Being Physically Active Leads to Better Recovery Prognosis for People Diagnosed with COVID-19: A Cross-Sectional Study
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Design
2.2. Sample, Inclusion and Exclusion Criteria
2.3. Data Collection
2.4. Procedures and Ethical Aspects
2.5. Questionnaire “Profile of the Person Diagnosed with COVID-19”
2.6. International Physical Activity Questionnaire (IPAQ) Short Version
2.7. Statistical Analysis
3. Results
4. Discussion
4.1. Main Findings of the Results
4.1.1. Frequency of Hospitalization
4.1.2. Hospitalization Days
4.1.3. Breathing Difficulty
4.1.4. Oxygen Support
4.1.5. Intubation
4.1.6. Death
4.2. Study Limitations
4.3. Strength of Evidence
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- World Health Organization. Considerations for Quarantine of Individuals in the Context of Containment for Coronavirus Disease (COVID-19): Interim Guidance, 19 March 2020; World Health Organization: Geneva, Switzerland, 2020. [Google Scholar]
- Prompetchara, E.; Ketloy, C.; Palaga, T. Immune responses in COVID-19 and potential vaccines: Lessons learned from SARS and MERS epidemic. Asian Pac. J. Allergy Immunol. 2020, 38, 1–9. [Google Scholar] [PubMed]
- Zheng, Y.F.; Wang, W.; Zhong, Y.X.; Wu, F.C.; Zhu, Z.T.; Tham, Y.C.; Lamoureux, E.; Xiao, L.; Zhu, E.; Liu, H.; et al. A Peer-to-Peer Live-Streaming Intervention for Children During COVID-19 Homeschooling to Promote Physical Activity and Reduce Anxiety and Eye Strain: Cluster Randomized Controlled Trial. J. Med. Internet Res. 2021, 23, e24316. [Google Scholar] [CrossRef]
- de Souza, F.R.; Motta-Santos, D.; Dos Santos, S.D.; de Lima, J.B.; Cardozo, G.G.; Guimarães, L.S.P.; Negrão, C.E.; dos Santosa, M.R. Association of physical activity levels and the prevalence of COVID-19-associated hospitalization. J. Sci. Med. Sport 2021, 24, 913–918. [Google Scholar] [CrossRef] [PubMed]
- Baqui, P.; Marra, V. Comparing COVID-19 risk factors in Brazil using machine learning: The importance of socioeconomic, demographic and structural factors. Sci. Rep. 2021, 11, 15591. [Google Scholar] [CrossRef]
- Lee, S.W.; Lee, J.; Moon, S.Y.; Jin, H.Y.; Yang, J.M.; Ogino, S.; Song, M.; Hong, S.H.; Ghayda, R.A.; Kronbichler, A.; et al. Physical activity and the risk of SARS-CoV-2 infection, severe COVID-19 illness and COVID-19 related mortality in South Korea: A nationwide cohort study. Br. J. Sports Med. 2021, 56, 901–912. [Google Scholar] [CrossRef]
- Halabchi, F.; Mazaheri, R.; Sabeti, K.; Yunesian, M.; Alizadeh, Z.; Ahmadinejad, Z.; Aghili, S.M.; Tavakol, Z. Regular Sports Participation as a Potential Predictor of Better Clinical Outcome in Adult Patients With COVID-19: A Large Cross-Sectional Study. J. Phys. Act. Health 2021, 18, 8–12. [Google Scholar] [CrossRef] [PubMed]
