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Vonderscher M, Bowen M, Samozino P, Morel B. Testing the predictive capacity of a muscle fatigue model on electrically stimulated adductor pollicis. Eur J Appl Physiol 2024; 124:3619-3630. [PMID: 39052043 DOI: 10.1007/s00421-024-05551-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2024] [Accepted: 06/25/2024] [Indexed: 07/27/2024]
Abstract
PURPOSE Based on the critical power (Pc or critical force; Fc) concept, a recent mathematical model formalised the proportional link between the decrease in maximal capacities during fatiguing exercises and the amount of impulse accumulated above Fc. This study aimed to provide experimental support to this mathematical model of muscle fatigability in the severe domain through testing (i) the model identifiability using non-exhausting tests and (ii) the model ability to predict time to exhaustion (tlim) and maximal force (Fmax) decrease. METHODS The model was tested on eight participants using electrically stimulated adductor pollicis muscle force. The Fmax was recorded every 15 s for all tests, including five constant tests to estimate the initial maximal force (Fi), Fc, and a time constant (τ). The model's parameters were used to compare the predicted and observed tlim values of the incremental ramp test and Fmax(t) of the sine test. RESULTS The results showed that the model accurately estimated Fi, Fc, and τ (CI95% = 2.7%Fi and 9.1 s for Fc and τ, respectively; median adjusted r2 = 0.96) and predicted tlim and Fmax with low systematic and random errors (11 ± 20% and - 1.8 ± 7.7%Fi, respectively). CONCLUSION This study revealed the potential applications of a novel mathematical formalisation that encompasses previous research on the critical power concept. The results indicated that the model's parameters can be determined from non-exhaustive tests, as long as maximal capacities are regularly assessed. With these parameters, the evolution of maximal capacities (i.e. fatigability) at any point during a known exercise and the time to exhaustion can be accurately predicted.
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Affiliation(s)
- M Vonderscher
- Univ Savoie Mont Blanc, Interuniversity Laboratory of Human Movement Sciences, EA 7424, F-73000, Chambéry, France.
| | - M Bowen
- Univ Savoie Mont Blanc, Interuniversity Laboratory of Human Movement Sciences, EA 7424, F-73000, Chambéry, France
| | - P Samozino
- Univ Savoie Mont Blanc, Interuniversity Laboratory of Human Movement Sciences, EA 7424, F-73000, Chambéry, France
| | - B Morel
- Univ Savoie Mont Blanc, Interuniversity Laboratory of Human Movement Sciences, EA 7424, F-73000, Chambéry, France
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2
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Schampheleer E, Roelands B. Mental Fatigue in Sport-From Impaired Performance to Increased Injury Risk. Int J Sports Physiol Perform 2024; 19:1158-1166. [PMID: 39122241 DOI: 10.1123/ijspp.2023-0527] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2023] [Revised: 05/17/2024] [Accepted: 05/21/2024] [Indexed: 08/12/2024]
Abstract
The literature describing the effects of mental fatigue (MF) has grown tremendously. This is accompanied by identification of a host of performance-determining parameters affected by MF. MF results from prolonged cognitive effort and predominantly affects physical, technical, tactical, and perceptual-cognitive dimensions of sport, while physiological parameters (eg, heart rate, lactate) and physical aspects of maximal and supramaximal efforts are predominantly unaffected. The aim of this paper was to provide an overview of the parameters described in the literature as influenced by MF. By identifying the different parameters, we not only see how they affect the performance of athletes but also raise concerns about the potentially increased injury risk due to MF. Preliminary evidence suggests that subsequent disturbances in balance, motor skills, and decision-making processes could potentially increase the vulnerability to injury. An abundance of lab-based studies looked into the effects of MF on performance; however, many questions remain about the mechanisms of origin and neurophysiological causes of MF, and only small steps have been taken to translate this knowledge into practice. Thus, there is a need for more research into the underlying mechanisms of MF and the role of the brain, as well as more applied research with a high ecological validity that also takes into account the potential increased risk of injury due to MF.
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Affiliation(s)
- Emilie Schampheleer
- Human Physiology and Sports Physiotherapy Research Group, Faculty of Physical Education and Physiotherapy, Vrije Universiteit Brussel, Brussels, Belgium
| | - Bart Roelands
- Human Physiology and Sports Physiotherapy Research Group, Faculty of Physical Education and Physiotherapy, Vrije Universiteit Brussel, Brussels, Belgium
- BruBotics, Vrije Universiteit Brussel, Brussels, Belgium
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3
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Bowen M, Samozino P, Vonderscher M, Dutykh D, Morel B. Mathematical modeling of exercise fatigability in the severe domain: A unifying integrative framework in isokinetic condition. J Theor Biol 2024; 578:111696. [PMID: 38070705 DOI: 10.1016/j.jtbi.2023.111696] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Revised: 11/15/2023] [Accepted: 12/04/2023] [Indexed: 12/22/2023]
Abstract
Muscle fatigue is the decay in the ability of muscles to generate force, and results from neural and metabolic perturbations. This article presents an integrative mathematical model that describes the decrease in maximal force capacity (i.e. fatigue) over exercises performed at intensities above the critical force Fc (i.e. severe domain). The model unifies the previous Critical Power Model and All-Out Model and can be applied to any exercise described by a changing force F over time. The assumptions of the model are (i) isokinetic conditions, an intensity domain of Fc
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Affiliation(s)
- M Bowen
- Laboratoire Interuniversitaire de Biologie de la Motricité LIBM, EA 7424, Savoie Mont Blanc University, F-7300, Chambéry, France.
| | - P Samozino
- Laboratoire Interuniversitaire de Biologie de la Motricité LIBM, EA 7424, Savoie Mont Blanc University, F-7300, Chambéry, France
| | - M Vonderscher
- Laboratoire Interuniversitaire de Biologie de la Motricité LIBM, EA 7424, Savoie Mont Blanc University, F-7300, Chambéry, France
| | - D Dutykh
- Mathematics Department, Khalifa University of Science and Technology, PO Box 127788, Abu Dhabi, United Arab Emirates; Causal Dynamics Pty Ltd, WA 6009, Perth, Australia
| | - B Morel
- Laboratoire Interuniversitaire de Biologie de la Motricité LIBM, EA 7424, Savoie Mont Blanc University, F-7300, Chambéry, France
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4
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de Lima-Junior D, Silva DC, Ferreira MEC, de Sousa Fortes L. Effect of brain endurance training on maximal oxygen uptake, time-to-exhaustion, and inhibitory control in runners. Scand J Med Sci Sports 2023; 33:2166-2180. [PMID: 37589477 DOI: 10.1111/sms.14457] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Revised: 07/11/2023] [Accepted: 07/18/2023] [Indexed: 08/18/2023]
Abstract
We aimed to analyze the effect of brain endurance training on maximum oxygen consumption (VO2máx ), time-to-exhaustion, and inhibitory control in amateur trained runners. We employed a mixed experimental design, with the group as the between-participant factor and time as the within-participant factor. 45 participants attended 36 training sessions over 12 weeks. The cognitive training group (CT) performed the Stroop word-color task [trials of each type (congruent, incongruent, and neutral) were randomly presented during each training session], the endurance training group (ET) participated in a running training program (intensity was 60%Δ of maximal aerobic velocity and performed on a motor-driven treadmill), and the brain endurance training group (BET) make cognitive and endurance training simultaneously over 12 weeks. The total time of each session (i.e., 20-40 min) was identical in the experimental groups. VO2máx , time-to-exhaustion, and inhibitory control tests were measured before (baseline) and after (post-experiment) the 12-week intervention. A significant effect of interaction (group × time) for VO2máx (p < 0.05) was found. A post-hoc test showed an increase in VO2máx from baseline to post-experiment only for ET (Δ% = 2.98) and BET (Δ% = 3.78) groups (p < 0.05). Also, the analyses showed a significant interaction (group × time) for time-to-exhaustion (p < 0.05), and a post-hoc test revealed an improvement in time-to-exhaustion for ET (Δ% = 8.81) and BET (Δ% = 11.01) (p < 0.05). No group × time interaction was found for accuracy and response time in the inhibitory control task (p > 0.05). The results conclude that BET was not superior to ET for improving VO2máx and time-to-exhaustion. Also, the findings conclude that BET improved inhibitory control similar to CT.
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Affiliation(s)
- Dalton de Lima-Junior
- Department of Physical Education, Federal University of Paraíba, João Pessoa, Brazil
- University of Bologna, Bologna, Italy
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5
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Sezer H, Çınar D, Kılıç Akça N. The effect of prolonged use of surgical masks during face-to-face teaching on cognitive and physiological parameters of nursing students: A cross-sectional and descriptive study. Nurse Educ Pract 2023; 72:103779. [PMID: 37717408 DOI: 10.1016/j.nepr.2023.103779] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 08/24/2023] [Accepted: 09/07/2023] [Indexed: 09/19/2023]
Abstract
AIMS This study was conducted to examine the effects of using surgical masks on nursing students' cognitive and physiological parameters during full-time face-to-face teaching during the pandemic. BACKGROUND It is known that the use of surgical masks has effects on health professionals' physiological parameters. DESIGN A descriptive cross-sectional study with a pretest-posttest design was conducted. The study was carried out at a state university. METHODS Sixty-one nursing students taking Internal Medicine Nursing course in the fall semester during the COVID-19 pandemic were included in the study. Study data were collected by using a Descriptive Information Form, the Cognitive Fatigue Scale, the One-way Dyspnea Scale and the Cognitive Reaction Time application in a theoretical course that took 310 min on 15 November 2021. Students' physiological parameters were measured by using a thermometer and pulse oximetry. RESULTS It was found that students' cognitive fatigue levels (p < 0.001) and body temperature increased (p < 0.001) and that cognitive reaction rates (p = 0.05) and pulse rates decreased (p < 0.001). It was determined that after the lesson, there was a weak positive correlation between nursing students' level of dyspnea and body temperature and their cognitive fatigue levels (p < 0.05). CONCLUSIONS It was determined that the use of surgical masks during full-time face-to-face teaching increased students' cognitive fatigue and decreased their cognitive reaction rates. The research will have an impact on redesigning the curriculum for face-to-face teaching. Lecturers should revise their teaching by taking these findings into account.
