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识别零售食品店以评估食品环境。

Identifying retail food stores to evaluate the food environment.

机构信息

Department of Epidemiology and Biostatistics, University at Albany School of Public Health, Rensselaer, New York 12144-3456, USA.

出版信息

Am J Prev Med. 2010 Jul;39(1):41-4. doi: 10.1016/j.amepre.2010.03.006. Epub 2010 May 26.

DOI:10.1016/j.amepre.2010.03.006
PMID:20537845
Abstract

BACKGROUND

The availability of food stores is the most frequently used measure of the food environment, but identifying them poses a technical challenge.

PURPOSE

This study evaluated eight administrative lists of retailers for identifying food stores in an urban community.

METHODS

Lists of inspected food stores (IFS), cigarette retailers, liquor licenses, lottery retailers, gasoline retailers, farmers' markets, and authorized WIC (Program for Women, Infants, and Children) and Supplemental Nutrition Assistance Program (SNAP) retailers for Albany NY were obtained from government agencies. Sensitivity and positive predictive value (PPV) were assessed, using ground-truthing as the validation measure. Stores were also grouped by the number of lists they were documented on, and the proportion of food stores in each group was obtained. Data were collected and analyzed in 2009.

RESULTS

A total of 166 stores, including four from ground-truthing, were identified. Forty-three stores were disqualified, as a result of having no targeted foods (n=17); being in the access-restricted area of a building (n=15); and being out of business (n=11). Sensitivity was highest in IFS (87.0%), followed by the cigarette retailers' list (76.4%). PPV was highest in WIC and farmers' markets lists (100%), followed by SNAP (97.8%). None of the lists had both sensitivity and PPV greater than 90%. All stores that were listed by four or more lists were food stores. The proportion of food stores was lowest (33.3%) for stores listed by only one list.

CONCLUSIONS

Individual lists had limited utility for identifying food stores, but when they were combined, the likelihood of a retail store being a food store could be predicted by the number of lists the store was documented on. This information can be used to increase the efficiency of ground-truthing.

摘要

背景

食品店的供应情况是食品环境中最常用的衡量标准,但识别它们存在技术挑战。

目的

本研究评估了用于识别城市社区食品店的八种行政零售商清单。

方法

从政府机构获取了纽约奥尔巴尼的检查食品店 (IFS)、香烟零售商、酒类许可证、彩票零售商、汽油零售商、农贸市场以及授权 WIC(妇女、婴儿和儿童计划)和补充营养援助计划 (SNAP) 零售商的清单。使用地面真实作为验证措施,评估了敏感性和阳性预测值 (PPV)。还根据记录的清单数量对商店进行了分组,并获得了每个组中食品店的比例。数据于 2009 年收集和分析。

结果

共确定了 166 家商店,其中包括 4 家来自地面真实的商店。由于没有目标食品(n=17)、位于建筑物的受限进入区域(n=15)和停业(n=11),43 家商店被取消资格。IFS 的敏感性最高(87.0%),其次是香烟零售商清单(76.4%)。WIC 和农贸市场清单的 PPV 最高(100%),其次是 SNAP(97.8%)。没有任何一份清单的敏感性和 PPV 均大于 90%。被四个或更多清单列出的所有商店均为食品店。仅被一个清单列出的商店的食品店比例最低(33.3%)。

结论

单个清单在识别食品店方面的作用有限,但当它们组合使用时,商店被记录在清单上的数量可以预测其成为食品店的可能性。此信息可用于提高地面真实的效率。

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