• 디지털융복합연구
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• 제14권7호
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• pp.269-277
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• 2016

본 연구에서는 한국인의 대표성이 있는 자료인 국민건강영양조사 자료를 이용하여 대사증후군 및 그 구성요소들과 골 관절염의 상관관계에 관하여 조사하였다. 여성의 경우, 골 관절염군에서 대사증후군의 유병률이 증가하였으며, 여성에서 대사증후군의 구성요소들, 예를 들어 허리둘레, 중성지질, 수축기 혈압, HDL-콜레스테롤과 골 관절염의 유병률은 통계적으로 유의한 상관관계가 있음이 증명되었다. 또한 생활습관변수 및 사회경제적 변수로 보정하였을 때 대사증후군의 위험요소의 수가 증가할수록 골 관절염의 위험도는 더욱 커지는 경향을 보였다 (p<0.0001). 따라서 이번 연구에서 제시되어진 바와 같이 대사증후군은 골 관절염의 새로운 위험인자로서 인식되어야 하며 골 관절염의 예방과 치료 시 대사증후군 역시 고려되어야 할 요소의 하나로 사료된다.

• 대한한방내과학회지
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• 제43권6호
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• pp.1063-1074
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• 2022

Objectives: The aim of this study was to investigate the differences in the prevalence of metabolic syndrome (MetS) according to the Sasang constitution (SC) and cold and heat pattern identification (CHPI). Methods: SC, CHPI, MetS, and component data were obtained from 2,561 participants in 26 Korean medical clinics from 2007 to 2013. SC, diagnosed by Korean medicine doctors, was confirmed by positive responses to herbal medicines administered according to that constitution. The CHPI was verified by a questionnaire about thermal sensitivity and drinking habits. The diagnosis criteria for MetS were: 1) waist circumference (WC) ≥90 cm (male) and ≥80 cm (female); 2) triglycerides ≥150 mg/dL; 3) high density lipoprotein cholesterol (HDL) <40 mg/dL (male) and <50 mg/dL (female); 4) blood pressure ≧130/85 mmHg; and 5) fasting blood glucose ≥100 mg/dL. Odds ratios (ORs) and differences in MetS and its components were compared using logistic regression and ANCOVA. Results: The MetS prevalence rates were 54.1%, 22.0%, and 33.3% for Taeeumin (TE), Soeumin (SE), and Soyangin (SY), respectively, and 30.5% and 44.5% for the cold and heat patterns, respectively. ANCOVA for MetS components showed significantly higher WC in TE than in SE or SY, and all components except HDL were higher in the heat pattern group than in the cold pattern group. Logistic regression for MetS prevalence showed a significant association between TE and the heat pattern group (OR=1.653) but not for non-TE and the cold pattern group. Conclusions: Considering SC and CHPI together may be more effective in managing MetS than considering SC alone.

• 사상체질의학회지
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• 제21권2호
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• pp.123-136
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• 2009

1. Objectives : This study is a pilot study to construct of metabolic syndrome model with constitutional type. We focused on the correlation of Metabolic syndrome(MetS) and ordinary symptoms with Taeumin at 40. 2. Methods : 32 subjects who had taken health examinations and diagnosis of Sasang constitution from Oct 1, 2008 to Dec 31, 2008 at Kyung-Hee medical center were included and underwent B-mode ultrasonography for measurement of intima-media thickness of common carotid arteries. MetS was defined by the criteria of the criteria of the National Cholesterol Education Program Adult Treatment Panel III. 3. Results and Conclusions : Mean intima-media thickness of common carotid artery was higher in subjects with MetS compared with control subjects(0.56$\pm$0.12 vs 0.54$\pm$0.08mm) however. The ordinary symptoms shown to differentiate the MetS group and the control group were related to "dark urine color," "dryness of eyes," and "night sweat". Therefore, these ordinary symptoms can be said to be indicators of the Taeumin with Mets syndrome.

• Nutrition Research and Practice
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• 제10권1호
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• pp.67-73
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• 2016

