Historic Redlining Practices and Contemporary Determinants of Health in the Detroit Metropolitan Area.

Roshanak Mehdipanah, Katelyn R McVay, Amy J Schulz
Author Information
  1. Roshanak Mehdipanah: Roshanak Mehdipanah and Amy J. Schulz are with the School of Public Health, University of Michigan, Ann Arbor. Katelyn R. McVay is with the Department of Urban Studies and Planning, Massachusetts Institute of Technology, Cambridge.
  2. Katelyn R McVay: Roshanak Mehdipanah and Amy J. Schulz are with the School of Public Health, University of Michigan, Ann Arbor. Katelyn R. McVay is with the Department of Urban Studies and Planning, Massachusetts Institute of Technology, Cambridge.
  3. Amy J Schulz: Roshanak Mehdipanah and Amy J. Schulz are with the School of Public Health, University of Michigan, Ann Arbor. Katelyn R. McVay is with the Department of Urban Studies and Planning, Massachusetts Institute of Technology, Cambridge.

Abstract

To examine how redlining, a historical racially discriminatory housing policy implemented by the Home Owners' Loan Corporation (HOLC), is associated with current neighborhood determinants of health in the Detroit Metropolitan Area. We analyzed associations between census tract‒level HOLC color grades (red = "hazardous"; yellow = "declining"; blue = "desirable"; and green = "best") and a developed neighborhood determinants of health index (DOHI) consisting of 8 indicators of economic, social, governance, and physical environment characteristics using spatial regression analysis and controlling for change in the census tract's percentage of White residents. A total of 484 Detroit Metropolitan Area census tracts had HOLC grades. The mean redlining score across all census tracts was 3.02 (min = 1.0; max = 4.0). The mean contemporary DOHI was 19.11 (min = 8.0; max = 36.0). Regression models show significantly higher DOHI scores in yellowlined (b = 2.71; 95% confidence interval [CI] = 1.52, 3.91), bluelined (b = 5.33; 95% CI = 3.65, 7.01), and greenlined (b = 9.25; 95% CI = 6.86, 11.64) neighborhoods compared with redlined neighborhoods. Historical redlined neighborhoods experience contemporary determinants of health conditions that are less conducive to health compared with those in nonredlined neighborhoods. These differences also reflect the accumulation of resources essential for health in greenlined neighborhoods. Neighborhood development initiatives should consider the impacts of historical redlining on contemporary neighborhood conditions. (. 2023;113(S1): S49-S57. https://doi.org/10.2105/AJPH.2022.307162).

References

  1. PLoS Med. 2014 Sep 22;11(9):e1001727 [PMID: 25243463]
  2. J Urban Health. 2018 Oct;95(5):662-671 [PMID: 28929301]
  3. Health Place. 2019 Jan;55:9-19 [PMID: 30448354]
  4. J Pain Palliat Care Pharmacother. 2015 Jun;29(2):133-9 [PMID: 26095483]
  5. Soc Sci Med. 2018 Feb;199:87-95 [PMID: 28579093]
  6. SSM Popul Health. 2021 Apr 20;14:100793 [PMID: 33997243]
  7. J Health Soc Behav. 2015 Jun;56(2):199-224 [PMID: 25930147]
  8. Du Bois Rev. 2016 Fall;13(2):285-304 [PMID: 28951763]
  9. J Urban Health. 2022 Dec;99(6):959-983 [PMID: 35915192]
  10. J Gerontol B Psychol Sci Soc Sci. 2020 Jun 2;75(6):1348-1357 [PMID: 30753721]
  11. J Urban Health. 2021 Feb;98(1):146-157 [PMID: 33398612]
  12. Am J Public Health. 2020 Jul;110(7):1046-1053 [PMID: 32437270]
  13. J Urban Health. 2006 May;83(3):406-20 [PMID: 16739044]
  14. Lancet. 2017 Apr 8;389(10077):1453-1463 [PMID: 28402827]
  15. Int J Environ Res Public Health. 2020 Aug 10;17(16): [PMID: 32785046]
  16. Am J Public Health. 2003 Feb;93(2):215-21 [PMID: 12554572]
  17. J Urban Health. 2018 Oct;95(5):610-612 [PMID: 29679220]

Grants

  1. P30 ES017885/NIEHS NIH HHS

MeSH Term

Humans
Housing
Residence Characteristics
Spatial Analysis
Regression Analysis
Environment

Word Cloud

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