title: Effects of age, education and gender in the Consortium to Establish a Registry for the Alzheimer's Disease (CERAD)-Neuropsychological Assessment Battery for Cantonese-speaking Chinese elders.
abstract: BACKGROUND
  The Consortium to Establish a Registry for Alzheimer's Disease Neuropsychological Assessment Battery (CERAD-NAB) offers information on the clinical diagnosis of Alzheimer's disease (AD) and gives a profile of cognitive functioning. This study explores the effects of age, education and gender on participants' performance on eight subtests in the Chinese-Cantonese version of the CERAD-NAB.
  
  
  METHODS
  The original English version of the CERAD-NAB was translated and content-validated into a Chinese-Cantonese version to suit the Hong Kong Chinese population. The battery was administered to 187 healthy volunteers aged 60 to 94 years. Participants were excluded if they had neurological, medical or psychiatric disorders (including dementia). Stepwise multiple linear regression analyses were performed to assess the relative contribution of the demographic variables to the scores on each subtest.
  
  
  RESULTS
  The Cantonese version of CERAD-NAB was shown to have good content validity and excellent inter-rater reliability. Stepwise multiple regression analyses revealed that performances on seven and four out of eight subtests in the CERAD-NAB were significantly influenced by education level and age, respectively. Age and education had significant effects on participants' performance on many tests. Gender also showed a significant effect on one subtest.
  
  
  CONCLUSIONS
  The preliminary data will serve as an initial phase for clinical interpretation of the CERAD-NAB for Cantonese-speaking Chinese elders.
authors: Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong. Karen.liu@inet.polyu.edu.hk
authors: Karen P Y
authors: KP
authors: Liu
authors: Michael C C
authors: MC
authors: Kuo
authors: Kin-Chung
authors: KC
authors: Tang
authors: Allison W S
authors: AW
authors: Chau
authors: Iris H T
authors: IH
authors: Ho
authors: Matthew P H
authors: MP
authors: Kwok
authors: Wallis C W
authors: WC
authors: Chan
authors: Roy H K
authors: RH
authors: Choi
authors: Natalie C W
authors: NC
authors: Lam
authors: Mary M L
authors: MM
authors: Chu
authors: Leung-Wing
authors: LW
authors: Chu
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D000375:Aging / Q000523:psychology*; D000544:Alzheimer Disease / Q000175:diagnosis / Q000453:epidemiology / Q000523:psychology*; D004522:Educational Status; D005260:Female; D006723:Hong Kong / Q000453:epidemiology; D006801:Humans; D008297:Male; D009483:Neuropsychological Tests / Q000592:standards* / Q000706:statistics & numerical data; D012042:Registries / Q000706:statistics & numerical data; D012737:Sex Factors