从生物力学角度看训练有素的运动员和铁人三项运动员在低重力下跑步的能量消耗

O. Ueberschär, D. Fleckenstein, F. Warschun, Nico Walter, Jan Wüstenfeld, B. Wolfarth, M. Hoppe
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引用次数: 5

摘要

摘要:低重力跑步机已成为长跑和铁人三项运动中流行的训练工具。与直觉相反的是,跑步时的失重卸载不会减弱胫骨加速度负荷,而同样令人惊讶的是,跳跃变得更平而不是更高。为了从生物力学的角度解释这些影响,Polet, Schroeder和Bertram(2017)最近开发了一个低重力跑步的能量模型,并通过休闲运动员以恒定的慢跑速度进行验证。目前的研究是为了完善该模型,适用于比赛运动员在相关跑步速度为12-22 km h - 1,重力水平为100%,80%和60%的情况下。基于15名训练有素的跑步者在跑步机上进行的新实验数据,增强的半经验模型很好地描述了低重力跑步的能量消耗和观察到的生物力学效应。值得注意的是,当速度超过16-18 km h - 1时,厌氧的贡献导致每米能量成本的增加(p < 0.001),而不考虑失重卸载。此外,观察到一些收敛趋势,可能反映了运行电机控制的一般适应性,以优化效率。从本质上讲,这项研究的结果可能有助于运动科学家和实践者为特定的训练刺激设计跑步计划,例如无氧能量代谢的调节。
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Energy Cost of Running Under Hypogravity in Well-Trained Runners and Triathletes: A Biomechanical Perspective
Abstract Hypogravity treadmills have become a popular training tool in distance running and triathlon. Counter-intuitively, tibial acceleration load is not attenuated by hypogravity unloading during running, while, equally surprisingly, leaps become flatter instead of higher. To explain these effects from a biomechanical perspective, Polet, Schroeder, and Bertram (2017) recently developed an energetic model for hypogravity running and validated it with recreational athletes at a constant jogging speed. The present study was conducted to refine that model for competitive athletes at relevant running speeds of 12–22 km h−1 and gravity levels of 100 %, 80 % and 60 %. Based on new experimental data on 15 well-trained runners in treadmill tests until volitional exhaustion, the enhanced semi-empirical model well describes energy expenditure and the observed biomechanical effects of hypogravity running. Remarkably, anaerobic contributions led to an increase in energy cost per meter for speeds above 16–18 km h−1 (p < 0.001), irrespective of hypogravity unloading. Moreover, some converging trends were observed that might reflect general adaptations in running motor control for optimization of efficiency. In essence, the outcome of this research might help sports scientists and practitioners to design running programs for specific training stimuli, e.g. conditioning of anaerobic energy metabolism.
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来源期刊
International Journal of Computer Science in Sport
International Journal of Computer Science in Sport Computer Science-Computer Science (all)
CiteScore
2.20
自引率
0.00%
发文量
4
审稿时长
12 weeks
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