Human Movement Performance Enhancement Research Unit, Department of Physical Therapy, Faculty of Allied Health Sciences Chulalongkorn University, Thailand.
Human Movement Performance Enhancement Research Unit, Department of Physical Therapy, Faculty of Allied Health Sciences Chulalongkorn University, Thailand.
Gait Posture. 2023 Jul;104:103-108. doi: 10.1016/j.gaitpost.2023.06.016. Epub 2023 Jun 22.
Postural instability is a risk factor for falls in older adults. It is possible to detect postural stability using an integrated accelerometer (ACC) sensor in a smartphone. Therefore, a novel ACC-based smartphone application running on the Android operating system called BalanceLab was created and tested.
This study aimed to determine the validity and reliability of a novel ACC-based Android smartphone application for assessing balance in older adults.
Using BalanceLab, 20 older adults completed three balance assessments: the Modified Clinical Test of Sensory Interaction in Balance (MCTSIB), a single-leg stance test (SLST), and a limit of stability test (LOS). The validity of this mobile application was investigated using a three-dimensional (3D) motion analysis system and the Fullerton Advanced Balance (FAB) scale. The test-retest reliability of this mobile application was determined on two separate occasions within one day, at least two hours apart.
The two static balance assessments (the MCTSIB and SLST) demonstrated moderate to excellent correlation with the 3D motion analysis system (r = 0.70-0.91) and the FAB scale (r = 0.67-0.80). However, the majority of the dynamic balance tests (the LOS tests) did not demonstrate any correlation with the 3D motion analysis system or the FAB scale. This novel ACC-based application demonstrated good to excellent test-retest reliability (ICC = 0.76-0.91).
A static, but not dynamic, balance assessment tool that uses a novel ACC-based application for Android can be used to measure balance in older adults. This application has moderate to excellent validity and test-retest reliability.
姿势不稳是老年人跌倒的一个危险因素。使用智能手机中的集成加速度计（ACC）传感器可以检测到姿势稳定性。因此，开发并测试了一种运行在 Android 操作系统上的新型基于 ACC 的智能手机应用程序，称为 BalanceLab。
本研究旨在确定一种新型基于 ACC 的 Android 智能手机应用程序评估老年人平衡能力的有效性和可靠性。
使用 BalanceLab，20 名老年人完成了三项平衡评估：改良临床平衡感觉测试（MCTSIB）、单腿站立测试（SLST）和稳定性极限测试（LOS）。该移动应用程序的有效性使用三维（3D）运动分析系统和富尔顿高级平衡（FAB）量表进行了研究。该移动应用程序的测试-重测可靠性在一天内至少相隔两小时的两个不同时间点进行了确定。
两项静态平衡评估（MCTSIB 和 SLST）与 3D 运动分析系统（r = 0.70-0.91）和 FAB 量表（r = 0.67-0.80）之间显示出中度至高度相关性。然而，大多数动态平衡测试（LOS 测试）与 3D 运动分析系统或 FAB 量表均无相关性。这种新型基于 ACC 的应用程序表现出良好至优秀的测试-重测可靠性（ICC = 0.76-0.91）。
一种使用新型基于 ACC 的 Android 应用程序的静态而非动态平衡评估工具可用于测量老年人的平衡能力。该应用程序具有中度至高度的有效性和测试-重测可靠性。
