Use of clinical and, impairment-based tests to predict falls by community-dwelling older adults
Use of clinical and, impairment-based tests to predict falls by community-dwelling older adults
复制标题
DOI：
10.1093/ptj/83.4.328
复制
发表时间：
2003-04-01
期刊：
影响因子：
3.2
通讯作者：
Barnes, CW
中科院分区：
文献类型：
--
作者：
Boulgarides, LK;McGinty, SM;Barnes, CW
背景和目的。很少有测试被发现能强烈预测社区居住的老年人的跌倒。本研究的目的是确定5项平衡测试的数据-结合有关跌倒史、药物数量、头晕、视力问题、辅助装置的使用、身体活动水平、性别和年龄的数据-是否可以预测独立居住的社区老年人的跌倒。科目。对99名65 ~ 90岁社区居住老年人（(X)≥bar= 4-02， SD=5.64）进行了测试。方法。在测试后的一年里，研究人员追踪了受试者的跌倒情况。基于损伤的测试，即试图明确确定哪些感觉系统受损或运动控制如何受损（例如，速度，运动准确性）的测试，是平衡感觉相互作用的改良临床测试（改良CTSIB）和100%稳定性极限测试，两者都是在Balance Master 6.1上完成的。基于性能的测试，即识别功能限制而不一定确定其原因的功能测试，包括伯格平衡量表、定时“上走”测试和动态步态指数。人口统计和健康数据包括年龄、性别、药物数量、身体活动水平、头晕的存在、视力问题和过去一年的跌倒史。使用逻辑回归来确定平衡测试、人口统计学和健康因素的哪些数据组合可以预测跌倒。结果。两个模型(1)改良CTSIB的“闭着眼睛站在坚硬的表面上”（FEC）条件和(2)FEC与年龄和性别相结合的模型可以预测跌倒，但在20名有跌倒风险的受试者中，分别只有1名和2名有跌倒风险的受试者。讨论与结论。结合健康和人口因素的五项平衡测试并不能预测活跃和独立的社区居住老年人的跌倒。
Background and Purpose. Few tests have been found to be strongly predictive of falls in community-dwelling older adults. The purpose of this study was to determine whether data from 5 balance tests-combined with data regarding fall history, number of medications, dizziness, visual problems, use of an assistive device, physical activity level, sex, and age-could predict falls in community-dwelling older adults who were independent. Subjects. Ninety-nine community-dwelling older adults aged 65 to 90 years ((X) over bar= 4-02, SD=5.64) were tested. Methods. Subjects were tracked for falls over a 1-year period following testing. Impairment-based tests, which are tests that attempt to specifically identify which sensory systems are impaired or how motor control is impaired (eg, speed, accuracy of movement), were the Modified Clinical Tests of Sensory Interaction for Balance (Modified CTSIB) and the 100% Limits of Stability Test, both of which were done on the Balance Master 6.1. Performance-based tests, which are functional tests that identify functional limitations without necessarily identifying their causes, were the Berg Balance Scale, the Timed "Up & Go" Test, and the Dynamic Gait Index. Demographic and health data included age, sex, number of medications, physical activity level, presence of dizziness, vision problems, and history of falls over the previous year. Logistic regression was used to determine which combinations of data from balance tests, demographics, and health factors were predictive of falls. Results. Two models-(1) the "standing on a firm surface with eyes closed" (FEC) condition of the Modified CTSIB and (2) the FEC combined with age and sex-were predictive of falls, but predicted only 1 and 2 subjects who were at risk for falling, respectively, out of 20 people who were at risk for falling. Discussion and Conclusion. Five balance tests combined with health and demographic factors did not predict falls in a sample of community-dwelling older adults who were active and independent.