Association of sleep duration with Alzheimer's disease and cognition.
Authors
Affiliations (13)
Affiliations (13)
- Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for AI and Data Science for Integrated Diagnostics (AI2D), Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
- Laboratory of AI and Biomedical Science (LABS), Columbia University, New York, New York, USA.
- Department of Internal Medicine, Yale School of Medicine, Yale University, New Haven, Connecticut, USA.
- Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, New York, USA.
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Department of Neurology, Columbia University, New York, New York, USA.
- Department of Radiology, Columbia University, New York, New York, USA.
- Center for Innovation in Imaging Biomarkers and Integrated Diagnostics (CIMBID), Department of Radiology, Columbia University, New York, New York, USA.
- Department of Biomedical Engineering, Columbia University, New York, New York, USA.
- Cleveland Clinic Genome Center, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA.
- Division of Pulmonary, Allergy, and Critical Care Medicine, Columbia University, New York, New York, USA.
- Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA.
- New York Genome Center (NYGC), New York Genome Center (Independent Consortium), New York, New York, USA.
- Department of Computer Science, Columbia University, New York, New York, USA.
Abstract
The association of sleep duration with Alzheimer's disease (AD) - related brain atrophy and cognition remains unclear. Among 38,816 participants in the UK Biobank, we examined the association between sleep duration and a validated machine-learning-derived magnetic resonance imaging (MRI) signature of AD-related atrophy (Spatial Pattern of Abnormality for Recognition of Early AD [SPARE-AD]) and three cognitive test scores using generalized additive models. Independently, electronic health records (EHR) from TriNetX were used to examine the 10-year AD risk associated with insomnia and hypersomnia. Sleep duration exhibited a U-shaped association with SPARE-AD (p = 0.001), Trail Making Tests A and B, and the Digit Symbol Substitution Test (all p < 0.001). Short (5-6 hours) and long (9-10 hours) sleep duration were associated with poorer cognitive performance. Both insomnia and hypersomnia showed a high risk for Alzheimer's disease. This study demonstrates a U-shaped association between sleep duration and AD-like atrophy and cognition. These findings show that excessive or insufficient sleep is linked to worse brain health.