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高性能自行车运动员 W' 恢复动力学的准确性-间歇性工作能力建模。

Accuracy of W' Recovery Kinetics in High Performance Cyclists-Modeling Intermittent Work Capacity.

出版信息

Int J Sports Physiol Perform. 2018 Jul 1;13(6):724-728. doi: 10.1123/ijspp.2017-0034. Epub 2018 Jul 13.

DOI:10.1123/ijspp.2017-0034
PMID:29035607
Abstract

PURPOSE

With knowledge of an individual's critical power and W', the SKIBA 2 model provides a framework with which to track W' balance during intermittent high-intensity work bouts. There are fears that the time constant controlling the recovery rate of W' (τ) may require refinement to enable effective use in an elite population.

METHODS

Four elite endurance cyclists completed an array of intermittent exercise protocols to volitional exhaustion. Each protocol lasted approximately 3.5-6 min and featured a range of recovery intensities, set in relation to the athlete's critical power (D). Using the framework of the SKIBA 2 model, the τ values were modified for each protocol to achieve an accurate W' at volitional exhaustion. Modified τ values were compared with equivalent SKIBA 2 τ values to assess the difference in recovery rates for this population. Plotting modified τ values against D showed the adjusted relationship between work rate and recovery rate.

RESULTS

Comparing modified τ values against the SKIBA 2 τ values showed a negative bias of 112 (46) s (mean ± 95% confidence limits), suggesting that athletes recovered W' faster than predicted by SKIBA 2 (P = .0001). The modified τ-D relationship was best described by a power function: τ = 2287.2 × D (R = .433).

CONCLUSIONS

The current SKIBA 2 model is not appropriate for use in elite cyclists, as it underpredicts the recovery rate of W'. The modified τ equation presented will require validation but appears more appropriate for high-performance athletes. Individual τ relationships may be necessary to maximize the model's validity.

摘要

目的

利用个体的关键力量和 W'的知识,SKIBA 2 模型提供了一个框架,可以在间歇性高强度工作期间跟踪 W'的平衡。有人担心,控制 W'恢复率的时间常数(τ)可能需要细化,以便在精英人群中有效使用。

方法

四名精英耐力自行车运动员完成了一系列间歇性运动方案,直至达到自愿性衰竭。每个方案持续约 3.5-6 分钟,具有一系列不同的恢复强度,与运动员的关键力量(D)相关。使用 SKIBA 2 模型的框架,为每个方案修改 τ 值,以在自愿性衰竭时获得准确的 W'。将修改后的 τ 值与等效的 SKIBA 2 τ 值进行比较,以评估该人群的恢复率差异。将修改后的 τ 值与 D 作图,显示了工作率与恢复率之间的调整关系。

结果

将修改后的 τ 值与 SKIBA 2 τ 值进行比较,显示出 112(46)秒的负偏差(均值±95%置信区间),表明运动员比 SKIBA 2 预测的恢复 W'更快(P = .0001)。修改后的 τ-D 关系最好用幂函数描述:τ = 2287.2 × D(R = .433)。

结论

目前的 SKIBA 2 模型不适合用于精英自行车运动员,因为它低估了 W'的恢复率。提出的修改后的 τ 方程需要验证,但似乎更适合高性能运动员。可能需要个体 τ 关系来最大限度地提高模型的有效性。

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