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Significant Predictors of Sports Performance in Elite Men Judo Athletes Based on Multidimensional Regression Models

Author

Listed:
  • Maciej Kostrzewa

    (Institute of Sport Sciences, The Jerzy Kukuczka Academy of Physical Education, 40-065 Katowice, Poland)

  • Radosław Laskowski

    (Department of Physiology and Biochemistry, Gdansk University of Physical Education and Sport, 80-336 Gdańsk, Poland)

  • Michal Wilk

    (Institute of Sport Sciences, The Jerzy Kukuczka Academy of Physical Education, 40-065 Katowice, Poland)

  • Wiesław Błach

    (Department of Sport, University School of Physical Education, 51-612 Wrocław, Poland)

  • Angelina Ignatjeva

    (Institute of Sport Sciences, The Jerzy Kukuczka Academy of Physical Education, 40-065 Katowice, Poland)

  • Magdalena Nitychoruk

    (Institute of Sport Sciences, The Jerzy Kukuczka Academy of Physical Education, 40-065 Katowice, Poland)

Abstract

Background: This research aimed to identify the most significant predictors of sports level using regression modeling. Methods: This study examined 16 judokas (aged 23 (±2.5)) from four weight categories, with four athletes in each category (66 kg, 73 kg, 81 kg and 90 kg). Each athlete was a member of the Polish National Team, an international master class (IM) or national master class (M). The tests were carried out twice (every two weeks) during the pre-competitive season in the morning, after a 10-min warm-up. The tests were performed according to the following protocol: Explosive Strength Lower Limbs (ExSLL) [W], Strength Endurance Lower Limbs (SELL) [%], Explosive Strength Upper Limbs (ExSUL) [W], Strength Endurance Upper Limbs (SEUL) [%]. The relationships between the dependent variable (ranking score) and the other analyzed variables (predictors) were estimated using the one-factor ridge regression analysis. Results: There were significant intergroup and intragroup differences in the results of explosive strength and strength endurance of the lower and upper limbs. The best predictors were identified using regression modeling: ExSLL, SELL, and SEUL. Conclusions: Increasing the value of these predictors by a unit should significantly affect the scores in the ranking table. Correlation analysis showed that all variables that are strongly correlated with the Polish Judo Association (PJA) ranking table scores may have an effect on the sports performance.

Suggested Citation

  • Maciej Kostrzewa & Radosław Laskowski & Michal Wilk & Wiesław Błach & Angelina Ignatjeva & Magdalena Nitychoruk, 2020. "Significant Predictors of Sports Performance in Elite Men Judo Athletes Based on Multidimensional Regression Models," IJERPH, MDPI, vol. 17(21), pages 1-10, November.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:21:p:8192-:d:440751
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    References listed on IDEAS

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    1. Keele, Luke & Kelly, Nathan J., 2006. "Dynamic Models for Dynamic Theories: The Ins and Outs of Lagged Dependent Variables," Political Analysis, Cambridge University Press, vol. 14(2), pages 186-205, April.
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    Cited by:

    1. Monika Kowalczyk & Małgorzata Zgorzalewicz-Stachowiak & Wiesław Błach & Maciej Kostrzewa, 2022. "Principles of Judo Training as an Organised Form of Physical Activity for Children," IJERPH, MDPI, vol. 19(4), pages 1-8, February.
    2. Wieslaw Blach & Miodrag Drapsin & Nemanja Lakicevic & Antonino Bianco & Tamara Gavrilovic & Roberto Roklicer & Tatjana Trivic & Ognjen Cvjeticanin & Patrik Drid & Maciej Kostrzewa, 2021. "Isokinetic Profile of Elite Serbian Female Judoists," IJERPH, MDPI, vol. 18(13), pages 1-8, June.

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