IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i21p8192-d440751.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/21/8192/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/17/21/8192/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Deniz Aksoy, 2010. "Who gets what, when, and how revisited: Voting and proposal powers in the allocation of the EU budget," European Union Politics, , vol. 11(2), pages 171-194, June.
    2. Aaron K. Chatterji & David I. Levine & Michael W. Toffel, 2009. "How Well Do Social Ratings Actually Measure Corporate Social Responsibility?," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 18(1), pages 125-169, March.
    3. Charles Courtemanche & Art Carden, 2014. "Competing with Costco and Sam's Club: Warehouse Club Entry and Grocery Prices," Southern Economic Journal, John Wiley & Sons, vol. 80(3), pages 565-585, January.
    4. Asatryan, Zareh & Castellón, César & Stratmann, Thomas, 2018. "Balanced budget rules and fiscal outcomes: Evidence from historical constitutions," Journal of Public Economics, Elsevier, vol. 167(C), pages 105-119.
    5. David Granlund, 2022. "Direct and indirect savings from parallel imports in Sweden," Health Economics Review, Springer, vol. 12(1), pages 1-14, December.
    6. Eva Liljeblom & Sabur Mollah & Patrik Rotter, 2015. "Do dividends signal future earnings in the Nordic stock markets?," Review of Quantitative Finance and Accounting, Springer, vol. 44(3), pages 493-511, April.
    7. Diffney, Seán & Lyons, Seán & Malaguzzi Valeri, Laura, 2013. "Evaluation of the effect of the Power of One campaign on natural gas consumption," Energy Policy, Elsevier, vol. 62(C), pages 978-988.
    8. Marson, Marta & Savin, Ivan, 2022. "Complementary or adverse? Comparing development results of official funding from China and traditional donors in Africa," Structural Change and Economic Dynamics, Elsevier, vol. 62(C), pages 189-206.
    9. Tsai, Tsung-Han, 2016. "A Bayesian Approach to Dynamic Panel Models with Endogenous Rarely Changing Variables," Political Science Research and Methods, Cambridge University Press, vol. 4(3), pages 595-620, September.
    10. Zhiyuan Wang & Hyunjin Youn, 2018. "Locating the External Source of Enforceability: Alliances, Bilateral Investment Treaties, and Foreign Direct Investment," Social Science Quarterly, Southwestern Social Science Association, vol. 99(1), pages 80-96, March.
    11. Kern, Andreas & Reinsberg, Bernhard & Rau-Göhring, Matthias, 2019. "IMF conditionality and central bank independence," European Journal of Political Economy, Elsevier, vol. 59(C), pages 212-229.
    12. Tiberiu Dragu & Jonathan Rodden, 2010. "Representation and regional redistribution in federations," Working Papers 2010/16, Institut d'Economia de Barcelona (IEB).
    13. Andrew Bechard, 2020. "The economic impacts of harmful algal blooms on tourism: an examination of Southwest Florida using a spline regression approach," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 104(1), pages 593-609, October.
    14. Reibling, Nadine, 2013. "The international performance of healthcare systems in population health: Capabilities of pooled cross-sectional time series methods," Health Policy, Elsevier, vol. 112(1), pages 122-132.
    15. Gugler, Klaus & Haxhimusa, Adhurim, 2019. "Market integration and technology mix: Evidence from the German and French electricity markets," Energy Policy, Elsevier, vol. 126(C), pages 30-46.
    16. P. B. Zondi & Z. Robinson, 2021. "The Relationship between Government Debt and Economic Growth in South Africa with Specific Reference to Eskom," EuroEconomica, Danubius University of Galati, issue 2(40), pages 17-34, November.
    17. Stephan Kaplan, 2016. "partisan Technocratic Cycles in Latin America," Working Papers 2016-28, The George Washington University, Institute for International Economic Policy.
    18. Nicolás Cachanosky & Alexandre Padilla, 2020. "A panel data analysis of Latin American populism," Constitutional Political Economy, Springer, vol. 31(3), pages 329-343, September.
    19. Cullen Hendrix & Wendy Wong, 2014. "Knowing your audience: How the structure of international relations and organizational choices affect amnesty international’s advocacy," The Review of International Organizations, Springer, vol. 9(1), pages 29-58, March.
    20. Mitchener, Kris James & Richardson, Gary, 2013. "Does “skin in the game” reduce risk taking? Leverage, liability and the long-run consequences of new deal banking reforms," Explorations in Economic History, Elsevier, vol. 50(4), pages 508-525.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:17:y:2020:i:21:p:8192-:d:440751. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.