Predicting the stages of Alzheimer's disease using the disability assessment for dementia (Chinese version)

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Predicting the stages of Alzheimer's disease using the disability assessment for dementia (Chinese version)

 

Author: Cheung, Wing-sze Samantha
Title: Predicting the stages of Alzheimer's disease using the disability assessment for dementia (Chinese version)
Degree: M.Sc.
Year: 2004
Subject: Hong Kong Polytechnic University -- Dissertations
Alzheimer's disease -- Diagnosis
Older people -- Functional assessment
Disability evaluation
Dementia
Department: Dept. of Rehabilitation Sciences
Pages: ix, 58 leaves ; 30 cm
Language: English
InnoPac Record: http://library.polyu.edu.hk/record=b1772697
URI: http://theses.lib.polyu.edu.hk/handle/200/546
Abstract: Functional disability is a cardinal characteristic of Alzheimer's disease (AD). Functional decline in AD starts from loss of complex functional skills during the early stage, to difficulty in performing simple self care tasks in late stage of the disease. This study aims to investigate the functional disability in persons with AD across different stages of dementia and also examines if the Chinese version of Disability Assessment for Dementia (CDAD) could predict the stages of AD as defined by Global Deterioration Scale (GDS). A total of 80 participants were recruited from local elderly day care centre and care and attention homes. The primary caregivers of the participants were interviewed to complete the CDAD and GDS. ANOVA and post-hoc comparisons showed that the mean CDAD total scores among elderly with different GDS stages were significant different. Discriminant analysis were employed to determine whether the total scores, the ADL sub-scores as well as the IADL sub-scores of CDAD could predict the stages of AD. Stepwise discriminant analysis revealed that CDAD total scores and ADL sub-scores were the most correlated predictors in the classification. It indicated that 92.5% of participants were classified correctly by discriminant function based on the CDAD total scores. The predictive accuracy in classifying GDS groups of CDAD ADL sub-scores and IADL sub-scores were 66.3% and 71.3% respectively. Further analysis revealed that the GDS stages were closely related to the CDAD total and subscale scores, with canonical correlation ranging from .856 to .975. There is strong evidence from the results that the CDAD score is a reliable predictor in classifying persons with different stages of AD. The contribution of this study for clinical practice and research would be further discussed.

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