首页> 外文期刊>Archives of Gerontology and Geriatrics: An International Journal Integrating Experimental, Clinical and Social Studies on Ageing >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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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.

机译:预测老年人社区的跌倒情况:比较姿势变化,反应时间,Berg平衡量表和特定于活动的平衡者信心度(ABC)量表,以比较跌倒者和非跌倒者。

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摘要

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 revealedthat 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.
机译:研究了简单的反应时间,Berg平衡量表,特定于活动的平衡信心量表(ABC)和姿势摇摆,以确定临界值,并建立了用于预防老年人社区中的跌倒者的模型。在整个研究过程中,对一百二十五名受试者,45名跌倒者和80名非跌倒者进行了评估,结果表明,非跌倒者的反应时间明显加快,在Berg平衡量表和ABC量表上得分更高,并且在与下降器相比,频率较低。此外,所有风险因素随后都进行了逻辑回归分析,结果表明反应时间,总Berg得分和总ABC得分对跌倒的预测有显着贡献,敏感性为89%,特异性为96%。使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Logistic回归。逻辑分析的结果表明,三个变量与跌倒状态相关,敏感性为91%,特异性为97%。以下研究的结果作为医疗保健专业人员在识别和监视疗养院内以及整个社区中潜在跌倒者方面的评估工具似乎相当有价值。

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