Carswell Hunter, Schinkel-Ivy Alison
School of Physical & Health Education, Nipissing University, 100 College Drive, Box 5002, North Bay, Ontario P1B 8L7, Canada.
School of Physical & Health Education, Nipissing University, 100 College Drive, Box 5002, North Bay, Ontario P1B 8L7, Canada.
Gait Posture. 2025 Mar;117:24-30. doi: 10.1016/j.gaitpost.2024.11.016. Epub 2024 Dec 10.
Spatiotemporal and kinematic variables during gait undergo characteristic changes with aging. However, the relationships between these domains, and how these change with aging, have not been extensively investigated.
How does age affect relationships between spatiotemporal and joint/segment range-of-motion variables during treadmill gait?
In this cross-sectional study, a motion capture system tracked 60 participants (20-80 years old), walking at self-selected and slow speeds on a treadmill. Spatiotemporal (step length, width, time, velocity) and range-of-motion (ankle, knee, hip, pelvis, trunk) variables were extracted from 50 steps at each speed. Mixed-effects models were used to quantify relationships between spatiotemporal variables and age, range-of-motion, and interactions between age and range-of-motion.
Significant relationships with range-of-motion were found for some spatiotemporal variables; the direction of the relationship was most often positive, with several negative relationships. Significant interaction effects were observed for several pairings (ankle range-of-motion - step length, ankle range-of-motion - step velocity, hip range-of-motion - step velocity), with stronger relationships between spatiotemporal and range-of-motion variables as age increased.
Stronger relationships at both the ankle and hip in older adults may suggest that older adults rely more on motion at these joints, and constrain other degrees-of-freedom, in an attempt to maintain gait velocity for successful task execution and/or safety on the treadmill. This study statistically quantifies the effects of age on the relationships between spatiotemporal and kinematic domains while accounting for stride-to-stride variations during gait, which provides insight into the control of spatiotemporal variables in healthy individuals across adulthood, and may inform strategies for identifying gait dysfunction with aging.
步态过程中的时空和运动学变量会随着衰老发生特征性变化。然而,这些领域之间的关系以及它们如何随衰老而变化,尚未得到广泛研究。
年龄如何影响跑步机步态期间时空变量与关节/节段运动范围变量之间的关系?
在这项横断面研究中,一个运动捕捉系统跟踪了60名参与者(年龄在20至80岁之间),他们在跑步机上以自选速度和慢速行走。从每种速度下的50步中提取时空变量(步长、步宽、时间、速度)和运动范围变量(踝关节、膝关节、髋关节、骨盆、躯干)。使用混合效应模型来量化时空变量与年龄、运动范围以及年龄与运动范围之间的相互作用之间的关系。
发现一些时空变量与运动范围存在显著关系;关系方向大多为正,也有一些为负。观察到几对变量存在显著的交互作用(踝关节运动范围-步长、踝关节运动范围-步速、髋关节运动范围-步速),随着年龄的增加,时空变量与运动范围变量之间的关系更强。
老年人踝关节和髋关节处更强的关系可能表明,老年人更多地依赖这些关节的运动,并限制其他自由度,以试图在跑步机上保持步态速度以成功完成任务和/或确保安全。本研究在考虑步态期间步间变化的同时,从统计学上量化了年龄对时空和运动学领域之间关系的影响,这为了解成年期健康个体的时空变量控制提供了见解,并可能为识别衰老过程中的步态功能障碍提供策略依据。