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Associations of obesity, physical activity level, inflammation and cardiometabolic health with COVID-19 mortality: a prospective analysis of the UK Biobank cohort

Hamrouni et al., BMJ Open, doi:10.1136/bmjopen-2021-055003
Nov 2021  
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Mortality 29% Improvement Relative Risk Exercise for COVID-19  Hamrouni et al.  Prophylaxis Does physical activity reduce risk for COVID-19? Prospective study of 153,833 patients in the United Kingdom Lower mortality with higher activity levels (p=0.0093) c19early.org Hamrouni et al., BMJ Open, November 2021 Favorsexercise Favorsinactivity 0 0.5 1 1.5 2+
Exercise for COVID-19
9th treatment shown to reduce risk in October 2020, now with p < 0.00000000001 from 68 studies.
No treatment is 100% effective. Protocols combine treatments.
5,100+ studies for 109 treatments. c19early.org
Prospective UK Biobank analysis, showing a history of low physical activity associated with COVID-19 mortality.
risk of death, 29.0% lower, RR 0.71, p = 0.009, high activity levels 138 of 106,006 (0.1%), low activity levels 109 of 47,827 (0.2%), adjusted per study, inverted to make RR<1 favor high activity levels, odds ratio converted to relative risk, high vs. low physical activity, multivariable.
Effect extraction follows pre-specified rules prioritizing more serious outcomes. Submit updates
Hamrouni et al., 3 Nov 2021, prospective, United Kingdom, peer-reviewed, 5 authors.
This PaperExerciseAll
Associations of obesity, physical activity level, inflammation and cardiometabolic health with COVID-19 mortality: a prospective analysis of the UK Biobank cohort
Malik Hamrouni, Matthew J Roberts, Alice Thackray, David J Stensel, Professor Nicolette Bishop
BMJ Open, doi:10.1136/bmjopen-2021-055003
Objectives To investigate the associations of physical activity level with COVID-19 mortality risk across body mass index (BMI) categories, and to determine whether any protective association of a higher physical activity level in individuals with obesity may be explained by favourable levels of cardiometabolic and inflammatory biomarkers. Design Prospective cohort study (baseline data collected between 2006 and 2010). Physical activity level was assessed using the International Physical Activity Questionnaire (high: ≥3000 Metabolic Equivalent of Task (MET)-min/week, moderate: ≥600 MET-min/ week, low: not meeting either criteria), and biochemical assays were conducted on blood samples to provide biomarker data. Setting UK Biobank. Main outcome measures Logistic regressions adjusted for potential confounders were performed to determine the associations of exposure variables with COVID-19 mortality risk. Mortality from COVID-19 was ascertained by death certificates through linkage with National Health Service (NHS) Digital. Results Within the 259 397 included participants, 397 COVID-19 deaths occurred between 16 March 2020 and 27 February 2021. Compared with highly active individuals with a normal BMI (reference group), the ORs (95% CIs) for COVID-19 mortality were 1.61 (0.98 to 2.64) for highly active individuals with obesity, 2.85 (1.78 to 4.57) for lowly active individuals with obesity and 1.94 (1.04 to 3.61) for lowly active individuals with a normal BMI. Of the included biomarkers, neutrophil count and monocyte count were significantly positively associated with COVID-19 mortality risk. In a subanalysis restricted to individuals with obesity, adjusting for these biomarkers attenuated the higher COVID-19 mortality risk in lowly versus highly active individuals with obesity by 10%. Conclusions This study provides novel evidence suggesting that a high physical activity level may attenuate the COVID-19 mortality risk associated with obesity. Although the protective association may be partly explained by lower neutrophil and monocyte counts, it still remains largely unexplained by the biomarkers included in this analysis.
