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Dataset Information

Cognitive Functions Predict Trajectories of Sleepiness Over 10 Years: A Population-Based Study.


ABSTRACT:

Background

Excessive daytime sleepiness is associated with chronic disorders of aging and mortality. Because longitudinal data are limited on the development of sleep disturbances and cognitive changes in older adults, we investigated the demographic, clinical, and cognitive predictors of self-reported daytime sleepiness over a period of 10 years.

Methods

We jointly modeled latent trajectories over time of sleepiness, cognitive domains, and informative attrition and then fit models to identify cognitive trajectories and baseline characteristics that predicted the trajectories of sleepiness.

Results

Three latent trajectory groups were identified: emerging sleepiness, persistent sleepiness, and consistently low daytime sleepiness accounting for attrition in all groups.

SUBMITTER: Cohen AD 

PROVIDER: S-EPMC7907493 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature