McGrath Denise, Greene Barry R, Sheehan Katie, Walsh Lorcan, Kenny Rose A, Caulfield Brian
Technology Research for Independent Living (TRIL), University College Dublin, Dublin, Ireland,
Eur J Appl Physiol. 2015 Feb;115(2):437-49. doi: 10.1007/s00421-014-3034-3. Epub 2014 Oct 26.
The focus of this study was to monitor daily objective measures of standing postural control over an 8-week period, recorded in a person's home, in a population of healthy older adults. Establishing natural patterns of variation in the day-to-day signal, occurring in the relative absence of functional decline or disease, would enable us to determine thresholds for changes in postural control from baseline that could be considered clinically important.
Eighteen community-dwelling older adults (3 M, 15 F, 72 ± 6 years) participated in a home-based trial where each day they were asked to complete a technology-enabled routine consisting of a short questionnaire, as well as a quiet standing balance trial. Centre of pressure (COP) excursions were calculated over the course of each daily balance trial to generate variables such as postural sway length and mean sway frequency.
The data demonstrated large differences between subjects in centre of pressure measures (coefficients of variation ranging 37-107 %, depending on the variable). Each participant also exhibited variations in their day-to-day trials (e.g. coefficients of variation across 8 weeks ranging ~17-56 %, within person for mean COP distance). Inter- and intra-subject differences were not strongly related to functional tests, suggesting that these variations were not necessarily aberrant movement patterns, but are seemingly representative of natural movement variability.
The idea of applying a group-focused approach at an individual level may result in misclassifying important changes for a particular individual. Early detection of deterioration can only be achieved through the creation of individual trajectories for each person, that are inherently self referential.
本研究的重点是在8周时间内,对健康老年人在家中记录的站立姿势控制的每日客观测量指标进行监测。在相对没有功能衰退或疾病的情况下,确定日常信号的自然变化模式,将使我们能够确定姿势控制相对于基线变化的阈值,这些阈值可被视为具有临床重要性。
18名居住在社区的老年人(3名男性,15名女性,72±6岁)参与了一项居家试验,要求他们每天完成一项基于技术的常规任务,包括一份简短问卷以及一次安静站立平衡试验。在每次日常平衡试验过程中计算压力中心(COP)偏移,以生成诸如姿势摇摆长度和平均摇摆频率等变量。
数据表明,受试者在压力中心测量指标上存在很大差异(变异系数范围为37%-107%,取决于变量)。每位参与者在日常试验中也表现出差异(例如,8周内平均COP距离的个体内变异系数范围约为17%-56%)。受试者间和受试者内差异与功能测试的相关性不强,这表明这些变异不一定是异常的运动模式,而似乎是自然运动变异性的代表。
在个体层面应用以群体为重点的方法可能会导致对特定个体的重要变化进行错误分类。只有通过为每个人创建个体轨迹,才能实现对恶化情况的早期检测,这些轨迹本质上是自我参照的。