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不同速度下跑步模式一致性的检查。

Examination of running pattern consistency across speeds.

作者信息

Patoz Aurélien, Lussiana Thibault, Breine Bastiaan, Gindre Cyrille, Malatesta Davide, Hébert-Losier Kim

机构信息

Institute of Sport Sciences, University of Lausanne, Lausanne, Switzerland.

Research and Development Department, Volodalen Swiss Sport Lab, Aigle, Switzerland.

出版信息

Sports Biomech. 2025 Feb;24(2):200-214. doi: 10.1080/14763141.2022.2094825. Epub 2022 Jul 4.

Abstract

Duty factor (DF) and step frequency (SF) are key running pattern determinants. However, running patterns may change with speed if DF and SF changes are inconsistent across speeds. We examined whether the relative positioning of runners was consistent: 1) across five running speeds (10-18 km/h) for four temporal variables [DF, SF, and their subcomponents: contact () and flight () time]; and 2) across these four temporal variables at these five speeds. Three-dimensional whole-body kinematics were acquired from 52 runners, and deviations from the median for each variable (normalised to minimum-maximum values) were extracted. Across speeds for all variables, correlations on the relative positioning of individuals were to for 2-4 km/h speed differences, and to for 6-8 km/h differences. Across variables for all speeds, correlations were between DF-SF, between DF-, and to between DF-, SF-, and SF-. Hence, the consistency in running patterns decreased as speed differences increased, suggesting that running patterns be assessed using a range of speeds. Consistency in running patterns at a given speed was low between DF and SF, corroborating suggestions that using both variables can encapsulate the full running pattern spectrum.

摘要

负荷因子(DF)和步频(SF)是关键的跑步模式决定因素。然而,如果DF和SF在不同速度下的变化不一致,跑步模式可能会随速度而改变。我们研究了跑步者的相对位置是否一致:1)对于四个时间变量[DF、SF及其子成分:着地()和腾空()时间],在五种跑步速度(10 - 18千米/小时)下;以及2)在这五种速度下针对这四个时间变量。从52名跑步者身上获取了三维全身运动学数据,并提取了每个变量相对于中位数的偏差(归一化到最小值 - 最大值)。对于所有变量,在速度差异为2 - 4千米/小时时,个体相对位置的相关性为 至 ,在速度差异为6 - 8千米/小时时,相关性为 至 。对于所有速度下的变量,DF - SF之间的相关性为 ,DF - 之间的相关性为 ,DF - 、SF - 和SF - 之间的相关性为 至 。因此,随着速度差异的增加,跑步模式的一致性降低,这表明应使用一系列速度来评估跑步模式。在给定速度下,DF和SF之间跑步模式的一致性较低,这证实了使用这两个变量可以涵盖整个跑步模式范围的建议。

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