Cognitive Functions Predict Trajectories of Sleepiness Over 10 Years: A Population-Based Study.
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. Compared with low sleepiness, emerging sleepiness was significantly associated with declining attention and subjective memory complaints; persistent sleepiness was associated with lower baseline scores in all cognitive domains, declining language trajectory, and more subjective memory complaints.


CONCLUSIONS
These findings suggest that persistent sleepiness and emerging daytime sleepiness are associated with cognitive decline and multiple morbidities, albeit more subtly in emerging daytime sleepiness. Furthermore, these data suggest that change in the cognitive domain of attention and subjective memory complaints may be early indicators of future sleep disturbance.
['Cohen|Ann D|AD|', 'Jia|Yichen|Y|', 'Smagula|Stephen|S|', 'Chang|Chung-Chou H|CH|', 'Snitz|Beth|B|', 'Berman|Sarah B|SB|', 'Jacobsen|Erin|E|', 'Ganguli|Mary|M|']
D000368:Aged D001288:Attention D060825:Cognitive Dysfunction D015331:Cohort Studies D006970:Disorders of Excessive Somnolence D056344:Executive Function D005260:Female D006801:Humans D008297:Male D008568:Memory D057566:Self Report D000077260:Sleepiness D013997:Time Factors
Cognition Sleep Cognitive aging