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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...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2023
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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 |
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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 |
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