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

IF 2.1 Q3 GERIATRICS & GERONTOLOGY
Lorenzo Brognara
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引用次数: 0

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.

使用智能手机应用程序对老年人进行步态评估:范围综述
步速和步长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后果。智能手机可用于步态分析,提供时空参数,有助于改善体弱者的诊断和康复过程。本研究旨在回顾过去 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。本系统综述按照《系统综述与元分析首选报告项目》(PRISMA)进行,通过检索七个电子数据库确定了原始文章:通过检索以下七个电子数据库确定了原始文章:SciVerse (ScienceDirect)、Excerpta Medica Database (EMBASE)、Medline、Scopus、PubMed、Web of Science 和 Cochrane Library。根据智能手机和移动应用程序、老年人和时空步态参数等纳入标准对研究进行了严格筛选,并对结果进行了叙述性综合。在搜索有关该主题的科学文献时,初步确定了 73 篇文章。本综述选取了 11 篇文章。对这些研究的分析涵盖了使用移动应用程序对 723 名老年人和 164 名对照病例进行步态评估的相关信息。对应用智能手机评估老年人步态时空参数的相关数据进行分析后发现,步态速度(最常见的参数)的测试-重复测试可靠性和有效性(ICCs 约为 0.9)达到了中等至优秀水平。此外,与金标准系统相比,使用移动应用程序记录的步速显示出极佳的一致性。智能手机和移动应用程序是实用、无创、低成本和客观的工具,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可以可靠地识别与不良后果相关的时空参数,如缓慢的步态速度,作为涉及老年人的临床实践和研究的预测因子和结果。
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来源期刊
Geriatrics
Geriatrics 医学-老年医学
CiteScore
3.30
自引率
0.00%
发文量
115
审稿时长
20.03 days
期刊介绍: • Geriatric biology • Geriatric health services research • Geriatric medicine research • Geriatric neurology, stroke, cognition and oncology • Geriatric surgery • Geriatric physical functioning, physical health and activity • Geriatric psychiatry and psychology • Geriatric nutrition • Geriatric epidemiology • Geriatric rehabilitation
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