Duffey M J, Martin D F, Cannon D W, Craven T, Messier S P
Department of Health and Exercise Science, Wake Forest University, Winston- Salem, NC 27109, USA.
Med Sci Sports Exerc. 2000 Nov;32(11):1825-32. doi: 10.1097/00005768-200011000-00003.
The objectives of this study were 1) to examine the differences between a noninjured (C) cohort of runners (N = 70) and runners afflicted with anterior knee pain (AKP) according to selected training, anthropometric, rearfoot motion, ground reaction force, and muscular strength and endurance variables; 2) to explore multivariate relationships among these measures in the well and injured groups; and 3) to develop specific hypotheses concerning risk factors for injury that will later be tested in a prospective clinical study.
High speed videography (200 frames x s(-1)), a force platform (500 Hz), and a Cybex II+ isokinetic dynamometer were used to assess rearfoot motion, ground reaction forces, and knee muscular strength and endurance, respectively. A linear discriminant function was performed on each of the five categories of variables and revealed 19 significant (P < or = 0.05) predictors. These variables were then combined and a final discriminant function analysis was performed.
Pronation through the first 10% of stance, arch index, shoe mileage, and extension peak torque were the best overall (P < or = 0.05) predictors. The AKP group had smaller mean values on all four significant predictors.
With the exception of shoe mileage, which is likely a response to rather than a risk factor for AKP, these results should prove useful to clinicians in identifying runners at risk for anterior knee pain.
本研究的目的是:1)根据选定的训练、人体测量学、后足运动、地面反作用力以及肌肉力量和耐力变量,检查未受伤的(C)跑步者队列(N = 70)与患有前膝疼痛(AKP)的跑步者之间的差异;2)探索健康组和受伤组中这些测量指标之间的多变量关系;3)提出有关损伤风险因素的具体假设,随后在前瞻性临床研究中进行检验。
分别使用高速摄像机(200帧×秒⁻¹)、测力平台(500赫兹)和Cybex II+等速测力计来评估后足运动、地面反作用力以及膝关节肌肉力量和耐力。对五类变量中的每一类进行线性判别函数分析,揭示了19个显著(P≤0.05)预测因子。然后将这些变量合并,并进行最终的判别函数分析。
站立最初10%阶段的内旋、足弓指数、鞋子里程数和伸展峰值扭矩是总体上最佳的(P≤0.05)预测因子。在所有四个显著预测因子上,AKP组的平均值较小。
除了鞋子里程数可能是对AKP的一种反应而非风险因素外,这些结果对临床医生识别有前膝疼痛风险的跑步者应是有用的。