Impact of Multi-Professional Intervention on Health-Related Physical Fitness and Biomarkers in Overweight COVID-19 Survivors for 8 and 16 Weeks: A Non-Randomized Clinical Trial
Abstract
:1. Introduction
2. Materials and Methods
2.1. Experimental Approach to the Problem
2.2. Study Participants
2.3. Medical Clearance
2.4. Procedures
2.5. Biochemical Analyses
2.6. Physical Fitness
2.6.1. Health-Related Physical Fitness Tests
Flexibility Assessment
Maximal Isometric Strength Tests (MIHS and MILTS)
Dynamic Muscle Strength–Endurance Assessment
Cardiorespiratory Fitness Test
2.7. Multi-Professional Intervention
2.7.1. Food Re-Education Protocol
2.7.2. Psychoeducation Protocol
2.7.3. Physical Exercise Protocol
2.8. Statistical Analysis
3. Results
3.1. Anthropometric and Body Composition Measurements
3.2. Health-Related Physical Fitness Tests Responses
3.3. Biochemical Parameters
4. Discussion
5. Conclusions
6. Practical Applications
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Centers for Disease Control and Prevention (CDC). Post-COVID Conditions: An Overview for Healthcare Providers. Available online: https://archive.cdc.gov/#/details?archive_url=https://archive.cdc.gov/www_cdc_gov/coronavirus/2019-ncov/hcp/clinical-care/post-covid-science.html (accessed on 18 May 2024).
- De Miranda, D.A.P.; Gomes, S.V.C.; Filgueiras, P.S.; Corsini, C.A.; Almeida, N.B.F.; Silva, R.A.; Medeiros, M.I.V.A.R.C.; Vilela, R.V.R.; Fernandes, G.R.; Grenfell, R.F.Q. Long COVID-19 syndrome: A 14-months longitudinal study during the two first epidemic peaks in Southeast Brazil. Trans. R. Soc. Trop. Med. Hyg. 2022, 116, 1007–1014. [Google Scholar] [CrossRef]
- Mainous, A.G., 3rd; Rooks, B.J.; Wu, V.; Orlando, F.A. COVID-19 Post-acute Sequelae Among Adults: 12 Month Mortality Risk. Front. Med. 2021, 8, 778434. [Google Scholar] [CrossRef]
- Landi, F.; Barillaro, C.; Bellieni, A.; Brandi, V.; Carfì, A.; D’Angelo, M.; Fusco, D.; Landi, G.; Lo Monaco, R.; Martone, A.M.; et al. The New Challenge of Geriatrics: Saving Frail Older People from the SARS-COV-2 Pandemic Infection. J. Nutr. Health Aging 2020, 24, 466–470. [Google Scholar] [CrossRef]
- Sordi, A.F.; Lemos, M.M.; De Souza Marques, D.C.; Ryal, J.J.; Priscila de Paula Silva Lalucci, M.; Marques, M.G.; Amaro Camilo, M.L.; De Paula Ramos, S.; Franzói De Moraes, S.M.; Valdés-Badilla, P.; et al. Effects of a multi-professional intervention on body composition, physical fitness and biochemical markers in overweight COVID-19 survivors: A clinical trial. Front. Physiol. 2023, 14, 1219252. [Google Scholar] [CrossRef]
- Perli, V.A.S.; Sordi, A.F.; Lemos, M.M.; Fernandes, J.S.A.; Capucho, V.B.N.; Silva, B.F.; De Paula Ramos, S.; Valdés-Badilla, P.; Mota, J.; Branco, B.H.M. Body composition and cardiorespiratory fitness of overweight COVID-19 survivors in different severity degrees: A cohort study. Sci. Rep. 2023, 13, 17615. [Google Scholar] [CrossRef]
- Lemos, M.M.; Cavalini, G.R.; Pugliese Henrique, C.R.; Perli, V.A.S.; De Moraes Marchiori, G.; Marchiori, L.L.M.; Sordi, A.F.; Franzói de Moraes, S.M.; De Paula Ramos, S.; Valdés-Badilla, P.; et al. Body composition and cardiorespiratory fitness in overweight or obese people post COVID-19: A comparative study. Front. Physiol. 2022, 13, 949351. [Google Scholar] [CrossRef]
- Ryal, J.J.; Perli, V.A.S.; Marques, D.C.S.; Sordi, A.F.; Marques, M.G.S.; Camilo, M.L.; Milani, R.G.; Mota, J.; Valdés-Badilla, P.; Magnani Branco, B.H. Effects of a Multi-Professional Intervention on Mental Health of Middle-Aged Overweight Survivors of COVID-19: A Clinical Trial. Int. J. Environ. Res. Public Health 2023, 20, 4132. [Google Scholar] [CrossRef]
- Pranata, R.; Lim, M.A.; Yonas, E.; Vania, R.; Lukito, A.A.; Siswanto, B.B.; Meyer, M. Body mass index and outcome in patients with COVID-19: A dose-response meta-analysis. Diabetes Metab. 2021, 47, 101178. [Google Scholar] [CrossRef]
- Maffetone, P.B.; Laursen, P.B. The Perfect Storm: Coronavirus (COVID-19) Pandemic Meets Overfat Pandemic. Front. Public Health 2020, 8, 135. [Google Scholar] [CrossRef]
- Rottoli, M.; Bernante, P.; Belvedere, A.; Balsamo, F.; Garelli, S.; Giannella, M.; Cascavilla, A.; Tedeschi, S.; Ianniruberto, S.; Rosselli Del Turco, E.; et al. How important is obesity as a risk factor for respiratory failure, intensive care admission and death in hospitalised COVID-19 patients? Results from a single Italian centre. Eur. J. Endocrinol. 2020, 183, 389–397. [Google Scholar] [CrossRef]
- Gao, F.; Zheng, K.I.; Wang, X.B.; Sun, Q.F.; Pan, K.H.; Wang, T.Y.; Chen, Y.P.; Targher, G.; Byrne, C.D.; George, J.; et al. Obesity Is a Risk Factor for Greater COVID-19 Severity. Diabetes Care. 2020, 43, e72–e74. [Google Scholar] [CrossRef] [PubMed]
