Psychological distress among people with probable COVID-19 infection: analysis of the UK Household Longitudinal Study

Niedzwiedz, C. , Benzeval, M., Hainey, K., Leyland, A. and Katikireddi, V. (2021) Psychological distress among people with probable COVID-19 infection: analysis of the UK Household Longitudinal Study. BJPsych Open, 7(3), e104. (doi: 10.1192/bjo.2021.63) (PMID:34001295) (PMCID:PMC8134894)

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Abstract

Studies exploring the longer-term effects of experiencing coronavirus disease-2019 (COVID-19) on mental health are lacking. We explored the relationship between reporting probable COVID-19 symptoms in April 2020 and psychological distress (measured using the General Health Questionnaire) 1, 2, 3, 5 and 7 months later. Data were taken from the UK Household Longitudinal Study, a nationally representative household panel survey of UK adults. Elevated levels of psychological distress were found up to 7 months after probable COVID-19, compared with participants with no likely infection. Associations were stronger among younger age groups and men. Further research into the psychological sequalae of COVID-19 is urgently needed.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Hainey, Dr Kirsten and Katikireddi, Professor Vittal and Benzeval, Dr Michaela and Niedzwiedz, Dr Claire and Leyland, Professor Alastair
Authors: Niedzwiedz, C., Benzeval, M., Hainey, K., Leyland, A., and Katikireddi, V.
College/School:College of Medical Veterinary and Life Sciences > School of Health & Wellbeing > General Practice and Primary Care
College of Medical Veterinary and Life Sciences > School of Health & Wellbeing > MRC/CSO SPHSU
Journal Name:BJPsych Open
Publisher:Cambridge University Press
ISSN:2056-4724
ISSN (Online):2056-4724
Published Online:18 May 2021
Copyright Holders:Copyright © The Author(s), 2021
First Published:First published in BJPsych Open 7(3): e104
Publisher Policy:Reproduced under a Creative Commons licence

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
Inequalities in healthMedical Research Council (MRC)MC_UU_00022/2HW - MRC/CSO Social and Public Health Sciences Unit
Chief Scientist Office (CSO)SPHSU13
302182A machine learning approach to understanding comorbidity between mental and physical health conditionsClaire NiedzwiedzMedical Research Council (MRC)MR/R024774/1HW - Public Health
172690Understanding the impacts of welfare policy on health: A novel data linkage studySrinivasa KatikireddiOffice of the Chief Scientific Adviser (CSO)SCAF/15/02HW - Public Health