• The Korean Journal of Food And Nutrition
• /
• v.29 no.6
• /
• pp.1030-1039
• /
• 2016

This study aimed to compare energy nutrient intake, health related factors, physical characteristics, blood biochemical indices, prevalence of metabolic syndrome and odds ratio (OR) of metabolic syndrome based on dietary fat energy ratio. Subjects were 1,205 men aged 40~64 years. The average fat intake was 52.8 g. Subjects were divided into three groups (deficient, normal, excess) based on dietary fat energy ratio. The dietary fat energy rations of the three groups were 36.9%, 42.9% and 20.2%, respectively. Energy and protein intake were increased significantly with dietary fat energy ratio (p<0.001), whereas carbohydrate intake decreased (p<0.001). In health related factors, amount of smoking alone showed increase based on dietary fat energy ratio (p<0.001). In comparing physical characteristics, blood pressure and blood biochemical indices, excepting diastolic blood pressure, increased significantly based on dietary fat energy ratio (p<0.01~p<0.001). The rate that exceeded criteria in risk factors for metabolic syndrome was higher in the serum triglyceride (41.2%) and was lower in the waist circumference (22.2%). Prevalence of metabolic syndrome was 37.9%, and showed significant correlation to dietary fat energy ratio (p<0.05). The OR of metabolic syndrome was higher in deficient and excess group than in normal group, but it had no relationship between fat energy ratio and metabolic syndrome. The results of this study provide basic data to establish fat intake guidelines for prevention of metabolic syndrome in middle-aged men.

• Korean Journal of Community Nutrition
• /
• v.29 no.3
• /
• pp.212-221
• /
• 2024

Objectives: Metabolic disease is strongly associated with future insulin resistance, and its prevalence is increasing worldwide. Thus, identifying early biomarkers of metabolic-related disease based on serum profiling is useful to control future metabolic disease. Our study aimed to assess the association of serum branched chain amino acids (BCAAs) and aromatic amino acids (AAAs) ratio and metabolic disease according to body mass index (BMI) status among Korean adults. Methods: This cross-sectional study included 78 adults aged 20-59 years in Korea. We compared serum amino acid (AA) levels between adults with normal-weight and adults with obesity and investigated biomarkers of metabolic disease. We examined serum AA levels, blood profile, and body composition. We also evaluated the association between serum AAs and metabolic-related disease. Results: The height, weight, BMI, waist circumference, hip circumference, waist-hip-ratio, body fat mass, body fat percent, skeletal muscle mass, systolic blood pressure, and diastolic blood pressure were higher in the group with obesity compared to normal weight group. The group with obesity showed significantly higher levels of BCAA, AAA, and BCAA and AAA ratio. Further, BCAA and AAA ratio were significantly positively correlated with triglyceride, body weight, and skeletal muscle mass. The evaluation of metabolic disease risks revealed an association between the ratios of BCAAs and AAAs, hypertension, and metabolic syndrome. Conclusions: Our study is showed the associations between BCAA and AAA ratio, obesity, and obesity-related diseases using various analytical approaches. The elevated BCAA and AAA ratio could be early biomarkers for predicting future metabolic diseases in Korean population.

• Korean Journal of Health Education and Promotion
• /
• v.26 no.1
• /
• pp.81-92
• /
• 2009

Objectives: This study set out to investigate the relationship among the factors of metabolic syndrome diagnosis criteria, their risk factors including general characteristics, and the distribution of the diagnosis criteria and risk among the adult residents of a rural community. Methods: Among 1,968 residents, those who had three or more of the risk factors of metabolic syndrome, which include blood pressure, blood glucose, triglyceride, abdominal obesity, and HDL-C, were categorized as the metabolic syndrome group. And their correlations were analyzed. Results: As for the risk ratio with five factors of the metabolic syndrome diagnosis criteria, it was high according to age and smoking. In addition, the results show that body fat percentage, hs-CRP, insulin, BMI, PP2, total cholesterol, and W/Ht also had much impact on increasing the risk ratio of the metabolic syndrome diagnosis criteria. It turned out that metabolic syndrome was affected by the body mass index(BMI), insulin, waist to height ratio(W/Ht), and hs-CRP. It was 2.51 times crude odds ratio that BMI over the 25kg/m2 in the ratio of the fact of metabolic syndrome and adjusted for sex odds ratio 2.50times and W/Ht was 3.31times, adjusted for sex odds ratio 3.25 times. Conclusion: BMI, W/Ht and smoking of the general characteristics seem to have close relationships with high correlations between the metabolic syndrome diagnosis criteria and the risk factors. Thus there is an urgent need to evaluate them and take interventions and monitoring measures for the clustering of risk factors.