- Dalbosco-Salas, M.; Torres-Castro, R.; Rojas Leyton, A.; Morales Zapata, F.; Henríquez Salazar, E.; Espinoza Bastías, G.; Beltran Diaz, M.E.; Tapia Allers, K.; Mornhinweg Fonseca, D.; Vilaro, J. Effectiveness of a primary care telerehabilitation program for post-COVID-19 patients: A feasibility study. J. Clin. Med. 2021, 10, 4428. [Google Scholar] [CrossRef] [PubMed]
- Jimeno-Almazán, A.; Buendía-Romero, Á.; Martínez-Cava, A.; Franco-López, F.; Sánchez-Alcaraz, B.J.; Courel-Ibáñez, J.; Pallarés, J.G. Effects of a concurrent training, respiratory muscle exercise, and self-management recommendations on recovery from post-COVID-19 conditions: The RECOVE trial. J. Appl. Physiol. 2023, 134, 95–104. [Google Scholar] [CrossRef] [PubMed]
- Barroso, W.K.S.; Rodrigues, C.I.S.; Bortolotto, L.A.; Mota-Gomes, M.A.; Brandão, A.A.; Feitosa, A.D.d.M.; Machado, C.A.; Poli-de-Figueiredo, C.E.; Amodeo, C.; Júnior, D.M.; et al. VIII Guideline on Arterial Hypertension—2020. Arq. Bras. Cardiol. 2021, 116, 516–658. [Google Scholar] [CrossRef]
- World Health Organization (WHO). COVID-19 Clinical Management: Living Guidance; WHO: Geneva, Switzerland, 2023; pp. 1–116. [Google Scholar]
- Schulz, K.F.; Altman, D.G.; Moher, D.; CONSORT Group. CONSORT 2010 statement: Updated guidelines for reporting parallel group randomized trials. BMJ 2012, 340, c332. [Google Scholar] [CrossRef]
- Jensen, M.D.; Ryan, D.H.; Apovian, C.M.; Ard, J.D.; Comuzzie, A.G.; Donato, K.A.; Hu, F.B.; Hubbard, V.S.; Jakicic, J.M.; Kushner, R.F.; et al. 2013 AHA/ACC/TOS Guideline for the Management of Overweight and Obesity in Adults: A report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines and the Obesity Society. Circulation 2014, 129 (Suppl. S2), S102–S138. [Google Scholar] [CrossRef]
- Heyward, V. ASEP Methods recommendation: Body composition assessment. J. Exerc. Physiol. Online. 2001, 4, 1–12. [Google Scholar]
- Miller, R.M.; Chambers, T.L.; Burns, S.P. Validating InBody® 570 Multi-frequency Bioelectrical Impedance Analyzer versus DXA for Body Fat Percentage Analysis. J. Exerc. Physiol. Online 2016, 19, 71–78. [Google Scholar] [CrossRef]
- Branco, B.H.M.; Bernuci, M.P.; Marques, D.C.; Carvalho, I.Z.; Barrero, C.A.L.; De Oliveira, F.M.; Ladeia, G.F.; Júnior, N.N. Proposal of a normative table for body fat percentages of Brazilian young adults through bioimpedanciometry. J. Exerc. Rehabil. 2018, 14, 974–979. [Google Scholar] [CrossRef]
- Clinical and Laboratory Standards Institute (CLSI). Interference Testing in Clinical Chemistry. In Approved Guideline, 2nd ed.; CLSI document EP7-A2; Clinical and Laboratory Standards Institute: Wayne, PA, USA, 2005; pp. 1–12. [Google Scholar]
- Wells, K.F.; Dillon, E.K. The sit and reach—A test of back and leg flexibility. Res. Q. Am. Assoc. Health Phys. Educ. Recreat. 1952, 23, 115–118. [Google Scholar] [CrossRef]
- Branco, B.H.M.; Andreato, L.V.; Ribeiro, E.D.; De Oliveira, H.G.; Almeida, F.N.; Nardo Junior, N. Correction to: Development of tables for classifying judo athletes according to maximal isometric strength and muscular power, and comparisons between athletes at different competitive levels. Sport Sci. Health. 2021, 17, 265–266. [Google Scholar] [CrossRef]
- Jones, C.J.; Rikli, R.E.; Beam, W.C. A 30-s chair-stand test as a measure of lower body strength in community-residing older adults. Res. Q. Exerc. Sport. 1999, 70, 113–119. [Google Scholar] [CrossRef]
- Cuenca-Garcia, M.; Marin-Jimenez, N.; Perez-Bey, A.; Sánchez-Oliva, D.; Camiletti-Moiron, D.; Alvarez-Gallardo, I.C.; Ortega, F.B.; Castro-Piñero, J. Reliability of field-based fitness tests in adults: A systematic review. Sports Med. 2022, 52, 1961–1979. [Google Scholar] [CrossRef]
- ATS Committee on Proficiency Standards for Clinical Pulmonary Function Laboratories. ATS statement: Guidelines for the six-minute walk test. Am. J. Respir. Crit. Care Med. 2002, 166, 111–117. [Google Scholar] [CrossRef]
- Cahalin, L.P.; Mathier, M.A.; Semigran, M.J.; Dec, G.W.; DiSalvo, T.G. The six-minute walk test predicts peak oxygen uptake and survival in patients with advanced heart failure. Chest 1996, 110, 325–332. [Google Scholar] [CrossRef]
- Brazil. Food Guide for the Brazilian Population (Portuguese); Ministry of Health, Department of Primary Health Care: Brasília, Brazil, 2014; pp. 1–158. [Google Scholar]
- Authier, J. The psychoeducation model: Definition, contemporary roots and content. Can. Couns. 1997, 12, 15–22. [Google Scholar]
