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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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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
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author Formanack, Allison
Doshi, Ayush
Valdez, Rupa
Williams, Ishan
Moorman, J. Randall
Chernyavskiy, Pavel
author_facet Formanack, Allison
Doshi, Ayush
Valdez, Rupa
Williams, Ishan
Moorman, J. Randall
Chernyavskiy, Pavel
author_sort Formanack, Allison
collection PubMed
description 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.
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spelling pubmed-100424022023-03-28 Race, Class, and Place Modify Mortality Rates for the Leading Causes of Death in the United States, 1999–2021 Formanack, Allison Doshi, Ayush Valdez, Rupa Williams, Ishan Moorman, J. Randall Chernyavskiy, Pavel J Gen Intern Med Original Research 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. Springer International Publishing 2023-03-27 2023-09 /pmc/articles/PMC10042402/ /pubmed/36973572 http://dx.doi.org/10.1007/s11606-023-08062-1 Text en © The Author(s), under exclusive licence to Society of General Internal Medicine 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
spellingShingle Original Research
Formanack, Allison
Doshi, Ayush
Valdez, Rupa
Williams, Ishan
Moorman, J. Randall
Chernyavskiy, Pavel
Race, Class, and Place Modify Mortality Rates for the Leading Causes of Death in the United States, 1999–2021
title Race, Class, and Place Modify Mortality Rates for the Leading Causes of Death in the United States, 1999–2021
title_full Race, Class, and Place Modify Mortality Rates for the Leading Causes of Death in the United States, 1999–2021
title_fullStr Race, Class, and Place Modify Mortality Rates for the Leading Causes of Death in the United States, 1999–2021
title_full_unstemmed Race, Class, and Place Modify Mortality Rates for the Leading Causes of Death in the United States, 1999–2021
title_short Race, Class, and Place Modify Mortality Rates for the Leading Causes of Death in the United States, 1999–2021
title_sort race, class, and place modify mortality rates for the leading causes of death in the united states, 1999–2021
topic Original Research
url 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
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