Building a model for measuring the level of physical and skill performance of volleyball players according to the variance level of the MCT1 gene and basic biochemical indicators
Abstract
The use of modern technology for scientific studies in a variety of sectors, including sports, has led to significant advancements and tremendous progress in this field. This has resulted in the best performance in various competitions and sports, and one of the modern technologies is the field of genetics technology. The aim of this study was to build a model for measuring the level of physical and skill performance of volleyball players according to the variance level of the MCT1 gene and basic biochemical indicators. The researchers used the descriptive approach. The sample of the study consisted of 21 advanced volleyball players from the Middle Euphrates region participating in the Men's Premier League for the 2020-2021 sports season. To solve the research problem, we used the following variables: the MCT1 gene, chemical indicators of blood (LDH enzyme, the concentration of lactic acid in the blood, PH of blood), and the level of physical and skill performance in volleyball. The researchers used the Statistical Package for the Social Sciences (SPSS) for data analysis. In terms of the variance level of the MCT1 gene and various blood chemical indicators for the degree of performance of the skillful physical effort in volleyball, three prediction rates (models) were obtained. The amounts of variability of the MCT1 gene in the research sample varied between high and low levels. The researchers suggest using the model for prediction rates to determine the performance level of volleyball players and stressing genetic study of the MCT1 gene in volleyball players to facilitate the selection of players, particularly juniors.
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The works and papers that are published in this Journal are subject to the following terms:
1. The Publication Service of the University of Murcia (the publisher) has the Publication Rights (Copyright) to the published papers and works, and favors and permits the reusing of the same under the license indicated in point 2.
© Servicio de Publicaciones, Universidad de Murcia, 2013
2. The papers and works are to be published in the digital edition of the Journal under the license Creative Commons Reconocimiento-No Comercial-Sin Obra Derivada 3.0 España (legal text). The copying, using, spreading, transmitting and publicly displaying of the papers, works or publication are permitted as long as: i) the authors and original sources (Journal, publisher and URL of the publication) are quoted; ii) it is not used for commercial benefit; iii) the existence and specifications of this users license are mentioned.
3. Conditions of Self-Archiving. It is permitted and encouraged that the authors spread electronically the pre-print (before printing) and/or post-print (the revised, evaluated and accepted) versions of their papers or works before their publication since this favors their circulation and early diffusion and therefore can help increase their citation and quotation, and also there reach through the academic community.
