Department of Biology, Mount Royal University, Calgary, AB, Canada.
Department of Health and Physical Education, Mount Royal University, Calgary, AB, CANADA.
Med Sci Sports Exerc. 2020 Jul;52(7):1549-1556. doi: 10.1249/MSS.0000000000002287.
Cumulative load has become a popular metric in running biomechanics research to account for potential spatiotemporal changes associated with different locomotion strategies. This study investigated how incorporating mechanical fatigue principles into Achilles tendon cumulative load measurements affected their relationship with running speed.
Achilles tendon forces and strains were estimated from a dynamometry/ultrasound session followed by a motion capture session, where participants ran at three speeds. Three cumulative measures of increasing complexity were calculated using Achilles tendon force/strain: 1) cumulative load, defined as the product of the stance phase time integral of Achilles tendon force/strain and the stride count for 1 km of running; 2) cumulative damage, which accounted for the nonlinear relationship between load magnitude and fatigue life by exponentially weighting the time integral of Achilles tendon force/strain before multiplication with stride count; and (3) the probability of fatigue failure, which expanded upon the cumulative damage measure of Achilles tendon strain by fitting a probabilistic Weibull model to existing fatigue life data to account for the inherent variability that exists in the fatigue life of biological samples.
Cumulative load measures significantly decreased with running speed, whereas the cumulative damage and probabilistic measures either increased or did not change significantly with running speed.
The choice of cumulative metric has an important influence on the interpretation of overuse injury risk with changes in running speed. Although cumulative load metrics certainly provide meaningful information about the load experienced over a given distance, they do not account for the tissue damage incurred by such load. Cumulative load metrics should therefore be interpreted with caution when making inferences to overuse injury risk.
累积负荷已成为跑步生物力学研究中的一种流行指标,用于解释与不同运动策略相关的潜在时空变化。本研究探讨了将机械疲劳原理纳入跟腱累积负荷测量中如何影响其与跑步速度的关系。
在测力/超声测试后,进行运动捕捉测试,参与者以三种速度跑步,从而估计跟腱力和应变。使用跟腱力/应变,计算了三种复杂度递增的累积测量值:1)累积负荷,定义为跟腱力/应变在一个步态周期内的时间积分与 1 公里跑步的步数的乘积;2)累积损伤,通过在跟腱力/应变的时间积分与步数相乘之前对其进行指数加权,考虑到负荷大小与疲劳寿命之间的非线性关系,从而计入了该值;3)疲劳失效概率,通过对跟腱应变的累积损伤测量值进行扩展,拟合概率 Weibull 模型以解释生物样本疲劳寿命中存在的固有变异性,从而计入了该值。
随着跑步速度的增加,累积负荷测量值显著降低,而累积损伤和概率测量值要么增加,要么随跑步速度变化不显著。
累积指标的选择对解释与跑步速度变化相关的过度使用损伤风险有重要影响。虽然累积负荷指标肯定提供了关于给定距离内经历的负荷的有意义信息,但它们没有考虑到这种负荷所导致的组织损伤。因此,在推断过度使用损伤风险时,应谨慎解读累积负荷指标。