- Beck, J.S. Cognitive-Behavioral Therapy: Theory and Practice (Portuguese), 2nd ed.; Artmed: Porto Alegre, Portugal, 2013; pp. 1–384. [Google Scholar]
- Mccrorie, A.; Donnelly, C.; Mcglade, K. Infographics: Healthcare Communication for the Digital Age. Ulst. Med. J. 2016, 85, 71–75. [Google Scholar]
- De Oliveira, D.A.; Lessa, R.S.; Ribeiro, S.C.S.; De Vasconcelos, P.F. The Visual Practice: The Infographic as a Facilitating Tool for Learning in Medical School. Rev. Bras. Educ. Med. 2020, 44, e109. [Google Scholar] [CrossRef]
- McGuigan, M.R.; Foster, C. A New Approach to Monitoring Resistance Training. Strength Cond. J. 2004, 26, 42–47. [Google Scholar] [CrossRef]
- Pedersen, B.K.; Saltin, B. Exercise as medicine—Evidence for prescribing exercise as therapy in 26 different chronic diseases. Scan J. Med. Sci. Sports 2015, 25, 1–72. [Google Scholar] [CrossRef]
- Richardson, J.T. Eta squared and partial eta squared as measures of effect size in educational research. Educ. Res. Rev. 2011, 6, 135–147. [Google Scholar] [CrossRef]
- Cohen, J. Statistical Power for the Social Sciences, 2nd ed.; Laurence Erlbaum and Associates: Hillsdale, NJ, USA, 1988; pp. 1–400. [Google Scholar]
- Queiroz, C.O.; Conceição, A.F.; Aristides, P.R.S.; Alves, L.S.; Almeida, R.T. Physical Activity, Obesity, and COVID-19: What can we Expect from his Relationship? Int. J. Cardiovasc. Sci. 2022, 35, 123–126. [Google Scholar] [CrossRef]
- Núñez-Seisdedos, M.N.; Lázaro-Navas, I.; López-González, L.; López-Aguilera, L. Intensive Care Unit- Acquired Weakness and Hospital Functional Mobility Outcomes Following Invasive Mechanical Ventilation in Patients with COVID-19: A Single-Centre Prospective Cohort Study. J. Intensive Care Med. 2022, 37, 1005–1014. [Google Scholar] [CrossRef]
- Da Silveira, M.P.; Da Silva Fagundes, K.K.; Bizuti, M.R.; Starck, É.; Rossi, R.C.; De Resende, E.; Silva, D.T. Physical exercise as a tool to help the immune system against COVID-19: An integrative review of the current literature. Clin. Exp. Med. 2021, 21, 15–28. [Google Scholar] [CrossRef]
- Everaerts, S.; Heyns, A.; Langer, D.; Beyens, H.; Hermans, G.; Troosters, T.; Gosselink, R.; Lorent, N.; Janssens, W. COVID-19 recovery: Benefits of multi-professional respiratory rehabilitation. BMJ Open Respir. Res. 2021, 8, e000837. [Google Scholar] [CrossRef] [PubMed]
- Li, J.; Xia, W.; Zhan, C.; Liu, S.; Yin, Z.; Wang, J.; Chong, Y.; Zheng, C.; Fang, X.; Cheng, W.; et al. A telerehabilitation programme in post-discharge COVID-19 patients (tereco): A randomised controlled trial. Thorax 2021, 77, 697–706. [Google Scholar] [CrossRef]
- Rinaldo, R.F.; Mondoni, M.; Parazzini, E.M.; Baccelli, A.; Pitari, F.; Brambilla, E.; Luraschi, S.; Balbi, M.; Guazzi, M.; Di Marco, F.; et al. Severity does not impact on exercise capacity in COVID-19 survivors. Respir. Med. 2021, 187, 106577. [Google Scholar] [CrossRef] [PubMed]
- Williamson, M.A.; Synder, L.M. Wallach’s Interpretation of Diagnostic Tests (Portuguese), 10th ed.; Guanabara Koogan: Rio de Janeiro, Brasil, 2015; pp. 1–1288. [Google Scholar]
- Wang, H.; Yuan, Z.; Pavel, M.A.; Jablonski, S.M.; Jablonski, J.; Hobson, R.; Valente, S.; Reddy, C.B.; Hansen, S.B. The role of high cholesterol in SARS-CoV-2 infectivity. J. Biol. Chem. 2023, 299, 104763. [Google Scholar] [CrossRef]
- Kimura, L.F.; Sant’Anna, M.B.; Andrade, S.A.; Ebram, M.C.; Lima, C.F.G.; Celano, R.M.G.; Viégas, R.F.M.; Picolo, G. COVID-19 induces proatherogenic alterations in moderate to severe non-comorbid patients: A single-center observational study. Blood Cells Mol. Dis. 2021, 92, 102604. [Google Scholar] [CrossRef]
- Masana, L.; Correig, E.; Ibarretxe, D.; Anoro, E.; Arroyo, J.A.; Jericó, C.; Guerrero, C.; Miret, M.; Näf, S.; Pardo, A.; et al. Low HDL and high triglycerides predict COVID-19 severity. Sci. Rep. 2021, 11, 7217. [Google Scholar] [CrossRef]
- Lim, S.; Bae, J.H.; Kwon, H.S.; Nauck, M.A. COVID-19 and diabetes mellitus: From pathophysiology to clinical management. Nat. Rev. Endocrinol. 2021, 17, 11–30. [Google Scholar] [CrossRef] [PubMed]
- Correia de Sá, T.; Soares, C.; Rocha, M. Acute pancreatitis and COVID-19: A literature review. World J. Gastrointest. Surg. 2021, 13, 574–584. [Google Scholar] [CrossRef] [PubMed]
- Silva-Lalucci, M.P.P.; Souza-Marques, D.C.; Valdés-Badilla, P.; Andreato, L.V.; Branco, B.H.M. Obesity as a risk factor for complications and mortality in individuals with SARS-CoV-2: A systematic review. Nutrients 2024, 16, 543. [Google Scholar] [CrossRef] [PubMed]
