Predictors of falls among elderly people. Results of two population-based studies.
Predictors of falls among elderly people. Results of two population-based studies.
复制标题
老年人跌倒的预测因素。
DOI：
--
复制
发表时间：
1989
影响因子：
--
通讯作者：
Gilbert Fine
中科院分区：
文献类型：
--
作者：
A. Robbins;L. Rubenstein;K. Josephson;B. Schulman;D. Osterweil;Gilbert Fine
进行了一项研究，以确定和排名机构（跌倒者，N = 79，nonfallers，N = 70）和非机构（跌倒者，N = 34，nonfallers，N = 34）老年人人群中跌倒的风险因素。跌倒者的年龄、性别和居住地与非跌倒者对照组相匹配。执业护士使用标准化方案和医生咨询对所有受试者进行全面的身体评估。两个人群中的跌倒者比对照组受试者的身体和功能受损更明显。Logistic回归分析发现，髋关节无力、平衡能力差和处方药物数量是与住院受试者跌倒最密切相关的因素。根据这些发现开发了跌倒预测模型，总体预测准确率为76%（敏感性为89%，特异性为60%）。使用该模型，预测的1年跌倒风险范围从12%（无三种风险因素）到100%（有三种风险因素）。在非机构化的受试者中的发现是相似的。这些数据支持进行重点跌倒风险评估的概念，以确定老年患者跌倒的高风险。
A study was performed to identify and rank risk factors for falling among populations of institutionalized (fallers, N = 79, nonfallers, N = 70) and noninstitutionalized (fallers, N = 34, nonfallers, N = 34) elderly persons. Fallers were matched by age, sex, and living location to nonfaller control subjects. A nurse practitioner performed a comprehensive physical assessment in all subjects using a standardized protocol and physician consultation. Fallers in both populations were significantly more physically and functionally impaired than control subjects. Logistic regression identified hip weakness, poor balance, and number of prescribed medications as factors most strongly associated with falling among institutionalized subjects. A fall prediction model was developed from these findings yielding 76% overall predictive accuracy (89% sensitivity, 60% specificity). Using the model, the predicted 1-year risk of falling ranged from 12% for persons with none of the three risk factors to 100% for persons with all three risk factors. Findings among noninstitutionalized subjects were similar. These data support the concept of performing focused fall risk assessments to identify elderly patients at high risk for falling.
影响因子：
158.5
作者：
TINETTI, ME;SPEECHLEY, M;GINTER, SF
通讯作者：
GINTER, SF