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基于智能手机的 2 型糖尿病患者静态平衡和动态移动能力评估。

Smartphone-based evaluation of static balance and mobility in type 2 Diabetes.

机构信息

Universidade Federal do Amapá, Rodovia Josmar Chaves Pinto, km 02, Jardim Marco Zero, 68903-419 Macapá, AP, Brazil.

Universidade Federal do Pará, Instituto de Ciências Exatas e da Natureza, Rua Augusto Corrêa, 01, Guamá, 66075-110 Belém, PA, Brazil.

出版信息

An Acad Bras Cienc. 2024 Jul 29;96(suppl 1):e20231244. doi: 10.1590/0001-3765202420231244. eCollection 2024.

DOI:10.1590/0001-3765202420231244
PMID:39082591
Abstract

It was compared smartphone-based measurements of static balance control and mobility of elderly population with and without type 2 diabetes mellitus (DM2). The present cross-sectional study investigated 73 participants grouped in a control group (n = 36) and a DM2 group (n = 37). Smartphone's built in inertial sensors were used to record inertial changes of the participants during static balance and mobility (Timed Up and Go test - TUG) tasks. The inertial variations as a function of the time were analyzed and compared between groups. Both groups were matched in age, body mass index, male-female proportion, but DM2 group had significant larger fasting glucose than control group. Additionally, DM2 group had worst static balance control with open and closed eyes than the controls (p < 0.05) as well as they also had longer duration to execute the different events of the mobility test than the controls (p < 0.05). DM2 patients had decline of motor functions compared to controls and the use of bult-in sensors of smartphones was feasible to identify these functional impairments. The easy access of smartphones could be improving the screening of functional impairments in DM2 patients.

摘要

本研究比较了智能手机在测量伴有和不伴有 2 型糖尿病(DM2)的老年人群的静态平衡控制和移动能力方面的应用。本横断面研究调查了 73 名参与者,分为对照组(n = 36)和 DM2 组(n = 37)。智能手机内置的惯性传感器用于记录参与者在静态平衡和移动(计时起立行走测试-TUG)任务期间的惯性变化。分析了惯性变化随时间的变化,并在组间进行了比较。两组在年龄、体重指数、男女比例方面相匹配,但 DM2 组的空腹血糖明显高于对照组。此外,DM2 组的睁眼和闭眼静态平衡控制明显差于对照组(p < 0.05),并且执行移动测试的不同事件的时间也长于对照组(p < 0.05)。与对照组相比,DM2 患者的运动功能下降,而智能手机内置传感器的使用可以识别这些功能障碍。智能手机的便捷访问可以改善 DM2 患者的功能障碍筛查。

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