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A Biophysical Analysis on the Arm Stroke Efficiency in Front Crawl Swimming: Comparing Methods and Determining the Main Performance Predictors

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  • Ricardo Peterson Silveira

    (Aquatic Sports Research Group, Universidade Federal do Rio Grande do Sul, Porto Alegre 90040-060, Brazil
    Faculty of Sport, CIFI2D and Porto Biomechanics Laboratory (LABIOMEP-UP), University of Porto, 4099-002 Porto, Portugal)

  • Susana Maria Soares

    (Faculty of Sport, CIFI2D and Porto Biomechanics Laboratory (LABIOMEP-UP), University of Porto, 4099-002 Porto, Portugal)

  • Rodrigo Zacca

    (Faculty of Sport, CIFI2D and Porto Biomechanics Laboratory (LABIOMEP-UP), University of Porto, 4099-002 Porto, Portugal)

  • Francisco B. Alves

    (Faculty of Human Movement Studies, University of Lisbon, 1649-004 Lisboa, Portugal)

  • Ricardo J. Fernandes

    (Faculty of Sport, CIFI2D and Porto Biomechanics Laboratory (LABIOMEP-UP), University of Porto, 4099-002 Porto, Portugal)

  • Flávio Antônio de Souza Castro

    (Aquatic Sports Research Group, Universidade Federal do Rio Grande do Sul, Porto Alegre 90040-060, Brazil)

  • João Paulo Vilas-Boas

    (Faculty of Sport, CIFI2D and Porto Biomechanics Laboratory (LABIOMEP-UP), University of Porto, 4099-002 Porto, Portugal)

Abstract

Purpose: to compare different methods to assess the arm stroke efficiency ( η F ), when swimming front crawl using the arms only on the Measurement of Active Drag System (MAD System) and in a free-swimming condition, and to identify biophysical adaptations to swimming on the MAD System and the main biophysical predictors of maximal swimming speed in the 200 m front crawl using the arms only ( v 200 m ). Methods: fourteen swimmers performed twice a 5 × 200 m incremental trial swimming the front crawl stroke using the arms only, once swimming freely, and once swimming on the MAD System. The total metabolic power was assessed in both conditions. The biomechanical parameters were obtained from video analysis and force data recorded on the MAD System. The η F was calculated using: (i) direct measures of mechanical and metabolic power (power-based method); (ii) forward speed/hand speed ratio (speed-based method), and (iii) the simplified paddle-wheel model. Results: both methods to assess η F on the MAD System differed ( p < 0.001) from the expected values for this condition ( η F = 1), with the speed-based method providing the closest values ( η F ~0.96). In the free-swimming condition, the power-based ( η F ~0.75), speed-based ( η F ~0.62), and paddle-wheel ( η F ~0.39) efficiencies were significantly different ( p < 0.001). Although all methods provided values within the limits of agreement, the speed-based method provided the closest values to the “actual efficiency”. The main biophysical predictors of v 200 m were included in two models: biomechanical (R 2 = 0.98) and physiological (R 2 = 0.98). Conclusions: our results suggest that the speed-based method provides the closest values to the “actual η F ” and confirm that swimming performance depends on the balance of biomechanical and bioenergetic parameters

Suggested Citation

  • Ricardo Peterson Silveira & Susana Maria Soares & Rodrigo Zacca & Francisco B. Alves & Ricardo J. Fernandes & Flávio Antônio de Souza Castro & João Paulo Vilas-Boas, 2019. "A Biophysical Analysis on the Arm Stroke Efficiency in Front Crawl Swimming: Comparing Methods and Determining the Main Performance Predictors," IJERPH, MDPI, vol. 16(23), pages 1-20, November.
  • Handle: RePEc:gam:jijerp:v:16:y:2019:i:23:p:4715-:d:291162
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    Citations

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    Cited by:

    1. Yifan Liu & Gang Lu & Junke Chen & Qigang Zhu, 2021. "Exploration of Internal and External Factors of Swimmers’ Performance Based on Biofluid Mechanics and Computer Simulation," IJERPH, MDPI, vol. 18(12), pages 1-18, June.
    2. Phornpot Chainok & Leandro Machado & Karla de Jesus & J. Arturo Abraldes & Márcio Borgonovo-Santos & Ricardo J. Fernandes & João Paulo Vilas-Boas, 2021. "Backstroke to Breaststroke Turning Performance in Age-Group Swimmers: Hydrodynamic Characteristics and Pull-Out Strategy," IJERPH, MDPI, vol. 18(4), pages 1-10, February.
    3. Henrique P. Neiva & Ricardo J. Fernandes & Ricardo Cardoso & Daniel A. Marinho & J. Arturo Abraldes, 2021. "Monitoring Master Swimmers’ Performance and Active Drag Evolution along a Training Mesocycle," IJERPH, MDPI, vol. 18(7), pages 1-10, March.
    4. Mário J. Costa & Catarina C. Santos & Daniel A. Marinho & António J. Silva & Tiago M. Barbosa, 2020. "Modelling the 200 m Front-Crawl Performance Predictors at the Winter Season Peak," IJERPH, MDPI, vol. 17(6), pages 1-9, March.

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