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Peyré-Tartaruga LA, Machado E, Guimarães P, Borba E, Tartaruga MP, Buzzachera CF, Correale L, Lanferdini FJ, da Silva ES. Biomechanical, physiological and anthropometrical predictors of performance in recreational runners. PeerJ 2024; 12:e16940. [PMID: 38426136 PMCID: PMC10903338 DOI: 10.7717/peerj.16940] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Accepted: 01/23/2024] [Indexed: 03/02/2024] Open
Abstract
Background The maximal running speed (VMAX) determined on a graded treadmill test is well-recognized as a running performance predictor. However, few studies have assessed the variables that predict VMAX in recreationally active runners. Methods We used a mathematical procedure combining Fick's law and metabolic cost analysis to verify the relation between (1) VMAX versus anthropometric and physiological determinants of running performance and, (2) theoretical metabolic cost versus running biomechanical parameters. Linear multiple regression and bivariate correlation were applied. We aimed to verify the biomechanical, physiological, and anthropometrical determinants of VMAX in recreationally active runners. Fifteen recreationally active runners participated in this observational study. A Conconi and a stead-steady running test were applied using a heart rate monitor and a simple video camera to register the physiological and mechanical variables, respectively. Results Statistical analysis revealed that the speed at the second ventilatory threshold, theoretical metabolic cost, and fat-mass percentage confidently estimated the individual running performance as follows: VMAX = 58.632 + (-0.183 * fat percentage) + (-0.507 * heart rate percentage at second ventilatory threshold) + (7.959 * theoretical metabolic cost) (R2 = 0.62, p = 0.011, RMSE = 1.50 km.h-1). Likewise, the theoretical metabolic cost was significantly explained (R2 = 0.91, p = 0.004, RMSE = 0.013 a.u.) by the running spatiotemporal and elastic-related parameters (contact and aerial times, stride length and frequency, and vertical oscillation) as follows: theoretical metabolic cost = 10.421 + (4.282 * contact time) + (-3.795 * aerial time) + (-2.422 * stride length) + (-1.711 * stride frequency) + (0.107 * vertical oscillation). Conclusion Critical determinants of elastic mechanism, such as maximal vertical force and vertical and leg stiffness were unrelated to the metabolic economy. VMAX, a valuable marker of running performance, and its physiological and biomechanical determinants can be effectively evaluated using a heart rate monitor, treadmill, and a digital camera, which can be used in the design of training programs to recreationally active runners.
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Affiliation(s)
- Leonardo A. Peyré-Tartaruga
- Human Performance Laboratory (LocoLab), Department of Public Health, Experimental Medicine and Forensic Sciences, University of Pavia, Pavia, Italy
- LaBiodin, Biodynamics Laboratory, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | - Esthevan Machado
- LaBiodin, Biodynamics Laboratory, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | - Patrick Guimarães
- LaBiodin, Biodynamics Laboratory, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | - Edilson Borba
- LaBiodin, Biodynamics Laboratory, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
- Postgraduate Program in Physical Education, Universidade Federal do Paraná, Curitiba, Brazil
| | - Marcus P. Tartaruga
- Postgraduate Program in Physical Education, Universidade Federal do Paraná, Curitiba, Brazil
- Department of Physical Education, Universidade Estadual do Centro Oeste do Paraná, Guarapuava, Brazil
| | - Cosme F. Buzzachera
- Human Performance Laboratory (LocoLab), Department of Public Health, Experimental Medicine and Forensic Sciences, University of Pavia, Pavia, Italy
| | - Luca Correale
- Human Performance Laboratory (LocoLab), Department of Public Health, Experimental Medicine and Forensic Sciences, University of Pavia, Pavia, Italy
| | - Fábio Juner Lanferdini
- LaBiodin, Biodynamics Laboratory, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
- Biomechanics Laboratory, Universidade Federal de Santa Maria, Santa Maria, Brazil
| | - Edson Soares da Silva
- LaBiodin, Biodynamics Laboratory, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
- Inter-university Laboratory of Human Movement Biology, UJM-Saint-Etienne, Saint-Etienne, France
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Mackala K, Mroczek D, Chmura P, Konefał M, Pawlik D, Ochman B, Chmura J, Paleczny B, Seredyński R, Wyciszkiewicz M, Nowicka-Czudak A, Łopusiewicz W, Adamiec D, Wiecha S, Ponikowski P, Ponikowska B. Impact of marathon performance on muscles stiffness in runners over 50 years old. Front Psychol 2023; 14:1069774. [PMID: 36910804 PMCID: PMC9998500 DOI: 10.3389/fpsyg.2023.1069774] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Accepted: 02/06/2023] [Indexed: 03/14/2023] Open
