• Journal of the Korea Convergence Society
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• v.7 no.3
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• pp.99-109
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• 2016

The purpose of this study is to offer evidence that supports effective prevention strategies for people with chronic lifestyle related disease and cardiovascular disease based on understanding relations between health related behaviors and risk factors of metabolic syndrome, to suggest a basic indicator that are related to office workers' chronic lifestyle related disease and to provide basic information for educating people who are diagnosed with chronic lifestyle diseas.Research methods include SPSS / Win Program ver 20.0 utilization analyzes were, variables and relationships to analyze it to F-test verification and ANOVA test conduct was, associations verify the order $x^2$(Chi-square) validation was conducted.Participants of this study are office workers who took medical examination covered by employee health insurance athealth screening centers in the city of Seoul. All 291 participants were explained about the purpose of this study and signed consent forms. The prevalence of metabolic syndrome for 291 participants is 19.2 %. The prevalence of metabolic syndrome for a non-smoker group is 12.7 %, for a group of people who used to smoke lightly is 25.0 %, for a group of people who used to smoke heavily is 25.9 %, for light smokers group is 29.7 % and heavy smoker group is 26.7 %. As results of this convergence study exhibits, there is a strong correlation between smoking and drinking habits, and the prevalence of metabolic syndrome.

• Proceedings of the Korean Nutrition Society Conference
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• 2004.11a
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• pp.77-77
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• 2004

• Journal of the Korea Convergence Society
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• v.11 no.9
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• pp.267-276
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• 2020

The purpose of this study was to investigate the relationship between VAI, insulin resistance, and pancreatic beta cell function according to the prevalence of metabolic syndrome in obese adults. From 2017 to 2019, 1,797 obese adults who received medical checkups at a general hospital in Bundang. Diagnosis of metabolic syndrome is NCEP-ATP III. HOMA index was used for insulin resistance and pancreatic beta cell function. VAI was higher in the metabolic syndrome than in the control(p<.001). As the number of risk factors for metabolic syndrome increased, the VAI value was higher(p<.001). The prevalence of metabolic syndrome increased as the VAI quartile increased(p<.001). VAI was also shown to be related to HOMA-IR and HOMA-β in the control, but not in the metabolic syndrome.

• The Journal of the Convergence on Culture Technology
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• v.7 no.3
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• pp.51-58
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• 2021

Women are reported to have increased risk of metabolic syndrome after menopause. Nevertheless, there is a lack of study on the convergent association between breast-feeding, bone mineral density(BMD) and metabolic syndrome due to women's childbirth. In this study, the data of 939 elderly women using raw data from the fifth Korean National Health and Nutrition Examination Survey(KNHANES V-1 and 2) in 2010 and 2011 were analyzed. The correlation between breast-feeding children, BMD and metabolic syndrome was analyzed by dividing them into three groups based on the number of breast-feeding children. As a result of the analysis, no specific association was found between risk factors of metabolic syndrome and BMD according to the increase in the number of breast-feeding children after adjustment for confounders. However, elderly women with a large number of breast-feeding children showed a significant association with more risk factors of metabolic syndrome. These findings can be used as a basic material for the prevention and diagnosis of metabolic syndrome and health care in elderly women.

• Journal of Nutrition and Health
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• v.50 no.2
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• pp.158-170
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• 2017

Purpose: The purpose of this study was to explore the relationship between milk intake and prevalence rates of chronic diseases using KNHANES data, and the significance of the relationship was tested based on meditators, socioeconomic status (income, education), dietary behaviors (smoking, alcohol drinking, breakfast, and eating out), and physical activity (walking, medium, and high). Methods: Using the 5th and 6th survey data of KNHANES, milk intake rates and presence of seven chronic diseases were summarized and analyzed by ANOVA for two groups of adult men and women as follows: hypertension, hypertriglyceridemia, low HDL-cholesterol, diabetes, abdominal obesity, obesity, and metabolic syndrome. The dependent variables for the presence of seven chronic diseases regressed with socioeconomic, dietary behavior, and physical activity variables according to Logistic models. The dependent variables for milk intake using predictor variables of socioeconomic, dietary behaviors and physical activity were analyzed according to Logistic models. Finally, the significant socioeconomic, dietary behavior, and physical activity variables in the above model along with milk intake as a control variable or mediator variable regressed with significant chronic diseases according to Logistic models. Results: Milk intake, socioeconomic status, dietary behaviors, and physical activity were significantly different among the two groups of adult men and women, which were also critical factors to the prevalence of chronic diseases. The dependent variable for prevalence of chronic diseases regressed with significant factors of socioeconomic status, dietary behavior, and physical activity variables according to chronic diseases using the control or mediator variable of milk intake and summarized as follows: For adult men, milk intake controlled the education effect on diabetes partly, alcohol on hypertension and hypertriglyceridemia, low HDL-cholesterol, metabolic syndrome, breakfast on metabolic syndrome, eating out on obesity, and medium physical activity on hypertriglyceridemia. For adult women, household income on hypertriglyceridemia, diabetes, abdominal obesity, education level on hypertension, alcohol drinking, eating out, and walking activity on abdominal obesity, alcohol, breakfast, eating out, walking activity on low HDL-cholesterol, and medium physical activity on hypertriglyceridemia and low HDL-cholesterol were partly controlled by milk intake. Other significant socioeconomic status, dietary behavior, and physical activity variables related to prevalence of chronic diseases were fully controlled or mediated by milk intake. Conclusion: This study shows that milk intake (daily more than 200 g) prevents chronic diseases such as hypertension, hypertriglyceridemia, low HDL-cholesterol, diabetes, obesity, abdominal obesity, and metabolic syndrome.

