谷歌浏览器插件
订阅小程序
在清言上使用

Evaluation of a combined cognitive-behavioural and exercise intervention to manage fear of falling among elderly residents in nursing homes.

AGING & MENTAL HEALTH(2016)

引用 46|浏览8
暂无评分
摘要
Objectives: Although the fear of falling is common among elderly residents in long-term care facilities, interventions developed for fear of falling management is very rare. Of these limited interventions, most were exercise interventions with only limited testing. The cognitive-behavioural intervention can decrease the fear of falling; however no intervention of the kind was developed and assessed to decrease fear of falling among the elderly in long-term care facilities. The purpose of this study was to examine the effectiveness of cognitive-behavioural strategies either with or without exercise in reducing fear of falling among elderly residents in nursing homes.Method: A prospective randomized control trial was conducted in six nursing homes in northern Taiwan. Seventy-five elderly participants were randomly assigned to one of the three groups: the comparison group, the cognitive-behavioural strategies with or without exercise group. The fear of falling, falls, depressive inclination, mobility, and muscle strength of extremities were collected at the two-month and five-month follow-up sessions, in which the progress of the patients were assessed.Results: The mixed model analysis revealed that elderly adults in the combination experimental group had significant improvements compared with the other two groups on fear of falling, depressive inclination, mobility, and muscle strength at five months. The incidences of falls, post intervention, in both experimental groups were significantly lower than those in the comparison group.Conclusions: The results suggest that the combination intervention helped elderly residents manage their fear of falling and falls, decrease their depressive inclination, and enhance their mobility and muscle strength.
更多
查看译文
关键词
fear of falling,nursing homes,randomize controlled trial
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要