Abstract
Introduction The research examines the relationship between marathon performance and muscle stiffness changes from pre to marathon in recreational runners aged 50+ years. Methods Thirty-one male long-distance runners aged 50-73 years participated in the experiment. The muscle stiffness of quadriceps and calves was measured in two independent sessions: the day before the marathon and 30 min after the completed marathon run using a Myoton device. Results and Discussion The 42.195-km run was completed in 4.30,05 h ± 35.12 min, which indicates an intensity of 79.3% ± 7.1% of HRmax. The long-term, low-intensity running exercise (marathon) in older recreational runners and the low level of HRmax and VO2max showed no statistically significant changes in muscle stiffness (quadriceps and calves). There was reduced muscle stiffness (p = 0.016), but only in the triceps of the calf in the dominant (left) leg. Moreover, to optimally evaluate the marathon and adequately prepare for the performance training program, we need to consider the direct and indirect analyses of the running economy, running technique, and HRmax and VO2max variables. These variables significantly affect marathon exercise.
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Affiliation(s)
- Krzysztof Mackala
- Department of Track and Field, Wroclaw University of Health and Sport Sciences, Wroclaw, Poland
| | - Dariusz Mroczek
- Department of Human Motor Skills, Wroclaw University of Health and Sport Sciences, Wroclaw, Poland
| | - Paweł Chmura
- Department of Sport Team Games, Wroclaw University of Health and Sport Sciences, Wroclaw, Poland
| | - Marek Konefał
- Department of Human Motor Skills, Wroclaw University of Health and Sport Sciences, Wroclaw, Poland
| | - Damian Pawlik
- Department of Human Motor Skills, Wroclaw University of Health and Sport Sciences, Wroclaw, Poland
| | - Bartosz Ochman
- Department of Physiology, Wroclaw University of Health and Sport Sciences, Wroclaw, Poland
| | - Jan Chmura
- Department of Human Motor Skills, Wroclaw University of Health and Sport Sciences, Wroclaw, Poland
| | - Bartłomiej Paleczny
- Department of Physiology and Pathophysiology, Wroclaw Medical University, Wroclaw, Poland
| | - Rafał Seredyński
- Department of Physiology and Pathophysiology, Wroclaw Medical University, Wroclaw, Poland
| | | | | | - Wojciech Łopusiewicz
- Department of Physiology and Pathophysiology, Wroclaw Medical University, Wroclaw, Poland
| | - Dorota Adamiec
- Department of Physiology and Pathophysiology, Wroclaw Medical University, Wroclaw, Poland
| | - Szczepan Wiecha
- Department of Physical Education and Health in Biala Podlaska, Faculty in Biala Podlaska, The Jozef Pilsudski University of Physical Education in Warsaw, Biala Podlaska, Poland
| | - Piotr Ponikowski
- Department of Heart Diseases, Wroclaw Medical University, Wroclaw, Poland
| | - Beata Ponikowska
- Center for Heart Diseases, University Hospital in Wroclaw, Wroclaw, Poland
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Wiecha S, Kasiak PS, Cieśliński I, Maciejczyk M, Mamcarz A, Śliż D. Modeling Physiological Predictors of Running Velocity for Endurance Athletes. J Clin Med 2022; 11:jcm11226688. [PMID: 36431165 PMCID: PMC9696488 DOI: 10.3390/jcm11226688] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Revised: 10/26/2022] [Accepted: 11/09/2022] [Indexed: 11/16/2022] Open
Abstract
Background: Properly performed training is a matter of importance for endurance athletes (EA). It allows for achieving better results and safer participation. Recently, the development of machine learning methods has been observed in sports diagnostics. Velocity at anaerobic threshold (VAT), respiratory compensation point (VRCP), and maximal velocity (Vmax) are the variables closely corresponding to endurance performance. The primary aims of this study were to find the strongest predictors of VAT, VRCP, Vmax, to derive and internally validate prediction models for males (1) and females (2) under TRIPOD guidelines, and to assess their machine learning accuracy. Materials and Methods: A total of 4001 EA (nmales = 3300, nfemales = 671; age = 35.56 ± 8.12 years; BMI = 23.66 ± 2.58 kg·m-2; VO2max = 53.20 ± 7.17 mL·min-1·kg-1) underwent treadmill cardiopulmonary exercise testing (CPET) and bioimpedance body composition analysis. XGBoost was used to select running performance predictors. Multivariable linear regression was applied to build prediction models. Ten-fold cross-validation was incorporated