- Maltagliati, S.; Rebar, A.; Fessler, L.; Forestier, C.; Sarrazin, P.; Chalabaev, A.; Sander, D.; Sivaramakrishnan, H.; Orsholits, D.; Boisgontier, M.P.; et al. Evolution of physical activity habits after a context change: The case of COVID-19 lockdown. Br. J. Health Psychol. 2021, 26, 1135–1154. [Google Scholar] [CrossRef] [PubMed]
- Sallis, R.; Young, D.R.; Tartof, S.Y.; Sallis, J.F.; Sall, J.; Li, Q.; Smith, G.N.; A Cohen, D. Physical inactivity is associated with a higher risk for severe COVID-19 outcomes: A study in 48 440 adult patients. Br. J. Sport Med. 2021, 55, 1099–1105. [Google Scholar] [CrossRef]
- Maltagliati, S.; Sieber, S.; Sarrazin, P.; Cullati, S.; Chalabaev, A.; Millet, G.P.; Boisgontier, M.P.; Cheval, B. Muscle strength explains the protective effect of physical activity against COVID-19 hospitalization among adults aged 50 years and older. Int. J. Environ. Res. Public Health 2021, 39, 2796–2803. [Google Scholar] [CrossRef]
- Yuan, Q.L.; Huang, H.Y.; Chen, X.L.; Chen, R.H.; Zhang, Y.X.; Pan, X.B.; Chen, J.N.; Liu, N.; Du, H. Does pre-existent physical inactivity have a role in the severity of COVID-19? Ther. Adv. Respir. Dis. 2021, 15, 17534666211025221. [Google Scholar] [CrossRef]
- Chen, Y.; Osika, W.; Henriksson, G.; Dahlstrand, J.; Friberg, P. Impact of COVID-19 pandemic on mental health and health behaviors in Swedish adolescents. Scand. J. Public Health 2022, 50, 26–32. [Google Scholar] [CrossRef]
- Palaiodimos, L.; Kokkinidis, D.G.; Li, W.; Karamanis, D.; Ognibene, J.; Arora, S.; Southern, W.N.; Mantzoros, C.S. Severe obesity, increasing age and male sex are independently associated with worse in-hospital outcomes, and higher in-hospital mortality, in a cohort of patients with COVID-19 in the Bronx, New York. Metab. Clin. Exp. 2020, 108, 154262. [Google Scholar] [CrossRef]
- Li, S.; Hua, X. Modifiable lifestyle factors and severe COVID-19 risk: A Mendelian randomisation study. BMC Med. Genom. 2021, 14, 38. [Google Scholar] [CrossRef]
- Lee, I.M.; Shiroma, E.J.; Lobelo, F.; Puska, P.; Blair, S.N.; Katzmarzyk, P.T. Effect of physical inactivity on major non-communicable diseases worldwide: An analysis of burden of disease and life expectancy. Lancet 2012, 380, 219–229. [Google Scholar] [CrossRef] [Green Version]
- Salgado-Aranda, R.; Perez-Castellano, N.; Nunez-Gil, I.; Orozco, A.J.; Torres-Esquivel, N.; Flores-Soler, J.; Chamaisse-Akari, A.; Mclnerney, A.; Vergara-Uzcategui, C.; Wang, L.; et al. Influence of Baseline Physical Activity as a Modifying Factor on COVID-19 Mortality: A Single-Center, Retrospective Study. Infect. Dis. Ther. 2021, 10, 801–814. [Google Scholar] [CrossRef]
- Xiang, M.Q.; Tan, X.M.; Sun, J.; Yang, H.Y.; Zhao, X.P.; Liu, L.; Hou, X.-H.; Hu, M. Relationship of Physical Activity With Anxiety and Depression Symptoms in Chinese College Students During the COVID-19 Outbreak. Front. Psychol. 2020, 11, 582436. [Google Scholar] [CrossRef] [PubMed]
