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Race, Class, and Place Modify Mortality Rates for the Leading Causes of Death in the United States, 1999–2021

BACKGROUND: Race and ethnicity, socioeconomic class, and geographic location are well-known social determinants of health in the US. Studies of population mortality often consider two, but not all three of these risk factors. OBJECTIVES: To disarticulate the associations of race (whiteness), class (...

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Detalles Bibliográficos
Autores principales: Formanack, Allison, Doshi, Ayush, Valdez, Rupa, Williams, Ishan, Moorman, J. Randall, Chernyavskiy, Pavel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10042402/
https://www.ncbi.nlm.nih.gov/pubmed/36973572
http://dx.doi.org/10.1007/s11606-023-08062-1
Descripción
Sumario:BACKGROUND: Race and ethnicity, socioeconomic class, and geographic location are well-known social determinants of health in the US. Studies of population mortality often consider two, but not all three of these risk factors. OBJECTIVES: To disarticulate the associations of race (whiteness), class (socioeconomic status), and place (county) with risk of cause-specific death in the US. DESIGN: We conducted a retrospective analysis of death certificate data. Bayesian regression models, adjusted for age and race/ethnicity from the American Community Survey and the county Area Deprivation Index, were used for inference. MAIN MEASURES: County-level mortality for 11 leading causes of death (1999–2019) and COVID-19 (2020–2021). KEY RESULTS: County “whiteness” and socioeconomic status modified death rates; geospatial effects differed by cause of death. Other factors equal, a 20% increase in county whiteness was associated with 5–8% increase in death from three causes and 4–15% reduction in death from others, including COVID-19. Other factors equal, advantaged counties had significantly lower death rates, even when juxtaposed with disadvantaged ones. Patterns of residual risk, measured by spatial county effects, varied by cause of death; for example: cancer and heart disease death rates were better explained by age, socioeconomic status, and county whiteness than were COVID-19 and suicide deaths. CONCLUSIONS: There are important independent contributions from race, class, and geography to risk of death in the US. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11606-023-08062-1.