BACKGROUND/OBJECTIVES: This study was aimed at examining the association between dietary flavanones intake and lipid profiles according to the presence of metabolic syndrome (MetS) in Korean women with type 2 diabetes mellitus (T2DM). SUBJECTS/METHODS: A cross-sectional analysis was performed among 502 female T2DM patients (non-MetS group; n = 129, MetS group; n = 373) who were recruited from the Huh's Diabetes Clinic in Seoul, Korea between 2005 and 2011. The dietary intake was assessed by a validated semi-quantitative food frequency questionnaire (FFQ) and the data was analyzed using the Computer Aided Nutritional Analysis program (CAN-Pro) version 4.0 software. The intake of flavanones was estimated on the basis of the flavonoid database. RESULTS: In the multiple linear regression analysis after adjustment for confounding factors, daily flavanones intake was negatively associated with CVD risk factors such as total cholesterol, LDL-cholesterol, and apoB and apoB/apoA1 ratio only in the MetS group but not in the non-MetS group. Multiple logistic regression analysis revealed that the odds ratio for a higher apoB/apoA1 ratio above the median (${\geq}0.74$) was significantly low in the $4^{th}$ quartile compared to that in the $1^{st}$ quartile of dietary flavanones intake [OR: 0.477, 95% CI: 0.255-0.894, P for trend = 0.0377] in the MetS group. CONCLUSIONS: Dietary flavanones intake was inversely associated with the apoB/apoA1 ratio, suggesting a potential protective effect of flavanones against CVD in T2DM women with MetS.

• 한국농촌간호학회지
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• 제7권1호
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• pp.5-17
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• 2012

Purpose: The objectives of this study were to investigate the prevalence of the metabolic syndrome (MetS) and to identify associated factors with MetS among rural residents. Methods: Data were collected from 1,196 subjects over aged 30 years by a self-administered questionnaire, physical measurement, and blood test in a rural area. The prevalence of MetS was determined by the criteria of the American Heart Association/National Heart, Lung, and Blood Institute (AHA/NHLBI) and 2005 the Korean society for the study of obesity. Results: The prevalence of MetS was 40.5% for men, 49.2% for women. The prevalence of risk factors of MetS was 57.4% for elevated blood pressure, 49.0% for low HDL-cholesterol, and 48.6% for abdominal obesity. Unemployment and higher Body mass index (BMI) were associated factors for MetS regardless of gender. And higher age and physical inactivity in women only increased the odds of the MetS. Especially, BMI was a strong risk factor of MetS in both men and women. Conclusion: The prevalence of metabolic syndrome was higher in a rural area. Therefore, health care providers should develop lifestyle modification program to increase physical activity level and to prevent the obesity among rural residents in order to decrease the prevalence of MetS.

• 한국치위생학회지
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• 제20권3호
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• pp.313-324
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• 2020

Objectives: The aim of this study was to confirm the association among the health status, health behaviors, and periodontitis according to total, age and sex in cases of adult metabolic syndrome(MetS). Methods: This cross-sectional study used collected data from the 7^th Korea National Health and Nutrition Examination Survey (KNHANES) conducted from 2016 to 2018 with 3,394 adults with MetS aged 19-79 years. The complex samples logistic regression analysis confirmed the relevant factors for periodontitis. Results:Periodontitis was diagnosed in 43.6% of all MetS cases. Diabetes (Odds Ratio [OR]=1.554), abdominal obesity (OR=1.336), current smoking (OR=2.465), past smoking (OR=1.379), and not-using oral care products (OR=1.414) were associated with periodontitis in MetS. In the age of 19-39 years with MetS group, diabetes (OR=5.379), elevated blood pressure (OR=3.975), current smoking (OR=7.430), and not using oral care products (OR=3.356) were associated with periodontitis. In the 40-79 age group, diabetes (OR=1.398), abdominal obesity (OR=1.360), current smoking (OR=2.022), and not using oral care products (OR=1.416) were associated with periodontitis. In the male MetS group, current smoking (OR=3.119), past smoking (OR=1.625), and brushing teeth more than three times (OR=0.743) were associated with periodontitis. In the female MetS group, diabetes (OR=1.733), impaired fasting glucose (OR=1.434), abdominal obesity (OR=1.479), and not using oral care products (OR=1.992) were associated with periodontitis. Conclusions: Improvement in blood sugar control, obesity, smoking cessation, and oral health education, including how to use oral care products in all individuals with MetS may result in improved oral health. In addition, improvement in elevated blood pressure in the MetS group aged under 40 years, and brushing teeth more than three times a day in the male MetS group can reduce the risk of periodontitis. Therefore, public and oral health professionals should emphasize on the relationship between age and sex during the metabolic syndrome management program and share relevant information with patients.

