Long Sleep Duration is Associated With Sarcopenia in Korean Adults Based on Data from the 2008-2011 KNHANES

J Clin Sleep Med. 2017 Sep 15;13(9):1097-1104. doi: 10.5664/jcsm.6732.

Abstract

Study objectives: Sarcopenia, or loss of muscle mass, occurs with aging and results in frailty, disability, cardiovascular disease, and insulin resistance. Recently, researchers have asserted that sarcopenia is not an inevitable process, but is a modifiable condition. Adequate sleep duration is also important to maintain good physical and mental health. Therefore, the aim of our study was to examine the association between sleep duration and sarcopenia in Korean adults.

Methods: Data from 16,148 participants (7,158 men and 8,990 women) were analyzed from the 2008-2011 Korean National Health and Nutrition Examination Survey (KNHANES). We defined sarcopenia as one standard deviation below the sex-specific means of the appendicular skeletal muscle/height-squared values of a young reference group. Participants were categorized into 5 groups according to sleep duration. The odds ratios (OR) and 95% confidence intervals (95% CI) for sarcopenia according to sleep duration were calculated using multiple logistic regression analysis.

Results: The prevalence of sarcopenia was 14.3% in the total population (males 18.7%, females 9.7%). Compared to the 7 hours of sleep group, the OR (95% CI) for sarcopenia of the long sleep duration group (9 hours or more) was 1.589 (1.100-2.295) after controlling for confounding factors. From the results of subgroup analysis, high-risk groups for sarcopenia are as follows: 40-64 years old (OR = 1.868), normal body mass index (OR = 1.516), smoking (OR = 2.219), no regular exercise (OR = 1.506) in long sleepers.

Conclusions: Long sleep duration (9 hours or longer) is independently associated with sarcopenia in Korean adults.

Keywords: inflammation; insulin resistance; sarcopenia; sleep duration.

MeSH terms

  • Absorptiometry, Photon / methods
  • Adult
  • Age Factors
  • Female
  • Health Surveys / methods*
  • Health Surveys / statistics & numerical data*
  • Humans
  • Male
  • Middle Aged
  • Republic of Korea
  • Sarcopenia / diagnostic imaging*
  • Sarcopenia / physiopathology*
  • Sleep / physiology*
  • Time Factors