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Price T, Cimadoro G, S Legg H. Physical performance determinants in competitive youth swimmers: a systematic review. BMC Sports Sci Med Rehabil 2024; 16:20. [PMID: 38238793 PMCID: PMC10797935 DOI: 10.1186/s13102-023-00767-4] [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: 10/06/2022] [Accepted: 07/06/2023] [Indexed: 01/22/2024]
Abstract
BACKGROUND Youth swimming performance is determined by several physiological, biomechanical and anthropometric characteristics. This review aimed to identify physical performance determinants of youth swimming performance, assessing strength, power, anaerobic, aerobic and body composition measures. ̇ METHODS: Searches were conducted in electronic databases (PubMed and Web of Science) using keywords relating to swimming and physiological measures, supplemented by citation searching of similar reviews. A total of 843 studies were identified in the initial search. The following inclusion criteria were used: participants were competitive/trained swimmers; swimming time-trial or event was conducted; data was provided on one or more physiological parameters; study was published in English and peer-reviewed. A total of 43 studies met the inclusion criteria. Risk of bias was assessed using Joanna Briggs Institute (JBI) checklist. RESULTS Cross-sectional studies scored between 4-8 and randomised-controlled trials scored 8-9 on their respective JBI checklists. Youth swimming performance was determined by muscle strength, muscle power, lean body mass, anaerobic and aerobic metabolism measures in most studies, where improved performance values of these variables were conducive to swimming performance. Body fat percentage did not have a clear relationship in youth swimming performance. CONCLUSIONS Findings of this review suggest that greater levels of muscle strength, muscle power and lean body mass are favourable in swimming performance, with muscle strength and muscle power particularly beneficial for start and turn performance. Anaerobic and aerobic metabolism measures were good determinants of swimming performance, with middle- and long-distance events more influenced by the latter. Body fat percentage has a nuanced relationship with swimming performance, where further investigation is required. Findings were inconsistent across studies, potentially due to unidentified confounding factors. KEY POINTS • Greater muscular strength and power qualities, anaerobic and aerobic capacities, and lean body mass are conducive to swimming performance. • Body fat percentage has a nuanced relationship with swimming performance. • Practitioners should consider general strength and power training as a useful tool to enhance performance in their youth competitors.
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Affiliation(s)
- Todd Price
- Department of Sport and Exercise Sciences, St Mary's University Twickenham, Twickenham, England
| | - Giuseppe Cimadoro
- Department of Sport and Exercise Sciences, St Mary's University Twickenham, Twickenham, England
| | - Hayley S Legg
- Department of Sport and Exercise Sciences, St Mary's University Twickenham, Twickenham, England.
- School of Education and Applied Sciences, University of Gloucestershire, Gloucester, England.
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Almeida TAF, Espada MC, Massini DA, Macedo AG, Castro EA, Ferreira CC, Reis JF, Pessôa Filho DM. Stroke and physiological relationships during the incremental front crawl test: outcomes for planning and pacing aerobic training. Front Physiol 2023; 14:1241948. [PMID: 37645566 PMCID: PMC10460968 DOI: 10.3389/fphys.2023.1241948] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2023] [Accepted: 07/31/2023] [Indexed: 08/31/2023] Open
Abstract
Purpose: This study aimed to evaluate the physiological responses associated with the stroke length (SL) and stroke rate (SR) changes as swimming velocity increases during an incremental step-test. Moreover, this study also aimed to verify if SL and SR relationships toward maximal oxygen uptake (V̇O2max), gas respiratory compensation point (RCP), exchange threshold (GET), and swimming cost can be applied to the management of endurance training and control aerobic pace. Methods: A total of 19 swimmers performed the incremental test until volitional exhaustion, with each stage being designed by percentages of the 400 m (%v400) maximal front crawl velocity. V̇O2max, GET, RCP, and the respective swimming velocities (v) were examined. Also, the stroke parameters, SL, SR, the corresponding slopes (SLslope and SRslope), and the crossing point (Cp) between them were determined. Results: GET and RCP corresponded to 70.6% and 82.4% of V̇O2max (4185.3 ± 686.1 mL min-1), and V̇O2 at Cp, SLslope, and SRslope were observed at 129.7%, 75.3%, and 61.7% of V̇O2max, respectively. The swimming cost from the expected V̇O2 at vSLslope (0.85 ± 0.18 kJ m-1), vSRslope (0.77 ± 0.17 kJ m-1), and vCp (1.09 ± 0.19 kJ m-1) showed correlations with GET (r = 0.73, 0.57, and 0.59, respectively), but only the cost at vSLslope and vCp correlated to RCP (0.62 and 0.69) and V̇O2max (0.70 and 0.79). Conclusion: SL and SR exhibited a distinctive pattern for the V̇O2 response as swimming velocity increased. Furthermore, the influence of SL on GET, RCP, and V̇O2max suggests that SLslope serves as the metabolic reference of heavy exercise intensity, beyond which the stroke profile defines an exercise zone with high cost, which is recommended for an anaerobic threshold and aerobic power training. In turn, the observed difference between V̇O2 at SRslope and GET suggests that the range of velocities between SL and SR slopes ensures an economical pace, which might be recommended to develop long-term endurance. The results also highlighted that the swimming intensity paced at Cp would impose a high anaerobic demand, as it is located above the maximal aerobic velocity. Therefore, SLslope and SRslope are suitable indexes of submaximal to maximal aerobic paces, while Cp's meaning still requires further evidence.