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Affiliation(s)
- Hale Sezer
- Izmir Bakırçay University Faculty of Health Science, Department of Nursing Education, Izmir, Turkey.
| | - Derya Çınar
- Izmir Bakırçay University Faculty of Health Science, Department of Oncology Nursing, Izmir, Turkey
| | - Nazan Kılıç Akça
- Izmir Bakırçay University Faculty of Health Science, Department of Internal Medicine Nursing, Izmir, Turkey
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6
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Habay J, Uylenbroeck R, Van Droogenbroeck R, De Wachter J, Proost M, Tassignon B, De Pauw K, Meeusen R, Pattyn N, Van Cutsem J, Roelands B. Interindividual Variability in Mental Fatigue-Related Impairments in Endurance Performance: A Systematic Review and Multiple Meta-regression. SPORTS MEDICINE - OPEN 2023; 9:14. [PMID: 36808018 PMCID: PMC9941412 DOI: 10.1186/s40798-023-00559-7] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Accepted: 02/06/2023] [Indexed: 02/22/2023]
Abstract
BACKGROUND The negative effect of mental fatigue (MF) on physical performance has recently been questioned. One reason behind this could lie in the interindividual differences in MF-susceptibility and the individual features influencing them. However, the range of individual differences in mental fatigue-susceptibility is not known, and there is no clear consensus on which individual features could be responsible for these differences. OBJECTIVE To give an overview of interindividual differences in the effects of MF on whole-body endurance performance, and individual features influencing this effect. METHODS The review was registered on the PROSPERO database (CRD42022293242). PubMed, Web of Science, SPORTDiscus and PsycINFO were searched until the 16th of June 2022 for studies detailing the effect of MF on dynamic maximal whole-body endurance performance. Studies needed to include healthy participants, describe at least one individual feature in participant characteristics, and apply at least one manipulation check. The Cochrane crossover risk of bias tool was used to assess risk of bias. The meta-analysis and regression were conducted in R. RESULTS Twenty-eight studies were included, with 23 added to the meta-analysis. Overall risk of bias of the included studies was high, with only three presenting an unclear or low rating. The meta-analysis shows the effect of MF on endurance performance was on average slightly negative (g = - 0.32, [95% CI - 0.46; - 0.18], p < 0.001). The multiple meta-regression showed no significant influences of the included features (i.e. age, sex, body mass index and physical fitness level) on MF-susceptibility. CONCLUSIONS The present review confirmed the negative impact of MF on endurance performance. However, no individual features influencing MF-susceptibility were identified. This can partially be explained by the multiple methodological limitations such as underreporting of participant characteristics, lack of standardization across studies, and the restricted inclusion of potentially relevant variables. Future research should include a rigorous description of multiple different individual features (e.g., performance level, diet, etc.) to further elucidate MF mechanisms.
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Affiliation(s)
- Jelle Habay
- grid.8767.e0000 0001 2290 8069Human Physiology and Sports Physiotherapy Research Group, Faculty of Physical Education and Physiotherapy, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium ,grid.16499.330000 0004 0645 1099Vital Signs and Performance Monitoring Research Unit, LIFE Department, Royal Military Academy, Brussels, Belgium ,grid.434261.60000 0000 8597 7208Research Foundation Flanders (FWO), Brussels, Belgium
| | - Robin Uylenbroeck
- grid.8767.e0000 0001 2290 8069Human Physiology and Sports Physiotherapy Research Group, Faculty of Physical Education and Physiotherapy, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium
| | - Ruben Van Droogenbroeck
- grid.8767.e0000 0001 2290 8069Human Physiology and Sports Physiotherapy Research Group, Faculty of Physical Education and Physiotherapy, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium
| | - Jonas De Wachter
- grid.8767.e0000 0001 2290 8069Human Physiology and Sports Physiotherapy Research Group, Faculty of Physical Education and Physiotherapy, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium
| | - Matthias Proost
- grid.8767.e0000 0001 2290 8069Human Physiology and Sports Physiotherapy Research Group, Faculty of Physical Education and Physiotherapy, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium
| | - Bruno Tassignon
- grid.8767.e0000 0001 2290 8069Human Physiology and Sports Physiotherapy Research Group, Faculty of Physical Education and Physiotherapy, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium ,grid.8767.e0000 0001 2290 8069BruBotics, Vrije Universiteit Brussel, Brussels, Belgium
| | - Kevin De Pauw
- grid.8767.e0000 0001 2290 8069Human Physiology and Sports Physiotherapy Research Group, Faculty of Physical Education and Physiotherapy, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium ,grid.8767.e0000 0001 2290 8069BruBotics, Vrije Universiteit Brussel, Brussels, Belgium
| | - Romain Meeusen
- grid.8767.e0000 0001 2290 8069Human Physiology and Sports Physiotherapy Research Group, Faculty of Physical Education and Physiotherapy, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium ,grid.8767.e0000 0001 2290 8069BruBotics, Vrije Universiteit Brussel, Brussels, Belgium
| | - Nathalie Pattyn
- grid.8767.e0000 0001 2290 8069Human Physiology and Sports Physiotherapy Research Group, Faculty of Physical Education and Physiotherapy, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium ,grid.16499.330000 0004 0645 1099Vital Signs and Performance Monitoring Research Unit, LIFE Department, Royal Military Academy, Brussels, Belgium
| | - Jeroen Van Cutsem
- grid.8767.e0000 0001 2290 8069Human Physiology and Sports Physiotherapy Research Group, Faculty of Physical Education and Physiotherapy, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium ,grid.16499.330000 0004 0645 1099Vital Signs and Performance Monitoring Research Unit, LIFE Department, Royal Military Academy, Brussels, Belgium
| | - Bart Roelands
- Human Physiology and Sports Physiotherapy Research Group, Faculty of Physical Education and Physiotherapy, Vrije Universiteit Brussel, Pleinlaan 2, 1050, Brussels, Belgium. .,BruBotics, Vrije Universiteit Brussel, Brussels, Belgium.
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7
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Mangin T, Audiffren M, Lorcery A, Mirabelli F, Benraiss A, André N. A plausible link between the time-on-task effect and the sequential task effect. Front Psychol 2022; 13:998393. [PMID: 36389536 PMCID: PMC9643466 DOI: 10.3389/fpsyg.2022.998393] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Accepted: 10/03/2022] [Indexed: 01/27/2024] Open
Abstract
Mental fatigue can be studied by using either the time-on-task protocol or the sequential task protocol. In the time-on-task protocol, participants perform a long and effortful task and a decrease in performance in this task is generally observed over time. In the sequential task protocol, a first effortful or control task is followed by a second effortful task. The performance in the second task is generally worse after the effortful task than after the control task. The principal aim of the present experiment is to examine the relationship between these two decrements in performance while concomitantly using a sequential task protocol and assessing the performance of the first effortful task as a function of time-on-task. We expect a positive correlation between these two decrements in performance. A total of 83 participants performed a 30-min fatiguing mental task (i.e., a modified Stroop task) or a control task followed by a time-to-exhaustion handgrip task. As expected, this protocol combining the time-on-task and sequential task protocols allowed us to observe (1) a decrease in performance over time during the Stroop task, (2) a worst performance in the handgrip task after the Stroop task by comparison to the control task, (3) a positive correlation between these two effects. The decrease in performance during the Stroop task also correlated with the subjective measures of boredom and fatigue, whereas the detrimental effect observed in the handgrip task did not. Our findings suggest that the two fatigue-related phenomena share a common mechanism but are not completely equivalent.
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Affiliation(s)
- Thomas Mangin
- Centre de Recherches sur la Cognition et l’Apprentissage (CeRCA), UMR CNRS 7295, Université de Poitiers, Poitiers, France
- Faculté de Médecine, École de Kinésiologie et des Sciences de l’Activité Physique (EKSAP), Université de Montréal, Montreal, QC, Canada
- Centre de Recherche de l’Institut Universitaire de Gériatrie de Montréal (CRIUGM), Montréal, QC, Canada
| | - Michel Audiffren
- Centre de Recherches sur la Cognition et l’Apprentissage (CeRCA), UMR CNRS 7295, Université de Poitiers, Poitiers, France
| | - Alison Lorcery
- Centre de Recherches sur la Cognition et l’Apprentissage (CeRCA), UMR CNRS 7295, Université de Poitiers, Poitiers, France
| | - Francesco Mirabelli
- Centre de Recherches sur la Cognition et l’Apprentissage (CeRCA), UMR CNRS 7295, Université de Poitiers, Poitiers, France
| | - Abdelrhani Benraiss
- Centre de Recherches sur la Cognition et l’Apprentissage (CeRCA), UMR CNRS 7295, Université de Poitiers, Poitiers, France
| | - Nathalie André
- Centre de Recherches sur la Cognition et l’Apprentissage (CeRCA), UMR CNRS 7295, Université de Poitiers, Poitiers, France
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8
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Valenzuela PL, Mateo-March M, Muriel X, Zabala M, Lucia A, Barranco-Gil D, Millet GP, Brocherie F, Burtscher J, Burtscher M, Ryan BJ, Gioscia-Ryan RA, Perrey S, Rodrigo-Carranza V, González-Mohíno F, González-Ravé JM, Santos-Concejero J, Denadai BS, Greco CC, Casado A, Foster C, Mazzolari R, Baldrighi GN, Pastorio E, Malatesta D, Patoz A, Borrani F, Ives SJ, DeBlauw JA, Dantas de Lucas R, Borszcz FK, Fernandes Nascimento EM, Antonacci Guglielmo LG, Turnes T, Jaspers RT, van der Zwaard S, Lepers R, Louis J, Meireles A, de Souza HLR, de Oliveira GT, dos Santos MP, Arriel RA, Marocolo M, Hunter B, Meyler S, Muniz-Pumares D, Ferreira RM, Sogard AS, Carter SJ, Mickleborough TD, Saborosa GP, de Oliveira Freitas RD, Alves dos Santos PS, de Souza Ferreira JP, de Assis Manoel F, da Silva SF, Triska C, Karsten B, Sanders D, Lipksi ES, Spindler DJ, Hesselink MKC, Zacca R, Goethel MF, Pyne DB, Wood BM, Allen PE, Gabelhausen JL, Keller AM, Lige MT, Oumsang AS, Smart GL, Paris HL, Dewolf AH, Toffoli G, Martinez-Gonzalez B, Marcora SM, Terson de Paleville D, Fernandes RJ, Soares SM, Abraldes JA, Matta G, Bossi AH, McCarthy DG, Bostad W, Gibala J, Vagula M. Commentaries on Viewpoint: Using V̇o 2max as a marker of training status in athletes - can we do better? J Appl Physiol (1985) 2022; 133:148-164. [PMID: 35819399 DOI: 10.1152/japplphysiol.00224.2022] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Affiliation(s)
- Pedro L Valenzuela
- Grupo de Investigación en Actividad física y Salud (PaHerg), Instituto de Investigación Hospital 12 de Octubre (imas12), Madrid, Spain
| | - Manuel Mateo-March
- Faculty of Sport Sciences, Universidad Europea de Madrid, Madrid, Spain,Sport Science Department. Universidad Miguel Hernández, Elche, Spain
| | - Xabier Muriel
- Human Performance and Sports Science Laboratory, Faculty of Sport Sciences, University of Murcia, Murcia, Spain
| | - Mikel Zabala
- Department of Physical Education & Sport, Faculty of Sport Sciences, University of Granada, Granada, Spain
| | - Alejandro Lucia
- Grupo de Investigación en Actividad física y Salud (PaHerg), Instituto de Investigación Hospital 12 de Octubre (imas12), Madrid, Spain,Faculty of Sport Sciences, Universidad Europea de Madrid, Madrid, Spain
| | | | - Grégoire P Millet
- Institute of Sport Sciences, University of Lausanne, Lausanne, Switzerland
| | - Franck Brocherie
- Laboratory Sport, Expertise and Performance (EA 7370), French Institute of Sport (INSEP), Paris, France
| | - Johannes Burtscher
- Institute of Sport Sciences, University of Lausanne, Lausanne, Switzerland
| | - Martin Burtscher
- Department of Sport Science, University of Innsbruck, Innsbruck, Austria
| | - Benjamin J Ryan