- Garg, S.; Kim, L.; Whitaker, M.; O’Halloran, A.; Cummings, C.; Holstein, R.; Prill, M.; Chai, S.J.; Kirley, P.D.; Alden, N.B.; et al. Hospitalization Rates and Characteristics of Patients Hospitalized with Laboratory-Confirmed Coronavirus Disease 2019—COVID-NET, 14 States, March 1–30, 2020. MMWR Morb. Mortal. Wkly. Rep. 2020, 69, 458–464. [Google Scholar] [CrossRef] [PubMed]
- Zhang, X.M.; Li, X.; Sun, Z.W.; He, Y.Z.; Xu, W.; Campbell, H.; Dunlop, M.G.; Timofeeva, M.; Theodoratou, E. Physical activity and COVID-19: An observational and Mendelian randomisation study. J. Glob. Health 2020, 10, 020514. [Google Scholar] [CrossRef] [PubMed]
- Hamer, M.; Kivimaki, M.; Gale, C.R.; Batty, G.D. 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, 184–187. [Google Scholar] [CrossRef]
- Yang, S.; Guo, B.; Ao, L.; Yang, C.; Zhang, L.; Zhou, J.; Jia, P. Obesity and activity patterns before and during COVID-19 lockdown among youths in China. Clin. Obes. 2020, 10, e12416. [Google Scholar] [CrossRef]
- Richardson, S.; Hirsch, J.S.; Narasimhan, M.; Crawford, J.M.; McGinn, T.; Davidson, K.W.; the Northwell COVID-19 Research Consortium. Presenting Characteristics, Comorbidities, and Outcomes Among 5700 Patients Hospitalized With COVID-19 in the New York City Area. JAMA 2020, 323, 2052–2059. [Google Scholar] [CrossRef] [PubMed]
- Zelle, D.M.; Klaassen, G.; Adrichem, E.; Bakker, S.J.; Corpeleijn, E.; Navis, G. Physical inactivity: A risk factor and target for intervention in renal care. Nat. Rev. Nephrol. 2017, 13, 152–168. [Google Scholar] [CrossRef] [PubMed]
- Nieman, D.C.; Wentz, L.M. The compelling link between physical activity and the body’s defense system. J. Sport Health Sci. 2019, 8, 201–217. [Google Scholar] [CrossRef] [PubMed]
- Simpson, R.J.; Kunz, H.; Agha, N.; Graff, R. Exercise and the Regulation of Immune Functions. Prog. Mol. Biol. Transl. Sci. 2015, 135, 355–380. [Google Scholar] [PubMed]
- Nieman, D.C. Coronavirus disease-2019: A tocsin to our aging, unfit, corpulent, and immunodeficient society. J. Sport Health Sci. 2020, 9, 293–301. [Google Scholar] [CrossRef] [PubMed]
- Cuschieri, S. The STROBE guidelines. Saudi J. Anaesth. 2019, 13, S31–S34. [Google Scholar] [CrossRef] [PubMed]
- Eysenbach, G. Improving the quality of Web surveys: The Checklist for Reporting Results of Internet E-Surveys (CHERRIES). J. Med. Internet Res. 2004, 6, e34. [Google Scholar] [CrossRef] [PubMed]
- Pasquali, L. Psicometria. Rev. Esc. Enferm. USP 2009, 43, 992–999. [Google Scholar] [CrossRef]
- Pasquali, L. Teoria dos Testes na Psicologia e na Educação; Editora Vozes Limitada: Belo Horizonte, Brazil, 2017. [Google Scholar]
- Craig, C.L.; Marshall, A.L.; Sjöström, M.; Bauman, A.E.; Booth, M.L.; Ainsworth, B.E.; Pratt, P.; Ekelund, U.; Yngve, A.; Sallis, J.F.; et al. International physical activity questionnaire: 12-country reliability and validity. Med. Sci. Sport. Exerc. 2003, 35, 1381–1395. [Google Scholar] [CrossRef] [Green Version]