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Affiliation(s)
- Tiago A. F. Almeida
- Graduate Programme in Human Development and Technology, São Paulo State University (UNESP), Rio Claro, Brazil
- Department of Physical Education, São Paulo State University (UNESP), Bauru, Brazil
- CIPER, Faculdade de Motricidade Humana, Universidade de Lisboa, Lisboa, Portugal
| | - Mário C. Espada
- CIPER, Faculdade de Motricidade Humana, Universidade de Lisboa, Lisboa, Portugal
- Instituto Politécnico de Setúbal, Escola Superior de Educação, Setúbal, Portugal
- Life Quality Research Centre (LQRC—CIEQV, Leiria), Complexo Andaluz, Rio Maior, Portugal
| | - Danilo A. Massini
- Graduate Programme in Human Development and Technology, São Paulo State University (UNESP), Rio Claro, Brazil
- Department of Physical Education, São Paulo State University (UNESP), Bauru, Brazil
| | - Anderson G. Macedo
- Graduate Programme in Human Development and Technology, São Paulo State University (UNESP), Rio Claro, Brazil
- Department of Physical Education, São Paulo State University (UNESP), Bauru, Brazil
| | - Eliane A. Castro
- Graduate Programme in Human Development and Technology, São Paulo State University (UNESP), Rio Claro, Brazil
- Department of Physical Education, São Paulo State University (UNESP), Bauru, Brazil
| | - Cátia C. Ferreira
- Instituto Politécnico de Setúbal, Escola Superior de Educação, Setúbal, Portugal
- Research Group in Optimization of Training and Sport Performance (GOERD), Faculty of Sports Sciences, University of Extremadura, Cáceres, Spain
| | - Joana F. Reis
- CIPER, Faculdade de Motricidade Humana, Universidade de Lisboa, Lisboa, Portugal
- Faculdade de Motricidade Humana, Universidade de Lisboa, Lisboa, Portugal
| | - Dalton M. Pessôa Filho
- Graduate Programme in Human Development and Technology, São Paulo State University (UNESP), Rio Claro, Brazil
- Department of Physical Education, São Paulo State University (UNESP), Bauru, Brazil
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Muramoto Y, Nakashima D, Amano T, Harita T, Sugai K, Daigo K, Iwasawa Y, Ichihara G, Okawara H, Sawada T, Kinoda A, Yamada Y, Kimura T, Sato K, Katsumata Y. Estimation of maximal lactate steady state using the sweat lactate sensor. Sci Rep 2023; 13:10366. [PMID: 37365235 DOI: 10.1038/s41598-023-36983-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Accepted: 06/13/2023] [Indexed: 06/28/2023] Open
Abstract
A simple, non-invasive algorithm for maximal lactate steady state (MLSS) assessment has not been developed. We examined whether MLSS can be estimated from the sweat lactate threshold (sLT) using a novel sweat lactate sensor for healthy adults, with consideration of their exercise habits. Fifteen adults representing diverse fitness levels were recruited. Participants with/without exercise habits were defined as trained/untrained, respectively. Constant-load testing for 30 min at 110%, 115%, 120%, and 125% of sLT intensity was performed to determine MLSS. The tissue oxygenation index (TOI) of the thigh was also monitored. MLSS was not fully estimated from sLT, with 110%, 115%, 120%, and 125% of sLT in one, four, three, and seven participants, respectively. The MLSS based on sLT was higher in the trained group as compared to the untrained group. A total of 80% of trained participants had an MLSS of 120% or higher, while 75% of untrained participants had an MLSS of 115% or lower based on sLT. Furthermore, compared to untrained participants, trained participants continued constant-load exercise even if their TOI decreased below the resting baseline (P < 0.01). MLSS was successfully estimated using sLT, with 120% or more in trained participants and 115% or less in untrained participants. This suggests that trained individuals can continue exercising despite decreases in oxygen saturation in lower extremity skeletal muscles.
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Affiliation(s)
- Yuki Muramoto
- Institute for Integrated Sports Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Daisuke Nakashima
- Department of Orthopaedic Surgery, Keio University School of Medicine, Tokyo, Japan
| | | | | | - Kazuhisa Sugai
- School of Veterinary Nursing and Technology, Faculty of Veterinary Science, Nippon Veterinary and Life Science University, Tokyo, Japan
| | - Kyohei Daigo
- Department of Cardiology, Keio University School of Medicine, Tokyo, Japan
| | - Yuji Iwasawa
- Department of Cardiology, Keio University School of Medicine, Tokyo, Japan
| | - Genki Ichihara
- Department of Cardiology, Keio University School of Medicine, Tokyo, Japan
| | - Hiroki Okawara
- Department of Orthopaedic Surgery, Keio University School of Medicine, Tokyo, Japan
| | - Tomonori Sawada
- Department of Orthopaedic Surgery, Keio University School of Medicine, Tokyo, Japan
| | - Akira Kinoda
- Institute for Integrated Sports Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Yuichi Yamada
- Institute for Integrated Sports Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Takeshi Kimura
- Institute for Integrated Sports Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Kazuki Sato
- Institute for Integrated Sports Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Yoshinori Katsumata
- Institute for Integrated Sports Medicine, Keio University School of Medicine, Tokyo, Japan.
- Department of Cardiology, Keio University School of Medicine, Tokyo, Japan.
