Elsevier

Social Science & Medicine

Volume 57, Issue 7, October 2003, Pages 1221-1235
Social Science & Medicine

Explaining variation in health status across space and time: implications for racial and ethnic disparities in self-rated health

https://doi.org/10.1016/S0277-9536(02)00502-6Get rights and content

Abstract

We use the Metropolitan Community Information Center-Metro Survey—a serial cross section of adults residing in the City of Chicago, USA, conducted from 1991 through 1999—in combination with 1990 census data to simultaneously examine the extent to which self-rated health varies across Chicago neighborhoods and across time. Three-level hierarchical logit models are employed to decompose individual, spatial, and temporal variance in self-rated health. Results indicate that variation in self-rated health across neighborhoods is explained, in part, by variation in the level of neighborhood affluence. Neighborhood level poverty, however, is not a significant predictor of self-rated health. Community level affluence, moreover, accounts for a substantial proportion of the residual health deficit experienced by African-Americans when compared with Whites (after controlling for individual level SES). The effects of affluence hold when controlling for spatial autocorrelation and when considered in primarily African-American neighborhoods. Findings also indicate that individuals living in the City of Chicago became significantly healthier over the decade of the 1990s, and that this improvement in health is explained largely by the increasing education and income levels of Chicago residents.

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.

References (70)

  • C. Duncan et al.

    Psychiatric morbidity; a multilevel approach to regional variations in the UK

    Journal of Epidemiology and Community Health

    (1995)
  • G.J. Duncan et al.

    Assessing the effects of context in studies of child and youth development

    Educational Psychologist

    (1999)
  • Earls, F., & Buka, S. L. (1997). Project on Human Development in Chicago Neighborhoods: Technical Report. National...
  • S. Elreedy et al.

    Relations between individual and neighborhood-based measures of socioeconomic position and bone lead concentrations among community-exposed menThe normative aging study

    American Journal of Epidemiology

    (1999)
  • K.F. Ferraro et al.

    Health trajectoriesLong-term dynamics among black and white adults

    Journal of Health and Social Behavior

    (1997)
  • B.K. Finch et al.

    Validity of self-rated health among Latino(a)s

    American Journal of Epidemiology

    (2002)
  • K. Fitzpatrick et al.

    Unhealthy placesThe ecology of risk in the urban landscape

    (2000)
  • R.C. Gibson

    Race and the self-reported health of elderly persons

    Journal of Gerontology: Social Sciences

    (1991)
  • M. Goldstein et al.

    Predicting changes in perceived self-reported health status

    American Journal of Public Health

    (1984)
  • D.A. Griffith et al.

    A tale of two swathsUrban childhood blood-lead levels across Syracuse

    Annals of the Association of American Geographers

    (1998)
  • M. Haan et al.

    Poverty and healthProspective evidence from the alameda county study

    American Journal of Epidemiology

    (1987)
  • J. House et al.

    Understanding and reducing socioeconomic and racial/ethnic disparities in health

  • C.K. Hsiao

    Comparing the performance of two indices for spatial model selectionApplication to two mortality data 1

    Statistical Medicine

    (2000)
  • K. Humphreys et al.

    Area variations in health outcomesArtefact or ecology

    International Journal of Epidemiology

    (1991)
  • E.L. Idler et al.

    Self-ratings of healthDo they also predict change in functional ability?

    Journal of Gerontology Social Science

    (1995)
  • E.L. Idler et al.

    Self-rated health and mortalityA review of twenty-seven community studies

    Journal of Health and Social Behavior

    (1997)
  • E.L. Idler et al.

    Self-rated health and mortality in the NHANES-1 Epidemiologic Follow-up Study

    American Jounal of Public Health

    (1990)
  • R.J. Johnson et al.

    Gender, race, and healthThe structure of health status among older adults

    The Gerontologist

    (1994)
  • G.A. Kaplan et al.

    Socioeconomic factors and cardiovascular diseaseA review of the literature

    Circulation

    (1993)
  • G.A. Kaplan et al.

    Social connections and mortality from all causes and cardiovascular diseaseProspective evidence from eastern Finland

    American Journal of Epidemiology

    (1988)
  • J.D. Kasarda et al.

    Community attachment in mass society

    American Sociological Review

    (1974)
  • I. Kawachi et al.

    Social cohesion, social capital, and health

  • I. Kawachi et al.

    Income inequality and healthPathways and mechanisms

    Health Services Research

    (1999)
  • I. Kawachi et al.

    Social capital, income inequality, and mortality

    American Journal of Public Health

    (1997)
  • R. Kington et al.

    Socioeconomic status and racial and ethnic differences in functional status associated with chronic diseases

    American Jounal of Public Health

    (1997)
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