- Logette, E.; Lorin, C.; Favreau, C.; Oshurko, E.; Coggan, J.S.; Casalegno, F.; Sy, M.F.; Monney, C.; Bertschy, M.; Delattre, E.; et al. A Machine-Generated View of the Role of Blood Glucose Levels in the Severity of COVID-19. Front. Public Health 2021, 9, 695139. [Google Scholar] [CrossRef] [PubMed]
- Leowattana, W. Angiotensin-converting enzyme 2 receptors, chronic liver diseases, common medications, and clinical outcomes in coronavirus disease 2019 patients. World J. Virol. 2021, 25, 86–96. [Google Scholar] [CrossRef]
- Chen, T.; Wu, D.; Chen, H.; Yan, W.; Yang, D.; Chen, G.; Ma, K.; Xu, D.; Yu, H.; Wang, H.; et al. Clinical characteristics of 113 deceased patients with coronavirus disease 2019: Retrospective study. BMJ 2020, 368, m1295. [Google Scholar] [CrossRef]
- Pinto, C.G.S.; Marega, M.; De Carvalho, J.A.M.; Carmona, F.G.; Lopes, C.E.F.; Ceschini, F.L.; Bocalini, D.S.; Figueira Junior, A.J. Physical activity as a protective factor for development of non-alcoholic fatty liver in men. Einstein 2015, 13, 34–40. [Google Scholar] [CrossRef]
- Malieckal, D.A.; Uppal, N.N.; Ng, J.H.; Jhaveri, K.D.; Hirsch, J.S. Electrolyte abnormalities in patients hospitalized with COVID-19. Clin. Kidney J. 2021, 14, 1704–1707. [Google Scholar] [CrossRef]
- Qian, G.Q.; Yang, N.B.; Ding, F.; Ma, A.H.Y.; Wang, Z.Y.; Shen, Y.F.; Shi, C.W.; Lian, X.; Chu, J.G.; Chen, L.; et al. Epidemiologic and clinical characteristics of 91 hospitalized patients with COVID-19 in Zhejiang, China: A retrospective, multi-centre case series. QJM Int. J. Med. 2020, 113, 474–481. [Google Scholar] [CrossRef]
- Wang, G.; Wu, C.; Zhang, Q.; Wu, F.; Yu, B.; Lv, J.; Li, Y.; Li, T.; Zhang, S.; Wu, C.; et al. C-Reactive Protein Level May Predict the Risk of COVID-19 Aggravation. Open Forum Infect. Dis. 2020, 7, ofaa153. [Google Scholar] [CrossRef]
- Aguiar, F.J.; Ferreira-Júnior, M.; Sales, M.M.; Cruz-Neto, L.M.; Fonseca, L.A.M.; Sumita, N.M.; Duarte, N.J.C.; Lichtenstein, A.; Duarte, A.J.S. C-reactive protein: Clinical applications and proposals for a rational use. Rev. Assoc. Med. Bras. 2013, 59, 85–92. [Google Scholar] [CrossRef] [PubMed]
- Wagmacker, D.S.; Petto, J.; Silva, F.L.; dos Santos, A.C.N.; Ladeira, A.M.T. C-Reactive protein in the initial phase of postprandial lipemia in subjects with central obesity. Int. J. Cardiovasc. Sci. 2015, 28, 9–15. [Google Scholar] [CrossRef]
- Brazil. Vigitel Brasil 2023: Surveillance of Risk and Protective Factors for Chronic Diseases by Telephone Survey: Estimates of the Frequency and Sociodemographic Distribution of Risk and Protective Factors for Chronic Diseases in the Capitals of the 26 Brazilian States and the Federal District in 2023 (Portuguese); Ministry of Health, Secretariat of Health and Environmental Surveillance, Department of Epidemiological Analysis and Surveillance of Non-Communicable Diseases; Ministry of Health: Brasília, Brazil, 2023; pp. 1–133. [Google Scholar]
- Hughes, D.C.; Ellefsen, S.; Baar, K. Adaptations to Endurance and Strength training. Cold Spring Harb. Perspect. Med. 2018, 8, a029769. [Google Scholar] [CrossRef] [PubMed]
- Schoenfeld, B.J.; Ogborn, D.; Krieger, J.W. Effects of Resistance Training Frequency on Measures of Muscle Hypertrophy: A Systematic Review and Meta-Analysis. Sports Med. 2016, 46, 1689–1697. [Google Scholar] [CrossRef]
- Westerterp, K.R. Control of energy expenditure in humans. Eur. J. Clin. Nutr. 2017, 71, 340–344. [Google Scholar] [CrossRef]
- Pescatello, L.S.; Franklin, B.A.; Fagard, R.; Farquhar, W.B.; Kelley, G.A.; Ray, C.A.; American College of Sports Medicine. American College of Sports Medicine position stand. Exercise and Hypertension. Med. Sci. Sports Exerc. 2004, 36, 533–553. [Google Scholar] [CrossRef]
Order | Theme | Details |
---|---|---|
I | Pre- and post-exercise | The theme explores pre- and post-exercise nutrition, emphasizing the importance of diet in exercise performance. It includes examples of beneficial foods, recommended quantities, and the optimal response time after consumption. |
II | Introduction to healthy eating | Food builders, regulators, energy foods, and food pyramid; healthy eating explains the builders, regulators, and energy of the different foods, their due quantities, and their position in the food pyramid. |
III | How to assemble a healthy dish | The lesson details the appropriate quantities of each food group—carbohydrates, proteins, fats, salads, and vegetables—and their portions for each meal. It includes a practical demonstration of how to assemble these on a plate. |
IV | Gain of muscle mass | The theme focuses on incorporating foods into meals that support muscle mass maintenance and growth. The class provides examples of protein sources and emphasizes the importance of gaining and maintaining muscle mass. |
