• Journal of Sasang Constitutional Medicine
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• v.25 no.1
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• pp.1-13
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• 2013

Objectives This study is to investigate the related factors to contribute the metabolic syndrome according to Sasang Constitution. Methods Nine hundred twenty six persons out of 1774 persons, over 40 years old, participated in community-based cohort in Wonju City of South Korea from June 2006 to August 2009. The diagnosis of metabolic syndrome was carried out by NCEP-ATP III(National Cholesterol Education Program in Adult Treatment Panel III) and Asian Pacific Criteria for abdominal obesity. The related factors were checked using questionnaire and blood samples. Sasang Constitution was verified by a Sasang Constitution specialist using the results of PSSC(Phonetic System for Sasang Constitution), facial pictures and simplified Sasang Constitutional questionnaires. Metabolic syndrome incidence rate according to Sasang Constitution and binary logistic regression analysis were performed with SPSS 19.0. Results Metabolic syndrome incidence rate was 30.3% and the majority of newly categorized as metabolic syndrome was Taeeumin(40.7%). There were significant risk factors like systolic blood pressure, fasting blood sugar, triglyceride and female and a significant defense factor like HDL-cholesterol. In terms of constitutional view, there were significant risk factors like waist circumference, systolic blood pressure, triglyceride in Soyangin, female, waist circumference, systolic blood pressure, fasting blood sugar, triglyceride in Taeeumin, female, waist circumference, systolic blood pressure, triglyceride in Soeumin. And there was a significant defense factor like HDL-cholesterol in only Taeeumin. Conclusions Regimens on metabolic syndrome were considered to be changed according to Sasang Constitution. Taeeumin female and Soeumin female should be cautious of body weight and metabolic syndrome when elderly. There are more cautious risk factors in each constitution; systolic blood pressure and triglyceride in Soyangin and fasting blood sugar and serum lipids levels in Soeumin and Taeeumin.

• Nutrition Research and Practice
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• v.7 no.3
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• pp.233-241
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• 2013

There are limited data on healthy dietary patterns protective against metabolic syndrome (MetSyn) development. We identified dietary patterns among middle-aged and older adults and investigated the associations with the incidence of MetSyn. A population-based prospective cohort study included 5,251 male and female Koreans aged 40-69 years. At baseline, all individuals were free of MetSyn, other major metabolic diseases, and known cardiovascular disease or cancer. Cases of MetSyn were ascertained over a 6-year of follow-up. Dietary patterns and their factor scores were generated by factor analysis using the data of a food frequency questionnaire. We performed pooled logistic regression analysis to estimate multivariable-adjusted relative risk (RR) and 95% confidence interval (CI) for associations between factor scores and MetSyn risk. Two dietary patterns were identified; (1) a healthy dietary pattern, which included a variety of foods such as fish, seafood, vegetables, seaweed, protein foods, fruits, dairy products, and grains; and (2) an unhealthy dietary pattern, which included a limited number of food items. After controlling for confounding factors, factor scores for the healthy dietary pattern were inversely associated with MetSyn risk (P-value for trend < 0.05) while those for the unhealthy dietary pattern had no association. Individuals in the top quintile of the healthy diet scores showed a multivariable-adjusted RR [95% CI] of 0.76 [0.60-0.97] for MetSyn risk compared with those in the bottom quintile. The beneficial effects were derived from inverse associations with abdominal obesity, low HDL-cholesterol levels, and high fasting glucose levels. Our findings suggest that a variety of healthy food choices is recommended to prevent MetSyn.

• 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.

• 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.

• Journal of Korean society of Dental Hygiene
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• v.12 no.3
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• pp.597-609
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• 2012

Objectives : The purpose of this study was to determine the influence of workers health behaviorals, oral health behaviorals and metabolic syndrome risk factors on oral health and to identify the relationship between these. and then, a basis data propose for integrative health promotion programs development and effective Management measures. Methods : The subjects were 4,600 workers working at a industrial place in North Gyeongsang Province, data were collected from July 13, 2010 to September 12, 2010. using the results of the subjects medical check-ups and Oral examinations, this study was performed. collected data included workers general characteristics, job characteristics, and smoking, drinking, exercise behavior as lifestyle factors, and waist measurement, fasting blood sugar level, systolic blood pressure, diastolic blood pressure, the level of Triglyceride and HDL-cholesterol as metabolic syndrome risk factor indicator. Data were analyzed by descriptive statistics, chi-square test, correlation analysis, logistic regression using SPSS 18.0. Results : In results of the subjects medical check-ups, 14.1% were above the criterion value of waist measurement, 2.5% fasting blood sugar level, 8.5% hypertension, 16.8% Triglyceride level and 4.0% HDL-cholesterol respectively. according to oral examination results, showing that 43.3% inflammation of the gums. The inflammation of the gums was correlated with gender, age, dental clinic visit, scaling management, smoking, exercise behavior and high triglyceride level and hypertension of metabolic syndrome risk factor indicators. In addition, this result was statistically significant. Conclusions : Based on this study, the workers health should be managed actively and effectively by using periodical workers health check-ups. At a corporate level, the institutional supports were achieved and arranged for activation of regular oral health education programs, and the prevention plan of metabolic syndrome were needed for changing exercise behavior by conducting suitable exercise programs.

