Analgesics
Antiandrogens
Antihistamines
Azvudine
Bromhexine
Budesonide
Colchicine
Conv. Plasma
Curcumin
Famotidine
Favipiravir
Fluvoxamine
Hydroxychlor..
Ivermectin
Lifestyle
Melatonin
Metformin
Minerals
Molnupiravir
Monoclonals
Naso/orophar..
Nigella Sativa
Nitazoxanide
PPIs
Paxlovid
Quercetin
Remdesivir
Thermotherapy
Vitamins
More

Other
Feedback
Home
Top
Results
Abstract
All exercise studies
Meta analysis
 
Feedback
Home
next
study
previous
study
c19early.org COVID-19 treatment researchExerciseExercise (more..)
Melatonin Meta
Metformin Meta
Antihistamines Meta
Azvudine Meta Molnupiravir Meta
Bromhexine Meta
Budesonide Meta
Colchicine Meta Nigella Sativa Meta
Conv. Plasma Meta Nitazoxanide Meta
Curcumin Meta PPIs Meta
Famotidine Meta Paxlovid Meta
Favipiravir Meta Quercetin Meta
Fluvoxamine Meta Remdesivir Meta
Hydroxychlor.. Meta Thermotherapy Meta
Ivermectin Meta

All Studies   Meta Analysis    Recent:   

Cardiorespiratory fitness and lifestyle on severe COVID-19 risk in 279,455 adults: a case control study

Ekblom-Bak et al., International Journal of Behavioral Nutrition and Physical Activity, doi:10.1186/s12966-021-01198-5
Oct 2021  
  Post
  Facebook
Share
  Source   PDF   All Studies   Meta AnalysisMeta
Severe case 48% Improvement Relative Risk Exercise for COVID-19  Ekblom-Bak et al.  Prophylaxis Does physical activity reduce risk for COVID-19? Retrospective study in Sweden Lower severe cases with higher activity levels (p=0.023) c19early.org Ekblom-Bak et al., Int. J. Behavioral .., Oct 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 67 studies.
No treatment is 100% effective. Protocols combine treatments. * >10% efficacy, ≥3 studies.
4,900+ studies for 102 treatments. c19early.org
Retrospective 857 severe COVID-19 cases and matched controls in Sweden, showing lower risk of severe COVID-19 with higher cardiorespiratory fitness.
risk of severe case, 47.6% lower, OR 0.52, p = 0.02, inverted to make OR<1 favor high activity levels, case control OR, model 3, high vs. very low CRF.
Effect extraction follows pre-specified rules prioritizing more serious outcomes. Submit updates
Ekblom-Bak et al., 19 Oct 2021, retrospective, Sweden, peer-reviewed, 13 authors.
This PaperExerciseAll
Cardiorespiratory fitness and lifestyle on severe COVID-19 risk in 279,455 adults: a case control study
Elin Ekblom-Bak, Daniel Väisänen, Björn Ekblom, Victoria Blom, Lena V Kallings, Erik Hemmingsson, Gunnar Andersson, Peter Wallin, Jane Salier Eriksson, Tobias Holmlund, Magnus Lindwall, Andreas Stenling, Amanda Lönn
International Journal of Behavioral Nutrition and Physical Activity, doi:10.1186/s12966-021-01198-5
Background: The impact of cardiorespiratory fitness (CRF) and other lifestyle-related factors on severe COVID-19 risk is understudied. The present study aims to investigate lifestyle-related and socioeconomic factors as possible predictors of COVID-19, with special focus on CRF, and to further study whether these factors may attenuate obesity-and hypertension-related risks, as well as mediate associations between socioeconomic factors and severe COVID-19 risk. Methods: Out of initially 407,131 participants who participated in nationwide occupational health service screening between 1992 and 2020, n = 857 cases (70% men, mean age 49.9 years) of severe COVID-19 were identified. CRF was estimated using a sub-maximum cycle test, and other lifestyle variables were self-reported. Analyses were performed including both unmatched, n = 278,598, and sex-and age-matched, n = 3426, controls. Severe COVID-19 included hospitalization, intensive care or death due to COVID-19. Results: Patients with more severe COVID-19 had significantly lower CRF, higher BMI, a greater presence of comorbidities and were more often daily smokers. In matched analyses, there was a graded decrease in odds for severe COVID-19 with each ml in CRF (OR = 0.98, 95% CI 0.970 to 0.998), and a two-fold increase in odds between the lowest and highest (< 32 vs. ≥ 46 ml•min −1 •kg −1 ) CRF group. Higher BMI (per unit increase, OR = 1.09, 1.06 to 1.12), larger waist circumference (per cm, OR = 1.04, 1.02 to 1.06), daily smoking (OR = 0.60, 0.41 to 0.89) and high overall stress (OR = 1.36, 1.001 to 1.84) also remained significantly associated with severe COVID-19 risk. Obesity-and blood pressure-related risks were attenuated by adjustment for CRF and lifestyle variables. Mediation through CRF, BMI and smoking accounted for 9% to 54% of the associations between low education, low income and blue collar/low skilled occupations and severe COVID-19 risk. The results were consistent using either matched or unmatched controls. Conclusions: Both lifestyle-related and socioeconomic factors were associated with risk of severe COVID-19. However, higher CRF attenuated the risk associated with obesity and high blood pressure, and mediated the risk associated with various socioeconomic factors. This emphasises the importance of interventions to maintain or increase CRF in the general population to strengthen the resilience to severe COVID-19, especially in high-risk individuals.
Table 5 Indirect effects of socioeconomic factors on severe COVID-19 in matched analyses Adjusted for sex, age, year HPA was performed, civil status, country of birth, and number of previous diseases as confounders of the exposure-mediator, exposureoutcome, and mediator-outcome relation a Smoking was coded as a binary variable (0 = never/seldom, 1 = daily smoker) ab Indirect effect, HPD CI Highest posterior density credibility interval, BMI Body mass index, CRF Cardiorespiratory fitness, Q Quartile, WCHS White-collar high-skilled, WCLS White-collar low-skilled, BCLS Blue-collar low-skilled, BCHS Blue-collar high-skilled Supplementary Information The online version contains supplementary material available at https:// doi. org/ 10. 1186/ s12966-021-01198-5. Additional file 1: Authors' information Not applicable. Authors' contributions EEB, AL, VB, LVK, BE, GA, PW contributed to the conception or design of the work. EEB, AL, DV, EH, JSE, ML, AS, TH contributed to the acquisition, analysis, or interpretation of data for the work. EEB, AL, VB, LVK, BE, EH drafted the manuscript. DV, GA, PW, JSE, ML, AS, TH revised it critically for important intellectual content. All authors critically revised the manuscript, gave final approval, and agreed to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. The corresponding author, EEB, is the manuscripts..
