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Cohort Profile: Longitudinal population-based study of COVID-19 in UK adults (COVIDENCE UK)
Hayley Holt; Clare Relton; Mohammad Talaei; Jane Symons; Molly R Davies; David A Jolliffe; Giulia Vivaldi; Florence Tydeman; Anne Williamson; Paul E Pfeffer; Christopher Orton; David Ford; Gwyneth A Davies; Ronan A Lyons; Chris J Griffiths; Frank Kee; Aziz Sheikh; Gerome Breen; Seif Shaheen; Adrian R Martineau.
Affiliation
  • Hayley Holt; Queen Mary University of London
  • Clare Relton; Queen Mary University of London
  • Mohammad Talaei; Queen Mary University of London
  • Jane Symons; Jane Symons Media
  • Molly R Davies; King's College London
  • David A Jolliffe; Queen Mary University of London
  • Giulia Vivaldi; Queen Mary University of London
  • Florence Tydeman; Queen Mary University of London
  • Anne Williamson; Blizard Institute
  • Paul E Pfeffer; Barts Health NHS Trust
  • Christopher Orton; Swansea University
  • David Ford; Swansea University
  • Gwyneth A Davies; Swansea University
  • Ronan A Lyons; Swansea University
  • Chris J Griffiths; Queen Mary University of London
  • Frank Kee; Queen's University Belfast
  • Aziz Sheikh; University of Edinburgh
  • Gerome Breen; King's College London
  • Seif Shaheen; Queen Mary University of London
  • Adrian R Martineau; Queen Mary University of London
Preprint in English | medRxiv | ID: ppmedrxiv-22276205
ABSTRACT
BackgroundCoronavirus disease 2019 (COVID-19), caused by the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is estimated to have caused more than 18 million deaths worldwide as of end-May 2022. MethodsCOVIDENCE UK is a longitudinal population-based study that investigates risk factors for, and impacts of, COVID-19 in UK residents aged [≥]16 years. A unique feature is the capacity to support trial-within-cohort studies to evaluate interventions for prevention of COVID-19 and other acute respiratory illnesses. Participants complete a detailed online baseline questionnaire capturing self-reported information relating to their socio-demographic characteristics, occupation, lifestyle, quality of life, weight, height, longstanding medical conditions, medication use, vaccination status, diet and supplemental micronutrient intake. Follow-up on-line questionnaires capturing incident symptoms of COVID-19 and other acute respiratory infections, incident swab test-confirmed COVID-19, doses of SARS-CoV-2 vaccine received, and quality of life are completed at monthly intervals. ResultsThe study was launched on 1st May 2020 and closed to recruitment on 6th October 2021. A total of 19,981 participants enrolled and consented to 5-year follow-up with medical record linkage. Their mean age was 59.1 years (range 16.0 to 94.4 years), 70.2% were female, and 93.7% identified their ethnic origin as White. Analyses conducted to date have provided key insights into risk factors for SARS-CoV-2 infection and COVID-19 disease, determinants of SARS-CoV-2 vaccine immunogenicity and efficacy, and impacts of COVID-19 on health economic outcomes. The cohort has also supported conduct of a Phase 3 randomised trial-within-cohort study (CORONAVIT) evaluating implementation of a test-and-treat approach to correcting sub-optimal vitamin D status on incidence and severity of acute respiratory infections, including COVID-19. ConclusionsThe COVIDENCE UK dataset represents a valuable resource containing granular information on factors influencing susceptibility to, and impacts of, COVID-19 in UK adults. Researchers wishing to access anonymised participant-level data should contacting the corresponding author for further information.
License
cc_by_nc_nd
Full text: Available Collection: Preprints Database: medRxiv Type of study: Cohort_studies / Experimental_studies / Observational study / Prognostic study / Rct Language: English Year: 2022 Document type: Preprint
Full text: Available Collection: Preprints Database: medRxiv Type of study: Cohort_studies / Experimental_studies / Observational study / Prognostic study / Rct Language: English Year: 2022 Document type: Preprint
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