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- Title
Training load determining sports performance of swimmer at the 2012 London Olympics.
- Authors
GUZMAN, MATÚŠ; BROĎÁNI, JAROSLAV
- Abstract
Representative of the Slovak Republic M.S. in the years 2010-2016, she recorded a progressive growth of sports performance in swimming disciplines (50m butterfly 28.75 s, 100m butterfly 1:05.40 and 100m freestyle 55.86 s). In the 2012 annual training macrocycle, she achieved performances in the disciplines of 50m freestyle with a time of 25.53 and 100m freestyle with a time of 56.38. Retrospective analysis classified special and general training means that showed the highest tightness with sports performance in swimming. Non-parametric procedures such as Spearman's correlation coefficient and CHAID decision trees were used for interaction detection and prediction. When analyzing the data, we used the method of studying the training diaries from the 2012 annual training cycle. From the point of view of general training indicators, we focused on days of loading (GTI 110), the number of training units (GTI 111), the number of events (GTI 112), the total load time (GTI 113), regeneration time (GTI 114) and days of medical incapacity (GTI 115). Of the special training indicators, we focused on the total number of kilometers flown (STI 101), the volume of warm-up and swim-out (STI 102), the volume of aerobic endurance (STI 103), the volume of anaerobic endurance (STI 104), the volume of load swam in race pace (STI 105), elemental arm swimming (STI 106), elemental leg swimming (STI 107), technical exercises (STI 108). Among the special training indicators, the determinants of sports performance included the volume of warm-up and swim-out (STI 102) and elemental arm swimming (STI 106). Of the general training means, the number of events (GTI 112), days of loading (GTI 110) and the number of training units (GTI 111) determined the year-round sports performance. The exact identification of training means in terms of volume and intensity will allow us to rationalize the periodization of the training load, harmonize the conceptual starting points and improve the system of tuning the sports form of the observed swimmer for the next top world events.
- Subjects
ATHLETIC ability; SWIMMERS; OLYMPIC Games (30th : 2012 : London, England); ENDURANCE athletes; REGRESSION trees
- Publication
Journal of Physical Education & Sport, 2024, Vol 24, Issue 3, p703
- ISSN
2247-8051
- Publication type
Article
- DOI
10.7752/jpes.2024.03083