• 한국식품영양학회지
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• 제29권4호
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• pp.456-464
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• 2016

The purpose of this study was to compare the quantitative and qualitative assessment of dietary intake between patients with metabolic syndrome (MetS) and healthy subjects and to investigate dietary factors related to MetS. Anthropometric measurements, blood analysis, and dietary intake as assessed by 24-hour recall were conducted in MetS patients (n=15) and healthy subjects (n=25). In order to assess the quantity and quality of dietary intake, daily nutrient intake, nutrient density, nutrient intake to dietary reference intake (DRI), nutrient adequacy ratio (NAR), food intake, dietary diversity score (DDS), and dietary variety score (DVS) were analyzed. The statistical differences between MetS patients and controls were analyzed using the SAS software program. Daily energy intake and food intake were not significantly different between the two groups (2,154.3 kcal vs. 1,872.9 kcal; 1,280.0 g vs. 1,261.6 g). There were also no significant differences in daily nutrient intake, nutrient intake ratio to DRI, NAR, or DVS between the MetS group and the control group. However, daily intake of eggs and milk in MetS patients was significantly lower than in the control group (9.0 g/day vs. 30.3 g/day, p<0.05; 0 g/day vs. 49.7 g/day, p<0.05). These results indicate that low intake of eggs and dairy products may be related to the development of MetS.

• Clinical and Experimental Pediatrics
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• 제62권8호
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• pp.317-323
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• 2019

Purpose: Investigating the prevalence of hyperuricemia and its association with metabolic syndrome (MetS) and cardiometabolic risk factors (CMRFs) in Korean children and adolescents. Methods: This cross-sectional survey used data from the 7th Korea National Health and Nutrition Examination Survey (2016-2017); 1,256 males and females aged 10-18 years were included. Hyperuricemia was defined as serum uric acid levels were >6.6 mg/dL at 10-11 years of age (both sexes), >7.7 mg/dL for males at 12-18 years of age and >5.7 mg/dL for females at 12-18 years of age. MetS was defined by the International Diabetes Federation criteria. Logistic regression analysis was used to analyze hyperuricemia-associated risk factors. Results: The prevalence of hyperuricemia was 9.4% (male, 8.4%; female, 10.5%) (P<0.281). After adjusting for sociodemographic factors and health behaviors in multivariate analysis (model 1), the odds ratio (OR) for hyperuricemia of MetS was 3.05 (95% confidence interval [CI], 1.17-7.92; P=0.022). After adjusting for the same variables in model 1 plus obesity and all MetS components (model 2), only abdominal obesity was significant, and the OR for hyperuricemia was 3.38 (95% CI, 1.72-6.63; P<0.001) After adjusting for the same variables in model 1 plus body mass index (BMI) z scores and all MetS components except abdominal obesity (model 3), only BMI z scores was significant, and the OR for hyperuricemia was 1.59 (95% CI, 1.34-1.89; P<0.001). Conclusion: MetS, abdominal obesity, and BMI z scores were CMRFs significantly associated with hyperuricemia in Korean children and adolescents. Therefore, attention should be paid to hyperuricemia in patients with obesity or MetS.

• Nutrition Research and Practice
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• 제15권1호
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• pp.80-94
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• 2021

BACKGROUND/OBJECTIVES: Recent studies have reported chocolate consumption has beneficial effects on blood pressure, obesity, and dyslipidemia, which are components of metabolic syndrome (MetS). However, evidence regarding these relationships in Asia is limited. The aim of this study was to investigate relations between chocolate consumption and MetS in Korea. SUBJECTS/METHODS: Study subjects were 6,982 adults aged 19-64 years free of major chronic diseases that participated in the 2014-2016 Korea National Health and Nutrition Examination Survey. Information on chocolate consumption was obtained using food frequency questionnaires. For primary analysis, subjects were divided into two groups: non-consumer (n = 3,741, 53.6%); consumer (n = 3,241, 46.4%). In order to investigate dose-response effects on MetS, chocolate consumers were divided into quartiles based on amounts consumed: Q1 (n = 789, 24.3%); Q2 (n = 837, 25.8%); Q3 (n = 863, 26.6%); Q4 (n = 752, 23.2%) in second analysis. RESULTS: Chocolate consumers; 1) were more physically active(P < 0.0001); 2) less likely to smoke(P < 0.0001); 3) paid more attention to food nutrition labels (P < 0.0001), and 4) had healthier dietary patterns, that is, they consumed vegetables, fruits, and dairy products more frequently(P < 0.0001) than non-consumers. Furthermore, chocolate consumers had a 30% lower risk of MetS (odds ratio, 0.70; 95% confidence interval, 0.58-0.86; P = 0.0005). However, dose-response effects between chocolate intake and MetS was not found by secondary analysis after excluding non-consumers. CONCLUSIONS: In conclusion, chocolate consumers had healthier lifestyles and dietary patterns and a lower prevalence of MetS than non-consumers, as determined by our primary analysis. Although dose-response effects were not found to be significant among chocolate consumers during secondary analysis, the patterns were partially similar. This cross-sectional finding shows chocolate consumption does not increase the risk of MetS. The prospective studies and intervention trials in Korea are needed to confirm this cross-sectional finding.

• Clinical Nutrition Research
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• 제12권2호
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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.