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Associations between historical redlining and birth outcomes from 2006 through 2015 in California

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  • Anthony L Nardone
  • Joan A Casey
  • Kara E Rudolph
  • Deborah Karasek
  • Mahasin Mujahid
  • Rachel Morello-Frosch

Abstract

Background: Despite being one of the wealthiest nations, disparities in adverse birth outcomes persist across racial and ethnic lines in the United States. We studied the association between historical redlining and preterm birth, low birth weight (LBW), small-for-gestational age (SGA), and perinatal mortality over a ten-year period (2006–2015) in Los Angeles, Oakland, and San Francisco, California. Methods: We used birth outcomes data from the California Office of Statewide Health Planning and Development between January 1, 2006 and December 31, 2015. Home Owners’ Loan Corporation (HOLC) Security Maps developed in the 1930s assigned neighborhoods one of four grades that pertained to perceived investment risk of borrowers from that neighborhood: green (grade A) were considered “Best”, blue (grade B) “Still Desirable”, yellow (grade C) “Definitely Declining”, and red (grade D, hence the term “redlining”) “Hazardous”. Geocoded residential addresses at the time of birth were superimposed on HOLC Security Maps to assign each birth a HOLC grade. We adjusted for potential confounders present at the time of Security Map creation by assigning HOLC polygons areal-weighted 1940s Census measures. We then employed propensity score matching methods to estimate the association of historical HOLC grades on current birth outcomes. Because tracts graded A had almost no propensity of receiving grade C or D and because grade B tracts had low propensity of receiving grade D, we examined birth outcomes in the three following comparisons: B vs. A, C vs. B, and D vs. C. Results: The prevalence of preterm birth, SGA and mortality tended to be higher in worse HOLC grades, while the prevalence of LBW varied across grades. Overall odds of mortality and preterm birth increased as HOLC grade worsened. Propensity score matching balanced 1940s census measures across contrasting groups. Logistic regression models revealed significantly elevated odds of preterm birth (odds ratio (OR): 1.02, 95% confidence interval (CI): 1.00–1.05), and SGA (OR: 1.03, 95% CI: 1.00–1.05) in the C vs. B comparison and significantly reduced odds of preterm birth (OR: 0.93, 95% CI: 0.91–0.95), LBW (OR: 0.94–95% CI: 0.92–0.97), and SGA (OR: 0.94, 95% CI: 0.92–0.96) in the D vs. C comparison. Results differed by metropolitan area and maternal race. Conclusion: Similar to prior studies on redlining, we found that worsening HOLC grade was associated with adverse birth outcomes, although this relationship was less clear after propensity score matching and stratifying by metropolitan area. Higher odds of preterm birth and SGA in grade C versus grade B neighborhoods may be caused by higher-stress environments, racial segregation, and lack of access to resources, while lower odds of preterm birth, SGA, and LBW in grade D versus grade C neighborhoods may due to population shifts in those neighborhoods related to gentrification.

Suggested Citation

  • Anthony L Nardone & Joan A Casey & Kara E Rudolph & Deborah Karasek & Mahasin Mujahid & Rachel Morello-Frosch, 2020. "Associations between historical redlining and birth outcomes from 2006 through 2015 in California," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-18, August.
  • Handle: RePEc:plo:pone00:0237241
    DOI: 10.1371/journal.pone.0237241
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    References listed on IDEAS

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    1. Mehra, Renee & Boyd, Lisa M. & Ickovics, Jeannette R., 2017. "Racial residential segregation and adverse birth outcomes: A systematic review and meta-analysis," Social Science & Medicine, Elsevier, vol. 191(C), pages 237-250.
    2. Namrata Bhatia & Shin Margaret Chao & Chandra Higgins & Suvas Patel & Catherine M. Crespi, 2015. "Association of Mothers’ Perception of Neighborhood Quality and Maternal Resilience with Risk of Preterm Birth," IJERPH, MDPI, vol. 12(8), pages 1-17, August.
    3. Namin, S. & Xu, W. & Zhou, Y. & Beyer, K., 2020. "The legacy of the Home Owners’ Loan Corporation and the political ecology of urban trees and air pollution in the United States," Social Science & Medicine, Elsevier, vol. 246(C).
    4. Ho, Daniel & Imai, Kosuke & King, Gary & Stuart, Elizabeth A., 2011. "MatchIt: Nonparametric Preprocessing for Parametric Causal Inference," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 42(i08).
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    1. Riley, Taylor & Schleimer, Julia P. & Jahn, Jaquelyn L., 2024. "Organized abandonment under racial capitalism: Measuring accountable actors of structural racism for public health research and action," Social Science & Medicine, Elsevier, vol. 343(C).

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