Krzyszkowski John, Chowning Luke D, Harry John R
Human Performance & Biomechanics Laboratory, Department of Kinesiology & Sport Management, Texas Tech University, Lubbock, Texas.
J Strength Cond Res. 2022 May 1;36(5):1257-1263. doi: 10.1519/JSC.0000000000003645. Epub 2020 May 13.
Krzyszkowski, J, Chowning, LD, and Harry, JR. Phase-specific predictors of countermovement jump performance that distinguish good from poor jumpers. J Strength Cond Res 36(5): 1257-1263, 2022-The modified-reactive strength index (RSImod) is commonly examined during the countermovement vertical jump (CMJ) to assess neuromuscular characteristics (i.e., explosiveness, fatigue, adaptation, etc.) of an athlete. However, both phase-specific variables explaining RSImod and corresponding differences between good and poor jumpers are not well understood in trained populations. This study sought to (a) identify predictors of RSImod during the CMJ based on phase-specific temporal and rate of force development (RFD) variables, and (b) identify differences in those predictors between performers with high and low RSImod performances from a sample of collegiate male basketball players (n = 22; 20 ± 2 years; 1.99 ± 0.06 month; 93.8 ± 7.5 kg). Subjects performed 3 maximal effort CMJ trials while ground reaction force data was recorded using 2 force platforms. Phase-specific temporal and RFD variables were calculated and entered into separate stepwise regression models using backward elimination to identify predictors RSImod. Individuals were then categorized into high (n = 11; RSImod = 0.68 ± 0.10) and low (n = 11; RSImod = 0.48 ± 0.04) RSImod groups according to the overall median RSImod (RSImod = 0.55). Independent t-tests (α = 0.05) were conducted and supplemented by Cohen's d effect sizes (d ≥ 1.2, large) to compare groups relative to significant predictors identified by the linear regression models and related variables. The temporal regression model (R2 = 0.530) retained unloading time and concentric time, whereas the RFD regression model (R2 = 0.429) retained unloading RFD and braking RFD. The high RSImod group exhibited significantly greater RSImod scores (d = 2.51, p < 0.001) and jump heights (d = 1.58, p < 0.001), shorter times to takeoff (d = 1.27, p = 0.007) and concentric times (d = 1.51, p = 0.002), and a greater braking RFD (d = 1.41, p = 0.005) than the low RSImod group. Individuals targeting enhanced CMJ performance may consider exploring strategies or interventions to develop quicker unloading and concentric phases and increasing eccentric RFD abilities.
克日什科夫斯基,J、乔宁,LD和哈里,JR。区分优秀与较差跳跃者的反向运动跳跃表现的阶段特异性预测因素。《力量与体能研究杂志》36(5): 1257 - 1263,2022年 - 改良反应力量指数(RSImod)通常在反向运动垂直跳跃(CMJ)过程中进行检测,以评估运动员的神经肌肉特征(即爆发力、疲劳、适应性等)。然而,在训练人群中,解释RSImod的阶段特异性变量以及优秀与较差跳跃者之间的相应差异尚未得到充分理解。本研究旨在:(a)基于阶段特异性时间和力量发展速率(RFD)变量确定CMJ过程中RSImod的预测因素;(b)从一组大学男子篮球运动员样本(n = 22;20±2岁;1.99±0.06个月;93.8±7.5千克)中,确定RSImod表现高和低的参与者在这些预测因素上的差异。受试者进行3次最大努力的CMJ试验,同时使用2个力平台记录地面反作用力数据。计算阶段特异性时间和RFD变量,并将其输入单独的逐步回归模型,采用向后排除法确定RSImod的预测因素。然后根据总体中位数RSImod(RSImod = 0.55)将个体分为高RSImod组(n = 11;RSImod = 0.68±0.10)和低RSImod组(n = 11;RSImod = 0.48±0.04)。进行独立t检验(α = 0.05),并辅以科恩d效应量(d≥1.2,大),以比较相对于线性回归模型确定的显著预测因素和相关变量的组间差异。时间回归模型(R2 = 0.530)保留了卸载时间和向心时间,而RFD回归模型(R2 = 0.429)保留了卸载RFD和制动RFD。高RSImod组的RSImod得分(d = 2.51,p < 0.001)和跳跃高度(d = 1.58,p < 0.001)显著更高,起跳时间(d = 1.27,p = 0.007)和向心时间(d = 1.51,p = 0.002)更短,制动RFD更大(d = 1.41,p = 0.005)。目标是提高CMJ表现的个体可能会考虑探索策略或干预措施,以发展更快的卸载和向心阶段,并提高离心RFD能力。