Department of Rehabilitation Medicine, Seoul National University College of Medicine, Seoul, South Korea; Institute on Aging, Seoul National University, Seoul, South Korea.
Department of Rehabilitation Medicine, Seoul Metropolitan Government Boramae Medical Center, Seoul, South Korea.
Gait Posture. 2024 Jan;107:212-217. doi: 10.1016/j.gaitpost.2023.10.006. Epub 2023 Oct 5.
Gait assessment has been used in a wide range of clinical applications, and gait velocity is also a leading predictor of disease and physical functional aspects in older adults.
The study aim to examine the changes in IMU-based gait parameters according to age in healthy adults aged 50 and older, to analyze differences between aging patients.
A total of 296 healthy adults (65.32 ± 6.74 yrs; 83.10 % female) were recruited. Gait assessment was performed using an IMU sensor-based gait analysis system, and 3D motion information of hip and knee joints was obtained using magnetic sensors. The basic characteristics of the study sample were stratified by age category, and the baseline characteristics between the groups were compared using analysis of variance (ANOVA). Pearson's correlation analysis was used to analyze the relationship between age as the dependent variable and several measures of gait parameters and joint angles as independent variables.
The results of this study found that there were significant differences in gait velocity and both terminal double support in the three groups according to age, and statistically significant differences in the three groups in hip joint angle and knee joints angle. In addition, it was found that the gait velocity and knee/hip joint angle changed with age, and the gait velocity and knee/hip joint angle were also different in the elderly and adult groups.
We found changes in gait parameters and joint angles according to age in healthy adults and older adults and confirmed the difference in gait velocity and joint angles between adults and older adults.
步态评估已广泛应用于临床实践，步态速度也是老年人疾病和身体功能方面的主要预测指标。
本研究旨在探讨健康 50 岁及以上成年人中基于惯性测量单元（IMU）的步态参数随年龄的变化，分析不同年龄段患者之间的差异。
共纳入 296 名健康成年人（65.32±6.74 岁；83.10%为女性）。采用基于 IMU 的步态分析系统进行步态评估，使用磁传感器获取髋关节和膝关节的 3D 运动信息。根据年龄类别对研究样本的基本特征进行分层，并使用方差分析（ANOVA）比较组间的基线特征。采用 Pearson 相关分析来分析年龄作为因变量与步态参数和关节角度等几个测量值作为自变量之间的关系。
本研究结果发现，根据年龄的不同，三组人群在步态速度和两个终端双支撑方面存在显著差异，且三组人群在髋关节角度和膝关节角度方面存在统计学差异。此外，还发现步态速度和膝关节/髋关节角度随年龄而变化，且老年人组和成年人组的步态速度和膝关节/髋关节角度存在差异。
我们发现健康成年人和老年人的步态参数和关节角度随年龄发生变化，并证实了成年人和老年人之间步态速度和关节角度的差异。
