Senevirathna Angela M, Pohl Andrew J, Jordan Matthew J, Edwards William Brent, Ferber Reed
Department of Biomedical Engineering, University of Calgary, Calgary, Alberta, Canada.
Faculty of Kinesiology, University of Calgary, Calgary, Alberta, Canada.
Scand J Med Sci Sports. 2023 Feb;33(2):160-168. doi: 10.1111/sms.14249. Epub 2022 Nov 3.
Running is a popular form of physical activity with a high incidence of running-related injuries. However, the etiology of running-related injuries remains elusive, possibly due to the heterogeneity of movement patterns. The purpose of this study was to investigate whether different clusters existed within a large group of injured and uninjured runners based on their kinetic gait patterns. A sample of 134 injured and uninjured runners were acquired from an existing database and 12 discrete kinetic and spatiotemporal variables which are commonly associated with running injuries were extracted from the ground reaction force waveforms. A principal components analysis followed by an unsupervised hierarchical cluster analysis was performed. The results revealed two distinct clusters of runners which were not associated with injury status (OR = 1.14 [0.57, 2.30], χ = 0.143, p = 0.706) or sex (OR = 1.72 [0.85, 3.49], χ = 2.3258, p = 0.127). These results suggest that while there appeared to be evidence for two distinct clusters within a large sample of injured and uninjured runners, there is no association between the kinetic variables and running related injuries.
跑步是一种广受欢迎的体育活动形式,但与跑步相关的损伤发生率较高。然而,与跑步相关损伤的病因仍不明确,这可能是由于运动模式的异质性所致。本研究的目的是基于其动力学步态模式,调查在一大群受伤和未受伤的跑步者中是否存在不同的聚类。从一个现有数据库中获取了134名受伤和未受伤跑步者的样本,并从地面反作用力波形中提取了12个通常与跑步损伤相关的离散动力学和时空变量。进行了主成分分析,随后进行了无监督层次聚类分析。结果显示,跑步者分为两个不同的聚类,这与损伤状态(比值比=1.14[0.57,2.30],卡方=0.143,p=0.706)或性别(比值比=1.72[0.85,3.49],卡方=2.3258,p=0.127)无关。这些结果表明,虽然在一大群受伤和未受伤的跑步者样本中似乎有证据支持两个不同的聚类,但动力学变量与跑步相关损伤之间没有关联。