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


Journal

medRxiv : the preprint server for health sciences
Titre abrégé: medRxiv
Pays: United States
ID NLM: 101767986

Informations de publication

Date de publication:
08 Jul 2021
Historique:
entrez: 16 7 2021
pubmed: 17 7 2021
medline: 17 7 2021
Statut: epublish

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 (e.g., obesity, 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 413,148 individuals between February and April 2021; 26,998 had tested positive for SARS-CoV-2. We adjusted for physical and mental pre-pandemic comorbidities, 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. negative (26.1%) individuals. This association was small compared to 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) vs. 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 pre-pandemic. Zoe Limited, National Institute for Health Research, Chronic Disease Research Foundation, National Institutes of Health, Medical Research Council UK.

Sections du résumé

BACKGROUND 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 (e.g., obesity, comorbidities) have not been examined. We identified how COVID-19 relates to mental health in the large community-based COVID Symptom Study.
METHODS METHODS
We assessed anxiety and depression symptoms using two validated questionnaires in 413,148 individuals between February and April 2021; 26,998 had tested positive for SARS-CoV-2. We adjusted for physical and mental pre-pandemic comorbidities, BMI, age, and sex.
FINDINGS RESULTS
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. negative (26.1%) individuals. This association was small compared to 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) vs. more distant (>120 days) infection, suggesting a short-term effect.
INTERPRETATION CONCLUSIONS
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 pre-pandemic.
FUNDING BACKGROUND
Zoe Limited, National Institute for Health Research, Chronic Disease Research Foundation, National Institutes of Health, Medical Research Council UK.

Identifiants

pubmed: 34268526
doi: 10.1101/2021.07.07.21260137
pmc: PMC8282115
pii:
doi:

Types de publication

Preprint

Langues

eng

Subventions

Organisme : EPA
ID : EP-W-17-011
Pays : United States
Organisme : NIDDK NIH HHS
ID : K23 DK125838
Pays : United States
Organisme : Wellcome Trust
Pays : United Kingdom
Organisme : NIDDK NIH HHS
ID : K01 DK120742
Pays : United States
Organisme : Medical Research Council
ID : MC_PC_20058
Pays : United Kingdom

Commentaires et corrections

Type : UpdateIn

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Auteurs

Kerstin Klaser (K)

School of Biomedical Engineering & Imaging Sciences, King's College London, London SE1 7EU, UK.

Ellen J Thompson (EJ)

Department of Twin Research and Genetic Epidemiology, King's College London, London SE1 7EH, UK.

Long H Nguyen (LH)

Clinical & Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, 100 Cambridge Street, Boston, MA, USA.
Division of Gastroenterology, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, 100 Cambridge Street, Boston, MA, USA.

Carole H Sudre (CH)

School of Biomedical Engineering & Imaging Sciences, King's College London, London SE1 7EU, UK.
MRC Unit for Lifelong Health and Ageing, Department of Population Science and Experimental Medicine, University College London, UK.
Centre for Medical Image Computing, Department of Computer Science, University College London, UK.

Michela Antonelli (M)

School of Biomedical Engineering & Imaging Sciences, King's College London, London SE1 7EU, UK.

Benjamin Murray (B)

School of Biomedical Engineering & Imaging Sciences, King's College London, London SE1 7EU, UK.

Liane S Canas (LS)

School of Biomedical Engineering & Imaging Sciences, King's College London, London SE1 7EU, UK.

Erika Molteni (E)

School of Biomedical Engineering & Imaging Sciences, King's College London, London SE1 7EU, UK.

Mark S Graham (MS)

School of Biomedical Engineering & Imaging Sciences, King's College London, London SE1 7EU, UK.

Eric Kerfoot (E)

School of Biomedical Engineering & Imaging Sciences, King's College London, London SE1 7EU, UK.

Liyuan Chen (L)

School of Biomedical Engineering & Imaging Sciences, King's College London, London SE1 7EU, UK.

Jie Deng (J)

School of Biomedical Engineering & Imaging Sciences, King's College London, London SE1 7EU, UK.

Anna May (A)

Zoe Limited, London SE1 7RW, UK.

Christina Hu (C)

Zoe Limited, London SE1 7RW, UK.

Andy Guest (A)

Zoe Limited, London SE1 7RW, UK.

Somesh Selvachandran (S)

Zoe Limited, London SE1 7RW, UK.

David A Drew (DA)

Clinical & Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, 100 Cambridge Street, Boston, MA, USA.
Division of Gastroenterology, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, 100 Cambridge Street, Boston, MA, USA.

Marc Modat (M)

School of Biomedical Engineering & Imaging Sciences, King's College London, London SE1 7EU, UK.

Andrew T Chan (AT)

Clinical & Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, 100 Cambridge Street, Boston, MA, USA.
Division of Gastroenterology, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, 100 Cambridge Street, Boston, MA, USA.

Jonathan Wolf (J)

Zoe Limited, London SE1 7RW, UK.

Tim D Spector (TD)

Department of Twin Research and Genetic Epidemiology, King's College London, London SE1 7EH, UK.

Alexander Hammers (A)

School of Biomedical Engineering & Imaging Sciences, King's College London, London SE1 7EU, UK.
King's College London & Guy's and St Thomas' PET Centre, London, UK.

Emma L Duncan (EL)

Department of Twin Research and Genetic Epidemiology, King's College London, London SE1 7EH, UK.

Sebastien Ourselin (S)

School of Biomedical Engineering & Imaging Sciences, King's College London, London SE1 7EU, UK.

Claire J Steves (CJ)

Department of Twin Research and Genetic Epidemiology, King's College London, London SE1 7EH, UK.

Classifications MeSH