- Thermal and Mountain Medicine Division, US Army Research Institute of Environmental Medicine, Natick, Massachusetts
| | | | - Stephane Perrey
- EuroMov Digital Health in Motion, University of Montpellier, Montpellier, France
| | | | - Fernando González-Mohíno
- Sport Training Lab, University of Castilla-La Mancha, Toledo, Spain,Facultad de Ciencias de la Vida y de la Naturaleza, Universidad Nebrija, Madrid, Spain
| | | | - Jordan Santos-Concejero
- Department of Physical Education and Sport, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Benedito S Denadai
- Human Performance Laboratory, São Paulo State University, Rio Claro, Brazil
| | - Camila C Greco
- Human Performance Laboratory, São Paulo State University, Rio Claro, Brazil
| | - Arturo Casado
- Center for Sport Studies, Rey Juan Carlos University, Madrid, Spain
| | - Carl Foster
- University of Wisconsin-La Crosse, La Crosse, Wisconsin
| | - Raffaele Mazzolari
- Department of Physical Education and Sport, University of the Basque Country (UPV/EHU), Vitoria-Gasteiz, Spain,Department of Molecular Medicine, University of Pavia, Pavia, Italy
| | - Giulia Nicole Baldrighi
- Department of Brain and Behavioural Sciences − Medical and Genomic Statistics Unit, University of Pavia, Pavia, Italy
| | - Elisa Pastorio
- Department of Molecular Medicine, University of Pavia, Pavia, Italy,Department of Biomedical Sciences for Health, University of Milan, Milan, Italy
| | - Davide Malatesta
- Institute of Sport Sciences of University of Lausanne (ISSUL), University of Lausanne, Lausanne, Switzerland
| | - Aurélien Patoz
- Institute of Sport Sciences of University of Lausanne (ISSUL), University of Lausanne, Lausanne, Switzerland
| | - Fabio Borrani
- Institute of Sport Sciences of University of Lausanne (ISSUL), University of Lausanne, Lausanne, Switzerland
| | - Stephen J Ives
- Health and Human Physiological Sciences, Skidmore College, Saratoga Springs, New York
| | - Justin A DeBlauw
- Health and Human Physiological Sciences, Skidmore College, Saratoga Springs, New York
| | | | | | | | | | - Tiago Turnes
- Physical Effort Laboratory, Federal University of Santa Catarina, Florianopolis, Brazil
| | - Richard T Jaspers
- Department of Human Movement Sciences, Amsterdam Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands,Laboratory for Myology, Department of Human Movement Sciences, Amsterdam Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Stephan van der Zwaard
- Department of Human Movement Sciences, Amsterdam Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands,Laboratory for Myology, Department of Human Movement Sciences, Amsterdam Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands,Leiden Institute of Advanced Computer Science, Leiden University, Leiden, The Netherlands
| | - Romuald Lepers
- INSERM UMR1093 CAPS, Faculty of Sport Sciences, University of Bourgogne Franche-Comté, Dijon, France
| | - Julien Louis
- Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, United Kingdom
| | - Anderson Meireles
- Physiology and Human Performance Research Group, Department of Physiology, Federal University of Juiz de Fora, Juiz de Fora, Brazil
| | - Hiago L. R. de Souza
- Physiology and Human Performance Research Group, Department of Physiology, Federal University of Juiz de Fora, Juiz de Fora, Brazil
| | - Géssyca T de Oliveira
- Physiology and Human Performance Research Group, Department of Physiology, Federal University of Juiz de Fora, Juiz de Fora, Brazil
| | - Marcelo P dos Santos
- Physiology and Human Performance Research Group, Department of Physiology, Federal University of Juiz de Fora, Juiz de Fora, Brazil
| | - Rhaí A Arriel
- Physiology and Human Performance Research Group, Department of Physiology, Federal University of Juiz de Fora, Juiz de Fora, Brazil
| | - Moacir Marocolo
- Physiology and Human Performance Research Group, Department of Physiology, Federal University of Juiz de Fora, Juiz de Fora, Brazil
| | - B Hunter
- Department of Psychology, Sport, and Geography, School of Life and Medical Sciences, University of Hertfordshire, Hatfield, United Kingdom
| | - S Meyler
- Department of Psychology, Sport, and Geography, School of Life and Medical Sciences, University of Hertfordshire, Hatfield, United Kingdom
| | - D Muniz-Pumares
- Department of Psychology, Sport, and Geography, School of Life and Medical Sciences, University of Hertfordshire, Hatfield, United Kingdom
| | - Renato M Ferreira
- Aquatic Activities Research Group, Department of Physical Education, Federal University of Ouro Preto, Ouro Preto, Brazil
| | - Abigail S Sogard
- Department of Kinesiology, School of Public Health-Bloomington, Indiana University, Bloomington, Indiana
| | - Stephen J Carter
- Department of Kinesiology, School of Public Health-Bloomington, Indiana University, Bloomington, Indiana,Indiana University Melvin and Bren Simon Comprehensive Cancer Center, Indianapolis, Indiana
| | - Timothy D Mickleborough
- Department of Kinesiology, School of Public Health-Bloomington, Indiana University, Bloomington, Indiana
| | - Guilherme Pereira Saborosa
- Study Group and Research in Neuromuscular Responses, University of Lavras, Lavras, Brazil,Postgraduate Program in Nutrition and Health, University of Lavras, Lavras, Brazil
| | - Raphael Dinalli de Oliveira Freitas
- Study Group and Research in Neuromuscular Responses, University of Lavras, Lavras, Brazil,Postgraduate Program in Nutrition and Health, University of Lavras, Lavras, Brazil
| | - Paula Souza Alves dos Santos
- Study Group and Research in Neuromuscular Responses, University of Lavras, Lavras, Brazil,Postgraduate Program in Nutrition and Health, University of Lavras, Lavras, Brazil
| | - João Pedro de Souza Ferreira
- Study Group and Research in Neuromuscular Responses, University of Lavras, Lavras, Brazil,Postgraduate Program in Nutrition and Health, University of Lavras, Lavras, Brazil
| | | | - Sandro Fernandes da Silva
- Study Group and Research in Neuromuscular Responses, University of Lavras, Lavras, Brazil,Postgraduate Program in Nutrition and Health, University of Lavras, Lavras, Brazil
| | - Christoph Triska
- Institute of Sport Science, Centre for Sport Science and University Sports, University of Vienna, Vienna, Austria,Leistungssport Austria, Brunn am Gebirge, Austria
| | - Bettina Karsten
- European University of Applied Sciences (EUFH), Berlin, Germany
| | - Dajo Sanders
- Department of Nutrition and Movement Sciences, NUTRIM School for Nutrition and Translational Research in Metabolism, Maastricht University Medical Center+, Maastricht, The Netherlands
| | - Elliot S Lipksi
- Department of Nutrition and Movement Sciences, NUTRIM School for Nutrition and Translational Research in Metabolism, Maastricht University Medical Center+, Maastricht, The Netherlands
| | - David J Spindler
- Department of Nutrition and Movement Sciences, NUTRIM School for Nutrition and Translational Research in Metabolism, Maastricht University Medical Center+, Maastricht, The Netherlands
| | - Matthijs K. C. Hesselink
- Department of Nutrition and Movement Sciences, NUTRIM School for Nutrition and Translational Research in Metabolism, Maastricht University Medical Center+, Maastricht, The Netherlands
| | - Rodrigo Zacca
- Research Center in Physical Activity, Health and Leisure (CIAFEL), Faculty of Sports, University of Porto (FADEUP), Porto, Portugal,Laboratory for Integrative and Translational Research in Population Health (ITR), Porto, Portugal
| | - Márcio Fagundes Goethel
- Porto Biomechanics Laboratory (LABIOMEP-UP), University of Porto, Porto, Portugal,Centre of Research, Education, Innovation, and Intervention in Sport (CIFI2D), Faculty of Sports, University of Porto, Porto, Portugal
| | - David Bruce Pyne
- University of Canberra Research Institute for Sport and Exercise (UCRISE), University of Canberra, Canberra, Australia
| | - Brayden M Wood
- Exercise Physiology Laboratory, Department of Sports Medicine, Pepperdine University, Malibu, California
| | - Peyton E Allen
- Exercise Physiology Laboratory, Department of Sports Medicine, Pepperdine University, Malibu, California
| | - Jaden L Gabelhausen
- Exercise Physiology Laboratory, Department of Sports Medicine, Pepperdine University, Malibu, California
| | - Alexandra M Keller
- Exercise Physiology Laboratory, Department of Sports Medicine, Pepperdine University, Malibu, California
| | - Mast T Lige
- Exercise Physiology Laboratory, Department of Sports Medicine, Pepperdine University, Malibu, California
| | - Alicia S Oumsang
- Exercise Physiology Laboratory, Department of Sports Medicine, Pepperdine University, Malibu, California
| | - Greg L Smart
- Exercise Physiology Laboratory, Department of Sports Medicine, Pepperdine University, Malibu, California
| | - Hunter L Paris
- Exercise Physiology Laboratory, Department of Sports Medicine, Pepperdine University, Malibu, California
| | - Arthur H Dewolf
- Laboratory of Physiology and Biomechanics of Human Locomotion, Institute of Neuroscience, Université catholique de Louvain-la-Neuve, Louvain-la-Neuve, Belgium
| | - Guillaume Toffoli
- Department for Life Quality Studies, University of Bologna, Bologna, Italy
| | | | - Samuele M Marcora
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | | | - Ricardo J Fernandes
- Research Center in Physical Activity, Health and Leisure (CIAFEL), Faculty of Sports, University of Porto (FADEUP), Porto, Portugal,Porto Biomechanics Laboratory (LABIOMEP-UP), University of Porto, Porto, Portugal
| | - Susana M Soares
- Research Center in Physical Activity, Health and Leisure (CIAFEL), Faculty of Sports, University of Porto (FADEUP), Porto, Portugal,Porto Biomechanics Laboratory (LABIOMEP-UP), University of Porto, Porto, Portugal
| | - J. Arturo Abraldes
- Research Group MS&SPORT, Faculty of Sports Sciences, University of Murcia, Murcia, Spain
| | - Guilherme Matta
- Faculty of Science, Engineering and Social Sciences, School of Psychology and Life Sciences, Canterbury Christ Church University, Canterbury, United Kingdom
| | - Arthur Henrique Bossi
- MeFit Prehabilitation Service, Medway NHS Foundation Trust, Gillingham, United Kingdom
| | - D G McCarthy
- Department of Kinesiology, McMaster University, Hamilton, Ontario, Canada
| | - W Bostad
- Department of Kinesiology, McMaster University, Hamilton, Ontario, Canada
| | - J Gibala
- Department of Kinesiology, McMaster University, Hamilton, Ontario, Canada
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9
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Iannetta D, Zhang J, Murias JM, Aboodarda SJ. Neuromuscular and perceptual mechanisms of fatigue accompanying task failure in response to moderate-, heavy-, severe-, and extreme-intensity cycling. J Appl Physiol (1985) 2022; 133:323-334. [PMID: 35771217 DOI: 10.1152/japplphysiol.00764.2021] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
A comprehensive characterization of neuromuscular and perceptual mechanisms of fatigue at task failure following exercise across the entire intensity spectrum is lacking. This study evaluated the extent of peripheral and central fatigue, and corresponding perceptual attributes, at task failure following cycling within the moderate-(MOD), heavy-(HVY), severe-(SVR), and extreme-(EXT) intensity domains. After a ramp-incremental test, eleven young males performed four constant-power output trials to the limit of tolerance (Tlim) at four distinct domain-specific workloads. These trials were preceded and followed by 5-s knee-extension maximal voluntary contractions (MVC) and femoral nerve electrical stimuli to quantify peripheral and central fatigue. Additionally, perceptual measures including ratings of global fatigue, legs pain, dyspnea and perceived effort (RPE) were also collected. At Tlim, reductions in MVC were independent of intensity (P>0.05). However, peripheral fatigue was greater following EXT and SVR and progressively, but distinctively, lower following HVY and MOD (P<0.05). Central fatigue was similar after SVR, HVY, and MOD, but absent after EXT (P<0.05). At Tlim, subjective ratings of global fatigue were progressively higher with lower exercise intensities, while ratings of legs pain and dyspnea were progressively higher with higher exercise intensities. On the other hand, RPE was maximal following HVY, SVR, and EXT, but not MOD. The findings demonstrate that at Tlim the extent of peripheral fatigue is highly domain-specific whereas the extent of central fatigue is not. Sensations such as fatigue, pain, and dyspnea may integrate with mechanisms of sense of effort to determine task failure in a manner specific to each intensity domain.
