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Modelling the 200 m Front-Crawl Performance Predictors at the Winter Season Peak

Author

Listed:
  • Mário J. Costa

    (Department of Sport Sciences, Polytechnic Institute of Guarda, 6300-559 Guarda, Portugal
    Research Center in Sport Sciences, Health Sciences and Human Development, CIDESD, 5001-801 Vila Real, Portugal)

  • Catarina C. Santos

    (Department of Sport Sciences, University of Beira Interior, 6201-001 Covilhã, Portugal)

  • Daniel A. Marinho

    (Research Center in Sport Sciences, Health Sciences and Human Development, CIDESD, 5001-801 Vila Real, Portugal
    Department of Sport Sciences, University of Beira Interior, 6201-001 Covilhã, Portugal)

  • António J. Silva

    (Research Center in Sport Sciences, Health Sciences and Human Development, CIDESD, 5001-801 Vila Real, Portugal
    Department of Sport, Exercise and Health Sciences, University of Trás-os-Montes e Alto Douro, 5001-801 Vila Real, Portugal)

  • Tiago M. Barbosa

    (Research Center in Sport Sciences, Health Sciences and Human Development, CIDESD, 5001-801 Vila Real, Portugal
    Department of Sport Sciences, Polytechnic Institute of Bragança, 5300-252 Bragança, Portugal)

Abstract

This study aimed to identify potential predictors of 200 m front crawl performance at the winter season peak based on the anthropometric, physiological and biomechanical domains. Twelve expert male swimmers completed an incremental 7 × 200 m step test immediately after their most important winter competitions. Measurements were made of: (i) height, body mass and arm span as anthropometrical parameters; (ii) velocity at a 4 mmol·L −1 lactate concentration (V4), maximal oxygen uptake (VO 2máx ) and energy cost (C), as physiological parameters; (iii) stroke frequency (SF), stroke length (SL), stroke index (SI) and propelling efficiency (η p ) as biomechanical indicators; and (iv) 200 m front crawl race time in official long course competitions. Spearman correlation coefficients identified V4 as the single factor having significant relationship with performance. Simple regression analysis determined V4, SI and arm span as the most relevant variables of each group. Multiple linear regression models showed that physiological factors explained better (59%) the variation in performance at this stage of the season, followed by the biomechanical (14%) ones. Therefore, V4 can be one important aspect for training control and diagnosis for those who want to achieve success in the 200 m front crawl at the winter season peak.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:6:p:2126-:d:335837
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    References listed on IDEAS

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    1. 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.
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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.

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