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. 2011 Jul;41(1):88-97.
doi: 10.1016/j.amepre.2011.03.009.

A neighborhood wealth metric for use in health studies

Anne Vernez Moudon  1 , Andrea J Cook, Jared Ulmer, Philip M Hurvitz, Adam Drewnowski
Affiliations

A neighborhood wealth metric for use in health studies

Anne Vernez Moudon et al. Am J Prev Med. 2011 Jul.

Abstract

Background: Measures of neighborhood deprivation used in health research are typically based on conventional area-based SES.

Purpose: 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.

Methods: 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.

Results: 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.

Conclusions: 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.

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References

    1. Jencks C, Mayer SE. The social consequences of growing up in a poor neighborhood. In: Lynn LE, McGeary MGH, editors. Inner-city poverty in the U.S. Washington, DC: National Academy Press; 1990. pp. 111–186.
    1. Mayer SE, Jencks C. Growing up in poor neighborhoods: How much does it matter? Science. 1989;43:1441–1445. - PubMed
    1. Braveman PA, Cubbin C, Egerter S, Chideya S, Marchi KS, Metzler M, et al. Socioeconomic status in health research: One size does not fit all. JAMA. 2005;294:2879–2888. - PubMed
    1. Krieger N, Williams DR, Moss NE. Measuring social class in U.S. public health research: Concepts, methodologies, and guidelines. Annu Rev Public Health. 2003;18:341–378. - PubMed
    1. Adler NE, Boyce WT, Chesney MA, Folkman S, Syme SL. Socioeconomic inequalities in health. No easy solution. JAMA. 1993;269:3140–3145. - PubMed

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