BackgroundThe number of internet users is increasing rapidly and internet addiction among adolescents has become a serious public health problem in Korea. In the light of behavioral addiction, this study was aimed to identify the associations between the risk of internet addiction and other problem behaviors which can lead to addiction, such as cigarette smoking, alcohol drinking, drug abuse, and sexual intercourse among a nationally representative sample of Korean adolescents.MethodsData from the 2010 Korean Youth Risk Behavior Web-based Survey (respondents, 73,238) were analyzed. Risk of internet addiction was assessed by the 'Korean Internet Addiction Proneness Scale for Youth-Short Form: Self Report' which was developed by the Korean National Information Society Agency in 2008. Multiple logistic regression analysis was used to calculate the odds ratios of problem behaviors among adolescents at high risk for internet addiction and adolescents at low risk for internet addiction.ResultsThe odds of smoking experience, drug abuse experience, and sexual intercourse experience were significantly higher among boys at high risk for internet addiction compared to boys at low risk for internet addiction. Among girls at high risk of internet addiction, the odds of smoking experience, drinking experience, and drug abuse experience were significantly higher compared with girls at low risk of internet addiction.ConclusionThe risk of internet addiction was associated with cigarette smoking, alcohol drinking, drug abuse, and sexual intercourse experience among Korean adolescents.

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BackgroundRecent studies suggest that coffee consumption has an influence on kidney function. This study investigated the relationship between habitual coffee consumption and renal impairment in Korean women, in consideration of diabetic status.MethodsThis study involved 2,673 women aged 35 to 84 years who had participated in the Fourth Korea National Health and Nutrition Examination Surveys, conducted in 2008. Habitual coffee consumption was classified into three categories: less than 1 cup per day, 1 cup per day, and 2 or more cups per day. Renal function impairment was defined as an estimated glomerular filtration rate less than 60 mL/min/1.73 m2 by the Modification of Diet in Renal Disease equation.ResultsThe prevalence of diabetes and renal function impairment was higher in women who drank < 1 cup of coffee per day. Compared with drinking < 1 cup of coffee per day, the odds ratio (OR) for renal function impairment was significantly lower (OR, 0.59; 95% confidence interval [CI], 0.37 to 0.95; P = 0.03) in those who habitually drank ≥ 2 cups per day after adjusting for multiple confounding factors. When data were stratified according to the presence of diabetes, coffee consumption ≥ 2 cups of coffee per day showed an inverse association with renal function impairment in only diabetic women (OR, 0.14; 95% CI, 0.02 to 0.88; P = 0.04), compared with consumption < 1 cup of coffee per day.ConclusionIn a representative sample of Korean women, coffee consumption was significantly associated with a decreased risk of renal impairment especially in middle and elderly-aged diabetic women.

Atopic dermatitis is a common skin disease in adolescents, which may have a negative effect on the mental and emotional health. We investigated the relationship between atopic dermatitis and suicidal behaviors in Korean adolescents. Participants included 74,186 adolescents (38,221 boys and 35,965 girls) in middle and high school who completed the Eighth Korea Youth Risk Behavior Web-Based Survey. There were significant associations between atopic dermatitis and suicidal behaviors for girls. The overestimation of weight perception might have an additive impact on suicidal risk among girls. However, there were no significant associations between atopic dermatitis and suicidal behaviors in boys.

BackgroundPrevious studies reported mixed results regarding the association between cognition and body weight in late life. We evaluated the relationships between cognitive function and body composition among community-dwelling older adults.MethodsThree hundred twenty subjects (≥65 years, women 53%) with available data of cognitive function and body composition from 2010 Hallym Aging Study. Cognitive function was assessed using Korean Mini-Mental State Examination (K-MMSE). Dual-energy X-ray absorptiometry (DEXA) was used for measuring body composition including body fat and lean body mass. Anthropometric measurements and laboratory data were collected in clinical examination. Body composition variables were divided into sex-specific tertiles, and examined by multivariable logistic regression.ResultsAmong female, the highest tertile group of fat mass and second tertile group of total lean body mass were associated with lower risk for cognitive impairment compared to the respective first tertile groups (odds ratios, 0.23 and 0.09, respectively; 95% confidence intervals, 0.04–0.88 and 0.01–0.44, respectively) after adjusting for confounding factors. In male, higher arm bone mineral content was associated with lower risk for cognitive impairment, but significance was lost after adjusting for adiponectin, age, and education.ConclusionsHigher fat mass and lean body mass were associated with lower risk of cognitive impairment in older women. These observations suggest that body fat and lean mass later in life might be beneficial for cognition.Electronic supplementary materialThe online version of this article (10.1186/s12877-017-0651-9) contains supplementary material, which is available to authorized users.

