• Journal of agricultural medicine and community health
• /
• v.38 no.1
• /
• pp.1-13
• /
• 2013

Objectives: This study is to investigate the prevalence and related factors of metabolic syndrome among Korean adults aged 20 years and above. Methods: From the database of the $5^{th}$ Korea National Health and Nutrition Examination Survey (KNHANES V) conducted in 2010, data of 5,670 adults who responded to all the questionnaires of health interview and had metabolic syndrome in the health examination were included in this analysis. SAS 9.2 was used for statistical analysis with complex sample survey modules and commands. Results: The prevalence rate of metabolic syndrome based on the criteria proposed by International Diabetes Federation (IDF) was 18.8%. The prevalence of metabolic syndrome in each group was: 20.7% of women, 43.1% among elderly over 70 years old, 40.6% of the divorced or the separated, 27.6% of recipients of economic support from the government, 23.6% of people who had alcohol dependency problem, and 43.7% of overweight or obese adults. Independent risk factors based on the multiple logistic regression analysis revealed that prevalence of metabolic syndrome was associated with female (odds ratio 1.59 [95% confidence interval 1.20-2.11]), age (50s 3.95 [2.11-7.37], 60s 5.62 [2.98-10.61], 70s 10.56 [5.25-21.25]), high school education (0.52 [0.37-0.74]), clerk occupation (2.14 [1.27-3.60]), divorced marital status (1.72 [1.15-2.59]), alcohol dependency (1.86 [1.16-2.98]), higher BMI (14.08 [10.60-18.70]). Conclusions: The metabolic syndrome is prevalent among Korean adult population according to IDF criteria. Several demographic characteristics and potentially modifiable factors are associated with metabolic syndrome. Identification of this high-risk group and management of these modifiable factors are warranted to reduce the prevalence of metabolic syndrome.

• Journal of Korean Academy of Nursing
• /
• v.45 no.3
• /
• pp.420-428
• /
• 2015

Purpose: Purpose was to explore associations between sleep duration and metabolic syndrome (MS) risks, and to determine factors associated with self-rated health (SRH) of adults with MS compared to other adults. Methods: This is a secondary data analysis based on the Fifth Korea National Health and Nutrition Examination Survey KNHANES V (N=12662). Study instruments included sleep duration, MS risk factors, SRH and health-related quality of life (HRQoL). Results: Mean age of participants was $43.68{\pm}12.26years$. Fifty-eight percent were women, and 18.3% were identified as having MS. Systolic blood pressure (SBP), diastolic blood pressure (DBP), and SRH were significantly different according to sleep duration (p <.05) among all participants. In the non MS group, male gender, younger age (19~30 and 41~50 age brackets) upper income level, sufficient sleep duration, and high density lipoprotein (HDL) were positively associated with SRH, whereas, lower education levels (${\leq}$ middle school), glucose level, and waist circumference were negatively associated with SRH (p <.05). In the MS group, lower income, lower education levels (${\leq}$ middle school), glucose level, and waist circumference were negatively associated with SRH, whereas, having an occupation was positively associated with SRH (p <.05). Conclusion: Results suggest that tailored approaches are required for prevention and control of MS and sleep duration of each individual should be considered rather than applying standardized guidelines. However, as sleep quality was not included in the analysis, further investigations regarding influence of sleep quality on MS and SRH and controlling for other lifestyle and health behavior factors are required.

• Korean Journal of Health Education and Promotion
• /
• v.31 no.5
• /
• pp.81-95
• /
• 2014

Objectives: The purpose of this study was to apply participatory action-oriented training (PAOT) principle for the management of metabolic syndrome and to assess its effectiveness in the workplace. Methods: The metabolic syndrome management program applying participatory action-oriented training (PAOT) principle is constructed action checklist, Group discussion, self-creation of an action plan, after 3 months, 6 months, 1 year, the practice carried out check up and encourage practice activity. Results: The seventy-seven workers who participated in the metabolic syndrome management program made a total of 246 action plans, 3.8 action plans per person and 234 action plans were achieved after one year, so that 81.0% of action plans have been achieved. After 1 year, in the intervention group, systolic blood pressure (SBP) and diastolic blood pressure (DBP), body mass index (BMI), the risk factors score decreased statistically significant, and metabolic syndrome prevalence decreased 54.8%. whereas the control group also showed a significant decreased in the mean systolic and diastolic blood pressure, the risk factors score. but, low-density lipoprotein (LDL) was significantly increased. Conclusions: To improve the effectiveness of metabolic syndrome management program applying participatory action-oriented training (PAOT) principle, the need to continues implementing programs and analysis of the long-term effects are required. Participatory action-oriented training (PAOT) principle can applying without cost and time, the human burden for the prevention and management of chronic diseases such as metabolic syndrome.