• Journal of the Korea Convergence Society
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• v.9 no.4
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• pp.65-74
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• 2018

This study aimed to analyze convergently the result of the health check-up of the military workers at age of 40, a life transition period in Korea. Data of 4898 military workers who took a health check-up in 2015 was obtained from the national health insurance service and we conducted secondary analysis. As a results, the metabolic syndrome group had a greater current smoking rate, higher number of cigarettes smoked per day, longer period of smoking and higher amount of alcohol consumed. Also, the group scored higher on BMI and had a higher level of total cholesterol, AST, ALT and GGT. In conclusion, as the military workers at age of 40 usually perform important duties, effective programs of reducing smoking and drinking alcohol are needed for their age group, In order to develop health management programs, prior investigation to take into consideration specific age and military rank is necessary.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.6
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• pp.147-156
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• 2016

The purpose of this study was to identify the factors associated with the improvement of metabolic syndrome, and provide basic data for the health management of clients. The subjects were 280 adults who were diagnosed with metabolic syndrome in 2013, and who were examined from January 2013 to December 2014. The data were analyzed by descriptive statistics, t-test, ${\chi}^2$-test, and logistic regression analysis with SPSS WIN 18. The change rate from 3 to 2 risk factors was 60.6% among those clients whose metabolic syndrome improved. The improvement group showed a decrease in their waist circumference, systolic blood pressure, triglycerides and increase in their HDL cholesterol in 2014 compared to 2013, as well as decreased drinking, increased exercise, proper calorie, protein and carbohydrate uptake, and increased consumption of a lipid lowering agent. Exercise, calorie uptake and maintenance of an oral hypoglycemic drug influenced the improvement of the metabolic syndrome. In conclusion, it is necessary to have an intervention program including exercise enhancement and diet modification and to reinforce the health education for continuing health management.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.3
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• pp.153-162
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• 2016

The aim of this study was to estimate the prevalence of the metabolic syndrome risk factors for adults in the general population, understand the relationship of each factor with the obesity indicators, and examine the relevance and validity for predicting the metabolic syndrome in obese indicators. The study subjects were 1,051 adults aged 20 years and over, who underwent a health package check-up at the Korea Association of Health Promotion, D-branch from Feb. to Nov. 2014. As a result, the prevalence rates of metabolic syndrome of the study subjects were 21.5%, and the prevalence rates of the metabolic risk factors were as follows: 31.8% of men and 41.6% of women for abdominal obesity; 35.6% of men and 17.3% of women for TG; 17.6% of men and 34.2% of women for HDL-C; 53.5% of men and 35.9% of women for blood pressure; and 14.9% of men and 6.8% of women for FBS. The prevalence rates of metabolic syndrome were significantly higher in the older age group, in the group with the higher BMI, and in the group of higher level of drinking frequency. In the predictive indicators of obesity on metabolic syndrome risk factors, the waist / height ratio was higher than other indicators. Conclusively, WHtR appeared to be a useful indicator to show abdominal obesity and is better in selecting metabolic syndrome patients compared to other obesity indicators.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.4
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• pp.392-399
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• 2016

This study examined the distribution of metabolic syndrome according to the age groups among the elderly people to reveal the sociodemographic and health related factors. The survey in 2011~2014 from the National Health Insurance Corporation under regular medical check-ups, which received a recognition survey targeted 1,756 people aged over 70. Multiple logistic regression was performed on the relation metabolic syndrome and its related factors. As a result, the risk ratio for metabolic syndrome increased significantly in females than in males, living with a family than living alone, high economic status than in the low group, obese than in the normal weight group, have a history of stroke group than the no history group, smoking group than the non-smoking group, and drinking group than the non-drinking group. The distribution of metabolic syndrome differed significantly according to the sociodemographic characteristics and health-related variables.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.10
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• pp.7034-7042
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• 2015

The purpose of this study was to investigate the effects of metabolic syndrome(MS) on quality of life(QoL) using the Korea National Health and Nutrition Examination Survey of 2013. We analyzed data for 4,890 adults, aged 19 year or older and provided the correct data about MS and QoL. MS was defined by the National Cholesterol Education Program-Adult Treatment Panel III with Korea-specific waist circumference cutoffs and QoL was measured by the EuroQol 5-dimension(EQ-5D). The prevalence of MS was 22.1% and high density lipoprotein(HDL)-cholesterol was the highest prevalence in MS components. The mean of EQ-5D index was significantly lower in subject with MS compared to subjects without MS. Among MS components, only higher waist circumference led to EQ-5D index decreasing and the regression coefficient was -0.018. In conclusion, we suggest the attention to QoL and intervention program for improving the QoL in subjects with MS.