References
Ahmad, Erqou, Shah, Nazir, Morrison et al., Association of poor housing conditions with COVID-19 incidence and mortality across US counties, PloS one
Ainsworth, Cahalin, Buman, Ross, The current state of physical activity assessment tools, Prog Cardiovasc Dis
Astrand, Aerobic work capacity in men and women with special reference to age, Acta Physiol Scand Suppl
Batty, Deary, Luciano, Altschul, Kivimäki et al., Psychosocial factors and hospitalisations for COVID-19: prospective cohort study based on a community sample, Brain Behav Immun
Bergman, Ballin, Nordström, Nordström, Risk factors for COVID-19 diagnosis, hospitalization, and subsequent allcause mortality in Sweden: a nationwide study, Eur J Epidemiol
Bhaskaran, Bacon, Evans, Bates, Rentsch et al., Factors associated with deaths due to COVID-19 versus other causes: population-based cohort analysis of UK primary care data and linked national death registrations within the OpenSAFELY platform, The Lancet Regional Health, doi:10.1016/j.lanepe.2021.100109
Björkman, Ekblom-Bak, Ekblom, Ekblom, Validity of the revised Ekblom Bak cycle ergometer test in adults, Eur J Appl Physiol
Blom, Lonn, Ekblom, Kallings, Vaisanen et al., Lifestyle Habits and Mental Health in Light of the Two COVID-19 Pandemic Waves in Sweden, 2020, Int J Environ Res Public Health
Brawner, Ehrman, Bole, Kerrigan, Parikh et al., Inverse relationship of maximal exercise capacity to hospitalization secondary to coronavirus disease 2019, Mayo Clin Proc
Carter, Gill, Davies, Taylor, Tillmann et al., Understanding the consequences of education inequality on cardiovascular disease: mendelian randomisation study, Bmj
Chastin, Abaraogu, Bourgois, Dall, Darnborough et al., Effects of Regular Physical Activity on the Immune System, Vaccination and Risk of Community-Acquired Infectious Disease in the General Population: Systematic Review and Meta-Analysis, Sports Med
Ekblom, Ekblom-Bak, Bolam, Ekblom, Schmidt et al., Concurrent and predictive validity of physical activity measurement items commonly used in clinical settings-data from SCAPIS pilot study, BMC Public Health
Ekblom-Bak, Ekblom, Andersson, Wallin, Soderling et al., Decline in cardiorespiratory fitness in the Swedish working force between 1995 and 2017, Scand J Med Sci Sports
Ekblom-Bak, Ekblom, Soderling, Borjesson, Blom et al., Sex-and age-specific associations between cardiorespiratory fitness, CVD morbidity and all-cause mortality in 266.109 adults, Prev Med
Fang, Li, Yu, Wang, Zhang et al., Epidemiological, comorbidity factors with severity and prognosis of COVID-19: a systematic review and meta-analysis, Aging
Farsalinos, Ba, Niaura, Smoking, vaping and hospitalization for COVID-19, doi:10.32388/Z69O8A.13
Gao, Piernas, Astbury, Hippisley-Cox, 'rahilly et al., Associations between body-mass index and COVID-19 severity in 6•9 million people in England: a prospective, community-based, cohort study, Lancet Diab Endocrinol
Geijerstam, Mehlig, Borjesson, Robertson, Nyberg et al., Fitness, strength and severity of COVID-19: a prospective register study of 1 559 187 Swedish conscripts, BMJ Open
Hamer, Gale, Kivimäki, Batty, Overweight, obesity, and risk of hospitalization for COVID-19: A community-based cohort study of adults in the United Kingdom, Proc Natl Acad Sci
Hamer, Kivimäki, Gale, Batty, Lifestyle risk factors, inflammatory mechanisms, and COVID-19 hospitalization: a communitybased cohort study of 387,109 adults in UK, Brain Behav Immun
Hemmingsson, Ekblom, Kallings, Andersson, Wallin et al., Prevalence and time trends of overweight, obesity and severe obesity in 447,925 Swedish adults, 1995-2017, Scand J Public Health
Huang, Lu, Huang, Wang, Ling et al., Obesity in patients with COVID-19: a systematic review and meta-analysis, Metabolism
Jakobsson, Malm, Furberg, Ekelund, Svensson, Physical activity during the coronavirus (covid-19) pandemic: prevention of a decline in metabolic and immunological functions, Front Sports Act Living
Kraus, Powell, Haskell, Janz, Campbell et al., Physical activity, all-cause and cardiovascular mortality, and cardiovascular disease, Med Sci Sports Exerc
Lamoureux, Fitzgerald, Norton, Sabato, Tremblay et al., Temporal trends in the cardiorespiratory fitness of 2,525,827 adults between 1967 and 2016: a systematic review, Sports Med
Lavie, Carbone, Kachur, Oʼkeefe, Elagizi, Effects of physical activity, exercise, and fitness on obesity-related morbidity and mortality, Curr Sports Med Rep
Li, Huang, Zou, Yang, Hui et al., Epidemiology of COVID-19: A systematic review and meta-analysis of clinical characteristics, risk factors, and outcomes, J Med Virol
Lüdecke, ggeffects: Tidy Data Frames of Marginal Effects from Regression Models, The Journal of Open Source Software, doi:10.21105/joss.00772
Mackinnon, Introduction to statistical mediation analysis
Mehta, Mcauley, Brown, Sanchez, Tattersall et al., COVID-19: consider cytokine storm syndromes and immunosuppression, Lancet
Miocevic, Mackinnon, Levy, Power in Bayesian Mediation Analysis for Small Sample Research, Struct Equ Modeling
Munnangi, Boktor, Epidemiology Of Study Design
Muthén, Muthén, Mplus User's Guide
