萧条(经济学)
生物心理社会模型
口语流利性测试
日常生活活动
老人忧郁量表
冲程(发动机)
心理学
认知
多级模型
临床心理学
老年学
医学
物理疗法
精神科
神经心理学
抑郁症状
宏观经济学
经济
工程类
机器学习
机械工程
计算机科学
作者
Shirley G. Hosking,Nigel V. Marsh
出处
期刊:Brain Impairment
[Cambridge University Press]
日期:2013-11-15
卷期号:14 (3): 381-391
被引量:3
标识
DOI:10.1017/brimp.2013.30
摘要
The prevalence and determinates of depression in 67 older adults were assessed at 1 year post-stroke. The sample had an average age of 74 years ( SD = 7, range = 60–87 years) at the time of their stroke and 52% were female. The relative contribution of demographic (gender, age), medical (history of previous stroke, hemispheric location of stroke), two measures of functional independence (Barthel Activities of Daily Living (ADL) Index and Nottingham Extended ADL Index) and aspects of cognitive functioning (IQ, attention, verbal memory and verbal fluency) to depression (Geriatric Depression Scale) was investigated. Results indicated that 51% of patients had impairment in activities of daily living, and 33% reported clinically significant levels of depression. Prevalence of cognitive impairment ranged from 28% on a measure of basic cognitive functioning through to 87% on a measure of complex attention. The results from a hierarchical multiple regression analysis showed that the combination of variables explained 40% of the variance in depression scores. In addition, the two individual variables of history of previous stroke and functional independence made significant unique contributions to the variance in depression scores. These results demonstrate the wide variety of factors involved and provide support for a biopsychosocial model of post-stroke depression.
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