RuralCovidLife: A new resource for the impact of the pandemic on rural Scotland.

COVID-19 cohort longitudinal study rural communities

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: 18 05 2022
medline: 23 5 2022
pubmed: 23 5 2022
entrez: 10 5 2024
Statut: epublish

Résumé

RuralCovidLife is part of Generation Scotland's CovidLife project, investigating the impact of the COVID-19 pandemic and mitigation measures on people in Scotland. The RuralCovidLife project focuses on Scotland's rural communities, and how they have been impacted by the pandemic. During survey development, Generation Scotland consulted with people living or working in rural communities, and collaborated with a patient and public involvement and engagement (PPIE) group composed of rural community leaders. Through this consultation work, the RuralCovidLife survey was developed to assess the issues most pertinent to people in rural communities, such as mental health, employment, transport, connectivity, and local communities. Between 14th October and 30th November 2020, 3,365 participants from rural areas in Scotland took part in the survey. Participant ages ranged from 16 to 96 (mean = 58.4, standard deviation [SD] = 13.3), and the majority of the participants were female (70.5%). Over half (51.3%) had taken part in the original CovidLife survey. RuralCovidLife includes a subsample (n = 523) of participants from the Generation Scotland cohort. Pre-pandemic data on health and lifestyle, as well as biological samples, are available for these participants. These participants' data can also be linked to past and future healthcare records, allowing analysis of retrospective and prospective health outcomes. Like Generation Scotland, RuralCovidLife is designed as a resource for researchers. RuralCovidLife data, as well as the linked Generation Scotland data, is available for use by external researchers following approval from the Generation Scotland Access Committee. RuralCovidLife can be used to investigate mental health, well-being, and behaviour in participants living in rural areas during the COVID-19 pandemic, as well as comparisons with non-rural samples. Moreover, the sub-sample with full Generation Scotland data and linkage can be used to investigate the long-term health consequences of the COVID-19 pandemic in rural communities.

Identifiants

pubmed: 38726350
doi: 10.12688/wellcomeopenres.17325.2
pmc: PMC11079587
doi:

Types de publication

Journal Article

Langues

eng

Pagination

317

Informations de copyright

Copyright: © 2022 Stevenson AJ et al.

Déclaration de conflit d'intérêts

Competing interests: Members of the PPIE panel involved in development of study also acted as co-authors.

Auteurs

Anna J Stevenson (AJ)

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

Charlotte F Huggins (CF)

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

Alison Forbes (A)

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

Jim Hume (J)

Support in Mind Scotland, Edinburgh, EH16 5GA, UK.

Grant Fulton (G)

Fulton Fisheries Consultancies Limited, Isle of Harris, HS3 3DX, UK.

Claire Thirlwall (C)

Directorate of Public Health, Dumfries and Galloway Council, Dumfries, DG1 2DD, UK.

Janet Miles (J)

The GALE Centre, Gairloch, IV21 2BH, UK.

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.

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.

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.

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