• Journal of Medicine and Life Science
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• v.17 no.2
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• pp.47-52
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• 2020

Glucagon regulates glucose and fat metabolism as well as being involved in the production of ketone bodies. The new antidiabetic drug, a sodium-glucose co-transporter-2 inhibitor, increases glucagon, and reduces the risk of cardiovascular death and hospitalization due to heart failure. The presence of metabolic syndrome is an important risk factor for cardiovascular diseases(CVD) in type 2 diabetes(T2DM) patients. We, thus, investigated the association between glucagon levels and metabolic syndrome in T2DM patients. This cross-sectional study involved 317 T2DM patients. Fasting and postprandial (30 min after ingestion of a standard mixed meal) glucagon levels were measured. Metabolic syndrome was defined according to the criteria of the International Diabetes Federation. A multiple regression logistic analysis was employed for statistical evaluation. A total of 219 (69%) subjects had metabolic syndrome. The fasting and postprandial glucagon levels did not differ between the group with metabolic syndrome and the group without. Postprandial glucagon levels increased significantly with the increase in the number of metabolic syndrome components, but the fasting levels did not. However, a hierarchical logistic regression analysis revealed that the postprandial glucagon levels did not contribute significantly to metabolic syndrome even after adjusting for other covariates. Fasting and postprandial glucagon levels are not associated with metabolic syndrome in T2DM patients. However, further studies are needed to investigate the relationship between glucagon and cardiovascular risk in patients with T2DM.

• 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 muscle and joint health
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• v.29 no.1
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• pp.1-10
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• 2022

Purpose: Metabolic syndrome is known as a factor that increases the incidence of chronic diseases, such as diabetes and cardiovascular disease. In particular, the metabolic syndrome among a middle-aged population is rapidly increasing from 15.6% to 31.9%. The purpose of this study was to investigate the effect of muscle strength exercise on the metabolic syndrome in middle aged. Methods: This study was a secondary data analysis using National Health and Nutrition Survey 8th, including 2,739 middle aged people (40~64 years old). We used multivariate logistic regression to identify risk factors associated with metabolic syndrome. Statistical analysis was performed using the SPSS 23.0 program. Results: There were 772 patients in the group with metabolic syndrome and 1,967 patients in the non-metabolic syndrome group. The risk of metabolic syndrome was 1.29 times higher in those who did not do muscle strength exercise than those who did exercise (OR=1.29, 95% CI=1.01~1.66). Conclusion: We have found that muscle strength exercise was effective in lowering the risk of developing metabolic syndrome in middle aged. Thus, it is necessary to develop practical muscle strength exercise and education programs.

• Nutrition Research and Practice
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• v.8 no.1
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• pp.94-102
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• 2014

Diet attrition and failure of long term treatment are very frequent in obese patients. This study aimed to identify pre-treatment variables determining dropout and to customise the characteristics of those most likely to abandon the program before treatment, thus making it possible to modify the therapy to increase compliance. A total of 146 outpatients were consecutively enrolled; 73 patients followed a prescriptive diet while 73 followed a novel brief group Cognitive Behavioural Treatment (CBT) in addition to prescriptive diet. The two interventions lasted for six months. Anthropometric, demographic, psychological parameters and feeding behaviour were assessed, the last two with the Italian instrument VCAO Ansisa; than, a semi-structured interview was performed on motivation to lose weight. To identify the baseline dropout risk factors among these parameters, univariate and multivariate logistic models were used. Comparison of the results in the two different treatments showed a higher attrition rate in CBT group, despite no statistically significant difference between the two treatment arms (P = 0.127). Dropout patients did not differ significantly from those who did not dropout with regards to sex, age, Body Mass Index (BMI), history of cycling, education, work and marriage. Regardless of weight loss, the most important factor that determines the dropout appears to be a high level of stress revealed by General Health Questionnaire-28 items (GHQ-28) score within VCAO test. The identification of hindering factors during the assessment is fundamental to reduce the dropout risk. For subjects at risk, it would be useful to dedicate a stress management program before beginning a dietary restriction.

• Journal of Korean Biological Nursing Science
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• v.21 no.2
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• pp.123-132
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• 2019

Purpose: The purpose of this study was to identify influencing factors of metabolic index and cardiovascular risk factors, on depressive and non-depressive groups, in vulnerable diabetic elderly women. Methods: Participants were 137 vulnerable diabetic elderly women, using health centers in D city. Data were collected through interviews September though December 2017. The metabolic index was measured using National Cholesterol Education Program-Adult Treatment Panel III (NCEP-ATP III), and cardiovascular risk factors were measured using Framingham Risk Score (FRS). Depressive and non-depressive groups were divided by the score of Geriartric Depress Scale Short Korea Version (GDSSF). Collected data were analyzed using a x2 test, independent t-test, and binary logistic regression, with the SPSS/WIN 25.0 program. Results: Vulnerable diabetic elderly women, did not exercise in the depressive groups, and had higher triglyceride (TG), total cholesterol (TC) and larger waists, than in the non-depressive group. Results show that lack of exercise (OR= 6.30), is the highest risk factor, influencing the depressive symptom in vulnerable diabetic elderly women. Conclusion: These results suggest that to reduce depressive symptom levels among vulnerable diabetic elderly women, nursing interventions are needed to increase exercise and decrease TG, TC, and waist size, particularly in improving exercise of vulnerable diabetic elderly women.