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Affiliation(s)
- Danilo Iannetta
- Faculty of Kinesiology, University of Calgary, Calgary, Alberta, Canada
| | - Jenny Zhang
- Faculty of Kinesiology, University of Calgary, Calgary, Alberta, Canada
| | - Juan M Murias
- Faculty of Kinesiology, University of Calgary, Calgary, Alberta, Canada
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10
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Schlichta C, Cabral LL, da Silva CK, Bigliassi M, Pereira G. Exploring the Impact of Mental Fatigue and Emotional Suppression on the Performance of High-Intensity Endurance Exercise. Percept Mot Skills 2022; 129:1053-1073. [DOI: 10.1177/00315125221093898] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
This study investigated the extent to which mental fatigue and emotional suppression affected exercise endurance. Twelve participants performed cycling endurance tests at 80% of their peak power up to the point of exhaustion. Two experimental conditions (mental fatigue [MF] and emotion suppression conditions [ES]) and a control condition (CO) were administered. Participants responded to psychological measures throughout the exercise trials. Both MF and ES conditions hindered exercise performance relative to the CO, and there was no statistically significant difference between the negative effects of both MF and ES conditions. Of note, however, higher levels of subjective fatigue were reported in MF, prior to commencing the exercise test. High cognitive loads that induce MF and/or engaging in ES may reduce high intensity endurance exercise performance among young adults, but further research with greater numbers of participants is needed to replicate and extend these findings.
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Affiliation(s)
- Clara Schlichta
- Physical Education Department, Federal University of Parana, Curitiba, Brasil
| | - Luana Loss Cabral
- Physical Education Department, Federal University of Parana, Curitiba, Brasil
| | | | - Marcelo Bigliassi
- Department of Teaching and Learning, Florida International University, Miami, FL, USA
| | - Gleber Pereira
- Physical Education Department, Federal University of Parana, Curitiba, Brasil
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11
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Pessoa FDA, Pereira LC, de Oliveira Araújo A, Oliveira GTA, Pereira DC, Elsangedy HM. Mental Fatigue Prior to Aerobic Exercise Reduces Exercise Pleasure and Negatively Affects Implicit Attitudes Toward Future Exercise. Percept Mot Skills 2022; 129:816-832. [DOI: 10.1177/00315125221091158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
We investigated the effects of mental fatigue (MF) on affective responses during an aerobic exercise session at moderate intensity. We submitted 12 insufficiently active adults (50% women; M age = 24.9 years, SD = 3.0; M BMI = 24.3 kg/m2; SD = 2.6) to two 30-minute pre-exercise conditions: an MF condition (Stroop Color-Word task) and a control condition (watching a documentary) prior to their performance of 20 minutes of aerobic treadmill exercise at 40–59% of heart rate reserve. The minimum washout interval between conditions was two days. Perceived MF and motivation to perform physical exercise were assessed before and after conditions with a visual analog scale of 100 mm. We assessed participants’ affective and exertion responses with the Feeling Scale, Rating of Perceived Exertion (RPE) and heart rate during every two minutes of physical exercise. Implicit attitudes toward physical exercise were assessed by the Implicit Association Test before the MF and control conditions and after the physical exercise session. The participants in the MF condition reported lower pleasure ( M difference = −1.57, 95% CI = −2.64 to −0.50, d = 0.93, p = .008) and higher exertion (RPE) ( M difference = 1.16, 95% CI = 0.04 to 2.27, d = 0.66, p = .043) compared to those in the control condition. Participants who experienced MF also reported a more negative implicit attitude toward physical exercise than in the control condition ( β = −0.47, 95% CI= −0.73 to −0.21, d = 1.41, p < .001). While these findings should be cross-validated in subsequent research with a larger and more diverse participant sample, there appears to be value in minimizing pre-exercise mental fatigue to avoid negative MF effects on the exercisers’ affective experience.
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Affiliation(s)
- Felipe de Azevedo Pessoa
- Graduate Program in Physical Education, Federal University of Rio Grande do Norte, Natal, Brazil
| | - Lucas Camilo Pereira
- Graduate Program in Physical Education, Federal University of Rio Grande do Norte, Natal, Brazil
| | | | | | - Daniel Carvalho Pereira
- Graduate Program in Physical Education, Federal University of Rio Grande do Norte, Natal, Brazil
| | - Hassan Mohamed Elsangedy
- Graduate Program in Physical Education, Federal University of Rio Grande do Norte, Natal, Brazil
- Department of Physical Education, Federal University of Rio Grande do Norte, Natal, Brazil
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12
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Fortes LS, Nakamura FY, Lima-Junior D, Ferreira MEC, Fonseca FS. Does Social Media Use on Smartphones Influence Endurance, Power, and Swimming Performance in High-Level Swimmers? RESEARCH QUARTERLY FOR EXERCISE AND SPORT 2022; 93:120-129. [PMID: 32930640 DOI: 10.1080/02701367.2020.1810848] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/28/2020] [Accepted: 08/10/2020] [Indexed: 06/11/2023]
Abstract
Objective: This study aimed to investigate the repeated effect of social media on smartphones immediately before training sessions on inhibitory control (Stroop task), endurance (tethered swimming), countermovement jump (CMJ), and swimming performance (50, 100, and 400-m freestyle) in high-level female swimmers. Methods: It is a randomized and experimental investigation with parallel groups. Twenty-two participants underwent the eight weeks of the experiment. The swimmers (eight to twelve sessions per week with 15.9 ± 1.6 hours/week, and training experience of ~ 5.6 years) were randomized in two groups: control (CON, n = 11) and smartphone (SMA, n = 11). Immediately before each training session, the CON group watched videos about Olympic Games for 30-min. The SMA group used social network smartphone apps during 30-min. The inhibitory control, endurance, CMJ, and swimming performance were measured before and after the eight weeks of intervention. Results: No group x time interaction for 50-m freestyle (F(4, 18) = 1.04; p = .33; η2 = 0.09) and CMJ performance (F(4, 18) = 0.31; p = .58; η2 = 0.03) was found. Both experimental groups improved CMJ (F(2, 20) = 8.71; p = .01; η2 = 0.46). Only the CON group improved the 100-m (p = .02), 400-m freestyle (p = .01), and endurance performance (p = .01). The CON group improved the inhibitory control response (p = .01). Conclusion: It is concluded that the repeated effect of social media on smartphones immediately before swimming training sessions might reduce or nullify training gains on swimming and endurance performance.
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13
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Impact of a Carbohydrate Mouth Rinse on Corticomotor Excitability after Mental Fatigue in Healthy College-Aged Subjects. Brain Sci 2021; 11:brainsci11080972. [PMID: 34439591 PMCID: PMC8391817 DOI: 10.3390/brainsci11080972] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2021] [Revised: 07/15/2021] [Accepted: 07/20/2021] [Indexed: 11/30/2022] Open
Abstract
Mental Fatigue (MF) has been associated with reduced physical performance but the mechanisms underlying this result are unclear. A reduction in excitability of the corticomotor system is a way mental fatigue could negatively impact physical performance. Carbohydrate (CHO) mouth rinse (MR) has been shown to increase corticomotor excitability. PURPOSE: The purpose of this study was to determine if CHO MR impacts corticomotor excitability after MF. METHODS: Fifteen subjects (nine females, six males; age = 23 ± 1 years; height = 171 ± 2 cm; body mass = 69 ± 3 kg; BMI = 23.8 ± 0.7) completed two sessions under different MR conditions (Placebo (PLAC), 6.4% glucose (CHO)) separated by at least 48 h and applied in a double-blinded randomized fashion. Motor-evoked potential (MEP) of the left first dorsal interosseous (FDI) was determined by transcranial magnetic stimulation (TMS) before and after MF. Perceived MF was recorded before and after the MF task using a 100 mm visual analog scale (VAS). RESULTS: MF was greater following PLAC (+30.4 ± 4.0 mm) than CHO (+19.4 ± 3.9 mm) (p = 0.005). MEP was reduced more following PLAC (−16.6 ± 4.4%) than CHO (−3.7 ± 4.7%) (p < 0.001). CONCLUSIONS: CHO MR was successful at attenuating the reduction in corticomotor excitability after MF. Carbohydrate mouth rinse may be a valuable tool at combating the negative consequences of mental fatigue.
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14
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Næss S, Sollie O, Gløersen ØN, Losnegard T. Exercise Intensity and Pacing Pattern During a Cross-Country Olympic Mountain Bike Race. Front Physiol 2021; 12:702415. [PMID: 34349670 PMCID: PMC8326908 DOI: 10.3389/fphys.2021.702415] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Accepted: 06/25/2021] [Indexed: 11/26/2022] Open
Abstract
Objective: To examine the power profiles and pacing patterns in relation to critical power (CP) and maximal aerobic power (MAP) output during a cross-country Olympic (XCO) mountain bike race. Methods: Five male and two female national competitive XCO cyclists completed a UCI Cat. 1 XCO race. The races were 19 km and 23 km and contained five (female) and six (male) laps, respectively. Power output (PO) during the race was measured with the cyclists’ personal power meters. On two laboratory tests using their own bikes and power meters, CP and work capacity above CP (W') were calculated using three time trials of 12, 7, and 3 min, while MAP was established based on a 3-step submaximal test and the maximal oxygen uptake from the 7-min time trial. Results: Mean PO over the race duration (96 ± 7 min) corresponded to 76 ± 9% of CP and 63 ± 4% of MAP. 40 ± 8% of race time was spent with PO > CP, and the mean duration and magnitude of the bouts >CP was ~8 s and ~120% of CP. From the first to last lap, time >CP and accumulated W' per lap decreased with 9 ± 6% and 45 ± 17%, respectively. For single >CP bouts, mean magnitude and mean W' expended decreased by 25 ± 8% and 38 ± 15% from the first to the last lap, respectively. Number and duration of bouts did not change significantly between laps. Conclusion: The highly variable pacing pattern in XCO implies the need for rapid changes in metabolic power output, as a result of numerous separate short-lived >CP actions which decrease in magnitude in later laps, but with little lap-to-lap variation in number and duration.
