Relationship between Coffee Consumption and Metabolic Syndrome in Korean Adults: Data from the 2013-2014 Korea National Health and Nutrition Examination Survey.

BACKGROUND: The gradually increasing demand for coffee worldwide has prompted increased interest in the relationship between coffee and health issues as well as a need for research on metabolic syndrome in adults. METHODS: Data from 3,321 subjects (1,268 men and 2,053 women) enrolled in the 2013-2014 Korean National Health and Nutrition Examination Survey were analyzed. The subjects were divided into three groups according to their daily coffee consumption. The odds ratios (ORs) and 95% confidence intervals (95% CIs) for metabolic syndrome in the coffee-drinking groups were calculated using multiple logistic regression analysis by adjusting for confounding variables. RESULTS: The prevalence of metabolic syndrome was 15.5%, 10.7%, and 9.7% in men and 3.0%, 7.1%, and 6.5% in women according to their coffee consumption (less than one, one or two, or more than three cups of coffee per day), respectively. Compared with the non-coffee consumption group, the ORs (95% CIs) for metabolic syndrome in the group that consumed more than three cups of coffee was 0.638 (0.328-1.244) for men and 1.344 (0.627-2.881) for women after adjusting for age, body mass index, household income, education, smoking, alcohol, regular exercise, and daily caloric intake. CONCLUSION: The OR of metabolic syndrome was not statistically significant in both men and women.

Associations of smoking with overall obesity, and central obesity: a cross-sectional study from the Korea National Health and Nutrition Examination Survey (2010-2013).

OBJECTIVES: The association between smoking and obesity is a significant public health concern. Both are preventable risk factors of cardiovascular disease and a range of other conditions. However, despite numerous previous studies, no consensus has emerged regarding the effect of smoking on obesity. We therefore carried out a novel study evaluating the relationship between smoking and obesity. METHODS: A total of 5,254 subjects aged 19 years or older drawn from the 2010-2013 Korea National Health and Nutrition Examination Survey were included in this cross-sectional study. Smoking was examined both in terms of smoking status and the quantity of cigarettes smoked by current smokers. Multiple logistic regression analysis was used to assess the association between smoking and obesity. Overall obesity was defined as a body mass index (BMI) ≥25 kg/m(2), and central obesity was defined as a waist circumference ≥90 cm for males and ≥85 cm for females. We adjusted for the possible confounding effects of age, sex, physical activity, alcohol consumption, and the presence of hypertension or diabetes. RESULTS: A statistically significant difference in central obesity according to smoking status was identified. Current smokers were more likely to be centrally obese than never-smokers (adjusted odds ratio,1.30; 95% confidence interval, 1.02 to 1.67). However, no significant association was found between smoking and obesity defined by BMI. Moreover, among current smokers, no statistically significant association was found between the daily amount of smoking and obesity or central obesity. CONCLUSIONS: Smoking was positively associated with central obesity. Current smokers should be acquainted that they may be more prone to central obesity.