Exportation and Validation of Latent Constructs for Dementia Case Finding in a Mexican American Population-based Cohort

Donald R. Royall, Raymond F. Palmer, Kyriakos S. Markides

    Research output: Contribution to journalArticlepeer-review

    7 Scopus citations

    Abstract

    Background The latent variable "δ " has been validated as a dementia phenotype. δ can be extracted from Spearman's general intelligence factor "g" in any data set that contains measures of cognition and instrumental activities of daily living (IADL). We used δ composites ("d-scores") to estimate the prevalence of dementia in the Hispanic Established Population for Epidemiological Studies in the Elderly (H-EPESE). Method δ was constructed from Mini-Mental State Examination, a clock-drawing task (CLOX), and IADL. δ 's H-EPESE factor weights were validated in the well-characterized Texas Alzheimer's Research and Care Consortium (TARCC). Optimal thresholds for the discrimination between "Alzheimer's disease" (AD) versus normal controls (NCs) were determined by receiver operating characteristic curve. Those thresholds were used to estimate the prevalence of dementia in H-EPESE. Results Each δ homolog fits its source's data well. d-scores were strongly associated with Clinical Dementia Rating scale Sum of Boxes (r =.74-.85, all p <.001], and accurately distinguished AD cases from NCs, in both Mexican Americans (MAs) and non-Hispanic Whites (NHWs) [c = 0.94-0.96]. The TARCC MA threshold estimated the prevalence of dementia at 21.4% in H-EPESE. The NHW threshold estimated the prevalence of dementia at 21.0%. Conclusions It is possible to export δ composites from populations to well-characterized cohorts for validation.

    Original languageEnglish (US)
    Pages (from-to)947-955
    Number of pages9
    JournalJournals of Gerontology - Series B Psychological Sciences and Social Sciences
    Volume72
    Issue number6
    DOIs
    StatePublished - Nov 1 2017

    Keywords

    • Aging
    • Cognition
    • Dementia
    • Functional status
    • g

    ASJC Scopus subject areas

    • Health(social science)
    • Sociology and Political Science
    • Life-span and Life-course Studies

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