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Explaining ethnic disparities in COVID-19 mortality: population-based, prospective cohort study

Ethnic disparities in COVID-19 hospitalizations and mortality have been reported but there is scant understanding of how these inequalities are embodied. The UK Biobank prospective cohort study comprises around half a million people who were aged 40–69 years at study induction between 2006 and 2010...

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Autores principales: Batty, G. David, Gaye, Bamba, Gale, Catharine R, Hamer, Mark, Lassale, Camille
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7872390/
https://www.ncbi.nlm.nih.gov/pubmed/33564795
http://dx.doi.org/10.1101/2021.02.07.21251079
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author Batty, G. David
Gaye, Bamba
Gale, Catharine R
Hamer, Mark
Lassale, Camille
author_facet Batty, G. David
Gaye, Bamba
Gale, Catharine R
Hamer, Mark
Lassale, Camille
author_sort Batty, G. David
collection PubMed
description Ethnic disparities in COVID-19 hospitalizations and mortality have been reported but there is scant understanding of how these inequalities are embodied. The UK Biobank prospective cohort study comprises around half a million people who were aged 40–69 years at study induction between 2006 and 2010 when information on ethnic background and potential explanatory factors was captured. Study members were linked to a national mortality registry. In an analytical sample of 448,664 individuals (248,820 women), 354 deaths were ascribed to COVID-19 between 5(th) March and the end of follow-up on 17(th) September 2020. In age- and sex-adjusted analyses, relative to White participants, Black study members experienced around seven times the risk of COVID-19 mortality (odds ratio; 95% confidence interval: 7.25; 4.65, 11.33), while there was a doubling in the Asian group (1.98; 1.02, 3.84). Controlling for baseline comorbidities, socioeconomic circumstances, and lifestyle factors explained 53% of the differential in risk for Asian people (1.37; 0.68, 2.77) and 27% in Black study members (4.28; 2.67, 6.86). The residual risk in ethnic minority groups for COVID-19 deaths may be ascribed to unknown genetic factors or unmeasured phenotypes, most obviously racial discrimination.
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spelling pubmed-78723902021-02-10 Explaining ethnic disparities in COVID-19 mortality: population-based, prospective cohort study Batty, G. David Gaye, Bamba Gale, Catharine R Hamer, Mark Lassale, Camille medRxiv Article Ethnic disparities in COVID-19 hospitalizations and mortality have been reported but there is scant understanding of how these inequalities are embodied. The UK Biobank prospective cohort study comprises around half a million people who were aged 40–69 years at study induction between 2006 and 2010 when information on ethnic background and potential explanatory factors was captured. Study members were linked to a national mortality registry. In an analytical sample of 448,664 individuals (248,820 women), 354 deaths were ascribed to COVID-19 between 5(th) March and the end of follow-up on 17(th) September 2020. In age- and sex-adjusted analyses, relative to White participants, Black study members experienced around seven times the risk of COVID-19 mortality (odds ratio; 95% confidence interval: 7.25; 4.65, 11.33), while there was a doubling in the Asian group (1.98; 1.02, 3.84). Controlling for baseline comorbidities, socioeconomic circumstances, and lifestyle factors explained 53% of the differential in risk for Asian people (1.37; 0.68, 2.77) and 27% in Black study members (4.28; 2.67, 6.86). The residual risk in ethnic minority groups for COVID-19 deaths may be ascribed to unknown genetic factors or unmeasured phenotypes, most obviously racial discrimination. Cold Spring Harbor Laboratory 2021-02-10 /pmc/articles/PMC7872390/ /pubmed/33564795 http://dx.doi.org/10.1101/2021.02.07.21251079 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator.
spellingShingle Article
Batty, G. David
Gaye, Bamba
Gale, Catharine R
Hamer, Mark
Lassale, Camille
Explaining ethnic disparities in COVID-19 mortality: population-based, prospective cohort study
title Explaining ethnic disparities in COVID-19 mortality: population-based, prospective cohort study
title_full Explaining ethnic disparities in COVID-19 mortality: population-based, prospective cohort study
title_fullStr Explaining ethnic disparities in COVID-19 mortality: population-based, prospective cohort study
title_full_unstemmed Explaining ethnic disparities in COVID-19 mortality: population-based, prospective cohort study
title_short Explaining ethnic disparities in COVID-19 mortality: population-based, prospective cohort study
title_sort explaining ethnic disparities in covid-19 mortality: population-based, prospective cohort study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7872390/
https://www.ncbi.nlm.nih.gov/pubmed/33564795
http://dx.doi.org/10.1101/2021.02.07.21251079
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