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Affiliation(s)
- Steffan Næss
- Department of Physical Performance, Norwegian School of Sports Sciences, Oslo, Norway
| | - Ove Sollie
- Department of Physical Performance, Norwegian School of Sports Sciences, Oslo, Norway
| | | | - Thomas Losnegard
- Department of Physical Performance, Norwegian School of Sports Sciences, Oslo, Norway
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15
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Penna EM, Filho E, Campos BT, Ferreira RM, Parma JO, Lage GM, Coswig VS, Wanner SP, Prado LS. No Effects of Mental Fatigue and Cerebral Stimulation on Physical Performance of Master Swimmers. Front Psychol 2021; 12:656499. [PMID: 34290647 PMCID: PMC8287522 DOI: 10.3389/fpsyg.2021.656499] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Accepted: 05/28/2021] [Indexed: 11/13/2022] Open
Abstract
Background: Mental fatigue is a psychobiological state caused by extended periods of cognitive effort, and evidence suggests that mentally fatigued athletes present impaired physical performance. Different ergogenic aids have been proposed to counteract the deleterious effects of mental fatigue, but whether brain stimulation can counteract mental fatigue is still unknown. This scenario is even more obscure considering the effects of these interventions (mental fatigue induction and brain stimulation) in a very experienced population consisting of master athletes. Method: Ten master swimmers (30 ± 6 years old and 14 ± 8 years of experience) participated in the study. They underwent four experimental conditions before an 800-m freestyle test: mental fatigue with brain stimulation; mental fatigue without brain stimulation; absence of mental fatigue with brain stimulation; and absence of mental fatigue and no brain stimulation. Mental fatigue was induced by a cognitively demanding Stroop Color Test, whereas stimulation was applied on the temporal cortex. After that, the athletes swan 800 m as fast as possible and provided their ratings of perceived exertion (RPE) every 200 m. Results: Mental fatigue was effectively induced, as evidenced by a greater fatigue perception and more errors in the last blocks of the cognitive task. Mental fatigue induction did not influence performance (time to complete the swimming trial) and RPE. Similarly, brain stimulation failed to change these two parameters, regardless of mental fatigue induction. Conclusion: The prolonged physical performance of experienced master athletes is not influenced, under the present conditions, by mental fatigue induction, cerebral stimulation, and their association.
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Affiliation(s)
- Eduardo Macedo Penna
- GET/UFPA - Grupo de Estudos em Treinamento Físico e Esportivo, Universidade Federal do Pará, Castanhal, Brazil.,LAFISE - Laboratório de Fisiologia do Exercício, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Edson Filho
- Wheelock College of Education and Human Development, Boston University, Boston, MA, United States
| | - Bruno Teobaldo Campos
- LAFISE - Laboratório de Fisiologia do Exercício, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Renato Melo Ferreira
- LAQUA - Laboratório de Atividades Aquáticas, Universidade Federal de Ouro Preto, Ouro Preto, Brazil
| | - Juliana Otoni Parma
- NNeuroM - Núcleo de Neurociências do Movimento Humano, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Guilherme Menezes Lage
- NNeuroM - Núcleo de Neurociências do Movimento Humano, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Victor Silveira Coswig
- GET/UFPA - Grupo de Estudos em Treinamento Físico e Esportivo, Universidade Federal do Pará, Castanhal, Brazil
| | - Samuel Penna Wanner
- LAFISE - Laboratório de Fisiologia do Exercício, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Luciano Sales Prado
- LAFISE - Laboratório de Fisiologia do Exercício, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.,CTE- Centro de Treinamento Esportivo/UFMG, Belo Horizonte, Brazil
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16
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ZHONG H, EUNGPINICHPONG W, CHATCHAWAN U, WANG C. Effects of mechanical bed massage on subjective feeling of fatigue and performance after exercise-induced back fatigue in athletes: a randomized controlled trial. GAZZETTA MEDICA ITALIANA ARCHIVIO PER LE SCIENZE MEDICHE 2021. [DOI: 10.23736/s0393-3660.19.04192-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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17
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Russell S, Jenkins DG, Halson SL, Juliff LE, Kelly VG. How do elite female team sport athletes experience mental fatigue? Comparison between international competition, training and preparation camps. Eur J Sport Sci 2021; 22:877-887. [PMID: 33764275 DOI: 10.1080/17461391.2021.1897165] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
Mental fatigue has been shown to negatively influence physical, technical and tactical aspects of sporting performance. However, mental fatigue is not routinely monitored or managed in elite sport and it is not clear whether mental fatigue occurs and/or changes across the varied contextual demands experienced by elite athletes in training, preparation and competition. This study explored self-report measures of mental fatigue across eight training camps and six competition periods (two benchmark tournaments and four international test series) with international netballers (n = 22, 25.9 ± 2.7 years) during the 2018-2019 representative period. Mental fatigue was higher during training camps (p < 0.001; 3.20 [3.12, 3.27]) and preparation camps (p < 0.05; 3.27 [3.19, 3.34]) compared to the competition periods (3.49 [3.44, 3.55]). Significant within-group differences were also identified between individual preparation camps and competition subsets. Higher mental fatigue was reported during the preparation camp for international test series 2 comparative to the preparation camp for benchmark tournament 1 (p = 0.047). For individual competitions; greater mental fatigue was found during the international test series 3 competition in comparison to both the benchmark tournament 1 (p <0.001) and international test series 1 (p = 0.020) competition periods. International representative netballers experience differing levels of mental fatigue across training and preparation camps and competition periods. Practitioners should be aware that athletes report instances of elevated mental fatigue across camps, and competition. Mental fatigue is not limited to competition and thus is recommended to be monitored during periods of training and preparation for competition. HighlightsInternational representative netballers experience differing levels of mental fatigue across camp and competition environments.Mental fatigue was higher during training camps and preparation camps compared to the competition periods.Mental fatigue is not limited to competition so is recommended to be monitored during periods of training and preparation for competition.
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Affiliation(s)
- Suzanna Russell
- School of Human Movement & Nutrition Sciences, The University of Queensland, Brisbane, Australia.,Queensland Academy of Sport, Nathan, Australia
| | - David G Jenkins
- School of Human Movement & Nutrition Sciences, The University of Queensland, Brisbane, Australia.,School of Health and Sport Sciences, University of The Sunshine Coast, Sippy Downs, Australia
| | - Shona L Halson
- School of Behavioural and Health Sciences, Australian Catholic University, McAuley at Banyo, Australia
| | - Laura E Juliff
- Netball Australia, High-performance Unit, Melbourne, Australia
| | - Vincent G Kelly
- School of Exercise & Nutrition Sciences, Queensland University of Technology, Brisbane, Australia
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18
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Feldmann A, Erlacher D. Critical oxygenation: Can muscle oxygenation inform us about critical power? Med Hypotheses 2021; 150:110575. [PMID: 33857860 DOI: 10.1016/j.mehy.2021.110575] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2020] [Revised: 02/17/2021] [Accepted: 03/14/2021] [Indexed: 11/19/2022]
Abstract
The power-duration relationship is well documented for athletic performance and is formulated out mathematically in the critical power (CP) model. The CP model, when applied properly, has great predictive power, e.g. pedaling at a specific power output on an ergometer the model precisely calculates the time over which an athlete can sustain this power. However, CP presents physiological inconsistencies and process-oriented problems. The rapid development of near-infrared spectroscopy (NIRS) to measure muscle oxygenation (SmO2) dynamics provides a physiological exploration of the CP model on a conceptual and empirical level. Conceptually, the CP model provides two components: first CP is defined as the highest metabolic rate that can be achieved through oxidative means. And second, work capacity above CP named W'. SmO2 presents a steady-state in oxygen supply and demand and thereby represents CP specifically at a local level of analysis. Empirically, exploratory data quickly illustrates the relationship between performance and SmO2, as shown during 3-min all-out cycling tests to assess CP. During these tests, performance and SmO2 essentially mirror each other, and both CP and W' generate solid correlation with what would be deemed their SmO2 counterparts: first, the steady-state of SmO2 correlates with CP. And second, the tissue oxygen reserve represented in SmO2, when calculated as an integral corresponds to W'. While the empirical data presented is preliminary, the proposition of a concurring physiological model to the current CP model is a plausible inference. Here we propose that SmO2 steady-state representing CP as critical oxygenation or CO. And the tissue oxygen reserve above CO would then be identified as O'. This new CO model could fill in the physiological gap between the highly predictive CP model and at times its inability to track human physiology consistently. For simplicity's sake, this would include acute changes in physiology as a result of changing climate or elevation with travel, which can affect performance. These types of acute fluctuations, but not limited to, would be manageable when applying a CO model in conjunction with the CP model. Further, modeling is needed to investigate the true potential of NIRS to model CP, with a focus on repeatability, recovery, and systemic vs local workloads.
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Affiliation(s)
- Andri Feldmann
- Institute of Sport Science, University of Bern, Bern Bremgartenstrasse 145, 3012 Bern, Switzerland.
| | - Daniel Erlacher
- Institute of Sport Science, University of Bern, Bern Bremgartenstrasse 145, 3012 Bern, Switzerland
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19
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Clemente FM, Ramirez-Campillo R, Castillo D, Raya-González J, Silva AF, Afonso J, Sarmento H, Rosemann T, Knechtle B. Effects of Mental Fatigue in Total Running Distance and Tactical Behavior During Small-Sided Games: A Systematic Review With a Meta-Analysis in Youth and Young Adult's Soccer Players. Front Psychol 2021; 12:656445. [PMID: 33815237 PMCID: PMC8009995 DOI: 10.3389/fpsyg.2021.656445] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Accepted: 02/22/2021] [Indexed: 11/28/2022] Open
Abstract
Background: Mental fatigue can impact physical demands and tactical behavior in sport-related contexts. Small-sided games (SSGs) are often used to develop a specific sport-related context. However, the effects of mental fatigue on physical demands and tactical behaviors during soccer SSGs have not been aggregated for systematical assessment. Objective: This systematic review (with a meta-analysis) was conducted to compare the effects of mental fatigue vs. control conditions in terms of the total running distance and tactical behavior of soccer players during SSGs. Methods: The data sources utilized were PubMed, PsycINFO, Scielo, Scopus, SPORTDiscus, and Web of Science. The study eligibility criteria were established based on PICOS: (i) Population: healthy youth and young adult men soccer players with regular training practice and belonging to teams with regular competitions; (ii) Intervention: exposed to mental fatigue-induced protocols only before SSGs; (iii) Comparator: control conditions (passive or active not promoting mental fatigue) before SSGs; (iv) Outcomes: physical demands (total running distance) and tactical behavior (attacking behavior accuracy, pass decision-making accuracy, and space exploration index); (v) Study design: counterbalanced cross-over design; and (vi) only full-text and original articles written in English. Results: The database search initially identified 111 titles. From those, six articles were eligible for the systematic review and meta-analysis. Results showed no significant effect of fatigue on total running distance (ES = 0.13; p = 0.307) and tactical behavior (ES = 0.56; p = 0.079). Conclusions: A non-significant effect of mental fatigue on total running distance and tactical behaviors performed by soccer players during SSGs was found in this systematic review.