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Massini DA, Espada MC, Macedo AG, Santos FJ, Castro EA, Ferreira CC, Robalo RAM, Dias AAP, Almeida TAF, Pessôa Filho DM. Oxygen Uptake Kinetics and Time Limit at Maximal Aerobic Workload in Tethered Swimming. Metabolites 2023; 13:773. [PMID: 37512480 PMCID: PMC10385165 DOI: 10.3390/metabo13070773] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Revised: 05/29/2023] [Accepted: 06/19/2023] [Indexed: 07/30/2023] Open
Abstract
This study aimed to apply an incremental tethered swimming test (ITT) with workloads (WL) based on individual rates of front crawl mean tethered force (Fmean) for the identification of the upper boundary of heavy exercise (by means of respiratory compensation point, RCP), and therefore to describe oxygen uptake kinetics (VO2k) and time limit (tLim) responses to WL corresponding to peak oxygen uptake (WLVO2peak). Sixteen swimmers of both sexes (17.6 ± 3.8 years old, 175.8 ± 9.2 cm, and 68.5 ± 10.6 kg) performed the ITT until exhaustion, attached to a weight-bearing pulley-rope system for the measurements of gas exchange threshold (GET), RCP, and VO2peak. The WL was increased by 5% from 30 to 70% of Fmean at every minute, with Fmean being measured by a load cell attached to the swimmers during an all-out 30 s front crawl bout. The pulmonary gas exchange was sampled breath by breath, and the mathematical description of VO2k used a first-order exponential with time delay (TD) on the average of two rest-to-work transitions at WLVO2peak. The mean VO2peak approached 50.2 ± 6.2 mL·kg-1·min-1 and GET and RCP attained (respectively) 67.4 ± 7.3% and 87.4 ± 3.4% VO2peak. The average tLim was 329.5 ± 63.6 s for both sexes, and all swimmers attained VO2peak (100.4 ± 3.8%) when considering the primary response of VO2 (A1' = 91.8 ± 6.7%VO2peak) associated with the VO2 slow component (SC) of 10.7 ± 6.7% of end-exercise VO2, with time constants of 24.4 ± 9.8 s for A1' and 149.3 ± 29.1 s for SC. Negative correlations were observed for tLim to VO2peak, WLVO2peak, GET, RCP, and EEVO2 (r = -0.55, -0.59, -0.58, -0.53, and -0.50). Thus, the VO2k during tethered swimming at WLVO2peak reproduced the physiological responses corresponding to a severe domain. The findings also demonstrated that tLim was inversely related to aerobic conditioning indexes and to the ability to adjust oxidative metabolism to match target VO2 demand during exercise.
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Affiliation(s)
- Danilo A Massini
- Graduate Programme in Human Development and Technology, Institute of Biology, São Paulo State University (UNESP), Campus at Rio Claro, São Paulo 13506-900, Brazil
- Physical Education Department, School of Sciences (FC), Universidade Estadual Paulista (UNESP), Campus at Bauru, São Paulo 17033-360, Brazil
| | - Mário C Espada
- Instituto Politécnico de Setúbal, Escola Superior de Educação, 2914-504 Setúbal, Portugal
- Life Quality Research Centre (LQRC-CIEQV, Leiria), Complexo Andaluz, Apartado, 2040-413 Rio Maior, Portugal
- CIPER, Faculdade de Motricidade Humana, Universidade de Lisboa, 1499-002 Cruz Quebrada, Portugal
| | - Anderson G Macedo
- Graduate Programme in Human Development and Technology, Institute of Biology, São Paulo State University (UNESP), Campus at Rio Claro, São Paulo 13506-900, Brazil
- Physical Education Department, School of Sciences (FC), Universidade Estadual Paulista (UNESP), Campus at Bauru, São Paulo 17033-360, Brazil
| | - Fernando J Santos
- Instituto Politécnico de Setúbal, Escola Superior de Educação, 2914-504 Setúbal, Portugal
- Life Quality Research Centre (LQRC-CIEQV, Leiria), Complexo Andaluz, Apartado, 2040-413 Rio Maior, Portugal
- Faculdade de Motricidade Humana, Universidade de Lisboa, 1499-002 Cruz Quebrada, Portugal
| | - Eliane A Castro
- Graduate Programme in Human Development and Technology, Institute of Biology, São Paulo State University (UNESP), Campus at Rio Claro, São Paulo 13506-900, Brazil
- Physical Education Department, School of Sciences (FC), Universidade Estadual Paulista (UNESP), Campus at Bauru, São Paulo 17033-360, Brazil
- LFE Research Group, Universidad Politécnica de Madrid (UPM), 28040 Madrid, Spain
| | - Cátia C Ferreira
- Instituto Politécnico de Setúbal, Escola Superior de Educação, 2914-504 Setúbal, Portugal
- Research Group in Optimization of Training and Sport Performance (GOERD), Faculty of Sports Sciences, University of Extremadura, 10003 Caceres, Spain
| | - Ricardo A M Robalo
- Instituto Politécnico de Setúbal, Escola Superior de Educação, 2914-504 Setúbal, Portugal
- Faculdade de Motricidade Humana, Universidade de Lisboa, 1499-002 Cruz Quebrada, Portugal
| | - Amândio A P Dias
- Egas Moniz Center for Interdisciplinary Research (CiiEM), Egas Moniz School of Health & Science, 2829-511 Caparica, Portugal
| | - Tiago A F Almeida
- Graduate Programme in Human Development and Technology, Institute of Biology, São Paulo State University (UNESP), Campus at Rio Claro, São Paulo 13506-900, Brazil
- Physical Education Department, School of Sciences (FC), Universidade Estadual Paulista (UNESP), Campus at Bauru, São Paulo 17033-360, Brazil
- CIPER, Faculdade de Motricidade Humana, Universidade de Lisboa, 1499-002 Cruz Quebrada, Portugal
| | - Dalton M Pessôa Filho
- Graduate Programme in Human Development and Technology, Institute of Biology, São Paulo State University (UNESP), Campus at Rio Claro, São Paulo 13506-900, Brazil
- Physical Education Department, School of Sciences (FC), Universidade Estadual Paulista (UNESP), Campus at Bauru, São Paulo 17033-360, Brazil