• Journal of radiological science and technology
• /
• v.46 no.5
• /
• pp.367-377
• /
• 2023

This study investigates the utility of the Triglyceride-glucose(TyG) index and Cardiometabolic Index(CMI) as predictors for diagnosing metabolic syndrome. The study involved 1970 males, 1459 females, totaling 3429 participants who underwent health checkups at P Hospital in Busan between January 2023 and June 2023. Metabolic syndrome diagnosis was based on the presence of 3 or more risk factors out of the 5 criteria outlined by the American Heart Association/National Heart, Lung, and Blood Institute(AHA/NHLBI), and participants with 2 or fewer risk factors were categorized as normal. Statistical analyses included independent sample t-tests, chi-square tests, Pearson's correlation analysis, Receiver Operating Characteristic(ROC) curve analysis, and logistic regression analysis, using the Statistical Package for the Social Sciences(SPSS) program. Significance was established at p<0.05. The comparison revealed that the metabolic syndrome group exhibited attributes such as advanced age, male gender, elevated systolic and diastolic blood pressures, high blood sugar, elevated triglycerides, reduced LDL-C, elevated HDL-C, higher Cardiometabolic Index, Triglyceride-glucose index, and components linked to abdominal obesity. Pearson correlation analysis showed strong positive correlations between waist circumference/height ratio, waist circumference, Cardiometabolic Index, and triglycerides. Weak positive correlations were observed between LDL-C, body mass index, and Cardiometabolic index, while a strong negative correlation was found between Cardiometabolic Index and HDL-C. ROC analysis indicated that the Cardiometabolic Index(CMI), Triglyceride-glucose(TyG) index, and waist circumference demonstrated the highest Area Under the Curve(AUC) values, indicating their efficacy in diagnosing metabolic syndrome. Optimal cut-off values were determined as >1.34, >8.86, and >84.5 for the Cardiometabolic Index, Triglyceride-glucose index, and waist circumference, respectively. Logistic regression analysis revealed significant differences for age(p=0.037), waist circumference(p<0.001), systolic blood pressure(p<0.001), triglycerides(p<0.001), LDL-C(p=0.028), fasting blood sugar(p<0.001), Cardiometabolic Index(p<0.001), and Triglyceride-glucose index (p<0.001). The odds ratios for these variables were 1.015, 1.179, 1.090, 3.03, and 69.16, respectively. In conclusion, the Cardiometabolic Index and Triglyceride-glucose index are robust predictive indicators closely associated with metabolic syndrome diagnosis, and waist circumference is identified as an excellent predictor. Integrating these variables into clinical practice holds the potential for enhancing early diagnosis and prevention of metabolic syndrome.

• Korean Journal of Biological Psychiatry
• /
• v.18 no.1
• /
• pp.46-54
• /
• 2011

Objectives : The objective of this study is to assess the prevalence and risk factors of metabolic syndrome (MS) among inpatients with schizophrenia, and to compare with general population. Methods : Nine hundreds seventy inpatients were included to assess the prevalence of MS from two mental hospitals in Yong-in city. Assessment of MS was performed based on modified American Heart Association criteria with abdominal obesity threshold of 90cm for men, 85cm for women. Comparative analysis was performed using age- and gender matched sample from Korea Health and Nutritional Examination Survey III. For evaluating risk factors, analysis included 766 inpatients taking consistent medications at least for 30 days. Results : The prevalence of MS of inpatients with schizophrenia was 26.2%, in females it was 33.2%, compared to 20.2% in males(p < 0.001). Compared to general population, the prevalence of MS was significantly lower in male and higher in female patients. In terms of criteria prevalence, who met abdominal circumference criterion were more prevalent in patient group(p < 0.001). After multivariate analysis, female gender and old age remained as risk factors of MS. Conclusions : The prevalence of MS of inpatients with schizophrenia was 26.2% and significantly low compared to general population. Female gender and old age were risk factors of MS.

• The Korean Journal of Health Service Management
• /
• v.12 no.3
• /
• pp.143-156
• /
• 2018

Objectives: The aim of this study was to determine the affecting factors of metabolic syndrome (MetS) and it's components in Korean adults in their 30s and 40s. Methods: The present study assessed 1,215 subjects who participated in the Korea National Health and Nutrition Examination Survey in 2014. We analyzed the prevalence rate of MetS and it's components and their affecting factors. Results: The prevalence rate of MetS was 16%. Family history of diabetes mellitus and, low or high saturated fat intake were associated with MetS in males. Low income, low education, excessive sleep, excessive carbohydrate and low saturated fat intake were associated with MetS in females. Triglycerides showed the highest prevalence in males and were related to white collar socioeconomic status, smoking, and obesity. Triglycerides and high-density lipoprotein cholesterol were high in females, and triglycerides were affected by excessive sleep, family history, low saturated fat intake, and obesity. High-density lipoprotein cholesterol was affected by obesity. Conclusions: Because sex differences exist in MetS, it is necessary to intervene through diverse approaches. In particular, a continuous management and preventive intervention for obesity is needed.

