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

机译:美国零售食品商店的商业业务清单中的分类偏差

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摘要

BackgroundAspects 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.
机译:背景技术近来已经出现了诸如可存储各种类型的食物之类的食物环境方面的关键可修改因素,这些因素可能导致肥胖症患病率增加。鉴于许多此类研究都是基于二级数据集得出的结果,并且据报道食品储藏量与个体体重结果之间的关系会因食品储藏类型而异,因此了解经常使用的二级数据对食品进行正确分类的程度非常重要商店。我们评估了邓白氏(D&B)和InfoUSA商业业务清单中食品商店的分类偏差。

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