for accuracy evaluation during internal validation. Results: Oxygen uptake, blood lactate, pulmonary ventilation, and somatic parameters (BMI, age, and body fat percentage) showed the highest impact on velocity. For VAT R2 = 0.57 (1) and 0.62 (2), derivation RMSE = 0.909 (1); 0.828 (2), validation RMSE = 0.913 (1); 0.838 (2), derivation MAE = 0.708 (1); 0.657 (2), and validation MAE = 0.710 (1); 0.665 (2). For VRCP R2 = 0.62 (1) and 0.67 (2), derivation RMSE = 1.066 (1) and 0.964 (2), validation RMSE = 1.070 (1) and 0.978 (2), derivation MAE = 0.832 (1) and 0.752 (2), validation MAE = 0.060 (1) and 0.763 (2). For Vmax R2 = 0.57 (1) and 0.65 (2), derivation RMSE = 1.202 (1) and 1.095 (2), validation RMSE = 1.205 (1) and 1.111 (2), derivation MAE = 0.943 (1) and 0.861 (2), and validation MAE = 0.944 (1) and 0.881 (2). Conclusions: The use of machine-learning methods allows for the precise determination of predictors of both submaximal and maximal running performance. Prediction models based on selected variables are characterized by high precision and high repeatability. The results can be used to personalize training and adjust the optimal therapeutic protocol in clinical settings, with a target population of EA.
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Affiliation(s)
- Szczepan Wiecha
- Department of Physical Education and Health in Biala Podlaska, Faculty in Biala Podlaska, Józef Piłsudski University of Physical Education in Warsaw, 21-500 Biala Podlaska, Poland
- Correspondence: (S.W.); (D.Ś.)
| | - Przemysław Seweryn Kasiak
- Student’s Scientific Circle of Lifestyle Medicine, 3rd Department of Internal Medicine and Cardiology, Medical University of Warsaw, 04-749 Warsaw, Poland
| | - Igor Cieśliński
- Department of Physical Education and Health in Biala Podlaska, Faculty in Biala Podlaska, Józef Piłsudski University of Physical Education in Warsaw, 21-500 Biala Podlaska, Poland
| | - Marcin Maciejczyk
- Department of Physiology and Biochemistry, Faculty of Physical Education and Sport, University of Physical Education in Krakow, 31-571 Kraków, Poland
| | - Artur Mamcarz
- 3rd Department of Internal Medicine and Cardiology, Medical University of Warsaw, 04-749 Warsaw, Poland
| | - Daniel Śliż
- 3rd Department of Internal Medicine and Cardiology, Medical University of Warsaw, 04-749 Warsaw, Poland
- Correspondence: (S.W.); (D.Ś.)
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Wang Z, Zhang Q, Lan K, Yang Z, Gao X, Wu A, Xin Y, Zhang Z. Enhancing instantaneous oxygen uptake estimation by non-linear model using cardio-pulmonary physiological and motion signals. Front Physiol 2022; 13:897412. [PMID: 36105296 PMCID: PMC9465676 DOI: 10.3389/fphys.2022.897412] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Accepted: 07/29/2022] [Indexed: 11/30/2022] Open
Abstract
Oxygen uptake (VO2) is an important parameter in sports medicine, health assessment and clinical treatment. At present, more and more wearable devices are used in daily life, clinical treatment and health care. The parameters obtained by wearables have great research potential and application prospect. In this paper, an instantaneous VO2 estimation model based on XGBoost was proposed and verified by using data obtained from a medical-grade wearable device (Beijing SensEcho) at different posture and activity levels. Furthermore, physiological characteristics extracted from single-lead electrocardiogram, thoracic and abdominal respiration signal and tri-axial acceleration signal were studied to optimize the model. There were 29 healthy volunteers recruited for the study to collect data while stationary (lying, sitting, standing), walking, Bruce treadmill test and recuperating with SensEcho and the gas analyzer (Metalyzer 3B). The results show that the VO2 values estimated by the proposed model are in good agreement with the true values measured by the gas analyzer (R2 = 0.94 ± 0.03, n = 72,235), and the mean absolute error (MAE) is 1.83 ± 0.59 ml/kg/min. Compared with the estimation method using a separate heart rate as input, our method reduced MAE by 54.70%. At the same time, other factors affecting the performance of the model were studied, including the influence of different input signals, gender and movement intensity, which provided more enlightenment for the estimation of VO2. The results show that the proposed model based on cardio-pulmonary physiological signals as inputs can effectively improve the accuracy of instantaneous VO2 estimation in various scenarios of activities and was robust between different motion modes and state. The VO2 estimation method proposed in this paper has the potential to be used in daily life covering the scenario of stationary, walking and maximal exercise.
