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Historic redlining in Columbus, Ohio associated with stroke prevalence
Jeffrey J Wing1, Emily E Lynch2, Sarah E Laurent3
1College of Public Health, Ohio State University, Columbus, Ohio, United States.
Insights
Historic redlining, a practice reflecting racial discrimination, is linked to higher stroke prevalence in Columbus, Ohio census tracts. Areas with more redlining showed increased stroke rates, highlighting structural racism's health impacts.
Area of Science:
- Public Health
- Health Disparities
- Urban Planning
Background:
- Racial disparities in stroke prevalence and outcomes are a significant public health concern.
- Historic racialized lending practices, indicated by Home Owners' Loan Corporation (HOLC) "redlining" scores, are examined as a potential determinant of these disparities.
- The study hypothesizes an association between census tracts with high historic redlining and elevated stroke prevalence.
Purpose of the Study:
- To investigate the association between historic redlining and current stroke prevalence at the census tract level in Columbus, Ohio.
- To explore the role of sociodemographic factors as potential mediators in this relationship.
- To quantify the difference in stroke prevalence between census tracts with varying degrees of historic redlining.
Main Methods:
- Weighted historic redlining scores (HRS) were calculated for Columbus, Ohio census tracts based on 1930s HOLC grades.
- Stroke prevalence data for adults (>=18) were obtained from the CDC's 500 Cities Project at the census tract level.
- Regression analyses were performed to evaluate the association between HRS and stroke prevalence, with and without adjustment for the proportion of residents aged 65 and older, considering sociodemographic data as potential mediators.
Main Results:
- Census tracts in the highest quartile of historic redlining scores exhibited a 1.73% higher stroke prevalence compared to those in the lowest quartile (95% CI: 0.41, 3.05), after adjusting for the elderly population proportion.
- No significant differences in stroke prevalence were observed between other interquartile ranges of historic redlining scores.
- Sociodemographic data were considered potential mediators but not controlled for in the primary regression analysis.
Conclusions:
- Historic redlining represents a form of structural racism that created geographically based disadvantages and contributed to adverse health outcomes.
- The findings demonstrate a clear disparity in stroke prevalence across Columbus, Ohio census tracts, directly correlated with the historical extent of redlining.
- This study underscores the long-term impact of discriminatory housing policies on present-day health inequities, specifically concerning stroke prevalence.
Background:
Racial disparities exist in stroke and stroke outcomes. In an ecologic study, using the Home Owners' Loan Corporation (HOLC) "redlining" scores, as indicator of historic racialized lending practices, we hypothesized that census tracts with high historic redlining are associated with higher stroke prevalence.
Methods:
Weighted historic redlining scores (HRS) were calculated using the proportion of 1930s HOLC residential security grades contained within 2010 census tract boundaries of Columbus, Ohio. Stroke prevalence (adults >=18) was obtained at the census tract-level from the CDC's 500 Cities Project. Sociodemographic census tract level data (American Community Survey 2014-2018) were considered mediators in the causal association between historic redlining and stroke prevalence and were not controlled for in regression analysis. HRS and stroke prevalence associations were evaluated with and without adjustment for proportion of census tract 65 years and older.
Results:
Census tracts in the highest quartile of HRS (greater redlining) had 1.73% higher stroke prevalence compared to those in the lowest quartile (95% CI:0.41,3.05) adjusting for proportion 65 years and older. No other interquartile differences were observed.
Conclusions:
Historic redlining practices are a form of structural racism that established geographic systems of disadvantage and consequently, poor health outcomes. Our findings demonstrate disparate stroke prevalence by degree of historic redlining in census tracts across Columbus, Ohio.
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