Nejatinamini, Godley, Minaker, Sajobi, Mccormack et al., Quantifying the contribution of modifiable risk factors to socio-economic inequities in cancer morbidity and mortality: a nationally representative population-based cohort study, Int J Epidemiol, doi:10.1093/ije/dyab067
Nieman, Pence, Exercise immunology: Future directions, J Sport Health Sci
Nigro, Polito, Alfieri, Mancini, Imperlini et al., Molecular mechanisms involved in the positive effects of physical activity on coping with COVID-19, Eur J Appl Physiol
Olsson, Ekblom, Andersson, Borjesson, Kallings, Categorical answer modes provide superior validity to open answers when asking for level of physical activity: A cross-sectional study, Scandinavian journal of public health
Popkin, Du, Green, Beck, Algaith et al., Individuals with obesity and COVID-19: A global perspective on the epidemiology and biological relationships
Pranata, Lim, Huang, Raharjo, Lukito, Hypertension is associated with increased mortality and severity of disease in COVID-19 pneumonia: A systematic review, meta-analysis and meta-regression, J Renin Angiotensin Aldosterone Syst
Ramos-Casals, Brito-Zeron, Systemic and organ-specific immune-related manifestations of COVID-19, Nat Rev Rheumatol
Sallis, Young, Tartof, Sallis, Sall et al., Physical inactivity is associated with a higher risk for severe COVID-19 outcomes: a study in 48 440 adult patients, Published Online First, doi:10.1136/bjsports-2021-104080
Sanchez-Lastra, Ding, Dalene, Ekelund, Tarp, Physical activity and mortality across levels of adiposity: a prospective cohort study from the UK Biobank, Mayo Clin Proc
Väisänen, Kallings, Andersson, Wallin, Hemmingsson et al., Lifestyle-associated health risk indicators across a wide range of occupational groups: a cross-sectional analysis in 72,855 workers, BMC Public Health
Wickham, Averick, Bryan, Mcgown, Francois, Welcome to the Tidyverse, The Journal of Open Source Software, doi:10.21105/joss.01686
Williamson, Walker, Bhaskaran, Bacon, Bates et al., Factors associated with COVID-19-related death using Open-SAFELY, Nature
Yuan, Mackinnon, Bayesian mediation analysis, Psychol Methods
Zbinden-Foncea, Francaux, Deldicque, Hawley, Does high cardiorespiratory fitness confer some protection against proinflammatory responses after infection by SARS-CoV-2? Obesity (Silver Spring, Md)
{ 'indexed': {'date-parts': [[2022, 4, 4]], 'date-time': '2022-04-04T20:42:17Z', 'timestamp': 1649104937092}, 'reference-count': 49, 'publisher': 'Springer Science and Business Media LLC', 'issue': '1', 'license': [ { 'start': { 'date-parts': [[2021, 10, 19]], 'date-time': '2021-10-19T00:00:00Z', 'timestamp': 1634601600000}, 'content-version': 'tdm', 'delay-in-days': 0, 'URL': 'https://creativecommons.org/licenses/by/4.0'}, { 'start': { 'date-parts': [[2021, 10, 19]], 'date-time': '2021-10-19T00:00:00Z', 'timestamp': 1634601600000}, 'content-version': 'vor', 'delay-in-days': 0, 'URL': 'https://creativecommons.org/licenses/by/4.0'}], 'funder': [ { 'DOI': '10.13039/501100003793', 'name': 'Hjärt-Lungfonden', 'doi-asserted-by': 'publisher', 'award': ['20200564']}, { 'DOI': '10.13039/501100009238', 'name': 'Försvarsmakten', 'doi-asserted-by': 'publisher', 'award': ['AF9220915']}, { 'DOI': '10.13039/501100004359', 'name': 'Vetenskapsrådet', 'doi-asserted-by': 'publisher', 'award': ['2017-00273']}], 'content-domain': {'domain': ['link.springer.com'], 'crossmark-restriction': False}, 'short-container-title': ['Int J Behav Nutr Phys Act'], 'published-print': {'date-parts': [[2021, 12]]}, 'abstract': '<jats:title>Abstract</jats:title><jats:sec>\n' ' <jats:title>Background</jats:title>\n' ' <jats:p>The impact of cardiorespiratory fitness (CRF) and other ' 'lifestyle-related factors on severe COVID-19 risk is understudied. The present study aims to ' 'investigate lifestyle-related and socioeconomic factors as possible predictors of COVID-19, ' 'with special focus on CRF, and to further study whether these factors may attenuate obesity- ' 'and hypertension-related risks, as well as mediate associations between socioeconomic factors ' 'and severe COVID-19 risk.</jats:p>\n' ' </jats:sec><jats:sec>\n' ' <jats:title>Methods</jats:title>\n' ' <jats:p>Out of initially 407,131 participants who participated in nationwide ' 'occupational health service screening between 1992 and 2020, ' '<jats:italic>n</jats:italic>\u2009=\u2009857 cases (70% men, mean age 49.9\xa0years) of ' 'severe COVID-19 were identified. CRF was estimated using a sub-maximum cycle test, and other ' 'lifestyle variables were self-reported. Analyses were performed including both unmatched, ' '<jats:italic>n</jats:italic>\u2009=\u2009278,598, and sex-and age-matched, ' '<jats:italic>n</jats:italic>\u2009=\u20093426, controls. Severe COVID-19 included ' 'hospitalization, intensive care or death due to COVID-19.</jats:p>\n' ' </jats:sec><jats:sec>\n' ' <jats:title>Results</jats:title>\n' ' <jats:p>Patients with more severe COVID-19 had significantly lower CRF, ' 'higher BMI, a greater presence of comorbidities and were more often daily smokers. In matched ' 'analyses, there was a graded decrease in odds for severe COVID-19 with each ml in CRF ' '(OR\u2009=\u20090.98, 95% CI 0.970 to 0.998), and a two-fold increase in odds between the ' 'lowest and highest (&lt;\u200932 vs.