- Ramos, A.; Gomide, E.; Alves, T.; Miguel, N.; Trape, A.; Sebastião, E.; dos Santos, A.P. Physical activity and sitting time in adults after positive diagnosis for COVID-19: A cross-sectional study. Rev. Bras. Ativ. Física Saúde 2022, 27, 1–10. [Google Scholar] [CrossRef]
- Kontopoulou, S.; Daniil, Z.; Gourgoulianis, K.I.; Kotsiou, O.S. Exercise Preferences and Benefits in Patients Hospitalized with COVID-19. J. Pers. Med. 2022, 12, 645. [Google Scholar] [CrossRef] [PubMed]
- Bigley, A.B.; Rezvani, K.; Pistillo, M.; Reed, J.; Agha, N.; Kunz, H.; O’Connor, D.P.; Sekine, T.; Bollard, C.M.; Simpson, R.J. Acute exercise preferentially redeploys NK-cells with a highly-differentiated phenotype and augments cytotoxicity against lymphoma and multiple myeloma target cells. Part II: Impact of latent cytomegalovirus infection and catecholamine sensitivity. BrainBehav. Immun. 2015, 49, 59–65. [Google Scholar] [CrossRef] [PubMed]
- Trabelsi, K.; Ammar, A.; Masmoudi, L.; Boukhris, O.; Chtourou, H.; Bouaziz, B.; Brach, M.; Bentlage, E.; How, D.; Ahmed, M.; et al. Sleep Quality and Physical Activity as Predictors of Mental Wellbeing Variance in Older Adults during COVID-19 Lockdown: ECLB COVID-19 International Online Survey. Int. J. Environ. Res. Public Health 2021, 18, 4329. [Google Scholar] [CrossRef]
- Furtado, G.E.; Letieri, R.V.; Caldo-Silva, A.; Sardão, V.A.; Teixeira, A.M.; de Barros, M.P.; Vieira, R.P.; Bachi, A.L.L. Sustaining efficient immune functions with regular physical exercise in the COVID-19 era and beyond. Eur. J. Clin. Investig. 2021, 51, e13485. [Google Scholar] [CrossRef]
- Leandro, C.G.; Ferreira, E.S.W.T.; Lima-Silva, A.E. Covid-19 and Exercise-Induced Immunomodulation. Neuroimmunomodulation 2020, 27, 75–78. [Google Scholar] [CrossRef] [PubMed]
- Woods, J.A.; Hutchinson, N.T.; Powers, S.K.; Roberts, W.O.; Gomez-Cabrera, M.C.; Radak, Z.; Berkes, I.; Boros, A.; Boldogh, I.; Leeuwenburgh, C.; et al. The COVID-19 pandemic and physical activity. Sport Med. Health Sci. 2020, 2, 55–64. [Google Scholar] [CrossRef] [PubMed]
- Samoylov, A.S.; Udalov, Y.; Nazaryan, S.E.; Naikina, A.V. Effect of physical activity level on the course of pneumonia caused by COVID-19. Med. Extrem. Situat. 2020, 3, 30–35. [Google Scholar]
- Antunes, E.L.; Costa, B.M.; Sochodolak, R.C.; Vargas, L.M.; Okuno, N.M. The influence of physical activity level on the length of stay in hospital in older men survivors of COVID-19. Sport Sci. Health 2022, 18, 1483–1490. [Google Scholar] [CrossRef] [PubMed]
- da Silveira, M.P. Physical exercise as a tool to help the immune system against COVID-19: An integrative review of the current literature. J. Sport Sci. 2021, 21, 15–28. [Google Scholar] [CrossRef]
