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Empirical evidence supporting the inclusion of multi-axes segregation in assessing US county health

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  • Wong, David W.S.
  • Das Gupta, Debasree

Abstract

To facilitate community action toward health equity, the County Health Rankings & Roadmaps program (CHR&R) assigns health rankings to US counties. The CHR&R conceptual model considers White-Black and White-non-White dissimilarity values to represent residential segregation as part of the family and social support subcomponent. As the US is greying and becoming more multi-racial-ethnic, the two-group White-centered segregation measures are inadequate to capture segregation among population subgroups in the US. Thus, we evaluate the relevancy of segregation measures that consider multiple racial, ethnic, and age groups in assessing US county health. Besides using the two-group dissimilarity index to measure White-centered racial segregation as conceptualized by CHR&R, the study also uses the multi-group generalized dissimilarity index to measure racial-ethnic-age segregation by counties, employing both aspatial and spatial versions of these measures. These indices are computed for counties using the 2015–2019 American Community Survey data at the census tract level. Descriptive statistics and regressions controlling for sociodemographic factors and healthcare access are used to assess the contributions of individual segregation measures to mortality (life expectancy, years of potential life lost and premature mortality) and morbidity (frequent mental distress, frequent physical distress, and low birth weight) indicators representing county health.

Suggested Citation

  • Wong, David W.S. & Das Gupta, Debasree, 2023. "Empirical evidence supporting the inclusion of multi-axes segregation in assessing US county health," Social Science & Medicine, Elsevier, vol. 339(C).
    • Handle: RePEc:eee:socmed:v:339:y:2023:i:c:s027795362300761x
    DOI: 10.1016/j.socscimed.2023.116404
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