• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.8
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• pp.5159-5168
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• 2014

The study examined the relationship among metal health, metabolic syndrome and nutrient acceptance according to gender. Implemented until 2010-2012, the 5th Korean National Health and Nutrition Examination Survey, as an original document, was used for the study. The target was problem drinkers with more than 12 points under AUDIT. Regarding mental health, it was classified into stress, depression and suicidal impulse. Metabolic syndrome was defined when three causes of BMI, waist circumference, FBS, HDL and BP were out of the normal range. The nutrient intake was obtained to confirm the energy intake of nine non-nutrients (Nutrient adequacy ratio: NAR) and the proper intake of the average non-nutrient (Mean adequacy ratio: MAR). These variables were analyzed by frequency, cross analysis and multiple regression analysis through SPSS18.0. In the general features, there was a significant difference according to age, occupation and marital status. In mental health, stress, depression and suicidal impulse were examined. Metabolic syndrome was dependant on FBS, HDL and BP. The nutrient acceptance depended on calcium, vitamin A, thiamine, riboflavin, niacin, vitamin C, and MAR. Logistic regression analysis performed on the variables showed significant differences. Stress, depression, and thoughts of suicide was significantly higher in men aged 19-29 years, and women aged 30-49 years. In the case of the male, those who employed have metabolic syndrome more than those who unemployed. In terms of female, those who were belonged into the middle - low economic level have undergone with metabolic syndrome. In the part of a Mean adequacy ratio(MAR), the male who unmarried, employed, were in the middle low economic levelwere higher. In the case of the female, it was higher for those who were in the middle - low economic level. Overall, an effective way of planning the solution regarding mental health, metabolic syndrome and nutrient intake can be found by considering these features.

• Journal of Life Science
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• v.20 no.12
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• pp.1812-1819
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• 2010

Skipping breakfast is a risk factor closely related to metabolic syndrome and obesity. We analyzed the relationship between breakfast size, metabolic syndrome and obesity. The study included 5,548 adults who visited a health promotion center at Pusan National University from January to November of 2006. Subjects were divided into four groups according to breakfast size - skipper group (no breakfast), small intake group, medium intake group and large intake group. 959 (17.3%) of the 5548 subjects were included in the Skipper group. Intake of daily calories, proteins, carbohydrates and fats was the lowest in the Skipper group. Breakfast size increased linearly with an increased intake of daily calories, proteins, carbohydrates and fats. Body mass index ($23.4\;kg/m^2$) and waist circumference (79.6 cm) were the lowest in the Small intake group. In the Small intake group, triglycerides, fasting plasma glucose, systolic blood pressure and diastolic blood pressure were the lowest, and high density lipoprotein cholesterol levels were the highest. The number of metabolic risk factors was the lowest in Small intake group. Odds ratio of metabolic syndrome (Odds ratio=0.612) was the lowest in Small intake group. Along with increasing breakfast size, the odds ratio also increased. In this study, breakfast size was found to influence metabolic risk factors. Skipping breakfast worsened metabolic risk factors, while a small breakfast size had a favorable effect on metabolic risk factors.

• The Journal of Internal Korean Medicine
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• v.30 no.4
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• pp.761-771
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• 2009

Objectives : The aim of this study was to assess the relationship between metabolic syndrome and erythrocyte deform ability in acute stroke patients. Methods : Among 88 of the recruited patients, 52 were diagnosed as metabolic syndrome. We assessed their general characteristics, risk factors. We compared the assessed variables between metabolic syndrome and control group. We analyzed the relationship between metabolic syndrome and erythrocyte deform ability. We analyzed relationship between cardiovascular risk factors and erythrocyte deformability. Results : The general characteristics waist and hip circumference, waist/hip ratio were higher in metabolic syndrome group. The metabolic syndrome group was also diagnosed with hypertension, DM, and hyperlipidemia more often than the control group. The blood test metabolic syndrome group showed higher triglycerides, total lipids, fasting blood sugar, and 2 hours postprandial plasma glucose level and lower HDL-cholesterol than the control group. There were more patients diagnosed with Dampness-Phlegm in the metabolic syndrome group. There were more patients showing lower erythrocyte deform ability in the metabolic syndrome group. The plasma homocysteine level was negatively correlated with erythrocyte deform ability. Conclusion : The results reconfirmed that the risk factors are more in metabolic syndrome group. The results indicated that metabolic syndrome lead to a lower erythrocyte deform ability in small vessel disease stroke patients. The Plasma homocysteine level was negatively correlated with erythrocyte deform ability.

