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The Discriminant Value of Phase-Dependent Local Dynamic Stability of Daily Life Walking in Older Adult Community-Dwelling Fallers and Nonfallers

机译:在老年人社区居住的跌倒者和非跌倒者中日常生活的阶段性局部动态稳定性的判别价值

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摘要

The present study compares phase-dependent measures of local dynamic stability of daily life walking with 35 conventional gait features in their ability to discriminate between community-dwelling older fallers and nonfallers. The study reanalyzes 3D-acceleration data of 3-day daily life activity from 39 older people who reported less than 2 falls during one year and 31 who reported two or more falls. Phase-dependent local dynamic stability was defined for initial perturbation at 0%, 20%, 40%, 60%, and 80% of the step cycle. A partial least square discriminant analysis (PLS-DA) was used to compare the discriminant abilities of phase-dependent local dynamic stability with the discriminant abilities of 35 conventional gait features. The phase-dependent local dynamic stability λ at 0% and 60% of the step cycle discriminated well between fallers and nonfallers (AUC = 0.83) and was significantly larger (p < 0.01) for the nonfallers. Furthermore, phase-dependent λ discriminated as well between fallers and nonfallers as all other gait features combined. The present result suggests that phase-dependent measures of local dynamic stability of daily life walking might be of importance for further development in early fall risk screening tools.
机译:本研究比较了具有35种常规步态特征的步行局部动态稳定性的相依性测度,以区分社区居住的老年跌倒者和非跌倒者。这项研究重新分析了39位老年人的3天日常生活活动的3D加速度数据,这些人在一年内报告跌倒次数少于2次,而31名老年人报告两次跌倒次数更多。定义了相位相关的局部动态稳定性,用于在步骤周期的0%,20%,40%,60%和80%时进行初始扰动。使用偏最小二乘判别分析(PLS-DA)将相依局部动态稳定性的判别能力与35个常规步态特征的判别能力进行比较。步进循环的0%和60%时,相位相关的局部动态稳定性λ可以很好地区分跌落者和非跌落者(AUC = 0.83),而非跌落者则明显更大(p <0.01)。此外,由于所有其他步态特征的组合,在跌倒者和非跌倒者之间也区分了相位相关的λ。目前的结果表明,日常生活行走局部动态稳定性的阶段相关测量对于早期跌倒风险筛查工具的进一步开发可能具有重要意义。

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