Authors

Venexia m. Walker, Department of Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia
Praveetha Patalay, Centre for Longitudinal Studies, University College London, London, United Kingdom
Jose ignacio Cuitun coronado, Population Health Sciences, University of Bristol, Bristol, United Kingdom
Rachel Denholm, Health Data Research UK South-West, Bristol, United Kingdom
Harriet Forbes, Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, United Kingdom
Jean Stafford, Medical Research Council Unit for Lifelong Health and Ageing, University College London, London, United Kingdom
Bettina Moltrecht, Centre for Longitudinal Studies, University College London, London, United Kingdom
Alex Walker, The Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
Tom Palmer, Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
Ellen j. Thompson, School of Psychology, University of Sussex, Falmer, United Kingdom
Kurt Taylor, Population Health Sciences, University of Bristol, Bristol, United Kingdom
Genevieve Cezard, Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge, Cambridge, United Kingdom
Elsie m. f. Horne, Medical Research Council Unit for Lifelong Health and Ageing, University College London, London, United Kingdom
Yinghui Wei, School of Engineering, Computing and Mathematics
Marwa Al arab, Population Health Sciences, University of Bristol, Bristol, United Kingdom
Rochelle Knight, The National Institute for Health and Care Research Applied Research Collaboration West at University Hospitals Bristol and Weston, United Kingdom
Jon Massey, The Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
Louis Fisher, The Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
Simon Davy, The Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
Amir Mehrkar, The Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
Seb Bacon, The Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
Ben Goldacre, The Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
Angela Wood, Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, United Kingdom
Nishi Chaturvedi, Medical Research Council Unit for Lifelong Health and Ageing, University College London, London, United Kingdom
John Macleod, The National Institute for Health and Care Research Applied Research Collaboration West at University Hospitals Bristol and Weston, United Kingdom
Ann John, Swansea University Medical School, University of Swansea, Swansea, United Kingdom
Jonathan a. c. Sterne, Health Data Research UK South-West, Bristol, United Kingdom
Longitudinal Health and Wellbeing COVID-19 National Core Study

ORCID

Abstract

Importance Associations have been found between COVID-19 and subsequent mental illness in both hospital- and population-based studies. However, evidence regarding which mental illnesses are associated with COVID-19 by vaccination status in these populations is limited.Objective To determine which mental illnesses are associated with diagnosed COVID-19 by vaccination status in both hospitalized patients and the general population.Design, Setting, and Participants This study was conducted in 3 cohorts, 1 before vaccine availability followed during the wild-type/Alpha variant eras (January 2020-June 2021) and 2 (vaccinated and unvaccinated) during the Delta variant era (June-December 2021). With National Health Service England approval, OpenSAFELY-TPP was used to access linked data from 24 million people registered with general practices in England using TPP SystmOne. People registered with a GP in England for at least 6 months and alive with known age between 18 and 110 years, sex, deprivation index information, and region at baseline were included. People were excluded if they had COVID-19 before baseline. Data were analyzed from July 2022 to June 2024.Exposure Confirmed COVID-19 diagnosis recorded in primary care secondary care, testing data, or the death registry.Main Outcomes and Measures Adjusted hazard ratios (aHRs) comparing the incidence of mental illnesses after diagnosis of COVID-19 with the incidence before or without COVID-19 for depression, serious mental illness, general anxiety, posttraumatic stress disorder, eating disorders, addiction, self-harm, and suicide.Results The largest cohort, the pre–vaccine availability cohort, included 18 648 606 people (9 363 710 [50.2%] female and 9 284 896 [49.8%] male) with a median (IQR) age of 49 (34-64) years. The vaccinated cohort included 14 035 286 individuals (7 308 556 [52.1%] female and 6 726 730 [47.9%] male) with a median (IQR) age of 53 (38-67) years. The unvaccinated cohort included 3 242 215 individuals (1 363 401 [42.1%] female and 1 878 814 [57.9%] male) with a median (IQR) age of 35 (27-46) years. Incidence of most outcomes was elevated during weeks 1 through 4 after COVID-19 diagnosis, compared with before or without COVID-19, in each cohort. Incidence of mental illnesses was lower in the vaccinated cohort compared with the pre–vaccine availability and unvaccinated cohorts: aHRs for depression and serious mental illness during weeks 1 through 4 after COVID-19 were 1.93 (95% CI, 1.88-1.98) and 1.49 (95% CI, 1.41-1.57) in the pre–vaccine availability cohort and 1.79 (95% CI, 1.68-1.90) and 1.45 (95% CI, 1.27-1.65) in the unvaccinated cohort compared with 1.16 (95% CI, 1.12-1.20) and 0.91 (95% CI, 0.85-0.98) in the vaccinated cohort. Elevation in incidence was higher and persisted longer after hospitalization for COVID-19.Conclusions and Relevance In this study, incidence of mental illnesses was elevated for up to a year following severe COVID-19 in unvaccinated people. These findings suggest that vaccination may mitigate the adverse effects of COVID-19 on mental health.

Publication Date

2024-08-21

Publication Title

JAMA Psychiatry

ISSN

2168-622X

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