• Biomedical Science Letters
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• v.29 no.4
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• pp.355-362
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• 2023

This study aimed to determine whether smoking affects the metabolic syndrome and its components through long-term follow-up. Of the 10,030 cohort subjects in the community-based Korean Genome and Epidemiology Study (KoGES) from 2001 to 2018, 2,848 people with metabolic syndrome and 4,854 people with insufficient data for analysis were excluded for this study. The study population comprised 2,328 individuals (1,123 men, 1,205 women) who were eligible for inclusion. The mean age of the participants was 49.2±7.5 years, and 21.9% were current smoker. In log rank test, current smoker had a significantly higher cumulative incidence of metabolic syndrome compared with non smoker (P<0.001). In the Cox proportional hazards model adjusted for key variables, metabolic syndrome (hazard ratio [HR] 1.57, P<0.001), high fasting glucose (HR 1.40, P<0.01), hypertriglyceridemia (HR 1.60, P<0.001), low HDL-cholesterol (HR, 1.30, P<0.01), and abdominal obesity (HR 1.32, P<0.01) in current smoker compared with non smoker were statistically significant, respectively, but not hypertension (HR 1.00, P>0.05). After adjustment for confounders, the time (P-time<0.001) and group (P-group<0.001) effects on metabolic syndrome score change were statistically significant. Furthermore, the interaction analysis of time and smoking group on the change in metabolic syndrome score was statistically significant (P-interaction<0.001). In long-term follow-up, smoking worsens metabolic syndrome.

• Journal of the Korean Society of Laryngology, Phoniatrics and Logopedics
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• v.30 no.1
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• pp.34-38
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• 2019

Background and Objectives : The aim of this study is verify the correlation between benign laryngeal mucosal disease and metabolic syndrome. Materials and Method : Data for patients diagnosed with benign laryngeal mucosal disease and metabolic syndrome from 2006 to 2015 were selected for analysis from the National Health Insurance Service database. Results : The prevalence of Metabolic syndrome was 2,179,785 out of 6,437,051 patients (33.86%). The prevalence of benign laryngeal mucosal disease was 516,594 out of 6,437,051 patients (8.03%). Metabolic syndrome was a risk factor for benign laryngeal mucosal disease [hazard ratio: 0.99, 95% confidence interval: 0.984-0.997] after adjusting for age and other variables including age, gender, smoking status, alcohol intake, exercise, body mass index, and diabetes. The number of metabolic syndrome components was also risk factor. Conclusion : Metabolic syndrome was related to the incidence of benign laryngeal mucosal disease. However this correlation did not seem to be high.

• Journal of Korean Ophthalmic Optics Society
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• v.14 no.3
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• pp.103-108
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• 2009

Purpose: This study was performed to assess the effects of metabolic syndrome and its components to cataract. Methods: We investigated the relation of metabolic syndrome and its components to cataract using data for 2,120 adults, aged 60 years or older, from the Korean National Health and Nutrition Examination Survey 2005, 2007. Using multiple logistic regression analysis, we presented significant odds ratio (OR) increase of cataract according to the number of metabolic abnormalities ${\leq}$1, 2, 3, ${\geq}$4). We also analyzed OR by the prevalence of metabolic components, and analyzed the effects of metabolic medication intakes to cataract prevalence using multiple logistic regression analysis. Results: The risk of cataract development was significantly increased according to the number of metabolic abnormalities, after adjusting for age, sex, life style, and social economic status variables (p for trend < 0.0001). In metabolic components, the disturbances of blood pressure (OR(95% Confidence Interval): 1.32(1.05,1.65)) and fasting glucose (1.35(1.09,1.67)) significantly increased the prevalence of cataract after adjusting for age and sex. Among these metabolic components, the significance of fasting glucose (1.26(1.01, 1.58)) was remained after adjusting for the other variables. Medication intake of hypertensive also increased the risk of cataract (1.49(1.14,1.96)). Conclusions: Metabolic syndrome and its components increased the risk of cataract, and some medication for treating hypertension was also associated with the cataract incidence.