\u2009≥\u200946\xa0' 'ml·min<jats:sup>−1</jats:sup>·kg<jats:sup>−1</jats:sup>) CRF group. Higher BMI (per unit ' 'increase, OR\u2009=\u20091.09, 1.06 to 1.12), larger waist circumference (per cm, OR\u2009' '=\u20091.04, 1.02 to 1.06), daily smoking (OR\u2009=\u20090.60, 0.41 to 0.89) and high ' 'overall stress (OR\u2009=\u20091.36, 1.001 to 1.84) also remained significantly associated ' 'with severe COVID-19 risk. Obesity- and blood pressure-related risks were attenuated by ' 'adjustment for CRF and lifestyle variables. Mediation through CRF, BMI and smoking accounted ' 'for 9% to 54% of the associations between low education, low income and blue collar/low ' 'skilled occupations and severe COVID-19 risk. The results were consistent using either ' 'matched or unmatched controls.</jats:p>\n' ' </jats:sec><jats:sec>\n' ' <jats:title>Conclusions</jats:title>\n' ' <jats:p>Both lifestyle-related and socioeconomic factors were associated with ' 'risk of severe COVID-19. However, higher CRF attenuated the risk associated with obesity and ' 'high blood pressure, and mediated the risk associated with various socioeconomic factors. ' 'This emphasises the importance of interventions to maintain or increase CRF in the general ' 'population to strengthen the resilience to severe COVID-19, especially in high-risk ' 'individuals.</jats:p>\n' ' </jats:sec>', 'DOI': '10.1186/s12966-021-01198-5', 'type': 'journal-article', 'created': { 'date-parts': [[2021, 10, 19]], 'date-time': '2021-10-19T10:12:28Z', 'timestamp': 1634638348000}, 'update-policy': 'http://dx.doi.org/10.1007/springer_crossmark_policy', 'source': 'Crossref', 'is-referenced-by-count': 2, 'title': [ 'Cardiorespiratory fitness and lifestyle on severe COVID-19 risk in 279,455 adults: a case ' 'control study'], 'prefix': '10.1186', 'volume': '18', 'author': [ { 'ORCID': 'http://orcid.org/0000-0002-3901-7833', 'authenticated-orcid': False, 'given': 'Elin', 'family': 'Ekblom-Bak', 'sequence': 'first', 'affiliation': []}, {'given': 'Daniel', 'family': 'Väisänen', 'sequence': 'additional', 'affiliation': []}, {'given': 'Björn', 'family': 'Ekblom', 'sequence': 'additional', 'affiliation': []}, {'given': 'Victoria', 'family': 'Blom', 'sequence': 'additional', 'affiliation': []}, {'given': 'Lena V.', 'family': 'Kallings', 'sequence': 'additional', 'affiliation': []}, {'given': 'Erik', 'family': 'Hemmingsson', 'sequence': 'additional', 'affiliation': []}, {'given': 'Gunnar', 'family': 'Andersson', 'sequence': 'additional', 'affiliation': []}, {'given': 'Peter', 'family': 'Wallin', 'sequence': 'additional', 'affiliation': []}, {'given': 'Jane', 'family': 'Salier Eriksson', 'sequence': 'additional', 'affiliation': []}, {'given': 'Tobias', 'family': 'Holmlund', 'sequence': 'additional', 'affiliation': []}, {'given': 'Magnus', 'family': 'Lindwall', 'sequence': 'additional', 'affiliation': []}, {'given': 'Andreas', 'family': 'Stenling', 'sequence': 'additional', 'affiliation': []}, {'given': 'Amanda', 'family': 'Lönn', 'sequence': 'additional', 'affiliation': []}], 'member': '297', 'published-online': {'date-parts': [[2021, 10, 19]]}, 'reference': [ { 'key': '1198_CR1', 'doi-asserted-by': 'crossref', 'unstructured': 'Ramos-Casals M, Brito-Zeron P, Mariette X. Systemic and organ-specific ' 'immune-related manifestations of COVID-19. Nat Rev Rheumatol. ' '2021;17(6):315–32.', 'DOI': '10.1038/s41584-021-00608-z'}, { 'issue': '3', 'key': '1198_CR2', 'doi-asserted-by': 'publisher', 'first-page': '287', 'DOI': '10.1007/s10654-021-00732-w', 'volume': '36', 'author': 'J Bergman', 'year': '2021', 'unstructured': 'Bergman J, Ballin M, Nordström A, Nordström P. Risk factors for COVID-19 ' 'diagnosis, hospitalization, and subsequent all-cause mortality in ' 'Sweden: a nationwide study. Eur J Epidemiol. 2021;36(3):287–98.', 'journal-title': 'Eur J Epidemiol'}, { 'issue': '3', 'key': '1198_CR3', 'doi-asserted-by': 'publisher', 'first-page': '1449', 'DOI': '10.1002/jmv.26424', 'volume': '93', 'author': 'J Li', 'year': '2021', 'unstructured': 'Li J, Huang DQ, Zou B, Yang H, Hui WZ, Rui F, et al. Epidemiology of ' 'COVID-19: A systematic review and meta-analysis of clinical ' 'characteristics, risk factors, and outcomes. J Med Virol. ' '2021;93(3):1449–58.', 'journal-title': 'J Med Virol'}, { 'issue': '7821', 'key': '1198_CR4', 'doi-asserted-by': 'publisher', 'first-page': '430', 'DOI': '10.1038/s41586-020-2521-4', 'volume': '584', 'author': 'EJ Williamson', 'year': '2020', 'unstructured': 'Williamson EJ, Walker AJ, Bhaskaran K, Bacon S, Bates C, Morton CE, et ' 'al. Factors associated with COVID-19-related death using OpenSAFELY. ' 'Nature. 