Article ; Online: Does pre-existent physical inactivity have a role in the severity of COVID-19?
Therapeutic advances in respiratory disease
2021 Volume 15, Page(s) 17534666211025221
Abstract: ... in this retrospective study. We evaluated the association between pre-existent physical inactivity and severe COVID-19 using ... overweight.: Conclusion: Our data showed that pre-existent physical inactivity was associated ... inactivity and the risk of severe coronavirus disease 2019 (COVID-19).: Methods: We included 164 (61.8 ...
Abstract | Background and aims: Physical inactivity is considered an important lifestyle factor for overweight and cardiovascular disease. We aimed to investigate the association between pre-existent physical inactivity and the risk of severe coronavirus disease 2019 (COVID-19). Methods: We included 164 (61.8 ± 13.6 years) patients with COVID-19 who were admitted between 15 February and 14 March 2020 in this retrospective study. We evaluated the association between pre-existent physical inactivity and severe COVID-19 using a logistic regression model. Results: Of 164 eligible patients with COVID-19, 103 (62.8%) were reported to be physically inactive. Univariable logistic regression analysis showed that physical inactivity was associated with an increased risk of severe COVID-19 [unadjusted odds ratio (OR) 6.53, 95% confidence interval (CI) 1.88-22.62]. In the multivariable regression analysis, physical inactivity remained significantly associated with an increased risk of severe COVID-19 (adjusted OR 4.12, 95% CI 1.12-15.14) after adjustment for age, sex, stroke, and overweight. Conclusion: Our data showed that pre-existent physical inactivity was associated with an increased risk of experiencing severe COVID-19. Our findings indicate that people should be encouraged to keep physically active to be at a lower risk of experiencing a severe illness when COVID-19 infection seems unpredicted. |
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MeSH term(s) | Aged ; Aged, 80 and over ; COVID-19/complications ; COVID-19/diagnosis ; COVID-19/mortality ; China ; Female ; Humans ; Logistic Models ; Male ; Middle Aged ; Retrospective Studies ; Risk Factors ; Sedentary Behavior ; Severity of Illness Index | |||||
Language | English | |||||
Publishing date | 2021-06-12 | |||||
Publishing country | England | |||||
Document type | Journal Article ; Research Support, Non-U.S. Gov't | |||||
ZDB-ID | 2476459-0 | |||||
ISSN | 1753-4666 ; 1753-4658 | |||||
ISSN (online) | 1753-4666 | |||||
ISSN | 1753-4658 | |||||
DOI | 10.1177/17534666211025221 | |||||
Shelf mark |
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Database | MEDical Literature Analysis and Retrieval System OnLINE |
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