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Journal article

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

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.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1038/s41467-022-30836-0

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Role:
Author
ORCID:
0000-0003-2118-821X
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Role:
Author
ORCID:
0000-0002-3825-2487
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Institution:
University of Oxford
Role:
Author
ORCID:
0000-0003-4932-6135
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Role:
Author
ORCID:
0000-0002-3506-160X
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Role:
Author
ORCID:
0000-0001-6133-4168


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Funder identifier:
10.13039/501100000265
Grant:
MC_PC_20030


Publisher:
Nature Research
Journal:
Nature Communications More from this journal
Volume:
13
Issue:
1
Pages:
3528-3528
Article number:
3528
Publication date:
2022-06-28
DOI:
EISSN:
2041-1723
ISSN:
2041-1723


Language:
English
Keywords:
Pubs id:
1266503
Local pid:
pubs:1266503
Source identifiers:
W4283646787
Deposit date:
2026-04-27
ARK identifier:
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