• Journal of the Korea Convergence Society
• /
• v.10 no.5
• /
• pp.43-50
• /
• 2019

The purpose of this study was investigate the association between birth age related health factors and metabolic syndrome in women. The data of 6743 women from Korean National Health and Nutrition Examination Survey(2012-2014 KNHANES) were analyzed. Dependent variable was metabolic syndrom related variables were collected. Menopause status was associated with metabolic syndrome [odds ratio of with post-menopause 1.44(95% CI: 1.09-1.90)]. First birth age was associated with metabolic syndrome [odds ratio of women with 26-30 year : 0.81 (95% CI: 0.68-0.98); odds ratio of women 31 year over: 0.62(95% CI: 0.45-0.87)] after adjusted for age, region, household income, smoking, occupation. In conclusion, the metabolic syndrome is closely related to menopause and first birth age, and will be used as a basic data in developing future educational programs for women.

• Journal of Sasang Constitutional Medicine
• /
• v.34 no.4
• /
• pp.27-37
• /
• 2022

Objectives The purpose of this study is to propose a method to more specifically identify Sasang constitutional risk factors of metabolic syndromes by adjusting the cut-off value of Korea Sasang Constitutional Diagnostic Questionnaire (KS-15). Methods Data of 1997 participants in Korean medicine Daejeon Citizen Cohort study (KDCC) were analyzed. Metabolic syndrome was defined according to the NCEP-ATP III, lifestyle information, and hematologic information including KS-15 and demographic characteristics were used as covariates. Results The 179 subjects with metabolic syndrome accounted for 9.0% of the total. As a result of determining the Sasang constitution for the KS-15 response based on the cut-off values (approximate 0.33), 0.5, and 0.6 of the constitutional score, when performed at the 0.6 cut-off model, the odds ratio of TE was 2.46 which showed a statistically significantly higher risk than the borderline group. For the accuracy of the model and the Area under the curve (AUC), the model accuracy based on the original cut-off of the KS-15 was 0.902 and AUC was 0.737. The accuracy of the model with cut-off of 0.5 and with of 0.6 were 0.904 and 0.902, respectively, and the AUCs were 0.687 and 0.741, respectively. Conclusion In this study, we confirmed that it is effective to increase the cut-off value of KS-15 to 0.6 in the metabolic syndrome risk model. It is expected that this could increase the accuracy of identifying high-risk groups for metabolic syndrome.

• Journal of the Korea Society of Computer and Information
• /
• v.17 no.1
• /
• pp.41-52
• /
• 2012

According to 2005 Korea National Health and Nutrition Survey, it has been reported that 32.9% men and 31.8% women have Metabolic syndrome among the population of age 30 and over. The importance of prevention and management is being emphasized in Metabolic syndrome which is a complex disease related to various generic and environmental factors like other chronical disease. In this study we suggest an service based on the data using the system architecture, ontology and Jena2.0 inference engine and organizing the disease-related guideline. The study also arrives at the result through proper interpretation and reasoning process using health management service model based on ontology. The accuracy according to the situation was tested and 930 data samples were selected and experimented. We drew a conclusion that the much personalized data is available, the more personalized services are possible. Since the risk factors of Metabolic syndrome are various, it would be effective to suggest customized services based on various personalized data.

• Journal of Digital Convergence
• /
• v.14 no.4
• /
• pp.479-486
• /
• 2016

The purpose of this study was to investigate effects of 12-week physical activity intervention on obesity and metabolic syndrome risk factors and smartphone game time in children. A total of 27 children(fifth grade elementary school students) participated in this study. The subjects were divided to exercise group(n=16) and control group(n=11), and participants in exercise group performed running and jump rope(60min/day; 3days/week; 50~70% of THR) during 12-week. We analyzed measurement data using two-way ANOVA. As results, obesity indices except body weight and metabolic syndrome risk factor decreased significantly in exercise group compare with control group. And VO2max increased and smartphone game time decreased significantly in exercise group compare with control group. In conclusion, we suggest that 12-week exercise intervention in children has positive effects on obesity and metabolic syndrome and improve negative lifestyle such as smartphone game.