Static and dynamic correlates of the knee adduction moment in healthy knees ranging from normal to varus-aligned.
Static and dynamic correlates of the knee adduction moment in healthy knees ranging from normal to varus-aligned.
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DOI：
10.1016/j.clinbiomech.2009.07.016
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发表时间：
2009-12
期刊：
影响因子：
--
通讯作者：
Davis IS
中科院分区：
文献类型：
--
作者：
Barrios JA;Higginson JS;Royer TD;Davis IS
膝关节内侧骨关节炎患者通常表现为膝关节内翻，行走时膝关节内收时间增加。了解与健康人膝关节内收瞬间相关的因素可能有助于深入了解这种疾病的发展。因此，这项研究的目的是检查静态和动态的下肢测量与膝关节内收力矩的关系。我们假设，动态措施将与这一时刻更紧密地联系在一起。记录了37个从正常到内翻对齐的年轻无症状膝关节的弓高指数、髋关节外展力量和两个静态膝关节对齐测量。还进行了地面步态分析。使用相关系数来评估静态变量和动态变量与膝关节内收力矩的关系。然后使用静态测量、动态测量以及静态和动态测量一起进行分层回归分析。在静态测量中，胫骨机械轴和膝关节内侧线之间的距离与膝关节内收力矩相关。最好的静态预测模型(R2=0.53)仅包括胫骨机械轴。在动力学变量中，膝关节内收角和后足外翻角度与膝关节内收力矩相关。膝关节内收和后足外翻是最好的动力学模型(R2=0.53)。静态测量和动态测量共同创建了三个模型中最强的(R2=0.59)。这些结果表明，在解释膝关节内收力矩的变化时，动态测量略微增强了静态测量的预测能力。
Individuals with medial knee osteoarthritis often present with varus knee alignment and ambulate with increased knee adduction moments. Understanding the factors that relate to the knee adduction moment in healthy individuals may provide insight into the development of this disease. Thus, this study aimed to examine the relationships of both static and dynamic lower extremity measures with the knee adduction moment. We hypothesized that the dynamic measures would be more closely related to this moment. Arch height index, hip abduction strength and two static measures of knee alignment were recorded for 37 young asymptomatic knees that varied from normal to varus-aligned. Overground gait analyses were also performed. Correlation coefficients were used to assess the relationships between the static and dynamic variables to the knee adduction moment. Hierarchical regression analyses were then conducted using the static measures, the dynamic measures, and the static and dynamic measures together. Among the static measures, the tibial mechanical axis and the distance between the medial knee joint lines were correlated with the knee adduction moment. The best predictive static model (R2 = 0.53) included only the tibial mechanical axis. Among the dynamic variables, knee adduction and rearfoot eversion angles were correlated with the knee adduction moment. Knee adduction and rearfoot eversion, together, were the best dynamic model (R2=0.53). The static and dynamic measures together created the strongest of the three models (R2 = 0.59). These results suggest that dynamic measures slightly enhance the predictive strength of static measures when explaining variation in the knee adduction moment.
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影响因子：
5.5
作者：
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通讯作者：
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10.1016/s0003-9993(97)90005-8
发表时间：
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影响因子：
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作者：
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通讯作者：
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作者：
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