Competing interests None declared. Patient consent for publication Not required. Ethics approval UK Biobank obtained ethical approval from the North West Multi-Centre Research Ethics Committee (REC reference: 11/NW/03820). All participants gave written informed consent before enrolment in the study. Direct dissemination of the results to participants is not applicable. This study was performed under UK Biobank application number 70184. Provenance and peer review Not commissioned; externally peer reviewed. Data availability statement Data are available on reasonable request. Data may be obtained from a third party and are not publicly available. Supplemental material This content has been supplied by the author(s). It has not been vetted by BMJ Publishing Group Limited (BMJ) and may not have been peer-reviewed. Any opinions or recommendations discussed are solely those of the author(s) and are not endorsed by BMJ. BMJ disclaims all liability and responsibility arising from any reliance placed on the content. Where the content includes any translated material, BMJ does not warrant the accuracy and reliability of the translations (including but not limited to local regulations, clinical guidelines, terminology, drug names and drug dosages), and is not responsible for any error and/or omissions arising from translation and adaptation or otherwise. Open access This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC..
References
Alon, Sportiello, Kozlovski, Leukocyte trafficking to the lungs and beyond: lessons from influenza for COVID-19, Nat Rev Immunol, doi:10.1038/s41577-020-00470-2
Anderson, Konz, Frederich, Long-Term weightloss maintenance: a meta-analysis of US studies, Am J Clin Nutr, doi:10.1093/ajcn/74.5.579
Armstrong, Rudkin, Allen, Dynamic linkage of COVID-19 test results between Public Health England's Second Generation Surveillance System and UK Biobank, Microb Genom, doi:10.1099/mgen.0.000397
Batty, Gale, Kivimäki, Comparison of risk factor associations in UK Biobank against representative, general population based studies with conventional response rates: prospective cohort study and individual participant meta-analysis, BMJ, doi:10.1136/bmj.m131
Blair, Brodney, Effects of physical inactivity and obesity on morbidity and mortality: current evidence and research issues, Med Sci Sports Exerc, doi:10.1097/00005768-199911001-00025
Collins, What makes UK Biobank special?, Lancet, doi:10.1016/S0140-6736(12)60404-8
Craig, Marshall, Sjöström, International physical activity questionnaire: 12-country reliability and validity, Med Sci Sports Exerc, doi:10.1249/01.MSS.0000078924.61453.FB
Da Silveira, Da, Fagundes, Bizuti, Physical exercise as a tool to help the immune system against COVID-19: an integrative review of the current literature, Clin Exp Med, doi:10.1007/s10238-020-00650-3
De Almeida-Pititto, Dualib, Zajdenverg, Severity and mortality of COVID 19 in patients with diabetes, hypertension and cardiovascular disease: a meta-analysis, Diabetol Metab Syndr, doi:10.1186/s13098-020-00586-4
Fischer, Berntsen, Perstrup, Plasma levels of interleukin-6 and C-reactive protein are associated with physical inactivity independent of obesity, Scand J Med Sci Sports, doi:10.1111/j.1600-0838.2006.00602.x
Fry, Littlejohns, Sudlow, Comparison of sociodemographic and health-related characteristics of UK Biobank participants with those of the general population, Am J Epidemiol, doi:10.1093/aje/kwx246
Gleeson, Bishop, Stensel, The anti-inflammatory effects of exercise: mechanisms and implications for the prevention and treatment of disease, Nat Rev Immunol, doi:10.1038/nri3041
Hall, Laddu, Phillips, A tale of two pandemics: how will COVID-19 and global trends in physical inactivity and sedentary behavior affect one another?, Prog Cardiovasc Dis, doi:10.1016/j.pcad.2020.04.005
Hamer, Yates, Demakakos, Television viewing and risk of mortality: exploring the biological plausibility, Atherosclerosis, doi:10.1016/j.atherosclerosis.2017.06.024
