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Dataset Information

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


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 c

SUBMITTER: Royall DR 

PROVIDER: S-EPMC5927021 | biostudies-literature | 2017 Oct

REPOSITORIES: biostudies-literature