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老年人使用智能手机应用程序进行步态评估:一项范围综述

Gait Assessment Using Smartphone Applications in Older Adults: A Scoping Review.

作者信息

Brognara Lorenzo

机构信息

Department of Biomedical and Neuromotor Sciences (DIBINEM), University of Bologna, 40123 Bologna, Italy.

出版信息

Geriatrics (Basel). 2024 Jul 18;9(4):95. doi: 10.3390/geriatrics9040095.

Abstract

Spatiotemporal parameters such as gait velocity and stride length are simple indicators of functional status and can be used to predict major adverse outcomes in older adults. A smartphone can be used for gait analysis by providing spatiotemporal parameters useful for improving the diagnosis and rehabilitation processes in frail people. The aim of this study was to review articles published in the last 20 years (from 2004 to 2024) concerning the application of smartphones to assess the spatiotemporal parameters of gait in older adults. This systematic review was performed in line with Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA), and original articles were identified by searching seven electronic databases: SciVerse (ScienceDirect), Excerpta Medica Database (EMBASE), Medline, Scopus, PubMed, Web of Science and the Cochrane Library. Studies were rigorously screened using the inclusion criteria of smartphones and mobile apps, older adults and spatiotemporal gait parameters, and results were narratively synthesized. Seventy-three articles were initially identified while searching the scientific literature regarding this topic. Eleven articles were selected and included in this review. Analysis of these studies covered information about gait assessment using mobile apps recorded in 723 older adults and 164 control cases. Analysis of data related to the application of smartphones to assess spatiotemporal parameters of gait in older adults showed moderate-to-excellent test-retest reliability and validity (ICCs around 0.9) of gait speed, the most common parameter reported. Additionally, gait speeds recorded with mobile apps showed excellent agreement when compared to gold standard systems. Smartphones and mobile apps are useful, non-invasive, low-cost and objective tools that are being extensively used to perform gait analysis in older adults. Smartphones and mobile apps can reliably identify spatiotemporal parameters related to adverse outcomes, such as a slow gait speed, as predictors and outcomes in clinical practice and research involving older adults.

摘要

诸如步速和步幅长度等时空参数是功能状态的简单指标,可用于预测老年人的主要不良结局。智能手机可通过提供有助于改善体弱人群诊断和康复过程的时空参数来用于步态分析。本研究的目的是回顾过去20年(2004年至2024年)发表的有关应用智能手机评估老年人步态时空参数的文章。本系统评价按照系统评价和Meta分析的首选报告项目(PRISMA)进行,通过检索七个电子数据库来识别原始文章:SciVerse(ScienceDirect)、医学文摘数据库(EMBASE)、Medline、Scopus、PubMed、科学引文索引和考科蓝图书馆。使用智能手机和移动应用程序、老年人以及时空步态参数的纳入标准对研究进行严格筛选,并对结果进行叙述性综合。在搜索有关该主题的科学文献时,最初识别出73篇文章。选择了11篇文章纳入本综述。对这些研究的分析涵盖了723名老年人和164名对照病例中使用移动应用程序记录的步态评估信息。对智能手机应用于评估老年人步态时空参数的数据进行分析表明,步态速度(报告的最常见参数)具有中等到极好的重测信度和效度(组内相关系数约为0.9)。此外,与金标准系统相比,移动应用程序记录的步态速度显示出极好的一致性。智能手机和移动应用程序是有用的、非侵入性的、低成本的和客观的工具,正被广泛用于对老年人进行步态分析。智能手机和移动应用程序能够可靠地识别与不良结局相关的时空参数,例如步态速度缓慢,作为临床实践和涉及老年人的研究中的预测指标和结局。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b1b6/11270307/dfe079234a49/geriatrics-09-00095-g001.jpg

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