BACKGROUND: The definition of sarcopenia focuses on muscle mass and function. Sarcopenic obesity is the relative excess of fat tissue with decreased muscle mass. We examined the association between cigarette smoking and sarcopenia according to obesity in middle-aged and elderly Koreans. METHODS: We conducted a cross-sectional study of 9,385 subjects (age ≥50 years) based on data from the fourth and fifth Korea National Health and Nutrition Examination Surveys (2008–2011). Smoking groups were categorized by smoking status and the number of cigarettes smoked daily. Sarcopenia was defined as weight-adjusted appendicular skeletal muscle mass of 2 standard deviations below the sex-specific mean for young adults. Obesity was defined as fat mass ≥30% for men and ≥40% for women. Subjects were categorized into three groups: sarcopenic obese (SO), sarcopenic non-obese (SNO), and normal. Multiple logistic regression analysis was performed to assess the association between smoking and SNO and SO. RESULTS: Among men, current smokers were more associated with SNO than never-smokers (adjusted odds ratio [OR], 3.34; 95% confidence interval [CI], 1.09–10.26). However, there was no significant association between smoking status and SNO in women or SO in either sex. Among current smokers, moderate smokers (11–20 cigarettes/d) were more likely to be SNO (adjusted OR, 5.81; 95% CI, 1.12–30.31) and heavy smokers (>20 cigarettes/d) were more likely to be SO (adjusted OR, 9.53; 95% CI, 1.65–55.01) than light smokers (<11 cigarettes/d). CONCLUSION: In men, smoking was positively associated with SNO, and heavy smokers were more likely to be SO than light smokers.
Aged ; Cross-Sectional Studies ; Female ; Humans ; Korea ; Logistic Models ; Male ; Muscle, Skeletal ; Nutrition Surveys ; Obesity ; Odds Ratio ; Sarcopenia ; Smoke ; Smoking ; Tobacco Products ; Young Adult

BACKGROUND: Though several factors have been found to be associated with depression, yet many others remain uncovered. A few studies have focused on the correlation between smoking and depression. This study was designed to explore whether there was a relationship between smoking and depression in a Korean adult group.METHODS: This study was based on the 2014 data of 17,780 Koreans obtained from the sixth Korea National Health and Nutrition Examination Survey (KNHNES, 2013–2015). The participants' depression status was evaluated based on their responses to survey. The correlation between smoking and depression was examined using multiple linear regression analysis after adjusting confounders. The result was represented as correlation factors, and a P-value of less than 0.05 was considered statistically significant.RESULTS: Our study revealed higher depression prevalence in the current smoker group as compared to non-smokers and ex-smokers and this difference was statistically significant.CONCLUSION: Smoking status was statistically significantly related to depression. Among the three smoking status groups, the current smoker group had the highest prevalence of depression. Hence s stopping smoking was considered to be effective and important to prevent depression.
Adult ; Depression ; Humans ; Korea ; Linear Models ; Nutrition Surveys ; Prevalence ; Smoke ; Smoking