• Korean Journal of Clinical Laboratory Science
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• v.56 no.2
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• pp.125-134
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• 2024

The present study was conducted to explore relationships between anemia and estimated glomerular filtration rate (eGFR) and urine microalbumin/creatinine ratio (uACR) in Korean adults with or without metabolic syndrome (MetS). The data of 4,943 adults aged ≥20 years who participated in KNHNES V-3 (2012) were analyzed. In the non-MetS group, the odds ratio (OR) for anemia of those with a decreased eGFR {eGFR<60 mL/min/1.73 m², 3.85 (95% confidence interval [CI], 2.03~7.30)} was significant as was the OR of those with decreased eGFR plus elevated uACR (eGFR<60 mL/min/1.73 m² and uACR≥30 mg/g, 5.81 [95% CI, 2.60~13.02]). In the MetS group, ORs for anemia for those with an elevated uACR (2.18 [95% CI, 1.11~4.27]), a decreased eGFR (3.74 [95% CI, 1.11~12.55]), or a decreased eGFR plus an elevated uACR (16.79 [95% CI, 5.93~47.57]) were significant. In conclusion, in non-MetS, anemia was associated with a low eGFR, whereas in MetS, anemia was associated with a low eGFR and an elevated uACR. In addition, the OR for anemia was greatly increased when eGFR was diminished and uACR was elevated regardless of MetS and MetS status.

• Journal of Korean Academy of Nursing
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• v.41 no.6
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• pp.788-794
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• 2011

Purpose: Reduced heart rate variability significantly increases cardiovascular mortality. Metabolic syndrome increases the cardiac autonomic dysfunction. Recently, increasing cardiovascular mortality has been reported in patients with schizophrenia. This study was done to compare heart rate variability between adults with and without schizophrenia and to compare the relationship of heart rate variability to metabolic syndrome in hospitalized patients with schizophrenia. Methods: This was a descriptive and correlational study in which 719 adults without schizophrenia and 308 adults with schizophrenia took part between May and June 2008. We measured the following: five-minute heart rate variability; high-frequency, low-frequency, the ratio of low-frequency to high-frequency, and the Standard Deviation of all the normal RR intervals. Data was also collected on metabolic syndrome, abdominal obesity, triglycerides, HDL cholesterol, blood pressure and fasting glucose. Results: The Standard Deviation of all the normal RR intervals values of heart rate variability indices were $1.53{\pm}0.18$. The low-frequency and high-frequency values of heart rate variability indices were significantly higher in hospitalized patients with schizophrenia ($3.89{\pm}1.36$; $3.80{\pm}1.20$) than those in the healthy participants ($2.20{\pm}0.46$; $2.10{\pm}0.46$). There were no significant differences between the schizophrenic patients with and without metabolic syndrome. Conclusion: The results of this study indicate that schizophrenia patients have significantly lower cardiac autonomic control, but they have significantly higher low-frequency and high-frequency values than those of healthy adults. Use of antipsychotic drug may affect the autonomic nervous system in schizophrenic patients. Metabolic syndrome was not associated with cardiac autonomic control in schizophrenia patients.

• Journal of Nutrition and Health
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• v.44 no.5
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• pp.406-415
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• 2011

Recent studies have shown that high consumption of processed meat may be associated with increasing risk of metabolic syndrome, which have been suggested as a predictor of diabetes and cardiovascular disease. However, limited studies have investigated this association in Korean population. The purpose of this study was to investigate the cross-sectional association between processed meat/unprocessed (beef, pork, chicken) intakes and the prevalence of metabolic syndrome. Using data from 2007-2008 Korean National Health and Nutrition Examination Survey (KNHANES), we analyzed data including 5,545 men and women who were aged older than 20 years, and who were free of chronic disease such as hypertension, type 2 diabetes and cardiovascular disease. Subjects who frequently consumed processed meat tended to be younger and more likely to be current smokers. In addition, men were more likely to consume processed meat than women. Although higher processed/unprocessed meat intakes were significantly associated with the lower risk of metabolic syndrome in a crude model, these associations were no longer significant after adjustment for potential confounding factors. For example, comparing subjects in the highest intake quartile of processed meat with the lowest intake group, the multivariate-adjusted odds ratio (OR) of metabolic syndrome was 0.92 (95% CI: 0.58-1.46) for processed meat, 1.09 (95% CI: 0.76-1.56) for beef, 1.10 (95% CI: 0.74-1.62) for pork and 0.75 (95% CI: 0.51-1.12) for chicken. In conclusion, we found no evidence of any adverse effects of frequent processed or unprocessed meat intakes on the prevalence of metabolic syndrome among Korean adults at the exposure levels seen in this study.

