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An Exploratory Factor Analysis of Sensor-Based Physical Capability Assessment

机译：基于传感器的物理能力评估的探索性因素分析

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摘要

Physical capability (PC) is conventionally evaluated through performance-based clinical assessments. We aimed to transform a battery of sensor-based functional tests into a clinically applicable assessment tool. We used Exploratory Factor Analysis (EFA) to uncover the underlying latent structure within sensor-based measures obtained in a population-based study. Three hundred four community-dwelling older adults (163 females, 80.9 ± 6.4 years), underwent three functional tests (Quiet Stand, QS, 7-meter Walk, 7MW and Chair Stand, CST) wearing a smartphone at the lower back. Instrumented tests provided 73 sensor-based measures, out of which EFA identified a fifteen-factor model. A priori knowledge and the associations with health-related measures supported the functional interpretation and construct validity analysis of the factors, and provided the basis for developing a conceptual model of PC. For example, the “Walking Impairment” domain obtained from the 7MW test was significantly associated with measures of leg muscle power, gait speed, and overall lower extremity function. To the best of our knowledge, this is the first time that a battery of functional tests, instrumented through a smartphone, is used for outlining a sensor-based conceptual model, which could be suitable for assessing PC in older adults and tracking its changes over time.
机译：身体能力（PC）通常通过基于性能的临床评估来评估。我们旨在将一系列基于传感器的功能测试转变为可在临床上应用的评估工具。我们使用探索性因子分析（EFA）来发现基于人口的研究中基于传感器的测度内潜在的潜在结构。 340名居住在社区中的老年人（163名女性，80.9±6.4岁）接受了三项功能测试（安静站立，QS，7米步行，7MW和椅子站立，CST），并在后腰佩戴了智能手机。仪器化测试提供了73种基于传感器的测量，EFA从中确定了一个15因子模型。先验知识以及与健康相关措施的关联支持功能解释和因素的有效性分析，并为建立PC概念模型提供了基础。例如，从7MW测试获得的“步行障碍”域与腿部肌肉力量，步态速度和整体下肢功能的测量显着相关。据我们所知，这是第一次通过智能手机进行功能测试，以概述基于传感器的概念模型，该模型可能适合评估老年人的PC并跟踪其变化。时间。

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