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Erschienen in: Sleep and Breathing 4/2022

15.11.2021 | Sleep Breathing Physiology and Disorders • Original Article

Relationship between self-reported sleep duration during week-/work-days and metabolic syndrome from NHANES 2013 to 2016

verfasst von: Xiaojie Feng, Wentao Wu, Fanfan Zhao, Xiang Li, Didi Han, Chengzhuo Li, Fengshuo Xu, Jun Lyu

Erschienen in: Sleep and Breathing | Ausgabe 4/2022

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Abstract

Purpose

This research aimed at determining the relationship between self-reported sleep duration during week-/work-days and metabolic syndrome (MetS) from NHANES 2013 to 2016.

Methods

This study analyzed data from 11,181 people aged 16 or older who took part in the NHANES (National Health and Nutrition Examination Surveys) from 2013 to 2016. A standard questionnaire was used to define self-reported sleep duration, and MetS was defined on the basis of the NCEP (National Cholesterol Education Program)/ATP III revised diagnostic criteria. Logistic regression and restricted cubic splines (RCS) models were used to assess the relationship between self-reported sleep duration and MetS.

Results

The overall prevalence of MetS in the study cohort was 26.1%, with 24.8% for males and 27.3% for females. After adjusting for potential confounding factors, MetS was significantly associated with self-reported short sleep duration (odds ratio = 1.16, 95% confidence interval = 1.03–1.31, P = 0.013) but not with long sleep duration (P = 0.117). RCS regression revealed that self-reported sleep duration was nonlinearly related to MetS (P for nonlinearity = 0.0026). The risk of MetS decreased with increased sleep duration for durations of less than 7 h/day, while there was no association for longer sleep durations.

Conclusion

These results suggest that self-reported short sleep duration is a risk factor for MetS, while long sleep duration is not.
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Metadaten
Titel
Relationship between self-reported sleep duration during week-/work-days and metabolic syndrome from NHANES 2013 to 2016
verfasst von
Xiaojie Feng
Wentao Wu
Fanfan Zhao
Xiang Li
Didi Han
Chengzhuo Li
Fengshuo Xu
Jun Lyu
Publikationsdatum
15.11.2021
Verlag
Springer International Publishing
Erschienen in
Sleep and Breathing / Ausgabe 4/2022
Print ISSN: 1520-9512
Elektronische ISSN: 1522-1709
DOI
https://doi.org/10.1007/s11325-021-02522-w

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