Association between Sleep Duration and Overweight/Obesity at Age 7⁻18 in Shenyang, China in 2010 and 2014

Int J Environ Res Public Health. 2018 Apr 25;15(5):854. doi: 10.3390/ijerph15050854.

Abstract

This study was designed to examine the association between sleep duration and being overweight/obese in primary, middle, and high school students. This was a multiple cross-sectional study using data from the 2010 and 2014 National Survey on Students&rsquo; Constitution and Health (CNSSCH). A total of 23,602 students aged 7⁻18 years were enrolled in this study. The prevalence of being overweight and obese&mdash;stratified by age, gender, and sleep duration&mdash;in 2010 and 2014 were compared. Sleep duration was categorized as <7 h, &ge;7 to 8 h, &ge;8 to 9 h, and &ge;9 h. Overweight and obesity were defined according to the cut-point criteria in China. Multivariable logistic regression results in 2010 and 2014 revealed that students sleeping <7 h and aged 7⁻12 years had an increased risk of becoming overweight/obese. In 2010, the adjusted prevalence ratios of overweight for 7⁻12-year-old students sleeping <9 h was 1.196 (95%CI: 1.004⁻1.424) and 13⁻15-year-old students sleeping <8 h was 1.265 (95%CI: 1.023⁻1.565). In 2014, the adjusted prevalence ratios of overweight and obesity for 7⁻12-year-old students sleeping <9 h were 1.295 (95%CI: 1.091⁻1.537) and 1.231 (95%CI: 1.045⁻1.449); 16⁻18-year-old students sleeping <7 h were 1.530 (95%CI: 1.239⁻1.888) and 1.585 (95%CI: 1.270⁻2.081). Our study revealed that different levels of sleep curtailment increased the risk of becoming overweight/obesity in different age groups of students.

Keywords: adolescent; children; obesity; overweight; sleep duration.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Child
  • China / epidemiology
  • Cross-Sectional Studies
  • Female
  • Humans
  • Logistic Models
  • Male
  • Overweight / epidemiology*
  • Pediatric Obesity / epidemiology*
  • Prevalence
  • Sleep / physiology*
  • Students / statistics & numerical data