Predicting falls within the elderly community: comparison of postural sway, reaction time, the Berg balance scale and the Activities-specific Balance Confidence (ABC) scale for comparing fallers and non-fallers
Predicting falls within the elderly community: comparison of postural sway, reaction time, the Berg balance scale and the Activities-specific Balance Confidence (ABC) scale for comparing fallers and non-fallers
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DOI：
10.1016/s0167-4943(03)00082-7
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发表时间：
2004-01-01
影响因子：
4
通讯作者：
Gallagher, SP
中科院分区：
文献类型：
--
作者：
Lajoie, Y;Gallagher, SP
简单反应时间、伯格平衡量表、特定活动平衡信心量表（ABC）和姿势摇摆进行了研究，以确定截止分数，并开发了一个用于预防老年人社区跌倒的模型。在整个研究过程中对125名受试者，45名跌倒者和80名非跌倒者进行了评估，结果表明，与跌倒者相比，非跌倒者的反应时间明显更快，在Berg平衡量表和ABC量表上得分更高，摇摆频率也较慢。此外，随后将所有危险因素纳入logistic回归分析，结果显示反应时间、Berg总评分和ABC总评分对预测跌倒有显著贡献，敏感性为89%，特异性为96%。用相同的先前变量以及Berg和ABC量表的所有问题进行第二次逻辑回归。逻辑分析结果显示，三个变量与跌倒状态相关，敏感性为91%，特异性为97%。以下研究的结果似乎相当有价值，可以作为卫生保健专业人员在疗养院和整个社区内识别和监测潜在跌倒者的评估工具。2003爱思唯尔爱尔兰有限公司版权所有。
Simple reaction time, the Berg balance scale, the Activities-specific Balance Confidence (ABC) scale and postural sway were studied in order to determine cut-off scores as well as develop a model used in the prevention of fallers within the elderly community. One hundred and twenty-five subjects, 45 fallers and 80 non-fallers were evaluated throughout the study and results indicated that non-fallers have significantly faster reaction times, have higher scores on the Berg balance scale and the ABC scale as well as sway at slower frequencies when compared to fallers. Furthermore, all risk factors were subsequently entered into a logistic regression analysis and results showed that reaction time, the total Berg score and the total ABC score contributed significantly to the prediction of falls with 89% sensitivity and 96% specificity. A second logistic regression was carried out with the same previous variables as well as all questions of the Berg and ABC scales. Results from the logistic analysis revealed that three variables were associated with fall status with 91% sensitivity and 97% specificity. Results from the following study would seem rather valuable as an assessment tool for health care professionals in the identification and monitoring of potential fallers within nursing homes and throughout the community. (C) 2003 Elsevier Ireland Ltd. All rights reserved.