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Association between electroencephalogram-based sleep characteristics and physical health in the general adult population

Masao Iwagami, Jaehoon Seol, Tetsuro Hiei, Akihiro Tani, Shigeru Chiba, Takashi Kanbayashi, Hideaki Kondo, Takashi Tanaka, Masashi Yanagisawa

2023Scientific Reports15 citationsDOIOpen Access PDF

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.

Topics & Concepts

ElectroencephalographyBonferroni correctionBody mass indexMedicineConfidence intervalBlood pressureSleep (system call)Cross-sectional studyPopulationInternal medicineAudiologyStatisticsPsychiatryMathematicsPathologyEnvironmental healthOperating systemComputer scienceEEG and Brain-Computer InterfacesHeart Rate Variability and Autonomic ControlSleep and Wakefulness Research