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

Details

Ressource 1Download: BIB_AE921E1CCF82.P001.pdf (364.37 [Ko])
State: Public
Version: author
Serval ID
serval:BIB_AE921E1CCF82
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Objective Sleep Structure and Cardiovascular Risk Factors in the General Population: The HypnoLaus Study.
Journal
Sleep
Author(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
Publication state
Published
Issued date
2015
Peer-reviewed
Oui
Volume
38
Number
3
Pages
391-400
Language
english
Abstract
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
Yes
Create date
10/04/2015 19:18
Last modification date
20/08/2019 16:18
Usage data