Literature DB >> 29128435

Association between obesity and self-reported sleep duration variability, sleep timing, and age in the Japanese population.

Nobuo Sasaki1, Saeko Fujiwara2, Hidehisa Yamashita3, Ryoji Ozono4, Yuko Monzen2, Kazushi Teramen5, Yasuki Kihara6.   

Abstract

OBJECTIVE: The objective of this study was to investigate the association between obesity and sleep habits, including bedtime, wake-up time, and sleep duration variability over a week.
METHODS: We analyzed 9289 participants in this study. Following a health examination, each participant self-reported their sleep habits using a standardized 19-item questionnaire. High sleep duration variability was defined as sleep varying ≥3h of the difference between the longest and shortest sleep durations reported over a week-long period. Late bedtime and early wake-up time were defined as 24:00h or later, and before 6:00h, respectively. Obesity was defined as a body mass index (BMI) of ≥25kg/m2. Subgroup analysis included age (younger group defined as age <65 years vs. elderly group defined as age ≥65 years).
RESULTS: After adjusting for confounding factors and sleep duration, high sleep duration variability [odds ratio (OR), 1.20; p<0.005] was significantly associated with a high OR of obesity. Late bedtime (OR, 1.18; p<0.01) was significantly associated with a high OR of obesity, whereas early wake-up was not. In the subgroup analysis, high sleep duration variability had a significant association with the younger group (OR, 1.25; p<0.001), whereas late bedtime had a significant association with the elderly group (OR, 1.36; p<0.005).
CONCLUSIONS: Inappropriate sleep habits, particularly high sleep duration variability in young individuals and late bedtime in the elderly, are associated with a high prevalence of obesity, independently of sleep duration.
Copyright © 2017 Asia Oceania Association for the Study of Obesity. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Bedtime; Body mass index; Obesity; Sleep; Sleep variability

Mesh:

Year:  2017        PMID: 29128435     DOI: 10.1016/j.orcp.2017.10.008

Source DB:  PubMed          Journal:  Obes Res Clin Pract        ISSN: 1871-403X            Impact factor:   2.288


  9 in total

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3.  Sleep Timing May Predict Congestive Heart Failure: A Community-Based Cohort Study.

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Journal:  Int J Obes (Lond)       Date:  2021-01-07       Impact factor: 5.095

6.  Effects of sleep habits on acute myocardial infarction risk and severity of coronary artery disease in Chinese population.

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7.  Predictors of weight loss in obese patients with obstructive sleep apnea.

Authors:  Thomas J Altree; Delwyn J Bartlett; Nathaniel S Marshall; Camilla M Hoyos; Craig L Phillips; Callum Birks; Aran Kanagaratnam; Anna Mullins; Yasmina Serinel; Keith K H Wong; Brendon J Yee; Ronald R Grunstein; Elizabeth A Cayanan
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8.  Timing and Length of Nocturnal Sleep and Daytime Napping and Associations With Obesity Types in High-, Middle-, and Low-Income Countries.

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Journal:  JAMA Netw Open       Date:  2021-06-01

9.  Sleeping Difficulty and Subjective Short Sleep Duration are Associated with Serum N-terminal Pro-brain Natriuretic Peptide Levels in the Elderly Population.

Authors:  Nobuo Sasaki; Hideya Yamamoto; Ryoji Ozono; Ryo Maeda; Yasuki Kihara
Journal:  Intern Med       Date:  2020-06-15       Impact factor: 1.271

  9 in total

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