Association Between Late Bedtime and Diabetes Mellitus: A Large Community-Based Study

J Clin Sleep Med. 2019 Nov 15;15(11):1621-1627. doi: 10.5664/jcsm.8026.

Abstract

Study objectives: The aim of this study was to investigate the association of bedtime with the prevalence of diabetes mellitus (DM) based on a large community-based population.

Methods: In total, 5,420 participants (2,574 males and 2,846 females; aged 63.5 ± 11.0 years) from the Sleep Heart Health Study database were selected in this study. Sleep habit was recorded based on a questionnaire administered to patients upon recruitment. Bedtime was categorized as 11:00 pm and before, 11:00 pm to 12:00 am, and 12:00 am and later in the current study. Multivariate logistic regression was used to estimate the odds ratios (ORs) and 95% confidence intervals (CIs) to determine the relationship between bedtime and the prevalence of DM.

Results: The distribution of weekday bedtime at 11:00 pm and before, 11:00 pm to 12:00 am, 12:00 am and later was observed in 3,316 participants (61.2%), 991 participants (18.3%), and 1,113 participants (20.5%), respectively. Meanwhile, individuals with weekday bedtime of 12:00 am and later had a higher prevalence of DM than those with bedtime at 11:00 pm to 12:00 am, and 11:00 pm and before (10.6% versus 5.7% versus 6.6%, respectively; P < .001). In the adjusted multivariate logistic regression model, bedtime at 12:00 am and later on a weekday was significantly associated DM prevalence (OR 1.446, 95% CI 1.107-1.888, P = .007). No significant association was found between weekend bedtime and DM.

Conclusion: Late bedtime at 12:00 am and later on a weekday may be a risk factor for the prevalence of DM. Stable sleep timing leads to lower risk of DM deserves future exploration.

Keywords: Sleep Heart Health Study; bedtime; diabetes mellitus; sleep habits.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Diabetes Mellitus / etiology*
  • Female
  • Humans
  • Logistic Models
  • Male
  • Middle Aged
  • Risk Factors
  • Sleep*
  • Time Factors