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 E Williamson; Paul E Pfeffer; Christopher Orton; David V. Ford; Gwyneth A. Davies; Ronan A. Lyons; Christopher J. Griffiths; Frank Kee; Aziz Sheikh; Gerome Breen; Seif O. Shaheen; Adrian R. Martineau

doi:10.1093/ije/dyac189

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 E Williamson
, Paul E Pfeffer
, Christopher Orton
, David V. Ford
, Gwyneth A. Davies
, Ronan A. Lyons
, Christopher J. Griffiths
, Frank Kee
, Aziz Sheikh
, Gerome Breen
, Seif O. Shaheen
, Adrian R. Martineau

Research output: Contribution to journal › Article › peer-review

8 Citations (Scopus)

Abstract

The COVIDENCE UK cohort was established to investigate 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.

The study was launched on 1 May 2020 and closed to recruitment on 6 October 2021. A total of 19 981 participants enrolled, consented to 5-year follow-up with medical record linkage and completed a detailed online baseline questionnaire capturing self-reported information relating to their sociodemographic characteristics, occupation, lifestyle, quality of life, weight, height, long-standing medical conditions, medication use, vaccination status, diet and supplemental micronutrient intake.

At enrolment, participants’ 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.

Follow-up online 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.

A total of 18 388 (92.0%) participants remained in follow-up on 21 April 2022.

Cohort data are managed by BREATHE—the Health Data Research Hub for Respiratory Health, which is hosted within the Secure Anonymised Information Linkage (SAIL) Databank at Swansea University. Data requests should be addressed to the corresponding author.

Original language	English
Pages (from-to)	e46–e56
Journal	International Journal of Epidemiology
Volume	52
Issue number	1
Early online date	29 Sept 2022
DOIs	https://doi.org/10.1093/ije/dyac189
Publication status	Published - 01 Feb 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Access to Document

10.1093/ije/dyac189Licence: Unspecified

Cite this

Holt, H., Relton, C., Talaei, M., Symons, J., Davies, M. R., Jolliffe, D. A., Vivaldi, G., Tydeman, F., Williamson, A. E., Pfeffer, P. E., Orton, C., Ford, D. V., Davies, G. A., Lyons, R. A., Griffiths, C. J., Kee, F., Sheikh, A., Breen, G., Shaheen, S. O., & Martineau, A. R. (2023). Cohort profile: longitudinal population-based study of COVID-19 in UK adults (COVIDENCE UK). International Journal of Epidemiology, 52(1), e46–e56. https://doi.org/10.1093/ije/dyac189

@article{0554ff8d046b4bcc85995b8bfbf901e3,

title = "Cohort profile: longitudinal population-based study of COVID-19 in UK adults (COVIDENCE UK)",

abstract = "The COVIDENCE UK cohort was established to investigate 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. The study was launched on 1 May 2020 and closed to recruitment on 6 October 2021. A total of 19 981 participants enrolled, consented to 5-year follow-up with medical record linkage and completed a detailed online baseline questionnaire capturing self-reported information relating to their sociodemographic characteristics, occupation, lifestyle, quality of life, weight, height, long-standing medical conditions, medication use, vaccination status, diet and supplemental micronutrient intake. At enrolment, participants{\textquoteright} 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. Follow-up online 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. A total of 18 388 (92.0\%) participants remained in follow-up on 21 April 2022. Cohort data are managed by BREATHE—the Health Data Research Hub for Respiratory Health, which is hosted within the Secure Anonymised Information Linkage (SAIL) Databank at Swansea University. Data requests should be addressed to the corresponding author.",

author = "Hayley Holt and Clare Relton and Mohammad Talaei and Jane Symons and Davies, \{Molly R.\} and Jolliffe, \{David A.\} and Giulia Vivaldi and Florence Tydeman and Williamson, \{Anne E\} and Pfeffer, \{Paul E\} and Christopher Orton and Ford, \{David V.\} and Davies, \{Gwyneth A.\} and Lyons, \{Ronan A.\} and Griffiths, \{Christopher J.\} and Frank Kee and Aziz Sheikh and Gerome Breen and Shaheen, \{Seif O.\} and Martineau, \{Adrian R.\}",