2020;584(7821):430–6.', 'journal-title': 'Nature'}, { 'issue': '35', 'key': '1198_CR5', 'doi-asserted-by': 'publisher', 'first-page': '21011', 'DOI': '10.1073/pnas.2011086117', 'volume': '117', 'author': 'M Hamer', 'year': '2020', 'unstructured': 'Hamer M, Gale CR, Kivimäki M, Batty GD. Overweight, obesity, and risk of ' 'hospitalization for COVID-19: A community-based cohort study of adults ' 'in the United Kingdom. Proc Natl Acad Sci USA. 2020;117(35):21011–3.', 'journal-title': 'Proc Natl Acad Sci USA'}, { 'key': '1198_CR6', 'doi-asserted-by': 'publisher', 'first-page': '154378', 'DOI': '10.1016/j.metabol.2020.154378', 'volume': '113', 'author': 'Y Huang', 'year': '2020', 'unstructured': 'Huang Y, Lu Y, Huang YM, Wang M, Ling W, Sui Y, et al. Obesity in ' 'patients with COVID-19: a systematic review and meta-analysis. ' 'Metabolism. 2020;113:154378.', 'journal-title': 'Metabolism'}, { 'issue': '13', 'key': '1198_CR7', 'doi-asserted-by': 'publisher', 'first-page': '12493', 'DOI': '10.18632/aging.103579', 'volume': '12', 'author': 'X Fang', 'year': '2020', 'unstructured': 'Fang X, Li S, Yu H, Wang P, Zhang Y, Chen Z, et al. Epidemiological, ' 'comorbidity factors with severity and prognosis of COVID-19: a ' 'systematic review and meta-analysis. Aging. 2020;12(13):12493–503.', 'journal-title': 'Aging'}, { 'key': '1198_CR8', 'doi-asserted-by': 'crossref', 'unstructured': "Gao M, Piernas C, Astbury NM, Hippisley-Cox J, O'Rahilly S, Aveyard P, " 'et al. Associations between body-mass index and COVID-19 severity in 6·9 ' 'million people in England: a prospective, community-based, cohort study. ' 'Lancet Diab Endocrinol. 2021;9(6):350–9.', 'DOI': '10.1016/S2213-8587(21)00089-9'}, { 'key': '1198_CR9', 'doi-asserted-by': 'publisher', 'first-page': '184', 'DOI': '10.1016/j.bbi.2020.05.059', 'volume': '87', 'author': 'M Hamer', 'year': '2020', 'unstructured': 'Hamer M, Kivimäki M, Gale CR, Batty GD. Lifestyle risk factors, ' 'inflammatory mechanisms, and COVID-19 hospitalization: a community-based ' 'cohort study of 387,109 adults in UK. Brain Behav Immun. 2020;87:184–7.', 'journal-title': 'Brain Behav Immun'}, { 'key': '1198_CR10', 'doi-asserted-by': 'publisher', 'unstructured': 'Sallis R, Young DR, Tartof SY, Sallis JF, Sall J, Li Q, et al. Physical ' 'inactivity is associated with a higher risk for severe COVID-19 ' 'outcomes: a study in 48 440 adult patients. Br J Sports Med. 2021. ' 'Published Online First: 13 April 2021. ' 'https://doi.org/10.1136/bjsports-2021-104080.', 'DOI': '10.1136/bjsports-2021-104080'}, { 'issue': '1', 'key': '1198_CR11', 'doi-asserted-by': 'publisher', 'first-page': '32', 'DOI': '10.1016/j.mayocp.2020.10.003', 'volume': '96', 'author': 'CA Brawner', 'year': '2021', 'unstructured': 'Brawner CA, Ehrman JK, Bole S, Kerrigan DJ, Parikh SS, Lewis BK, et al. ' 'Inverse relationship of maximal exercise capacity to hospitalization ' 'secondary to coronavirus disease 2019. Mayo Clin Proc. 2021;96(1):32–9.', 'journal-title': 'Mayo Clin Proc'}, { 'issue': '8', 'key': '1198_CR12', 'doi-asserted-by': 'publisher', 'first-page': '1378', 'DOI': '10.1002/oby.22849', 'volume': '28', 'author': 'H Zbinden-Foncea', 'year': '2020', 'unstructured': 'Zbinden-Foncea H, Francaux M, Deldicque L, Hawley JA. Does high ' 'cardiorespiratory fitness confer some protection against proinflammatory ' 'responses after infection by SARS-CoV-2? Obesity (Silver Spring, Md). ' '2020;28(8):1378–81.', 'journal-title': 'Obesity (Silver Spring, Md)'}, { 'key': '1198_CR13', 'doi-asserted-by': 'publisher', 'first-page': '57', 'DOI': '10.3389/fspor.2020.00057', 'volume': '2', 'author': 'J Jakobsson', 'year': '2020', 'unstructured': 'Jakobsson J, Malm C, Furberg M, Ekelund U, Svensson M. Physical activity ' 'during the coronavirus (covid-19) pandemic: prevention of a decline in ' 'metabolic and immunological functions. Front Sports Act Living. ' '2020;2:57.', 'journal-title': 'Front Sports Act Living'}, { 'issue': '6', 'key': '1198_CR14', 'doi-asserted-by': 'publisher', 'first-page': '1270', 'DOI': '10.1249/MSS.0000000000001939', 'volume': '51', 'author': 'WE Kraus', 'year': '2019', 'unstructured': 'Kraus WE, Powell KE, Haskell WL, Janz KF, Campbell WW, Jakicic JM, et ' 'al. Physical activity, all-cause and cardiovascular mortality, and ' 'cardiovascular disease. Med Sci Sports Exerc. 2019;51(6):1270–81.', 'journal-title': 'Med Sci Sports Exerc'}, { 'issue': '2', 'key': '1198_CR15', 'doi-asserted-by': 'publisher', 'first-page': '147032032092689', 'DOI': '10.1177/1470320320926899', 'volume': '21', 'author': 'R Pranata', 'year': '2020', 'unstructured': 'Pranata R, Lim MA, Huang I, Raharjo SB, Lukito AA. Hypertension is ' 'associated with increased mortality and severity of disease in COVID-19 ' 'pneumonia: A systematic review, meta-analysis and meta-regression. J ' 'Renin Angiotensin Aldosterone Syst. 2020;21(2):1470320320926899.', 'journal-title': 'J Renin Angiotensin Aldosterone Syst'}, { 'issue': '12', 'key': '1198_CR16', 'doi-asserted-by': 'publisher', 'first-page': '2569', 'DOI': '10.1007/s00421-020-04484-5', 'volume': '120', 'author': 'E Nigro', 'year': '2020', 'unstructured': 'Nigro E, Polito R, Alfieri A, Mancini A, Imperlini E, Elce A, et al. ' 'Molecular mechanisms involved in the positive effects of physical ' 'activity on coping with COVID-19. Eur J Appl Physiol. ' '2020;120(12):2569–82.', 'journal-title': 'Eur J Appl Physiol'}, { 'key': '1198_CR17', 'doi-asserted-by': 'publisher', 'first-page': '569', 'DOI': '10.1016/j.bbi.2020.06.021', 'volume': '89', 'author': 'GD Batty', 'year': '2020', 'unstructured': 'Batty GD, Deary IJ, Luciano M, Altschul DM, Kivimäki M, Gale CR. ' 'Psychosocial factors and hospitalisations for COVID-19: prospective ' 'cohort study based on a community sample. Brain Behav Immun. ' '2020;89:569–78.', 'journal-title': 'Brain Behav Immun'}, { 'issue': '11', 'key': '1198_CR18', 'doi-asserted-by': 'publisher', 'first-page': 'e0241327', 'DOI': '10.1371/journal.pone.0241327', 'volume': '15', 'author': 'K Ahmad', 'year': '2020', 'unstructured': 'Ahmad K, Erqou S, Shah N, Nazir U, Morrison AR, Choudhary G, et al. ' 'Association of poor housing conditions with COVID-19 incidence and ' 'mortality across US counties. PloS one. 2020;15(11):e0241327.', 'journal-title': 'PloS one.'