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Franken M, Figueiredo P, De Assis Correia R, Feitosa WG, Lazzari CD, Diefenthaeler F, Castro FS. Manipulation of Stroke Rate in Swimming: Effects on Oxygen Uptake Kinetics. Int J Sports Med 2023; 44:56-63. [PMID: 36002028 DOI: 10.1055/a-1930-5462] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
The study aimed to assess the effect of different front crawl stroke rates (SRs) in the oxygen uptake (̇VO2) kinetics and ̇VO2 peak, the total time to exhaustion (TTE), and blood lactate concentration ([La]) at 95% of the 400-m front crawl test (T400) mean speed (S400). Twelve endurance swimmers performed a T400 and four trials at 95% of the S400: (i) free SR, (ii) fixed SR (100% of the average free SR trial), (iii) reduced SR (90% of the average free SR trial), and (iv) increased SR (110% of the average free SR trial). ̇VO2 was accessed continuously with breath-by-breath analysis. The results highlighted: (i) the time constant at increased SR (13.3±4.2 s) was lower than in the reduced SR condition (19.5±2.6 s); (ii) the amplitude of the primary phase of ̇VO2 kinetics in the fixed SR (44.0±5.8 ml·kg-1·min-1) was higher than in the increased SR condition (39.5±6.4 ml·kg-1·min-1); and (iii) TTE was lower in the fixed SR (396.1±189.7 s) than the increased SR condition (743.0±340.0 s). The results indicate that controlled SR could be considered a swimming training strategy, focusing on physiological parameters overload.
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Affiliation(s)
- Marcos Franken
- Aquatic Sports Research Group, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.,Department of Health Sciences, Universidade Regional Integrada do Alto Uruguai e das Missões, Santiago, Brazil
| | - Pedro Figueiredo
- Physical Education Department, College of Education, United Arab Emirates University, Al Ain, Abu Dhabi, United Arab Emirates.,Research Center in Sports Sciences, Health Sciences and Human Development, CIDESD, Vila Real, Portugal
| | | | - Wellington Gomes Feitosa
- Aquatic Sports Research Group, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.,Centro de Ciências da Saúde, Universidade Estadual do Ceará, Fortaleza, Brasil, Universidade Estadual do Ceará, Fortaleza, Brazil
| | - Caetano Decian Lazzari
- Biomechanics Laboratory, Universidade Federal de Santa Catarina, Florianópolis, Brazil.,Centro de Desportos, Universidade Federal de Santa Catarina, Florianopolis, Brazil
| | - Fernando Diefenthaeler
- Biomechanics Laboratory, Universidade Federal de Santa Catarina, Florianópolis, Brazil.,Centro de Desportos, Universidade Federal de Santa Catarina, Florianopolis, Brazil
| | - Flávio Souza Castro
- Aquatic Sports Research Group, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
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Almeida TAF, Massini DA, Silva Júnior OT, Venditti Júnior R, Espada MAC, Macedo AG, Reis JF, Alves FB, Pessôa Filho DM. Time limit and V̇O2 kinetics at maximal aerobic velocity: Continuous vs. intermittent swimming trials. Front Physiol 2022; 13:982874. [PMID: 36246138 PMCID: PMC9562734 DOI: 10.3389/fphys.2022.982874] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Accepted: 08/25/2022] [Indexed: 11/13/2022] Open
Abstract
The time sustained during exercise with oxygen uptake (V̇O2) reaching maximal rates (V̇O2peak) or near peak responses (i.e., above second ventilatory threshold [t@VT2) or 90% V̇O2peak (t@90%V̇O2peak)] is recognized as the training pace required to enhance aerobic power and exercise tolerance in the severe domain (time-limit, tLim). This study compared physiological and performance indexes during continuous and intermittent trials at maximal aerobic velocity (MAV) to analyze each exercise schedule, supporting their roles in conditioning planning. Twenty-two well-trained swimmers completed a discontinuous incremental step-test for V̇O2peak, VT2, and MAV assessments. Two other tests were performed in randomized order, to compare continuous (CT) vs. intermittent trials (IT100) at MAV until exhaustion, to determine peak oxygen uptake (Peak-V̇O2) and V̇O2 kinetics (V̇O2K). Distance and time variables were registered to determine the tLim, t@VT2, and t@90%V̇O2peak tests. Blood lactate concentration ([La−]) was analyzed, and rate of perceived exertion (RPE) was recorded. The tests were conducted using a breath-by-breath apparatus connected to a snorkel for pulmonary gas sampling, with pacing controlled by an underwater visual pacer. V̇O2peak (55.2 ± 5.6 ml·kg·min−1) was only reached in CT (100.7 ± 3.1 %V̇O2peak). In addition, high V̇O2 values were reached at IT100 (96.4 ± 4.2 %V̇O2peak). V̇O2peak was highly correlated with Peak-V̇O2 during CT (r = 0.95, p < 0.01) and IT100 (r = 0.91, p < 0.01). Compared with CT, the IT100 presented significantly higher values for tLim (1,013.6 ± 496.6 vs. 256.2 ± 60.3 s), distance (1,277.3 ± 638.1 vs. 315.9 ± 63.3 m), t@VT2 (448.1 ± 211.1 vs. 144.1 ± 78.8 s), and t@90%V̇O2peak (321.9 ± 208.7 vs. 127.5 ± 77.1 s). V̇O2K time constants (IT100: 25.9 ± 9.4 vs. CT: 26.5 ± 7.5 s) were correlated between tests (r = 0.76, p < 0.01). Between CT and IT100, tLim were not related, and RPE (8.9 ± 0.9 vs. 9.4 ± 0.8) and [La−] (7.8 ± 2.7 vs. 7.8 ± 2.8 mmol·l−1) did not differ between tests. MAV is suitable for planning swimming intensities requiring V̇O2peak rates, whatever the exercise schedule (continuous or intermittent). Therefore, the results suggest IT100 as a preferable training schedule rather than the CT for aerobic capacity training since IT100 presented a significantly higher tLim, t@VT2, and t@90%V̇O2peak (∼757, ∼304, and ∼194 s more, respectively), without differing regards to [La−] and RPE. The V̇O2K seemed not to influence tLim and times spent near V̇O2peak in both workout modes.
