| Hee-Kyung Joh | 11 Articles |
Background
Electronic cigarette (EC) consumption (‘vaping’) is rapidly increasing, not only in adults but also in adolescents. Little is known about the association between vaping and problem behaviors such as drinking. Methods We used data from the 11th Korea Youth Risk Behavior Web-based Survey, which was conducted in 2015 and included 68,043 participants who were Korean middle and high school students. The survey assessed EC, cigarette, and alcohol use. Multiple regression analysis was used to examine risk of current drinking and problem drinking across the following categories of users: never user (never used either product), former user (use of EC or cigarettes in the past, but not currently), vaping only, smoking only, and dual user (current use of both products). Results EC only users were 1.2% in males, and 0.3% in females. Dual user of both conventional cigarettes and ECs were 5.1% in males, and 1.2% in females. Drinking frequency, drinking quantity per once, and problem drinking were higher among vapers than non-vapers and former-vapers, moreover, were higher among daily vapers than intermittent vapers. Compared to never users, EC only users were higher on risk of current drink and problem drink. The dual users were highest on risk of current drink. Conclusion Vaping is independently associated with alcohol use problems in Korean students, even those not currently smoking. Moreover, dual use of cigarettes and ECs is strongly associated with alcohol use problems. Therefore, vaping students should be concerned about their hidden alcohol use problems. Citations Citations to this article as recorded by
Background
Cut-off values for visceral fat area (VFA) measured by computed tomography (CT) for identifying individuals at risk of metabolic syndrome (MetS) have not been clearly established in Korean adults, particularly for large populations. We aimed to identify optimal VFA and waist circumference (WC) cut-off values and compare the ability of VFA and WC to predict the presence of ≥2 metabolic risk factors. Methods We included 36,783 subjects aged 19–79 years undergoing abdominal fat CT during regular health checkups between January 2007 and February 2015 in Seoul. The risk factors for MetS except WC were based on the International Diabetes Federation criteria. Receiver operating characteristic curve analyses were used to determine the appropriate VFA and WC cut-off values for MetS. Results VFA was a more significant predictor of metabolic risk factors than WC and body mass index (BMI). The optimal cut-off values for VFA and WC were 134.6 cm2 and 88 cm for men and 91.1 cm2 and 81 cm for women, respectively. We estimated age-specific cut-off values for VFA, WC, and BMI. VFA cut-off values increased with age, particularly among women. Conclusion This large population study proposed the cut-off values for VFA and WC for identifying subjects at risk of MetS among Korean adults. For more accurate diagnosis, different age-specific cut-off values for VFA and WC may be considered. Citations Citations to this article as recorded by
We investigated the association between body composition, especially truncal or non-truncal fat mass (FM), and bone mineral density (BMD) in premenopausal women in Korea. A cross-sectional study was performed using data from the Korea National Health and Nutrition Examination Survey IV and V (2008–2011). Total lean mass (LM), total FM (TFM), truncal FM, and non-truncal FM, and BMD of the total femur, femoral neck (FN), and lumbar spine were measured using dual-energy X-ray absorptiometry. The association between body composition and BMD was analyzed using multiple linear regression. The risk of low BMD according to quartiles of TFM, truncal FM, and non-truncal FM was calculated using logistic regression. Subgroup analysis according to body mass index was also performed. In 4,343 premenopausal women, total LM was positively associated with BMD regardless of weight adjustment. TFM, truncal FM, and non-truncal FM were inversely associated with BMD after adjusting for weight. Odds ratios (ORs) for low BMD and 95% confidence intervals (CIs) of the highest quartile of TFM, truncal FM, and non-truncal FM compared with the lowest quartile were calculated. The risk of low BMD of the FN was higher in the highest quartile of TFM (OR, 4.48; 95% CI, 1.11–18.01) and truncal FM (OR, 5.48; 95% CI, 1.75–17.20). Truncal FM and not-truncal FM had an inverse association with BMD in the non-obese and obese subgroups of women. Total LM has a protective effect on BMD and FM can have a detrimental effect on BMD besides its skeletal loading effect. Citations Citations to this article as recorded by
