In the master's thesis, we determined the connection between physical characteristics and competitive performance in fast disciplines of alpine skiing, at the age category U16. The sample consisted of 42 competitors (23 boys and 19 girls) between 15 and 16 years of age. In the 2018/19 season they took part in the autumn measurements at the Faculty of Sport and actively participated in the competition for the Nordica Dobermann Grand Prix in the super-giant slalom. We obtained accurate results of the composition of the competitors’ bodies with the Inbody 720 Body Composition Analysis measuring device. For the purposes of our study, we took the following variables: muscle mass fraction, fat mass fraction, body mass index, and body fat percentage. In order to obtain the remaining necessary data, we also used the 3D Body Scan device, which obtained the following variables of body dimensions: body height, body weight, thigh circumference, waist circumference, chest circumference and shoulder diameter. The criterion for the competitive performance of the subjects was the number of points in the super-giant slalom.
The processing of data of all covered variables, both body dimensions and body composition, was based in the first step of the calculation of basic statistical parameters. The method of Prearson correlation coefficients was used to determine the correlation of individual variables with competitive performance in fast disciplines. In the boys’ population, we found a statistically significant association between the variables body weight, thigh circumference, chest circumference and muscle mass fraction, which means that subjects with better results of these measurements are ranked higher in super-giant slalom races. In the girls’ population, we found a statistically significant association between the variables waist circumference, chest circumference, muscle mass shares and body fat percentage, and competition performance. The correlation of the whole model was tested with the help of multiple regression analysis and we found that in the boys’ population the variables of body composition can explain competitive performance in fast disciplines in 73%, and in the girls’ population body composition affects performance in 59%.
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