Trajectories of mental health among UK university staff and postgraduate students during the pandemic.


Journal

Occupational and environmental medicine
ISSN: 1470-7926
Titre abrégé: Occup Environ Med
Pays: England
ID NLM: 9422759

Informations de publication

Date de publication:
08 2022
Historique:
received: 01 11 2021
accepted: 15 02 2022
pubmed: 22 3 2022
medline: 19 7 2022
entrez: 21 3 2022
Statut: ppublish

Résumé

The COVID-19 pandemic has disrupted the social and working lives of many. Past studies have highlighted worsening mental health during the pandemic, but often rely on small samples or infrequent follow-up. This study draws on fortnightly assessments from a large occupational cohort to describe differing trajectories of mental health between April 2020 and April 2021 and individual characteristics associated with these trajectory types. King's College London Coronavirus Health and Experiences of Colleagues at King's is an occupational cohort study at a large university in London, UK. Participants (n=2241) completed online questionnaires fortnightly between April 2020 and April 2021. Symptoms of anxiety and depression were assessed using Generalised Anxiety Disorder (GAD-7) and Patient Health Questionnaire (PHQ-9). On average, participants reported low levels of anxiety and depression (GAD-7 and PHQ-9 scores of 0-9, consistent with 'none', 'minimal' or 'mild' symptoms) throughout the year, with symptoms highest in April 2020 and decreasing over the summer months when no lockdown measures were in place. However, we observed more severe and variable symptoms among subgroups of participants. Four trajectory types for anxiety and depression were identified: 'persistent high severity' (6%-7% of participants), 'varying symptoms, opposing national cases' (4%-8%), 'varying symptoms, consistent with national cases' (6%-11%) and 'persistent low severity' (74%-84%). Younger age, female gender, caring responsibilities and shielding were associated with higher severity trajectory types. These data highlight differing individual responses to the pandemic and underscore the need to consider individual circumstances when assessing and treating mental health. Aggregate trends in anxiety and depression may hide greater variation and symptom severity among subgroups.

Identifiants

pubmed: 35307649
pii: oemed-2021-108097
doi: 10.1136/oemed-2021-108097
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

514-520

Subventions

Organisme : Department of Health
Pays : United Kingdom

Informations de copyright

© Author(s) (or their employer(s)) 2022. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: MH receives funding from Janssen as part of the RADAR-CNS consortium, which includes a project on depression. He is a principal investigator of RADAR-CNS, a precompetitive public private partnership co-funded by Innovative Medicines Initiative (European Commission) and European Federation of Pharmaceutical Industries and Associations (EFPIA). He has also been an independent expert witness in group litigations instructed by claimants against pharmaceutical companies for alleged harmful effects of their products. Authors have no other conflict of interest to declare.

Auteurs

Ewan Carr (E)

Department of Biostatistics and Health Informatics, Institute of Psychology, Psychiatry and Neuroscience, King's College London, London, UK ewan.carr@kcl.ac.uk.

Carolin Oetzmann (C)

Department of Psychological Medicine, Institute of Psychology, Psychiatry and Neuroscience, King's College London, London, UK.

Katrina Davis (K)

Department of Psychological Medicine, Institute of Psychology, Psychiatry and Neuroscience, King's College London, London, UK.

Gabriella Bergin-Cartwright (G)

Department of Psychological Medicine, Institute of Psychology, Psychiatry and Neuroscience, King's College London, London, UK.

Sarah Dorrington (S)

Department of Psychological Medicine, Institute of Psychology, Psychiatry and Neuroscience, King's College London, London, UK.

Grace Lavelle (G)

Department of Psychological Medicine, Institute of Psychology, Psychiatry and Neuroscience, King's College London, London, UK.

Daniel Leightley (D)

Department of Psychological Medicine, Institute of Psychology, Psychiatry and Neuroscience, King's College London, London, UK.

Catherine Polling (C)

Department of Psychological Medicine, Institute of Psychology, Psychiatry and Neuroscience, King's College London, London, UK.
South London and Maudsley NHS Foundation Trust, London, UK.

Sharon A M Stevelink (SAM)

Department of Psychological Medicine, Institute of Psychology, Psychiatry and Neuroscience, King's College London, London, UK.
King's Centre for Military Health Research, Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.

Alice Wickersham (A)

Department of Psychological Medicine, Institute of Psychology, Psychiatry and Neuroscience, King's College London, London, UK.

Valentina Vitiello (V)

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

Reza Razavi (R)

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

Matthew Hotopf (M)

Department of Psychological Medicine, Institute of Psychology, Psychiatry and Neuroscience, King's College London, London, UK.
South London and Maudsley NHS Foundation Trust, London, UK.

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Classifications MeSH