Messier S P, Edwards D G, Martin D F, Lowery R B, Cannon D W, James M K, Curl W W, Read H M, Hunter D M
J. B. Snow Biomechanics Laboratory, Department of Health and Sport Science, Wake Forest University, Winston-Salem, NC 27109, USA.
Med Sci Sports Exerc. 1995 Jul;27(7):951-60. doi: 10.1249/00005768-199507000-00002.
The objectives of our study were: 1) to examine differences between a noninjured cohort of runners (N = 70) and runners afflicted with iliotibial band friction syndrome (ITBFS) (N = 56) according to selected anthropometric, biomechanical, muscular strength, and training measures; 2) to explore multivariate relationships among these measures in both the well and injured groups; and 3) to develop specific hypotheses concerning risk factors for injury that will later be tested in a prospective observational study. High speed videography (200 fps), 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 analysis of the training data revealed weekly mileage, training pace, number of months using current training protocol, % time spent swimming, and % time spent running on a track to be significant (P < 0.10). Height was a significant anthropometric discriminator, while seven isokinetic strength and endurance measures were found to discriminate significantly between the groups. Calcaneal to vertical touchdown angle, and maximum supination velocity were significant rearfoot movement discriminators. Maximum braking force was the only significant kinetic discriminator. A combined discriminant analysis using those variables found to be significant in the previous analyses revealed weekly mileage, and maximum normalized braking force to be the best discriminators (model P < 0.05).(ABSTRACT TRUNCATED AT 250 WORDS)
1)根据选定的人体测量学、生物力学、肌肉力量和训练指标,检查未受伤的跑步者队列(N = 70)和患有髂胫束摩擦综合征(ITBFS)的跑步者(N = 56)之间的差异;2)探讨健康组和受伤组中这些指标之间的多变量关系;3)提出有关损伤危险因素的具体假设,随后在前瞻性观察研究中进行检验。分别使用高速摄像机(200帧/秒)、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。对训练数据进行线性判别函数分析发现,每周里程数、训练配速、使用当前训练方案的月数、游泳时间百分比以及在跑道上跑步的时间百分比具有显著性(P < 0.10)。身高是一个显著的人体测量学判别指标,同时发现七项等速力量和耐力指标在两组之间具有显著差异。跟骨至垂直触地角度和最大内旋速度是显著的后足运动判别指标。最大制动力是唯一显著的动力学判别指标。使用在前述分析中发现具有显著性的变量进行联合判别分析,结果显示每周里程数和最大标准化制动力是最佳判别指标(模型P < 0.05)。(摘要截选至250词)