year = "2023",

month = feb,

day = "1",

doi = "10.1093/ije/dyac189",

language = "English",

volume = "52",

pages = "e46–e56",

journal = "International Journal of Epidemiology",

issn = "0300-5771",

publisher = "Oxford University Press",

number = "1",

}

Holt, H, Relton, C, Talaei, M, Symons, J, Davies, MR, Jolliffe, DA, Vivaldi, G, Tydeman, F, Williamson, AE, Pfeffer, PE, Orton, C, Ford, DV, Davies, GA, Lyons, RA, Griffiths, CJ, Kee, F, Sheikh, A, Breen, G, Shaheen, SO & Martineau, AR 2023, 'Cohort profile: longitudinal population-based study of COVID-19 in UK adults (COVIDENCE UK)', International Journal of Epidemiology, vol. 52, no. 1, pp. e46–e56. https://doi.org/10.1093/ije/dyac189

TY - JOUR

T1 - Cohort profile: longitudinal population-based study of COVID-19 in UK adults (COVIDENCE UK)

AU - Holt, Hayley

AU - Relton, Clare

AU - Talaei, Mohammad

AU - Symons, Jane

AU - Davies, Molly R.

AU - Jolliffe, David A.

AU - Vivaldi, Giulia

AU - Tydeman, Florence

AU - Williamson, Anne E

AU - Pfeffer, Paul E

AU - Orton, Christopher

AU - Ford, David V.

AU - Davies, Gwyneth A.

AU - Lyons, Ronan A.

AU - Griffiths, Christopher J.

AU - Kee, Frank

AU - Sheikh, Aziz

AU - Breen, Gerome

AU - Shaheen, Seif O.

AU - Martineau, Adrian R.

PY - 2023/2/1

Y1 - 2023/2/1

N2 - The COVIDENCE UK cohort was established to investigate 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. The study was launched on 1 May 2020 and closed to recruitment on 6 October 2021. A total of 19 981 participants enrolled, consented to 5-year follow-up with medical record linkage and completed a detailed online baseline questionnaire capturing self-reported information relating to their sociodemographic characteristics, occupation, lifestyle, quality of life, weight, height, long-standing medical conditions, medication use, vaccination status, diet and supplemental micronutrient intake. At enrolment, participants’ 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. Follow-up online 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. A total of 18 388 (92.0%) participants remained in follow-up on 21 April 2022. Cohort data are managed by BREATHE—the Health Data Research Hub for Respiratory Health, which is hosted within the Secure Anonymised Information Linkage (SAIL) Databank at Swansea University. Data requests should be addressed to the corresponding author.

AB - The COVIDENCE UK cohort was established to investigate 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. The study was launched on 1 May 2020 and closed to recruitment on 6 October 2021. A total of 19 981 participants enrolled, consented to 5-year follow-up with medical record linkage and completed a detailed online baseline questionnaire capturing self-reported information relating to their sociodemographic characteristics, occupation, lifestyle, quality of life, weight, height, long-standing medical conditions, medication use, vaccination status, diet and supplemental micronutrient intake. At enrolment, participants’ 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. Follow-up online 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. A total of 18 388 (92.0%) participants remained in follow-up on 21 April 2022. Cohort data are managed by BREATHE—the Health Data Research Hub for Respiratory Health, which is hosted within the Secure Anonymised Information Linkage (SAIL) Databank at Swansea University. Data requests should be addressed to the corresponding author.

U2 - 10.1093/ije/dyac189

DO - 10.1093/ije/dyac189

M3 - Article

C2 - 36174228

SN - 0300-5771

VL - 52

SP - e46–e56

JO - International Journal of Epidemiology

JF - International Journal of Epidemiology

IS - 1

ER -

Cohort profile: longitudinal population-based study of COVID-19 in UK adults (COVIDENCE UK)

Abstract

UN SDGs

Access to Document

Fingerprint

Cite this