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Affiliation(s)
- Tiago A. F. Almeida
- Department of Physical Education, São Paulo State University—UNESP, São Paulo, Brazil
- CIPER, Faculdade de Motricidade Humana, Universidade de Lisboa, Lisboa, Portugal
- Postgraduate Program in Human Development and Technologies, São Paulo State University—UNESP, Rio Claro, São Paulo, Brazil
- *Correspondence: Tiago A. F. Almeida,
| | - Danilo A. Massini
- Department of Physical Education, São Paulo State University—UNESP, São Paulo, Brazil
- Postgraduate Program in Human Development and Technologies, São Paulo State University—UNESP, Rio Claro, São Paulo, Brazil
| | - Osvaldo T. Silva Júnior
- Postgraduate Program in Human Development and Technologies, São Paulo State University—UNESP, Rio Claro, São Paulo, Brazil
| | - Rubens Venditti Júnior
- Department of Physical Education, São Paulo State University—UNESP, São Paulo, Brazil
- Postgraduate Program in Human Development and Technologies, São Paulo State University—UNESP, Rio Claro, São Paulo, Brazil
| | - Mário A. C. Espada
- Instituto Politécnico de Setúbal (CIEF—ESE/IPS, CDP2T, ESTSetúbal/IPS), Setúbal, Portugal
- Life Quality Research Centre (CIEQV-Leiria), Santarém, Portugal
| | - Anderson G. Macedo
- Department of Physical Education, São Paulo State University—UNESP, São Paulo, Brazil
- Postgraduate Program in Human Development and Technologies, São Paulo State University—UNESP, Rio Claro, São Paulo, Brazil
| | - Joana F. Reis
- CIPER, Faculdade de Motricidade Humana, Universidade de Lisboa, Lisboa, Portugal
- Laboratory of Physiology and Biochemistry of Exercise, Faculdade de Motricidade Humana, Universidade de Lisboa, Lisboa, Portugal
| | - Francisco B. Alves
- CIPER, Faculdade de Motricidade Humana, Universidade de Lisboa, Lisboa, Portugal
- Laboratory of Physiology and Biochemistry of Exercise, Faculdade de Motricidade Humana, Universidade de Lisboa, Lisboa, Portugal
| | - Dalton M. Pessôa Filho
- Department of Physical Education, São Paulo State University—UNESP, São Paulo, Brazil
- Postgraduate Program in Human Development and Technologies, São Paulo State University—UNESP, Rio Claro, São Paulo, Brazil
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7
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Keller S, Manunzio C, Wahl P. Comparison of different test protocols to determine maximal lactate steady state intensity in swimming. J Sci Med Sport 2022; 25:696-701. [DOI: 10.1016/j.jsams.2022.05.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2022] [Revised: 05/23/2022] [Accepted: 05/24/2022] [Indexed: 10/18/2022]
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Almeida TAF, Pessôa Filho DM, Espada MC, Reis JF, Sancassani A, Massini DA, Santos FJ, Alves FB. Physiological Responses During High-Intensity Interval Training in Young Swimmers. Front Physiol 2021; 12:662029. [PMID: 34276394 PMCID: PMC8281220 DOI: 10.3389/fphys.2021.662029] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2021] [Accepted: 06/07/2021] [Indexed: 11/13/2022] Open
Abstract
This study analyzed whether 100- and 200-m interval training (IT) in swimming differed regarding temporal, perceptual, and physiological responses. The IT was performed at maximal aerobic velocity (MAV) until exhaustion and time spent near to maximalVO2 peak oxygen uptake (⩒O2peak), total time limit (tLim), peak blood lactate [La-] peak, ⩒O2 kinetics (⩒O2K), and rate of perceived exertion (RPE) were compared between protocols. Twelve swimmers (seven males 16.1 ± 1.1 and five females 14.2 ± 1 years) completed a discontinuous incremental step test for the second ventilatory threshold (VT2), ⩒O2peak, and MAV assessment. The swimmers subsequently completed two IT protocols at MAV with 100- and 200-m bouts to determine the maximal ⩒O2 (peak-⩒O2) and time spent ≥VT2, 90, and 95% of ⩒O2peak for the entire protocols (IT100 and IT200) and during the first 800-m of each protocol (IT8x100 and IT4x200). A portable apparatus (K4b2) sampled gas exchange through a snorkel and an underwater led signal controlled the velocity. RPE was also recorded. The Peak-⩒O2 attained during IT8x100 and IT4x200 (57.3 ± 4.9 vs. 57.2 ± 4.6 ml·kg-1·min-1) were not different between protocols (p = 0.98) nor to ⩒O2peak (59.2 ± 4.2 ml·kg-1·min-1, p = 0.37). The time constant of ⩒O2K (24.9 ± 8.4 vs. 25.1 ± 6.3-s, p = 0.67) and [La-] peak (7.9 ± 3.4 and 8.7 ± 1.5 mmol·L-1, p = 0.15) also did not differ between IT100 and IT200. The time spent ≥VT2, 90, and 95%⩒O2peak were also not different between IT8x100 and IT4x200 (p = 0.93, 0.63, and 1.00, respectively). The RPE for IT8x100 was lower than that for IT4x200 (7.62 ± 2 vs. 9.5 ± 0.7, p = 0.01). Both protocols are considered suitable for aerobic power enhancement, since ⩒O2peak was attained with similar ⩒O2K and sustained with no differences in tLim. However, the fact that only the RPE differed between the IT protocols suggested that coaches should consider that nx100-m/15-s is perceived as less difficult to perform compared with nx200-m/30-s for the first 800-m when managing the best strategy to be implemented for aerobic power training.