V | Micronutrients (vitamins and minerals) | The class of micronutrients: the importance of vitamins and minerals in adolescent health, nutritional interactions, and examples of where we come from in food. |
VI | Soluble and insoluble fiber | The class on fibers covers the importance of daily fiber intake, the recommended amounts, the differences between soluble and insoluble fibers, and the food sources for each type. |
VII | How to read food labels | Food labels: how to read food labels, plus practical examples such as sachet juices, biscuits, and processed foods. |
VIII | Types of hunger (emotional, regulatory, specific, and social) | Physical or emotional hunger: explain in detail how to identify the hunger level and whether it is physical or emotional. |
IX | Intermediate snacks | This theme explains their importance, the necessary amount, and examples that can be applied to daily routines. |
X | Stress and anxiety | The lesson covers stress and anxiety, explaining their definitions and how to identify associated symptoms and physical and psychological signs. The intervention emphasizes self-awareness and managing these conditions through practical breathing exercises. |
XI | How to deal with post-COVID-19 sequelae | Due to the various sequelae after COVID-19, the class intends to work on the possible sequelae after the virus and how nutrition can help treat and decrease symptoms. |
XII | Mindful eating | The class cultivates participants’ ability to practice mindful eating and develop self-control in managing thoughts, emotions, physical sensations, and eating habits. |
XIII | Diet, light, and typical foods | The class explains the different types of foods and the time each is eaten and gives examples of each product. |
XIV | Myths and truths of nutrition | To address common myths about weight loss, such as “water fasting with lemon aids slimming”, “sweating leads to weight loss”, and “cutting carbohydrates helps lose weight”, among others. |
XV | Resume the topics already covered | Through a conversation circle, all topics were discussed. The aim was to create an environment to clarify doubts and revisit previously covered subjects. |
XVI | Ten steps to healthy eating | The last lesson addressed the ten steps to healthy eating and how to maintain these habits during vacation, independent of the research group. |
Order | Theme | Details |
---|---|---|
I | Introduction to mental health | This meeting outlined the rules, participants’ duties, reasons for the mental health interventions, and the topics to be covered. |
II | Exercise and mental health | Reporting the importance of physical exercise in motivating participants about the benefits of exercise for a better quality of life and mental health. |
III | How to assemble a healthy dish | In this meeting, we addressed anxiety in daily life, its impact on activities, ways to identify it, and techniques for managing it based on cognitive–behavioral theory. |
IV | The obesity today | The round table discussion clarified misconceptions, biases, and stereotypes about obesity, aiming to illustrate to participants that it is a multifactorial disease. |
V | Food and comportaments | Explain to the participants how food is directly linked to our feelings, explaining the types of hunger: psychological, physical, and social. |
VI | Post-traumatic stress disorder | This intervention aimed to help participants identify the disorder’s symptoms; this was completed by presenting and explaining each symptom. |
VII | Promoting a healthy lifestyle | Using daily examples, videos, and discussion circles, participants learned to prioritize physical and mental well-being for a balanced life, regardless of their circumstances. |
VIII | Reflections on stress | To help participants understand how stress can affect their mental and physical health. In addition, it will show techniques and behaviors to relieve this feeling healthily. |
IX | Reflections on depressive symptoms | Demonstrating the types of depression and their common symptoms helps identify them while proposing techniques and behaviors for prevention and treatment. |
X | Insomnia and relaxation techniques. | Explain how good quality sleep can influence physical and mental health. In addition, explain how sleep hygiene can help maintain a good rest and recovery routine. |
XI | Reflections on denial | The topic aimed to explain how harmful defense mechanisms influence behaviors and choices. |
XII | Reflections on fear | To show how fear can affect our feelings and interpersonal relationships and demonstrate examples from everyday life. |
