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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.
Afiliación
  • Shabnam S; Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, LE5 4PW, UK.
  • Razieh C; Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, LE5 4PW, UK.
  • Dambha-Miller H; Diabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester, LE5 4PW, UK.
  • Yates T; NIHR Leicester Biomedical Research Centre (BRC), University Hospitals of Leicester NHS Trust and University of Leicester, Leicester, LE5 4PW, UK.
  • Gillies C; Office for National Statistics, Newport, NP10 8XG, UK.
  • Chudasama YV; Primary Care Research Centre, Faculty of Medicine, University of Southampton, SO16 5ST, UK.
  • Pareek M; Diabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester, LE5 4PW, UK.
  • Banerjee A; NIHR Leicester Biomedical Research Centre (BRC), University Hospitals of Leicester NHS Trust and University of Leicester, Leicester, LE5 4PW, UK.
  • Kawachi I; Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, LE5 4PW, UK.
  • Lacey B; Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, LE5 4PW, UK.
  • Morris EJ; Department of Respiratory Sciences, University of Leicester, Leicester, LE1 9HN, UK.
  • White M; Institute of Health Informatics, University College London, London, NW1 2DA, UK.
  • Zaccardi F; Harvard TH Chan School of Public Health, Harvard University, Boston, MA 02115, USA.
  • Khunti K; Nuffield Department of Population Health, Big Data Institute, University of Oxford, Oxford, OX3 7LF, UK.
  • Islam N; Nuffield Department of Population Health, Big Data Institute, University of Oxford, Oxford, OX3 7LF, UK.
J R Soc Med ; 116(8): 263-273, 2023 08.
Article en En | MEDLINE | ID: mdl-37164035
ABSTRACT

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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Aspecto: Determinantes_sociais_saude / Equity_inequality / Patient_preference Límite: Female / Humans / Male País/Región como asunto: Europa Idioma: En Revista: J R Soc Med Año: 2023 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Aspecto: Determinantes_sociais_saude / Equity_inequality / Patient_preference Límite: Female / Humans / Male País/Región como asunto: Europa Idioma: En Revista: J R Soc Med Año: 2023 Tipo del documento: Article País de afiliación: Reino Unido
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