Abstract

Introduction: Racial disparities exist in stroke and stroke outcomes. However, the fundamental cause for these disparities are not biological differences, but structural racism. Using the Home Owners’ Loan Corporation (HOLC) ‘redlining’ scores, as indicator of structural lending practices from middle of the last century, we hypothesize 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 factors, as measured by census tract level information (American Community Survey 2014-2018), were considered mediators in the causal association between historic redlining (measured in 1936) and stroke prevalence (measured in 2017) and were not controlled for in regression analysis. The functional form of the association was non-linear, so stroke prevalence within quartiles of the HRS were compared using linear regression instead of a continuous score. Results: Higher HRS, representing greater redlining, were associated with greater prevalence of stroke when comparing the highest to the lowest quartile of HRS (Figure). Census tracts in the highest quartile of HRS had 1.48% higher stroke prevalence compared to those in the lowest quartile (95% CI: 0.23-2.74). 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. While ecologic, this study demonstrates the need to acknowledge that racism, not race, drive stroke disparities.

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