Key result
Higher Black and Hispanic census tract representation linked to increased cardiometabolic disease, mediated by socioeconomic factors.
Why the study?
This study examined how racial and spatial inequalities shape cardiometabolic health outcomes in Greenville County, South Carolina.
Cross-Sectional (n=528,251)
Structural inequities in education and income significantly mediate the relationship between neighborhood racial composition and cardiometabolic health disparities, highlighting the need for equitable urban policy.
Answers are grounded in this paper and cite their sources.
Socioeconomic targets may warrant policy focus to narrow racial cardiometabolic gaps; leaves open causal effects for prospective trials.
Using legal epidemiological and social determinants of health frameworks, this study examines how racial and spatial inequalities shape cardiometabolic health outcomes in Greenville County, South Carolina. We used Census tract–level data from the CDC PLACES project, and the U.S. Census Bureau to assess associations between racial/ethnic composition and cardiometabolic indicators, including coronary heart disease, hypertension, and obesity. Our regression-based mediation analysis examined whether socioeconomic factors (household income and education attainment) explained these associations. Tracts with greater Black and Hispanic/Latino populations had much higher cardiometabolic disease and risk factor rates. These inequities were partly mediated by lower educational attainment and income, emphasizing the role socioeconomic inequality plays in emergence of racial and spatial disparities of health outcomes in these communities. The results demonstrate the way structural inequities ingrained in land-use policy, education opportunities, and neighborhood characteristics contribute to racial inequities for the health of our communities. Policies that expand access to education and economic opportunities, ensure fair land use, and promote equitable urban and regional planning are critical for reducing health inequity in rapidly growing medium sized regions in the U.S.
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Owolabi et al. (2026) conducted a cross-sectional in Cardiometabolic health (coronary heart disease, hypertension, obesity) (n=528,251). Majority-Black or Hispanic neighborhood composition vs. Majority-White neighborhood composition was evaluated on Coronary heart disease (CHD) prevalence. Census tracts with greater Black and Hispanic/Latino populations had higher rates of cardiometabolic disease, an inequity that was significantly mediated by lower educational attainment and household income.
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