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自由跳跃的力-速度曲线是个性化跳跃训练处方的可靠基础吗?

Is the Force-Velocity Profile for Free Jumping a Sound Basis for Individualized Jump Training Prescriptions?

作者信息

Bobbert Maarten F, Lindberg Kolbjørn, Paulsen Gøran

机构信息

Faculty of Behavioural and Movement Sciences, Department of Human Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, THE NETHERLANDS.

Department of Sport Science and Physical Education, Faculty of Health and Sport Sciences, University of Agder, Kristiansand, NORWAY.

出版信息

Med Sci Sports Exerc. 2025 Apr 1;57(4):727-737. doi: 10.1249/MSS.0000000000003612. Epub 2024 Nov 28.

Abstract

INTRODUCTION

Formulating individualized optimized jump training prescriptions based on the force-velocity profile has become popular, but its effectiveness has been contested. Such training programs have opposite effects on "maximal average force" and "maximal average shortening velocity," and we set out to investigate which training-induced changes in the neuromuscular system could cause such effects.

METHODS

We used a musculoskeletal simulation model with four body segments and six muscle-tendon actuators to simulate vertical squat jumps with different loads. Independent input was muscle stimulation over time, which was optimized for maximal jump height. We determined the force-velocity profile for a reference model and investigated how it changed when we modified muscle properties and initial postures.

RESULTS

We could not reproduce the reported training effects by realistically improving muscle properties (maximal force, shortening velocity, and rate of force development) or modifying initial postures of the model. However, the profile was very sensitive to gains in jump height at low loads but not high loads, or vice versa. Reaching maximal height in force-velocity profile jumps requires skill. We argued that submaximal performance in low-load or high-load jumps caused by lack of skill could be responsible for large imbalances in profiles before training. Differential skill training promoted by the individualized optimized approach could explain quick changes toward a balanced profile.

CONCLUSIONS

If the success of individualized optimized training studies is explained by selective skill improvements, training effects are unlikely to transfer to other tasks, and individualized optimized training will not be superior to other types of training.

摘要

引言

基于力-速度曲线制定个性化的优化跳跃训练方案已变得流行,但其实效性一直存在争议。此类训练方案对“最大平均力”和“最大平均缩短速度”有相反的影响,我们着手研究训练引起的神经肌肉系统哪些变化会导致这种影响。

方法

我们使用一个具有四个身体节段和六个肌腱驱动装置的肌肉骨骼模拟模型来模拟不同负荷下的垂直深蹲跳。独立输入是随时间变化的肌肉刺激,其针对最大跳跃高度进行了优化。我们确定了一个参考模型的力-速度曲线,并研究了在改变肌肉特性和初始姿势时它是如何变化的。

结果

通过实际改善肌肉特性(最大力、缩短速度和力发展速率)或改变模型的初始姿势,我们无法重现所报道的训练效果。然而,该曲线对低负荷而非高负荷下跳跃高度的增加非常敏感,反之亦然。在力-速度曲线跳跃中达到最大高度需要技巧。我们认为,训练前曲线中较大的不平衡可能是由于缺乏技巧导致低负荷或高负荷跳跃中的次最大表现所致。个性化优化方法所促进的差异技能训练可以解释向平衡曲线的快速变化。

结论

如果个性化优化训练研究的成功是由选择性的技能提升来解释的,那么训练效果不太可能转移到其他任务上,并且个性化优化训练也不会优于其他类型的训练。

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