Sleep structure and cardiometabolic disorders in the general population : the Hypnolaus study

Détails

ID Serval
serval:BIB_121DEC67171A
Type
Actes de conférence (partie): contribution originale à la littérature scientifique, publiée à l'occasion de conférences scientifiques, dans un ouvrage de compte-rendu (proceedings), ou dans l'édition spéciale d'un journal reconnu (conference proceedings).
Sous-type
Abstract (résumé de présentation): article court qui reprend les éléments essentiels présentés à l'occasion d'une conférence scientifique dans un poster ou lors d'une intervention orale.
Collection
Publications
Titre
Sleep structure and cardiometabolic disorders in the general population : the Hypnolaus study
Titre de la conférence
22nd Congress of the European-Sleep-Research-Society, Tallinn, Estonia, SEP 16-20, 2014
Auteur(s)
Haba-Rubio J., Marques-Vidal P., Andries D., Tobback N., Tafti M., Heinzer R., Marques-Vidal P., Waeber G., Preisig M., Vollenweider P., Luca G.
ISBN
0962-1105
Statut éditorial
Publié
Date de publication
09/2014
Peer-reviewed
Oui
Volume
23
Pages
151
Langue
anglais
Notes
Meeting abstract P504. - Publié dans la revue Journal of sleep research, JSR 23 (Suppl. 1),1-331
Résumé
Objectives: Previous studies using subjective assessments have reported associations between sleep quantity and quality and cardiometabolic disorders, but little is known regarding the associ-ations with objective sleep characteristics. The purpose of this study was to evaluate the association between objective sleep measure sand metabolic syndrome (MS), hypertension, diabetes and obesity.
Methods: 2162 subjects (51.2% women, mean age 58,11.1) from the general population were evaluated for hypertension,diabetes, overweight/obesity and MS, and underwent a full polysom-nography (PSG). PSG measured variables included: Total sleep time(TST), percentage and time spent in slow wave sleep (SWS) and in rapid eye movement (REM) sleep, sleep efficiency and arousal index(ArI)
Results: In univariate analyses, MS was associated with decreased TST, SWS, REM sleep, sleep efficiency and increased ArI. After adjustment for age, gender, smoking, alcohol, physical activity, drugsthat affect sleep and depression, the ArI remained significantly higher, but the difference disappeared in subjects without significant sleep disordered breathing (SDB). Differences in sleep structure were also found according to the presence or absence of hypertension, diabetes and overweight/obesity in univariate analysis. However, these differences were attenuated after multivariate adjustment and after excluding subjects with significant SDB. Conclusions: In this population-based sample we found significant associations between sleep structure and MS, hypertension, diabetes and obesity. However, these associations were cancelled after multivariate adjustment. We conclude that normal variations in sleep contribute little if any to MS and associated disorders.
Web of science
Création de la notice
07/04/2015 16:35
Dernière modification de la notice
20/08/2019 12:39
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