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比较伯格平衡量表和富勒顿高级平衡量表对社区居住成年人跌倒的预测能力。

Comparison of the Berg Balance Scale and Fullerton Advanced Balance Scale to predict falls in community-dwelling adults.

作者信息

Jeon Yong-Jin, Kim Gyoung-Mo

机构信息

Department of Physical Therapy, School of Medical and Public Health, Kyungdong University, Republic of Korea.

Department of Physical Therapy, Division of Health Science, Baekseok University, Republic of Korea.

出版信息

J Phys Ther Sci. 2017 Feb;29(2):232-234. doi: 10.1589/jpts.29.232. Epub 2017 Feb 24.

Abstract

[Purpose] The purpose of this study was to investigate and compare the predictive properties of Berg Balance Scale and Fullerton Advanced Balance Scales, in a group of independently-functioning community dwelling older adults. [Subjects and Methods] Ninety-seven community-dwelling older adults (male=39, female=58) who were capable of walking independently on assessment were included in this study. A binary logistic regression analysis of the Berg Balance Scale and Fullerton Advanced Balance Scale scores was used to investigate a predictive model for fall risk. A receiver operating characteristic analysis was conducted for each, to determine the cut-off for optimal levels of sensitivity and specificity. [Results] The overall prediction success rate was 89.7%; the total Berg Balance Scale and Fullerton Advanced Balance Scale scores were significant in predicting fall risk. Receiver operating characteristic analysis determined that a cut-off score of 40 out of 56 on the Berg Balance Scale produced the highest sensitivity (0.82) and specificity (0.67), and a cut-off score of 22 out of 40 on the Fullerton Advanced Balance Scale produced the highest sensitivity (0.85) and specificity (0.65) in predicting faller status. [Conclusion] The Berg Balance Scale and Fullerton Advanced Balance Scales can predict fall risk, when used for independently-functioning community-dwelling older adults.

摘要

[目的]本研究旨在调查并比较伯格平衡量表和富勒顿高级平衡量表对一组具有独立功能的社区居住老年人的预测特性。[对象与方法]本研究纳入了97名在评估时能够独立行走的社区居住老年人(男性39名,女性58名)。采用伯格平衡量表和富勒顿高级平衡量表得分的二元逻辑回归分析来研究跌倒风险的预测模型。对每个量表进行受试者工作特征分析,以确定敏感性和特异性最佳水平的临界值。[结果]总体预测成功率为89.7%;伯格平衡量表和富勒顿高级平衡量表的总分在预测跌倒风险方面具有显著性。受试者工作特征分析确定,伯格平衡量表56分中40分的临界值在预测跌倒状态时产生最高敏感性(0.82)和特异性(0.67),富勒顿高级平衡量表40分中22分的临界值在预测跌倒状态时产生最高敏感性(0.85)和特异性(0.65)。[结论]当用于具有独立功能的社区居住老年人时,伯格平衡量表和富勒顿高级平衡量表可以预测跌倒风险。

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