}, { 'key': '1198_CR19', 'doi-asserted-by': 'publisher', 'first-page': 'l1855', 'DOI': '10.1136/bmj.l1855', 'volume': '365', 'author': 'AR Carter', 'year': '2019', 'unstructured': 'Carter AR, Gill D, Davies NM, Taylor AE, Tillmann T, Vaucher J, et al. ' 'Understanding the consequences of education inequality on cardiovascular ' 'disease: mendelian randomisation study. Bmj. 2019;365:l1855.', 'journal-title': 'Bmj.'}, { 'key': '1198_CR20', 'doi-asserted-by': 'publisher', 'unstructured': 'Nejatinamini S, Godley J, Minaker LM, Sajobi TT, McCormack GR, Cooke MJ, ' 'et al. Quantifying the contribution of modifiable risk factors to ' 'socio-economic inequities in cancer morbidity and mortality: a ' 'nationally representative population-based cohort study. Int J ' 'Epidemiol. 2021. Online first. https://doi.org/10.1093/ije/dyab067.', 'DOI': '10.1093/ije/dyab067'}, { 'issue': '169', 'key': '1198_CR21', 'first-page': '1', 'volume': '49', 'author': 'I Astrand', 'year': '1960', 'unstructured': 'Astrand I. Aerobic work capacity in men and women with special reference ' 'to age. Acta Physiol Scand Suppl. 1960;49(169):1–92.', 'journal-title': 'Acta Physiol Scand Suppl'}, { 'issue': '9', 'key': '1198_CR22', 'doi-asserted-by': 'publisher', 'first-page': '1627', 'DOI': '10.1007/s00421-016-3412-0', 'volume': '116', 'author': 'F Björkman', 'year': '2016', 'unstructured': 'Björkman F, Ekblom-Bak E, Ekblom Ö, Ekblom B. Validity of the revised ' 'Ekblom Bak cycle ergometer test in adults. Eur J Appl Physiol. ' '2016;116(9):1627–38.', 'journal-title': 'Eur J Appl Physiol'}, { 'key': '1198_CR23', 'unstructured': 'Stastistics Sweden. Standard för svensk yrkesklassificering (SSYK) ' '[Standard for Swedish occupational classification (SSYK)]. (In Swedish) ' '[cited 2020 May 18]. [Available from: ' 'http://www.scb.se/dokumentation/klassifikationer-och-standarder/standard-for-svenskyrkesklassificering-ssyk/.'}, { 'issue': '1', 'key': '1198_CR24', 'doi-asserted-by': 'publisher', 'first-page': '1656', 'DOI': '10.1186/s12889-020-09755-6', 'volume': '20', 'author': 'D Väisänen', 'year': '2020', 'unstructured': 'Väisänen D, Kallings LV, Andersson G, Wallin P, Hemmingsson E, ' 'Ekblom-Bak E. Lifestyle-associated health risk indicators across a wide ' 'range of occupational groups: a cross-sectional analysis in 72,855 ' 'workers. BMC Public Health. 2020;20(1):1656.', 'journal-title': 'BMC Public Health'}, { 'key': '1198_CR25', 'unstructured': 'World Health Organization. Waist circumference and waist-hip ratio: ' 'report of a WHO expert consultation. Geneva. December 2008;8–11:2011.'}, { 'key': '1198_CR26', 'doi-asserted-by': 'publisher', 'unstructured': 'Wickham H, Averick M, Bryan J, Chang W, McGown L, Francois R, et al. ' 'Welcome to the Tidyverse. The Journal of Open Source Software. ' '2019;https://doi.org/10.21105/joss.01686.', 'DOI': '10.21105/joss.01686'}, { 'key': '1198_CR27', 'doi-asserted-by': 'publisher', 'unstructured': 'Lüdecke D. ggeffects: Tidy Data Frames of Marginal Effects from ' 'Regression Models. The Journal of Open Source Software. ' '2018;https://doi.org/10.21105/joss.00772.', 'DOI': '10.21105/joss.00772'}, { 'key': '1198_CR28', 'unstructured': 'Muthén LK, Muthén BO. Mplus User’s Guide. 8th ed. Los Angeles: Muthén & ' 'Muthén. 1998–2017.'}, { 'key': '1198_CR29', 'unstructured': 'MacKinnon DP. Introduction to statistical mediation analysis. 1st ed. ' 'New York: Taylor & Francis Group; 2008.'}, { 'issue': '5', 'key': '1198_CR30', 'doi-asserted-by': 'publisher', 'first-page': '666', 'DOI': '10.1080/10705511.2017.1312407', 'volume': '24', 'author': 'M Miocevic', 'year': '2017', 'unstructured': 'Miocevic M, MacKinnon DP, Levy R. Power in Bayesian Mediation Analysis ' 'for Small Sample Research. Struct Equ Modeling. 2017;24(5):666–83.', 'journal-title': 'Struct Equ Modeling'}, { 'issue': '4', 'key': '1198_CR31', 'doi-asserted-by': 'publisher', 'first-page': '301', 'DOI': '10.1037/a0016972', 'volume': '14', 'author': 'Y Yuan', 'year': '2009', 'unstructured': 'Yuan Y, MacKinnon DP. Bayesian mediation analysis. Psychol Methods. ' '2009;14(4):301–22.', 'journal-title': 'Psychol Methods'}, { 'key': '1198_CR32', 'doi-asserted-by': 'publisher', 'first-page': '978', 'DOI': '10.1186/s12889-015-2316-y', 'volume': '15', 'author': 'O Ekblom', 'year': '2015', 'unstructured': 'Ekblom O, Ekblom-Bak E, Bolam KA, Ekblom B, Schmidt C, Soderberg S, et ' 'al. Concurrent and predictive validity of physical activity measurement ' 'items commonly used in clinical settings–data from SCAPIS pilot study. ' 'BMC Public Health. 