• 대한의생명과학회지
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• 제23권4호
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• pp.348-354
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• 2017

TyG (triglyceride and glucose) index using triglyceride and fasting blood glucose is recommended as a useful marker for insulin resistance. The present study evaluated the usefulness of TyG index in diagnosing metabolic syndrome and suggested an optimal cut-off value. The subjects of this study were adult 4,415 adults aged 20 to 80 years who underwent health screening at J General Hospital from January 2016 to January 2017. Metabolic syndrome was based on AHA/NHLBI (American Heart Association/National Heart, Lung, and Blood Institute) criteria. TyG index correlated with metabolic syndrome risk factors including HOMA-IR. Compared with the participants in the lowest quartile of TyG index, odds ratios and 95% confidence intervals for metabolic syndrome were 8.5 (3.005~23.903), 20.0 (17.190~23.407) for those in the third, and the fourth quartile of TyG index. The optimal cut-off value of the metabolic syndrome was 8.81 for TyG index (sensitivity 86.7%, specificity 80.1%) and area under the ROC curve (AUC) was 0.894. In conclusion, TyG index is effective to identify individuals at risk for metabolic syndrome.

• 대한의생명과학회지
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• 제23권2호
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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.

• 대한방사선기술학회지:방사선기술과학
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• 제46권5호
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• pp.367-377
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• 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 Radiology
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• 제23권10호
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• pp.986-997
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• 2022

Objective: Whether metabolic redistribution occurs in patients with white matter hyperintensities (WMHs) on magnetic resonance imaging (MRI) is unknown. This study aimed 1) to propose a measure of the brain metabolic network for an individual patient and preliminarily apply it to identify impaired metabolic networks in patients with WMHs, and 2) to explore the clinical and imaging features of metabolic redistribution in patients with WMHs. Materials and Methods: This study included 50 patients with WMHs and 70 healthy controls (HCs) who underwent ¹⁸F-fluorodeoxyglucose-positron emission tomography/MRI. Various global property parameters according to graph theory and an individual parameter of brain metabolic network called "individual contribution index" were obtained. Parameter values were compared between the WMH and HC groups. The performance of the parameters in discriminating between the two groups was assessed using the area under the receiver operating characteristic curve (AUC). The correlation between the individual contribution index and Fazekas score was assessed, and the interaction between age and individual contribution index was determined. A generalized linear model was fitted with the individual contribution index as the dependent variable and the mean standardized uptake value (SUV_mean) of nodes in the whole-brain network or seven classic functional networks as independent variables to determine their association. Results: The means ± standard deviations of the individual contribution index were (0.697 ± 10.9) × 10^-3 and (0.0967 ± 0.0545) × 10^-3 in the WMH and HC groups, respectively (p < 0.001). The AUC of the individual contribution index was 0.864 (95% confidence interval, 0.785-0.943). A positive correlation was identified between the individual contribution index and the Fazekas scores in patients with WMHs (r = 0.57, p < 0.001). Age and individual contribution index demonstrated a significant interaction effect on the Fazekas score. A significant direct association was observed between the individual contribution index and the SUV_mean of the limbic network (p < 0.001). Conclusion: The individual contribution index may demonstrate the redistribution of the brain metabolic network in patients with WMHs.

• 한국식생활문화학회지
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• 제37권4호
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• pp.376-384
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• 2022

This study was performed to develop a K_diet-index based on the definitions and characteristics of traditional Korean food. The Korean Food Pattern Index (K_diet-index) for diseases was applied using dietary data from the 2017 National Health and Nutrition Examination Survey (KNHANES) and the association between K_diet-index and metabolic disease was confirmed. The study subjects were 1,971 Korean adults aged >40, and the components were classified according to 14 criteria used to establish the K_diet-index. Main ingredients up to the top 3 were designated using dish names, ingredients, and contents using KNHANES dietary data. K_diet-index was classified using scores of ≤3 points, 4-7 points, and ≥8 points and total K_diet-index were calculated by summing dietary scores. Correlations between K_diet-index and obesity, hypertension, hyperlipidemia, and diabetes were analyzed. The odds ratio (OR) and 95% confidence interval (CI) for obesity were 0.531, 0.385~0.732 and for elevated cholesterol (≥240 mg/dL) indices were 0.471, 0.282~0.788, respectively, which showed a significant decreased in the risk for each disease for K_diet-index of ≥8 points. This study confirms that metabolically related clinical results improved significantly as K_diet-index increased and that higher Korean food pattern indices are associated with lower risks of metabolic disease

• 대한지역사회영양학회지
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• 제25권1호
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• pp.61-70
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• 2020