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Affiliation(s)
- Zhao Wang
- Medical School of Chinese PLA, Beijing, China
| | - Qiang Zhang
- School of Life Science, Beijing Institute of Technology, Beijing, China
| | - Ke Lan
- Beijing SensEcho Science and Technology Co Ltd, Beijing, China
| | - Zhicheng Yang
- PAII Inc., Palo Alto, Santa Clara, CA, United States
| | - Xiaolin Gao
- Institute of Sports Science, General Administration of Sport of China, Beijing, China
| | - Anshuo Wu
- The Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, United States
| | - Yi Xin
- School of Life Science, Beijing Institute of Technology, Beijing, China
- *Correspondence: Yi Xin, ; Zhengbo Zhang,
| | - Zhengbo Zhang
- Center for Artificial Intelligence in Medicine, Chinese PLA General Hospital, Beijing, China
- *Correspondence: Yi Xin, ; Zhengbo Zhang,
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Modelling 5-km Running Performance on Level and Hilly Terrains in Recreational Runners. BIOLOGY 2022; 11:biology11050789. [PMID: 35625517 PMCID: PMC9138284 DOI: 10.3390/biology11050789] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Revised: 05/16/2022] [Accepted: 05/19/2022] [Indexed: 11/25/2022]
Abstract
Incline and level running on treadmills have been extensively studied due to their different cardiorespiratory and biomechanical acute responses. However, there are no studies examining the performance determinants of outdoor running on hilly terrains. We aimed to investigate the influence of anthropometrics, muscle strength, and cardiorespiratory and gait spatiotemporal parameters during level (0%) and inclined (+7%) running on performance in level and hilly 5-km races. Twenty male recreational runners completed two 5-km outdoor running tests (0% vs. +7% and −7%), and two submaximal (10 km·h−1) and incremental treadmill tests at 0 and 7% slopes, after complete laboratory evaluations. The velocity at maximal oxygen consumption (VO2max) evaluated at 7% incline and level treadmill running were the best performance predictors under both hilly (R2 = 0.72; p < 0.05) and level (R2 = 0.85; p < 0.01) conditions, respectively. Inclusion of ventilatory and submaximal heart rate data improved the predictive models up to 100%. Conversely, none of the parameters evaluated in one condition contributed to the other condition. The spatiotemporal parameters and the runners’ strength levels were not associated to outdoor performances. These results indicate that the vVO2max evaluated at similar slopes in the lab can be used to predict 5-km running performances on both level and hilly terrains.
