Shambaugh J P, Klein A, Herbert J H
NutriKinetics, Washington, DC 20036.
Med Sci Sports Exerc. 1991 May;23(5):522-7.
The purpose of this study was to investigate the relationship between structure and injury in basketball players, with the goal of developing equations to predict injury. We examined 45 subjects who were participating in a community center basketball league. Each subject was measured prior to the season for bilateral weight, quadricep girth, calf girth, Q-angle of the knee, dorsiflexion of the ankle, forefoot varus, rearfoot valgus, and true and apparent leg length. All lower extremity injuries causing a game to be missed were recorded during the 16-game season. Average values for bilateral weight, quadricep girth, Q-angle, rearfoot valgus, and leg length measures for the injured players were all larger than the average for the non-injured players by at least one standard deviation. A logistic regression equation using three of the variables correctly predicted the injury status of 91% of the players. The three-variable equation was then used prospectively to predict injury status for members of a small college basketball team. Only one player missed a game due to injury, and the equation identified that player as the most likely to be injured. This study demonstrates a strong relationship between structural measures and lower extremity injury in basketball players.
本研究的目的是调查篮球运动员的身体结构与伤病之间的关系，目标是开发用于预测伤病的方程式。我们检查了45名参加社区中心篮球联赛的受试者。在赛季开始前，对每个受试者的双侧体重、股四头肌围度、小腿围度、膝关节Q角、踝关节背屈、前足内翻、后足外翻以及真实和表观腿长进行了测量。在为期16场比赛的赛季中，记录了所有导致球员缺席比赛的下肢伤病情况。受伤球员的双侧体重、股四头肌围度、Q角、后足外翻和腿长测量的平均值均比未受伤球员的平均值至少高出一个标准差。使用其中三个变量的逻辑回归方程式正确预测了91%球员的伤病状况。然后，这个三变量方程式被前瞻性地用于预测一支小型大学篮球队队员的伤病状况。只有一名球员因伤缺席了比赛，该方程式将这名球员确定为最有可能受伤的球员。这项研究表明，篮球运动员的身体结构测量值与下肢伤病之间存在密切关系。
