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COVID-19 Infection in the Veterans Health Administration: Gender-specific Racial and Ethnic Differences

PURPOSE: Racial/ethnic minoritized groups, women, and economically disadvantaged groups are disproportionately affected by the COVID-19 pandemic. We investigated racial/ethnic differences by gender in correlates of COVID-19 infection among veterans seeking health care services at the Veterans Health...

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Autores principales: Upchurch, Dawn M., Wong, Michelle S., Yuan, Anita H., Haderlein, Taona P., McClendon, Juliette, Christy, Alicia, Washington, Donna L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Jacobs Institute of Women's Health, George Washington University. Published by Elsevier Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8486675/
https://www.ncbi.nlm.nih.gov/pubmed/34702652
http://dx.doi.org/10.1016/j.whi.2021.09.006
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author Upchurch, Dawn M.
Wong, Michelle S.
Yuan, Anita H.
Haderlein, Taona P.
McClendon, Juliette
Christy, Alicia
Washington, Donna L.
author_facet Upchurch, Dawn M.
Wong, Michelle S.
Yuan, Anita H.
Haderlein, Taona P.
McClendon, Juliette
Christy, Alicia
Washington, Donna L.
author_sort Upchurch, Dawn M.
collection PubMed
description PURPOSE: Racial/ethnic minoritized groups, women, and economically disadvantaged groups are disproportionately affected by the COVID-19 pandemic. We investigated racial/ethnic differences by gender in correlates of COVID-19 infection among veterans seeking health care services at the Veterans Health Administration. Little is known about gender-specific factors associated with infection among veterans. This study seeks to fill this gap. METHODS: The sample was veterans with results from a COVID-19 test (polymerase chain reaction) conducted at Veterans Health Administration facilities between March 1, 2020, and August 5, 2020, and linked to the Centers for Disease Control and Prevention Social Vulnerability Index data (39,223 women and 316,380 men). Bivariate, multivariate logistic, and predicted probability analyses were conducted. All analyses were stratified by gender. RESULTS: Similar percentages of women and men tested positive for COVID-19 (9.6% vs. 10.0%). In multivariate analysis, compared with non-Hispanic White women, American Indian/Alaska Native, Black, and Hispanic women all had significantly higher odds of infection. Similar racial/ethnic differences were found for men. Both older men and women (>40 years) had lower odds of infection, but the age cut points differed (40 for women, 55 for men). Men 80 years and older had a higher odds than those aged less than 40 years of age. For men, but not for women, being employed (vs. unemployed) was associated with an increased odds of infection, and having comorbidities was associated with decreased odds. There were significant differences within and across gender-by-race/ethnicity in infection, after adjusting for covariates. CONCLUSIONS: American Indian/Alaska Native, Hispanic, and Black women and men veterans are disproportionately impacted by COVID-19 infection. Widespread testing and tracking, education, and outreach regarding COVID-19 mitigation and vaccination efforts are recommended.
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spelling pubmed-84866752021-10-04 COVID-19 Infection in the Veterans Health Administration: Gender-specific Racial and Ethnic Differences Upchurch, Dawn M. Wong, Michelle S. Yuan, Anita H. Haderlein, Taona P. McClendon, Juliette Christy, Alicia Washington, Donna L. Womens Health Issues Covid-19 PURPOSE: Racial/ethnic minoritized groups, women, and economically disadvantaged groups are disproportionately affected by the COVID-19 pandemic. We investigated racial/ethnic differences by gender in correlates of COVID-19 infection among veterans seeking health care services at the Veterans Health Administration. Little is known about gender-specific factors associated with infection among veterans. This study seeks to fill this gap. METHODS: The sample was veterans with results from a COVID-19 test (polymerase chain reaction) conducted at Veterans Health Administration facilities between March 1, 2020, and August 5, 2020, and linked to the Centers for Disease Control and Prevention Social Vulnerability Index data (39,223 women and 316,380 men). Bivariate, multivariate logistic, and predicted probability analyses were conducted. All analyses were stratified by gender. RESULTS: Similar percentages of women and men tested positive for COVID-19 (9.6% vs. 10.0%). In multivariate analysis, compared with non-Hispanic White women, American Indian/Alaska Native, Black, and Hispanic women all had significantly higher odds of infection. Similar racial/ethnic differences were found for men. Both older men and women (>40 years) had lower odds of infection, but the age cut points differed (40 for women, 55 for men). Men 80 years and older had a higher odds than those aged less than 40 years of age. For men, but not for women, being employed (vs. unemployed) was associated with an increased odds of infection, and having comorbidities was associated with decreased odds. There were significant differences within and across gender-by-race/ethnicity in infection, after adjusting for covariates. CONCLUSIONS: American Indian/Alaska Native, Hispanic, and Black women and men veterans are disproportionately impacted by COVID-19 infection. Widespread testing and tracking, education, and outreach regarding COVID-19 mitigation and vaccination efforts are recommended. Jacobs Institute of Women's Health, George Washington University. Published by Elsevier Inc. 2022 2021-10-02 /pmc/articles/PMC8486675/ /pubmed/34702652 http://dx.doi.org/10.1016/j.whi.2021.09.006 Text en © 2021 Jacobs Institute of Women's Health, George Washington University. Published by Elsevier Inc. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Covid-19
Upchurch, Dawn M.
Wong, Michelle S.
Yuan, Anita H.
Haderlein, Taona P.
McClendon, Juliette
Christy, Alicia
Washington, Donna L.
COVID-19 Infection in the Veterans Health Administration: Gender-specific Racial and Ethnic Differences
title COVID-19 Infection in the Veterans Health Administration: Gender-specific Racial and Ethnic Differences
title_full COVID-19 Infection in the Veterans Health Administration: Gender-specific Racial and Ethnic Differences
title_fullStr COVID-19 Infection in the Veterans Health Administration: Gender-specific Racial and Ethnic Differences
title_full_unstemmed COVID-19 Infection in the Veterans Health Administration: Gender-specific Racial and Ethnic Differences
title_short COVID-19 Infection in the Veterans Health Administration: Gender-specific Racial and Ethnic Differences
title_sort covid-19 infection in the veterans health administration: gender-specific racial and ethnic differences
topic Covid-19
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8486675/
https://www.ncbi.nlm.nih.gov/pubmed/34702652
http://dx.doi.org/10.1016/j.whi.2021.09.006
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