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智能手机应用程序CareCoaching获取的步幅时间和步行速度在独立生活的社区老年人中的同时效度。

Concurrent validity of the step time and walking speed obtained from the smartphone application CareCoaching in independent, community-dwelling older adults.

作者信息

Oshima Kensuke, Asai Tsuyoshi, Esaki Hisumi, Kameyama Satoru, Yamamoto Junshiro

机构信息

Faculty of Rehabilitation, Kobe Gakuin University Graduate School: 518 Arise, Ikawadani-cho, Nishi-ku, Kobe, Hyogo 651-2180, Japan.

EveRehab, Inc., Japan.

出版信息

J Phys Ther Sci. 2021 Sep;33(9):621-626. doi: 10.1589/jpts.33.621. Epub 2021 Sep 1.

DOI:10.1589/jpts.33.621
PMID:34539063
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8436046/
Abstract

[Purpose] In this study, we verified the validity of the step time and walking speed obtained from the smartphone gait analysis application CareCoaching. [Participants and Methods] The participants were 66 independent, community-dwelling adults aged 65 years or older who performed a 10-m walking test twice each under preferred- and slow-speed conditions. We concurrently measured gait motions using CareCoaching and the OptoGait system for reference data. Both systems compute walking speed and step time as gait parameters. We examined the concurrent validity of these parameters by using intra-class correlation coefficients (ICCs) and limits of agreement (LOAs) with Bland-Altman analyses. [Results] In the preferred walking speed condition, the ICCs of walking speed and step times between the CareCoaching and the OptoGait system were 0.67 and 0.93, respectively. In the slow walking speed condition, the ICCs for walking speed and step time were 0.78 and 0.97, respectively. In addition, the LOAs for step time were -0.0941 to 0.1160 for preferred walking speed and -0.0596 to 0.0883 for slow walking speed. The LOAs for walking speed were -0.4158 to 0.0568 for preferred walking speed and -0.3348 to 0.0523 for slow walking speed. [Conclusion] CareCoaching showed excellent agreement for step time and moderate-to-good agreement for walking speed in independent, community-dwelling older adults.

摘要

[目的] 在本研究中,我们验证了从智能手机步态分析应用程序CareCoaching获得的步时和步行速度的有效性。[参与者与方法] 参与者为66名65岁及以上独立居住在社区的成年人,他们在偏好速度和慢速条件下各进行两次10米步行测试。我们同时使用CareCoaching和OptoGait系统测量步态运动以获取参考数据。两个系统均将步行速度和步时计算为步态参数。我们通过组内相关系数(ICC)以及Bland-Altman分析的一致性界限(LOA)来检验这些参数的同时效度。[结果] 在偏好步行速度条件下,CareCoaching与OptoGait系统之间步行速度和步时的ICC分别为0.67和0.93。在慢速步行速度条件下,步行速度和步时的ICC分别为0.78和0.97。此外,偏好步行速度下步时的LOA为-0.0941至0.1160,慢速步行速度下步时的LOA为-0.0596至0.0883。偏好步行速度下步行速度的LOA为-0.4158至0.0568,慢速步行速度下步行速度的LOA为-0.3348至0.0523。[结论] 在独立居住在社区中的老年人中,CareCoaching在步时方面显示出极佳的一致性,在步行速度方面显示出中等至良好程度的一致性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0b1/8436046/b1bd88762763/jpts-33-621-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0b1/8436046/786a3ba91f77/jpts-33-621-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0b1/8436046/b1bd88762763/jpts-33-621-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0b1/8436046/786a3ba91f77/jpts-33-621-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0b1/8436046/b1bd88762763/jpts-33-621-g002.jpg

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