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Martini AD, Dalleck LC, Mejuto G, Larwood T, Weatherwax RM, Ramos JS. Changes in the Second Ventilatory Threshold Following Individualised versus Standardised Exercise Prescription among Physically Inactive Adults: A Randomised Trial. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19073962. [PMID: 35409646 PMCID: PMC8997390 DOI: 10.3390/ijerph19073962] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/06/2022] [Revised: 03/16/2022] [Accepted: 03/23/2022] [Indexed: 01/13/2023]
Abstract
The second ventilatory threshold (VT2) is established as an important indicator of exercise intensity tolerance. A higher VT2 allows for greater duration of higher intensity exercise participation and subsequently greater reductions in cardiovascular disease (CVD) risk. This study aimed to compare the efficacy of standardised and individualised exercise prescription on VT2 among physically inactive adults. Forty-nine physically inactive male and female participants (48.6 ± 11.5 years) were recruited and randomised into a 12-week standardised (n = 25) or individualised (n = 24) exercise prescription intervention. The exercise intensity for the standardised and individualised groups was prescribed as a percentage of heart rate reserve (HRR) or relative to the first ventilatory threshold (VT1) and VT2, respectively. Participants were required to complete a maximal graded exercise test at pre-and post-intervention to determine VT1 and VT2. Participants were categorised as responders to the intervention if an absolute VT2 change of at least 1.9% was attained. Thirty-eight participants were included in the analysis. A significant difference in VT2 change was found between individualised (pre vs. post: 70.6% vs. 78.7% maximum oxygen uptake (VO2max)) and standardised (pre vs. post: 72.5% vs. 72.3% VO2max) exercise groups. Individualised exercise prescription was significantly more efficacious (p = 0.04) in eliciting a positive response in VT2 (15/19, 79%) when compared to the standardised exercise group (9/19, 47%). Individualised exercise prescription appears to be more efficacious than standardised exercise prescription in eliciting a positive VT2 change among physically inactive adults. Increasing VT2 allows for greater tolerance to higher exercise intensities and therefore greater cardiovascular health outcomes.
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Affiliation(s)
- Alex D. Martini
- SHAPE Research Centre, Caring Futures Institute, Clinical Exercise Physiology, College of Nursing and Health Sciences, Flinders University, Adelaide, SA 5042, Australia; (A.D.M.); (L.C.D.); (T.L.)
| | - Lance C. Dalleck
- SHAPE Research Centre, Caring Futures Institute, Clinical Exercise Physiology, College of Nursing and Health Sciences, Flinders University, Adelaide, SA 5042, Australia; (A.D.M.); (L.C.D.); (T.L.)
- Recreation, Exercise, and Sport Science Department, Western Colorado University, Gunnison, CO 81231, USA
| | - Gaizka Mejuto
- Faculty of Education, University of the Basque Country, 48940 Leioa, Spain;
| | - Trent Larwood
- SHAPE Research Centre, Caring Futures Institute, Clinical Exercise Physiology, College of Nursing and Health Sciences, Flinders University, Adelaide, SA 5042, Australia; (A.D.M.); (L.C.D.); (T.L.)
| | - Ryan M. Weatherwax
- Health and Kinesiology Department, University of Utah, Salt Lake City, UT 84112, USA;
| | - Joyce S. Ramos
- SHAPE Research Centre, Caring Futures Institute, Clinical Exercise Physiology, College of Nursing and Health Sciences, Flinders University, Adelaide, SA 5042, Australia; (A.D.M.); (L.C.D.); (T.L.)
- Correspondence:
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Machado E, Lanferdini FJ, da Silva ES, Geremia JM, Sonda FC, Fletcher JR, Vaz MA, Peyré-Tartaruga LA. Triceps Surae Muscle-Tendon Properties as Determinants of the Metabolic Cost in Trained Long-Distance Runners. Front Physiol 2022; 12:767445. [PMID: 35058793 PMCID: PMC8764303 DOI: 10.3389/fphys.2021.767445] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Accepted: 11/26/2021] [Indexed: 11/13/2022] Open
Abstract
Purpose: This study aimed to determine whether triceps surae’s muscle architecture and Achilles tendon parameters are related to running metabolic cost (C) in trained long-distance runners. Methods: Seventeen trained male recreational long-distance runners (mean age = 34 years) participated in this study. C was measured during submaximal steady-state running (5 min) at 12 and 16 km h–1 on a treadmill. Ultrasound was used to determine the gastrocnemius medialis (GM), gastrocnemius lateralis (GL), and soleus (SO) muscle architecture, including fascicle length (FL) and pennation angle (PA), and the Achilles tendon cross-sectional area (CSA), resting length and elongation as a function of plantar flexion torque during maximal voluntary plantar flexion. Achilles tendon mechanical (force, elongation, and stiffness) and material (stress, strain, and Young’s modulus) properties were determined. Stepwise multiple linear regressions were used to determine the relationship between independent variables (tendon resting length, CSA, force, elongation, stiffness, stress, strain, Young’s modulus, and FL and PA of triceps surae muscles) and C (J kg–1m–1) at 12 and 16 km h–1. Results: SO PA and Achilles tendon CSA were negatively associated with C (r2 = 0.69; p < 0.001) at 12 km h–1, whereas SO PA was negatively and Achilles tendon stress was positively associated with C (r2 = 0.63; p = 0.001) at 16 km h–1, respectively. Our results presented a small power, and the multiple linear regression’s cause-effect relation was limited due to the low sample size. Conclusion: For a given muscle length, greater SO PA, probably related to short muscle fibers and to a large physiological cross-sectional area, may be beneficial to C. Larger Achilles tendon CSA may determine a better force distribution per tendon area, thereby reducing tendon stress and C at submaximal speeds (12 and 16 km h–1). Furthermore, Achilles tendon morphological and mechanical properties (CSA, stress, and Young’s modulus) and triceps surae muscle architecture (GM PA, GM FL, SO PA, and SO FL) presented large correlations with C.
