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测量当地食品环境:现有数据源比较。

Measurement of the local food environment: a comparison of existing data sources.

机构信息

Robert Wood Johnson Foundation Health & Society Scholars Program, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA.

出版信息

Am J Epidemiol. 2010 Mar 1;171(5):609-17. doi: 10.1093/aje/kwp419. Epub 2010 Jan 31.

Abstract

Studying the relation between the residential environment and health requires valid, reliable, and cost-effective methods to collect data on residential environments. This 2002 study compared the level of agreement between measures of the presence of neighborhood businesses drawn from 2 common sources of data used for research on the built environment and health: listings of businesses from commercial databases and direct observations of city blocks by raters. Kappa statistics were calculated for 6 types of businesses-drugstores, liquor stores, bars, convenience stores, restaurants, and grocers-located on 1,663 city blocks in Chicago, Illinois. Logistic regressions estimated whether disagreement between measurement methods was systematically correlated with the socioeconomic and demographic characteristics of neighborhoods. Levels of agreement between the 2 sources were relatively high, with significant (P < 0.001) kappa statistics for each business type ranging from 0.32 to 0.70. Most business types were more likely to be reported by direct observations than in the commercial database listings. Disagreement between the 2 sources was not significantly correlated with the socioeconomic and demographic characteristics of neighborhoods. Results suggest that researchers should have reasonable confidence using whichever method (or combination of methods) is most cost-effective and theoretically appropriate for their research design.

摘要

研究居住环境与健康之间的关系需要有效、可靠且具有成本效益的方法来收集居住环境数据。这项 2002 年的研究比较了两种常用于研究建筑环境与健康关系的数据源(商业数据库中的企业列表和评估人员对城市街区的直接观察)中得出的邻里企业存在情况测量值之间的一致性水平。在伊利诺伊州芝加哥的 1663 个城市街区上,对 6 种类型的企业(药店、酒类商店、酒吧、便利店、餐馆和杂货店)进行了 Kappa 统计分析。逻辑回归估计了测量方法之间的分歧是否与邻里的社会经济和人口特征有系统地相关。两种来源之间的一致性水平相对较高,每种企业类型的显著(P<0.001)Kappa 统计值范围从 0.32 到 0.70。大多数企业类型更有可能通过直接观察而不是商业数据库列表来报告。两种来源之间的分歧与邻里的社会经济和人口特征没有显著相关。研究结果表明,研究人员应该有合理的信心,使用最具成本效益且符合其研究设计理论要求的方法(或多种方法的组合)。

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