• Journal of Preventive Medicine and Public Health
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• v.41 no.6
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• pp.427-433
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• 2008

Objectives: This study was performed to assess the association between physical activity and the clustering of metabolic abnormalities among Korean children. The effect of substituting moderate to vigorous physical activity for the time spent in inactivity was examined as well. Methods: The study subjects were comprised of 692 (354 boys, 338 girls) 4th grade elementary school students. We used a modified form of the physical activity questionnaire that was developed in the Five-City Project. The subjects with clustering of metabolic abnormalities were defined as having two or more of the following five characteristics: waist circumference ${\geq}90\;%$, systolic or diastolic blood pressure ${\geq}90\;%$, fasting glucose ${\geq}110\;mg/dl$, triglycerides ${\geq}110\;mg/dl$ and HDL cholesterol ${\geq}40\;mg/dl$. We calculated the odds ratios to assess the effect of substituting moderate to vigorous physical activity for time spent in inactivity. Results: The risk of clustered metabolic abnormalities was inversely correlated with the increased time spent on moderate to vigorous physical activity, but the correlation was not significant. The odds ratio for clustering of metabolic abnormalities that represented the effect of substituting moderate to vigorous physical activity for 30minutes of sedentary activity was 0.87(95% Cl=0.76-1.01). Conclusions: These findings suggest that substituting moderate to vigorous physical activity for sedentary activity could decrease the risk of clustered metabolic abnormalities.

• Journal of Sasang Constitution and Immune Medicine
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• v.34 no.4
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• pp.27-37
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• 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.

• Korean Journal of Clinical Laboratory Science
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• v.48 no.4
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• pp.304-311
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• 2016

The study was performed to examine the metabolic syndrome risk factors in accordance with the obesity types based on body mass index (BMI) and waist circumference cutoffs. The diagnosis of metabolic syndrome closely adhered to the NCEP-ATP III criteria, and obesity was defined using the WHO Asian-Pacific criteria. We used the data from 591 elderly women, all aged over 65 years. They were divided into four groups: The normal group (n=272), the obesity group (n=124), abdominal obesity group (n=19), and obesity-abdominal obesity group (n=176). The obesity-abdominal obesity group was the most prevalent group of low HDL-cholesterol (p=0.009), hypertriglyceridemia (p=0.025), abdominal obesity (p<0.001), and metabolic syndrome (p<0.001). Logistic regression analysis demonstrated that the obesity-abdominal obesity group had the highest odds ratio in predicting metabolic syndrome (OR: 10.638, 95% CI: 6.053~18.697). Therefore, the obesity-abdominal obesity group was the strongest predictive factor of metabolic syndrome risk in Korean elderly women.

• Korean Journal of Community Nutrition
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• v.21 no.4
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• pp.366-377
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• 2016

Objectives: The purpose of the study was to compare intake of energy nutrients, physical characteristics, and the prevalence of metabolic syndrome according to protein intake group. Methods: Subjects were 827 men aged 40-65 years. The results presented were based on data from the 2012-2013 National Health and Nutrition Examination Survey and analyzed using SPSS. The odds ratio (OR) of metabolic syndrome was assessed according to the protein intake group and intake pattern of protein-rich foods. Results: The mean of protein intake was $73.96{\pm}0.71g$. According to level of protein intake, four groups (deficient, normal, excess 1, excess 2) were created and their percentages were 8.3%, 39.6%, 37.1%, and 15.0% respectively. The mean of daily energy intake was $2,312.33{\pm}24.08kcal$. It was higher in excess group 2 than in the deficiency group (p < 0.001). Moreover, the intake of all energy nutrients increased significantly with protein intake group (p < 0.001). The main contribution to daily protein included mixed grains ($10.96{\pm}0.32g$), milled rice ($7.14{\pm}0.30g$), chicken ($3.50{\pm}0.21g$), and grilled pork belly ($3.04{\pm}0.16g$). With regard to physical characteristics, and blood pressure and blood test results, only body mass index increased significantly according to protein intake groups (p < 0.05). The prevalence of metabolic syndrome in subjects was 38.5%, and there was no significant correlation with protein intake group. The OR of metabolic syndrome increased with protein intake, and was higher 4.452 times in excess group 2 than in the normal group (p < 0.05). Conversely, the OR of metabolic syndrome according to the frequency of protein-rich food intake did not show a significant correlation. Conclusions: The results of this study can be used as significant supporting data to establish guidelines for protein intake in middle-aged men.