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Affiliation(s)
- Esthevan Machado
- Laboratório de Pesquisa do Exercício, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.,Department of Health and Physical Education, Mount Royal University, Calgary, AB, Canada
| | - Fábio Juner Lanferdini
- Laboratório de Pesquisa do Exercício, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.,Laboratório de Biomecânica, Universidade Federal de Santa Catarina, Florianópolis, Brazil
| | - Edson Soares da Silva
- Laboratório de Pesquisa do Exercício, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Jeam Marcel Geremia
- Laboratório de Pesquisa do Exercício, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Francesca Chaida Sonda
- Laboratório de Pesquisa do Exercício, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Jared R Fletcher
- Department of Health and Physical Education, Mount Royal University, Calgary, AB, Canada
| | - Marco Aurélio Vaz
- Laboratório de Pesquisa do Exercício, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
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Yamagishi T, Saito A, Kawakami Y. Determinants of whole-body maximal aerobic performance in young male and female athletes: The roles of lower extremity muscle size, strength and power. PLoS One 2022; 17:e0262507. [PMID: 35020757 PMCID: PMC8754349 DOI: 10.1371/journal.pone.0262507] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Accepted: 12/27/2021] [Indexed: 11/30/2022] Open
Abstract
This study sought to determine whether lower extremity muscle size, power and strength could be a determinant of whole-body maximal aerobic performance in athletes. 20 male and 19 female young athletes (18 ± 4 years) from various sporting disciplines participated in this study. All athletes performed a continuous ramp-incremental cycling to exhaustion for the determination of peak oxygen uptake ( V˙O2peak: the highest V˙O2 over a 15-s period) and maximal power output (MPO: power output corresponding to V˙O2peak). Axial scanning of the right leg was performed with magnetic resonance imaging, and anatomical cross-sectional areas (CSAs) of quadriceps femoris (QF) and hamstring muscles at 50% of thigh length were measured. Moreover, bilateral leg extension power and unilateral isometric knee extension and flexion torque were determined. All variables were normalised to body mass, and six independent variables ( V˙O2peak, CSAs of thigh muscles, leg extension power and knee extension and flexion torque) were entered into a forward stepwise multiple regression model with MPO being dependent variable for males and females separately. In the males, V˙O2peak was chosen as the single predictor of MPO explaining 78% of the variance. In the females, MPO was attributed to, in the order of importance, V˙O2peak (p < 0.001) and the CSA of QF (p = 0.011) accounting for 84% of the variance. This study suggests that while oxygen transport capacity is the main determinant of MPO regardless of sex, thigh muscle size also has a role in whole-body maximal aerobic performance in female athletes.
