ArticleScientific reports2023
Association between electroencephalogram-based sleep characteristics and physical health in the general adult population.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed, 15 citations in OpenAlex.
- Subjective and objective quality of sleep with radiant or convection cooling systems: a randomized, cross-over trial.Scientific reports · 2025Trial
- Effects of plain water intake before bedtime on sleep and depressive mood among middle-aged Japanese men.PloS one · 2026Article
- A review of sleep-related indicators measured in large population-based cohort studies in Japan.Environmental health and preventive medicine · 2026Review
- Relationship Among Macronutrients, Dietary Components, and Objective Sleep Variables Measured by Smartphone Apps: Real-World Cross-Sectional Study.Journal of medical Internet research · 2025Article
- Discrepancies between subjective and objective sleep assessments revealed by in-home electroencephalography during real-world sleep.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Increased relative abundance ofFrontiers in sleep · 2025Article
- Granola consumption with multiple prebiotics in Japanese participants increasesFrontiers in nutrition · 2025Article
- Electroencephalogram of Normotensive Individuals During Sitting and Standing Blood Pressure Measurement Positions.Cureus · 2024Article
- Validation of sleep-staging accuracy for an in-home sleep electroencephalography device compared with simultaneous polysomnography in patients with obstructive sleep apnea.Scientific reports · 2024Article
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Authors and funding
9 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We examined the associations between electroencephalogram (EEG)-based sleep characteristics and physical health parameters in general adults via a cross-sectional study recruiting 100 volunteers aged 30-59 years. Sleep characteristics were measured at home using a portable multichannel electroencephalography recorder. Using the k-means + + clustering method, according to 10 EEG-based parameters, participants were grouped into better (n = 39), middle (n = 46), and worse (n = 15) sleep groups. Comparing 50 physical health parameters among the groups, we identified four signals of difference (P < 0.05), including systolic (sBP) and diastolic blood pressure (dBP), γ-glutamyl transpeptidase (γ-GTP), and serum creatinine, where sBP reached a Bonferroni-corrected threshold (P < 0.001). The sBP was higher by 7.9 (95% confidence interval 1.9-13.9) and 15.7 (7.3-24.0) mmHg before adjustment and 5.4 (- 0.1-10.9) and 8.7 (1.1-16.3) mmHg after adjustment for age, sex, body mass index, smoking, drinking habits, and 3% oxygen desaturation index in the middle and worse sleep groups, respectively, than in the better group. As another approach, among 500 combinations of EEG-based and physical health parameters, there were 45 signals of correlation, of which 4 (N1% and sBP, dBP, γ-GTP, and triglycerides) reached a Bonferroni-corrected threshold (P < 0.0001). Thus, EEG-based sleep characteristics are associated with several physical health parameters, particularly sBP.
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