• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.11
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• pp.433-444
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• 2017

This study was conducted to identify relationships between lung function disorders and Metabolic Syndrome(MetS) that have common comorbidities such as Cardio Vascular Diseases(CVD). According to the hypothesis that there may be a significant relationship between them, analyses were conducted to identify the proper management point for those diseases. Overall, 53,829 data were taken from KNHANES 2008-2013. Included data were PFT(Pulmonary Function Test) done and age over 40. All the 14 confounders applied, only 8,137 cases (M:3,951, F:4,186) were left. Low pulmonary function was divided into two categories, obstructive and restrictive patterns, based on the Global Initiative for Chronic Obstructive Lung Disease(GOLD) criteria, while MetS was defined based on the revised NCEP-ATPIII criteria. The relationships between those diseases were analyzed using logistic regression analysis. In addition, for the prevalence rate, cross-tab analysis were conducted. There were no significant relationships observed between obstructive lung disease and MetS, but a restrictive pattern had a meaningful relationship with MetS. Specifically, MetS showed a higher prevalence rate for both obstructive and restrictive pattern patients than the control group. Restrictive pattern patients showed a higher prevalence rate to MetS than obstructive patients. Overall, restrictive lung patterns showed a meaningful association with MetS, but not with obstructive patterns. Additionally, the prevalence rate of MetS among restrictive patients was higher than among obstructive patients.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.10
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• pp.3833-3838
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• 2010

Brainwave can be the most effective means of detecting the state of the brain that changes moment by moment. Since brain has closed relations with hormones which are a foundation of metabolism, it needs to examine closely the mutual relationship between brainwave and hormone. We examined the possibility to find out such information about metabolism by comparing brainwave with cortisol hormone. The major variables are anti-stress quotient of brainwave and cortisol density which give stress information of the working women, to measure from March 3 to May 28, 2007. To find out the relationship between them, we performed such statistical analysis about the before and after of brainwave training as t-test, correlational analysis and regression analysis. We obtained following results: First, considerable changes of variables is shown by brain-wave training. Second, there exist a correlation between variables. Third, according to regression analysis, influence between variables is verified. Thus, we found that stress information of hormone analytical level can be obtined only through brainwave analysis.

• Journal of Digital Convergence
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• v.14 no.2
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• pp.325-332
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• 2016

The purpose of this study is to investigate the attributes influencing the prevalence of metabolic syndrome and develop the prediction model for metabolic syndrome over 40-aged people from Korea Health and Nutrition Examination Study 2012. The researcher chose the attributes for prediction model through literature review. Also, we used the decision tree, logistic regression, artificial neural network of data mining algorithm through Weka 3.6. As results, social economic status factors of input attributes were ranked higher than health-related factors. Additionally, prediction model using decision tree algorithm showed finally the highest accuracy. This study suggests that, first of all, prevention and management of metabolic syndrome will be approached by aspect of social economic status and health-related factors. Also, decision tree algorithms known from other research are useful in the field of public health due to their usefulness of interpretation.

• Journal of agricultural medicine and community health
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• v.35 no.4
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• pp.383-394
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• 2010

Objectives: This study aims to identify dietary factors related to metabolic syndrome in middle aged Korean men who were participants in the Fourth Korea National Health and Nutrition Examination Survey(KNHANES IV) in 2007. Methods: The study targeted 361 of the 709 men aged between 40 and 64 years for a final analysis; the other 348 surveys had incomplete data which did not allow for the determination of metabolic syndrome. The definition of metabolic syndrome was based on the National Cholesterol Education Program Adult Treatment Panel III(NCEP ATP III). Results: There were significant differences in the metabolic syndrome of middle-aged men according to age, smoking pack-years, and number of resturant meals per week. Dietary factors such as vitamins, riboflavin, natrium, carbohydrate, protein and lipid intakes were not significant. Conclusions: It was verified that metabolic syndrome in middle-aged men is related to age, smoking pack-years and number of resturant meals per week. Dietary factors were not significantly related. However, further detailed studies in this area are needed.