- Zbinden-Foncea, H.; Francaux, M. Does High Cardiorespiratory Fitness Confer Some Protection Against Proinflammatory Responses After Infection by SARS-CoV-2? Obesity 2020, 28, 1378–1381. [Google Scholar] [CrossRef]
- Morley, J.E.; Kalantar-Zadeh, K.; Anker, S.D. COVID-19: A major cause of cachexia and sarcopenia? J. Cachexia Sarcopenia Muscle 2020, 11, 863–865. [Google Scholar] [CrossRef]
- Mistry, H.; Natesan, A. Impact of physical activity levels on length of hospital stay in patients with severe COVID ARDS. Int. J. Health Allied Sci. 2021, 10, 242. [Google Scholar]
- Ponsford, M.J.; Gkatzionis, A.; Walker, V.M.; Grant, A.J.; Wootton, R.E.; Moore, L.S.P.; Fatumo, S.; Mason, A.; Zuber, V.; Willer, C.; et al. Cardiometabolic Traits, Sepsis, and Severe COVID-19: A Mendelian Randomization Investigation. Circulation 2020, 142, 1791–1793. [Google Scholar] [CrossRef] [PubMed]
- Page, K.A.; Almansour, A.; Alagil, J.; Alamoudi, N.B.; Alamrie, R.M.; Alarifi, S.; AlUrifan, S.; Althunyan, A.; Alghumlas, A.; Alreedy, A.; et al. The Influence of Physical Activity on COVID-19 Prevention among Quarantined Individuals: A Case-Control Study. medRxiv 2022, 15, 271–280. [Google Scholar]
- Steenkamp, L.; Saggers, R.T. Small steps, strong shield: Directly measured, moderate physical activity in 65 361 adults is associated with significant protective effects from severe COVID-19 outcomes. Br. J. Sport Med. 2022, 56, 568–576. [Google Scholar] [CrossRef] [PubMed]
- Brasil Ministério da Saúde. Portaria MS/GM n. 188, de 3 de Fevereiro de. 2020. Available online: http://www.planalto.gov.br/ccivil_03/portaria/prt188-20-ms.html (accessed on 20 October 2022).
- Munnangi, S.; Boktor, S.W. Epidemiology of Study Design; StatPearls Publishing: Treasure Island, FL, USA, 2022. [Google Scholar]
- Cleland, C.; Ferguson, S.; Ellis, G.; Hunter, R.F. Validity of the International Physical Activity Questionnaire (IPAQ) for assessing moderate-to-vigorous physical activity and sedentary behaviour of older adults in the United Kingdom. BMC Med. Res. Methodol. 2018, 18, 176. [Google Scholar] [CrossRef] [Green Version]
- Matsudo, S.; Araújo, T.; Marsudo, V.; Andrade, D.; Andrade, E.; Braggion, G. Questinário internacional de atividade f1sica (IPAQ): Estudo de validade e reprodutibilidade no Brasil. Rev. Bras. Ativ. Fís. Saúde 2001, 8, 5–18. [Google Scholar]
- Latorre-Román, P.; Guzmán-Guzmán, I.P. Protective role of physical activity patterns prior to COVID-19 confinement with the severity/duration of respiratory pathologies consistent with COVID-19 symptoms in Spanish populations. Res. Sport Med. 2021, 1–12. [Google Scholar] [CrossRef]
- Gundogdu, N.; Demirguc, A.; Cicek, C.; Ergun, N. Evaluation of the relationship between the disease severity and the level of physical activity in patients followed up with COVID-19 diagnosis. Saudi Med. J. 2022, 43, 579–586. [Google Scholar] [CrossRef]