XIII | Binge eating | Define, demonstrate, and explain how this disorder works and ways of identifying it. |
XIV | Behavior change | A critical sense was developed to perceive inappropriate behavior and change it. |
XV | Reflections on bereavement | The stages of bereavement were presented, and there was a space for people to talk about these events. |
XVI | Reflections on aging | The main changes regarding aging were shown through a content presentation. |
Order | Training Program A | Training Program B |
---|---|---|
1 | Warm-up (walking, cycling, or rowing at moderate intensity for 8 min) | Warm-up (walking, cycling, or rowing at moderate intensity for 8 min) |
2 | Plank torso strength | Plank torso strength |
3 | Rectus abdominais | Rectus abdominais |
4 | Aerobic exercise | Hip bridge |
5 | Squat | Leg press |
6 | Leg extension | Aerobic exercise |
7 | Bench press | Leg curl |
8 | Aerobic exercise | Push up |
9 | Cable pulldown | Cable straight-back seated row |
10 | Dumbbell shoulder press | Front raise |
11 | Triceps pulley | Biceps curl |
12 | Aerobic exercise | Aerobic exercise |
Variables | Mild (n = 31) | Moderate (n = 13) | Severe/Critical (n = 15) | p-Value |
---|---|---|---|---|
Age (years old) | 53.2 ± 12.3 | 54.3 ± 15.0 | 50.9 ± 12.9 | p = 0.77 |
Sex | p = 0.33 | |||
Male | 18 (58.1%) | 4 (30.8%) | 10 (66.7%) | |
Female | 13 (41.9%) | 9 (69.2%) | 5 (33.3%) | |
BMI (kg/m2) | 29.5 ± 4.8 | 31.1 ± 6.2 | 32.7 ± 4.8 | p = 0.14 |
Medical history | ||||
Hypertension | 10 (32.3%) | 5 (38.5%) | 8 (53.3%) | p = 0.40 |
Diabetes | 6 (19.4%) | 2 (15.4%) | 6 (40.0%) | p = 0.23 |
Dyslipidemia | 9 (29.0%) | 1 (7.7%) | 3 (20.0%) | p = 0.30 |
Hypothyroidism | 4 (12.9%) | 4 (30.8%) | 3 (20.0%) | p = 0.39 |
Psychogenic change | 9 (29.0%) | 2 (15.4%) | 0 (0%) | p = 0.06 |
Neuropathy | 2 (6.3%) | 0 (0%) | 2 (13.3%) | p = 0.39 |
Asthma | 0 (0%) | 1 (7.7%) | 0 (0%) | p = 0.17 |
Heart disease | 6 (19.4%) | 0 (0%) | 6 (40.0%) | p = 0.03 |
Post-COVID-19 self-reported symptoms | ||||
Fatigue | 13 (41.9%) | 7 (53.8%) | 7 (46.7%) | p = 0.78 |
Dyspnoea | 2 (6.3%) | 3 (23.1%) | 1 (6.7%) | p = 0.23 |
Muscle pain | 10 (32.3%) | 6 (46.2%) | 8 (53.3%) | p = 0.37 |
Joint pain | 0 (0%) | 0 (0%) | 1 (6.7%) | p = 0.23 |
Cough | 7 (22.6%) | 2 (15.4%) | 4 (26.7%) | p = 0.78 |
Dizziness | 6 (19.4%) | 4 (30.8%) | 5 (33.3%) | p = 0.54 |
Memory deficit | 22 (71.0%) | 9 (69.2%) | 9 (60.0%) | p = 0.76 |
Difficulty concentrating | 12 (38.7%) | 4 (30.8%) | 5 (33.3%) | p = 0.87 |
Anxiety disorder | 10 (32.3%) | 6 (46.2%) | 7 (46.7%) | p = 0.55 |
Depression | 4 (12.9%) | 4 (30.8%) | 2 (13.3%) | p = 0.33 |
Processing speed | 12 (38.7%) | 6 (46.2%) | 4 (26.7%) | p = 0.57 |
Physical activity ≥150 min/week | 9 (29.0%) | 2 (15.4%) | 6 (40.0%) | p = 0.37 |
Baseline vital signs | ||||
HR (bpm) | 78 ± 10 | 85 ± 15 | 81 ± 10 | p = 0.18 |
SBP (mmHg) | 127 ± 12 | 127 ± 10 | 128 ± 17 | p = 0.95 |
DBP (mmHg) | 78 ± 16 | 82 ± 9 | 81 ± 17 | p = 0.61 |
% SpO₂ | 97.0 ± 1.6 | 97.4 ± 1.4 | 96.8 ± 1.6 | p = 0.62 |
Variables | Mild (n = 31) | Moderate (n = 13) | Severe/Critical (n = 15) | ||||||
---|---|---|---|---|---|---|---|---|---|
Pre-Test | Post-8W | Post-16W | Pre-Test | Post-8W | Post-16W | Pre-Test | Post-8W | Post-16W | |
Body mass (kg) | 84.5 ± 19.4 (77–92) | 84.5 ± 19.0 (77–92) | 82.7 ± 22.2 (75–90) | 80.5 ± 16.1 (69–91) | 80.6 ± 15.8 (69–92) | 80.7 ± 15.9 (69–92) | 100.1 ± 23.1 (90–110) | 95.3 ± 27.7 (84–106) | 99.1 ± 22.1 (88–110) |
BMI (kg/m2) | 29.6 ± 4.9 (28–31) | 29.6 ±4.8 (28–31) | 29.5 ± 4.7 (28–31) | 31.0 ± 5.9 (28–34) | 31.1 ± 6.0 (28–34) | 31.1 ± 6.2 (28–34) | 33.2 ± 5.3 (30–36) | 32.9 ± 5.0 (30–35) | 32.7 ± 4.8 (30–35) |
AC (cm) * | 101.3 ± 13.6 (96–106) | 100.5 ± 13.4 (96–105) | 100.5 ± 13.2 (96–105) | 101.8 ± 14.3 (94.0–110) | 100.7 ± 13.8 (93–108) | 100.4 ± 14.2 (93–108) | 111.0 ± 14.9 (104–118) | 108.7 ± 12.1 (102–115) | 109.2 ± 14.0 (102–116) |
FFM (kg) | 53.0 ± 12.2 (49–57) | 53.4 ± 12.2 (49–58) | 53.9 ± 13.0 (49–58) | 46.2 ± 10.4 (40–53) | 45.9 ± 9.9 (39–53) | 46.1 ± 10.0 (39–53) | 57.6 ± 13.0 (51–64) | 55.7 ± 13.9 (49–62) | 59.1 ± 13.8 (53–66) |
SMM (kg) | 29.4 ± 7.2 (27–32) | 29.6 ± 7.2 (27–32) | 29.9 ± 7.7 (27–33) | 25.4 ± 6.3 (21–29) | 25.2 ± 6.0 (21–29) | 25.3 ± 6.1 (21–29) | 32.1 ± 7.7 (28–36) | 32.2 ± 7.7 (28–36) | 33.0 ± 8.1 (29–37) |
FM (kg) ‡ | 31.5 ± 11.5 (27–36) | 31.2 ± 10.8 (27–35) | 32.0 ± 11.6 (28–36) | 34.3 ± 10.7 (28–41) | 34.8 ± 11.0 (28–41) | 34.6 ± 10.7 (28–41) | 42.6 ± 13.3 (36–49) | 41.6 ± 13.0 (36–47) | 40.0 ± 11.3 (34–46) |
