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. 2023 Apr;130(4):404-412.
doi: 10.1016/j.ophtha.2022.12.005. Epub 2022 Dec 13.

Seeing Red: Associations between Historical Redlining and Present-Day Visual Impairment and Blindness

Patrice M Hicks  1 , Maria A Woodward  2 , Leslie M Niziol  1 , Ming-Chen Lu  1 , Linda Kang  1 , Brian C Stagg  3 , Otana Jakpor  1 , Angela R Elam  1 , Paula Anne Newman-Casey  4
Affiliations

Seeing Red: Associations between Historical Redlining and Present-Day Visual Impairment and Blindness

Patrice M Hicks et al. Ophthalmology. 2023 Apr.

Abstract

Purpose: Redlining was a discriminatory housing policy in the United States that began in 1933 and denoted neighborhoods with high proportions of Black individuals as "undesirable" and a high risk for lending, which therefore excluded people from obtaining traditional insured mortgages to purchase a home. Simultaneously, realtors discouraged Black individuals from purchasing homes in predominantly non-Black neighborhoods. This resulted in decreased home ownership and wealth accumulation among Black individuals and neighborhoods with high proportions of Black individuals. This study investigated rates of visual impairment and blindness (VIB) in neighborhoods that at one time were graded for redlining.

Design: Secondary data analysis of American Community Survey data and historical grades for redlining.

Participants: United States census tracts (CTs) from 2010 with historical grades for redlining.

Methods: One-way analysis of variance, Kruskal-Wallis test, chi-square test, and logistic regression modeling.

Main outcome measures: The main outcome was CT percentage of residents reporting VIB and the association with historical grades for redlining. Grades were converted to numeric values (1 to 4, with higher values indicating worse grade) and aggregated over a CT based on the distribution of grades within to obtain a redlining score. Logistic regression was used to model the effect of redlining on the probability of having VIB.

Results: Eleven thousand six hundred sixty-eight CTs were analyzed. Logistic regression found that a 1-unit increase in average redlining score was associated with a 13.4% increased odds of VIB after controlling for CT measures of age, sex, people of color (any non-White race), state, and population size (odds ratio [OR], 1.134; 95% confidence interval [CI], 1.131-1.138; P < 0.001). Similar results were observed for an additional model that adjusted for the estimated percentage of Black residents within a CT (OR, 1.180; 95% CI, 1.177-1.183; P < 0.001).

Conclusions: Historical government-sanctioned residential segregation through redlining was found to be associated with higher proportions of people living with VIB in these neighborhoods today. Understanding how neighborhood segregation impacts eye health is important for planning improved mechanisms of eye care delivery to mitigate health disparities.

Financial disclosure(s): Proprietary or commercial disclosure may be found after the references.

Keywords: Health equity; Neighborhood health; Redlining; Social determinants of health; Visual impairment.

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Figures

Figure 1.
Figure 1.
Geographic Maps of (A) redlining scores and (B) vision impairment and blindness (VIB) in an example area of Detroit, Michigan by 2010 Census Tracts using Arc GIS Pro software (version 2.5). Q = quartile.
See this image and copyright information in PMC

References

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