ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2021
Cognitive Functions Predict Trajectories of Sleepiness Over 10 Years: A Population-Based Study.
Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 14 citations in OpenAlex.
- Olfactory Dysfunction and Long-Term Trajectories of Sleep Disorders among early Parkinson's Disease: Findings from a Longitudinal Cohort.Neuroepidemiology · 2025Article
- Association Between Daytime Sleepiness and Quality of Life in Chinese Adolescents: A Moderated Mediation of Cognitive Dysfunction and Depressive Symptoms.Neuropsychiatric disease and treatment · 2025Article
- Sleep, Sleepiness, and Memory.Sleep science (Sao Paulo, Brazil) · 2024Article
- Excessive daytime sleepiness in young and middle-aged Chinese adults with obstructive sleep apnea: implications for cognitive dysfunction.Sleep & breathing = Schlaf & Atmung · 2024Article
- Excessive Daytime Sleepiness and Insomnia Symptoms in Adolescents With Major Depressive Disorder: Prevalence, Clinical Correlates, and the Relationship With Psychiatric Medications Use.Psychiatry investigation · 2023Article
- A high propensity for excessive daytime sleepiness independent of lifestyle is associated with cognitive performance in community-dwelling older adults.Frontiers in psychiatry · 2023Article
- Article
- Disease progression in Parkinson's disease patients with subjective cognitive complaint.Annals of clinical and translational neurology · 2021Article
Corrections and comments
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
Abstract
backgroundExcessive 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.
methodsWe 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.
resultsThree 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.
conclusionsThese 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.
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