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在山地超级马拉松期间的亚最大力-速度关系:来自现场的数据
Clément Delhaye1, Pablo Rozier-Delgado1, Mylène Vonderscher1
1Inter-University Laboratory of Human Movement Sciences, University Savoie Mont Blanc, Chambéry, EA, France.
Journal of sports sciences
|October 13, 2024
概括
这项研究引入了一种使用Strava数据分析山地超级马拉松表现的新方法,揭示了关键的速度-力关系参数,这些参数表明运动员在极端比赛中的能力和疲劳.
科学领域:
- 运动科学 运动科学 运动科学
- 生物力学 生物力学
- 超耐力生理学 超耐力生理学
背景情况:
- 速度-力 (V) 关系对于理解运动表现至关重要.
- 在山地超耐力赛中评估这种关系,由于地形和持续时间,提出了独特的挑战.
- 众包数据为大规模分析提供了潜在的解决方案.
研究的目的:
- 开发和验证一种用于评估山地超级马拉松跑步中次最大速度-力 (V(F)) 关系的新方法.
- 使用众包数据来描述精英山地超级马拉松选手的V(F) 个人资料.
- 为了研究疲劳在超级耐力赛期间对V (F) 关系的影响.
主要方法:
- 利用来自408名参加171公里UTMB® 2023比赛的众包GPS数据.
- 将比赛划分为100米间隔,以计算平均净推进力和速度.
- 使用参数F1,V0和C的理性函数建模了亚最大V(F) 关系.
主要成果:
- 已确立的规范V (F) 参数:F1 = 1.80 ± 0.33 N·kg−1,V0 = 2.36 ± 0.42 m·s−1,以及C = 0.66 ± 1.81.
- 确定了高表现的运动员表现出更高的F1,V0和C值.
- 由于比赛期间的疲劳,观察到V(F) 参数显著下降 (20.9%至59.8%的减少).
结论:
- V (F) 关系提供了一种原创且有效的方法来研究山地超耐力运动的性能.
- 描述的V(F) 参数可以作为运动员能力和疲劳能力的指标.
- 众包数据分析是极端运动中大规模生理研究的可行方法.
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