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Affiliation(s)
- Takaki Yamagishi
- Faculty of Sport Sciences, Waseda University, Saitama, Japan
- Department of Sport Science, Japan Institute of Sport Sciences, Tokyo, Japan
| | - Akira Saito
- Center for Health and Sports Science, Kyushu Sangyo University, Fukuoka, Japan
| | - Yasuo Kawakami
- Faculty of Sport Sciences, Waseda University, Saitama, Japan
- Human Performance Laboratory, Comprehensive Research Organization, Waseda University, Tokyo, Japan
- * E-mail:
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Gras D, Lanhers C, Bagheri R, Ugbolue UC, Coudeyre E, Pereira B, Zak M, Bouillon-Minois JB, Dutheil F. Creatine supplementation and VO 2max: a systematic review and meta-analysis. Crit Rev Food Sci Nutr 2021:1-12. [PMID: 34859731 DOI: 10.1080/10408398.2021.2008864] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
Although creatine supplementation is well-known to increase exercise performance in acute high-intensity exercises, its role in aerobic performance based on VO2max is more controversial. Thus, we performed a systematic review and meta-analysis on the effects of creatine supplementation on VO2max. PubMed, Cochrane, Embase, and ScienceDirect were searched for randomized controlled trials (RCTs) reporting VO2max in creatine supplementation and placebo groups before and after supplementation. We computed a random-effects meta-analysis on VO2max at baseline, within groups following supplementation, on changes on VO2max between groups, and after supplementation between groups. Sensitivity analyses and meta-regression were conducted. We included 19 RCTs for a total of 424 individuals (mean age 30 years old, 82% men). VO2max did not differ at baseline between groups (creatine and placebo). Participants in both groups were engaged in exercise interventions in most studies (80%). Using changes in VO2max, VO2max increased in both groups but increased less after creatine supplementation than placebo (effect size [ES] = -0.32, 95%CI = -0.51 to -0.12, p = 0.002). Comparisons after creatine supplementation confirmed a lower VO2max in the creatine group compared to the placebo group (ES= -0.20, 95%CI = -0.39 to -0.001, p = 0.049). Meta-analysis after exclusion from meta-funnel resulted in similar outcomes in a subgroup of young and healthy participants. Meta-regressions on characteristics of supplementation, physical training, or sociodemographic were not statistically significant. Creatine supplementation has a negative effect on VO2max, regardless of the characteristics of training, supplementation, or population characteristics.Supplemental data for this article is available online at https://doi.org/10.1080/10408398.2021.2008864 .
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Affiliation(s)
- Damien Gras
- CHU Clermont-Ferrand, Physical and Rehabilitation Medicine, Université Clermont Auvergne, University Hospital of Clermont-Ferrand, Clermont-Ferrand, France
| | - Charlotte Lanhers
- CHU Clermont-Ferrand, Physical and Rehabilitation Medicine, Université Clermont Auvergne, University Hospital of Clermont-Ferrand, Clermont-Ferrand, France
| | - Reza Bagheri
- Department of Exercise Physiology, University of Isfahan, Isfahan, Iran
| | - Ukadike Chris Ugbolue
- University of the West of Scotland, School of Health and Life Sciences, Institute for Clinical Exercise & Health Science, South Lanarkshire, Scotland, UK
| | - Emmanuel Coudeyre
- INRAE, Human Nutrition Unit (UNH), Université Clermont Auvergne, University Hospital of Clermont-Ferrand, CHU Clermont-Ferrand, Physical and Rehabilitation Medicine, Clermont-Ferrand, France
| | - Bruno Pereira
- CHU Clermont-Ferrand, Biostatistics, University Hospital of Clermont-Ferrand, Clermont-Ferrand, France
| | - Marek Zak
- Faculty of Medicine and Health Sciences, Institute of Physiotherapy, The Jan Kochanowski University, Kielce, Poland
| | - Jean-Baptiste Bouillon-Minois
- Université Clermont Auvergne, CNRS, LaPSCo, Physiological and Psychosocial Stress, University Hospital of Clermont-Ferrand, CHU Clermont-Ferrand, Emergency Medicine, Clermont-Ferrand, France
| | - Frédéric Dutheil
- Université Clermont Auvergne, CNRS, LaPSCo, Physiological and Psychosocial Stress, University Hospital of Clermont-Ferrand, CHU Clermont-Ferrand, Occupational and Environmental Medicine, WittyFit, Clermont-Ferrand, France
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10
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Pinto MS, Sánchez C, Martins N, Menegaldo LL, Pompeu F, de Oliveira LF. Effect of Achilles Tendon Mechanics on the Running Economy of Elite Endurance Athletes. Int J Sports Med 2021; 42:1128-1136. [PMID: 33784785 DOI: 10.1055/a-1403-2606] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
The Achilles tendon stores and releases strain energy, influencing running economy. The present study aims to verify the influence of the Achilles tendon tangent modulus, as a material property, on running economy by comparing two groups of elite endurance-performance athletes undergoing different running training volumes. Twelve athletes, six long-distance runners and six pentathletes, were studied. Long-distance runners had a higher weekly running training volume (116.7±13.7 vs. 58.3±20.4 km, p<0.05) and a better running economy (204.3±12.0 vs. 222.0±8.7 O2 mL ∙ kg-1 ∙ km-1, p<0.05) evaluated in a treadmill at 16 km·h-1, 1% inclination. Both groups presented similar VO2max (68.5±3.8 vs. 65.7±5.0 mL ∙ min-1 ∙ kg-1, p>0.05). Achilles tendon tangent modulus was estimated from ultrasound-measured deformations, with the ankle passively mobilized by a dynamometer. True stress was calculated from the measured torque. The long-distance runners had a higher maximum tangent modulus (380.6±92.2 vs. 236.2±82.6 MPa, p<0.05) and maximum true stress than pentathletes (24.2±5.1 vs. 16.0±3.5 MPa, p<0.05). The correlation coefficient between tangent modulus at larger deformations was R=-0.7447 (p<0.05). Quantifying tendon tissue adaptations associated with different running training volumes will support subject and modality-specific workouts prescription of elite endurance athletes.
