Department of Civil & Structural Engineering, University of Sheffield , Sheffield, UK.
J Sports Sci Med. 2009 Dec 1;8(4):639-47. eCollection 2009.
Because of inherent variability in all human cyclical movements, such as walking, running and jumping, data collected across a single cycle might be atypical and potentially unable to represent an individual's generalized performance. The study described here was designed to determine the number of successive cycles due to continuous, repetitive countermovement jumping which a test subject should perform in a single experimental session to achieve stability of the mean of the corresponding continuously measured ground reaction force (GRF) variables. Seven vertical GRF variables (period of jumping cycle, duration of contact phase, peak force amplitude and its timing, average rate of force development, average rate of force relaxation and impulse) were extracted on the cycle-by-cycle basis from vertical jumping force time histories generated by twelve participants who were jumping in response to regular electronic metronome beats in the range 2-2.8 Hz. Stability of the selected GRF variables across successive jumping cycles was examined for three jumping rates (2, 2.4 and 2.8 Hz) using two statistical methods: intra-class correlation (ICC) analysis and segmental averaging technique (SAT). Results of the ICC analysis indicated that an average of four successive cycles (mean 4.5 ± 2.7 for 2 Hz; 3.9 ± 2.6 for 2.4 Hz; 3.3 ± 2.7 for 2.8 Hz) were necessary to achieve maximum ICC values. Except for jumping period, maximum ICC values took values from 0.592 to 0.991 and all were significantly (p ≤ 0.05) different from zero. Results of the SAT revealed that an average of ten successive cycles (mean 10.5 ± 3.5 for 2 Hz; 9.2 ± 3.8 for 2.4 Hz; 9.0 ± 3.9 for 2.8 Hz) were necessary to achieve stability of the selected parameters using criteria previously reported in the literature. Using 10 reference trials, the SAT required standard deviation criterion values of 0.49, 0.41 and 0.55 for 2 Hz, 2.4 Hz and 2.8 Hz jumping rates, respectively, in order to approximate the ICC results. The results of the study suggest that the ICC might be a less conservative but more objective method to evaluate stability of the data. Based on these considerations, it can be recommended that a force time history due to continuous, repetitive countermovement jumping should include minimum of four (the average from the ICC analysis) and possibly as many as nine successive jumping cycles (the upper limit of the ICC analysis) to establish stable mean values of the selected GRF data. This information is important for both experimental measurements and analytical studies of GRF signals due to continuous, repetitive countermovement jumping. Key pointsThe number of successive jumping cycles due to continuous, repetitive countermovement jumping obtained from a test subject during in a single testing session influences the stability of the corresponding ground reaction force variables on a cycle-by-cycle basis.Researchers have used different criteria and methods for determining stability of ground reaction force data for a variety of activities, making comparisons among studies and activities difficult.In the present study, segmental averaging technique indicated that an average of ten successive jumping cycles were necessary to achieve stability of the selected force parameters using criteria previously reported in the literature, while less conservative test-retest intra-class correlation (ICC) analysis showed that an average of four successive jumping cycles were necessary for stability.Based on these considerations, it can be recommended that a force time history due to continuous, repetitive countermovement jumping should include minimum of four (the average from the ICC analysis) and possibly as many as nine successive jumping cycles (the upper limit of the ICC analysis) to achieve stability of jumping force data on a cycle-by-cycle basis.Knowledge about the stability of jumping force data is an important to maximize reliability of their experimental and analytical characterizations.
由于所有人类周期性运动(如行走、跑步和跳跃)都存在固有变异性,因此在单个周期内收集的数据可能是非典型的,并且可能无法代表个体的一般性能。这里描述的研究旨在确定个体在单次实验过程中连续进行多少次重复的反向跳跃运动,以实现相应连续测量的地面反作用力(GRF)变量的平均值的稳定性。在十二名参与者响应常规电子节拍器在 2-2.8 Hz 的范围内跳跃时,从垂直跳跃力时间历史中逐周期提取了七个垂直 GRF 变量(跳跃周期的周期、接触阶段的持续时间、峰值力幅值及其时间、平均力发展率、平均力松弛率和冲量)。使用两种统计方法:组内相关系数(ICC)分析和分段平均技术(SAT),检查了三个跳跃率(2、2.4 和 2.8 Hz)下所选 GRF 变量在连续跳跃周期中的稳定性。ICC 分析的结果表明,平均需要四个连续的跳跃周期(2 Hz 时平均 4.5 ± 2.7;2.4 Hz 时平均 3.9 ± 2.6;2.8 Hz 时平均 3.3 ± 2.7)才能达到最大 ICC 值。除了跳跃周期外,最大 ICC 值的范围为 0.592 至 0.991,所有值均与零显著不同(p ≤ 0.05)。SAT 的结果表明,平均需要十个连续的跳跃周期(2 Hz 时平均 10.5 ± 3.5;2.4 Hz 时平均 9.2 ± 3.8;2.8 Hz 时平均 9.0 ± 3.9)才能达到以前在文献中报道的标准稳定性所选参数。使用 10 个参考试验,SAT 分别需要 0.49、0.41 和 0.55 的标准偏差标准,以接近 ICC 结果,用于 2 Hz、2.4 Hz 和 2.8 Hz 的跳跃率。研究结果表明,ICC 可能是一种不太保守但更客观的方法来评估数据的稳定性。基于这些考虑,建议连续、重复的反向跳跃运动产生的力时间历史应至少包含四个(ICC 分析的平均值),并且可能包含多达九个连续的跳跃周期(ICC 分析的上限),以建立所选 GRF 数据的稳定平均值。这对于连续、重复的反向跳跃运动产生的 GRF 信号的实验测量和分析研究都很重要。关键点连续、重复的反向跳跃运动期间,个体在单次测试过程中获得的连续跳跃周期的数量会影响相应的地面反作用力变量在逐周期的稳定性。研究人员已经为各种活动使用了不同的标准和方法来确定地面反作用力数据的稳定性,这使得在研究和活动之间进行比较变得困难。在本研究中,分段平均技术表明,使用以前在文献中报道的标准,平均需要十个连续的跳跃周期才能达到所选力参数的稳定性,而不太保守的测试-再测试组内相关系数(ICC)分析表明,平均需要四个连续的跳跃周期才能达到稳定性。基于这些考虑,建议连续、重复的反向跳跃运动产生的力时间历史应至少包含四个(ICC 分析的平均值),并且可能包含多达九个连续的跳跃周期(ICC 分析的上限),以实现跳跃力数据在逐周期的稳定性。了解跳跃力数据的稳定性对于最大限度地提高其实验和分析特征的可靠性非常重要。