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0 0.5 1 1.5 2+ Case, >1/week vs. none 43% Improvement Relative Risk Case, 1-4/mon vs. none 62% Exercise for COVID-19  Beydoun et al.  Prophylaxis Does physical activity reduce risk for COVID-19? Retrospective 2,158 patients in the USA Fewer cases with higher activity levels (not stat. sig., p=0.055) c19early.org Beydoun et al., American J. Infection .., Mar 2022 Favors exercise Favors inactivity

Socio-demographic, lifestyle and health characteristics as predictors of self-reported Covid-19 history among older adults: 2006-2020 Health and Retirement Study

Beydoun et al., American Journal of Infection Control, doi:10.1016/j.ajic.2022.02.021
Mar 2022  
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Exercise for COVID-19
9th treatment shown to reduce risk in October 2020
 
*, now known with p < 0.00000000001 from 66 studies.
No treatment is 100% effective. Protocols combine complementary and synergistic treatments. * >10% efficacy in meta analysis with ≥3 clinical studies.
4,100+ studies for 60+ treatments. c19early.org
Retrospective 2,830 people in the USA, showing lower risk of COVID-19 with a history of moderate/vigorous exercise.
risk of case, 43.0% lower, OR 0.57, p = 0.05, high activity levels 1,710, low activity levels 448, adjusted per study, multivariable, >1/week vs. none, model 2, RR approximated with OR.
risk of case, 62.0% lower, OR 0.38, p = 0.010, high activity levels 672, low activity levels 448, adjusted per study, multivariable, 1-4/mon vs. none, model 2, RR approximated with OR.
Effect extraction follows pre-specified rules prioritizing more serious outcomes. Submit updates
Beydoun et al., 12 Mar 2022, retrospective, USA, peer-reviewed, survey, 7 authors. Contact: hind.a.baydoun.civ@mail.mil (corresponding author), baydounm@mail.nih.gov, sharminh6@gmail.com, balemu@email.wcu.edu, rana.gautam@ung.edu, jordanmnw@gmail.com, zondermana@mail.nih.gov.
This PaperExerciseAll
Abstract: Journal Pre-proof Socio-demographic, lifestyle and health characteristics as predictors of self-reported Covid-19 history among older adults: 2006-2020 Health and Retirement Study Hind A. Beydoun PhD, MPH , May A. Beydoun PhD, MPH , Sharmin Hossain PhD , Brook T. Alemu PhD , Rana S. Gautam PhD , Jordan Weiss PhD , Alan B. Zonderman PhD PII: DOI: Reference: S0196-6553(22)00101-8 https://doi.org/10.1016/j.ajic.2022.02.021 YMIC 6166 To appear in: AJIC: American Journal of Infection Control Please cite this article as: Hind A. Beydoun PhD, MPH , May A. Beydoun PhD, MPH , Sharmin Hossain PhD , Brook T. Alemu PhD , Rana S. Gautam PhD , Jordan Weiss PhD , Alan B. Zonderman PhD , Socio-demographic, lifestyle and health characteristics as predictors of self-reported Covid-19 history among older adults: 2006-2020 Health and Retirement Study, AJIC: American Journal of Infection Control (2022), doi: https://doi.org/10.1016/j.ajic.2022.02.021 This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. Published by Elsevier Inc. on behalf of Association for Professionals in Infection Control and Epidemiology, Inc. Highlights  Longitudinal study of U.S. older adults from 2006-2020 Health and Retirement Study  Overall prevalence of Covid-19 history was 1.1%  More household members and depressive symptoms related to Covid-19 history  Number of cardiometabolic conditions inversely related to Covid-19 history  Trends in hypertension, diabetes and heart disease differed by Covid-19 history 1 Socio-demographic, lifestyle and health characteristics as predictors of self-reported Covid-19 history among older adults: 2006-2020 Health and Retirement Study Hind A. Beydoun, PhD, MPHa (hind.a.baydoun.civ@mail.mil); May A. Beydoun, PhD, MPHb (baydounm@mail.nih.gov); Sharmin Hossain, PhDb (sharminh6@gmail.com); Brook T. Alemu, PhDc (balemu@email.wcu.edu); Rana S. Gautam, PhDd (rana.gautam@ung.edu); Jordan Weiss, PhDe (jordanmnw@gmail.com); Alan B. Zonderman, PhDb (zondermana@mail.nih.gov) a b Department of Research Programs, Fort Belvoir Community Hospital, Fort Belvoir, VA, USA 22060 Laboratory of Epidemiology and Population Sciences, National Institute on Aging, NIA/NIH/IRP, Baltimore, MD, USA 21225 c Health Sciences Program, School of Health Sciences, Western Carolina University, Cullowhee, NC, USA 28723 e Department of Sociology and Human Services, University of North Georgia, Dahlonega, GA 30597 e Department of Demography, UC Berkeley, Berkeley, CA, USA 94720 * Corresponding author: Hind A. Beydoun, PhD, MPH, Department of Research Programs, Fort Belvoir Community Hospital, 9300 DeWitt Loop, Fort Belvoir, VA 22060, Phone: 571-231-1681, Fax: 571-231-6667 Email: Hind.a.Baydoun.civ@mail.mil 2 Disclaimer: The views expressed in this article are those of the authors and do not reflect the official policy of Fort Belvoir Community Hospital, the Defense Health Agency, Department of Defense, or the U.S. Government. Any discussion..
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