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

被引:14
作者
Hicks, Patrice M. [1 ]
Woodward, Maria A. [1 ,2 ]
Niziol, Leslie M. [1 ]
Lu, Ming-Chen [1 ]
Kang, Linda [1 ]
Stagg, Brian C. [3 ,4 ]
Jakpor, Otana [1 ]
Elam, Angela R. [1 ]
Newman-Casey, Paula Anne [1 ,2 ,5 ]
机构
[1] Univ Michigan, Dept Ophthalmol & Visual Sci, Ann Arbor, MI USA
[2] Univ Michigan, Inst Healthcare Policy & Innovat, Ann Arbor, MI USA
[3] Univ Utah, Moran Eye Ctr, Salt Lake City, UT USA
[4] Univ Utah, Dept Populat Hlth Sci, Salt Lake City, UT USA
[5] Kellogg Eye Ctr, 1000 Wall St, Ann Arbor, MI 48105 USA
基金
美国国家卫生研究院;
关键词
Redlining; Health equity; Visual impairment; Social determinants of health; Neighborhood health; EYE;
D O I
10.1016/j.ophtha.2022.12.005
中图分类号
R77 [眼科学];
学科分类号
100212 ;
摘要
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 as-sociation 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 de-livery to mitigate health disparities.
引用
收藏
页码:404 / 412
页数:9
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