Mercier Quentin, Aftalion Amandine, Hanley Brian
Centre d'Analyse et de Mathématique Sociales, CNRS UMR-8557, Ecole des Hautes Etudes en Sciences Sociales, Paris, France.
Carnegie School of Sport, Leeds Beckett University, Leeds, United Kingdom.
Front Sports Act Living. 2021 Jan 20;2:636428. doi: 10.3389/fspor.2020.636428. eCollection 2020.
The distribution of energetic resources in world-class distance running is a key aspect of performance, with athletes relying on aerobic and anaerobic metabolism to greater extents during different parts of the race. The purpose of this study is to model 10,000 m championship performances to enable a deeper understanding of the factors affecting running speed and, given that more than half the race is run on curves, to establish the effect of the bends on performance. Because a limitation of time split data is that they are typically averaged over 100-m or 1,000-m segments, we simulate two 10,000 m runners' performances and thus get access to their instantaneous speed, propulsive force and anaerobic energy. The numerical simulations provide information on the factors that affect performance, and we precisely see the effect of parameters that influence race strategy, fatigue, and the ability to speed up and deal with bends. In particular, a lower anaerobic capacity leads to an inability to accelerate at the end of the race, and which can accrue because of a reliance on anaerobic energy to maintain pace in an athlete of inferior running economy. We also see that a runner with a worse running economy is less able to speed up on the straights and that, in general, the bends are run slower than the straights, most likely because bend running at the same pace would increase energy expenditure. Notwithstanding a recommendation for adopting the accepted practices of improving aerobic and anaerobic metabolism through appropriate training methods, coaches are advised to note that athletes who avoid mid-race surges can improve their endspurt, which are the differentiating element in closely contested championship races.
世界级长跑中能量资源的分配是成绩的关键因素,运动员在比赛的不同阶段对有氧和无氧代谢的依赖程度不同。本研究的目的是对10000米锦标赛成绩进行建模,以便更深入地了解影响跑步速度的因素,并且鉴于超过一半的赛程是在弯道上进行的,要确定弯道对成绩的影响。由于分段时间数据的一个局限性是它们通常是在100米或1000米的段上进行平均的,我们模拟了两名10000米跑者的成绩,从而获得他们的瞬时速度、推进力和无氧能量。数值模拟提供了影响成绩的因素的信息,我们可以精确地看到影响比赛策略、疲劳以及加速和应对弯道能力的参数的作用。特别是,较低的无氧能力会导致在比赛结束时无法加速,这可能是因为一名跑步经济性较差的运动员依赖无氧能量来保持配速。我们还发现,跑步经济性较差的跑者在直道上加速的能力较弱,而且一般来说,弯道的速度比直道慢,这很可能是因为以相同配速在弯道上跑步会增加能量消耗。尽管有通过适当训练方法改善有氧和无氧代谢的公认做法的建议,但建议教练注意,避免在比赛中途冲刺的运动员可以提高他们的冲刺能力,而冲刺能力是在竞争激烈的锦标赛中区分胜负的因素。