• Communications for Statistical Applications and Methods
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• v.30 no.1
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• pp.21-35
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• 2023

Metabolic syndrome is a serious disease that can eventually lead to various complications, such as stroke and cardiovascular disease. In this study, we aimed to identify the risk factors related to metabolic syndrome for its prevention and recognition and propose a nomogram that visualizes and predicts the probability of the incidence of metabolic syndrome. We conducted an analysis using data from the Korea National Health and Nutrition Survey (KNHANES VII) and identified 10 risk factors affecting metabolic syndrome by using the Rao-Scott chi-squared test, considering the characteristics of the complex sample. A naïve Bayesian classifier was used to build a nomogram for metabolic syndrome. We then predicted the incidence of metabolic syndrome using the nomogram. Finally, we verified the nomogram using a receiver operating characteristic curve and a calibration plot.

• Journal of Korean society of Dental Hygiene
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• v.13 no.4
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• pp.581-588
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• 2013

Objectives : The aim of the study si to investigate correlation between metabolic syndrome risk factors and oral health status in workers and to propose the integrated and effective management measures. Methods : Subjects were 4,600 workers in industrial company. Data by medical checkup and oral examination were collected from July 13, 2010 to September 12, 2010. Self-reported questionnaire included general characteristics, job description, smoking, drinking, and metabolic syndrome risk factor indicators. Gingivitis, dental calculus and missing tooth tended to have more metabolic syndrome risk factors. Data were analyzed by descriptive statistics, chi-square test, correlation analysis, logistic regression using SPSS version 18.0. Results : Dental caries revealed 1.146 times higher than the control group. Risk group showed the following results; gingivitis was 1.317 times higher in risk group and 1.612 times in metabolic syndrome. Dental calculus was 1.532 times higher in risk group and 1.557 times in metabolic syndrome. Mssing teeth were 1.976 higher in metabolic syndrome. Conclusions : Metabolic syndrome risk factors had close correlation to poor raol health status. It is necessary to establish the effective plan for the oral health in workers.

• Journal of East-West Nursing Research
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• v.14 no.2
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• pp.47-53
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• 2008

Purpose: Metabolic syndrome (also known as insulin resistance syndrome) represents a constellation of hypertriglyceridemia, hypertension, impaired glucose tolerance, and obesity. Presently, the influence of various factors on metabolic syndrome was assessed in patients of a university hospital comprehensive medical examination center. Methods: Age, sex, blood pressure, height, weight, triglyceride level, high-density lipoprotein cholesterol, and glucose levels were measured in 67 people (37 males and 30 females). These factors were correlated with tobacco use, alcohol consumption, and exercise habits. Metabolic syndrome and abdominal obesity were assessed according to NCEP-ATP III criteria and the Asia-Pacific guidelines (male obesity defined as a waist circumference exceeding 90 cm), respectively. Data was analyzed using t-test, 2-test, and logistic regression. Results: Respective percentages were: tobacco use (14.9% of the 67 people), no tobacco use (85.1%), alcohol consumption (62.7%), no alcohol consumption (37.3%), regular exercise (25.4%), no regular exercise (74.6%). Logistic regression analysis revealed a gender-related odds ratio of 2.3 for metabolic syndrome and no exercise. Conclusions: Weight reduction and physical exercise may decrease the prevalence of metabolic syndrome. Early identification of metabolic syndrome and risk factor modification is prudent in cases of obesity, diabetes, hyperlipidemia, and hypertension.

• Research in Community and Public Health Nursing
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• v.29 no.1
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• pp.108-119
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• 2018

Purpose: The purpose of this study is to estimate the prevalence of the metabolic syndrome in pre-menopausal housewives and to explore controllable and uncontrollable factors regarding metabolic syndrome. Methods: The study population of this cross-sectional survey was from the Korean Health and Nutrition Examination Survey (KHANES) 2010 through 2015, including the fifth and sixth population-based studies. The criteria for metabolic syndrome include waist circumference, blood pressure, fasting plasma glucose, triglyceride, high-density lipoprotein (HDL) based on Korean Clinical Practice Guideline for Metabolic Syndrome by the Korean Academy of Family Medicine 2015. Results: Among the 2,498 subjects, 247 subjects had metabolic syndrome and the prevalence was estimated to be 9.9%. The number of subjects who met the criterion of HDL was 936 (36.2%), which was the most prevalent among the criteria for metabolic syndrome. Statistically significant (p<.05) factors include age, livinghood benefit group, perceived health status, obesity, family history of DM, sleeping time, awareness of stress,leukocyte, and erythrocyte count. The odds ratio of obesity in the BMI ${\geq}25$ group was 12.59 times as high as that of the BMI <25 group (p<.001) for metabolic syndrome. Conclusion: The prevalence of metabolic syndrome in pre-menopausal housewives in the survey was not low, and it is necessary to develop and apply comprehensive health habit management programs to improve controllable factors including exercise and food intake.

