• Genomics & Informatics
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• v.16 no.4
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• pp.31.1-31.7
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• 2018

The prevalence of metabolic syndrome (MS) in the nonobese population is not low. However, the identification and risk mitigation of MS are not easy in this population. We aimed to develop an MS prediction model using genetic and clinical factors of nonobese Koreans through machine learning methods. A prediction model for MS was designed for a nonobese population using clinical and genetic polymorphism information with five machine learning algorithms, including naïve Bayes classification (NB). The analysis was performed in two stages (training and test sets). Model A was designed with only clinical information (age, sex, body mass index, smoking status, alcohol consumption status, and exercise status), and for model B, genetic information (for 10 polymorphisms) was added to model A. Of the 7,502 nonobese participants, 647 (8.6%) had MS. In the test set analysis, for the maximum sensitivity criterion, NB showed the highest sensitivity: 0.38 for model A and 0.42 for model B. The specificity of NB was 0.79 for model A and 0.80 for model B. In a comparison of the performances of models A and B by NB, model B (area under the receiver operating characteristic curve [AUC] = 0.69, clinical and genetic information input) showed better performance than model A (AUC = 0.65, clinical information only input). We designed a prediction model for MS in a nonobese population using clinical and genetic information. With this model, we might convince nonobese MS individuals to undergo health checks and adopt behaviors associated with a preventive lifestyle.

• Journal of Korean Medicine for Obesity Research
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• v.18 no.2
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• pp.57-63
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• 2018

Objectives: Metabolic syndrome is defined by a cluster of major cardiovascular risk factors: obesity, insulin resistance, dyslipidemia, and arterial hypertension. Several members of a large family of nonselective cation entry channels, e.g., transient receptor potential vanilloid 4 (TRPV4) channels have been associated with the development of dyslipidemia and hypertension. The purpose of this study was to investigate the effects of Leejung-tang (Lizhong-tang), Rikkunshito, and Bojungikgi-tang (Buzhongyiqi-tang) on TRPV4 channel. Methods: Human embryonic kidney 293 cells stably transfected with the TRPV4 expression vectors were maintained in Dulbecco's modified Eagle's medium supplemented with 10% fetal bovine serum, 1% penicillin/streptomycin, $5{\mu}g/mL$ blasticidin, and 0.4 mg/mL zeocin in a humidified 20% $O_2/10%$ $CO_2$ atmosphere at $37^{\circ}C$. Whole-cell patch clamp recordings were obtained using an Axopatch 700B amplifier and pClamp v.10.4 software (Molecular Devices, San Jose, CA, USA), and signals were digitalized at 5 kHz using Digidata 1422A. Results: Leejung-tang and Rikkunshito (10, 30 and 50 mg/mL) had no effects on the TRPV4 whole-cell currents at dose dependent manner. However, Bojungikgi-tang (10, 30, and 50 mg/mL) inhibited the TRPV4 whole-cell currents in a dose dependent manner and the half maximal inhibitory concentration (IC50) of Bojungikgi-tang was 18.2 mg/mL. Conclusions: These results suggest that Bojungikgi-tang plays an important roles to inhibit the TRPV4 channel, suggesting that Bojungikgi-tang is considered one of the candidate agents for the treatment of metabolic syndrome such as dyslipidemia and hypertension.

• Clinical Nutrition Research
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• v.12 no.2
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• pp.138-153
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• 2023

The prevalence of metabolic syndrome (MetS) and its cost are increasing due to lifestyle changes and aging. This study aimed to develop a deep neural network model for prediction and classification of MetS according to nutrient intake and other MetS-related factors. This study included 17,848 individuals aged 40-69 years from the Korea National Health and Nutrition Examination Survey (2013-2018). We set MetS (3-5 risk factors present) as the dependent variable and 52 MetS-related factors and nutrient intake variables as independent variables in a regression analysis. The analysis compared and analyzed model accuracy, precision and recall by conventional logistic regression, machine learning-based logistic regression and deep learning. The accuracy of train data was 81.2089, and the accuracy of test data was 81.1485 in a MetS classification and prediction model developed in this study. These accuracies were higher than those obtained by conventional logistic regression or machine learning-based logistic regression. Precision, recall, and F1-score also showed the high accuracy in the deep learning model. Blood alanine aminotransferase (β = 12.2035) level showed the highest regression coefficient followed by blood aspartate aminotransferase (β = 11.771) level, waist circumference (β = 10.8555), body mass index (β = 10.3842), and blood glycated hemoglobin (β = 10.1802) level. Fats (cholesterol [β = -2.0545] and saturated fatty acid [β = -2.0483]) showed high regression coefficients among nutrient intakes. The deep learning model for classification and prediction on MetS showed a higher accuracy than conventional logistic regression or machine learning-based logistic regression.

