ArticleSpatial and spatio-temporal epidemiology2022
Spatially varying racial inequities in cardiovascular health and the contribution of individual- and neighborhood-level characteristics across the United States: The REasons for geographic and racial differences in stroke (REGARDS) study.
Article in Spatial and spatio-temporal epidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Bayesian inference in racial health inequity analyses for noncommunicable diseases: a systematic review.Systematic reviews · 2025Pooled it
- Spatial indices quantifying exposure to swine farming in North Carolina.Frontiers in veterinary science · 2025Article
- Heterogeneity in disparities by income in cardiovascular risk factors across 209 US metropolitan areas.Preventive medicine reports · 2024Article
- Neighborhood Characteristics and Elevated Blood Pressure in Older Adults.JAMA network open · 2023Article
- Longitudinal profiles of neighborhood socioeconomic vulnerability influence blood pressure changes across the female midlife period.Health & place · 2023Article
- A Longitudinal Study of Acculturation in Context and Cardiovascular Health and Their Effects on Cognition Among Older Latino Adults.Journal of the American Heart Association · 2023Article
- Concepts, Characterizations, and Cautions: A Public Health Guide and Glossary for Planning Food Environment Measurement.The open public health journal · 2023Article
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Authors and funding
7 authors.
Funding
Abstract
Black-White inequities in cardiovascular health (CVH) pose a significant public health challenge, with these disparities also varying geographically across the US. There remains limited evidence of the impact of social determinants of health on these inequities. Using a national population-based cohort from the REasons for Geographic and Racial Differences in Stroke study, we assessed the spatial heterogeneity in Black-White differences in CVH and determined the extent to which individual- and neighborhood-level characteristics explain these inequities. We utilized a Bayesian hierarchical statistical framework to fit spatially varying coefficient models. Results showed overall and spatially varying inequities, where Black participants had significantly poorer CVH. The maps of the state level random effects also highlighted how inequities vary. The evidence produced in this study further highlights the importance of multilevel approaches - at the individual- and neighborhood-levels - that need to be in place to address these geographic and racial differences in CVH.
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