• Biomedical Science Letters
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• v.18 no.1
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• pp.63-70
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• 2012

The research is performed in order to know the relationship between the metabolic syndrome and the physical fitness targeted for menopausal women (over 45 years). All subjects were divided into 4 groups; group without risk factors of metabolic syndrome (MS-0: n=74), group having one risk factor of metabolic syndrome (MS-1: n=68), group having two risk factors of metabolic syndrome (MS-2: n=44), and group having more than three risk factors of metabolic syndrome (MS ${\geq}$ 3: n=30). All groups' height, weight, body mass index and percent of body fat were measured. High density lipoprotein cholesterol (HDL), triglyceride, glucose and blood pressure (BP) levels were measured. Their cardiorespiratory ($VO_2max$) endurance, muscular strength, muscle endurance, and flexibility were measured. HDL, triglyceride, glucose and BP levels in MS-1, MS-2, and MS ${\geq}$ 3 group were significantly greater than those of MS-0 group. The endurance ($VO_2max$) in MS ${\geq}$ 3 group was higher than that of MS-0 group. Multiple regression with the risk factors of metabolic syndrome and the physical fitness showed a statistical significance in only $VO_2max$. We found that the risk factors of the metabolic syndrome adversely affect postmenopausal women's $VO_2max$ and that a decreased $VO_2max$ may have prognostic value for the prediction of metabolic syndrome.

• Korean Journal of Occupational Health Nursing
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• v.21 no.3
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• pp.209-220
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• 2012

Purpose: This study examined the influencing factors for metabolic syndrome and the annual medical expenditures of metabolic syndrome among public officials. Methods: The National Health Insurance data in 2009 were collected for 364,932 public officials and the heath examination results and annual medical expenditures were analyzed using PASW 18.0 program. Results: The prevalence of metabolic syndrome is 17.6%, and it was higher in male officials than that of females in all age groups. In men, the influencing factors for metabolic syndrome were: age, family history of stroke, cardiovascular disease, hypertension, and diabetes mellitus, smoking, alcohol consumption, exercise, and obesity. However, in women, health-related behaviors such as smoking, alcohol consumption and exercise did not affect metabolic syndrome. People who had metabolic syndrome showed significantly higher medical expenditures than those without metabolic syndrome. The odds ratios of having the highest quartile in medical expenditures were 1.372 (95% CI 1.252~1.504, p<.001) in women with metabolic syndrome and 1.213 (95% CI: 1.184~1.243, p<.001) in men. Conclusion: The results implied that health-related behaviors were associated with metabolic syndrome, and resulted in higher medical expenditures. In order not only to decrease the risk of metabolic syndrome but also reduce medical expenditures, nurses should plan health promotion strategies to educate public officials about healthy life strategies.

• The Journal of Korean Society for School & Community Health Education
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• v.19 no.3
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• pp.1-14
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• 2018

Objectives: The purpose of this study was to investigate the prevalence of metabolic syndrome and to find related factors according to the number of metabolic syndrome diagnostic components in Korean adolescents. Methods: The subjects of this study were 469 Korean adolescents aged from 12 to 18 enrolled in the 2016 Korea National Health and Nutrition Examination Survey. Statistical package R 3.4.2 was used for programming to apply diagnostic criterion of adolescent metabolic syndrome and for the analysis of the data such as weighted frequent analysis, weighted mean analysis and complex sampling design logistic regression analysis. Results: For adolescents 12 to 18 years of age, 2.55% had more than 2(${\geq_-}3$), 9.88% had more than 1(${\geq_-}2$) and 33.17% had more than 0(${\geq_-}1$) metabolic syndrome diagnostic components. It has been found that risk factors for no less than 2 metabolic syndrome diagnostic components were higher body mass index and higher stress, and risk factors for no less than 1 were higher body mass index, younger teenager and female. Conclusion: Obesity is the primary risk factor for the development of adolescent metabolic syndrome. Female or younger teenager are more likely to have one or more metabolic syndrome diagnostic components, and higher stress develop to the risk level of having two or more metabolic syndrome diagnostic components. Therefore, it is important to focus on obesity and stress management for the prevention and control of Korean adolescent metabolic syndrome.

