Department of Surgical and Perioperative Sciences, Section for Sports Medicine, Umeå University, Umeå, Sweden.
J Strength Cond Res. 2013 Apr;27(4):944-53. doi: 10.1519/JSC.0b013e318260edad.
The purpose of this study was to investigate: (a) If variables from 1-leg drop jump (DJ), DJ, squat jump (SJ), and countermovement jump (CMJ) tests can predict sprint performances for sprinters. (b) If sprinters and jumpers can be distinguished based on variables from 1-leg DJ, DJ, SJ, and CMJ tests, also if sprinters and throwers can be distinguished based on variables from stiff leg jump (SLJ), SJ, and CMJ tests. A single linear regression and multiple linear regression analysis approach with models including 2 or 3 variables were used when predicting sprint performances. Five elite sprinters (1 woman) participated in the first subexamination and 5 sprinters (1 woman) vs. 5 jumpers and 6 sprinters vs. 6 throwers (4 women) participated in the second. The force variable CMJ peak force (PF) relative to body weight significantly predicted the sprint performances maximal running velocity through 10-m (V[Combining Dot Above]O2max10m) and 60-m time. The Vmax10m was also predicted by CMJ height. Jump heights from SJ and DJ did not predict sprint performances. The between-group analysis of the athletes showed a nonsignificant group difference with respect to the jump variables. However, planned comparisons between sprinters and throwers showed significant differences in a number of SLJ variables. When constructing training programs for sprinters, the aim should be to improve CMJ PF and CMJ height because of the prediction of Vmax10-m and 60-m time, presumably because of velocity specificity components.
(a) 单腿跳(1-leg DJ)、DJ、深蹲跳(SJ)和反向跳(CMJ)测试中的变量是否可以预测短跑运动员的短跑成绩。(b) 是否可以根据 1-leg DJ、DJ、SJ 和 CMJ 测试中的变量区分短跑运动员和跳跃运动员,以及是否可以根据硬腿跳(SLJ)、SJ 和 CMJ 测试中的变量区分短跑运动员和投掷运动员。在预测短跑成绩时,使用单一线性回归和包含 2 或 3 个变量的多元线性回归分析方法。5 名精英短跑运动员(1 名女性)参加了第一次测试,5 名短跑运动员(1 名女性)对 5 名跳跃运动员和 6 名短跑运动员对 6 名投掷运动员(4 名女性)参加了第二次测试。相对于体重的 CMJ 峰值力(PF)的力变量显著预测了通过 10 米(V[Combining Dot Above]O2max10m)和 60 米时间的最大跑步速度。CMJ 高度也可以预测 Vmax10m。SJ 和 DJ 的跳跃高度与短跑成绩无关。运动员的组间分析显示,在跳跃变量方面,组间差异不具有统计学意义。然而,短跑运动员和投掷运动员之间的计划比较显示,在多个 SLJ 变量方面存在显著差异。在为短跑运动员制定训练计划时,由于 Vmax10-m 和 60-m 时间的预测,应旨在提高 CMJ PF 和 CMJ 高度,大概是因为速度特异性成分。