Anxiety and depression symptoms after COVID-19 infection: results from the COVID Symptom Study app.


Journal

Journal of neurology, neurosurgery, and psychiatry
ISSN: 1468-330X
Titre abrégé: J Neurol Neurosurg Psychiatry
Pays: England
ID NLM: 2985191R

Informations de publication

Date de publication:
12 2021
Historique:
received: 08 07 2021
accepted: 07 09 2021
pubmed: 30 9 2021
medline: 1 12 2021
entrez: 29 9 2021
Statut: ppublish

Résumé

Mental health issues have been reported after SARS-CoV-2 infection. However, comparison to prevalence in uninfected individuals and contribution from common risk factors (eg, obesity and comorbidities) have not been examined. We identified how COVID-19 relates to mental health in the large community-based COVID Symptom Study. We assessed anxiety and depression symptoms using two validated questionnaires in 413148 individuals between February and April 2021; 26998 had tested positive for SARS-CoV-2. We adjusted for physical and mental prepandemic comorbidities, body mass index (BMI), age and sex. Overall, 26.4% of participants met screening criteria for general anxiety and depression. Anxiety and depression were slightly more prevalent in previously SARS-CoV-2-positive (30.4%) vs SARS-CoV-2-negative (26.1%) individuals. This association was small compared with the effect of an unhealthy BMI and the presence of other comorbidities, and not evident in younger participants (≤40 years). Findings were robust to multiple sensitivity analyses. Association between SARS-CoV-2 infection and anxiety and depression was stronger in individuals with recent (<30 days) versus more distant (>120 days) infection, suggesting a short-term effect. A small association was identified between SARS-CoV-2 infection and anxiety and depression symptoms. The proportion meeting criteria for self-reported anxiety and depression disorders is only slightly higher than prepandemic.

Sections du résumé

BACKGROUND
Mental health issues have been reported after SARS-CoV-2 infection. However, comparison to prevalence in uninfected individuals and contribution from common risk factors (eg, obesity and comorbidities) have not been examined. We identified how COVID-19 relates to mental health in the large community-based COVID Symptom Study.
METHODS
We assessed anxiety and depression symptoms using two validated questionnaires in 413148 individuals between February and April 2021; 26998 had tested positive for SARS-CoV-2. We adjusted for physical and mental prepandemic comorbidities, body mass index (BMI), age and sex.
FINDINGS
Overall, 26.4% of participants met screening criteria for general anxiety and depression. Anxiety and depression were slightly more prevalent in previously SARS-CoV-2-positive (30.4%) vs SARS-CoV-2-negative (26.1%) individuals. This association was small compared with the effect of an unhealthy BMI and the presence of other comorbidities, and not evident in younger participants (≤40 years). Findings were robust to multiple sensitivity analyses. Association between SARS-CoV-2 infection and anxiety and depression was stronger in individuals with recent (<30 days) versus more distant (>120 days) infection, suggesting a short-term effect.
INTERPRETATION
A small association was identified between SARS-CoV-2 infection and anxiety and depression symptoms. The proportion meeting criteria for self-reported anxiety and depression disorders is only slightly higher than prepandemic.

Identifiants

pubmed: 34583944
pii: jnnp-2021-327565
doi: 10.1136/jnnp-2021-327565
pmc: PMC8599635
mid: NIHMS1743174
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1254-1258

Subventions

Organisme : Wellcome Trust
Pays : United Kingdom
Organisme : EPA
ID : EP-W-17-011
Pays : United States
Organisme : NIDDK NIH HHS
ID : K01 DK120742
Pays : United States
Organisme : NIDDK NIH HHS
ID : K23 DK125838
Pays : United States

Commentaires et corrections

Type : UpdateOf

Informations de copyright

© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: AM, CH, AG, SS and JW are employees of Zoe Limited. TDS reports being a consultant for Zoe Limited during the conduct of the study. ATC previously served as an investigator on a separate study supported by Zoe Limited.

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Auteurs

Kerstin Klaser (K)

School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.

Ellen J Thompson (EJ)

Department of Twin Research and Genetic Epidemiology, King's College London, London, UK.

Long H Nguyen (LH)

Clinical & Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Harvard Medical School, Boston, Massachusetts, USA.
Division of Gastroenterology, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Harvard Medical School, Boston, Massachusetts, USA.

Carole H Sudre (CH)

School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
Department of Medical Physics and Bioengineering, UCL Centre for Medical Image Computing (CMIC), London, UK.
MRC Unit for Lifelong Health and Ageing, Department of Population Science and Experimental Medicine, University College London, London, UK.

Michela Antonelli (M)

School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.

Benjamin Murray (B)

School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.

Liane S Canas (LS)

School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.

Erika Molteni (E)

School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.

Mark S Graham (MS)

School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.

Eric Kerfoot (E)

School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.

Liyuan Chen (L)

School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.

Jie Deng (J)

School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.

Anna May (A)

Zoe Limited, London, UK.

Christina Hu (C)

Zoe Limited, London, UK.

Andy Guest (A)

Zoe Limited, London, UK.

Somesh Selvachandran (S)

Zoe Limited, London, UK.

David A Drew (DA)

Clinical & Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Harvard Medical School, Boston, Massachusetts, USA.
Division of Gastroenterology, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Harvard Medical School, Boston, Massachusetts, USA.

Marc Modat (M)

School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.

Andrew T Chan (AT)

Clinical & Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Harvard Medical School, Boston, Massachusetts, USA.
Division of Gastroenterology, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Harvard Medical School, Boston, Massachusetts, USA.

Jonathan Wolf (J)

Zoe Limited, London, UK.

Tim D Spector (TD)

Department of Twin Research and Genetic Epidemiology, King's College London, London, UK.

Alexander Hammers (A)

School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
PET Centre, Division of Imaging Sciences and Biomedical Engineering, King's College London, London, UK.

Emma L Duncan (EL)

Department of Twin Research and Genetic Epidemiology, King's College London, London, UK.

Sebastien Ourselin (S)

School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.

Claire J Steves (CJ)

Department of Twin Research and Genetic Epidemiology, King's College London, London, UK claire.j.steves@kcl.ac.uk.

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