The association between sleep duration and lipid profiles: the NHANES 2013-2014.

Generalized additive model High density lipoprotein Low density lipoprotein Sleep Triglyceride

Journal

Journal of diabetes and metabolic disorders
ISSN: 2251-6581
Titre abrégé: J Diabetes Metab Disord
Pays: Switzerland
ID NLM: 101590741

Informations de publication

Date de publication:
Dec 2019
Historique:
received: 11 09 2018
accepted: 27 05 2019
entrez: 1 1 2020
pubmed: 1 1 2020
medline: 1 1 2020
Statut: epublish

Résumé

In the current literature, the association between sleep and different lipids is inconsistent. We aimed to assess the association of sleep with HDL cholesterol, triglyceride, and LDL cholesterol in the National Health and Nutrition Examination Survey (NHANES), 2013/2014. We included 2705 participants from NHANES, 2013/2014. Cross-sectional information was measured on sleep duration and HDL cholesterol/triglyceride/LDL cholesterol. Generalized additive models (GAM) were constructed to assess the smooth relationship between the HDL cholesterol/triglyceride/LDL cholesterol, and the sleep duration. Models were adjusted for age, sex, race, marital status, household size, sitting time and physical activity. Effective degree of freedom (EDF) value in GAM indicated the amount of non-linearity of the smooth. EDF = 1 was indicative of a linear pattern of association. A value greater than 1 denoted a more complex association between outcome and sleep duration. The highest mean HDL cholesterol level was observed in participants sleeping 8 h/day. There was a significant non-linear association between sleep duration and HDL cholesterol in unadjusted GAM (EDF = 2.58, Short sleep duration was associated with low HDL cholesterol/high triglyceride. Further longitudinal studies are warranted to shed extra light on this relationship.

Sections du résumé

BACKGROUND BACKGROUND
In the current literature, the association between sleep and different lipids is inconsistent. We aimed to assess the association of sleep with HDL cholesterol, triglyceride, and LDL cholesterol in the National Health and Nutrition Examination Survey (NHANES), 2013/2014.
METHODS METHODS
We included 2705 participants from NHANES, 2013/2014. Cross-sectional information was measured on sleep duration and HDL cholesterol/triglyceride/LDL cholesterol. Generalized additive models (GAM) were constructed to assess the smooth relationship between the HDL cholesterol/triglyceride/LDL cholesterol, and the sleep duration. Models were adjusted for age, sex, race, marital status, household size, sitting time and physical activity. Effective degree of freedom (EDF) value in GAM indicated the amount of non-linearity of the smooth. EDF = 1 was indicative of a linear pattern of association. A value greater than 1 denoted a more complex association between outcome and sleep duration.
RESULTS RESULTS
The highest mean HDL cholesterol level was observed in participants sleeping 8 h/day. There was a significant non-linear association between sleep duration and HDL cholesterol in unadjusted GAM (EDF = 2.58,
CONCLUSION CONCLUSIONS
Short sleep duration was associated with low HDL cholesterol/high triglyceride. Further longitudinal studies are warranted to shed extra light on this relationship.

Identifiants

pubmed: 31890656
doi: 10.1007/s40200-019-00415-0
pii: 415
pmc: PMC6914752
doi:

Types de publication

Journal Article

Langues

eng

Pagination

315-322

Informations de copyright

© Springer Nature Switzerland AG 2019.

Déclaration de conflit d'intérêts

Conflict of interestThe authors declared that they have no conflict of interest.

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Auteurs

Abbas Smiley (A)

Department of Epidemiology and Biostatistics, School of Public Health, Indiana University, 1025 E 7th St., Bloomington, IN 47405 USA.

David King (D)

Department of Epidemiology and Biostatistics, School of Public Health, Indiana University, 1025 E 7th St., Bloomington, IN 47405 USA.

Jaroslaw Harezlak (J)

Department of Epidemiology and Biostatistics, School of Public Health, Indiana University, 1025 E 7th St., Bloomington, IN 47405 USA.

Paul Dinh (P)

Department of Epidemiology and Biostatistics, School of Public Health, Indiana University, 1025 E 7th St., Bloomington, IN 47405 USA.

Aurelian Bidulescu (A)

Department of Epidemiology and Biostatistics, School of Public Health, Indiana University, 1025 E 7th St., Bloomington, IN 47405 USA.

Classifications MeSH