Variables and Personal Characteristics | Sedentary = 251 n (%) | Active = 258 n (%) | Total = 509 n (%) | |
---|---|---|---|---|
Sex | Male | 102 (40.6) | 96 (37.2) | 198 (38.9) |
Female | 149 (59.4) | 162 (62.8) | 311 (61.1) | |
Age grouping | 18 to 59 years old | 191 (76.1) | 206 (79.8) | 397 (78.0) |
60 years or older | 60 (23.9) | 52 (20.2) | 112 (22.0) | |
Family income | Up to 908.00 | 20 (8.0) | 45 (17.4) | 65 (12.8) |
Above 908.00 | 231 (92.0) | 213 (82.6) | 444 (87,2) | |
Level of education | Up to full medium | 162 (64.5) | 189 (73.3) | 351 (69.0) |
Higher and postgraduate | 89 (35.5) | 69 (26.7) | 158 (31.0) | |
BMI (kg/m2) | Normoponderal (up to 24.9 kg/m2) | 62 (24.7) | 82 (31.8) | 144 (28.3) |
Overweight or obesity (25 kg/m2 or more) | 189 (75.3) | 176 (68.2) | 365 (71.7) | |
Clinical outcomes | ||||
Hospitalization | Yes | 31 (12.4) | 15 (5.8) | 46 (9.0) |
No | 220 (87.6) | 243 (94.2) | 463 (91.0) | |
Hospitalization days | 0 to 5 days | 229 (91.2) | 247 (95.7) | 476 (93.5) |
6 days or more | 22 (8.8) | 11 (4.3) | 33 (6.5) | |
Breathing difficulty | Yes | 27 (10.8) | 13 (5.0) | 40 (7.9) |
No | 224 (89.2) | 245 (95.0) | 469 (92.1) | |
Oxygen support | Yes | 27 (10.8) | 13 (5.0) | 40 (7.9) |
No | 224 (89.2) | 245 (95.0) | 469 (92.1) | |
Intubation | Yes | 8 (3.2) | 2 (0.8) | 10 (2.0) |
No | 243 (96.8) | 256 (99.2) | 499 (98.0) | |
Intubation days | 0 to 5 days | 244 (97.2) | 256 (99.2) | 500 (98.2) |
6 days or more | 7 (2.8) | 2 (0.8) | 9 (1.8) | |
Death | Yes | 3 (1.2) | 2 (0.8) | 5 (1.0) |
No | 248 (98.8) | 256 (99.2) | 504 (99.0) |
Variables | Wald | Odds Ratio | Confidence Interval (95%) | p Value | ||
---|---|---|---|---|---|---|
Hospitalization | Sedentary/Active | 5.649 | 0.440 | 0.225 | 0.861 | 0.017 |
Age grouping | 18.271 | 4.148 | 2.160 | 7.964 | <0.001 | |
Family income | 0.205 | 0.810 | 0.325 | 2.017 | 0.651 | |
Level of education | 0.467 | 0.763 | 0.351 | 1.658 | 0.494 | |
BMI (kg.m2) | 1.130 | 1.556 | 0.689 | 3.516 | 0.288 | |
Hospitalization days | Sedentary/Active | 3.837 | 0.461 | 0.212 | 1.000 | 0.050 |
Age grouping | 12.256 | 0.262 | 0.124 | 0.554 | <0.001 | |
Family income | 0.925 | 1.626 | 0.604 | 4.381 | 0.336 | |
Level of education | 0.018 | 1.062 | 0.442 | 2.550 | 0.894 | |
BMI (kg.m2) | 0.662 | 0.679 | 0.268 | 1.724 | 0.416 | |
Breathing difficulty | Sedentary/Active | 4.934 | 0.444 | 0.217 | 0.909 | 0.026 |
Age grouping | 14.969 | 3.884 | 1.953 | 7.723 | <0.001 | |
Family income | 0.128 | 0.838 | 0.318 | 2.209 | 0.721 | |
Level of education | 0.823 | 0.676 | 0.290 | 1.575 | 0.364 | |
BMI (kg.m2) | 1.816 | 1.876 | 0.751 | 4.681 | 0.178 | |
Oxygen support | Sedentary/Active | 4.863 | 0.446 | 0.217 | 0.914 | 0.027 |
Age grouping | 17.673 | 4.394 | 2.204 | 8.762 | < 0.001 | |
Family income | 0.114 | 0.846 | 0.320 | 2.239 | 0.736 | |
Level of education | 0.696 | 0.697 | 0.298 | 1.628 | 0.404 | |
BMI (kg.m2) | 1.715 | 1.846 | 0.738 | 4.619 | 0.190 | |
