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The causal effect of physical activity intensity on COVID-19 susceptibility, hospitalization, and severity: Evidence from a mendelian randomization study

Zhang et al., Frontiers in Physiology, doi:10.3389/fphys.2023.1089637
Mar 2023  
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Exercise for COVID-19
9th treatment shown to reduce risk in October 2020
 
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No treatment is 100% effective. Protocols combine complementary and synergistic treatments. * >10% efficacy in meta analysis with ≥3 clinical studies.
4,200+ studies for 70+ treatments. c19early.org
Mendelian randomization study showing lower risk of COVID-19 severity, hospitalization, and cases with light physical activity, but no significant difference for moderate-to-vigorous physical activity. Authors note that they were unable to analyze moderate intensity physical activity because the database only provides two categories (light and moderate-to-vigorous).
Zhang et al., 8 Mar 2023, United Kingdom, peer-reviewed, 4 authors. Contact: hanson-swu@foxmail.com.
This PaperExerciseAll
The causal effect of physical activity intensity on COVID-19 susceptibility, hospitalization, and severity: Evidence from a mendelian randomization study
Xing Zhang, Xinyue Zhang, Siyuan Feng, Hansen Li
Frontiers in Physiology, doi:10.3389/fphys.2023.1089637
The protection of physical activity (PA) against COVID-19 is a rising research interest. However, the role of physical activity intensity on this topic is yet unclear. To bridge the gap, we performed a Mendelian randomization (MR) study to verify the causal influence of light and moderate-to-vigorous PA on COVID-19 susceptibility, hospitalization, and severity. The Genome-Wide Association Study (GWAS) dataset of PA (n = 88,411) was obtained from the UK biobank and the datasets of COVID-19 susceptibility (n = 1,683,768), hospitalization (n = 1,887,658), and severity (n = 1,161,073) were extracted from the COVID-19 Host Genetics Initiative. A random-effect inverse variance weighted (IVW) model was carried out to estimate the potential causal effects. A Bonferroni correction was used for counteracting. The problem of multiple comparisons. MR-Egger test, MR-PRESSO test, Cochran's Q statistic, and Leave-One-Out (LOO) were used as sensitive analysis tools. Eventually, we found that light PA significantly reduced the risk of COVID-19 infection (OR = 0.644, 95% CI: 0.480-0.864, p = 0.003). Suggestive evidence indicated that light PA reduced the risks of COVID-19 hospitalization (OR = 0.446, 95% CI: 0.227 to 0.879, p = 0.020) and severe complications (OR = 0.406, 95% CI: 0.167-0.446, p = 0.046). By comparison, the effects of moderate-to-vigorous PA on the three COVID-19 outcomes were all non-significant. Generally, our findings may offer evidence for prescribing personalized prevention and treatment programs. Limited by the available datasets and the quality of evidence, further research is warranted to reexamine the effects of light PA on COVID-19 when new GWAS datasets emerge.
Author contributions Conceptualization, HL; data curation, XZ; formal analysis, XZ; investigation, XZ and HL; project administration, SF and HL; supervision, SF and HL; writing-original draft, XZ and HL; writing-review and editing, XZ, XY, and HL. All authors have read and agreed to the published version of the manuscript. Conflict of interest The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. Publisher's note All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher. Supplementary material The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fphys.2023.1089637/ full#supplementary-material
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A random-effect inverse ' 'variance weighted (IVW) model was carried out to estimate the potential causal effects. A ' 'Bonferroni correction was used for counteracting. The problem of multiple comparisons. ' 'MR-Egger test, MR-PRESSO test, Cochran’s Q statistic, and Leave-One-Out (LOO) were used as ' 'sensitive analysis tools. Eventually, we found that light PA significantly reduced the risk ' 'of COVID-19 infection (OR = 0.644, 95% CI: 0.480–0.864, <jats:italic>p</jats:italic> = ' '0.003). Suggestive evidence indicated that light PA reduced the risks of COVID-19 ' 'hospitalization (OR = 0.446, 95% CI: 0.227 to 0.879, <jats:italic>p</jats:italic> = 0.020) ' 'and severe complications (OR = 0.406, 95% CI: 0.167–0.446, <jats:italic>p</jats:italic> = ' '0.046). By comparison, the effects of moderate-to-vigorous PA on the three COVID-19 outcomes ' 'were all non-significant. Generally, our findings may offer evidence for prescribing ' 'personalized prevention and treatment programs. 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Please send us corrections, updates, or comments. c19early involves the extraction of 100,000+ datapoints from thousands of papers. Community updates help ensure high accuracy. Treatments and other interventions are complementary. All practical, effective, and safe means should be used based on risk/benefit analysis. No treatment or intervention is 100% available and effective for all current and future variants. We do not provide medical advice. Before taking any medication, consult a qualified physician who can provide personalized advice and details of risks and benefits based on your medical history and situation. FLCCC and WCH provide treatment protocols.
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