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Race, ethnicity, poverty and the social determinants of the coronavirus divide: U.S. county-level disparities and risk factors
BACKGROUND: Communities with more Black or Hispanic residents have higher coronavirus rates than communities with more White residents, but relevant community characteristics are underexplored. The purpose of this study was to investigate poverty-, race- and ethnic-based disparities and associated e...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8240081/ https://www.ncbi.nlm.nih.gov/pubmed/34187414 http://dx.doi.org/10.1186/s12889-021-11205-w |
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author | Samuel, Laura J. Gaskin, Darrell J. Trujillo, Antonio, J. Szanton, Sarah L. Samuel, Andrew Slade, Eric |
author_facet | Samuel, Laura J. Gaskin, Darrell J. Trujillo, Antonio, J. Szanton, Sarah L. Samuel, Andrew Slade, Eric |
author_sort | Samuel, Laura J. |
collection | PubMed |
description | BACKGROUND: Communities with more Black or Hispanic residents have higher coronavirus rates than communities with more White residents, but relevant community characteristics are underexplored. The purpose of this study was to investigate poverty-, race- and ethnic-based disparities and associated economic, housing, transit, population health and health care characteristics. METHODS: Six-month cumulative coronavirus incidence and mortality were examined using adjusted negative binomial models among all U.S. counties (n = 3142). County-level independent variables included percentages in poverty and within racial/ethnic groups (Black, Hispanic, Native American, Asian), and rates of unemployment, lacking a high school diploma, housing cost burden, single parent households, limited English proficiency, diabetes, obesity, smoking, uninsured, preventable hospitalizations, primary care physicians, hospitals, ICU beds and households that were crowded, in multi-unit buildings or without a vehicle. RESULTS: Counties with higher percentages of Black (IRR = 1.03, 95% CI: 1.02–1.03) or Hispanic (IRR = 1.02, 95% CI: 1.01–1.03) residents had more coronavirus cases. Counties with higher percentages of Black (IRR = 1.02, 95% CI: 1.02–1.03) or Native American (IRR = 1.02, 95% CI: 1.01–1.04) residents had more deaths. Higher rates of lacking a high school diploma was associated with higher counts of cases (IRR = 1.03, 95% CI: 1.01–1.05) and deaths (IRR = 1.04, 95% CI: 1.01–1.07). Higher percentages of multi-unit households were associated with higher (IRR = 1.02, 95% CI: 1.01–1.04) and unemployment with lower (IRR = 0.96, 95% CI: 0.94–0.98) incidence. Higher percentages of individuals with limited English proficiency (IRR = 1.09, 95% CI: 1.04–1.14) and households without a vehicle (IRR = 1.04, 95% CI: 1.01–1.07) were associated with more deaths. CONCLUSIONS: These results document differential pandemic impact in counties with more residents who are Black, Hispanic or Native American, highlighting the roles of residential racial segregation and other forms of discrimination. Factors including economic opportunities, occupational risk, public transit and housing conditions should be addressed in pandemic-related public health strategies to mitigate disparities across counties for the current pandemic and future population health events. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-021-11205-w. |
format | Online Article Text |
id | pubmed-8240081 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-82400812021-06-29 Race, ethnicity, poverty and the social determinants of the coronavirus divide: U.S. county-level disparities and risk factors Samuel, Laura J. Gaskin, Darrell J. Trujillo, Antonio, J. Szanton, Sarah L. Samuel, Andrew Slade, Eric BMC Public Health Research Article BACKGROUND: Communities with more Black or Hispanic residents have higher coronavirus rates than communities with more White residents, but relevant community characteristics are underexplored. The purpose of this study was to investigate poverty-, race- and ethnic-based disparities and associated economic, housing, transit, population health and health care characteristics. METHODS: Six-month cumulative coronavirus incidence and mortality were examined using adjusted negative binomial models among all U.S. counties (n = 3142). County-level independent variables included percentages in poverty and within racial/ethnic groups (Black, Hispanic, Native American, Asian), and rates of unemployment, lacking a high school diploma, housing cost burden, single parent households, limited English proficiency, diabetes, obesity, smoking, uninsured, preventable hospitalizations, primary care physicians, hospitals, ICU beds and households that were crowded, in multi-unit buildings or without a vehicle. RESULTS: Counties with higher percentages of Black (IRR = 1.03, 95% CI: 1.02–1.03) or Hispanic (IRR = 1.02, 95% CI: 1.01–1.03) residents had more coronavirus cases. Counties with higher percentages of Black (IRR = 1.02, 95% CI: 1.02–1.03) or Native American (IRR = 1.02, 95% CI: 1.01–1.04) residents had more deaths. Higher rates of lacking a high school diploma was associated with higher counts of cases (IRR = 1.03, 95% CI: 1.01–1.05) and deaths (IRR = 1.04, 95% CI: 1.01–1.07). Higher percentages of multi-unit households were associated with higher (IRR = 1.02, 95% CI: 1.01–1.04) and unemployment with lower (IRR = 0.96, 95% CI: 0.94–0.98) incidence. Higher percentages of individuals with limited English proficiency (IRR = 1.09, 95% CI: 1.04–1.14) and households without a vehicle (IRR = 1.04, 95% CI: 1.01–1.07) were associated with more deaths. CONCLUSIONS: These results document differential pandemic impact in counties with more residents who are Black, Hispanic or Native American, highlighting the roles of residential racial segregation and other forms of discrimination. Factors including economic opportunities, occupational risk, public transit and housing conditions should be addressed in pandemic-related public health strategies to mitigate disparities across counties for the current pandemic and future population health events. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-021-11205-w. BioMed Central 2021-06-29 /pmc/articles/PMC8240081/ /pubmed/34187414 http://dx.doi.org/10.1186/s12889-021-11205-w Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Samuel, Laura J. Gaskin, Darrell J. Trujillo, Antonio, J. Szanton, Sarah L. Samuel, Andrew Slade, Eric Race, ethnicity, poverty and the social determinants of the coronavirus divide: U.S. county-level disparities and risk factors |
title | Race, ethnicity, poverty and the social determinants of the coronavirus divide: U.S. county-level disparities and risk factors |
title_full | Race, ethnicity, poverty and the social determinants of the coronavirus divide: U.S. county-level disparities and risk factors |
title_fullStr | Race, ethnicity, poverty and the social determinants of the coronavirus divide: U.S. county-level disparities and risk factors |
title_full_unstemmed | Race, ethnicity, poverty and the social determinants of the coronavirus divide: U.S. county-level disparities and risk factors |
title_short | Race, ethnicity, poverty and the social determinants of the coronavirus divide: U.S. county-level disparities and risk factors |
title_sort | race, ethnicity, poverty and the social determinants of the coronavirus divide: u.s. county-level disparities and risk factors |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8240081/ https://www.ncbi.nlm.nih.gov/pubmed/34187414 http://dx.doi.org/10.1186/s12889-021-11205-w |
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