Developing an Algorithm for Building Individual Training Programs for Highly Qualified Multi-Sport Athletes at the Stage of Direct Preparation for Winter Season Competitions
DOI:
https://doi.org/10.17309/tmfv.2022.4.07Keywords:
combined events, multi-sport athletes, training process, programming, stage of direct preparation, algorithmAbstract
The purpose of the study was to develop and experimentally justify the effectiveness of the algorithm for building individual training programs for highly qualified multi-sport athletes at the stage of direct preparation for the main competitions of the winter season.
Materials and methods. Five highly qualified multi-sport athletes, whose sports qualification is the Master of Sports of Ukraine, took part in the pedagogical experiment. The mean age of the participants was (M±SD) 25.2±1.79 years. The main goal of the formative stage of the experiment (2020-2021) was to develop programs for the structural units of the training process (training classes, microcycles, mesocycles, and the stage of direct preparation for the main competitions) based on the developed algorithm for building individual programs. We have developed six consecutive steps for the purpose of achieving full preparation of athletes for major competitions.
Results. The implementation of an individual program at the stage of direct preparation for winter season competitions is effective and enables qualified multi-sport athletes to reach the peak of their sports form during participation in the competitions of the Ukrainian indoor heptathlon championship. This is evidenced by the achieved statistically significant differences (р<0.05) in all indicators of physical and functional fitness compared to the ascertainment stage of the experiment. The increase in indicators was 2.8–4.4 % in the running tests, 4.0–4.2 % in the tests reflecting speed and strength abilities, 6.6 % in the strength control exercise. We note a statistically significant (p<0.05) positive increase during the formative stage in the indicators of physical performance of multi-sport athletes within the range of 5.8–6.0 % and in the indicators of aerobic productivity within the range of 4.4–4.5 %.
Conclusions. The use of the algorithm for building an individual program of preparation for competitions of highly qualified multi-sport athletes orients the coach and athlete towards achieving the desired sports result in the shortest way with economical and rational use of training equipment at the most difficult and responsible stage of direct preparation for the main competitions. Compliance with the stated provisions of the algorithm made it possible to rationally plan and choose the best option for building the training process.
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