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Journal article

Modifiable lifestyle factors and the risk of post-COVID-19 multisystem sequelae, hospitalization, and death

Abstract:
Effective prevention strategies for post-COVID complications are crucial for patients, clinicians, and policy makers to mitigate their cumulative burden. This study evaluated the association of modifiable lifestyle factors (smoking, alcohol intake, BMI, physical activity, sedentary time, sleep duration, and dietary habits) with COVID-19 multisystem sequelae, death, and hospitalization in the UK Biobank cohort (n = 68,896). A favorable lifestyle (6-10 healthy factors; 46.4%) was associated with a 36% lower risk of multisystem sequelae (HR, 0.64; 95% CI, 0.58-0.69; ARR at 210 days, 7.08%; 95% CI, 5.98-8.09) compared to an unfavorable lifestyle (0-4 factors; 12.3%). Risk reductions spanned all 10 organ systems, including cardiovascular, coagulation, metabolic, gastrointestinal, kidney, mental health, musculoskeletal, respiratory disorders, and fatigue. This beneficial effect was largely attributable to direct lifestyle impacts independent of corresponding pre-infection comorbidities (71% for any sequelae). A favorable lifestyle was also related to the risk of post-COVID death (HR 0.59, 0.52-0.66) and hospitalization (HR 0.78, 0.73-0.84). These associations persisted across acute and post-acute infection phases, irrespective of hospitalization status, vaccination, or SARS-CoV-2 variant. These findings underscore the clinical and public health importance of adhering to a healthy lifestyle in mitigating long-term COVID-19 adverse impacts and enhancing future pandemic preparedness.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1038/s41467-024-50495-7

Authors

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Institution:
University of Oxford
Division:
MSD
Department:
Nuffield Department of Population Health
Sub department:
Clinical Trial Service Unit
Oxford college:
Brasenose College
Role:
Author
ORCID:
0000-0002-0923-1441
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDORMS
Sub department:
Centre for Statistics in Medicine
Research group:
NIHR Biomedical Research Centre Oxford
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDORMS
Sub department:
Centre for Statistics in Medicine
Research group:
NIHR Biomedical Research Centre Oxford
Role:
Author
ORCID:
0000-0002-6500-9909
More by this author
Role:
Author
ORCID:
0000-0002-9853-6991


Publisher:
Springer Nature
Journal:
Nature Communications More from this journal
Volume:
15
Issue:
1
Article number:
6363
Publication date:
2024-07-29
Acceptance date:
2024-07-09
DOI:
EISSN:
2041-1723


Language:
English
Pubs id:
2018813
Local pid:
pubs:2018813
Deposit date:
2024-07-30
ARK identifier:

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