Algorithm of athletes’ fitness structure individual features’ determination with the help of multidimensional analysis (on example of basketball)

Keywords: structure, sports, individual approach, algorithm


Purpose: to determine main laws of determination of athletes’ fitness structure’s individual characteristics with the help of multidimensional analysis (on example of basketball). Material: in the research elite basketball players (n=54) participated. Pedagogic testing included 12 tests, applied in combined teams of Ukraine and Russia. For every test three attempts were given and the best result was registered. The tests were passed during 2-3 training sessions. Results: we worked out general scheme of ways of athletes’ training individualization. For every athlete we determined the groups of leading and secondary factors in individual structure of fitness. The process of athletes’ training shall contain basic and variable components. Basic component was 70% of means in general system of athletes' training. Variable component was 30% of means and implies application of individual training means. Percentage of means in individual programs varies depending on the following: leading factors in fitness individual structure; period of individual dynamic of competition efficiency. In every micro-cycle 30% is assigned for athletes’ individual training: athletes received individual tasks; groups on the base of cluster analysis data were formed, if necessary. Conclusions: when working out individual training programs, development of leading factors in individual factorial structure of athletes’ fitness shall be accented. Application of individual programs, combined with universal individualization methods creates preconditions for rising competition activities’ efficiency.


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Author Biographies

Zh.L. Kozina, H.S. Skovoroda Kharkiv National Pedagogical University; Artema str. 29, Kharkov, 61002, Ukraine
M. Cieslicka, Kazimierz Wielki University in Bydgoszcz; Chodkiewicza str. 30, 85-064 Bydgoszcz, Poland
K. Prusik, Academy of Physical Education and Sports in Gdansk; ul. Wiejska 1, 80-336 Gdansk, Poland
R. Muszkieta, Nicolaus Copernicus University in Torun; Jurija Gagarina 11, 87-100 Torun, Poland
I.N. Sobko, Kharkov National Economic University; Lenina boulevard 9а, 61001, Kharkov, Ukraine
O.A. Ryepko, H.S. Skovoroda Kharkiv National Pedagogical University; Artema str. 29, Kharkov, 61002, Ukraine
T.A. Bazilyuk, Kiev National University of Technology and Design; st. Nemirovich-Danchenko, 2, Kiev, 01000, Ukraine
S.B. Polishchuk, H.S. Skovoroda Kharkiv National Pedagogical University; Artema str. 29, Kharkov, 61002, Ukraine
A.V. Osiptsov, Mariupol State University; Budivelnykiv Ave., 129a, Mariupol, 87500, Ukraine
S.A. Korol, Sumy State University; 2, Rymskogo-Korsakova st., 40007 Sumy, Ukraine


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How to Cite
Kozina Z, Cieslicka M, Prusik K, Muszkieta R, Sobko I, Ryepko O, Bazilyuk T, Polishchuk S, Osiptsov A, Korol S. Algorithm of athletes’ fitness structure individual features’ determination with the help of multidimensional analysis (on example of basketball). Physical education of students. 2017;21(5):225-38.

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