Intubation | Sedentary/Active | 2.762 | 0.260 | 0.053 | 1.273 | 0.097 |
Age grouping | 4.973 | 4.568 | 1.202 | 17.356 | 0.026 | |
Family income | 0.035 | 1.226 | 0.143 | 10.485 | 0.853 | |
Level of education | 0.189 | 0.696 | 0.136 | 3.559 | 0.664 | |
BMI (kg.m2) | 0.807 | 2.620 | 0.321 | 21.412 | 0.369 | |
Intubation days | Sedentary/Active | 2.098 | 3.297 | 0.656 | 16.573 | 0.148 |
Age grouping | 6.289 | 0.154 | 0.036 | 0.665 | 0.012 | |
Family income | 0.011 | 0.891 | 0.102 | 7.784 | 0.917 | |
Level of education | 0.015 | 1.112 | 0.210 | 5.881 | 0.901 | |
BMI (kg.m2) | 0.546 | 0.450 | 0.054 | 3.743 | 0.460 | |
Death | Sedentary/Active | 2.098 | 3.297 | 0.656 | 16.573 | 0.148 |
Age grouping | 6.289 | 0.154 | 0.036 | 0.665 | 0.012 | |
Family income | 0.011 | 0.891 | 0.102 | 7.784 | 0.917 | |
Level of education | 0.015 | 1.112 | 0.210 | 5.881 | 0.901 | |
BMI (kg.m2) | 0.546 | 0.450 | 0.054 | 3.743 | 0.460 |
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Gomide, E.B.G.; Mazzonetto, L.F.; Cordeiro, J.F.C.; Cordeiro, D.C.; Oliveira, A.d.S.; Fioco, E.M.; Venturini, A.C.R.; Abdalla, P.P.; Da Silva, L.S.L.; Tasinafo Júnior, M.F.; et al. Being Physically Active Leads to Better Recovery Prognosis for People Diagnosed with COVID-19: A Cross-Sectional Study. Int. J. Environ. Res. Public Health 2022, 19, 14908. https://doi.org/10.3390/ijerph192214908
Gomide EBG, Mazzonetto LF, Cordeiro JFC, Cordeiro DC, Oliveira AdS, Fioco EM, Venturini ACR, Abdalla PP, Da Silva LSL, Tasinafo Júnior MF, et al. Being Physically Active Leads to Better Recovery Prognosis for People Diagnosed with COVID-19: A Cross-Sectional Study. International Journal of Environmental Research and Public Health. 2022; 19(22):14908. https://doi.org/10.3390/ijerph192214908
Chicago/Turabian StyleGomide, Euripedes Barsanulfo Gonçalves, Lisa Fernanda Mazzonetto, Jéssica Fernanda Corrêa Cordeiro, Daniella Corrêa Cordeiro, Alcivandro de Sousa Oliveira, Evandro Marianetti Fioco, Ana Claudia Rossini Venturini, Pedro Pugliesi Abdalla, Leonardo Santos Lopes Da Silva, Márcio Fernando Tasinafo Júnior, and et al. 2022. "Being Physically Active Leads to Better Recovery Prognosis for People Diagnosed with COVID-19: A Cross-Sectional Study" International Journal of Environmental Research and Public Health 19, no. 22: 14908. https://doi.org/10.3390/ijerph192214908
APA StyleGomide, E. B. G., Mazzonetto, L. F., Cordeiro, J. F. C., Cordeiro, D. C., Oliveira, A. d. S., Fioco, E. M., Venturini, A. C. R., Abdalla, P. P., Da Silva, L. S. L., Tasinafo Júnior, M. F., De Andrade, D., Bohn, L., Machado, D. R. L., & Dos Santos, A. P. (2022). Being Physically Active Leads to Better Recovery Prognosis for People Diagnosed with COVID-19: A Cross-Sectional Study. International Journal of Environmental Research and Public Health, 19(22), 14908. https://doi.org/10.3390/ijerph192214908