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Comparison of Standard Clinical and Instrumented Physical Performance Tests in Discriminating Functional Status of High-Functioning People Aged 61–70 Years Old

机译:标准临床和仪器物理性能测试的比较,辨别61-70岁的高功能性能函数状况

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摘要

Assessment of physical performance by standard clinical tests such as the 30-sec Chair Stand (30CST) and the Timed Up and Go (TUG) may allow early detection of functional decline, even in high-functioning populations, and facilitate preventive interventions. Inertial sensors are emerging to obtain instrumented measures that can provide subtle details regarding the quality of the movement while performing such tests. We compared standard clinical with instrumented measures of physical performance in their ability to distinguish between high and very high functional status, stratified by the Late-Life Function and Disability Instrument (LLFDI). We assessed 160 participants from the PreventIT study (66.3 ± 2.4 years, 87 females, median LLFDI 72.31, range: 44.33–100) performing the 30CST and TUG while a smartphone was attached to their lower back. The number of 30CST repetitions and the stopwatch-based TUG duration were recorded. Instrumented features were computed from the smartphone embedded inertial sensors. Four logistic regression models were fitted and the Areas Under the Receiver Operating Curve (AUC) were calculated and compared using the DeLong test. Standard clinical and instrumented measures of 30CST both showed equal moderate discriminative ability of 0.68 (95%CI 0.60–0.76), p = 0.97. Similarly, for TUG: AUC was 0.68 (95%CI 0.60–0.77) and 0.65 (95%CI 0.56–0.73), respectively, p = 0.26. In conclusion, both clinical and instrumented measures, recorded through a smartphone, can discriminate early functional decline in healthy adults aged 61–70 years.
机译:通过标准临床测试评估物理性能,如30-SEC椅架(30cst)和定时和转移(拖船)可以允许早期发现功能下降,即使在高功能群体中,也可以促进预防性干预措施。惯性传感器正在出现以获得仪器测量,可以在执行这种测试时提供关于运动质量的微妙细节。我们将标准的临床与仪表的物理性能措施进行比较,以便区分高寿命功能和残疾仪器(LLFDI)分层的高和非常高的功能状态。我们评估了来自预防研究的160名参与者(66.3±2.4岁,女性,中位数LLFDI 72.31,范围:44.33-100)执行30cst和拖船,而智能手机连接到其腰部。记录30CST重复的数量和基于秒表的Tug持续时间。从智能手机嵌入式惯性传感器计算了仪器特征。安装了四种逻辑回归模型,并计算了使用Delong测试的接收器操作曲线(AUC)下的区域。标准临床和仪器仪器30cst均显示出同等中等鉴别能力0.68(95%CI 0.60-0.76),P = 0.97。类似地,对于拖轮:AUC分别为0.68(95%CI 0.60-0.77)和0.65(95%CI 0.56-0.73),P = 0.26。总之,通过智能手机记录的临床和仪表措施都可以歧视61-70岁的健康成年人的早期功能下降。

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