Gao Xing, Wang Li, Shen Fei, Ma Yingnan, Fan Yubo, Niu Haijun
Beijing Advanced Innovation Centre for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, 100191, China; Beijing Research Center of Urban System Engineering, Beijing, 100035, China.
Beijing Advanced Innovation Centre for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, 100191, China.
Gait Posture. 2019 Feb;68:168-173. doi: 10.1016/j.gaitpost.2018.11.027. Epub 2018 Nov 20.
Falls are one of the major causes of injury in the elderly. Obesity may be related to the risk of falling. Understanding the dynamic stability mechanisms of obese elderly people during gait is important as it may be associated with fall protection.
Does obesity affect the dynamic walking stability of elderly people?
This is a prospective study. Fifty-three elderly participants, aged 60-82 years, were categorized into body mass index (BMI) groups. In single-limb support experiments, the center of mass velocity (COMv), center of mass acceleration (COMa), region of velocity stability (ROSv) and region of acceleration stability (ROSa) were calculated using kinematic data sampled from a motion analysis system. In addition, all participants were assessed for the dynamic balance ability test scale (DBATS). Statistical analyses were performed by one-way ANOVA, Kruskal-Wallis/Wilcoxon nonparametric tests, or bivariate Pearson/Spearman correlation analysis.
During walking, peak COMv and COMa decreased with increasing BMI (Normal BMI: 1.20 ± 0.14 m/s, 1.66 ± 0.36 m/s; High BMI: 1.14 ± 0.11 m/s, 1.56 ± 0.30 m/s; Higher BMI: 1.04 ± 0.15 m/s, 1.47 ± 0.25 m/s). At toe-off (TO), the normalized participants' center of mass (COM) is significantly more anterior in the Higher BMI group (Normal BMI: -0.30 ± 0.09, High BMI: -0.23 ± 0.07, Higher BMI: -0.16 ± 0.10), their normalized COMv and COMa (Normal BMI: 1.40 ± 0.16, 0.53 ± 0.11; High BMI: 1.33 ± 0.13, 0.49 ± 0.11; Higher BMI: 1.21 ± 0.16, 0.46 ± 0.11) are slower. The mean DBATS score of the Higher BMI group was the highest, indicating the weakest dynamic balance ability.
The COM dynamic stability parameters indicate that obesity may worsen balance, with the peak COMv and ROSv most affected. With increasing BMI, the dynamic stability and balance of elderly people both decreased.
跌倒为老年人受伤的主要原因之一。肥胖可能与跌倒风险相关。了解肥胖老年人在步态中的动态稳定机制很重要,因为这可能与预防跌倒有关。
肥胖是否会影响老年人的动态行走稳定性?
这是一项前瞻性研究。53名年龄在60 - 82岁的老年参与者被分为体重指数(BMI)组。在单腿支撑实验中,使用从运动分析系统采样的运动学数据计算质心速度(COMv)、质心加速度(COMa)、速度稳定区域(ROSv)和加速度稳定区域(ROSa)。此外,对所有参与者进行动态平衡能力测试量表(DBATS)评估。采用单因素方差分析、Kruskal - Wallis/Wilcoxon非参数检验或双变量Pearson/Spearman相关分析进行统计分析。
在行走过程中,COMv和COMa峰值随BMI增加而降低(正常BMI:1.20±0.14 m/s,1.66±0.36 m/s;高BMI:1.14±0.11 m/s,1.56±0.30 m/s;更高BMI:1.04±0.15 m/s,1.47±0.25 m/s)。在蹬离(TO)时,更高BMI组参与者的归一化质心(COM)明显更靠前(正常BMI:-0.30±0.09,高BMI:-0.23±0.07,更高BMI:-0.16±0.10),其归一化COMv和COMa(正常BMI:1.40±0.16,0.53±0.11;高BMI:1.33±0.13,0.49±0.11;更高BMI:1.21±0.16,0.46±0.11)较慢。更高BMI组的DBATS平均得分最高,表明其动态平衡能力最弱。
COM动态稳定性参数表明肥胖可能会使平衡恶化,其中COMv峰值和ROSv受影响最大。随着BMI增加,老年人的动态稳定性和平衡能力均下降。