Sedentary behavior has been shown to have deleterious effects on cardiovascular outcomes. This study aimed to examine the association between sedentary time and cardiovascular risk factors in Korean adults. A cross-sectional study was performed using data from adults aged 19 years and above in the 2013 Korean National Health and Nutrition Examination Survey. Sedentary time was self-reported and categorized into quintiles. Cardiovascular risk factors, including blood pressure (BP), total cholesterol, high-density lipoprotein (HDL) cholesterol, triglycerides, low-density lipoprotein cholesterol, and fasting glucose levels, were categorized into dichotomous variables according to the Adult Treatment Panel III criteria. Multivariate logistic regression was performed with adjustment for various demographic and lifestyle variables, body mass index (BMI), waist circumference (WC), and moderate-to-vigorous physical activity. Complex sampling design was used, and survey weights and sample design variables were applied in analyses. A total of 3,301 individuals were included in the analyses, and mean sedentary time was 6.1 h/d. Prolonged sedentary time was significantly associated with high diastolic BP (top vs. bottom quintile: adjusted odds ratio [OR], 1.71; 95% confidence interval [CI], 1.09–2.68; Ptrend=0.03) and low HDL cholesterol level (top vs. bottom quintile: adjusted OR, 1.42; 95% CI, 1.02–1.98; Ptrend=0.02) after adjustment for BMI, WC, moderate-to-vigorous physical activity, and other variables. No significant associations were found between sedentary time and other cardiovascular risk factors. Prolonged sedentary time was significantly associated with high diastolic BP and low HDL cholesterol level in Korean adults. The associations were independent of general and abdominal obesity and moderate-to-vigorous physical activities. Citations Citations to this article as recorded by
The Korean population is aging rapidly and the number of health threats is increasing. The elderly obese population is also increasing and this study aimed to evaluate the association between body mass index (BMI) and health-related quality of life in the elderly Korean population. The Korean version Medical Outcomes Study 36-Item Short-Form Health Survey (SF-36) was administered to elderly subjects (≥60 years) selected from welfare and health centers, and university hospitals. Sociodemographic information and subjects' height and weight were also recorded. The study population's mean age was 74.2±7.1 years, and the average BMI was 24.5±3.2 kg/m2. The 542 participants were segregated based on BMI quartiles. The SF-36 scores were compared among the sex-stratified quartile groups after adjusting for age, education level, income, smoking, alcohol, and arthritis diagnosis. The SF-36 scores were compared for four BMI quartiles stratified by sex, after adjusting for age, education level, income, smoking, alcohol consumption, and arthritis diagnosis. Men in the Q3 and Q4 groups had higher mental health scores than men in Q2 group. Additionally, men in the Q3 group had higher social function scores than those in the Q2 and Q4 groups. No differences were observed for the remaining six domains; no significant score differences were observed in any of the survey domains for the female subjects. There was no significant association between a high BMI and a low quality of life in the elderly Korean population selected from hospitals and welfare centers, as assessed using the SF-36 scores. Citations Citations to this article as recorded by
Low levels of physical activity can cause various physical symptoms or illness. However, few studies on this association have been conducted in young adults. The aim of this study was to investigate the association between physical activity levels and physical symptoms or illness in young adults. Subjects were university students who participated in a web-based self-administered questionnaire in a university in Seoul in 2013. We obtained information on physical activities and physical symptoms or illness in the past year. Independent variables were defined as symptoms or illness which were associated with decreased academic performance. Logistic regression was performed to calculate odds ratios (ORs) and 95% confidence intervals (CIs) of each physical symptom or illness with adjustment for covariables. A total of 2,201 participants were included in the study. The main physical symptoms or illness among participants were severe fatigue (64.2%), muscle or joint pain (46.3%), gastrointestinal problems (43.1%), headache or dizziness (38.6%), frequent colds (35.1%), and sleep problems (33.3%). Low physical activity levels were significantly associated with high ORs of physical symptoms or illness. Multivariable-adjusted ORs (95% CIs) in the lowest vs. highest tertile of physical activity were 1.45 (1.14–1.83) for severe fatigue, 1.35 (1.07–1.70) for frequent colds, and 1.29 (1.02–1.63) for headaches or dizziness. We also found that lower levels of physical activity were associated with more physical symptoms or bouts of illness. Low physical activity levels were significantly associated with various physical symptoms or illness among university students. Also, individuals in the lower levels of physical activity were more likely to experience more physical symptoms or bouts of illness than those in the highest tertile of physical activity. Citations Citations to this article as recorded by
Enquiry into smoking status and recommendations for smoking cessation is an essential preventive service. However, there are few studies comparing self-reported (SR) and cotinine-verified (CV) smoking statuses, using medical check-up data. The rates of discrepancy and under-reporting are unknown. We performed a cross-sectional study using health examination data from Healthcare System Gangnam Center, Seoul National University Hospital in 2013. We analyzed SR and CV smoking statuses and discrepancies between the two in relation to sociodemographic variables. We also attempted to ascertain the factors associated with a discrepant smoking status among current smokers. In the sample of 3,477 men, CV smoking rate was 11.1% higher than the SR rate. About 1 in 3 participants either omitted the smoking questionnaire or gave a false reply. The ratio of CV to SR smoking rates was 1.49 (95% confidence interval [CI], 1.38–1.61). After adjusting for confounding factors, older adults (≥60 years) showed an increased adjusted odds ratio (aOR) for discrepancy between SR and CV when compared to those in their twenties and thirties (aOR, 5.43; 95% CI, 2.69–10.96). Educational levels of high school graduation or lower (aOR, 2.33; 95% CI, 1.36–4.01), repeated health check-ups (aOR, 1.45; 95% CI, 1.03–2.06), and low cotinine levels of <500 ng/mL (aOR, 2.03; 95% CI, 1.33–3.09), were also associated with discordance between SR and CV smoking status. Omissions and false responses impede the accurate assessment of smoking status in health check-up participants. In order to improve accuracy, it is suggested that researcher pay attention to participants with greater discrepancy between SR and CV smoking status, and formulate interventions to improve response rates. Citations Citations to this article as recorded by
Postmenopausal osteoporosis is a common disease which can cause various morbidity and economic burden. Lactation is known to cause a decline in bone mineral density (BMD), but there are controversies on whether decreased BMD is fully recovered after lactation and whether lactation duration has an influence on postmenopausal BMD. This study was conducted to see whether breastfeeding is associated with postmenopausal bone loss using a highly representative sample of Korean population. Retrospective cross sectional study was done using data collected from Korea National Health and Nutrition Examination Survey V. The study outcome was BMD measured with dual-energy X-ray absorptiometry and divided into 2 groups: normal or low BMD (T score<-1), and breastfeeding duration was categorized into 4 groups (never, 1st, 2nd, and 3rd tertile). Logistic regression analysis was done to examine the association between lactation duration and BMD. Among 1,694 postmenopausal women (mean age, 63.5±9.1), 85.71% were in low BMD group. Compared to never breastfeeding group, postmenopausal women with longer than 79 months of breastfeeding duration are more likely to have low BMD (adjusted risk ratio [ARR]=1.24; 95% confidence interval, 1.17 to 1.32). As the duration of breastfeeding increases, ARR and risk difference for low BMD also increases (P for trend=0.008). The study results showed that total breastfeeding duration was associated with postmenopausal low BMD. All women planning on breastfeeding should be aware of its risks and should take adequate dietary calcium and vitamin D before, during, and after breastfeeding. Citations Citations to this article as recorded by