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Affiliation(s)
- Filipe Manuel Clemente
- Escola Superior Desporto e Lazer, Instituto Politécnico de Viana Do Castelo, Rua Escola Industrial e Comercial de Nun'Álvares, Viana Do Castelo, Portugal.,Instituto de Telecomunicações, Delegação da Covilhã, Lisboa, Portugal
| | - Rodrigo Ramirez-Campillo
- Human Performance Laboratory, Department of Physical Activity Sciences, Universidad de Los Lagos, Santiago, Chile.,Centro de Investigación en Fisiología del Ejercicio, Facultad de Ciencias, Universidad Mayor, Santiago, Chile
| | - Daniel Castillo
- Faculty of Health Sciences, Universidad Isabel I, Burgos, Spain
| | | | - Ana Filipa Silva
- N2i, Polytechnic Institute of Maia, Maia, Portugal.,The Research Centre in Sports Sciences, Health Sciences and Human Development (CIDESD), Vila Real, Portugal
| | - José Afonso
- Centre for Research, Education, Innovation and Intervention in Sport, Faculty of Sport of the University of Porto, Porto, Portugal
| | - Hugo Sarmento
- University of Coimbra, Research Unit for Sport and Physical Activity, Faculty of Sport Sciences and Physical Education, Coimbra, Portugal
| | - Thomas Rosemann
- Institute of Primary Care, University of Zurich, Zurich, Switzerland
| | - Beat Knechtle
- Institute of Primary Care, University of Zurich, Zurich, Switzerland.,Medbase St. Gallen Am Vadianplatz, St. Gallen, Switzerland
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20
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Batista MM, Paludo AC, DA Silva MP, Martins MV, Pauli PH, Dal'maz G, Stefanello JM, Tartaruga MP. Effect of mental fatigue on performance, perceptual and physiological responses in orienteering athletes. J Sports Med Phys Fitness 2021; 61:673-679. [PMID: 33586924 DOI: 10.23736/s0022-4707.21.11334-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
BACKGROUND Mental fatigue seems to impair the athletes' performance; however, in sports with high cognitive demand, such as orienteering, this negative effect could be attenuated during the race. Therefore, this study investigated mental fatigue effect on performance, perceptual, and physiological responses in orienteers. METHODS Fifteen male orienteers (30±8 years) participated in the study. Two conditions of cognitive tasks preceded the orienteering performance, performed randomly: 30 minutes of mental exertion (experimental condition [EXP]) by Stroop task, or 30 min without mental exertion (control condition [CON]). Orienteering performance was determined by the time required to perform the Orienteering race. The perceived recovery and motivation were evaluated in each condition, pre-cognitive task, and heart rate during the task. Perceived exertion (RPE) was measured pre- and post-orienteering race. Orienteering performance and perceived performance were measured immediately after the race. RESULTS Orienteering performance and remain variables showed no significant differences between conditions (EXP versus CON) (P>0.05). Although a slight increase in performance-time was found in EXP (40.8±11.4 min) versus CON (38.4±13 min) (P=0.4; ES=0.20). RPE increase post-EXP (P<0.05; ES=0.96) but not post-orienteering race (P>0.05). CONCLUSIONS Thirty minutes of the cognitive task did not significantly affect the perceptual and physiological responses but demonstrates the addition of 2.4 minutes to orienteering performance. Orienteers may cope with mental effort due to the cognitive demands and physical conditions required in orienteering.
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Affiliation(s)
| | - Ana C Paludo
- Department of Physical Education, State University of Midwestern Paraná, Guarapuava, Brazil
| | - Michael P DA Silva
- Department of Physical Education, State University of Midwestern Paraná, Guarapuava, Brazil
| | - Marcos V Martins
- Department of Physical Education, State University of Midwestern Paraná, Guarapuava, Brazil
| | | | - Gabriela Dal'maz
- Department of Physical Education, State University of Midwestern Paraná, Guarapuava, Brazil
| | | | - Marcus P Tartaruga
- Federal University of Paraná, Curitiba, Brazil.,Department of Physical Education, State University of Midwestern Paraná, Guarapuava, Brazil
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21
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Determinants of last lap speed in paced and maximal 1500-m time trials. Eur J Appl Physiol 2020; 121:525-537. [PMID: 33151439 DOI: 10.1007/s00421-020-04543-x] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2020] [Accepted: 10/26/2020] [Indexed: 10/23/2022]
Abstract
PURPOSE The present study identified the physiological and performance characteristics that are deterministic during a maximal 1500-m time trial and in paced 1500-m time trials, with an all-out last lap. METHODS Thirty-two trained middle-distance runners (n = 21 male, VO2peak: 72.1 ± 3.2; n = 11, female, VO2peak: 61.2 ± 3.7 mL kg-1 min-1) completed a 1500-m time trial in the fastest time possible (1500FAST) as well as a 1500MOD and 1500SLOW trial whereby mean speed was reduced during the 0-1100 m by 5% and 10%, respectively. Anaerobic speed reserve (ASR), running economy (RE), the velocity corresponding with VO2peak (VVO2peak), maximal sprint speed (MSS) and maximal accumulated oxygen deficit (MAOD) were determined during additional testing. Carnosine content was quantified by proton magnetic resonance spectroscopy in the gastrocnemius and expressed as a Z-score to estimate muscle fibre typology. RESULTS 1500FAST time was best explained by RE and VVO2peak in female runners (adjusted r2 = 0.80, P < 0.001), in addition to the 0-1100-m speed relative to VVO2peak in male runners (adjusted r2 = 0.72, P < 0.001). Runners with a higher gastrocnemius carnosine Z-score (i.e., higher estimated percentage of type II fibres) and greater MAOD, reduced their last lap time to a greater extent in the paced 1500-m trials. Neither ASR nor MSS was associated with last lap time in the paced trials. CONCLUSION These findings suggest that VVO2 peak and RE are key determinants of 1500-m running performance with a sustained pace from the start, while a higher carnosine Z-score and MAOD are more important for last lap speed in tactical 1500-m races.
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22
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Mental Fatigue Might Be Not So Bad for Exercise Performance After All: A Systematic Review and Bias-Sensitive Meta-Analysis. J Cogn 2020; 3:38. [PMID: 33103052 PMCID: PMC7546119 DOI: 10.5334/joc.126] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
There is an ongoing debate in the scientific community regarding whether a state of mental fatigue may have a negative effect upon a range of objective and subjective measures of human performance. This issue has attracted attention from several fields, including sport and exercise sciences. In fact, a considerable body of literature in the sport science field has suggested that performing a long and demanding cognitive task might lead to a state of mental fatigue, impairing subsequent exercise performance, although research in this field has shown contradictory results. Here, we performed a meta-analysis to investigate these inconsistent findings. The analysis yielded small-to-medium effects of mental fatigue on exercise performance, d z = 0.50, and RPE, d z = 0.21. However, a three-parameter selection model also revealed evidence of publication or reporting biases, suggesting that the bias-corrected estimates might be substantially lower (0.08 and 0.10, respectively) and non-significant. In sum, current evidence does not provide conclusive support for the claim that mental fatigue has a negative influence on exercise performance.
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23
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The Application of Critical Power, the Work Capacity above Critical Power (W'), and its Reconstitution: A Narrative Review of Current Evidence and Implications for Cycling Training Prescription. Sports (Basel) 2020; 8:sports8090123. [PMID: 32899777 PMCID: PMC7552657 DOI: 10.3390/sports8090123] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Revised: 08/28/2020] [Accepted: 09/02/2020] [Indexed: 12/17/2022] Open
Abstract
The two-parameter critical power (CP) model is a robust mathematical interpretation of the power–duration relationship, with CP being the rate associated with the maximal aerobic steady state, and W′ the fixed amount of tolerable work above CP available without any recovery. The aim of this narrative review is to describe the CP concept and the methodologies used to assess it, and to summarize the research applying it to intermittent cycle training techniques. CP and W′ are traditionally assessed using a number of constant work rate cycling tests spread over several days. Alternatively, both the 3-min all-out and ramp all-out protocols provide valid measurements of CP and W′ from a single test, thereby enhancing their suitability to athletes and likely reducing errors associated with the assumptions of the CP model. As CP represents the physiological landmark that is the boundary between heavy and severe intensity domains, it presents several advantages over the de facto arbitrarily defined functional threshold power as the basis for cycle training prescription at intensities up to CP. For intensities above CP, precise prescription is not possible based solely on aerobic measures; however, the addition of the W′ parameter does facilitate the prescription of individualized training intensities and durations within the severe intensity domain. Modelling of W′ reconstitution extends this application, although more research is needed to identify the individual parameters that govern W′ reconstitution rates and their kinetics.
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24
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Gandia Soriano A, Carpes FP, Rodríguez Fernández A, Priego-Quesada JI. Effect of cycling specialization on effort and physiological responses to uphill and flat cycling at similar intensity. Eur J Sport Sci 2020; 21:854-860. [PMID: 32672508 DOI: 10.1080/17461391.2020.1785016] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
Power output is considered one of the best tools to control external loads in cycling, but the relationship between a target power output and the physiological responses may suffer from the effects of road gradient, which is also affected by cyclist specialization. The objective was to determine the effects of cyclist specialization on effort perception and physiological response (heart rate and lactate concentration) while sustaining efforts at similar power output but riding on two different road gradients. Nineteen male competitive road cyclists performed two randomized trials of 10 min at 0% (velodrome) and 10 min at 6% road gradient (field uphill), at an intensity of 10% ± 3% below the individual's functional threshold power. Cadence was kept between 75 and 80 rpm in both trials and posture remained unchanged during the tests. Heart rate, speed, cadence, power output, blood lactate, and rate of perceived effort were measured for each trial. K-means cluster analyses differentiate uphill (n = 10) and flat specialists (n = 9) according to lactate responses. Flat specialists presented lower heart rate (p < 0.001 and ES = 0.2), perceived exertion (p < 0.01 and ES = 0.7), and blood lactate concentration (p < 0.001 and ES = 0.7) riding on the flat than uphill. Uphill specialists presented lower perceived exertion (p < 0.01 and ES = 0.8) and blood lactate concentration (p < 0.01 and ES = 0.5) riding uphill than on the flat. In conclusion, the combination of cyclist specialization and road gradient affects physiological and effort perception parameters in response to a similar power output demand. These factors deserve attention in training schedules and monitoring performance using power output data.
