跑步时髌股关节和胫股关节负荷的生物力学预测因素：一项横断面研究
简介
106名跑者的横断面研究用3D运动捕捉和肌肉骨骼模型估算跑步时髌股（PFJ）与胫股（TFJ）负荷，寻找可用2D视频和可穿戴设备测量的预测因素。峰值垂直地面反作用力、膝屈曲角、踝背屈角、支撑期长度和足着地角可预测PFJ负荷，膝屈曲角、峰值垂直地面反作用力、足着地角等可预测TFJ负荷，无性别差异。提示可用2D视频和可穿戴数据估算跑步时膝关节负荷，辅助髌股疼痛评估…
英文摘要
Clinicians lack accurate means to estimate patellofemoral (PFJ) and tibiofemoral (TFJ) kinetics outside the lab. We sought to identify biomechanical gait predictors of PFJ and TFJ kinetics in male and female runners. We used an idealized approach with 3-D motion capture via factors that are readily measured using clinical tools, i.e. 2-D video and wearable devices. Participants (n = 106; 53 females, 53 males) ran on an instrumented treadmill while kinematics, kinetics and temporospatial data were sampled. PFJ and TFJ contact forces were estimated via a musculoskeletal model. De-biased LASSO and ordinary least squares regression identified biomechanical predictors of peak, loading rate and cumulative PFJ and TFJ contact forces. Peak vertical ground reaction force (vGRF), peak knee flexion, peak ankle dorsiflexion, stance length and foot strike angle (all p < 0.05) were predictors of PFJ forces, while peak knee flexion, peak vGRF, foot strike angle, peak ankle dorsiflexion and stance length (all p < 0.05) were predictors of TFJ forces. There was no significant difference in sex-specific predictors for any of the PFJ or the TFJ outcome measures. In summary, these findings support the use of 2-D video and wearable data to provide reasonable estimates PFJ and TFJ kinetics during running.