Potential of Kinect-assessed stepping test for assessing fall risk in community-dwelling older women

Nobuo Takeshima , Eiji Fujita , Takeshi Kohama , Yosuke Osuka , Narumi Kojima , Masanobu Kusunoki , William F. Brechue , Hiroyuki Sasai
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Abstract

Background

Previously, we have shown that movement path distance and displacement during a 20-sec stepping test (ST) discriminates between independent and dependent-living older adults. The present study aims to determine whether movement and displacement characteristics during ST are an indicator of risk of falling in independent-living, community-dwelling older women

Methods

Independent-living older women recruited for this cross-sectional study were divided into a fall (F: n = 154) or no fall (NF: n = 847) history group. Each participant completed one trial of an eyes open, ST. ST outcome measures included head total movement distance (TMD), maximum movement displacement of the head (MMD), total knee movement distance (KMD), maximum height of the left and right knees (MKH), and step number (STEP) as determined with a KINECTTM infrared depth sensor. Ratio of KMD/TMD was calculated to index upper- body sway relative to the lower-body.

Results

Age, height, body mass, and BMI were not different between groups. KMD (F: median: 4.812 m, interquartile range (IQR): 3.720–7.718 m; NF: 5.309 m, 4.266–6.600 m), TMD / KMD (F: 0.145 m, 0.107–0.196 m; NF: 0.127 m, 0.100–0.170 m) and MKH (F: 0.073 m, 0.052–0.106 m, NF: 0.091 m, 0.060–0.135 m) were different between F and NF (Mann-Whitney, P < 0.05). Logistic regression revealed an association between falls and KMD (OR 1.232, 95 % CI 1.108–1.370).

Conclusions

Characteristics of ST movement and displacement assessed with KinectTM provide useful indicators for fall risk assessment among independent-living, community-dwelling older women.

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Kinect 评估步态测试在评估社区居住的老年妇女跌倒风险方面的潜力
背景我们以前的研究表明,20 秒迈步测试(ST)中的移动路径距离和位移可区分独立生活的老年人和依赖他人生活的老年人。本研究旨在确定在 ST 过程中的运动和位移特征是否是独立生活、居住在社区的老年妇女跌倒风险的指标。方法这项横断面研究将招募的独立生活老年妇女分为有跌倒史组(F:n = 154)和无跌倒史组(NF:n = 847)。每位参与者完成一次睁眼 ST 试验。ST 结果测量包括头部总移动距离 (TMD)、头部最大移动位移 (MMD)、膝关节总移动距离 (KMD)、左右膝关节最大高度 (MKH) 以及通过 KINECTTM 红外线深度传感器测定的步数 (STEP)。计算 KMD/TMD 的比率,以反映上半身相对于下半身的摇摆。KMD(女:中位数:4.812米,四分位数间距(IQR):3.720-7.718米;NF:5.309米,4.266-6.600米)、TMD/KMD(F:0.145米,0.107-0.196米;NF:0.127米,0.100-0.170 m)和 MKH(F:0.073 m,0.052-0.106 m;NF:0.091 m,0.060-0.135 m)在 F 和 NF 之间存在差异(Mann-Whitney,P <0.05)。逻辑回归显示跌倒与 KMD 之间存在关联(OR 1.232,95 % CI 1.108-1.370)。结论使用 KinectTM 评估的 ST 运动和位移特征为独立生活、居住在社区的老年妇女的跌倒风险评估提供了有用的指标。
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