School of Health and Sports Sciences, University of Suffolk, Ipswich, United Kingdom.
Institute of Health and Wellbeing, University of Suffolk, Ipswich, United Kingdom.
Eur J Sport Sci. 2022 Dec;22(12):1847-1855. doi: 10.1080/17461391.2021.2002420. Epub 2021 Dec 30.
Jump take-off momentum has previously been proposed as an alternative test to predict sprint momentum. This study used a data simulation to replicate and systematically investigate relationships reported in previous studies between body mass, vertical jump performance, and sprint performance. Results were averaged for 1000 simulated data sets in each condition, and the effects of various parameters on correlations between jump momentum and sprint momentum were determined. The ability of jump take-off momentum to predict sprint momentum is greatest under relatively high inter-individual variation in body mass and relatively low inter-individual variation in jump height. This is largely due to the increased emphasis on body mass in these situations. Even under zero or a negative ( = -0.30) correlation between jump height and sprint velocity, the correlation between the two momenta remained ( ≥ 0.76) on average. There were no investigated conditions under which jump momentum was most frequently a significantly ( < 0.05) greater predictor of sprint momentum compared to simply using body mass alone. Furthermore, between-individual correlations should not be used to make inferences or predictions for within-individual applications ( predicting or evaluating the effects of a longitudinal training intervention). It is recommended that any rationale for calculating and/or monitoring jump take-off momentum should be separate from its ability to predict sprint momentum. Indeed, body mass alone may be a better predictor of sprint momentum. This study replicated and systematically perturbed relationships reported in the literature to investigate factors contributing to correlations between jump momentum and sprint momentum.The ability of jump take-off momentum to predict sprint momentum is greatest under relatively high inter-individual variation in body mass and relatively low inter-individual variation in jump height. This is largely due to the increased emphasis on body mass in these situations.Even under zero or a small negative correlation between jump height and sprint velocity, the correlation between the two momenta remained very large on average. There were no investigated conditions under which jump momentum was a better predictor of sprint momentum compared to simply using body mass alone.It is recommended that any rationale for calculating and/or monitoring jump take-off momentum should be separate from its ability to predict sprint momentum. Indeed, body mass alone may be a better inter-individual predictor of sprint momentum if such a prediction were deemed necessary.
起跳动量先前被提议作为一种替代测试来预测冲刺动量。本研究使用数据模拟来复制和系统地研究之前研究报告的身体质量、垂直跳跃表现和冲刺表现之间的关系。在每种情况下,对 1000 个模拟数据集的结果进行平均,并且确定了各种参数对跳跃动量和冲刺动量之间相关性的影响。在身体质量个体间变化较大且跳跃高度个体间变化较小的情况下,起跳动量预测冲刺动量的能力最大。这主要是因为在这些情况下,身体质量的重要性增加了。即使在跳跃高度和冲刺速度之间的相关性为零或负(= -0.30)的情况下,两个动量之间的相关性平均仍保持在(≥0.76)。在没有研究的情况下,起跳动量比仅使用身体质量更频繁地成为冲刺动量的显著(<0.05)更好预测因子。此外,个体间相关性不应用于对个体内应用进行推断或预测(预测或评估纵向训练干预的效果)。建议计算和/或监测起跳动量的任何基本原理应与其预测冲刺动量的能力分开。实际上,身体质量本身可能是冲刺动量的更好预测因子。本研究复制并系统地扰动了文献中报告的关系,以研究导致跳跃动量和冲刺动量之间相关性的因素。在身体质量个体间变化较大且跳跃高度个体间变化较小的情况下,起跳动量预测冲刺动量的能力最大。这主要是因为在这些情况下,身体质量的重要性增加了。即使在跳跃高度和冲刺速度之间的相关性为零或负(= -0.30)的情况下,两个动量之间的相关性平均仍保持在(≥0.76)。在没有研究的情况下,起跳动量比仅使用身体质量更频繁地成为冲刺动量的显著(<0.05)更好预测因子。建议计算和/或监测起跳动量的任何基本原理应与其预测冲刺动量的能力分开。实际上,身体质量本身可能是冲刺动量的更好预测因子,如果认为有必要进行此类预测。