Sports Performance Research Institute New Zealand, Auckland University of Technology, Auckland, New Zealand.
Muscle Morphology, Mechanics, and Performance Laboratory, Department of Physical Medicine and Rehabilitation, University of Colorado, Anschutz Medical Campus, Aurora, CO, USA.
J Sport Rehabil. 2024 Jul 27;33(7):570-581. doi: 10.1123/jsr.2023-0245. Print 2024 Sep 1.
Horizontal hops can provide insight into how athletes can tolerate high-intensity single-leg stretch loads and are commonly used in athlete monitoring and injury management. Variables like flight, contact, and total time provide valuable diagnostic information to sports science professionals. However, gold-standard assessment tools (eg, 3-dimensional motion capture, force plates) require monetary and technological resources. Therefore, we used a tablet and free software to determine the between-rater, within-rater, and test-retest variability of the temporal events of multiple horizontal hop tests.
Reliability study.
Nine healthy males (20.8 [1.3] y, 71.4 [9.8] kg, 171.7 [4.5] cm) across various university sports teams and clubs volunteered and performed several triple (3-Hop) and quintuple (5-Hop) horizontal hops over 3 testing sessions. Six raters detected temporal events from video to determine between-rater variability, while a single rater quantified within-session and test-retest variability. The temporal variables of flight time, ground contact time for each individual hop, and the total time of each hoping series were determined. The consistency of measures was interpreted using the coefficient of variation and interclass correlation coefficients (ICC).
Good to excellent between-rater consistency was observed for all hops (ICC = .85-1.00). Absolute (coefficient of variation ≤ 2.0%) and relative consistency (ICC = .98-1.00) was excellent. Test-retest variability showed acceptable levels of absolute consistency (coefficient of variation ≤ 8.7%) and good to excellent consistency in 10/16 variables (ICC = .81-.93), especially those later in the hopping cycle.
A tablet and free digitizing software are reliable in detecting temporal events during multiple horizontal hops, which could have exciting implications for power diagnostics and return-to-play decisions. Therefore, rehabilitation and performance professionals can confidently utilize the highly accessible equipment from this study to track multiple hop performances.
水平跳跃可以深入了解运动员如何承受高强度单腿伸展负荷，常用于运动员监测和损伤管理。飞行、接触和总时间等变量为运动科学专业人员提供了有价值的诊断信息。然而，黄金标准评估工具（例如，三维运动捕捉、测力板）需要货币和技术资源。因此，我们使用平板电脑和免费软件来确定多次水平跳跃测试的时间事件的评分者间、评分者内和测试-再测试变异性。
可靠性研究。
9 名健康男性（20.8[1.3]岁，71.4[9.8]kg，171.7[4.5]cm）来自不同的大学运动队和俱乐部自愿参加了 3 次测试，完成了多次三（3-Hop）和五（5-Hop）水平跳跃。6 名评分者从视频中检测时间事件，以确定评分者间变异性，而一名评分者量化了各次测试内和测试-再测试变异性。确定了飞行时间、每次跳跃的地面接触时间以及每个跳跃系列的总时间等时间变量。使用变异系数和组内相关系数（ICC）来解释测量的一致性。
所有跳跃的评分者间一致性均良好至极好（ICC=.85-1.00）。绝对（变异系数≤2.0%）和相对一致性（ICC=.98-1.00）极好。测试-再测试变异性显示出可接受的绝对一致性水平（变异系数≤8.7%）和 10/16 个变量的良好至极好一致性（ICC=.81-.93），尤其是在跳跃周期后期。
平板电脑和免费数字化软件可可靠地检测多次水平跳跃中的时间事件，这对功率诊断和重返比赛决策具有令人兴奋的意义。因此，康复和表现专业人员可以有信心地使用本研究中高度可访问的设备来跟踪多次跳跃表现。
