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.
Adult* ; Body Mass Index ; Coffee* ; Confounding Factors (Epidemiology) ; Education ; Energy Intake ; Family Characteristics ; Female ; Humans ; Korea* ; Logistic Models ; Male ; Nutrition Surveys* ; Odds Ratio ; Prevalence ; Smoke ; Smoking ; Waist Circumference

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/m2, 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.
Alcohol Drinking ; Body Mass Index ; Cardiovascular Diseases ; Consensus ; Cross-Sectional Studies* ; Female ; Humans ; Hypertension ; Korea* ; Logistic Models ; Male ; Motor Activity ; Nutrition Surveys* ; Obesity* ; Obesity, Abdominal* ; Public Health ; Risk Factors ; Smoke* ; Smoking* ; Tobacco Products ; Waist Circumference

OBJECTIVE: This study examined the association between the wave form in quantitative electroencephalography (QEEG) and the cognitive and behavioral characteristics measured by the Korean version of Wechsler Intelligence Scale for Children 4th edition (K-WISC-IV), Korean version of the attention deficit/hyperactivity disorder Rating Scale (K-ARS), and Korean version of Child Behavior Checklist (K-CBCL) in children diagnosed with ADHD. METHOD: A retrospective cross-sectional study was performed on children aged 8 to 13 years, who were diagnosed with ADHD at Samsung Medical Center from November 2011 to March 2017. A total of 57 ADHD children were selected by a medical chart review. Their QEEG findings and psychological test results, including K-WISC-IV, K-CBCL, and K-ARS (n=42), were collected. The QEEG was analyzed by the ranges of Hz: delta (1–4 Hz), theta (4–8 Hz), alpha (8–12 Hz), and beta (12–25 Hz) and transformed to the z-scored relative power. The collected data were analyzed using Pearson and Partial correlation analysis. RESULTS: The Letter-Number Sequencing scores of K-WISC was positively correlated with fronto-central alpha. The hyperactivity/impulsivity scores of K-ARS were positively correlated with the theta/beta ratio. Among the items of K-CBCL, social immaturity was positively correlated with delta and theta, and negatively correlated with alpha. Social competence was negatively correlated delta and theta, and positively correlated with alpha. CONCLUSION: These results suggest that the resting state QEEG results of children with ADHD may reflect their cognitive and behavioral characteristics, especially in working memory/executive function, hyperactivity/impulsivity, and sociality.
Checklist ; Child ; Child Behavior ; Cross-Sectional Studies* ; Electroencephalography* ; Humans ; Intelligence ; Methods ; Psychological Tests ; Retrospective Studies* ; Social Skills