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Affiliation(s)
- Tiago André Freire Almeida
- Interdisciplinary Center for the Study of Human Performance (CIPER), Faculdade de Motricidade Humana, Universidade de Lisboa, Lisbon, Portugal.,Faculdade de Motricidade Humana, Universidade de Lisboa, Lisbon, Portugal.,Department of Physical Education, São Paulo State University (UNESP), Bauru, Brazil
| | - Dalton Müller Pessôa Filho
- Department of Physical Education, São Paulo State University (UNESP), Bauru, Brazil.,Institute of Bioscience, Graduate Program in Human Development and Technology, São Paulo State University (UNESP), Rio Claro, Brazil
| | - Mário Cunha Espada
- Department of Science and Technology, Polytechnic Institute of Setúbal, Setúbal, Portugal.,Quality of Life Research Center, Santarém, Portugal
| | - Joana Filipa Reis
- Interdisciplinary Center for the Study of Human Performance (CIPER), Faculdade de Motricidade Humana, Universidade de Lisboa, Lisbon, Portugal.,Faculdade de Motricidade Humana, Universidade de Lisboa, Lisbon, Portugal
| | - Andrei Sancassani
- Institute of Bioscience, Graduate Program in Human Development and Technology, São Paulo State University (UNESP), Rio Claro, Brazil
| | - Danilo Alexandre Massini
- Institute of Bioscience, Graduate Program in Human Development and Technology, São Paulo State University (UNESP), Rio Claro, Brazil
| | - Fernando Jorge Santos
- Faculdade de Motricidade Humana, Universidade de Lisboa, Lisbon, Portugal.,Department of Science and Technology, Polytechnic Institute of Setúbal, Setúbal, Portugal.,Quality of Life Research Center, Santarém, Portugal
| | - Francisco Besone Alves
- Interdisciplinary Center for the Study of Human Performance (CIPER), Faculdade de Motricidade Humana, Universidade de Lisboa, Lisbon, Portugal.,Faculdade de Motricidade Humana, Universidade de Lisboa, Lisbon, Portugal
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9
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Can an Incremental Step Test Be Used for Maximal Lactate Steady State Determination in Swimming? Clues for Practice. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18020477. [PMID: 33430166 PMCID: PMC7826783 DOI: 10.3390/ijerph18020477] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Revised: 01/01/2021] [Accepted: 01/03/2021] [Indexed: 12/02/2022]
Abstract
We aimed to compare the velocity, physiological responses, and stroke mechanics between the lactate parameters determined in an incremental step test (IST) and maximal lactate steady state (MLSS). Fourteen well-trained male swimmers (16.8 ± 2.8 years) were timed for 400 m and 200 m (T200). Afterwards, a 7 × 200-m front-crawl IST was performed. Swimming velocity, heart rate (HR), blood lactate concentration (BLC), stroke mechanics, and rate of perceived exertion (RPE) were measured throughout the IST and in the 30-min continuous test (CT) bouts for MLSS determination. Swimming velocities at lactate threshold determined with log-log methodology (1.34 ± 0.06 m∙s−1) and Dmax methodology (1.40 ± 0.06 m∙s−1); and also, the velocity at BLC of 4 mmol∙L−1 (1.36 ± 0.07) were not significantly different from MLSSv, however, Bland–Altman analysis showed wide limits of agreement and the concordance correlation coefficient showed poor strength of agreement between the aforementioned parameters which precludes their interchangeable use. Stroke mechanics, HR, RPE, and BLC in MLSSv were not significantly different from the fourth repetition of IST (85% of T200), which by itself can provide useful support to daily practice of well-trained swimmers. Nevertheless, the determination of MLSSv, based on a CT, remains more accurate for exercise evaluation and prescription.