• Journal of Nutrition and Health
• /
• v.52 no.3
• /
• pp.268-276
• /
• 2019

Purpose: Metabolic syndrome causes diabetes and increases the risk of cardiovascular disease. This study examined the correlation between metabolic syndrome, nutrition intake, and triglyceride (TG)/high-density lipoprotein (HDL) cholesterol ratio. Methods: Using the data from the $7^{th}$ KNHANES (2016), this study was conducted on healthy adults aged 19 and older. The components and existence of metabolic syndrome and nutrition intake were independent variables and the TG/HDLcholesterol ratio was a dependent variable. A complex sample logistic progress test was used with age, sex, smoking, and drinking frequency corrected. Results: The TG/HDLcholesterol ratio of people with metabolic syndrome was as high as 1.314 on average, compared to people without metabolic syndrome (p < 0.0001). Among each component of metabolic syndrome, the TG/HDL cholesterol ratio had a significant association with fasting blood glucose, TG, HDL cholesterol, and waist circumference (p < 0.05). Only energy and carbohydrate intake were significantly related to the TG/HDLcholesterol ratio (p < 0.05). Conclusion: The TG/HDLcholesterol ratio is associated with each component of metabolic syndrome, but in particular, it is positively correlated with the presence of metabolic syndrome. Lower energy intakehad a positive correlation with the TG/HDLcholesterol ratio. These results show that metabolic syndrome can be predicted using the TG/HDLcholesterol ratio, and a diet strategy through nutrition and health education is necessary to prevent metabolic syndrome.

• The Journal of Korean Society for School & Community Health Education
• /
• v.16 no.2
• /
• pp.17-31
• /
• 2015

Objectives: This study aimed to analyze the relationship between metabolic syndrome and cataract in a middle-aged men over the age of 40's by using the data from the 5th Korean National Health and Nutrition Examination Survey(2010~2012). Methods: The subjects for the analysis were comprised of 5,808 patients who were at least 40 years or more with metabolic syndrome and cataract. The comparison between the metabolic syndrome and ophthalmic diseases according to the health demographic characteristics, health behavior and health conditions was analyzed with ${\chi}^2-test$. The complex samples logistic regression analysis was used to calculate the odds ratio of cataract according to the health demographic characteristics, health behavior and health conditions and the combination of the comprising factors of the metabolic syndrome. Results: After controlling the confounding factors, the odds ratio of cataract in the metabolic syndrome group was OR 1.30, which was significantly high (p<0.01). Furthermore, the odds ratio of cataract was significantly high in the case of males, as the age increased, educational level decreased, with exercising habits of less than 3 days a week, sun exposure of at least 5 hours, with hypertension and diabetes (p<0.01). The results of analyzing the odds ratio for the occurrence of cataract with the components of metabolic syndrome were OR 1.36 (concurrent high fasting blood glucose, high triglycerides, low HDL cholesterol), OR 1.63 (concurrent high fasting blood glucose, high triglycerides, high waist circumference) and OR 1.33 (high triglycerides, low HDL cholesterol, high waist circumference), which showed significantly high odds ratio for cataract occurrence (p<0.05). Conclusions: We come to know that the relation between metabolic syndrome and components are associate with cataract. Therefore the thorough management of metabolic syndrome and components is needed to prevent cataract.

• Korean Journal of Community Nutrition
• /
• v.15 no.6
• /
• pp.796-805
• /
• 2010

This study investigated the correlations and risk distribution differences between high sensitivity C-reactive protein (hs-CRP) and the diagnosis factors of metabolic syndrome among the residents of a rural community. Two thousand adults aged from 40 to 70 were recruited and 1,968 subjects were included in the study after excluding those with infectious disease or with hs-CRP higher than 10 mg/L in blood. The subjects were then divided into three groups of hs-CRP to examine the correlations and risk ratio with the risk factors of metabolic syndrome. There was a tendency of hs-CRP increasing according to the number of risk factors of metabolic syndrome. The risk ratio with hs-CRP according to metabolic syndrome significantly increased by 2.0 and 2.2 times in the intermediate and high risk group, respectively, compared with the low risk group. The risk ratio with the risk factors of metabolic syndrome according to hs-CRP rose in abdominal obesity, triglyceride, and W/Ht in the intermediate risk group of hs-CRP. The risk ratio also surged in high pressure, W/Ht, ex-drinking (1.7 times), exsmoking (2.0 times) and current smoking (2.0 times) in the high risk group. The results indicate that hs-CRP is related to the risk factors of metabolic syndrome and that it's very important to manage obesity including abdominal obesity and W/Ht and everyday habits including drinking and smoking.

