Williams Kym J, Chapman Dale W, Phillips Elissa J, Ball Nick
Int J Sports Physiol Perform. 2018 Nov 1;13(10):1378-1385. doi: 10.1123/ijspp.2018-0050.
To establish the influence of athlete-dependent characteristics on the generation and timing of system and individual joint powers during a countermovement jump (CMJ).
Male national representative athletes from volleyball (n = 7), basketball (n = 6), and rugby (n = 7) performed a set of 3 CMJs at relative barbell loads of 0%, 10%, 20%, 30%, and 40% of absolute back-squat strength. Ground-reaction forces and joint kinematics were captured using a 16-camera motion-capture system integrated with 2 in-ground force plates. Limb lengths and cross-sectional areas were defined using 3-dimensional photonic scans. A repeated-measures analysis of variance determined the interaction between system and joint load-power profiles, whereas a multiregression analysis defined the explained variance of athlete-dependent characteristics on the load that maximized system power.
System and isolated hip, knee, and ankle peak powers were maximized across a spectrum of loads between and within sports; power values were not significantly different across loads. A positive shift in the timing of hip and ankle peak powers corresponded to a significant (P < .05) positive shift in the timing of system peak power to occur closer to toe-off. An optimal 3-input combination of athlete-dependent characteristics accounted for 68% (P < .001) of the explained variance in the load that maximized system peak power.
The load maximizing system power is athlete-dependent, with a mixture of training and heredity-related characteristics influencing CMJ load-power profiles. The authors recommend that a combination of relative loads be individually prescribed to maximize the generation and translation of system CMJ power.
确定运动员相关特征对反向纵跳(CMJ)过程中系统和个体关节功率的产生及时间的影响。
排球(n = 7)、篮球(n = 6)和橄榄球(n = 7)项目的男性国家代表运动员,在相当于绝对深蹲力量0%、10%、20%、30%和40%的杠铃负荷下进行一组3次的CMJ动作。使用集成了2个地面测力板的16台摄像机动作捕捉系统记录地面反作用力和关节运动学数据。通过三维光子扫描确定肢体长度和横截面积。重复测量方差分析确定系统和关节负荷-功率曲线之间的相互作用,而多元回归分析确定运动员相关特征对使系统功率最大化的负荷的解释方差。
系统以及孤立的髋、膝和踝关节的峰值功率在不同运动项目之间和项目内部的一系列负荷下均达到最大值;不同负荷下的功率值无显著差异。髋和踝关节峰值功率时间的正向变化对应着系统峰值功率时间的显著(P < .05)正向变化,使其更接近离地时刻。运动员相关特征的最佳三输入组合占使系统峰值功率最大化的负荷解释方差的68%(P < .001)。
使系统功率最大化的负荷因运动员而异,训练和遗传相关特征的综合影响CMJ的负荷-功率曲线。作者建议应根据个体情况分别规定相对负荷的组合,以最大化系统CMJ功率的产生和转化。