Measuring Spatial Social Polarization in Public Health Research: A Scoping Review of Methods and Applications.

Edwin M McCulley, Lisa Frueh, Deiriai Myers, Samuel Jaros, Hoda S Abdel Magid, Felicia Bayer, Gina S Lovasi
Author Information
  1. Edwin M McCulley: Urban Health Collaborative, Drexel University Dornsife School of Public Health, 3600 Market St, 7th Floor, Philadelphia, PA, 19104, USA. emm387@drexel.edu. ORCID
  2. Lisa Frueh: Department of Environmental and Occupational Health, Drexel University Dornsife School of Public Health, Philadelphia, PA, USA.
  3. Deiriai Myers: Department of Epidemiology and Biostatistics, Drexel University Dornsife School of Public Health, Philadelphia, PA, USA.
  4. Samuel Jaros: Department of Epidemiology and Population Health, Stanford School of Medicine, Stanford, CA, USA.
  5. Hoda S Abdel Magid: Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA.
  6. Felicia Bayer: Urban Health Collaborative, Drexel University Dornsife School of Public Health, 3600 Market St, 7th Floor, Philadelphia, PA, 19104, USA.
  7. Gina S Lovasi: Urban Health Collaborative, Drexel University Dornsife School of Public Health, 3600 Market St, 7th Floor, Philadelphia, PA, 19104, USA.

Abstract

Spatial social polarization (SSP) refers to the uneven spatial distribution and subsequent concentration of polarized social and/or economic groups in a specified geographic area. However, there is heterogeneity in how SSP is measured and operationalized in research. To this end, we conducted a scoping review to characterize the use of SSP measures in public health research, providing a foundation for those seeking to navigate this complex literature, select measurement options, and identify opportunities for methodological development. Using a structured search strategy, we searched PubMed for any primary research, published since 2007, that examined the relationship between SSP and health outcomes. Across 117 included studies, we found a body of evidence that was primarily set in the United States (n���=���104), published between 2020 and 2022 (n���=���52), and focused on non-communicable diseases (n���=���40). We found that defining SSP in the context of privilege, deprivation, and segregation returns a variety of measures. Among measures, we categorized 18 of them as SSP measures, with the Index of Concentration at the Extremes (n���=���43) being the most common, and 5 of them as composite indices based on numerous underlying variables spanning several domains like education and race/ethnicity. While most employed a single SSP measure (n���=���64), some included up to 5 measures to examine the robustness of findings or to identify how a multidimensional approach to SSP affected associations. Our findings fill a critical literature gap by summarizing options for operationalizing SSP measures and documenting their respective methodologies. Future research should consider using multiple SSP measures to capture the multidimensionality of SSP, widen the scope of health outcomes, and clearly explain the choice of measure(s) and methods used to derive them. Our findings can inform future research questions and help guide researchers in the selection and utilization of the various SSP measures.

Keywords

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Grants

  1. R01AG049970/NIA NIH HHS
  2. R01AG049970-S1/NIA NIH HHS
  3. R56AG049970/NIA NIH HHS
  4. Inclusion/Drexel University
  5. Diversity/Drexel University
  6. Equity/Drexel University
  7. Anti-racism (IDEA) Graduate Fellowship Award/Drexel University
  8. Inclusion/Drexel University
  9. Diversity/Drexel University
  10. Equity/Drexel University
  11. Anti-racism (IDEA) Graduate Fellowship Award/Drexel University
  12. F31DA057107/NIDA NIH HHS
  13. K99HL161479/NHLBI NIH HHS
  14. R00HL161479/NHLBI NIH HHS

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