Kirby Brett S, Winn Brad J, Wilkins Brad W, Jones Andrew M
Nike Sport Research Lab, Nike, Inc., Beaverton, Oregon.
Department of Human Physiology, Gonzaga University, Spokane, Washington.
J Appl Physiol (1985). 2021 Nov 1;131(5):1532-1542. doi: 10.1152/japplphysiol.00223.2021. Epub 2021 Oct 7.
The best possible finishing time for a runner competing in distance track events can be estimated from their critical speed (CS) and the finite amount of energy that can be expended above CS (D´). During tactical races with variable pacing, the runner with the "best" combination of CS and D´ and, therefore, the fastest estimated finishing time prior to the race, does not always win. We hypothesized that final race finishing positions depend on the relationships between the pacing strategies used, the athletes' initial CS, and their instantaneous D´ (i.e., D´ balance) as the race unfolds. Using publicly available data from the 2017 International Association of Athletics Federations (IAAF) World Championships men's 5,000-m and 10,000-m races, race speed, CS, and D´ balance were calculated. The correlation between D´ balance and actual finishing positions was nonsignificant using start-line values but improved to > 0.90 as both races progressed. The D´ balance with 400 m remaining was strongly associated with both final 400-m split time and proximity to the winner. Athletes who exhausted their D´ were unable to hold pace with the leaders, whereas a high D´ remaining enabled a fast final 400 m and a high finishing position. The D´ balance model was able to accurately predict finishing positions in both a "slow" 5,000-m and a "fast" 10,000-m race. These results indicate that although CS and D´ can characterize an athlete's performance capabilities prior to the start, the pacing strategy that optimizes D´ utilization significantly impacts the final race outcome. We show that the interaction between exercise bioenergetics and real-time pacing strategy predicts track distance running performance. Critical speed (CS) and the finite energy expended above CS (D´) can characterize an athlete's capabilities prior to the race start, but the pacing strategy that optimizes D´ utilization ultimately impacts whether a runner is in contention to win and whether a runner will have a fast final 400 m. Accordingly, D´ balance predicts final race finishing order.
参加径赛长跑项目的运动员的最佳完赛时间可以根据其临界速度(CS)以及能够在临界速度之上消耗的有限能量(D´)来估算。在节奏多变的战术性比赛中,拥有CS和D´的“最佳”组合、因而在比赛前预计完赛时间最快的选手并不总是能获胜。我们假设,比赛的最终完赛名次取决于比赛过程中所采用的配速策略、运动员初始的CS以及他们的瞬时D´(即D´平衡)之间的关系。利用国际田径联合会(IAAF)2017年世界锦标赛男子5000米和10000米比赛的公开数据,计算了比赛速度、CS和D´平衡。使用起跑线时的数值,D´平衡与实际完赛名次之间的相关性并不显著,但随着两场比赛的进行,相关性提高到了>0.90。还剩400米时的D´平衡与最后400米的分段时间以及与冠军的接近程度都密切相关。耗尽其D´的运动员无法与领先者保持同步,而剩余较高的D´则能在最后400米实现快速冲刺并获得较高的完赛名次。D´平衡模型能够准确预测“慢速”的5000米比赛和“快速”的10000米比赛中的完赛名次。这些结果表明,虽然CS和D´可以表征运动员在起跑前的表现能力,但优化D´利用的配速策略会显著影响比赛的最终结果。我们表明,运动生物能量学与实时配速策略之间的相互作用能够预测径赛长跑成绩。临界速度(CS)以及在临界速度之上消耗的有限能量(D´)可以表征运动员在比赛开始前的能力,但优化D´利用的配速策略最终会影响一名选手是否有机会获胜以及一名选手最后400米能否快速冲刺。因此,D´平衡能够预测比赛的最终完赛顺序。