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10
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[Formula: see text] kinetics and energy contribution in simulated maximal performance during short and middle distance-trials in swimming. Eur J Appl Physiol 2020; 120:1097-1109. [PMID: 32212025 DOI: 10.1007/s00421-020-04348-y] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2019] [Accepted: 03/11/2020] [Indexed: 10/24/2022]
Abstract
PURPOSE This study aims to analyze swimmers' oxygen uptake kinetics ([Formula: see text]K) and bioenergetic profiles in 50, 100, and 200 m simulated swimming events and determine which physiological variables relate with performance. METHODS Twenty-eight well-trained swimmers completed an incremental test for maximal oxygen uptake (Peak-[Formula: see text]) and maximal aerobic velocity (MAV) assessment. Maximal trials (MT) of 50, 100, and 200-m in front crawl swimming were performed for [Formula: see text]K and bioenergetic profile. [Formula: see text]K parameters were calculated through monoexponential modeling and by a new growth rate method. The recovery phase was used along with the blood lactate concentration for bioenergetics profiling. RESULTS Peak-[Formula: see text] (57.47 ± 5.7 ml kg-1 min-1 for male and 53.53 ± 4.21 ml kg-1 min-1 for female) did not differ from [Formula: see text]peak attained at the 200-MT for female and at the 100 and 200-MT for male. From the 50-MT to 100-MT and to the 200-MT the [Formula: see text]K presented slower time constants (8.6 ± 2.3 s, 11.5 ± 2.4 s and 16.7 ± 5.5 s, respectively), the aerobic contribution increased (~ 34%, 54% and 71%, respectively) and the anaerobic decreased (~ 66%, 46% and 29%, respectively), presenting a cross-over in the 100-MT. Both energy systems, MAV, Peak-[Formula: see text], and [Formula: see text] peak of the MT's were correlated with swimming performance. DISCUSSION The aerobic energy contribution is an important factor for performance in 50, 100, and 200-m, regardless of the time taken to adjust the absolute oxidative response, when considering the effect on a mixed-group regarding sex. [Formula: see text]K speeding could be explained by a faster initial pacing strategy used in the shorter distances, that contributed for a more rapid increase of the oxidative contribution to the energy turnover.
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Zacca R, Azevedo R, Peterson Silveira R, Vilas-Boas JP, Pyne DB, Castro FADS, Fernandes RJ. Comparison of Incremental Intermittent and Time Trial Testing in Age-Group Swimmers. J Strength Cond Res 2019; 33:801-810. [PMID: 28658078 DOI: 10.1519/jsc.0000000000002087] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Zacca, R, Azevedo, R, Peterson Silveira, R, Vilas-Boas, JP, Pyne, DB, Castro, FAdS, and Fernandes, RJ. Comparison of incremental intermittent and time trial testing in age-group swimmers. J Strength Cond Res 33(3): 801-810, 2019-The aim of this study was to compare physiological and biomechanical characteristics between an incremental intermittent test and a time trial protocol in age-group swimmers. Eleven national level age-group swimmers (6 men and 5 women) performed a 7 × 200-m incremental intermittent protocol (until exhaustion; 30-second rest) and a 400-m test (T400) in front crawl on separate days. Cardiorespiratory variables were measured continuously using a telemetric portable gas analyzer. Swimming speed, stroke rate, stroke length, and stroke index were assessed by video analysis. Physiological (oxygen uptake, heart rate, and lactate concentrations) and biomechanical variables between seventh 200-m step (in which the minimal swimming speed that elicits maximal oxygen uptake-vV[Combining Dot Above]O2max was identified) and T400 (time trial/fixed distance) were compared with a paired student's t test, Pearson's product-moment correlation, Passing-Bablok regression, and Bland-Altman plot analyses. There were high level of agreement and high correlations (r-values ∼0.90; p ≤ 0.05) for all physiological variables between the seventh 200-m step and T400. Similarly, there were high level of agreements and high correlations (r-values ∼0.90; p ≤ 0.05) for all biomechanical variables and only trivial bias in swimming speed (0.03 m·s; 2%). Primary physiological and biomechanical responses between incremental intermittent and representative time trial protocols were similar, but best practice dictates protocols should not be used interchangeably to minimize errors in prescribing swimming training speeds. The T400 is a valid, useful, and easier to administer test for aerobic power assessment in age-group swimmers.
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Affiliation(s)
- Rodrigo Zacca
- Center of Research, Education, Innovation and Intervention in Sport, Faculty of Sport, University of Porto, Porto, Portugal.,Porto Biomechanics Laboratory, University of Porto, Porto, Portugal.,CAPES Foundation, Ministry of Education of Brazil, Brasília, Brazil
| | - Rui Azevedo
- CESPU, Institute of Research and Advanced Training in Health Sciences and Technologies (IINFACTS), Gandra PRD, Portugal
| | - Ricardo Peterson Silveira
- CAPES Foundation, Ministry of Education of Brazil, Brasília, Brazil.,School of Physical Education, Physiotherapy and Dance, Aquatic Sports Research Group, Federal University of Rio Grande do Sul, Porto Alegre, Brazil.,Department of Neurological, Biomedical and Movement Sciences, University of Verona, Verona, Italy
| | - João P Vilas-Boas
- Center of Research, Education, Innovation and Intervention in Sport, Faculty of Sport, University of Porto, Porto, Portugal.,Porto Biomechanics Laboratory, University of Porto, Porto, Portugal
| | - David B Pyne
- Physiology, Australian Institute of Sport, Canberra, Australia.,Research Institute for Sport and Exercise, University of Canberra, Canberra, Australia
| | - Flávio A de S Castro
- School of Physical Education, Physiotherapy and Dance, Aquatic Sports Research Group, Federal University of Rio Grande do Sul, Porto Alegre, Brazil
| | - Ricardo J Fernandes
- Center of Research, Education, Innovation and Intervention in Sport, Faculty of Sport, University of Porto, Porto, Portugal.,Porto Biomechanics Laboratory, University of Porto, Porto, Portugal
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Pessôa Filho DM, Siqueira LO, Simionato AR, Espada MA, Pestana DS, DiMenna FJ. A Rapidly-Incremented Tethered-Swimming Test for Defining Domain-Specific Training Zones. J Hum Kinet 2017; 57:117-128. [PMID: 28713464 PMCID: PMC5504584 DOI: 10.1515/hukin-2017-0053] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
Abstract
The purpose of this study was to investigate whether a tethered-swimming incremental test comprising small increases in resistive force applied every 60 seconds could delineate the isocapnic region during rapidly-incremented exercise. Sixteen competitive swimmers (male, n = 11; female, n = 5) performed: (a) a test to determine highest force during 30 seconds of all-out tethered swimming (Favg) and the ΔF, which represented the difference between Favg and the force required to maintain body alignment (Fbase), and (b) an incremental test beginning with 60 seconds of tethered swimming against a load that exceeded Fbase by 30% of ΔF followed by increments of 5% of ΔF every 60 seconds. This incremental test was continued until the limit of tolerance with pulmonary gas exchange (rates of oxygen uptake and carbon dioxide production) and ventilatory (rate of minute ventilation) data collected breath by breath. These data were subsequently analyzed to determine whether two breakpoints defining the isocapnic region (i.e., gas exchange threshold and respiratory compensation point) were present. We also determined the peak rate of O2 uptake and exercise economy during the incremental test. The gas exchange threshold and respiratory compensation point were observed for each test such that the associated metabolic rates, which bound the heavy-intensity domain during constant-work-rate exercise, could be determined. Significant correlations (Spearman’s) were observed for exercise economy along with (a) peak rate of oxygen uptake (ρ = .562; p < 0.025), and (b) metabolic rate at gas exchange threshold (ρ = −.759; p < 0.005). A rapidly-incremented tethered-swimming test allows for determination of the metabolic rates that define zones for domain-specific constant-work-rate training.