BFP (%) ‡ | 36.8 ± 8.1 (34–39) | 36.5 ± 7.8 (34–39) | 36.1 ± 8.5 (33–39) | 42.1 ± 8.4 (38–46) | 42.5 ± 8.7 (38–47) | 42.3 ± 8.3 (38–47) | 43.5 ± 5.2 (39–48) | 41.4 ± 7.3 (37–45) | 40.1 ± 6.6 (36–44) |
Variables | Mild (n = 31) | Moderate (n = 13) | Severe/Critical (n = 15) | ||||||
---|---|---|---|---|---|---|---|---|---|
Pre-Test | Post-8W | Post-16W | Pre-Test | Post-8W | Post-16W | Pre-Test | Post-8W | Post-16W | |
MIHS-R (kgf) * | 30 ± 11 (26–35) | 35 ± 12 (30–39) | 35 ± 11 (30–39) | 29 ± 13 (22–35) | 30 ± 12 (23–36) | 31 ± 12 (25–38) | 33 ± 13 (26–39) | 36 ± 11 (29–42) | 37 ± 13 (30–43) |
MIHS-L (kgf) * | 28 ± 11 (25–32) | 32 ± 11 (28–37) | 34 ± 11 (29–38) | 25 ± 8 (19–31) | 29 ± 12 (22–35) | 30 ± 12 (23–37) | 33 ± 13 (27–38) | 34 ± 12 (29–38) | 35 ± 13 (29–41) |
Sit and reach (cm) § | 22 ± 9 (19–25) | 24 ± 9 (21–27) | 27 ± 8 (24–30) | 27 ± 6 (22–32) | 30 ± 6 (25–35) | 31 ± 4 (26–35) | 19 ± 9 (15–24) | 21 ± 10 (17–26) | 24 ± 9 (20–28) |
MILTS (kg) * | 88 ± 38 (75–102) | 100 ± 23 (86–114) | 104 ± 35 (91–118) | 69 ± 20 (47–91) | 85 ± 23 (64–107) | 84 ± 28 (63–104) | 106 ± 49 (84–127) | 108 ± 42 (89–128) | 108 ± 45 (89–127) |
Push-up (reps/min) * | 19 ± 9 (16–22) | 24 ± 11 (21–28) | 28 ± 14 (24–33) | 15 ± 7 (10–20) | 23 ± 8 (18–28) | 25 ± 10 (19–32) | 15 ± 8 (10–20) | 16 ± 7.0 (11–21) | 18 ± 8 (11–24) |
Abdominal strength–endurance (reps) * | 17 ± 8 (14–20) | 21 ± 8 (17–25) | 26 ± 12 (22–30) | 16 ± 8 (11–21) | 19 ± 8 (14–24) | 24 ± 11 (17–30) | 14 ± 9 (10–19) | 20 ± 11 (15–25) | 19 ± 10 (13–24) |
Sit and stand (reps/min) * | 16.3 ± 4.4 (14–18) | 19.1 ± 5.9 (17–21) | 21.6 ± 5.6 (20–24) | 15.8 ± 4.2 (13–19) | 20.0 ± 5.9 (17–23) | 19.9 ± 4.5 (17–23) | 15.8 ± 6.3 (13–18) | 17.7 ± 5.6 (15–21) | 18.2 ± 5.2 (15–21) |
6MWT | |||||||||
VO2 peak (mL/kg/min) * | 16.9 ± 3.6 (15–18) | 18.0 ± 3.8 (16–20) | 18.6 ± 4,0 (17–20) | 16.3 ± 5.4 (14–19) | 17.3 ± 5.0 (15–20) | 17.7 ± 4.8 (15–20) | 16.6 ± 3.8 (14–19) | 17.4 ± 4.5 (15–20) | 17.8 ± 3.5 (15–20) |
Distance (m) * | 534 ± 69 (502–566) | 583 ± 89 (546–620) | 595 ± 96 (561–630) | 505 ± 110 (455–555) | 561 ± 99 (507–615) | 562 ± 90 (512–613) | 521 ± 108 (473–570) | 569 ± 109 (519–619) | 554 ± 80 (505–602) |
Final heart rate (bpm) | 78 ± 10 (74–82) | 80 ± 10 (76–84) | 76 ± 11 (70–81) | 80 ± 10 (75–86) | 72 ± 9 (67–78) | 77 ± 11 (71–83) | 79 ± 10 (74–84) | 76 ± 11 (70–81) | 76 ± 9 (71–82) |
SBP pre-test (mmHg) | 125 ± 13 (120–129) | 124 ± 8 (118–129) | 123 ± 12 (118–128) | 128 ± 13 (121–135) | 132 ± 19 (124–140) | 131 ± 14 (124–139) | 126 ± 12 (119–132) | 134 ± 15 (127–141) | 128 ± 15 (123–135) |
SBP final (mmHg) | 142 ± 16 (135–148) | 148 ± 11 (142–153) | 141 ± 18 (135–148) | 141 ± 21 (130–151) | 148 ± 17 (141–156) | 143 ± 18 (133–152) | 148 ± 23 (138–158) | 147 ± 11 (141–154) | 145 ± 12 (136–154) |
DBP pre-test (mmHg) ‡ | 79 ± 9 (75–83) | 81 ± 11 (77–85) | 71 ± 9 (68–75) | 79 ± 13 (73–85) | 83 ± 8 (77–89) | 75 ± 11 (70–81) | 79 ± 12 (73–85) | 87 ± 12 (81–92) | 77 ± 10 (72–82) |
DBP final (mmHg) ‡ | 84 ± 11 (80–89) | 87 ± 13 (83–92) | 75.5 ± 10.9 (71–80) | 86 ± 14 (79–93) | 91 ± 9 (84–97) | 76 ± 11 (70–83) | 86 ± 15 (79–92) | 87 ± 12 (80–93) | 79 ± 13 (73–85) |
Variables | Mild (n = 31) | Moderate (n = 13) | Severe/Critical (n = 15) | ||||||
---|---|---|---|---|---|---|---|---|---|
Pre-Test | Post-8W | Post-16W | Pre-Test | Post-8W | Post-16W | Pre-Test | Post-8W | Post-16W | |
TC (mg/dL) * | 182 ± 48 (163–201) | 165 ± 35 (151–178) | 168 ± 35 (155–182) | 198 ± 56 (168–227) | 152 ± 43 (131–172) | 159 ± 32 (139–180) | 189 ± 61 (161–216) | 158 ± 35 (140–177) | 157 ± 42 (138–176) |
LDL-c (mg/dL) * | 119 ± 52 (99–139) | 88 ± 28 (77–98) | 88 ± 29 (76–100) | 125 ± 53 (94–156) | 74 ± 34 (57–91) | 82 ± 27 (63–101) | 115 ± 64 (86–144) | 85 ± 30 (69–100) | 83 ± 45 (65–100) |
HDL-c (mg/dL) | 49.6 ± 12.9 (45.2–54.0) | 52.4 ± 15.1 (48.0–56.8) | 56.0 ± 11.2 (51.6–60.3) | 54.2 ± 14.3 (47.4–60.9) | 50.0 ± 15.1 (43.2–56.9) | 53.9 ± 15.4 (47.2–54.8) | 48.1 ± 7.3 (41.6–54.6) | 44.6 ± 10.0 (38.2–51.0) | 48.5 ± 10.9 (42.2–54.8) |
TGL (mg/dL) | 118 ± 50 (98–138) | 124 ± 54 (104–144) | 115 ± 54 (92–137) | 130 ± 59 (99–161) | 112 ± 46 (80–144) | 106 ± 45 (70–142) | 134 ± 65 (105–163) | 142 ± 63 (113–171) | 142 ± 85 (110–174) |
HbA1c (%) * | 6.1 ± 0.6 (5.9–6.4) | 6.0 ± 0.7 (5.6–6.5) | 5.6 ± 0.4 (5.4–5.8) | 6.3 ± 1.2 (5.9–6.7) | 6.0 ± 1.0 (5.6–6.5) | 5.7 ± 0.5 (5.4–5.9) | 5.8 ± 0.5 (5.4–6.2) | 5.7 ± 0.6 (5.2–6.1) | 5.6 ± 0.4 (5.4–5.9) |
Creatinine (mg/dL) † | 1.2 ± 0.2 (1.2–1.3) | 1.2 ± 0.3 (1.1–1.3) | 1.2 ± 0.3 (1.1–1.3) | 1.1 ± 0.2 (1.0–1.3) | 1.0 ± 0.4 (0.9–1.2) | 1.2 ± 0.2 (1.0–1.3) | 1.3 ± 0.2 (1.1–1.4) | 1.3 ± 0.2 (1.1–1.4) | 1.4 ± 0.2 (1.2–1.5) |