• Korean Journal of Community Nutrition
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• v.27 no.3
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• pp.223-244
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• 2022

Objectives: This study was designed to investigate the relationship between metabolic risk factors, Index of Nutrition Quality, and the dietary quality index score of Korean adults. Methods: The subjects were 18,652 Korean adults aged 19 years or older (7,899 males, 10,753 females) who participated in the 2016-2019 Korea National Health and Nutrition Examination Survey. Subjects were divided into normal, pre-metabolic syndrome, and metabolic syndrome (MetS) groups according to the number of their metabolic risk factors. Data were analyzed using the SPSS program. Results: About 44.7% of men in the MetS group were at least college graduates (P < 0.001), whereas 52.0% of women in the MetS group were middle school graduates or lower (P < 0.001). The frequency of fruit and dairy products intake tended to decrease as the number of metabolic risk factors increased in both men and women (P for trend < 0.001). As the number of metabolic risk factors decreased, the frequency of grain intake tended to decrease in men (P for trend < 0.001) while the frequency of intake of red meat (P for trend = 0.001), poultry (P for trend < 0.001), and eggs (P for trend < 0.001) decreased in women. The total scores of Diet Quality Index-International (DQI-I) (men P < 0.001, women P < 0.01) and Korean Healthy Eating Index (KHEI) (men and women P < 0.001) were significantly lower in the MetS group compared to the other groups, and the total score of DQI-I and KHEI tended to decrease as the number of metabolic risk factors increased. Conclusions: Dietary quality evaluation using various indices can provide more information on the dietary problems related to metabolic risk factors. Nutrients and foods that have been confirmed to be related to metabolic risk factors can be used to develop dietary guidelines for the nutritional management of metabolic diseases.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.24 no.4
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• pp.566-577
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• 2014

Objectives: The purpose of this study was to evaluate the predictors of metabolic syndrome among police officers and determine its prevalence. Methods: Data were collected through a questionnaire survey and medical examination among 1,089 male police officers from 2010 to 2013. Information about age, marital status, smoking, drinking and exercise were based on data from the self-administered questionnaire. We collected job type, working position, and work duration from company personnel data and the indices of metabolic syndrome through the medical examination. Metabolic syndrome was assessed according to the NCEP-ATP III definition and the Asia-Pacific obesity guidelines. Results: The prevalence of metabolic syndrome among the 1,089 police officers was 33.4%. The prevalence of metabolic influencing factors were 47.5% for abdominal obesity, 30.1% for hypertension, 37.1% for hypertriglyceridemia, 22.0% for low HDL-cholesteralemia and 13.2% for hyperglycemia. Factors such as age, drinking, and family history were significantly associated with metabolic syndrome. Conclusions: Weight control and a moderate drinking program may decrease the prevalence of metabolic syndrome among male police officers.

• Biomedical Science Letters
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• v.23 no.2
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• pp.57-63
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• 2017

A new body adiposity index (BAI) has been proposed that is expected to replace body mass index (BMI). We evaluated the correlations between metabolic syndrome risk factors and BAI, BMI, and other adiposity indices, such as waist circumference (WC), waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR), by sex in the Korean population. We also evaluated whether BAI would be useful to diagnose metabolic syndrome. A total of 20,961 Korean adults who underwent health examinations were included in this study. The metabolic syndrome diagnostic criteria used in this study were those set by the American Heart Association/National Heart, Lung, and Blood Institute (AHA/NHLBI). In men (12,719), BMI and WHtR were more strongly correlated to metabolic syndrome risk than BAI, and in women (8,242), WHtR showed the strongest association with metabolic syndrome risk. BAI (area under the curve [AUC] = 0.678) presented lower discriminatory capacity than that of BMI (AUC = 0.836) for diagnosing metabolic syndrome. Moreover, BAI underestimated fat levels in men and women when considering the ability to discriminate overweight and obese individuals. In conclusion, WHtR and BMI in men, and WHtR in women may be better candidates than BAI to evaluate metabolic risk factors in Korean adults.