INTRODUCTION: The aim of this study was to clarify the relationship between physical fitness and slalom (SL) and giant slalom (GS) racing times. METHODS: Five male collegiate alpine skiers participated in this study. Prior to the skiing test, Counter-Movement-Jump (CMJ), Squat-Jump (SJ), Rebound-Jump (RJ), Bending-jump (BJ), Hexagonal-jump (Hex), Hexagonal-obstacle (Hex-Obs), Box-jump 90s (BJ90), Maximal-anaerobic-power test (MaAP), Wingate 40s (W40), and shuttle-run (SR) were tested. The skiing test was conducted on a slope with maximal inclination of 20 degrees. Three runs for both SL and GS were used to measure skiing times. A linear regression analysis and a forward stepwise linear regression formula initiated with a null model of prediction and pursued until no independent variables could be removed or added was also performed. RESULTS: Significant correlations (p < 0.05) were found between SL3 time and Hex and GS2, as well as GS3 and GS average time and mean power from W40. A formula for calculating SL3 time was established: SL3 time (s) = 0.362 * Hex (s) +33.778 (r = 0.988, p < 0.01), GS2 time (s) = -0.017 * mean power of W40 (Watt) -0.248 * Hex (s) +0.01 * peak power of W40 (Watt) + 0.027 * BJ (s) +43.392 (r = 1.000, p < 0.001), GS 3 time (s) = -0.010 * mean power of W40 (Watt) +38.802 (r = 0.887, p < 0.05), and GS average time (s) = -0.016 * mean power of W40 (Watt) -0.284 * BJ (s) +45.404 (r = 0.995, p < 0.01). DISCUSSION/CONCLUSION: The Hex, W40, and BJ test results could serve as predictors for SL and GS performance of collegiate alpine skiers.
© Copyright 2023 9th International Congress on Science and Skiing, March 18 - 22, 2023, Saalbach-Hinterglemm, Austria. Published by University of Salzburg. All rights reserved.