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Affiliation(s)
- Alexis Gandia Soriano
- Biophysics and Medical Physics Group, Department of Physiology, University of Valencia, Valencia, Spain
| | - Felipe P Carpes
- Applied Neuromechanics Group, Laboratory of Neuromechanics, Federal University of Pampa, Uruguaiana, Brazil
| | | | - Jose Ignacio Priego-Quesada
- Biophysics and Medical Physics Group, Department of Physiology, University of Valencia, Valencia, Spain.,Research Group in Sports Biomechanics (GIBD), Department of Physical Education and Sports, University of Valencia, Valencia, Spain
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25
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Raimundo JA, Ribeiro G, Lisbôa FD, Pereira GS, Loch T, De Aguiar RA, Martins EC, Caputo F. The effects of predictive trials on critical stroke rate and critical swimming speed. J Sports Med Phys Fitness 2020; 60:1329-1334. [PMID: 32614153 DOI: 10.23736/s0022-4707.20.10846-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
BACKGROUND Critical swimming speed (CSS) and critical stroke rate (CSR) have important practical applications in evaluating endurance capacity and stroke parameters. The CSS and CSR are determined from the linear regression between two or more performance times with the respective predictive distance or "number of stroke cycles," respectively. It is already known that CSS is dependent on the number and duration of the predictive trials chosen, and performance times ranging from 2 to 12 min have been recommended. However, the effects of predictive trials on the CSR have not been reported. It was hypothesized that CSS and CSR determined by different predictive trials lasting 2 to 12 min would elicit similar values. Therefore, the purpose of the present study was to determine the impact of different combinations of predictive trials lasting 2 to 12 min on both CSR and CSS. METHODS Thirteen swimmers performed three fixed-distance (200, 400, and 800 m) performances. All possible combinations of CSR and CSS with two (CSR<inf>200-400</inf>/CSS<inf>200-400</inf>, CSR<inf>200-800</inf>/CSS<inf>200-800</inf>, CSR<inf>400-800</inf>/CSS<inf>400-800</inf>) and three (CSR<inf>200-400-800</inf>/CSS<inf>200-400-800</inf>) trials were determined. RESULTS No significant differences were found between CSR and CSS determined with different predictive distance tests. In addition, CSR<inf>200-800</inf> and CSS<inf>200-800</inf> showed the lowest coefficient of variation and highest intraclass correlation coefficients with CSR<inf>200-400-800</inf> and CSS<inf>200-400-800</inf>, respectively. CONCLUSIONS This study demonstrated that CSR and CSS were not statistically different when determined with different predictive trials located within the recommended durations of 2-12 min. Nevertheless, CSR<inf>200-800</inf> and CSS<inf>200-800</inf> exhibited the best consistency with CSR<inf>200-400-800</inf> and CSS<inf>200-400-800</inf>, respectively.
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Affiliation(s)
- João A Raimundo
- Human Performance Research Group, Center for Health Sciences and Sport, Santa Catarina State University, Florianópolis, Brazil -
| | - Guilherme Ribeiro
- Human Performance Research Group, Center for Health Sciences and Sport, Santa Catarina State University, Florianópolis, Brazil
| | - Felipe D Lisbôa
- Human Performance Research Group, Center for Health Sciences and Sport, Santa Catarina State University, Florianópolis, Brazil
| | - Gustavo S Pereira
- Human Performance Research Group, Center for Health Sciences and Sport, Santa Catarina State University, Florianópolis, Brazil.,Aquatic Biomechanics Research Laboratory, Center for Health Sciences and Sport, Santa Catarina State University, Florianópolis, Brazil
| | - Thiago Loch
- Human Performance Research Group, Center for Health Sciences and Sport, Santa Catarina State University, Florianópolis, Brazil
| | - Rafael A De Aguiar
- Human Performance Research Group, Center for Health Sciences and Sport, Santa Catarina State University, Florianópolis, Brazil
| | - Eduardo C Martins
- Human Performance Research Group, Center for Health Sciences and Sport, Santa Catarina State University, Florianópolis, Brazil
| | - Fabrizio Caputo
- Human Performance Research Group, Center for Health Sciences and Sport, Santa Catarina State University, Florianópolis, Brazil
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26
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Johnson MA, Williams NC, Graham AW, Ingram LAL, Cooper SB, Sharpe GR. Effects of Prior Upper Body Exercise on the 3-min All-Out Cycling Test in Men. Med Sci Sports Exerc 2020; 52:2402-2411. [PMID: 32366795 DOI: 10.1249/mss.0000000000002395] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
INTRODUCTION Prior upper body exercise reduces the curvature constant (W') of the hyperbolic power-duration relationship without affecting critical power. This study tested the hypothesis that prior upper body exercise reduces the work done over the end-test power (WEP; analog of W') during a 3-min all-out cycling test (3MT) without affecting the end-test power (EP; analog of critical power). METHODS Ten endurance-trained men (V˙O2max = 62 ± 5 mL·kg·min) performed a 3MT without (CYC) and with (ARM-CYC) prior severe-intensity, intermittent upper body exercise. EP was calculated as the mean power output over the last 30 s of the 3MT, whereas WEP was calculated as the power-time integral above EP. RESULTS At the start of the 3MT, plasma [La] (1.8 ± 0.4 vs 14.1 ± 3.4 mmol·L) and [H] (42.8 ± 3.1 vs 58.6 ± 5.5 nmol·L) were higher, whereas the strong ion difference (41.4 ± 2.2 vs 30.9 ± 4.6 mmol·L) and [HCO3] (27.0 ± 1.9 vs 16.9 ± 3.2 mmol·L) were lower during ARM-CYC than CYC (P < 0.010). EP was 12% lower during the 3MT of ARM-CYC (298 ± 52 W) than CYC (338 ± 60 W; P < 0.001), whereas WEP was not different (CYC: 12.8 ± 3.3 kJ vs ARM-CYC: 13.5 ± 4.1 kJ, P = 0.312). EP in CYC was positively correlated with the peak [H] (r = 0.78, P = 0008) and negatively correlated with the lowest [HCO3] (r = -0.74, P = 0.015). CONCLUSIONS These results suggest that EP during a 3MT in endurance-trained men is sensitive to fatigue-related ionic perturbation.
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Affiliation(s)
- Michael A Johnson
- Exercise and Health Research Group, Sport, Health and Performance Enhancement (SHAPE) Research Centre, School of Science and Technology, Nottingham Trent University, Nottingham, UNITED KINGDOM
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27
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Dekerle J, Ulrike Schafer L, Greenhouse-Tucknott A, Hayes M. Reply to 'The relationship between W' and peripheral fatigue considered'. Exp Physiol 2019; 105:213-214. [PMID: 31883168 DOI: 10.1113/ep088279] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2019] [Accepted: 11/22/2019] [Indexed: 11/08/2022]
Affiliation(s)
- Jeanne Dekerle
- University of Brighton, Eastbourne, BN20 7SR, United Kingdom
| | | | | | - Mark Hayes
- University of Brighton, Eastbourne, BN20 7SR, United Kingdom
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28
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Brown DMY, Graham JD, Innes KI, Harris S, Flemington A, Bray SR. Effects of Prior Cognitive Exertion on Physical Performance: A Systematic Review and Meta-analysis. Sports Med 2019; 50:497-529. [DOI: 10.1007/s40279-019-01204-8] [Citation(s) in RCA: 65] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
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29
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Giboin LS, Wolff W. The effect of ego depletion or mental fatigue on subsequent physical endurance performance: A meta-analysis. ACTA ACUST UNITED AC 2019. [DOI: 10.1016/j.peh.2019.100150] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
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30
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Franco-Alvarenga PE, Brietzke C, Canestri R, Goethel MF, Hettinga F, Santos TM, Pires FO. Caffeine improved cycling trial performance in mentally fatigued cyclists, regardless of alterations in prefrontal cortex activation. Physiol Behav 2019; 204:41-48. [DOI: 10.1016/j.physbeh.2019.02.009] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2018] [Revised: 02/08/2019] [Accepted: 02/08/2019] [Indexed: 10/27/2022]
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31
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Abplanalp SJ, Fulford D. Physical effort exertion and pain: Links with trait-based risk for psychopathology. Psychiatry Res 2019; 271:46-51. [PMID: 30465981 DOI: 10.1016/j.psychres.2018.10.010] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2018] [Revised: 10/03/2018] [Accepted: 10/03/2018] [Indexed: 11/27/2022]
Abstract
People with serious mental illness (SMI) are at an increased risk for physical health complications, such as cardiovascular disease and obesity. Low levels of physical activity is a major contributor to these health complications. One factor associated with limited physical activity in the broader sedentary population is pain. While preliminary findings suggest an association between lack of physical activity and pain in SMI, conclusions are still unclear. Thus, the goal of this correlational study was to examine associations between trait-based risk for psychopathology (hypomanic personality, schizotypy, and anhedonic depression) and the experience of pain following a physical endurance/effort task. Healthy participants (N = 43; 18 females) completed self-report measures of trait-based risk for psychopathology. They also reported on the experience of pain before and after the Time To Exhaustion (TTE) test. Findings revealed that risk for psychosis and anhedonic depression were associated with increases in pain following the TTE test, accounting for other key variables, such as age and self-reported physical exercise. Risk for mania was unrelated to changes in pain. These results suggest that the experience of pain in relation to physical endurance/effort may contribute to diminished physical activity among people at risk for SMI.
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Affiliation(s)
- Samuel J Abplanalp
- College of Health and Rehabilitation Sciences, Sargent College, Boston University, Boston, MA, United States.
| | - Daniel Fulford
- College of Health and Rehabilitation Sciences, Sargent College, Boston University, Boston, MA, United States; Department of Psychological & Brain Sciences, Boston University, Boston, MA, United States
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Russell S, Jenkins D, Smith M, Halson S, Kelly V. The application of mental fatigue research to elite team sport performance: New perspectives. J Sci Med Sport 2018; 22:723-728. [PMID: 30606625 DOI: 10.1016/j.jsams.2018.12.008] [Citation(s) in RCA: 51] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2018] [Revised: 11/10/2018] [Accepted: 12/08/2018] [Indexed: 10/27/2022]
Abstract
OBJECTIVES Mental fatigue resulting from prolonged periods of demanding cognitive activity, has been found to impair endurance exercise performance and performance in some sport-specific tasks. The application of such research to the elite sporting environment however is limited. DESIGN & METHODS This article reviews the literature relevant to mental fatigue and team sporting performance with aim to provide perspectives on the transferability and significance of currently available evidence to the applied elite sporting context. RESULTS Inconsistent findings in the limited available literature can be attributed to large variations in the participants involved, the nature of the cognitively demanding tasks used to induce mental fatigue and the tests used to assess performance outcomes. Few studies have used trained athletes in combination with performance tests that accurately represent the physiological and technical demands experienced by athletes in competition. While there is growing interest in the acute influence of mental fatigue on exercise performance, a potential cumulative effect of mental fatigue on performance over, for example, a competitive season is an area yet to be investigated. CONCLUSIONS If it is accepted that mental fatigue impairs the performance of some athletes, then improving the ecological validity of research in the area of mental fatigue and sport will significantly advance our understanding of how to better monitor and manage mental fatigue. At the elite level of competition, where outcomes are determined by very small margins of difference, reducing the impact of mental fatigue on performance has potential to be significant.
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Affiliation(s)
- Suzanna Russell
- School of Human Movement and Nutrition Sciences, The University of Queensland, Australia; Queensland Academy of Sport, Australia; High Performance Department, Netball Australia, Australia.
| | - David Jenkins
- School of Human Movement and Nutrition Sciences, The University of Queensland, Australia.
| | - Mitchell Smith
- School of Environmental & Life Sciences, The University of Newcastle, Australia.
| | - Shona Halson
- School of Behavioural and Health Sciences, Australian Catholic University, Australia.
| | - Vincent Kelly
- School of Exercise and Nutrition Sciences, Queensland University of Technology, Australia.