Urea (mg/dL) * | 38.4 ± 15.7 (32.9–43.8) | 35.2 ± 12.9 (30.8–39.6) | 41.2 ± 11.4 (37.3–45.1) | 40.9 ± 17.3 (32.4–49.3) | 29.8 ± 13.5 (23.1–36.4) | 37.0 ± 11.5 (30.9–43.1) | 38.1 ± 11.4 (30.2–45.9) | 32.1 ± 7.5 (25.7–38.6) | 31.7 ± 9.2 (25.9–37.6) |
ALT (U/L) | 27.5 ± 10.2 (23.7–31.2) | 27.7 ± 13.2 (22.6–32.8) | 29.0 ± 13.4 (24.9–33.1) | 25.7 ± 12.2 (20.0–31.4) | 26.2 ± 13.2 (18.4–34.1) | 24.2 ± 8.6 (17.9–30.6) | 29.4 ± 8.8 (24.1–34.8) | 33.9 ± 16.8 (26.6–41.3) | 22.5 ± 8.5 (16.6–28.4) |
AST (U/L) | 29.5 ± 10.6 (25.2–33.9) | 29.2 ± 10.5 (25.1–33.3) | 27.1 ± 9.4 (23.5–30.7) | 22.5 ± 9.0 (16.0–29.1) | 34.1 ± 16.6 (27.7–40.4) | 25.8 ± 10.1 (20.2–31.4) | 31.1 ± 15.4 (25.1–37.2) | 27.9 ± 7.3 (22.0–33.9) | 24.6 ± 11.3 (19.4–29.8) |
ALP (U/L) | 51.3 ± 19.5 (43.9–58.8) | 59.9 ± 21.3 (52.7–67.1) | 57.0 ± 11.8 (51.4–62.6) | 59.8 ± 22.8 (48.3–71.3) | 54.5 ± 20.5 (43.4–65.6) | 68.3 ± 22.7 (59.9–76.7) | 60.1 ± 21.3 (49.4–70.8) | 59.7 ± 16.2 (52.7–67.1) | 54.5 ± 12.6 (46.7–62.3) |
GGT (U/L) § | 45.7 ± 21.3 (39–52) | 39.5 ± 19.4 (33–46) | 35.3 ± 16.1 (30–41) | 43.7 ± 13.7 (33–55) | 43.0 ± 19.8 (32–54) | 36.8 ± 14.9 (28–45) | 48.0 ± 17.3 (38–58) | 43.6 ± 18.2 (34–53) | 31.7 ± 11.6 (24–39) |
Albumin (g/dL) | 4.2 ± 0.6 (3.9–4.4) | 4.1 ± 0.4 (3.9–4.2) | 4.0 ± 0.6 (3.8–4.2) | 3.9 ± 0.7 (3.5–4.2) | 4.1 ± 0.4 (3.9–4.3) | 4.1 ± 0.7 (3.7–4.4) | 4.1 ± 0.4 (3.8–4.4) | 4.1 ± 0.3 (3.9–4.3) | 4.2 ± 0.8 (3.8–4.5) |
Amylase (U/L) | 82.8 ± 34.2 (71.7–94.0) | 76.7 ± 24.1 (67.2–86.3) | 65.3 ± 29.3 (54.5–76.1) | 65.5 ± 29.0 (48.3–82.8) | 59.1 ± 32.8 (44.3–73.9) | 55.8 ± 17.8 (391–72.4) | 62.7 ± 24.7 (46.7–78.8) | 63.3 ± 26.1 (49.6–77.1) | 75.9 ± 38.6 (60.4–91.4) |
Lipase (U/L) ‡ | 53.0 ± 18.3 (47–59) | 47.6 ± 12.2 (43–52) | 38.3 ± 11.8 (33–43) | 45.2 ± 16.8 (36–54) | 40.3 ± 14.3 (33–47) | 39.7 ± 14.2 (32–47) | 45.1 ± 11.6 (36–54) | 50.9 ± 10.2 (45–57) | 45.3 ± 15.7 (38–52) |
Calcium (mg/dL) | 6.4 ± 3.6 (5.3–7.6) | 6.2 ± 2.5 (5.2–7.2) | 6.9 ± 3.1 (5.7–8.0) | 6.0 ± 2.5 (4.2–7.8) | 7.0 ± 2.8 (5.4–8.6) | 8.8 ± 3.6 (7.1–10.6) | 6.8 ± 3.0 (5.2–8.5) | 7.1 ± 3.5 (5.7–8.6) | 5.8 ± 3.0 (4.2–7.4) |
Magnesium (mg/dL) § | 2.2 ± 0.6 (1.9–2.5) | 2.1 ± 0.8 (1.8–2.4) | 1.6 ± 0.6 (1.3–1.8) | 2.1 ± 1.2 (1.7–2.6) | 1.9 ± 0.7 (1.5–2.4) | 1.9 ± 1.1 (1.5–2.4) | 2.3 ± 0.6 (1.9–2.7) | 2.3 ± 0.9 (1.9–2.7) | 1.4 ± 0.6 (0.9–1.8) |
Phosphorus (mg/dL) | 2.5 ± 0.8 (2.1–2.9) | 3.1 ± 1.0 (2.8–3.4) | 3.5 ± 1.0 (3.2–3.8) | 2.9 ± 1.1 (2.3–3.5) | 2.9 ± 0.6 (2.4–3.4) | 3.6 ± 0.2 (3.0–4.1) | 3.2 ± 1.5 (2.6–3.8) | 3.0 ± 0.8 (2.5–3.4) | 2.9 ± 0.6 (2.5–3.4) |
CRP (mg/dL) ‡ | 6.1 ± 6.9 (3.3–8.9) | 6.2 ± 5.0 (4.1–8.3) | 5.2 ± 4.6 (3.3–7.0) | 9.6 ± 8.6 (5.3–14.0) | 8.9 ± 7.2 (5.3–12.4) | 5.9 ± 4.7 (3.1–8.7) | 13.5 ± 7.5 (9.3–17.6) | 10.9 ± 5.5 (7.8–14.0) | 7.0 ± 6.2 (4.4–9.6) |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Silva-Lalucci, M.P.d.P.; Marques, D.C.d.S.; Ryal, J.J.; Marques, M.G.d.S.; Perli, V.A.S.; Sordi, A.F.; de Moraes, S.M.F.; Valdés-Badilla, P.; Andreato, L.V.; Branco, B.H.M. Impact of Multi-Professional Intervention on Health-Related Physical Fitness and Biomarkers in Overweight COVID-19 Survivors for 8 and 16 Weeks: A Non-Randomized Clinical Trial. Healthcare 2024, 12, 2034. https://doi.org/10.3390/healthcare12202034
Silva-Lalucci MPdP, Marques DCdS, Ryal JJ, Marques MGdS, Perli VAS, Sordi AF, de Moraes SMF, Valdés-Badilla P, Andreato LV, Branco BHM. Impact of Multi-Professional Intervention on Health-Related Physical Fitness and Biomarkers in Overweight COVID-19 Survivors for 8 and 16 Weeks: A Non-Randomized Clinical Trial. Healthcare. 2024; 12(20):2034. https://doi.org/10.3390/healthcare12202034
Chicago/Turabian StyleSilva-Lalucci, Marielle Priscila de Paula, Déborah Cristina de Souza Marques, Joed Jacinto Ryal, Marilene Ghiraldi de Souza Marques, Victor Augusto Santos Perli, Ana Flávia Sordi, Solange Marta Franzoi de Moraes, Pablo Valdés-Badilla, Leonardo Vidal Andreato, and Braulio Henrique Magnani Branco. 2024. "Impact of Multi-Professional Intervention on Health-Related Physical Fitness and Biomarkers in Overweight COVID-19 Survivors for 8 and 16 Weeks: A Non-Randomized Clinical Trial" Healthcare 12, no. 20: 2034. https://doi.org/10.3390/healthcare12202034
APA StyleSilva-Lalucci, M. P. d. P., Marques, D. C. d. S., Ryal, J. J., Marques, M. G. d. S., Perli, V. A. S., Sordi, A. F., de Moraes, S. M. F., Valdés-Badilla, P., Andreato, L. V., & Branco, B. H. M. (2024). Impact of Multi-Professional Intervention on Health-Related Physical Fitness and Biomarkers in Overweight COVID-19 Survivors for 8 and 16 Weeks: A Non-Randomized Clinical Trial. Healthcare, 12(20), 2034. https://doi.org/10.3390/healthcare12202034