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Association between electroencephalogram-based sleep characteristics and physical health in the general adult population.
Iwagami, Masao; Seol, Jaehoon; Hiei, Tetsuro; Tani, Akihiro; Chiba, Shigeru; Kanbayashi, Takashi; Kondo, Hideaki; Tanaka, Takashi; Yanagisawa, Masashi.
Afiliación
  • Iwagami M; International Institute for Integrative Sleep Medicine (IIIS), University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8575, Japan. iwagami-tky@umin.ac.jp.
  • Seol J; Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK. iwagami-tky@umin.ac.jp.
  • Hiei T; Department of Health Services Research, Institute of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8575, Japan. iwagami-tky@umin.ac.jp.
  • Tani A; International Institute for Integrative Sleep Medicine (IIIS), University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8575, Japan.
  • Chiba S; Research Center for Overwork-Related Disorders, National Institute of Occupational Safety and Health, Japan (JNIOSH), Kawasaki, Kanagawa, 214-8585, Japan.
  • Kanbayashi T; R&D Center for Tailor-Made QOL, University of Tsukuba, Tsukuba, Ibaraki, 305-8575, Japan.
  • Kondo H; S'UIMIN Inc., 1-51-1 Hatsudai, Shibuya, Tokyo, 151-0061, Japan.
  • Tanaka T; S'UIMIN Inc., 1-51-1 Hatsudai, Shibuya, Tokyo, 151-0061, Japan.
  • Yanagisawa M; International Institute for Integrative Sleep Medicine (IIIS), University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8575, Japan.
Sci Rep ; 13(1): 21545, 2023 12 08.
Article en En | MEDLINE | ID: mdl-38066043
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.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Hipertensión Límite: Adult / Humans Idioma: En Revista: Sci Rep Año: 2023 Tipo del documento: Article País de afiliación: Japón

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Hipertensión Límite: Adult / Humans Idioma: En Revista: Sci Rep Año: 2023 Tipo del documento: Article País de afiliación: Japón