Creaby Mark W, Le Rossignol Scott, Conway Zachary J, Ageberg Eva, Sweeney Matthew, Franettovich Smith Melinda M
School of Exercise Science, Australian Catholic University, Australia.
School of Exercise Science, Australian Catholic University, Australia.
Phys Ther Sport. 2017 Sep;27:1-6. doi: 10.1016/j.ptsp.2017.05.005. Epub 2017 Jun 15.
To investigate if frontal plane kinematics are predictive of three dimensional (3D) hip adduction and hip internal rotation during running.
Cross-sectional.
Biomechanics laboratory.
Thirty healthy male runners aged 18-45 years.
Two dimensional (2D) angles in the frontal plane (peak pelvic obliquity, peak hip adduction, peak femoral valgus, peak knee valgus and peak tibial valgus) and 3D hip adduction and hip internal rotation during stance phase of running were obtained.
Linear regression modelling revealed that peak 2D pelvic obliquity (a drop towards the contralateral leg) and peak femoral valgus significantly predicted 88% of the variance in peak 3D hip adduction (p < 0.001). Frontal plane kinematics however, were not predictive of peak hip internal rotation in 3D (p > 0.05).
Frontal plane kinematics, specifically contralateral pelvic drop and femoral valgus, predicted the vast majority of the variance in 3D hip adduction during the stance phase of running. This indicates that 2D video may have potential as a clinically feasible proxy for measurement of peak 3D hip adduction - a risk factor for patellofemoral pain.
研究额状面运动学是否可预测跑步过程中的三维（3D）髋关节内收和髋关节内旋。
横断面研究。
生物力学实验室。
30名年龄在18 - 45岁之间的健康男性跑步者。
获取跑步站立阶段额状面的二维（2D）角度（骨盆倾斜峰值、髋关节内收峰值、股骨外翻峰值、膝关节外翻峰值和胫骨外翻峰值）以及3D髋关节内收和髋关节内旋情况。
线性回归模型显示，二维骨盆倾斜峰值（向对侧腿下降）和股骨外翻峰值显著预测了三维髋关节内收峰值88%的变化（p < 0.001）。然而，额状面运动学并不能预测三维髋关节内旋峰值（p > 0.05）。
额状面运动学，特别是对侧骨盆下降和股骨外翻，预测了跑步站立阶段三维髋关节内收的绝大部分变化。这表明二维视频可能作为测量三维髋关节内收峰值（髌股疼痛的一个危险因素）的临床可行替代方法。
Zotero 插件