Cargando…

Socioeconomic inequalities of Long COVID: a retrospective population-based cohort study in the United Kingdom

OBJECTIVES: To estimate the risk of Long COVID by socioeconomic deprivation and to further examine the inequality by sex and occupation. DESIGN: We conducted a retrospective population-based cohort study using data from the ONS COVID-19 Infection Survey between 26 April 2020 and 31 January 2022. Thi...

Descripción completa

Detalles Bibliográficos
Autores principales: Shabnam, Sharmin, Razieh, Cameron, Dambha-Miller, Hajira, Yates, Tom, Gillies, Clare, Chudasama, Yogini V, Pareek, Manish, Banerjee, Amitava, Kawachi, Ichiro, Lacey, Ben, Morris, Eva JA, White, Martin, Zaccardi, Francesco, Khunti, Kamlesh, Islam, Nazrul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10469969/
https://www.ncbi.nlm.nih.gov/pubmed/37164035
http://dx.doi.org/10.1177/01410768231168377
_version_ 1785099566734901248
author Shabnam, Sharmin
Razieh, Cameron
Dambha-Miller, Hajira
Yates, Tom
Gillies, Clare
Chudasama, Yogini V
Pareek, Manish
Banerjee, Amitava
Kawachi, Ichiro
Lacey, Ben
Morris, Eva JA
White, Martin
Zaccardi, Francesco
Khunti, Kamlesh
Islam, Nazrul
author_facet Shabnam, Sharmin
Razieh, Cameron
Dambha-Miller, Hajira
Yates, Tom
Gillies, Clare
Chudasama, Yogini V
Pareek, Manish
Banerjee, Amitava
Kawachi, Ichiro
Lacey, Ben
Morris, Eva JA
White, Martin
Zaccardi, Francesco
Khunti, Kamlesh
Islam, Nazrul
author_sort Shabnam, Sharmin
collection PubMed
description OBJECTIVES: To estimate the risk of Long COVID by socioeconomic deprivation and to further examine the inequality by sex and occupation. DESIGN: We conducted a retrospective population-based cohort study using data from the ONS COVID-19 Infection Survey between 26 April 2020 and 31 January 2022. This is the largest nationally representative survey of COVID-19 in the UK with longitudinal data on occupation, COVID-19 exposure and Long COVID. SETTING: Community-based survey in the UK. PARTICIPANTS: A total of 201,799 participants aged 16 to 64 years and with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. MAIN OUTCOME MEASURES: The risk of Long COVID at least 4 weeks after SARS-CoV-2 infection by index of multiple deprivation (IMD) and the modifying effects of socioeconomic deprivation by sex and occupation. RESULTS: Nearly 10% (n = 19,315) of participants reported having Long COVID. Multivariable logistic regression models, adjusted for a range of variables (demographic, co-morbidity and time), showed that participants in the most deprived decile had a higher risk of Long COVID (11.4% vs. 8.2%; adjusted odds ratio (aOR): 1.46; 95% confidence interval (CI): 1.34, 1.59) compared to the least deprived decile. Significantly higher inequalities (most vs. least deprived decile) in Long COVID existed in healthcare and patient-facing roles (aOR: 1.76; 95% CI: 1.27, 2.44), in the education sector (aOR: 1.68; 95% CI: 1.31, 2.16) and in women (aOR: 1.56; 95% CI: 1.40, 1.73) than men (aOR: 1.32; 95% CI: 1.15, 1.51). CONCLUSIONS: This study provides insights into the heterogeneous degree of inequality in Long COVID by deprivation, sex and occupation. These findings will help inform public health policies and interventions in incorporating a social justice and health inequality lens.
format Online
Article
Text
id pubmed-10469969
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher SAGE Publications
record_format MEDLINE/PubMed
spelling pubmed-104699692023-09-01 Socioeconomic inequalities of Long COVID: a retrospective population-based cohort study in the United Kingdom Shabnam, Sharmin Razieh, Cameron Dambha-Miller, Hajira Yates, Tom Gillies, Clare Chudasama, Yogini V Pareek, Manish Banerjee, Amitava Kawachi, Ichiro Lacey, Ben Morris, Eva JA White, Martin Zaccardi, Francesco Khunti, Kamlesh Islam, Nazrul J R Soc Med Research OBJECTIVES: To estimate the risk of Long COVID by socioeconomic deprivation and to further examine the inequality by sex and occupation. DESIGN: We conducted a retrospective population-based cohort study using data from the ONS COVID-19 Infection Survey between 26 April 2020 and 31 January 2022. This is the largest nationally representative survey of COVID-19 in the UK with longitudinal data on occupation, COVID-19 exposure and Long COVID. SETTING: Community-based survey in the UK. PARTICIPANTS: A total of 201,799 participants aged 16 to 64 years and