Objectives: This study examined the association of the total diet quality with the incidence risk of metabolic syndrome constituents and metabolic syndrome among Korean adults. Methods: Based on a community-based cohort of the Korean Genome and Epidemiology Study (KoGES) from 2001 to 2014, data from a total of 5,549 subjects (2,805 men & 2,744 women) aged 40~69 years at the baseline with a total follow-up period of 38,166 person-years were analyzed. The criteria of the National Cholesterol Education Program Adult Treatment Panel was employed to define metabolic syndrome. The total diet quality was estimated using the Korean Healthy Eating Index (KHEI). Hazard ratios (HR) and 95% confidence intervals (CI) for risk of metabolic syndrome constituents and metabolic syndrome in relation to KHEI quintile groups was calculated by multivariate Cox proportional hazards regression model. Results: After adjusting for age, energy intake, income, education, physical activity, smoking, and drinking, the incidence of abdominal obesity and high blood pressure was significantly lower, by approximately 29.7% (P < 0.01) and 25.2% (P < 0.01), respectively, in the fifth KHEI quintile compared to the first quintile in men. A significant decreasing trend of the metabolic syndrome incidence was observed across the improving levels of KHEI (HRq5vs.q1: 0.775, 95% CIq5vs.q1: 0.619~0.971, P for trend < 0.01). In women, the incidence of abdominal obesity and metabolic syndrome was significantly lower, by approximately 29.8% (P < 0.01) and 22.5% (P < 0.05), respectively, in the fifth KHEI quintile compared to the first quintile adjusting for multiple covariates. On the other hand, the linear trend of metabolic syndrome risk across the KHEI levels did not reach the significance level. Conclusions: A better diet quality can prevent future metabolic syndrome and its certain risk factors among Korean men and women.

• 동의생리병리학회지
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• 제24권3호
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• pp.519-524
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• 2010

This clinical study was done to examine comparison the prevalence of metabolic syndrome and obesity index between patients with silent lacunar infarction and normal controls. We compared the components of metabolic syndrome and obesity index between patients silent lacunar infarction(n=62) and normal controls(n=72). The analysis of the data was done by Frequency Analysis, two sample t-test, Chi-square Test. Hypertension and diabetes mellitus was significantly higher in patients of silent lacunar infarctions. Body mass index (BMI), waist-hip ratio (WHR), body fat percentage, obesity ratio, metabolic syndrome were higher significantly in patients of silent lacunar infarctions than normal controls. Although statistically insignificant, waist circumference showed relatively higher in patients of silent lacunar infarction. This result emphasizes the importance of managing that hypertension, diabetes, body mass index (BMI), waist-hip ratio (WHR), body fat percentage, obesity ratio, metabolic syndrome in silent lacunar infarction.

• 대한지역사회영양학회지
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• 제27권3호
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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.

• Clinical and Experimental Pediatrics
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• 제50권7호
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• pp.629-635
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• 2007

목 적 : 본 연구는 소아에서 새로운 체성분 표시법인 체지방량지수(fat mass index, FMI)와 제지방량지수(fat-free mass index, FFMI)의 유용성을 평가하기 위해 수행되었다. 방 법 : 2006년 과천시 초등학교 2학년 학생 466명(남아 : 248명, 여아 : 218명)을 대상으로 체성분 분석을 비롯한 신체계측과 혈액검사를 시행하였다. 신체계측 변수들 간의 상관계수와 비만지표들과 대사성 위험인자들의 상관계수를 구하였고, 체지방량지수에 의해 비만으로 진단된 소아와 정상 체지방량지수인 소아의 대사성 위험인자를 비교하였다. 본 연구 대상자의 체지방량지수 및 제지방량지수 백분위수 분포와 Nakao 등이 제시한 일본 소아의 체지방량지수와 제지방량지수 백분위수 분포를 비교하였다. 결 과 : 본 연구대상자들은 후쿠오카 지역의 소아에 비해 체지방량지수는 작고 제지방량지수는 컸다. 체지방량지수는 기존의 비만지표 및 여러 대사성 위험인자와 상관관계가 있었으며, 체지방량지수가 증가함에 따라 대사 질환의 위험도가 증가되었다. 결 론 : 과천지역의 초등학교 2학년 소아에서 새로운 체성분 표현방법인 체지방량지수와 제지방량지수는 체격과 성장이 다른 소아의 체성분의 차이를 비교하는데 유용하였으며, 체지방량지수의 증가는 대사질환 위험의 증가와 관련이 있었다. 체지방량지수와 제지방량지수를 임상에서 널리 사용되기 위해서는 국내 소아의 성별 연령별 체지방량지수와 제지방량지수 정상 표준치에 대한 연구가 필요하다.

• 한국치위생학회지
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• 제16권6호
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• pp.979-991
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• 2016

Objectives: The objective of the study is to investigate the effect of oral health belief and metabolic syndrome on CPITN. Methods: A self-reported questionnaire was completed by 847 adult visitors over 20 years old in Busan from August 1 to December 31, 2011. Except incomplete answers, 776 data were analyzed by t-test, one way ANOVA, and logistic regression analysis using SPSS 20.0 program. The questionnaire comprised general characteristics of the subjects, oral health behavior, and metabolic syndrome related risk factors. Results: There was statistically significant difference of an oral health belief rating between the groups receiving oral health education. Community periodontal index had statistically significant difference depending on smoking and waist circumference. To analyze related factors of community periodontal index, multiple logistic regression analysis was performed. As the final outcome, gender, age, benefit, salience, scaling experience, experience of oral health education, and related factors and metabolic syndrome were shown to impact on significant influence (p<0.05). Conclusions: Thus, To manage the effective oral health, it is necessary to control the factors of metabolic syndrome and oral health.