Hojyo, Uchida, Tanaka, How COVID-19 induces cytokine storm with high mortality, Inflamm Regen, doi:10.1186/s41232-020-00146-3
Hu, Huang, Yin, The cytokine storm and COVID-19, J Med Virol, doi:10.1002/jmv.26232
Huang, Lu, Huang, Obesity in patients with COVID-19: a systematic review and meta-analysis, Metabolism, doi:10.1016/j.metabol.2020.154378
Ipaq, Guidelines for Data Processing and Analysis of the International Physical Activity Questionnaire (IPAQ)-Short and Long Forms
Johannsen, Priest, Dixit, Association of white blood cell subfraction concentration with fitness and fatness, Br J Sports Med, doi:10.1136/bjsm.2008.050682
Kolin, Kulm, Christos, Clinical, regional, and genetic characteristics of Covid-19 patients from UK Biobank, PLoS One, doi:10.1371/journal.pone.0241264
Lavie, Milani, Ventura, Obesity and cardiovascular disease: risk factor, paradox, and impact of weight loss, J Am Coll Cardiol, doi:10.1016/j.jacc.2008.12.068
Loprinzi, Smit, Lee, The "Fit but Fat" paradigm addressed using accelerometer-determined physical activity data, N Am J Med Sci, doi:10.4103/1947-2714.136901
Mauvais-Jarvis, Aging, male sex, obesity, and metabolic inflammation create the perfect storm for COVID-19, Diabetes, doi:10.2337/dbi19-0023
Mcauley, Chen, Lee, Physical activity, measures of obesity, and cardiometabolic risk: the multi-ethnic study of atherosclerosis (MESA), J Phys Act Health, doi:10.1123/jpah.2012-0068a
Michishita, Shono, Inoue, Effect of exercise therapy on monocyte and neutrophil counts in overweight women, Am J Med Sci, doi:10.1097/MAJ.0b013e3181c6a980
Milanović, Pantelić, Trajković, Age-Related decrease in physical activity and functional fitness among elderly men and women, Clin Interv Aging, doi:10.2147/CIA.S44112
Mora, Cook, Buring, Physical activity and reduced risk of cardiovascular events, Circulation, doi:10.1161/CIRCULATIONAHA.107.729939
Olds, Gomersall, Olds, A source of systematic bias in self-reported physical activity: the cutpoint bias hypothesis, J Sci Med Sport, doi:10.1016/j.jsams.2019.03.006
Parasher, COVID-19: current understanding of its pathophysiology, clinical presentation and treatment, Postgrad Med J, doi:10.1136/postgradmedj-2020-138577
Pietiläinen, Korkeila, Bogl, Inaccuracies in food and physical activity diaries of obese subjects: complementary evidence from doubly labeled water and co-twin assessments, Int J Obes, doi:10.1038/ijo.2009.251
Prompetchara, Ketloy, Palaga, Immune responses in COVID-19 and potential vaccines: lessons learned from SARS and MERS epidemic, Asian Pac J Allergy Immunol, doi:10.12932/AP-200220-0772
Sallis, Young, Tartof, Physical inactivity is associated with a higher risk for severe COVID-19 outcomes: a study in 48 440 adult patients, Br J Sports Med, doi:10.1136/bjsports-2021-104080
Slootmaker, Schuit, Chinapaw, Disagreement in physical activity assessed by accelerometer and self-report in subgroups of age, gender, education and weight status, Int J Behav Nutr Phys Act, doi:10.1186/1479-5868-6-17
Townsend, Phillimore, Beattie, Health and deprivation. inequality and the North*, Rev Cuba Hig Epidemiol
Verch, COVID-19 vaccines: the pandemic will not end overnight, Lancet Microbe, doi:10.1016/S2666-5247(20)30226-3
Wang, Baker, Quan, A preventive role of exercise across the coronavirus 2 (SARS-CoV-2) pandemic, Front Physiol, doi:10.3389/fphys.2020.572718
Willis, Shearer, Matthews, Association of physical activity and sedentary time with blood cell counts: National health and nutrition survey 2003-2006, PLoS One, doi:10.1371/journal.pone.0204277
Woods, Hutchinson, Powers, The COVID-19 pandemic and physical activity, Sports Med Health Sci, doi:10.1016/j.smhs.2020.05.006
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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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