Objective Sleep Structure and Cardiovascular Risk Factors in the General Population: The HypnoLaus Study.

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Ressource 1Télécharger: BIB_AE921E1CCF82.P001.pdf (364.37 [Ko])
Etat: Public
Version: de l'auteur⸱e
Licence: Non spécifiée
ID Serval
serval:BIB_AE921E1CCF82
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Objective Sleep Structure and Cardiovascular Risk Factors in the General Population: The HypnoLaus Study.
Périodique
Sleep
Auteur⸱e⸱s
Haba-Rubio J., Marques-Vidal P., Andries D., Tobback N., Preisig M., Vollenweider P., Waeber G., Luca G., Tafti M., Heinzer R.
ISSN
1550-9109 (Electronic)
ISSN-L
0161-8105
Statut éditorial
Publié
Date de publication
2015
Peer-reviewed
Oui
Volume
38
Numéro
3
Pages
391-400
Langue
anglais
Résumé
STUDY OBJECTIVES: To evaluate the association between objective sleep measures and metabolic syndrome (MS), hypertension, diabetes, and obesity.
DESIGN: Cross-sectional study.
SETTING: General population sample.
PARTICIPANTS: There were 2,162 patients (51.2% women, mean age 58.4 ± 11.1).
INTERVENTIONS: Patients were evaluated for hypertension, diabetes, overweight/obesity, and MS, and underwent a full polysomnography (PSG).
MEASUREMENTS AND RESULTS: 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). In univariate analyses, MS was associated with decreased TST, SWS, REM sleep, and sleep efficiency, and increased ArI. After adjustment for age, sex, smoking, alcohol, physical activity, drugs that affect sleep and depression, the ArI remained significantly higher, but the difference disappeared in patients 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.
Pubmed
Web of science
Open Access
Oui
Création de la notice
10/04/2015 18:18
Dernière modification de la notice
21/11/2022 8:22
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