2015;15:978.', 'journal-title': 'BMC Public Health'}, { 'key': '1198_CR33', 'doi-asserted-by': 'publisher', 'first-page': '105799', 'DOI': '10.1016/j.ypmed.2019.105799', 'volume': '127', 'author': 'E Ekblom-Bak', 'year': '2019', 'unstructured': 'Ekblom-Bak E, Ekblom B, Soderling J, Borjesson M, Blom V, Kallings LV, ' 'et al. Sex- and age-specific associations between cardiorespiratory ' 'fitness, CVD morbidity and all-cause mortality in 266.109 adults. Prev ' 'Med. 2019;127:105799.', 'journal-title': 'Prev Med'}, { 'issue': '7', 'key': '1198_CR34', 'doi-asserted-by': 'publisher', 'first-page': 'e051316', 'DOI': '10.1136/bmjopen-2021-051316', 'volume': '11', 'author': 'A Af Geijerstam', 'year': '2021', 'unstructured': 'Af Geijerstam A, Mehlig K, Borjesson M, Robertson J, Nyberg J, Adiels M, ' 'et al. Fitness, strength and severity of COVID-19: a prospective ' 'register study of 1 559 187 Swedish conscripts. BMJ Open. ' '2021;11(7):e051316.', 'journal-title': 'BMJ Open.'}, { 'key': '1198_CR35', 'doi-asserted-by': 'publisher', 'unstructured': 'Farsalinos K. BA, Niaura R. Smoking, vaping and hospitalization for ' 'COVID-19. Qeios. 2020. https://doi.org/10.32388/Z69O8A.13.', 'DOI': '10.32388/Z69O8A.13'}, { 'key': '1198_CR36', 'doi-asserted-by': 'crossref', 'unstructured': 'Popkin BM, Du S, Green WD, Beck MA, Algaith T, Herbst CH, et al. ' 'Individuals with obesity and COVID-19: A global perspective on the ' 'epidemiology and biological relationships. Obesity reviews\u202f: an ' 'official journal of the International Association for the Study of ' 'Obesity. 2020;21(11):e13128.', 'DOI': '10.1111/obr.13128'}, { 'key': '1198_CR37', 'doi-asserted-by': 'publisher', 'unstructured': 'Bhaskaran K, Bacon SCJ, Evans SJW, Bates CJ, Rentsch CT, MacKenna B, et ' 'al. Factors associated with deaths due to COVID-19 versus other causes: ' 'population-based cohort analysis of UK primary care data and linked ' 'national death registrations within the OpenSAFELY platform. The Lancet ' 'Regional Health. 2021;6:https://doi.org/10.1016/j.lanepe.2021.100109.', 'DOI': '10.1016/j.lanepe.2021.100109'}, { 'issue': '8', 'key': '1198_CR38', 'doi-asserted-by': 'publisher', 'first-page': '292', 'DOI': '10.1249/JSR.0000000000000623', 'volume': '18', 'author': 'CJ Lavie', 'year': '2019', 'unstructured': 'Lavie CJ, Carbone S, Kachur S, OʼKeefe EL, Elagizi A. Effects of ' 'physical activity, exercise, and fitness on obesity-related morbidity ' 'and mortality. Curr Sports Med Rep. 2019;18(8):292–8.', 'journal-title': 'Curr Sports Med Rep'}, { 'issue': '1', 'key': '1198_CR39', 'doi-asserted-by': 'publisher', 'first-page': '105', 'DOI': '10.1016/j.mayocp.2020.06.049', 'volume': '96', 'author': 'MA Sanchez-Lastra', 'year': '2021', 'unstructured': 'Sanchez-Lastra MA, Ding D, Dalene KE, Ekelund U, Tarp J. Physical ' 'activity and mortality across levels of adiposity: a prospective cohort ' 'study from the UK Biobank. Mayo Clin Proc. 2021;96(1):105–19.', 'journal-title': 'Mayo Clin Proc'}, { 'key': '1198_CR40', 'doi-asserted-by': 'crossref', 'unstructured': 'Chastin SFM, Abaraogu U, Bourgois JG, Dall PM, Darnborough J, Duncan E, ' 'et al. Effects of Regular Physical Activity on the Immune System, ' 'Vaccination and Risk of Community-Acquired Infectious Disease in the ' 'General Population: Systematic Review and Meta-Analysis. Sports Med ' '(Auckland, NZ). 2021:51(8):1673–86.', 'DOI': '10.1007/s40279-021-01466-1'}, { 'issue': '10229', 'key': '1198_CR41', 'doi-asserted-by': 'publisher', 'first-page': '1033', 'DOI': '10.1016/S0140-6736(20)30628-0', 'volume': '395', 'author': 'P Mehta', 'year': '2020', 'unstructured': 'Mehta P, McAuley DF, Brown M, Sanchez E, Tattersall RS, Manson JJ, et ' 'al. COVID-19: consider cytokine storm syndromes and immunosuppression. ' 'Lancet. 2020;395(10229):1033–4.', 'journal-title': 'Lancet'}, { 'issue': '5', 'key': '1198_CR42', 'doi-asserted-by': 'publisher', 'first-page': '432', 'DOI': '10.1016/j.jshs.2019.12.003', 'volume': '9', 'author': 'DC Nieman', 'year': '2020', 'unstructured': 'Nieman DC, Pence BD. Exercise immunology: Future directions. J Sport ' 'Health Sci. 2020;9(5):432–45.', 'journal-title': 'J Sport Health Sci'}, { 'issue': '6', 'key': '1198_CR43', 'doi-asserted-by': 'publisher', 'first-page': '3313', 'DOI': '10.3390/ijerph18063313', 'volume': '18', 'author': 'V Blom', 'year': '2021', 'unstructured': 'Blom V, Lonn A, Ekblom B, Kallings LV, Vaisanen D, Hemmingsson E, et al. ' 'Lifestyle Habits and Mental Health in Light of the Two COVID-19 Pandemic ' 'Waves in Sweden, 2020. Int J Environ Res Public Health. 2021;18(6):3313.', 'journal-title': 'Int J Environ Res Public Health.'}, { 'key': '1198_CR44', 'unstructured': 'Munnangi S, Boktor SW. Epidemiology Of Study Design. 1st ed. Treasure ' 'Island: StatPearls Publishing; 2021.'