Explaining variation in health status across space and time: implications for racial and ethnic disparities in self-rated health
Section snippets
Neighborhood structural context and health
In what follows, we develop a theoretical model that articulates the role of neighborhood socioeconomic resources in contributing to the health of urban residents above and beyond individual socioeconomic status. As noted, we emphasize the macro-level presence of resources as the critical structural antecedent in the link between neighborhood context and health. This theoretical focus is distinguished from the typical emphasis on the prevalence of disadvantage. We root this focus in Wilson's
Data and methods
We use two data sources in this analysis: the 1990 Decennial Census and the 1991–1999 Metropolitan Chicago Information Center Metro Survey (MCIC-MS). Neighborhood structural characteristics are constructed from census data and include measures of poverty, affluence, residential stability, and immigrant concentration (described below). Neighborhood measures are constructed for 342 “Neighborhood clusters” (NCs)—aggregations of two to three census tracts designed to more accurately represent the
Analytic strategy
We use three-level hierarchical logit models (Raudenbush & Bryk, 2002; Snijders & Bosker, 1999) in order to decompose the variance in self-rated health into individual, temporal, and spatial components. This strategy allows us to simultaneously assess the extent to which health varies across individuals (within neighborhoods and time points), time (within neighborhoods), and neighborhoods (across space). By employing a three-level approach, we also ensure that conclusions regarding neighborhood
Results
Table 2 reports the results of three-level hierarchical logit models of self-rated health. Model 1 reports the results of the unconditional three-level model.12
Discussion
Race and ethnic differences in health status have occupied considerable research attention in recent decades. While the hypothesis that discrepancies in socioeconomic resources at the individual level has helped explain a proportion of the race/ethnic health gap, evidence suggests that individual level SES alone cannot fully account for the persistent disparities in health between Whites and African American and Latino minorities. Extending the work of Cagney et al. (2002) on elderly urban
Acknowledgements
Thanks to Garth Taylor and the Metropolitan Community Information Center for use of the Metro Survey data. Thanks to Angelo Alonzo, Willard Manning, and Robert Dietz for their helpful comments.
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