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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).
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).
Citation | “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).”. Spatial And Spatio-Temporal Epidemiology, p. 100332. . |
Center | UCSD-UCLA |
Author | Loni Philip Tabb, Leslie A McClure, Angel Ortiz, Steven Melly, Miranda R Jones, Kiarri N Kershaw, Ana Diez Roux V |
Keywords | Cardiovascular health, Disparities, Spatial heterogeneity |
Abstract |
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. |
Year of Publication |
2020
|
Journal |
Spatial and spatio-temporal epidemiology
|
Volume |
33
|
Number of Pages |
100332
|
Date Published |
06/2020
|
ISSN Number |
1877-5853
|
DOI |
10.1016/j.sste.2020.100332
|
Alternate Journal |
Spat Spatiotemporal Epidemiol
|
PMID |
32370943
|
PMCID |
PMC7205896
|
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