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Wingfield G, Marino F, Skein M. The influence of knowledge of performance endpoint on pacing strategies, perception of effort, and neural activity during 30-km cycling time trials. Physiol Rep 2018; 6:e13892. [PMID: 30426727 PMCID: PMC6234147 DOI: 10.14814/phy2.13892] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2018] [Accepted: 09/24/2018] [Indexed: 12/02/2022] Open
Abstract
It is understood that withholding information during exercise can alter performance during self-paced exercise, though less is known about neural activity during such exercise. The aim of this study was to compare the effects of withholding versus providing distance feedback on perception, muscular activation, and cerebral activity during cycling time trials (TT). Nine well-trained male cyclists randomly completed 2 x 30-km TT, with provision of performance information and distance feedback (known; KTT), and without performance information and remaining distance (unknown; UTT). Prefrontal cortex (PFC) hemoglobin concentration, electroencephalogy (EEG) responses of the parietal lobe (PL) and motor cortex (MC), and surface electromyogram (EMG) of the right thigh were monitored throughout the TTs, in addition to heart rate (HR), rating of perceived exertion (RPE), and power output (PO). Time to completion was shorter for the KTT compared to UTT (51.04 ± 3.26 vs. 49.25 ± 3.57 min, P = 0.01). There were no differences evident for RPE between conditions (P > 0.50). However, during the final 2 km, the KTT presented higher PO (P ≤ 0.05), HR (P = 0.03) and MC, and PL EEG activity (d = 0.51-0.71) in addition to increased tissue hemoglobin index (nTHI) and oxygen extraction (HHb) (d = 0.55-0.65) compared to the UTT. In conclusion, when withholding information pertaining to remaining distance, performance was reduced due to the application of a conservative pacing strategy. In addition, the increase in HHb across the PFC was strongly correlated with PO (r = 0.790; P < 0.001) suggesting knowledge about remaining distance may increase activation across the PFC. Further, it appears that changes within the PFC may play a role in the regulation of cycling performance.
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Affiliation(s)
- Georgia Wingfield
- School of Exercise Science, Sport and HealthCharles Sturt UniversityBathurstNew South WalesAustralia
| | - Frank Marino
- School of Exercise Science, Sport and HealthCharles Sturt UniversityBathurstNew South WalesAustralia
| | - Melissa Skein
- School of Exercise Science, Sport and HealthCharles Sturt UniversityBathurstNew South WalesAustralia
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Validity and Reliability of the 3-Minute All-Out Test in National and International Competitive Swimmers. Int J Sports Physiol Perform 2018; 13:1190-1198. [PMID: 29651887 DOI: 10.1123/ijspp.2018-0018] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
PURPOSE To assess the concurrent and predictive validity of the 3-minute all-out test (3MT) against conventional methods (CM) of determining critical speed (CS) and curvature constant (D') and to examine the test-retest reliability of the 3MT in highly trained swimmers. METHODS Thirteen highly trained swimmers (age 16 [2] y, weight 64.7 [8.5] kg, height 1.76 [0.07] m) completed 4 time trials and two 3MTs over 2 wk. The distance-time (DT) and speed-1/time (1/T) models were used to determine CS and D' from 4 time trials. CS3MT and [Formula: see text] were determined as the mean speed in the final 30 s of 3MT and as the speed-time integral above CS, respectively. RESULTS CS3MT (1.33 [0.06] m·s-1) did not differ from CSCM (1.33 [0.06] m·s-1, P > .05) and correlated nearly perfectly with CSCM (r = .95, P < .0001). [Formula: see text] (19.50 [3.52] m) was lower than [Formula: see text] (23.30 [6.24] m, P < .05) and [Formula: see text] (22.15 [5.75] m, P = .09). Correlations between [Formula: see text] and [Formula: see text] were very large (r = .79, P = .002). CS and D' between the two 3MT trials were not different (CS mean change = -0.009 m·s-1, P = .102; D' mean change = 0.82 m, P = .221). Correlations between the two 3MT trials were nearly perfect and very large for CS (r = .97) and D' (r = .87, P < .05), respectively, with coefficients of variation of 0.9% for CS and 9.1% for D'. CONCLUSION The 3MT is a valid protocol for estimation of CS and produces high test-retest reliability for CS and D' in highly trained swimmers.
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CLARK IDAE, VANHATALO ANNI, BAILEY STEPHENJ, WYLIE LEEJ, KIRBY BRETTS, WILKINS BRADW, JONES ANDREWM. Effects of Two Hours of Heavy-Intensity Exercise on the Power–Duration Relationship. Med Sci Sports Exerc 2018. [DOI: 10.1249/mss.0000000000001601] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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Bertuzzi R, Gáspari AF, Trojbicz LR, Silva-Cavalcante MD, Lima-Silva AE, Billaut F, Girard O, Millet GP, Bossi AH, Hopker J, Pandeló DR, Fulton TJ, Paris HL, Chapman RF, Grosicki GJ, Murach KA, Hureau TJ, Dufour SP, Favret F, Kruse NT, Nicolò A, Sacchetti M, Pedralli M, Pinheiro FA, Tricoli V, Brietzke C, Pires FO, Sandford GN, Pearson S, Kilding AE, Ross A, Laursen PB, da Silveira ALB, Olivares EL, de Azevedo Cruz Seara F, Miguel-dos-Santos R, Mesquita TRR, Nelatury S, Vagula M. Commentaries on Viewpoint: Resistance training and exercise tolerance during high-intensity exercise: moving beyond just running economy and muscle strength. J Appl Physiol (1985) 2018; 124:529-535. [PMID: 29480788 DOI: 10.1152/japplphysiol.01064.2017] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Affiliation(s)
- Romulo Bertuzzi
- Endurance Performance Research Group (GEDAE-USP), University of São Paulo, São Paulo, Brazil
| | - Arthur F. Gáspari
- Endurance Performance Research Group (GEDAE-USP), University of São Paulo, São Paulo, Brazil
| | - Lucas R. Trojbicz
- Endurance Performance Research Group (GEDAE-USP), University of São Paulo, São Paulo, Brazil
| | - Marcos D. Silva-Cavalcante
- Endurance Performance Research Group (GEDAE-USP), University of São Paulo, São Paulo, Brazil,Sport Science Research Group, Federal University of Pernambuco, Pernambuco, Brazil
| | - Adriano E. Lima-Silva
- Sport Science Research Group, Federal University of Pernambuco, Pernambuco, Brazil,Human Performance Research Group, Technological Federal University of Parana, Parana, Brazil
| | | | - Oliver Girard
- Qatar Orthopaedic and Sports Medicine Hospital, Doha, Qatar
| | - Grégoire P. Millet
- Faculty of Biology and Medicine, Institute of Sport Sciences, University of Lausanne, Lausanne, Switzerland
| | - Arthur Henrique Bossi
- School of Sport and Exercise Sciences University of Kent, Chatham Maritime, Chatham, Kent, England
| | - James Hopker
- School of Sport and Exercise Sciences University of Kent, Chatham Maritime, Chatham, Kent, England
| | - Domingos R. Pandeló
- Federal University of São Paulo Centro de Alta Performance (High Performance Center)
| | | | | | | | - Gregory J. Grosicki
- Nutrition, Exercise Physiology and Sarcopenia Laboratory, Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA
| | - Kevin A. Murach
- Department of Rehabilitation Sciences and Center for Muscle Biology, University of Kentucky, Lexington, KY
| | - Thomas J. Hureau
- University of Strasbourg Faculty of Medicine, Mitochondria, Oxidative Stress and Muscular Protection Laboratory, Strasbourg, France
| | - Stéphane P. Dufour
- University of Strasbourg Faculty of Medicine, Mitochondria, Oxidative Stress and Muscular Protection Laboratory, Strasbourg, France
| | - Fabrice Favret
- University of Strasbourg Faculty of Medicine, Mitochondria, Oxidative Stress and Muscular Protection Laboratory, Strasbourg, France
| | - Nicholas T. Kruse
- Department of Physical Therapy and Rehabilitation Science, Carver College of Medicine, University of Iowa
| | - Andrea Nicolò
- Department of Movement, Human and Health Sciences, University of Rome “Foro Italico”, Rome, Italy
| | - Massimo Sacchetti
- Department of Movement, Human and Health Sciences, University of Rome “Foro Italico”, Rome, Italy
| | - Marinei Pedralli
- Department of Kinesiology & Health Education, Cardiovascular Aging Research Laboratory, The University of Texas at Austin, Austin, TX
| | - Fabiano A. Pinheiro
- Laboratory of Adaptation to Strength Training, School of Physical Education and Sport, University of São Paulo, São Paulo, Brazil,Exercise Psychophysiology Research Group, School of Arts, Sciences and Humanities, University of São Paulo, São Paulo, Brazil
| | - Valmor Tricoli
- Laboratory of Adaptation to Strength Training, School of Physical Education and Sport, University of São Paulo, São Paulo, Brazil
| | - Cayque Brietzke
- Exercise Psychophysiology Research Group, School of Arts, Sciences and Humanities, University of São Paulo, São Paulo, Brazil
| | - Flávio Oliveira Pires
- Exercise Psychophysiology Research Group, School of Arts, Sciences and Humanities, University of São Paulo, São Paulo, Brazil
| | - Gareth N. Sandford
- Sport Performance Research Institute New Zealand (SPRINZ), Auckland University of Technology, Auckland, New Zealand,High Performance Sport New Zealand, Auckland, New Zealand,Athletics New Zealand, Auckland, New Zealand
| | - Simon Pearson
- Sport Performance Research Institute New Zealand (SPRINZ), Auckland University of Technology, Auckland, New Zealand,Queensland Academy of Sport, Nathan, Australia
| | - Andrew E. Kilding
- Sport Performance Research Institute New Zealand (SPRINZ), Auckland University of Technology, Auckland, New Zealand
| | - Angus Ross
- High Performance Sport New Zealand, Auckland, New Zealand,Athletics New Zealand, Auckland, New Zealand
| | - Paul B. Laursen
- Sport Performance Research Institute New Zealand (SPRINZ), Auckland University of Technology, Auckland, New Zealand,High Performance Sport New Zealand, Auckland, New Zealand
| | - Anderson Luiz B. da Silveira
- Laboratory of Physiology and Human Performance, Department of Physical Education and Sports, Federal Rural University of Rio de Janeiro, Brazil
| | - Emerson Lopes Olivares
- Laboratory of Cardiovascular Physiology and Pharmacology, Department of Physiological Sciences, Federal Rural University of Rio de Janeiro, Brazil
| | - Fernando de Azevedo Cruz Seara
- Laboratory of Cardiac Electrophysiology, Carlos Chagas Filho Department of Biophysics, Federal University of Rio de Janeiro, Brazil
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Relationship between power–duration parameters and mechanical and anthropometric properties of the thigh in elite cyclists. Eur J Appl Physiol 2018; 118:637-645. [DOI: 10.1007/s00421-018-3807-1] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2017] [Accepted: 01/14/2018] [Indexed: 10/18/2022]
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The effects of mental fatigue on sport-related performance. PROGRESS IN BRAIN RESEARCH 2018; 240:291-315. [DOI: 10.1016/bs.pbr.2018.10.004] [Citation(s) in RCA: 64] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
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