• Journal of Sasang Constitutional Medicine
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• v.36 no.2
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• pp.12-26
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• 2024

Objectives We aimed to identify the incidence of metabolic syndrome (MetS) and its clustering components according to constitution type and lifestyle risk factors in Korean adults. Methods This study included 1,978 adults aged 30-55 years from the Korean Medicine Daejeon Citizen Cohort (KDCC) study. We defined lifestyle factors including smoking, alcohol consumption, physical activity, sleep, dietary quality, and weight status. Total lifestyle scores were created based on the six lifestyle factors (ranging from 0 to 5 factors) and classified into two groups: unhealthy (0-2 factors), or healthy (3-5 factors). Cox proportional hazard regression was used to estimate the hazard ratio (HR) and 95% confidence intervals (CIs) of primary endpoints: MetS events and their clustering components. Results During a median follow-up of 2.2 years, we documented 125 new onsets of MetS. Compared with participants with healthy, the HR of unhealthy participants was 2.401 (95% CI: 1.497-3.851) for MetS incidence. After adjusting for covariates, TE type with unhealthy was higher HR values of abdominal obesity (HRs: 1.499, 95%CI: 1.061-2.117) and hypertension (HRs: 1.840, 95%CI: 1.032-3.277), respectively. Conclusion Unfavorable lifestyle factors were highly associated with the prevalence of MetS and its clustering such as abdominal obesity and hypertension in Korean adults with TE. Tailored health management is needed to consider individual traits and healthy lifestyles to prevent cardiometabolic diseases.

• Journal of radiological science and technology
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• v.41 no.4
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• pp.305-312
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• 2018

The incidence of cardiovascular disease increases rapidly after 40's. The thickness of the epicardial adipose tissue was measured to analyze the risk factors affecting the thickness change. We present the cut off value for the epicardial adipose tissue thickness for high impacted variables. For the study, 547 patients underwent echocardiography, epicardial adipose tissue thickness, body mass index, abdominal subcutaneous fat thickness and diabetes mellitus were used as analytical variables. As a result, multiple regression analysis of age group showed that diabetes mellitus was highly influential in all age group, so we could predict the cut off value for the epicardial adipose tissue thickness for diabetes mellitus. As a result of ROC curve analysis, cut off value of 7.44 mm was obtained with sensitivity of 79.6% and specificity of 60.6% for diab etes variab le. Logistic regression analysis b ased on this value showed that the risk for diab etes increased 6 times with each increase in the thickness of the epicardial adipose tissue. Among the various obesity indexes, epicardial adipose tissue is used as an important index especially to prevent the risk of cardiovascular disease. Therefore, we suggest that the use of echocardiography as a routine screening method for the prevention of cardiovascular disease and metabolic syndrome, which is rapidly increasing in patients over 40's age, will enable more effective monitoring. Radiation is the emission or transmission of energy in the form of waves or particles through space or through a material medium.

• The Korean Journal of Food And Nutrition
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• v.29 no.6
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• pp.938-945
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• 2016

This study was conducted to investigate the risk of chronic disease as predicted by abdominal obesity in Korean adult females. Data on 2,738 adult females aged 40~64 yrs was obtained from the 2013~2014 Korean National Health Nutrition Examination Survey. The subjects were divided into normal (n=1,835), abdominal obesity (AO, n=73), and BMI-diagnosed abdominal obesity (BMI-AO, n=505) groups based on the NCEP-ATP III guidelines and by applying the KSSO definition regarding waist circumference. Triglyceride blood levels, fasting blood sugar levels, systolic blood pressure, and diastolic blood pressure were higher in the AO and BMI-AO groups than in the normal group. The HDL-cholesterol levels of subjects in the two abdominal groups were lower as compared to those of subjects in the normal group. The mean adequacy ratio was lower among subjects in the AO and BMI-AO groups than among those in the normal group. Moreover, the NAR and INQ scores of some micro-nutrients in both of the abdominal obesity groups were lower than those in the normal group. Both the AO and BMI-AO groups showed significantly higher risks of hypertriglycemia, hyperglycemia, hypertension, hypoHDL-cholesterolemia, and metabolic syndrome than were shown by the normal group. Notably, as compared to the normal group, the AO group showed higher risk of hypercholesterolemia, hyperLDL-cholesterolemia, hypertriglycemia, and metabolic syndrome than did the BMI-AO group. This finding suggests that it is essential to develop prevention programs including programs for those with abdominal obesity despite their having a BMI within the normal range.