• Korean Journal of Clinical Laboratory Science
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• v.48 no.4
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• pp.287-295
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• 2016

This study was conducted to assess the relationship amongst serum ferritin, and metabolic syndrome (MetS) and metabolic syndrome score (MSS) in Korean adults. The data of 16,096 adults (6,840 men as well as 4,916 premenopausal and 4,340 postmenopausal women) aged ${\geq}20years$ in the Korean National Health and Nutrition Examination Survey (KNHANES) between 2010 and 2012 were analyzed. The prevalence rate of MetS was 3,978 (24.7%) (men, 24.6%; premenopausal women, 11.1%; postmenopausal women, 40.3%). The key study results were as follows: First, after the adjustment for relevant variables, the serum ferritin level ($M{\pm}SE$) was significantly higher (p<0.001) in the MetS group (men, $132.25{\pm}1.98ng/mL$; premenopausal women, $39.89{\pm}1.49ng/mL$; postmenopausal women, $73.45{\pm}1.14ng/mL$) than in the non-MetS group (men, $111.08{\pm}1.01ng/mL$; premenopausal women, $32.26{\pm}0.50ng/mL$; postmenopausal women, $63.26{\pm}0.98ng/mL$). Second, the serum ferritin levels increased as MSS increased in all groups (men, premenopausal women, and postmenopausal women) (p<0.001). In conclusion, MetS and MSS increases were positively associated with higher serum ferritin levels.

• Korean Journal of Ecology and Environment
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• v.56 no.3
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• pp.268-279
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• 2023

Nowadays, artificial intelligence model approaches such as machine and deep learning have been widely used to predict variations of water quality in various freshwater bodies. In particular, many researchers have tried to predict the occurrence of cyanobacterial blooms in inland water, which pose a threat to human health and aquatic ecosystems. Therefore, the objective of this study were to: 1) review studies on the application of machine learning models for predicting the occurrence of cyanobacterial blooms and its metabolites and 2) prospect for future study on the prediction of cyanobacteria by machine learning models including deep learning. In this study, a systematic literature search and review were conducted using SCOPUS, which is Elsevier's abstract and citation database. The key results showed that deep learning models were usually used to predict cyanobacterial cells, while machine learning models focused on predicting cyanobacterial metabolites such as concentrations of microcystin, geosmin, and 2-methylisoborneol (2-MIB) in reservoirs. There was a distinct difference in the use of input variables to predict cyanobacterial cells and metabolites. The application of deep learning models through the construction of big data may be encouraged to build accurate models to predict cyanobacterial metabolites.

• The Journal of the Korea Contents Association
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• v.20 no.10
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• pp.411-423
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• 2020

The purpose of this study was to examine the association between metabolic syndrome and its components and health-related quality of life in Korean adults. Metabolic syndrome defined in accordance with NCEP-ATP III, and HRQOL was evaluated using EQ-5D. Data on 16,657 adult, extracted from Korean National Health and Nutrition Examination Surveys in 2016-2018, were analyzed and showed that 34.3% of subjects were metabolic syndrome, with males higher than females. The average score of HRQOL was 96.7 for men and 94.5 for women. Multiple logistic regression analysis was results, The OR of impaired HRQOL in women who metabolic syndrome was 1.27(95% CI: 1.09-1.46) compared to who women without metabolic syndrome. Among the components of metabolic syndrome, abdominal obesity (OR=1.72, 95% CI: 1.50-1.97) and high blood pressure (OR=1.26, 95% CI: 1.06-1.50) were associated to impaired HRQOL. But, there were no significant in men. In conclusion, In order to improve women's HRQOL, it suggests that an approach strategy is necessary to reduce the risk factors of metabolic syndrome, which take into account women's characteristics.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.3
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• pp.1186-1193
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• 2012

The purpose of the study is to provide the basic data for preventing and caring cardiovascular disease. The study was performed with the data from the same 1,668 persons who had medical checkup three times from 2004 to 2008 at a health promotion center. The related factors were examined with Cohort Study. The result of the study is as followed, The incidence of metabolic syndrome for the subjects from 2004 to 2008 increased; 0% in 2004, 8.3% in 2006 and 12.0% in 2008. Multiple logistic regression analysis showed that the related factors in the occurrence of metabolic syndrome which changed from the non metabolic syndrome group in 2004 to metabolic syndrome were age, smoking, total cholesterol, ALT, and uric acid etc.

• 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 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.