified in predominately Black tracts. Researches can rely on classification of food stores in commercial datasets for supermarkets and grocery stores whereas classifications for convenience and specialty food stores are subject to some systematic bias by neighborhood racial/ethnic composition.
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