• Nutrition Research and Practice
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• v.14 no.3
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• pp.252-261
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• 2020

BACKGROUND/OBJECTIVES: Although previous experimental studies reported the health benefits of foods rich in phytochemicals, few epidemiologic studies have investigated the associations between phytochemicals and metabolic disorders. This study aimed to calculate a phytochemical index (PI) and examine its association with metabolic syndrome in the Korean population. SUBJECTS/METHODS: Data of Korean adults aged ≥ 19 years who participated in the 2008-2016 Korea National Health and Nutrition Examination Surveys were analyzed. The PI was calculated using 24-hour intake recall data regarding whole grains, vegetables, fruits, legumes, nuts and seeds, and soybeans and soy products. Demographic and lifestyle data were obtained using self-administered questionnaires. A multivariable logistic regression was performed to calculate the adjusted odds ratios (ORs) and 95% confidence intervals (CIs) for the prevalence of metabolic syndrome and its components according to PI quintiles. RESULTS: Overall, 31,319 adults were evaluated. Compared with men, women had a higher median PI level (9.96 vs. 13.63) and significantly higher caloric intake levels from most PI components (P < 0.05), except for soy products. After adjusting for multiple confounding variables, participants in the highest PI quintile had significantly lower prevalences of abdominal obesity (OR: 0.90, 95% CI: 0.81-0.99), hyperglycemia (OR: 0.83, 95% CI: 0.74-0.94), high blood pressure (OR: 0.82, 95% CI: 0.73-0.93), hypertriglyceridemia (OR: 0.84, 95% CI: 0.75-0.94), and metabolic syndrome (OR: 0.78, 95% CI: 0.69-0.88). CONCLUSIONS: Higher intakes of phytochemical-rich foods are associated with a lower prevalence of metabolic dysregulation and consequently, cardiometabolic diseases.

• Journal of Physiology & Pathology in Korean Medicine
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• v.25 no.3
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• pp.551-557
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• 2011

The purpose of this study is to investigate the relation between brachial-ankle pulse wave velocity and the features of metabolic syndrome, and differences according to sex in patients diagnosed cerebral infarction. The study group comprised 61 patients over age 30 who were diagnosed cerebral infarction, accompanied with metabolic syndrome. The brachial-ankle pulse wave velocity, blood pressure, lipid profiles, fasting blood glucose, body mass index were measured. Also we checked past history of patients. Then we analyzed the association between brachial-ankle pulse wave velocity and the features of metabolic syndrome. Pearson correlation analysis reflected the variables affecting the brachial-ankle pulse wave velocity as follows : Age, SBP(systolic blood pressure), DBP(diastolic blood pressure), FBS(fasting blood glucose) were positively correlated. As a result of regression analysis, in patients with cerebral infarction accompanied with metabolic syndrome, the brachial-ankle pulse wave velocity is affected by age to men, SBP, FBS, DBP to women. The brachial-ankle pulse wave velocity is not affected by the components of metabolic syndrome, except blood pressure, FBS, in patients with ischemic stroke.

• Health Policy and Management
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• v.27 no.1
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• pp.47-55
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• 2017

Background: This study purposed to analyze the effects of metabolic syndrome on the total medical charge of patients. Methods: 2013 National Health Insurance Service sample research database (eligibility database, medical database, and health examination database) was used for this study. Gamma regression was applied to analyze the effects of metabolic syndrome on the total medical charge and logistic regression was used to determine the probability of medical charge which was higher than the third quartile. Sociodemographic characteristics (age and household income), health behavior factors (smoking, drinking, exercise, and body mass index), and disease related factors (family history and metabolic syndrome) were included as the independent variables. Results: people who had metabolic syndrome spent more medical expenses than those without metabolic syndrome both in man and woman group. The standard regression coefficient was 0.09 (p< 0.001) in man with metabolic syndrome and 0.16 (p< 0.001) in woman. In addition, woman with metabolic syndrome spent more than the third quartile of medical charge. The odds ratios was 1.04 (p= 0.16) for man with metabolic syndrome and 1.18 (p= 0.013) for woman. Conclusion: people with metabolic syndrome spent more medical charge, so it will need to consider policy interventions for preventing the incidence and management of metabolic syndrome in Korean people.

