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Assessing the spatial heterogeneity in black-white differences in optimal cardiovascular health and the impact of individual- and neighborhood-level risk factors: The Multi-Ethnic Study of Atherosclerosis (MESA)
Journal article   Open access   Peer reviewed

Assessing the spatial heterogeneity in black-white differences in optimal cardiovascular health and the impact of individual- and neighborhood-level risk factors: The Multi-Ethnic Study of Atherosclerosis (MESA)

Loni Philip Tabb, Leslie A. McClure, Angel Ortiz, Steven Melly, Miranda R. Jones, Kiarri N. Kershaw and Ana V. Diez Roux
Spatial and spatio-temporal epidemiology, v 33, 100332
Jun 2020
PMID: 32370943
Featured in Collection :   UN Sustainable Development Goals @ Drexel
url
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7205896View
Accepted (AM)Open Access (License Unspecified) Open

Abstract

Cardiovascular health Disparities Spatial heterogeneity
•Cardiovascular health (CVH) is examined, which focuses on health behaviors and factors.•Spatial variation in CVH was explored using a unique, diverse population-based cohort study.•Black-white disparities in CVH vary within and across 5 US cities.•Blacks have decreased odds of optimal and overall cardiovascular health.•Individual- and neighborhood-level risk factors, both subjective and objective measures, reduced varying disparities. Racial disparities in cardiovascular health (CVH) continue to remain a public health concern in the United States. We use unique population-based data from the Multi-Ethnic Study of Atherosclerosis cohort to explore the black-white differences in optimal CVH. Utilizing geographically weighted regression methods, we assess the spatial heterogeneity in black-white differences in optimal CVH and the impact of both individual- and neighborhood-level risk factors. We found evidence of significant spatial heterogeneity in black-white differences that varied within and between the five sites. Initial models showed decreased odds of optimal CVH for blacks that ranged from 60% to 70% reduced odds – with noticeable variation of these decreased odds within each site. Adjusting for risk factors resulted in reductions in the black-white differences in optimal CVH. Further understanding of the reasons for spatial heterogeneities in black-white differences in nationally representative cohorts may provide important clues regarding the drivers of these differences.

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5 citations in Scopus

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UN Sustainable Development Goals (SDGs)

This publication has contributed to the advancement of the following goals:

#10 Reduced Inequalities
#3 Good Health and Well-Being

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Collaboration types
Domestic collaboration
Web of Science research areas
Public, Environmental & Occupational Health
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