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Identification of key outcome measures when using the instrumented timed up and go and/or posturography for fall screening

机译:使用仪表定时和去和/或Postography进行秋季筛选时识别关键结果测量

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The Timed Up and Go (TUG) has been commonly used for fall risk assessment. The instrumented Timed Up and Go (iTUG) adds wearable sensors to capture sub-movements and may be more sensitive. Posturography assessments have also been used for determining fall risk. This study used stepwise logistic regression models to identify key outcome measures for the iTUG and posturography protocols. The effectiveness of the models containing these measures in differentiating fallers from non-fallers were then compared for each: iTUG total time duration only, iTUG, posturography, and combined iTUG and posturography assessments. One hundred and fifty older adults participated in this study. The iTUG measures were calculated utilizing APDM Inc.'s Mobility Lab software. Traditional and non-linear posturography measures were calculated from center of pressure during quiet-standing. The key outcome measures incorporated in the iTUG assessment model (sit-to-stand lean angle and height) resulted in a model sensitivity of 48.1% and max re-scaled R-2 value of 0.19. This was a higher sensitivity, indicating better differentiation, compared to the model only including total time duration (outcome of the traditional TUG), which had a sensitivity of 18.2%. When the key outcome measures of the iTUG and the posturography assessments were combined into a single model, the sensitivity was approximately the same as the iTUG model alone. Overall the findings of this study support that the iTUG demonstrates greater sensitivity than the total time duration, but that carrying out both iTUG and posturography does not greatly improve sensitivity when used as a fall risk screening tool.
机译:超时和去(拖船)通常用于秋季风险评估。仪器定时和GO(ITUB)添加可穿戴传感器以捕获子移动,并且可能更敏感。后术评估也已用于确定危险风险。本研究使用了逐步逻辑回归模型来识别ITUB和Posturecraphy协议的关键结果措施。然后,将含有这些措施的模型的有效性与各个时间持续时间,erug,postoftraphy和组合的磨损和后术评估相比,含有这些措施的措施。一百五十名老年人参加了这项研究。使用APDM Inc.的Mobility Lab软件计算ITUM措施。传统的和非线性后射出测量措施是从静态站的压力中心计算的。在ITUB评估模型中包含的关键结果措施(Sit-to-Stact leip角和高度)导致模型灵敏度为48.1%,最大重新缩放R-2值为0.19。这是一个更高的灵敏度,表明与模型相比,仅包括仅包括总时间持续时间(传统拖船的结果),其敏感性为18.2%。当艾率和后术评估的关键结果测量与单一模型组合成单一模型时,灵敏度与SITUM模型相同。总体而言,这项研究支持的结果支持,即艾率的敏感性比总持续时间更大,但执行磨光和后术后,当用作秋季风险筛查工具时,不会大大提高灵敏度。

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