• The Journal of Internal Korean Medicine
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• v.33 no.3
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• pp.257-271
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• 2012

Objectives : The purpose of this study was to confirm that the pulse analyzer is useful for analyzing characteristics of variables of pulse waves in age categories, evaluating pulse waves of the metabolic syndrome group, compared with those of the non-metabolic syndrome group in Korean adults. Methods : The pulse wave variables were measured in Guan of all 1,056 subjects by the pulse analyzer, using a pen-type piezoresistive sensor. The physical measurement, blood test and survey were also performed by each subject. Results : In the age categories, height of pre-incisura (h2), height of tidal wave (h3), area of percussion wave (Aw), and width of percussion wave (w) increased in accordance with increase in age. While ratio of systolic period area (As) went up according to the increase of age, ratio of diastolic period area (Ad) went down. Radial augmentation index (R-AI), h2/h1, h3/h1, w/t and angle of percussion wave went up by aging, generally. Aw rate (Aw/At) also increased. Among the metabolic syndrome group, in the ages of 19 and 44, ratio of systolic period area (As) was higher and ratio of diastolic period area (Ad) was lower than in the non-metabolic group. w/t, Aw/At, and angle of percussion wave were higher than in the non-metabolic syndrome group. Among the metabolic syndrome group over the age of 60, height of pre-incisura (h2), height of tidal wave (h3), total area (At), area of percussion wave (Aw), radial augmentation index (R-AI), h2/h1 and h3/h1 were higher than in the non-metabolic syndrome group. Conclusions : The pulse analyzer is useful to analyze arterial stiffness in the age categories and in the metabolic syndrome group by some measures.

• Journal of Korean Biological Nursing Science
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• v.18 no.4
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• pp.305-317
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• 2016

Purpose: Recent studies demonstrated disruption of the circadian clock gene is associated with the development of obesity and metabolic syndrome. Obesity is often caused by the high calorie intake, In addition, the chronic stress tends to contribute to the increased risk for obesity. To evaluate the molecular mechanisms, we examined the expression of circadian clock genes in high fat diet-induced mice models with the chronic stress. Methods: C57BL/6J mice were fed with a 45% or 60% high fat diet for 8 weeks. Daily immobilization stress was applied to mice fed with a 45% high fat for 16 weeks. We compared body weight, food consumption, hormone levels and metabolic variables in blood. mRNA expression levels of metabolic and circadian clock genes in both fat and liver were determined by quantitative RT-PCR. Results: The higher fat content induced more severe hyperglycemia, hyperlipidemia and hyperinsulinemia, and these results correlated with their relevant gene expressions in fat and liver tissues. Chronic stress had only minimal effects on metabolic variables, but it altered the expression patterns of metabolic and circadian clock genes. Conclusion: These results suggest that the fat metabolism regulates the function of the circadian clock genes in peripheral tissues, and stress hormones may contribute to its regulation.

• Journal of the Korean Data and Information Science Society
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• v.23 no.4
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• pp.703-715
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• 2012

The purpose of this study is to observe the effects of the 12-week comprehensive exercise program on the metabolic syndrome index and general health of overweight middle aged women. Before and after the exercise program, research participants were measured in metabolic syndrome index and health fitness. The measurements gathered before and after the exercise program were analyzed through SPSS 18.0 to calculate average and standard deviation of all response variables. To find changes in the response variables before and after the 12-week program, Wilcoxon signed rank test was performed at a significance level of ${\alpha}$=.05. The results of this research are as follows. The 12-week comprehensive exercise program has a positive impact on the metabolic index and health fitness of overweight middle-aged women.

• Research in Community and Public Health Nursing
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• v.26 no.2
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• pp.128-139
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• 2015

Purpose: The purpose of this study was to identify factors affecting health promotion behavior among workers with high risk of metabolic syndrome. This study was based on the planned behavior theory. Methods: The participants were 167 workers at high risk of metabolic syndrome. Data were collected using a structured questionnaire. Surveyed variables were attitude, subjective norm, perceived behavioral control, intention, and health promotion behavior. Data were analyzed using descriptive statistics, t-test, ANOVA, Pearson's correlation coefficients, and hierarchical regression analysis with SPSS/WIN 22.0. Results: Perceived behavioral control affected the intention of health promotion behavior among the workers with high risk of metabolic syndrome. It explained 62% of variance in the intention of health promotion behavior (F=40.09, p<.001). Perceived behavioral control and occupation affected health promotion behavior among the risk workers with high risk of metabolic syndrome. The two factors explained 16% of variance in health promotion behavior (F=4.95, p<.001). Conclusion: The findings of this study suggest that perceived behavioral control is the only factor affecting health promotion behavior when the theory of planned behavior was applied. Therefore, intervention programs for improving health promotion behavior should be focused on strengthening perceived behavioral control.