title: Estimating the prevalence of dementia in elderly people: a comparison of the Canadian Study of Health and Aging and National Population Health Survey approaches.
abstract: The Canadian Study of Health and Aging (CSHA) and the National Population Health Survey (NPHS) collected data on the prevalence of dementia in differing fashions. The CSHA used a two-stage method with objective testing and expert judgment, and the NPHS used self-report and proxy data. The present report compares estimates of prevalence and the methodology for ascertainment in the two surveys. The more detailed approach of the CSHA offers the more valid means of estimating prevalence and providing data on subtypes, and can be used in naturalhistory studies. TheNPHSmeasures, including a self/proxy report of diagnosed dementia and a derived cognitive measure, are not sufficiently valid for useful inferences to be made. However, the NPHS method can be improved through supplementation with data on functional disability, providing age group-specific point estimates closer to the CSHA's estimates of cognitive impairment and dementia from the community sample. Future waves of the NPHS may wish to include objective cognitive function measures as a cost-efficient and more accurate method of estimating the prevalence of the dementia syndrome without attempting to estimate the prevalence of particular causes of that syndrome.
authors.affiliation: Department of Internal Medicine, University of Nebraska Medical Center, Omaha, USA.
authors.forename: V S
authors.initials: VS
authors.lastname: Thomas
authors.forename: S
authors.initials: S
authors.lastname: Darvesh
authors.forename: C
authors.initials: C
authors.lastname: MacKnight
authors.forename: K
authors.initials: K
authors.lastname: Rockwood
mesh_terms: D000368:Aged; D015982:Bias; D002170:Canada / Q000453:epidemiology; D015331:Cohort Studies; D003430:Cross-Sectional Studies; D003625:Data Collection / Q000706:statistics & numerical data; D003704:Dementia / Q000175:diagnosis / Q000453:epidemiology* / Q000209:etiology; D015340:Epidemiologic Research Design; D005260:Female; D006801:Humans; D015994:Incidence; D008297:Male; D008609:Mental Status Schedule / Q000706:statistics & numerical data; D012307:Risk Factors