摘要
目的研究一个预测模型,用于社区居家老年人跌倒筛查,并量化活动能力与跌倒的关系。方法随机选取北京四个社区65岁以上老年人144例,根据过去1年是否跌倒分为跌倒组和非跌倒组,其中跌倒组50例,非跌倒组94例。对两组受试者进行功能性步态测试(FGA)、Berg平衡量表(BBS)评定、功能性伸展测试(FRT)、感觉整合和平衡的临床改良测试(CISIB)、单腿站立(OLS)、记时起立行走实验(TUGT)、10米步行时间,功能性伸展实验。跌倒组和非跌倒组之间各项测试的差异进行分析,除了睁眼、闭眼平地站立和睁眼抬头平地站立外,其余均具有统计学差异,并对其进行logistic回归分析。结果2组受试者除睁眼平地站立、闭眼平地站立和睁眼抬头平地站立外,其余各项测试组间比较,差异均有统计学意义(P〈0.05)。Logistic模型结果显示,FGA总分和mCISIB中的睁眼站立海绵垫上对跌倒的预测最有意义,其中敏度性为80%,特异度为74.2%。FGA和睁眼站立海绵垫上的敏感度和特异度分别为76%,74.2%和56%,81.6%。模型的受试者工作特征曲线(ROC曲线)下面积为0.845。结论该模型可用于社区居家健康老年人跌倒的筛查,预测社区老年人跌倒的敏感性优于FGA和睁眼站立海绵垫上,特异性与FGA相似。量化社区居家老年人活动能力与跌倒的关系,为跌倒预防提供数据。
Objective To establish a model predicting the fall risk of healthy, community-dwelling elderly persons and to quantify the relationship between physical function and fall risk. Methods One hundred and fortyfour healthy subjects aged ≥65 years and living independently were recruited. Fifty were classified as fallers and 94 as non-railers according to their history of falling during the previous year. Functional gait assessment (FGA) , the Berg balance scale (BBS) , a functional reach test (FRT) , a modified clinical test of sensory integration for balance (CISIB) , one-leg stance, the timed up and go test (TUGT) and the 10 meter walk test were used to distinguish the fallers from the non-fallers, and the significant variables were subjected to logistic regression analysis. Results Each of the tests generated significant differences between non-fallers and fallers except for standing in place with the eyes open and closed. Logistic regression showed that total FGA scores and the results of standing on a foam surface with the eyes open (FOEO) significantly predicted faller status with 80% sensitivity and 74. 2% specificity. Conclusions This model can be used to predict fall risk for healthy, community-dwelfing elderly persons. It is more sensitive than the FGA and FOEO and similarly specific.
出处
《中华物理医学与康复杂志》
CAS
CSCD
北大核心
2013年第6期456-459,共4页
Chinese Journal of Physical Medicine and Rehabilitation