CovidLife: a resource to understand mental health, well-being and behaviour during the COVID-19 pandemic in the UK.

COVID-19 longitudinal study mental health observational study psychological well-being

Journal

Wellcome open research
ISSN: 2398-502X
Titre abrégé: Wellcome Open Res
Pays: England
ID NLM: 101696457

Informations de publication

Date de publication:
2021
Historique:
accepted: 28 06 2021
medline: 7 7 2021
pubmed: 7 7 2021
entrez: 26 2 2024
Statut: epublish

Résumé

CovidLife is a longitudinal observational study designed to investigate the impact of the COVID-19 pandemic on mental health, well-being and behaviour in adults living in the UK. In total, 18,518 participants (mean age = 56.43, SD = 14.35) completed the first CovidLife questionnaire (CovidLife1) between April and June 2020. To date, participants have completed two follow-up assessments. CovidLife2 took place between July and August 2020 (n = 11,319), and CovidLife3 took place in February 2021 (n = 10,386). A range of social and psychological measures were administered at each wave including assessments of anxiety, depression, well-being, loneliness and isolation. Information on sociodemographic, health, and economic circumstances was also collected. Questions also assessed information on COVID-19 infections and symptoms, compliance to COVID-19 restrictions, and opinions on the UK and Scottish Governments' handling of the pandemic. CovidLife includes a subsample of 4,847 participants from the Generation Scotland cohort (N~24,000, collected 2006-2011); a well-characterised cohort of families in Scotland with pre-pandemic data on mental health, physical health, lifestyle, and socioeconomic factors, along with biochemical and genomic data derived from biological samples. These participants also consented to their study data being linked to Scottish health records. CovidLife and Generation Scotland data can be accessed and used by external researchers following approval from the Generation Scotland Access Committee. CovidLife can be used to investigate mental health, well-being and behaviour during COVID-19; how these vary according to sociodemographic, health and economic circumstances; and how these change over time. The Generation Scotland subsample with pre-pandemic data and linkage to health records can be used to investigate the predictors of health and well-being during COVID-19 and the future health consequences of the COVID-19 pandemic.

Identifiants

pubmed: 38406227
doi: 10.12688/wellcomeopenres.16987.1
pmc: PMC10884595
doi:

Types de publication

Journal Article

Langues

eng

Pagination

176

Informations de copyright

Copyright: © 2021 Fawns-Ritchie C et al.

Déclaration de conflit d'intérêts

No competing interests were disclosed.

Auteurs

Chloe Fawns-Ritchie (C)

Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, EH4 2XU, UK.
Department of Psychology, University of Edinburgh, Edinburgh, EH8 9JZ, UK.

Drew M Altschul (DM)

Department of Psychology, University of Edinburgh, Edinburgh, EH8 9JZ, UK.

Archie Campbell (A)

Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, EH4 2XU, UK.
Centre for Medical Informatics, Usher Institute, University of Edinburgh, Edinburgh, EH16 4UX, UK.

Charlotte Huggins (C)

Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, EH4 2XU, UK.

Clifford Nangle (C)

Centre for Medical Informatics, Usher Institute, University of Edinburgh, Edinburgh, EH16 4UX, UK.

Rebecca Dawson (R)

Centre for Medical Informatics, Usher Institute, University of Edinburgh, Edinburgh, EH16 4UX, UK.

Rachel Edwards (R)

Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, EH4 2XU, UK.
MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, EH4 2XU, UK.

Robin Flaig (R)

Centre for Medical Informatics, Usher Institute, University of Edinburgh, Edinburgh, EH16 4UX, UK.

Louise Hartley (L)

Centre for Medical Informatics, Usher Institute, University of Edinburgh, Edinburgh, EH16 4UX, UK.

Christie Levein (C)

Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, EH4 2XU, UK.

Daniel L McCartney (DL)

Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, EH4 2XU, UK.

David Bell (D)

Division of Economics, Stirling Management School, University of Stirling, Stirling, FK9 4LA, UK.

Elaine Douglas (E)

Faculty of Social Sciences, University of Stirling, Stirling, FK9 4LA, UK.

Ian J Deary (IJ)

Department of Psychology, University of Edinburgh, Edinburgh, EH8 9JZ, UK.

Caroline Hayward (C)

MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, EH4 2XU, UK.

Riccardo E Marioni (RE)

Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, EH4 2XU, UK.

Andrew M McIntosh (AM)

Division of Psychiatry, University of Edinburgh, Edinburgh, EH10 5HF, UK.

Cathie Sudlow (C)

Centre for Medical Informatics, Usher Institute, University of Edinburgh, Edinburgh, EH16 4UX, UK.

David J Porteous (DJ)

Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, EH4 2XU, UK.
Centre for Medical Informatics, Usher Institute, University of Edinburgh, Edinburgh, EH16 4UX, UK.

Classifications MeSH