Abstract

Background and Purpose. Residing in “disadvantaged” communities may increase morbidity and mortality independent of individual social resources and biological factors. This study evaluates the impact of population-level disadvantage on incident ischemic stroke likelihood in a multiethnic urban population. Methods. A population based case-control study was conducted in an ethnically diverse community of New York. First ischemic stroke cases and community controls were enrolled and a stroke risk assessment performed. Data regarding population level economic indicators for each census tract was assembled using geocoding. Census variables were also grouped together to define a broader measure of collective disadvantage. We evaluated the likelihood of stroke for population-level variables controlling for individual social (education, social isolation, and insurance) and vascular risk factors. Results. We age-, sex-, and race-ethnicity-matched 687 incident ischemic stroke cases to 1153 community controls. The mean age was 69 years: 60% women; 22% white, 28% black, and 50% Hispanic. After adjustment, the index of community level disadvantage (OR 2.0, 95% CI 1.7–2.1) was associated with increased stroke likelihood overall and among all three race-ethnic groups. Conclusion. Social inequalities measured by census tract data including indices of community disadvantage confer a significant likelihood of ischemic stroke independent of conventional risk factors.

Highlights

  • Stroke continues to burden health systems in all countries

  • We evaluated the likelihood of stroke for population-level variables controlling for individual social and vascular risk factors

  • Analyses were conducted on 687 first ischemic stroke cases and 1153 controls enrolled in the Northern Manhattan Stroke Study

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Summary

Introduction

Stroke continues to burden health systems in all countries. Much work has clarified key biological risk factors including hypertension, diabetes, and coronary artery disease as well as lifestyle factors including smoking, diet, and physical activity. A recent paper suggested that only 50% of the black-white stroke disparity is explained by biologic risk factors and measures of individual SES [3]. Area level SES may be an important contributor to stroke disparities including by race/ethnicity. In this analysis, we sought to investigate the association of population-level disadvantage. We evaluated the likelihood of stroke for population-level variables controlling for individual social (education, social isolation, and insurance) and vascular risk factors. We age-, sex-, and race-ethnicity-matched 687 incident ischemic stroke cases to 1153 community controls. Social inequalities measured by census tract data including indices of community disadvantage confer a significant likelihood of ischemic stroke independent of conventional risk factors

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