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首页> 外文期刊>BMC Public Health >Development of a fall-risk assessment profile for community-dwelling older adults by using the National Health Interview Survey in Taiwan
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Development of a fall-risk assessment profile for community-dwelling older adults by using the National Health Interview Survey in Taiwan

机译：通过利用台湾国家卫生面试调查，通过国家卫生面试调查制定社区住宅较老年人的秋季风险评估概况

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Falls represent a global health issue among older adults and cause a considerable burden on medical systems. In this study, a fall-risk assessment profile was developed for community-dwelling older adults. The data of survey participants aged ?65?years were obtained from three rounds (2005, 2009, and 2013) of the National Health Interview Survey in Taiwan. In total, 8356 older participants were included in this study. Logistic regression analyses were used to determine potential predictors associated with falls. The regression coefficients of the predictors in the final model were translated into scores (by multiplying by 5) and then summed to obtain a total risk-score for falls. A receiver operating characteristic (ROC) curve was used to evaluate the discriminative performance of the risk assessment profile. Self-reported falls within 1?year accounted for 19.1% of the total falls. The predictors that were included in the risk profile according to the logistic regression analysis results were as follows: female sex (adjusted odds ratio?=?1.57; risk-score?=?2), living alone (adjusted odds ratio?=?1.56; risk-score?=?2), urinary incontinence (adjusted odds ratio?=?1.36; risk-score?=?2), perceived unhealthiness (adjusted odds ratio?=?1.32; risk-score?=?1), perceived pain (adjusted odds ratio?=?1.51; risk-score?=?2), hospital admission in the past year (adjusted odds ratio?=?2.42; risk-score?=?4), low activity of daily living (ADL) scores (adjusted odds ratio?=?1.29; risk-score?=?1), and low mobility function scores (adjusted odds ratio?=?1.68; risk-score?=?3). At a total risk-score cutoff point of 6 (range 0–17), the model predicted falls with a sensitivity and specificity of 75.16 and 52.75%, respectively (area under the ROC curve?=?0.70). The fall-risk assessment profile comprising eight predictors—female sex, living alone, incontinence, perceived unhealthiness, perceived pain, hospital admission in the past year, low ADL scores, and low mobility function scores—may serve as an assessment tool for identification of older adults with a high risk of falling, and assessment results can be used to facilitate community-based intervention.
机译：瀑布代表了老年人的全球健康问题，并对医疗系统引起了相当大的负担。在这项研究中，为社区住宅的老年人制定了秋季风险评估概况。调查参与者的数据>？65？岁月是从台湾全国卫生面试调查的三轮（2005年，2009年和2013年）获得的。总共包括8356名年龄较大的参与者在本研究中。逻辑回归分析用于确定与瀑布相关的潜在预测因子。最终模型中的预测器的回归系数被翻译成分数（通过乘以5），然后总结以获得落下的总风险得分。接收器操作特征（ROC）曲线用于评估风险评估概况的辨别性能。自我报告的下降1？一年占总瀑布的19.1％。根据逻辑回归分析结果中包含的预测因子如下：女性（调整的赔率比？=？1.57;风险评分？=？2），独自生活（调整的赔率比？=？1.56 ;风险评分？=？2），尿失禁（调整赔率比？=？1.36;风险评分？=？2），感知不健康（调整的赔率比？=？1.32;风险评分？=？1），感知疼痛（调整的赔率比？=？1.51;风险评分？=？2），过去一年中的医院入学（调整赔率比？=？2.42;风险评分？=？4），日常生活的低活动（ ADL）得分（调整的赔率比？=？1.29;风险评分？=？1），低移动性功能分数（调整的差距Δ=？1.68;风险评分？=？3）。在6（范围0-17）的总风险分数截止点，预测的模型分别具有75.16和52.75％的灵敏度和特异性（ROC曲线下的区域？= 0.70）。包括八个预测因子 - 女性性别，单独，尿失禁，令人遗憾的不健康，感知疼痛，医院入学，低于ADL分数和低移动性函数分数的秋季风险评估概况 - 可以作为识别的评估工具具有高风险落下的老年人和评估结果可用于促进基于社区的干预。

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