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Affiliation(s)
- Mariana Souza Pinto
- Programa de Engenharia Biomédica, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Carlos Sánchez
- Escola de Educação Física e Desportos, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Natália Martins
- Programa de Engenharia Biomédica, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | | | - Fernando Pompeu
- Programa de Pós-Graduação em Educação Física (PPGEF-UFRJ), Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Liliam Fernandes de Oliveira
- Programa de Engenharia Biomédica, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.,Escola de Educação Física e Desportos, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
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11
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Lanferdini FJ, Silva ES, Boeno FP, Sonda FC, Rosa RG, Quevedo R, Baroni BM, Reischak-Oliveira Á, Vaz MA, Peyré-Tartaruga LA. Effect of photobiomodulation therapy on performance and running economy in runners: A randomized double-blinded placebo-controlled trial. J Sports Sci 2021; 39:1348-1355. [PMID: 33459175 DOI: 10.1080/02640414.2021.1872930] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
The objective of this study was to evaluate effects of photobiomodulation therapy (PBMT) on the 3000 m running performance (primary outcome), running economy (RE), metabolic cost and ratings of perceived exertion during running (secondary outcomes). Twenty male endurance athletes performed 4-min treadmill rectangular test at 12 km.h-1 monitored by a gas analyser. After that, PBMT or placebo in each lower limb was applied, followed performed a maximum test of 3000 m. Immediately after 3000 m test, the athletes repeated the treadmill test. Another application of PBMT/placebo was done after the treadmill test, and athletes went back to the laboratory 24 h later to repeat the treadmill test. After a 72 h interval, athletes repeated all procedures with another treatment intervention (PBMT/placebo). Athletes performed the 3000 m running test ~7s faster when treated with PBMT with similar effort score compared placebo condition. The RE remains unchanged immediately post 3000 m running test, nonetheless RE measured post-24 h improved by 5% with PBMT application without changes in metabolic cost. The PBMT pre- and post-conditioning enhanced the 3000 m running performance and improved RE 24 h following the 3000 m test. However, no changes on ratings of perceived exertion and metabolic cost with the application of PBMT.
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Affiliation(s)
- Fábio J Lanferdini
- Biomechanics Laboratory, Center of Sports, Universidade Federal de Santa Catarina, Florianópolis, SC, Brazil
| | - Edson S Silva
- Exercise Research Laboratory, School of Physical Education, Physiotherapy and Dance, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Francesco P Boeno
- Exercise Research Laboratory, School of Physical Education, Physiotherapy and Dance, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Francesca C Sonda
- Exercise Research Laboratory, School of Physical Education, Physiotherapy and Dance, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Rodrigo G Rosa
- Exercise Research Laboratory, School of Physical Education, Physiotherapy and Dance, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Rodrigo Quevedo
- Exercise Research Laboratory, School of Physical Education, Physiotherapy and Dance, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Bruno M Baroni
- Department of Physical Therapy, Universidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre, RS, Brazil
| | - Álvaro Reischak-Oliveira
- Exercise Research Laboratory, School of Physical Education, Physiotherapy and Dance, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Marco A Vaz
- Exercise Research Laboratory, School of Physical Education, Physiotherapy and Dance, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Leonardo A Peyré-Tartaruga
- Exercise Research Laboratory, School of Physical Education, Physiotherapy and Dance, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
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