Abstract
The aim of this study was twofold. The first aim was to examine the association of anthropometric measures on kinematic characteristic which represent stroke efficiency in young female front crawl swimmers. The second aim was to create a prediction model which could provide help to swimming coaches with the purpose of easier and better selection of female front crawl swimmers by measuring and following basic morphological characteristics. Eighty female competitive swimmers all members of the swimming Clubs in province of Vojvodina, Serbia (age 12.52 ± 08 years, years of training involvement 4.05 ± 1.2 and personal best times over 50 m front crawl 32.79 ± 0.86 s) performed 50 m front crawl race. The 50 m front crawl swimming efficiency expressed through stroke index significantly was related to body height (r = 0.44, p = 0.000), body mass (r = 0.402, p = 0.000), sitting height (r = 0.612, p = 0.000) arm spam (r = 0.576, p = 0.000), biacromial diameter (r = 0.470, p = 0.000), bicrestal diameter (r = 0.348, p = 0.001) and with chest circumference (r = 0.427, p = 0.000). Regression equation for stroke index prediction was defined by following variables: body mass, sitting height, arm span, chest circumference with 43.5% explained variance. Additionally by analyzing obtained model the higher the values of SH, ARSP, CHICR and the lower values of BM in a group of early pubescent female swimmers the higher 50 m front crawl efficiency values will be.
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