The effect of dietary fat intake on the risk of cardiovascular disease remains unclear. We investigated the association between dietary fat and specific types of fat intake and the risk of metabolic syndrome. The study population included 1,662 healthy adults who were 50.2 years of age and had no known hypertension, diabetes, hyperlipidemia, or metabolic syndrome at the initial visit. Dietary intake was obtained from a 1-day food record. During 20.7 months of follow-up, we documented 147 cases of metabolic syndrome confirmed by self-report, anthropometric data, and blood test results. The intakes of total fat, vegetable fat, animal fat, saturated fatty acid (SFA), polyunsaturated fatty acid (PUFA), monounsaturated fatty acid (MUFA), and cholesterol level divided by quintile. Multivariate analyses included age, sex, body mass index, smoking status, alcohol intake, physical activity, total calorie, and protein intake. Vegetable fat intake was inversely associated with metabolic syndrome risk (odds ratio for the highest vs. the lowest quintile, 0.33; 95% confidence interval, 0.14 to 0.76). Total fat, animal fat, SFA, PUFA, MUFA, and cholesterol intakes showed no association with metabolic syndrome. Vegetable fat intake was inversely associated with the risk of hypertriglyceridemia among the components of metabolic syndrome. These data support an inverse association between vegetable fat and the risk of metabolic syndrome. Citations Citations to this article as recorded by
Nutrition labels provide various information on the nutrient contents of food. However, despite the recent increase in the interest in dietary intake and expansion of related policies, studies on the association between nutrition label reading and dietary intake are lacking in Korea. This study analyzed the 2007-2009 KNHANES (Korean National Health and Nutrition Examination Survey) data. To examine macronutrients and micronutrients intake according to nutrition label reading, analysis of covariance was used. Multiple logistic regression analysis was also used to examine the association between adherence to dietary reference intake and nutrition label reading. Nutrition label reading was significantly high among women, youth, and those with high education and high household income. Nutrition label reading was associated with higher intake of calcium and vitamin C in men and the lower intake of calorie, carbohydrates and higher energy ratio of protein in women. Additionally, male nutrition label readers were associated with adherence to dietary reference intake of fiber (odds ratio [OR], 2.00; 95% confidence interval [CI], 1.23 to 3.26) and calcium (OR, 1.26; 95% CI, 1.03 to 1.54). In women, there were no significant differences in the adherence to the dietary reference intake in fat, fiber, sodium, potassium, and calcium according to the nutrition label reading. In men, nutrition label reading was associated with healthier intake of several micronutrients, although this was not observed in women. Consideration for clearly reporting vulnerable micronutrients in nutrition labels is necessary. Citations Citations to this article as recorded by
Background
Although breakfast provides essential nutrients and energy, skipping this meal has become increasingly common among young adults in Korea. In this study, we examine the relationship between breakfast consumption and body composition. Methods We analyzed data from 17,763 students aged 18–39 at Seoul National University (2018–2022). Participants were categorized based on their breakfast frequency: non-skippers, 1 to 3-day skippers, and 4 to 7-day skippers. Measurements included body mass index, waist circumference, body fat percentage, fat mass index (FMI), fat-free mass index (FFMI), and skeletal muscle mass index (SMI). Multivariable logistic and linear regression models adjusted for age, sex, alcohol use, smoking, physical activity, sleep, and food consumption frequencies were used. Results Obesity (17.4% vs. 14.8%) and abdominal obesity (10.0% vs. 7.8%) were higher in those skipping breakfast 4 to 7 d/wk compared with non-skippers. Skipping breakfast was not significantly associated with abdominal obesity in either sex. In women, the odds of obesity were higher (odds ratio, 1.57; 95% confidence interval, 1.14–2.15; P=0.006), whereas no significant difference was observed in men. Men who skipped breakfast had increased body fat percentage (coefficient, 0.87; P<0.001) and FMI (coefficient, 0.18; P=0.009) and decreased FFMI and SMI. Women showed increased body fat percentage (coefficient, 0.92; P<0.001) and FMI but no significant differences in FFMI or SMI. Conclusion Skipping breakfast adversely affects body composition by increasing body fat percentage and FMI. Further research is needed to confirm these findings and explore the underlying mechanisms.
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