Long COVID burden and risk factors in 10 UK longitudinal studies and electronic health records

Ellen J. Thompson (), Dylan M. Williams (), Alex J. Walker, Ruth E. Mitchell, Claire L. Niedzwiedz, Tiffany C. Yang, Charlotte F. Huggins, Alex S. F. Kwong, Richard J. Silverwood, Giorgio Di Gessa, Ruth C. E. Bowyer, Kate Northstone, Bo Hou, Michael J. Green, Brian Dodgeon, Katie J. Doores, Emma L. Duncan, Frances M. K. Williams, Andrew Steptoe, David J. Porteous, Rosemary R. C. McEachan, Laurie Tomlinson, Ben Goldacre, Praveetha Patalay, George B. Ploubidis, Srinivasa Vittal Katikireddi, Kate Tilling, Christopher T. Rentsch, Nicholas J. Timpson, Nishi Chaturvedi and Claire J. Steves ()
Additional contact information
Ellen J. Thompson: King’s College London
Dylan M. Williams: University College London
Alex J. Walker: University of Oxford
Ruth E. Mitchell: MRC Integrative Epidemiology Unit at the University of Bristol
Claire L. Niedzwiedz: University of Glasgow
Tiffany C. Yang: Bradford Teaching Hospitals NHS Foundation Trust
Charlotte F. Huggins: University of Edinburgh
Alex S. F. Kwong: MRC Integrative Epidemiology Unit at the University of Bristol
Richard J. Silverwood: University College London
Giorgio Di Gessa: University College London
Ruth C. E. Bowyer: King’s College London
Kate Northstone: University of Bristol
Bo Hou: Bradford Teaching Hospitals NHS Foundation Trust
Michael J. Green: University of Glasgow
Brian Dodgeon: University College London
Katie J. Doores: King’s College London
Emma L. Duncan: King’s College London
Frances M. K. Williams: King’s College London
Andrew Steptoe: University College London
David J. Porteous: University of Edinburgh
Rosemary R. C. McEachan: Bradford Teaching Hospitals NHS Foundation Trust
Laurie Tomlinson: London School of Hygiene & Tropical Medicine
Ben Goldacre: University of Oxford
Praveetha Patalay: University College London
George B. Ploubidis: University College London
Srinivasa Vittal Katikireddi: University of Glasgow
Kate Tilling: MRC Integrative Epidemiology Unit at the University of Bristol
Christopher T. Rentsch: London School of Hygiene & Tropical Medicine
Nicholas J. Timpson: MRC Integrative Epidemiology Unit at the University of Bristol
Nishi Chaturvedi: University College London
Claire J. Steves: King’s College London

Nature Communications, 2022, vol. 13, issue 1, 1-11

Abstract: Abstract The frequency of, and risk factors for, long COVID are unclear among community-based individuals with a history of COVID-19. To elucidate the burden and possible causes of long COVID in the community, we coordinated analyses of survey data from 6907 individuals with self-reported COVID-19 from 10 UK longitudinal study (LS) samples and 1.1 million individuals with COVID-19 diagnostic codes in electronic healthcare records (EHR) collected by spring 2021. Proportions of presumed COVID-19 cases in LS reporting any symptoms for 12+ weeks ranged from 7.8% and 17% (with 1.2 to 4.8% reporting debilitating symptoms). Increasing age, female sex, white ethnicity, poor pre-pandemic general and mental health, overweight/obesity, and asthma were associated with prolonged symptoms in both LS and EHR data, but findings for other factors, such as cardio-metabolic parameters, were inconclusive.

Date: 2022
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Citations: View citations in EconPapers (9)

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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-30836-0

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DOI: 10.1038/s41467-022-30836-0

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