• Journal of Preventive Medicine and Public Health
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• v.40 no.3
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• pp.227-232
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• 2007

Objectives : The purpose of this study was to determine the population-attributable risk (PAR) and estimate the total medical expenditure of the Korean National Health Insurance (KNHI) due to smoking. Methods : We used data from the Korean Cancer Prevention Study of 1,178,138 Koreans aged 30 to 95. These data were available from 1992 to 2003 and covered a long-term follow-up period among the Korean population. Results : The total medical expenditure of KNHI related to smoking increased by 27% from $324.9 million in 1999 to $413.7 million in 2003. By specific diseases, smoking-attributable KNHI medical expenditure was the highest for lung cancer ($74.2 million), followed by stroke ($65.3 million), COPD ($50.1 million), CHO ($49 million) and stomach cancer ($30 million). A total of 1.3 million KNHI patients were suffering from smoking-related diseases in 2003. We predicted rises in total KNHI medical expenditure related to smoking to $675.1 million (63% increase compared with that of 2003) and in the total number of KNHI patients suffering from smoking-related diseases to about 2.6million (an approximate 100% increase compared with those in 2003) in 2015. Conclusions : We found a substantial economic burden related to the high smoking prevalence in South Korea.

• Korean Journal of Community Nutrition
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• v.23 no.4
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• pp.277-288
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• 2018

Objectives: This study was performed to verify the validity and judgment criteria setting of a health status assessment tool based on dietary patterns for middle-aged women. Methods: A total of 474 middle-aged women who visited the Comprehensive Medical Examination Center at Hanmaeum Hospital in Changwon were enrolled (IRB 2013-0005). The validity was verified using clinical indicators for the diagnosis of metabolic syndrome (MS), and it was used to set the criteria for the tool. A logistic regression analysis was performed for validation. The area under-receiver operation (AUC), sensitivity, specificity, and Youden Index were calculated through ROC curve analysis. Statistical analysis was performed by SPSS 21, and p value <0.05 was considered to be statistically significant. Results: The mean score of the group with no MS (73.3 points) was significantly higher compared to the group with MS (65.7 points) (p<0.001). An analysis of the association between the tool scores and risk of MS showed a 0.15-fold reduction in the risk of MS every time the tool's score increased by one point. As the result of the ROC curve analysis, the assessment reference point was set to 71 points, indicating 77.0% sensitivity and 61.0% specificity. Risk of MS was significantly higher in the group with a score of less than 71.0 than a group with more than 71 points (OR=5.28, p<0.001). Conclusions: This study was the first attempt to develop a health status assessment tool based on the dietary patterns for middle-aged women, and this tool has proven its usefulness as an MS assessment tool through the application of middle-aged women in the field of health screening.

• Investigative and Clinical Urology
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• v.59 no.6
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• pp.399-409
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• 2018

Purpose: To analyze data from an observational, prospective, cumulative registry study in 805 hypogonadal men stratified by mild or moderate-to-severe lower urinary tract symptoms (LUTS) according to International Prostate Symptom Score. Materials and Methods: A total of 412 men underwent testosterone therapy (TTh) with injectable testosterone undecanoate, 393 men served as untreated controls. Measures of urinary function, anthropometric and metabolic parameters were performed at least twice per year. Results: Data from 615 men with mild LUTS (253 treated, 362 untreated) and 190 with moderate-to-severe LUTS (159 treated, 31 untreated) were available. During a follow-up period of 8 years a significant improvement of LUTS was noted for all TTh-patients whereas the control-groups showed deterioration or fluctuation around initial values. Despite advancing age, TTh fully prevented worsening of symptoms. In parallel, a considerable improvement of anthropometric parameters, lipids and glycemic control, blood pressure, C-reactive protein, and quality of life was found. Moderate-to-severe LUTS was associated with worse cardiometabolic risk profile at baseline as well as worse cardiovascular outcomes during follow-up in comparison to mild LUTS. Effect size of TTh was more pronounced in men with moderate-to-severe than with mild LUTS. Conclusions: Correcting hypogonadism by TTh is highly effective and safe for improving LUTS in hypogonadal men. TTh may also improve cardiometabolic risk and major adverse cardiovascular events.

• Journal of the Korean Society of Radiology
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• v.13 no.5
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• pp.729-737
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• 2019

Fatty pancreas is an abnormal process of lipid deposition in cells, resulting in increased fat tissue and obesity. The result is a risk factor for cardiovascular and metabolic diseases. The aim of this study was to evaluate the usefulness of pancreatic fat as a predictor of cardiovascular disease and metabolic syndrome in pancreatic ultrasonography. In 407 patients who underwent a comprehensive screening at the W Health Care Center in Busan from September 2. 2018 to December 31, 2018, the degree of fat deposition in the pancreas was evaluated as the degree of mild, moderate. Data on non-obstructive atherosclerosis, BMI, hyperlipidemia, hypertension, and diabetes were collected to assess the association of pancreatic fat deposition with cardiovascular disease and metabolic syndrome. In addition, we tried to analyze the correlation between liver dysfunction and thyroid dysfunction as the degree of fat pancreas increased. We examined the relationship between six parameters including atherosclerosis, BMI, hyperlipidemia, hypertension, diabetes, liver dysfunction, and thyroid dysfunction among patients with fatty pancreas. We concluded that the carotid intima-media thickness of atherosclerosis, which is a risk factor of cardiovascular disease, is most closely related to fatty pancreas.