• Journal of Preventive Medicine and Public Health
• /
• v.40 no.5
• /
• pp.397-403
• /
• 2007

Objectives: The prevalence of metabolic syndrome has recently increased, Payments from the Korea Labor Welfare Corporation for compensation for mortality in workers caused by cardiovascular and cerebrovascular diseases have also increased in Korea in recent years. The association of metabolic syndrome and cardiocerebrovascular disease has been investigated by several researchers in recent studies, This study was conducted in an attempt to characterize the relationship between metabolic syndrome and Korean cardiocerebrovascular disease risk assessment, and to provide basic data to group health practices for the prevention of cardiocerebrovascular disease. Methods: Health examinations were previously conducted for 1526 male researchers at a private laboratory. The prevalence by age and the odds ratio of metabolic syndrome scores into the "cardiocerebrovascular risk group" (sum of low, intermediate, and high risk groups) of the Korean cardiocerebrovascular disease risk assessment were assessed, in an effort to elucidate the associations between metabolic syndrome and cardiocere brovascular disease risk assessment. Results: The prevalence of metabolic syndrome and inclusion in the cardiocerebrovascular risk group was 11,7% and 22.1% respectively. The severity of metabolic syndrome and cardiocerebrovascular risk assessment showed that individuals in their 40's and 50's were at higher risk than those in their 30's (p<0,001). The age-adjusted odds ratio of metabolic syndrome to cardiocere brovascular risk group inclusion was 5.6. Conclusions: An active prevention program for cardiocerebrovascular disease needs to begin in the 40's, as the prevalence of metabolic syndrome and the risk group of cardiocerebrovascular risk assessment peak in the 40's age group. The odds ratio between metabolic syndrome and the cardiocerebrovascular risk group was high, which indicates that metabolic syndrome scores should be utilized as guidelines during the consultation and behavioral modification program for the workplace prevention of cardiocerebrovascular diseases in group health practices.

• The Korean Journal of Zoology
• /
• v.31 no.2
• /
• pp.81-86
• /
• 1988

The relationship between cumulus cell expansion, cocyte maturation and metabolic cooperativitiy was investigated by using mouse and pig cocyte-cumulus complexes in vitro. Cocyte germinal vesicle breakdown (GVBD) and cumulus expansion were manipulated with hormones or reagents which increase intracellular cAMP leveL Metabolic cooperativity between oocyte and cumulus cells was assessed by determination of the fraction of radiolabelled uridine marker that was transferred from the cumulus mass to the oocyte. Uptake of uddine marker by mouse and pig cumulus mass was increased by about fourfold of basal level with the stimulation of hormones (human choriononic gonadotrophin, HCG; follicle stimulating hormone, FSH) or cyclic AMP sttmulators (3-isobutyl-1-methylxanthine, IBMX; forskolin) during culture. However, the fraction of uridine that was transferred from the cumulus mass to the cocyte (transfer ratio) was gradually decreased during culture, irrespective with the presence of hormones or stimulators. The decrease of the transfer ratio was not correlated with the state of occyte whether they have GV or not, or with the degree of cumulus expansion. In mouse complexes, HCG induced more significant reducton of transfer ratio than other treatments. These results do not support the idea that modulations of metabolic cooperativity between cumulus cells and oocytes are important for the regulation of meiotic resumption in mammals.

• Research in Community and Public Health Nursing
• /
• v.20 no.2
• /
• pp.143-151
• /
• 2009

Purpose: This study was to investigate the relations and odds ratio between hs-CRP and the risk factors of metabolic syndrome according to glucose intolerance and diabetes among the residents of a rural community. Methods: The subjects include 1,968 adults aged from 40 to 70 who were divided into four groups and a diabetes group according to glucose intolerance to compare the relations and risk ratio between hs-CRP and the risk factors of metabolic syndrome. Results: The results reveal that the greater the subjects' glucose intolerance was, the higher their hs-CRP became and the more risk factors of metabolic syndrome they had. The impaired glucose tolerance group showed 1.7 times higher blood pressure than the control group. The diabetes group showed a high odds ratio with 2.3 times higher blood pressure, 2.2 times higher abdominal obesity, and 2.4 times higherW/Ht than the control group. And the odds ratio increased significantly by 1.7 times in the hs-CRP intermediate risk group and 2.5 times in the high risk group compared with the control group. Conclusion: Considering the study results, it is very important to monitor abdominal obesity, blood pressure and the intermediate and high risk group of hs-CRP in order to reduce the contraction of cardiovascular diseases.

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