Displaying all 4 publications

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  1. Ng TP, Leong T, Chiam PC, Kua EH
    Dement Geriatr Cogn Disord, 2010;29(2):131-8.
    PMID: 20145399 DOI: 10.1159/000275668
    Ethnic variations in dementia rate have been reported worldwide. Understanding these differences is vital for aetiological research, clinical care and health service planning. While age and gender have been consistently implicated, the reasons behind interethnic variation remain unclear.
  2. Niti M, Ng TP, Chiam PC, Kua EH
    J Clin Epidemiol, 2007 Apr;60(4):366-74.
    PMID: 17346611
    Item response bias (also called differential item functioning, DIF) in Instrumental Activities of Daily Living (IADL) occurs when members of different groups possessing the same disability level do not have the same probability of responding positively for a given item(s). This study aimed to identify the extent of DIF by gender, age, ethnicity, and dementia groups in IADL estimates in Asian (Chinese, Malays, and Indian) elderly subjects.
  3. Ng TP, Niti M, Chiam PC, Kua EH
    J Am Geriatr Soc, 2006 Jan;54(1):21-9.
    PMID: 16420194
    To make comparative estimates of prevalence of late-life functional disability, examine sociodemographic and health correlates, investigate sex and ethnic differences, and estimate population attributable risk of modifiable risk factors.
  4. Ng TP, Niti M, Chiam PC, Kua EH
    J Gerontol A Biol Sci Med Sci, 2006 Jul;61(7):726-35.
    PMID: 16870636
    BACKGROUND: We sought to assess the validity of the physical and cognitive domains of Lawton and Brody's Instrumental Activities of Daily Living (IADL) scale and its cross-cultural applicability across ethnic groups in an Asian population of community-living older adults.

    METHODS: Using data from a random population sample of noninstitutionalized Chinese, Malay, and Indian older adults 60 years old and older in Singapore (N = 1072), we modeled the dimensional structure of the 8-item IADL Scale using exploratory and confirmatory factor analyses, and assessed its convergent and divergent validity using known group differences and strengths of association.

    RESULTS: Factor analyses yielded two strong and reliable factors representing underlying physical and cognitive dimensions of IADL. The validity of the model was supported by the pattern of associations of the IADL with age, gender, education, self-reported health status, hospitalization, physical comorbidities, dementia and depression, and Mini-Mental State Examination (MMSE) scores. Notably, cognitive IADL showed a greater total effect on MMSE cognitive performance score than did physical IADL, with the effect of physical IADL on MMSE score mostly explained by cognitive IADL. Reasonably good cross-cultural validity was demonstrated among Chinese, Malays, and Indians, with strongest validity for Indians.

    CONCLUSION: The eight-item IADL Scale has physical and cognitive domains and is cross-culturally applicable. The cognitive IADL domain taps a set of activities directly related to cognitive functioning.

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