Department of Geriatric Research, AGAPLESION Bethanien-Hospital/Geriatric Center at the University of Heidelberg, Germany.
Physiol Meas. 2012 Nov;33(11):1931-46. doi: 10.1088/0967-3334/33/11/1931. Epub 2012 Oct 31.
A majority of geriatric patients experience difficulty in performing sit-to-stand (SiSt) transitions. A detailed assessment of SiSt ability is a prerequisite for successful rehabilitation. Body fixed sensors (BFSs) are increasingly used to assess functional performances. As to date there is no system which analyzes clinically relevant phases of SiSt, the aim of this study was to determine the reliability of an automated approach for quantifying durations and angular velocities of trunk flexion and extension during repeated SiSt transitions using one BFS (DynaPort® Hybrid). Forty multimorbid geriatric patients aged 84.1 ± 6.6 years were included. Each patient participated in two test sessions with a 5 min rest period in between. Intra- and interrater reliability was assessed. Intraclass correlation coefficients (ICCs), absolute and relative standard measurement errors (SEMs, SEMs%) and minimal detectable changes (MDCs(95), MDCs(95)%) were calculated. ICCs were good to excellent for all variables in the total sample (0.80-0.94). The intraobserver group (50%) showed a higher number of excellent ICCs (≥.9) compared to the interobserver subgroup (10%). SEM% was low for all variables (6.9-12.7%). MDC(95)% ranged 19.2-34.4% and more variables ≤30% were found in the intra- (80%) compared to the inter-observer group (60%). Study results demonstrate that the BFS system provides a reliable analysis of SiSt phases in geriatric patients, and is a substantial improvement over the stopwatch approach used in clinical practice today.
大多数老年患者在进行坐站（SiSt）转换时都有困难。对 SiSt 能力进行详细评估是成功康复的前提。身体固定传感器（BFS）越来越多地用于评估功能表现。到目前为止，还没有系统可以分析 SiSt 的临床相关阶段，因此本研究的目的是确定使用一个 BFS（DynaPort® Hybrid）自动分析重复 SiSt 转换过程中躯干屈伸的持续时间和角速度的可靠性。共纳入 40 名患有多种疾病的老年患者，年龄 84.1±6.6 岁。每位患者参加了两次测试，两次测试之间有 5 分钟的休息时间。评估了组内和组间的可靠性。计算了组内相关系数（ICCs）、绝对和相对标准测量误差（SEMs、SEMs%）和最小可检测变化（MDC95%、MDC95%）。在总样本中，所有变量的 ICC 均为良好至优秀（0.80-0.94）。与观察者间亚组（10%）相比，观察者内组（50%）具有更多优秀 ICC（≥.9）。所有变量的 SEM%均较低（6.9-12.7%）。MDC95%的范围为 19.2-34.4%，并且在观察者内组（80%）中发现更多变量≤30%，而在观察者间组（60%）中发现更多变量≤30%。研究结果表明，BFS 系统可可靠地分析老年患者的 SiSt 阶段，并且比当今临床实践中使用的秒表方法有实质性的改进。
