Department of Urban Design and Planning, University of Washington, Seattle, 98195, USA.
Am J Prev Med. 2011 Jul;41(1):88-97. doi: 10.1016/j.amepre.2011.03.009.
Measures of neighborhood deprivation used in health research are typically based on conventional area-based SES.
The aim of this study is to examine new data and measures of SES for use in health research. Specifically, assessed property values are introduced as a new individual-level metric of wealth and tested for their ability to substitute for conventional area-based SES as measures of neighborhood deprivation.
The analysis was conducted in 2010 using data from 1922 participants in the 2008-2009 survey of the Seattle Obesity Study (SOS). It compared the relative strength of the association between the individual-level neighborhood wealth metric (assessed property values) and area-level SES measures (including education, income, and percentage above poverty as single variables, and as the composite Singh index) on the binary outcome fair/poor general health status. Analyses were adjusted for gender, categoric age, race, employment status, home ownership, and household income.
The neighborhood wealth measure was more predictive of fair/poor health status than area-level SES measures, calculated either as single variables or as indices (lower DIC measures for all models). The odds of having a fair/poor health status decreased by 0.85 (95% CI=0.77, 0.93) per $50,000 increase in neighborhood property values after adjusting for individual-level SES measures.
The proposed individual-level metric of neighborhood wealth, if replicated in other areas, could replace area-based SES measures, thus simplifying analyses of contextual effects on health.
健康研究中使用的邻里剥夺衡量标准通常基于传统的基于区域的社会经济地位。
本研究旨在检验用于健康研究的新的社会经济地位数据和衡量标准。具体而言,评估的财产价值被引入作为财富的新个体水平衡量标准,并测试其作为邻里剥夺衡量标准替代传统基于区域的社会经济地位的能力。
该分析于 2010 年使用 2008-2009 年西雅图肥胖研究(SOS)调查中 1922 名参与者的数据进行。它比较了个体水平邻里财富衡量标准(评估的财产价值)与区域水平社会经济地位衡量标准(包括教育、收入和贫困线以上百分比,作为单一变量以及作为辛格综合指数)在二元结果公平/较差的总体健康状况上的关联强度。分析调整了性别、年龄类别、种族、就业状况、住房所有权和家庭收入。
邻里财富衡量标准比区域社会经济地位衡量标准更能预测公平/较差的健康状况,无论是作为单一变量还是作为指数(所有模型的 DIC 衡量标准都较低)。在调整个体社会经济地位衡量标准后,邻里财产价值每增加 50,000 美元,健康状况较差的几率降低 0.85(95%置信区间=0.77,0.93)。
如果在其他地区得到复制,拟议的邻里财富个体水平衡量标准可以替代基于区域的社会经济地位衡量标准,从而简化对健康的背景影响的分析。