Department of Life Science and Biotechnology, Health and Medical Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), 2217-14 Hayashi-cho, Takamatsu, Kagawa, 761-0395, Japan.
Human Augmentation Research Center, National Institute of Advanced Industrial Science and Technology (AIST), Kashiwa II Campus, University of Tokyo, 6-2-3 Kashiwanoha, Kashiwa, Chiba, 277-0882, Japan.
Sci Rep. 2022 Jan 31;12(1):1676. doi: 10.1038/s41598-022-04801-2.
Frailty is associated with gait variability in several quantitative parameters, including high stride time variability. However, the associations between joint kinematics during walking and increased gait variability with frailty remain unclear. In the current study, principal component analysis was used to identify the key joint kinematics characteristics of gait related to frailty. We analyzed whole kinematic waveforms during the entire gait cycle obtained from the pelvis and lower limb joint angle in 30 older women (frail/prefrail: 15 participants; non-frail: 15 participants). Principal component analysis was conducted using a 60 × 1224 input matrix constructed from participants' time-normalized pelvic and lower-limb-joint angles along three axes (each leg of 30 participants, 51 time points, four angles, three axes, and two variables). Statistical analyses revealed that only principal component vectors 6 and 9 were related to frailty. Recombining the joint kinematics corresponding to these principal component vectors revealed that frail older women tended to exhibit greater variability of knee- and ankle-joint angles in the sagittal plane while walking compared with non-frail older women. We concluded that greater variability of knee- and ankle-joint angles in the sagittal plane are joint kinematic characteristics of gait related to frailty.
虚弱与几种定量参数的步态变化有关，包括高步时变异性。然而，与虚弱相关的关节运动学与步态变异性增加之间的关联仍不清楚。在目前的研究中，主成分分析用于确定与虚弱相关的步态的关键关节运动学特征。我们分析了 30 名老年女性（虚弱/衰弱前期：15 名参与者；非虚弱：15 名参与者）在整个步态周期中从骨盆和下肢关节角度获得的整个运动学波形。使用从参与者的时间归一化骨盆和下肢关节角度沿三个轴（30 名参与者的每条腿，51 个时间点，4 个角度，3 个轴和 2 个变量）构建的 60×1224 输入矩阵对主成分分析进行了分析。统计分析表明，只有主成分向量 6 和 9 与虚弱有关。重新组合与这些主成分向量相对应的关节运动学表明，与非虚弱的老年女性相比，虚弱的老年女性在行走时往往表现出更大的膝关节和踝关节矢状面角度的变异性。我们得出结论，膝关节和踝关节矢状面角度的更大变异性是与虚弱相关的步态的关节运动学特征。