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Affiliation(s)
- Dalton M. Pessôa Filho
- Institute of Biosciences , São Paulo State University (UNESP) / Rio Claro , Brazil
- College of Sciences , São Paulo State University (UNESP) / Bauru , Brazil
| | | | - Astor R. Simionato
- Institute of Biosciences , São Paulo State University (UNESP) / Rio Claro , Brazil
| | | | | | - Fred J. DiMenna
- Teachers College , Department of Biobehavioral Sciences , Columbia University , New York , USA
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Reis JF, Millet GP, Bruno PM, Vleck V, Alves FB. Sex and Exercise Intensity Do Not Influence Oxygen Uptake Kinetics in Submaximal Swimming. Front Physiol 2017; 8:72. [PMID: 28239356 PMCID: PMC5301027 DOI: 10.3389/fphys.2017.00072] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2016] [Accepted: 01/26/2017] [Indexed: 12/03/2022] Open
Abstract
The aim of this study was to compare the oxygen uptake (V˙O2) kinetics in front crawl between male and female swimmers at moderate and heavy intensity. We hypothesized that the time constant for the primary phase V˙O2 kinetics was faster in men than in women, for both intensities. Nineteen well trained swimmers (8 females mean ± SD; age 17.9 ± 3.5 years; mass 55.2 ± 3.6 kg; height 1.66 ± 0.05 m and 11 male 21.9 ± 2.8 years; 78.2 ± 11.1 kg; 1.81 ± 0.08 m) performed a discontinuous maximal incremental test and two 600-m square wave transitions for both moderate and heavy intensities to determine the V˙O2 kinetics parameters using mono- and bi-exponential models, respectively. All the tests involved breath-by-breath analysis of front crawl swimming using a swimming snorkel. The maximal oxygen uptake (V˙O2max) was higher in men than in women [4,492 ± 585 ml·min−1 and 57.7 ± 4.4 ml·kg−1·min−1 vs. 2,752.4 ± 187.9 ml·min−1 (p ≤ 0.001) and 50.0 ± 5.7 ml·kg−1·min−1(p = 0.007), respectively]. Similarly, the absolute amplitude of the primary component was higher in men for both intensities (moderate: 1,736 ± 164 vs. 1,121 ± 149 ml·min−1; heavy: 2,948 ± 227 vs. 1,927 ± 243 ml·min−1, p ≤ 0.001, for males and females, respectively). However, the time constant of the primary component (τp) was not influenced by sex (p = 0.527) or swimming intensity (p = 0.804) (moderate: 15.1 ± 5.6 vs. 14.4 ± 5.1 s; heavy: 13.5 ± 3.3 vs. 16.0 ± 4.5 s, for females and males, respectively). The slow component in the heavy domain was not significantly different between female and male swimmers (3.2 ± 2.4 vs. 3.8 ± 1.0 ml·kg−1·min−1, p = 0.476). Overall, only the absolute amplitude of the primary component was higher in men, while the other V˙O2 kinetics parameters were similar between female and male swimmers at both moderate and heavy intensities. The mechanisms underlying these similarities remain unclear.
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Affiliation(s)
- Joana F Reis
- Laboratory of Physiology and Biochemistry of Exercise, Faculty of Human Kinetics, University of LisbonLisbon, Portugal; Ciper, Faculty of Human Kinetics, University of LisbonLisbon, Portugal; Universidade EuropeiaLisbon, Portugal
| | - Gregoire P Millet
- Department of Physiology, Faculty of Biology and Medicine, Institute of Sport Sciences, University of Lausanne Lausanne, Switzerland
| | - Paula M Bruno
- Ciper, Faculty of Human Kinetics, University of Lisbon Lisbon, Portugal
| | - Veronica Vleck
- Ciper, Faculty of Human Kinetics, University of Lisbon Lisbon, Portugal
| | - Francisco B Alves
- Laboratory of Physiology and Biochemistry of Exercise, Faculty of Human Kinetics, University of LisbonLisbon, Portugal; Ciper, Faculty of Human Kinetics, University of LisbonLisbon, Portugal
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