Musculoskeletal Analysis Lab, College of Health Sciences, University of Memphis, Memphis, Tennessee ; and.
Wright Medical Group N.V., Memphis, Tennessee.
J Strength Cond Res. 2021 Mar 1;35(3):616-625. doi: 10.1519/JSC.0000000000003962.
Daugherty, HJ, Weiss, LW, Paquette, MR, Powell, DW, and Allison, LE. Potential predictors of vertical jump performance: Lower extremity dimensions and alignment, relative body fat, and kinetic variables. J Strength Cond Res 35(3): 616-625, 2021-The association of structural and kinetic variables with restricted vertical jump (RVJ) displacement without and with added mass was examined in 60 men and women. Added mass (weighted vest) simulated a 5% increase in body fat (BF%). Independent variables included BF%, thigh length, and static Q-angle (Q-angles), and while performing RVJ, different expressions of frontal-plane knee angle (FPKA), dynamic Q-angle (Q-angled), vertical ground reaction force (vGRF), concentric vertical impulse (Iz), concentric rate of force development (CRFD), and vertical power (Pz). Variables having significant (p ≤ 0.05) negative correlations with RVJ displacement included BF% (r = -0.76) and Q-angles (r = -0.55). Those having significant (p ≤ 0.05) positive correlations with RVJ displacement included peak and average concentric Pz (r range = 0.74-0.81), peak and average concentric vGRF (r range = 0.46-0.67), Iz (r range = 0.32-0.54), thigh length (r = 0.31), minimum Q-angled (r = 0.31), and maximum FPKA (r = 0.28). Variables not associated (p > 0.05) with RVJ displacement included minimum and excursion FPKA (r = 0.11 and 0.23), maximum, excursion, and average Q-angled (r = 0.24, 0.11, and 0.22), and CRFD (r range = 0.19-0.24). A simple regression model predicted RVJ displacement (p = 1.00) for the simulated 5% increase in body fat. To maximize jumping performance, (a) high levels of body fat should be avoided, (b) peak and average Pz, vGRF, and Iz should be maximized through training, and (c) having a lower Q-angles is associated with better jumping ability.
道格蒂,HJ,韦斯,LW,帕奎特,MR,鲍威尔,DW,和艾利森,LE。垂直跳跃表现的潜在预测因子:下肢尺寸和排列、相对体脂和动力学变量。J 力量与条件研究 35(3):616-625,2021-在 60 名男性和女性中检查了结构和动力学变量与限制垂直跳跃(RVJ)位移的关系,不包括和包括附加质量。附加质量(加重背心)模拟体脂增加 5%(BF%)。独立变量包括 BF%、大腿长度和静态 Q 角(Q-angles),而在进行 RVJ 时,不同的额状面膝关节角度(FPKA)、动态 Q 角(Q-angled)、垂直地面反作用力(vGRF)、向心垂直冲量(Iz)、向心力量发展率(CRFD)和垂直功率(Pz)表达。与 RVJ 位移有显著(p≤0.05)负相关的变量包括 BF%(r=-0.76)和 Q-angles(r=-0.55)。与 RVJ 位移有显著(p≤0.05)正相关的变量包括峰值和平均向心 Pz(r 范围=0.74-0.81)、峰值和平均向心 vGRF(r 范围=0.46-0.67)、Iz(r 范围=0.32-0.54)、大腿长度(r=0.31)、最小 Q-angled(r=0.31)和最大 FPKA(r=0.28)。与 RVJ 位移无显著相关性(p>0.05)的变量包括最小和偏移 FPKA(r=0.11 和 0.23)、最大、偏移和平均 Q-angled(r=0.24、0.11 和 0.22)和 CRFD(r 范围=0.19-0.24)。一个简单的回归模型预测了模拟体脂增加 5%时的 RVJ 位移(p=1.00)。为了最大限度地提高跳跃性能,(a)应避免高水平的体脂,(b)应通过训练使峰值和平均 Pz、vGRF 和 Iz 最大化,(c)较低的 Q-angles 与更好的跳跃能力相关。