}, { 'issue': '4', 'key': '1198_CR45', 'doi-asserted-by': 'publisher', 'first-page': '387', 'DOI': '10.1016/j.pcad.2014.10.005', 'volume': '57', 'author': 'B Ainsworth', 'year': '2015', 'unstructured': 'Ainsworth B, Cahalin L, Buman M, Ross R. The current state of physical ' 'activity assessment tools. Prog Cardiovasc Dis. 2015;57(4):387–95.', 'journal-title': 'Prog Cardiovasc Dis'}, { 'issue': '1', 'key': '1198_CR46', 'doi-asserted-by': 'publisher', 'first-page': '70', 'DOI': '10.1177/1403494815602830', 'volume': '44', 'author': 'SJ Olsson', 'year': '2016', 'unstructured': 'Olsson SJ, Ekblom O, Andersson E, Borjesson M, Kallings LV. Categorical ' 'answer modes provide superior validity to open answers when asking for ' 'level of physical activity: A cross-sectional study. Scandinavian ' 'journal of public health. 2016;44(1):70–6.', 'journal-title': 'Scandinavian journal of public health'}, { 'issue': '2', 'key': '1198_CR47', 'doi-asserted-by': 'publisher', 'first-page': '232', 'DOI': '10.1111/sms.13328', 'volume': '29', 'author': 'E Ekblom-Bak', 'year': '2019', 'unstructured': 'Ekblom-Bak E, Ekblom O, Andersson G, Wallin P, Soderling J, Hemmingsson ' 'E, et al. Decline in cardiorespiratory fitness in the Swedish working ' 'force between 1995 and 2017. Scand J Med Sci Sports. 2019;29(2):232–9.', 'journal-title': 'Scand J Med Sci Sports'}, { 'issue': '1', 'key': '1198_CR48', 'doi-asserted-by': 'publisher', 'first-page': '41', 'DOI': '10.1007/s40279-018-1017-y', 'volume': '49', 'author': 'NR Lamoureux', 'year': '2019', 'unstructured': 'Lamoureux NR, Fitzgerald JS, Norton KI, Sabato T, Tremblay MS, Tomkinson ' 'GR. Temporal trends in the cardiorespiratory fitness of 2,525,827 adults ' 'between 1967 and 2016: a systematic review. Sports Med. ' '2019;49(1):41–55.', 'journal-title': 'Sports Med'}, { 'issue': '4', 'key': '1198_CR49', 'doi-asserted-by': 'publisher', 'first-page': '377', 'DOI': '10.1177/1403494820914802', 'volume': '49', 'author': 'E Hemmingsson', 'year': '2021', 'unstructured': 'Hemmingsson E, Ekblom O, Kallings LV, Andersson G, Wallin P, Soderling ' 'J, et al. Prevalence and time trends of overweight, obesity and severe ' 'obesity in 447,925 Swedish adults, 1995–2017. Scand J Public Health. ' '2021;49(4):377–83.', 'journal-title': 'Scand J Public Health'}], 'container-title': ['International Journal of Behavioral Nutrition and Physical Activity'], 'original-title': [], 'language': 'en', 'link': [ { 'URL': 'https://link.springer.com/content/pdf/10.1186/s12966-021-01198-5.pdf', 'content-type': 'application/pdf', 'content-version': 'vor', 'intended-application': 'text-mining'}, { 'URL': 'https://link.springer.com/article/10.1186/s12966-021-01198-5/fulltext.html', 'content-type': 'text/html', 'content-version': 'vor', 'intended-application': 'text-mining'}, { 'URL': 'https://link.springer.com/content/pdf/10.1186/s12966-021-01198-5.pdf', 'content-type': 'application/pdf', 'content-version': 'vor', 'intended-application': 'similarity-checking'}], 'deposited': { 'date-parts': [[2021, 10, 19]], 'date-time': '2021-10-19T10:24:55Z', 'timestamp': 1634639095000}, 'score': 1, 'resource': {'primary': {'URL': 'https://ijbnpa.biomedcentral.com/articles/10.1186/s12966-021-01198-5'}}, 'subtitle': [], 'short-title': [], 'issued': {'date-parts': [[2021, 10, 19]]}, 'references-count': 49, 'journal-issue': {'issue': '1', 'published-print': {'date-parts': [[2021, 12]]}}, 'alternative-id': ['1198'], 'URL': 'http://dx.doi.org/10.1186/s12966-021-01198-5', 'relation': {}, 'ISSN': ['1479-5868'], 'issn-type': [{'value': '1479-5868', 'type': 'electronic'}], 'subject': [ 'Nutrition and Dietetics', 'Physical Therapy, Sports Therapy and Rehabilitation', 'Medicine (miscellaneous)'], 'published': {'date-parts': [[2021, 10, 19]]}, 'assertion': [ { 'value': '1 June 2021', 'order': 1, 'name': 'received', 'label': 'Received', 'group': {'name': 'ArticleHistory', 'label': 'Article History'}}, { 'value': '2 September 2021', 'order': 2, 'name': 'accepted', 'label': 'Accepted', 'group': {'name': 'ArticleHistory', 'label': 'Article History'}}, { 'value': '19 October 2021', 'order': 3, 'name': 'first_online', 'label': 'First Online', 'group': {'name': 'ArticleHistory', 'label': 'Article History'}}, {'order': 1, 'name': 'Ethics', 'group': {'name': 'EthicsHeading', 'label': 'Declarations'}}, { 'value': 'The protocols used were approved by the institutional review boards of the ' 'institutions involved in this study and all participants provided informed ' 'consent prior to data collection. The study was approved by the Stockholm ' 'Ethics Review Board (Dnr 2020–02727), and adhered to the Declaration of ' 'Helsinki.', 'order': 2, 'name': 'Ethics', 'group': {'name': 'EthicsHeading', 'label': 'Ethics approval and consent to participate'}}, { 'value': 'Not applicable.', 'order': 3, 'name': 'Ethics', 'group': {'name': 'EthicsHeading', 'label': 'Consent for publication'}}, { 'value': 'Author GA (responsible for research and method) and PW (CEO and responsible for ' 'research and method) are employed by HPI Health Profile Institute. The ' 'remaining authors declare that they have no competing interests.', 'order': 4, 'name': 'Ethics', 'group': {'name': 'EthicsHeading', 'label': 'Competing interests'}}], 'article-number': '135'}
Loading..
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.
  or use drag and drop   
Submit