with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. MAIN OUTCOME MEASURES: The risk of Long COVID at least 4 weeks after SARS-CoV-2 infection by index of multiple deprivation (IMD) and the modifying effects of socioeconomic deprivation by sex and occupation. RESULTS: Nearly 10% (n = 19,315) of participants reported having Long COVID. Multivariable logistic regression models, adjusted for a range of variables (demographic, co-morbidity and time), showed that participants in the most deprived decile had a higher risk of Long COVID (11.4% vs. 8.2%; adjusted odds ratio (aOR): 1.46; 95% confidence interval (CI): 1.34, 1.59) compared to the least deprived decile. Significantly higher inequalities (most vs. least deprived decile) in Long COVID existed in healthcare and patient-facing roles (aOR: 1.76; 95% CI: 1.27, 2.44), in the education sector (aOR: 1.68; 95% CI: 1.31, 2.16) and in women (aOR: 1.56; 95% CI: 1.40, 1.73) than men (aOR: 1.32; 95% CI: 1.15, 1.51). CONCLUSIONS: This study provides insights into the heterogeneous degree of inequality in Long COVID by deprivation, sex and occupation. These findings will help inform public health policies and interventions in incorporating a social justice and health inequality lens. SAGE Publications 2023-05-10 2023-08 /pmc/articles/PMC10469969/ /pubmed/37164035 http://dx.doi.org/10.1177/01410768231168377 Text en © The Royal Society of Medicine https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Research
Shabnam, Sharmin
Razieh, Cameron
Dambha-Miller, Hajira
Yates, Tom
Gillies, Clare
Chudasama, Yogini V
Pareek, Manish
Banerjee, Amitava
Kawachi, Ichiro
Lacey, Ben
Morris, Eva JA
White, Martin
Zaccardi, Francesco
Khunti, Kamlesh
Islam, Nazrul
Socioeconomic inequalities of Long COVID: a retrospective population-based cohort study in the United Kingdom
title Socioeconomic inequalities of Long COVID: a retrospective population-based cohort study in the United Kingdom
title_full Socioeconomic inequalities of Long COVID: a retrospective population-based cohort study in the United Kingdom
title_fullStr Socioeconomic inequalities of Long COVID: a retrospective population-based cohort study in the United Kingdom
title_full_unstemmed Socioeconomic inequalities of Long COVID: a retrospective population-based cohort study in the United Kingdom
title_short Socioeconomic inequalities of Long COVID: a retrospective population-based cohort study in the United Kingdom
title_sort socioeconomic inequalities of long covid: a retrospective population-based cohort study in the united kingdom
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10469969/
https://www.ncbi.nlm.nih.gov/pubmed/37164035
http://dx.doi.org/10.1177/01410768231168377
work_keys_str_mv AT shabnamsharmin socioeconomicinequalitiesoflongcovidaretrospectivepopulationbasedcohortstudyintheunitedkingdom
AT raziehcameron socioeconomicinequalitiesoflongcovidaretrospectivepopulationbasedcohortstudyintheunitedkingdom
AT dambhamillerhajira socioeconomicinequalitiesoflongcovidaretrospectivepopulationbasedcohortstudyintheunitedkingdom
AT yatestom socioeconomicinequalitiesoflongcovidaretrospectivepopulationbasedcohortstudyintheunitedkingdom
AT gilliesclare socioeconomicinequalitiesoflongcovidaretrospectivepopulationbasedcohortstudyintheunitedkingdom
AT chudasamayoginiv socioeconomicinequalitiesoflongcovidaretrospectivepopulationbasedcohortstudyintheunitedkingdom
AT pareekmanish socioeconomicinequalitiesoflongcovidaretrospectivepopulationbasedcohortstudyintheunitedkingdom
AT banerjeeamitava socioeconomicinequalitiesoflongcovidaretrospectivepopulationbasedcohortstudyintheunitedkingdom
AT kawachiichiro socioeconomicinequalitiesoflongcovidaretrospectivepopulationbasedcohortstudyintheunitedkingdom
AT laceyben socioeconomicinequalitiesoflongcovidaretrospectivepopulationbasedcohortstudyintheunitedkingdom
AT morrisevaja socioeconomicinequalitiesoflongcovidaretrospectivepopulationbasedcohortstudyintheunitedkingdom
AT whitemartin socioeconomicinequalitiesoflongcovidaretrospectivepopulationbasedcohortstudyintheunitedkingdom
AT zaccardifrancesco socioeconomicinequalitiesoflongcovidaretrospectivepopulationbasedcohortstudyintheunitedkingdom
AT khuntikamlesh socioeconomicinequalitiesoflongcovidaretrospectivepopulationbasedcohortstudyintheunitedkingdom
AT islamnazrul socioeconomicinequalitiesoflongcovidaretrospectivepopulationbasedcohortstudyintheunitedkingdom