Chiba Takeshi, Yamanaka Masanori, Samukawa Mina, Saito Hiroshi, Sabashi Kento, Tohyama Harukazu
Graduate School of Health Sciences, Hokkaido University, Japan.
Department of Rehabilitation Science, Faculty of Health Sciences, Hokkaido University, Japan.
J Phys Ther Sci. 2016 Aug;28(8):2199-203. doi: 10.1589/jpts.28.2199. Epub 2016 Aug 31.
[Purpose] The purpose of the present study was to investigate the relationship between the external knee adduction moment (KAM) during walking and the biomechanical characteristics of single-leg standing in healthy subjects. [Subjects and Methods] Twenty-eight healthy subjects were recruited for this study. Data were collected while the subjects performed walking and single-leg standing using a motion analysis system with six digital video cameras and two force plates. Pearson's correlation coefficient was used to quantify the relationship between peak KAM during walking and single-leg standing. To determine whether the kinematic behavior of the pelvis and trunk during single-leg standing are associated with peak KAM during walking, Pearson's correlation coefficients were calculated and stepwise linear regression was performed. [Results] The peak KAM during single-leg standing was significantly correlated with that during walking. The peak KAM during walking was significantly correlated with the peak lateral lean of the trunk and the peak lateral tilt of the pelvis during single-leg standing. The results of stepwise linear regression analysis show the peak KAM during walking was partially explained by the peak lateral lean of the trunk during single-leg standing. [Conclusion] Our findings suggest that single-leg standing might be a useful method for predicting the peak KAM during walking.
[目的]本研究旨在探讨健康受试者步行过程中外侧膝关节内收力矩（KAM）与单腿站立生物力学特征之间的关系。[对象与方法]本研究招募了28名健康受试者。使用具有六个数字摄像机和两个测力台的运动分析系统，在受试者进行步行和单腿站立时收集数据。采用Pearson相关系数来量化步行和单腿站立过程中KAM峰值之间的关系。为了确定单腿站立时骨盆和躯干的运动行为是否与步行过程中KAM峰值相关，计算了Pearson相关系数并进行了逐步线性回归分析。[结果]单腿站立时的KAM峰值与步行时的KAM峰值显著相关。步行时的KAM峰值与单腿站立时躯干的最大侧倾和骨盆的最大侧倾显著相关。逐步线性回归分析结果表明，步行时的KAM峰值部分可由单腿站立时躯干的最大侧倾来解释。[结论]我们研究结果表明，单腿站立可能是预测步行时KAM峰值的一种有用方法。
