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The application of adaptation model in daily life ability training in patients with dementia of Alzheimer's disease / 中华行为医学与脑科学杂志
Article in Chinese | WPRIM (Western Pacific) | ID: wpr-616222
Responsible library: WPRO
ABSTRACT
Objective To explore the effect of daily life ability training guided by adaptation model in dementia patients with Alzheimer's disease(AD).Methods32 patients with dementia of AD were divided into experimental group(n=16) and control group(n=16) according to the random number method.The patients in two groups were treated with conventional drugs.The patients in experimental group were trained for daily living ability guided by adaptation mode for 6 months in addition.Scale of Clinical Assessment for Geriatrics (SCAG) and Activity of Daily Living Scale (ADL) were assessed before and after six months.Results(1)After 6 months training,the total scores of ADL and SCAG and the scores of each factor in the experimental group were significantly different from those of the control group (P<0.05).(2) After 6 months training,the total score of the ADL scale in the experimental group was decreased than that before training((41.34± 11.02),(34.14± 8.40)),and the difference was statistically significant (t=2.08,P<0.05).(3) Compared with that before training,the total score of the SCAG scale in the experimental group was significantly decreased(92.56±4.24,75.31±6.26,t=9.12,P<0.05).ConclusionThe daily life ability training guided by adaptation model is effective in the treatment of dementia patients with AD.The adaptive model is available in home care,community daycare institutions and geriatric ward for patients with dementia in AD.

Full text: Available Database: WPRIM (Western Pacific) Type of study: Prognostic study Language: Chinese Journal: Chinese Journal of Behavioral Medicine and Brain Science Year: 2017 Document type: Article
Full text: Available Database: WPRIM (Western Pacific) Type of study: Prognostic study Language: Chinese Journal: Chinese Journal of Behavioral Medicine and Brain Science Year: 2017 Document type: Article
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