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本文引用的文献

1
Comments on Boone et al., "Validation of a GIS facilities database: quantification and implications of error".对布恩等人所著《地理信息系统设施数据库的验证:误差的量化及其影响》的评论
Ann Epidemiol. 2008 Oct;18(10):823-4; author reply 825. doi: 10.1016/j.annepidem.2008.06.003.
2
Children living in areas with more street trees have lower prevalence of asthma.生活在街道树木较多地区的儿童哮喘患病率较低。
J Epidemiol Community Health. 2008 Jul;62(7):647-9. doi: 10.1136/jech.2007.071894. Epub 2008 May 1.
3
Validation of a GIS facilities database: quantification and implications of error.地理信息系统(GIS)设施数据库的验证:误差的量化及其影响
Ann Epidemiol. 2008 May;18(5):371-7. doi: 10.1016/j.annepidem.2007.11.008. Epub 2008 Feb 8.
4
Putting people into place.让人员各就其位。
Demography. 2007 Nov;44(4):687-703. doi: 10.1353/dem.2007.0045.
5
Understanding social disparities in hypertension prevalence, awareness, treatment, and control: the role of neighborhood context.了解高血压患病率、知晓率、治疗率和控制率方面的社会差异:邻里环境的作用。
Soc Sci Med. 2007 Nov;65(9):1853-66. doi: 10.1016/j.socscimed.2007.05.038. Epub 2007 Jul 20.
6
Neighborhood deprivation and access to fast-food retailing: a national study.社区贫困与快餐零售渠道:一项全国性研究。
Am J Prev Med. 2007 May;32(5):375-82. doi: 10.1016/j.amepre.2007.01.009.
7
Assessing the measurement properties of neighborhood scales: from psychometrics to ecometrics.评估邻里尺度的测量属性:从心理测量学到生态测量学。
Am J Epidemiol. 2007 Apr 15;165(8):858-67. doi: 10.1093/aje/kwm040. Epub 2007 Feb 28.
8
Food store availability and neighborhood characteristics in the United States.美国的食品店供应情况及社区特征
Prev Med. 2007 Mar;44(3):189-95. doi: 10.1016/j.ypmed.2006.08.008. Epub 2006 Sep 25.
9
Supermarkets, other food stores, and obesity: the atherosclerosis risk in communities study.超市、其他食品店与肥胖:社区动脉粥样硬化风险研究
Am J Prev Med. 2006 Apr;30(4):333-9. doi: 10.1016/j.amepre.2005.11.003.
10
Associations of neighborhood characteristics with the location and type of food stores.社区特征与食品商店的位置和类型之间的关联。
Am J Public Health. 2006 Feb;96(2):325-31. doi: 10.2105/AJPH.2004.058040. Epub 2005 Dec 27.

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.

DOI:10.1093/aje/kwp419
PMID:20123688
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2842213/
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)。