Associations of sleep duration and prediabetes prevalence in a middle-aged and elderly Chinese population with regard to age and hypertension: The China Health and Retirement Longitudinal Study baseline survey

J Diabetes. 2018 Nov;10(11):847-856. doi: 10.1111/1753-0407.12662. Epub 2018 Apr 26.

Abstract

Background: The aim of the present study was to examine the age-specific associations between self-reported sleep duration and prevalent prediabetes in middle-aged and elderly Chinese with or without hypertension.

Methods: In all, 2985 Chinese adults aged ≥45 years from the China Health and Retirement Longitudinal Study (CHARLS) baseline survey were selected for analysis. Sleep duration was assessed by structured questionnaires and then categorized into three groups (≤6, 6-8, and >8 h). The prevalence of prediabetes was defined using fasting plasma glucose (100-125 mg/dL) and/or HbA1c (5.7%-6.4%) in conjunction with no previous diabetes diagnosis and no antidiabetic medication. Relationships between self-reported sleep duration and prevalent prediabetes were examined according to age (45-60 years, middle-aged; ≥60 years, elderly) and hypertension groups using Poisson regression models to estimate prevalence ratios (PRs) and 95% confidence intervals (CI).

Results: Compared with the reference group of 6-8 h sleep/night, short sleep (≤6 h/night) was associated with an increased risk of prediabetes in the whole sample (PR 1.09, 95% CI 1.01-1.17) after adjusting for confounders. This association was more pronounced in elderly participants without hypertension (PR 1.27, 95% CI 1.07-1.51).

Conclusion: This study suggests that participants with a short sleep period are at a moderately increased risk of prediabetes, particularly in elderly subjects without hypertension. Aging and hypertension may be important in the relationship between short sleep and impaired glucose metabolism.

Keywords: aging; hypertension; prediabetes; prevalence; sleep duration; 患病率; 睡眠时长; 糖尿病前期; 老龄化; 高血压.

MeSH terms

  • Age Factors
  • Aging*
  • Biomarkers / blood
  • Blood Glucose / metabolism
  • Blood Pressure*
  • China / epidemiology
  • Cross-Sectional Studies
  • Female
  • Health Surveys
  • Humans
  • Hypertension / diagnosis
  • Hypertension / epidemiology*
  • Hypertension / physiopathology
  • Longitudinal Studies
  • Male
  • Middle Aged
  • Prediabetic State / blood
  • Prediabetic State / diagnosis
  • Prediabetic State / epidemiology*
  • Prevalence
  • Protective Factors
  • Retirement
  • Risk Factors
  • Risk Reduction Behavior
  • Sleep Wake Disorders / diagnosis
  • Sleep Wake Disorders / epidemiology*
  • Sleep Wake Disorders / physiopathology
  • Sleep*
  • Time Factors

Substances

  • Biomarkers
  • Blood Glucose