Associations between body mass index (BMI), body fat percentage (BF%), and health risks differ between Asian and European populations. BMI is commonly used to diagnose obesity; however, its accuracy in detecting adiposity in Koreans is unknown. The present cross-sectional study aimed at assessing the accuracy of BMI in determining BF%-defined obesity in 6,017 subjects (age 20-69 yr, 43.6% men) from the 2009 Korean National Health and Nutrition Examination Survey. We assessed the diagnostic performance of BMI using the Western Pacific Regional Office of World Health Organization reference standard for BF%-defined obesity by sex and age and identified the optimal BMI cut-off for BF%-defined obesity using receiver operating characteristic curve analysis. BMI-defined obesity (≥25 kg/m2) was observed in 38.7% of men and 28.1% of women, with a high specificity (89%, men; 84%, women) but poor sensitivity (56%, men; 72% women) for BF%-defined obesity (25.2%, men; 31.1%, women). The optimal BMI cut-off (24.2 kg/m2) had 78% sensitivity and 71% specificity. BMI demonstrated limited diagnostic accuracy for adiposity in Korea. There was a -1.3 kg/m2 difference in optimal BMI cut-offs between Korea and America, smaller than the 5-unit difference between the Western Pacific Regional Office and global World Health Organization obesity criteria.Graphical Abstract

This meta-analysis aimed to assess the weight loss effects of circuit training interventions in adults. A computerized search was conducted using the Cochrane Central Register of Controlled Trials, PubMed, and EMBASE online databases. The analysis was restricted to randomized controlled trials that evaluated the effects of circuit training interventions on body weight and body mass index in adults aged 18 years or older. Meta-analyses were conducted using the random-effect model to estimate the weighted mean difference (WMD) with 95% confidence interval (CI). Nine randomized controlled trials (837 participants) were included. Significant intervention effects were identified for body weight (WMD = −3.81 kg, 95% CI −5.60 to −2.02) and body mass index (WMD = −1.77 kg/m 2 , 95% CI −2.49 to −1.04). Subgroup analysis by body mass index status showed that the intervention effect was significant only in participants with obesity or overweight (obesity: WMD = −5.15 kg, 95% CI −8.81 to −1.50 and overweight: WMD = −3.89 kg, 95% CI −7.00 to −0.77, respectively) but not in those with normal weight. Current evidence suggests that circuit training effectively reduces body weight and body mass index in adults with overweight and obesity. KEYWORDS circuit training, exercise, weight, obesity 1 | INTRODUCTIONThe global prevalence of obesity has considerably increased in recent decades. Globally, in 2016, 13% of adults aged 18 years or older (11% in men; 15% in women) had obesity, and 39% of adults aged 18 years or older (39% in men; 40% in women) were overweight. 1,2 The main cause of overweight and obesity is the energy imbalance between calorie intake and calorie consumption. Globally, the intake of energydense or high-fat foods has increased. Moreover, physical inactivity has increased owing to the increase in sedentary work, changes in the means of transportation, and increased urbanization. 2

BackgroundPrognosis in Palliative Care Study (PiPS) predictor models were developed in 2011 to estimate the survival of terminal cancer patients in the United Kingdom. The aim of this study was to validate the PiPS model for terminal cancer patients in Korea, and evaluate its value in clinical practice.MethodsThis study included 202 advanced cancer patients who were admitted to the cancer hospital's palliative care ward from November 2011 to February 2013. On admission, physicians recorded the PiPS-A, PiPS-B, and doctor's survival estimates in inpatients.ResultsThe median survival across PiPS-A categories was 9, 28, and 33 days, and the median survival across PiPS-B was 9.5, 27, and 43 days. The median actual survival was 25 days; overall accuracy between the PiPS-A, PiPS-B, doctor's estimates of survival, and actual survival was 52.0%, 49.5%, and 46.5%, respectively. The PiPS-A and PiPS-B groups for survival in 'days' showed a sensitivity of 48.4% and 64.1%, and specificity of 87.7%, and 77.5%, respectively. The PiPS-A and PiPS-B groups for survival in 'weeks' showed a sensitivity of 59.2%, and 44.7%, and specificity of 61.6%, and 64.7%, respectively. The PiPS-A and PiPS-B 'months' group showed a sensitivity of 37.1% and 37.1%, and specificity of 74.9% and 78.4%, respectively. The 'weeks' and 'months' groups showed significantly prolonged survival rates than 'days' group did in both PiPS-A and PiPS-B, by the Kaplan-Meier method.ConclusionThe PiPS predictor models effectively predicted the survival ≥14 days in terminal cancer patients, and were superior to doctor's estimates.