PURPOSE: The objective of this study was to determine whether the progressive increase of metabolic syndrome (MetS) score, the number of components of MetS, is correlated significantly with increasing pulse pressure (PP). MATERIALS AND METHODS: 4,034 subjects were enrolled from the Cardiovascular Genome Center of Yonsei University (M:F=2344:1690, 55.2 +/- 10.5). Most of the study population were recruited from hypertension clinics, controlled with medications according to JNC7 guidelines. The Asian modified criteria of MetS were applied and MetS score was estimated. The HOMA index for insulin resistance, cholesterol profiles, and anthropometric measurements were assessed. RESULTS: Among 4034 participants, 1690 (41.9%) were classified as MetS. Progressive increase in PP was demonstrated for increasing components of the MetS score. Multiple linear regression analysis with PP as the dependent variable showed that age (beta=0.311, p < 0.001), MetS score (beta=0.226, p < 0.001), male gender (beta=-0.093, p < 0.001) and HOMA index IR (beta=0.033, p=0.03) are significantly associated with PP (R(2)=0.207, p < 0.001). CONCLUSION: The present results from this study demonstrate that increasing MetS score is an independent determinant of increasing PP. The results also demonstrate the independent role of MetS in increasing arterial stiffness and PP.
Adult ; Age Distribution ; Aged ; Blood Pressure ; Female ; Humans ; Male ; Metabolic Syndrome X/*epidemiology/physiopathology ; Middle Aged

BACKGROUND: Pulse wave velocity (PWV) reflects arterial stiffness and may provide an integrated index of vascular status and cardiovascular disease (CVD) risk. Although the individual components of the metabolic syndrome (MS) are well established cardiovascular risk factors, the impact of the MS and its components on PWV has not been well defined. METHODS: Using an automatic wave form analyzer, heart-femoral (hf) and brachial-ankle (ba) PWVs were measured simultaneously in 364 subjects (age, 44.8+/-9.3 years). None of the subjects had clinical atherosclerotic CVD, diabetes, or systemic disease. The association between PWVs and the features of the MS, individual and clustered, were analyzed. RESULTS: By univariate analysis, the individual components of the MS, except for a low HDL-cholesterol level, were associated with increased hfPWV and baPWV. Hypercholesterolemia was also associated with increase in both PWVs. A low HDL-cholesterol level was associated with an increased baPWV. However, by multivariate analysis, none of the components of the MS, except for an elevated blood pressure (BP), was an independent factor affecting hfPWV and baPWV. After controlling for age and gender, hfPWV and baPWV were increased according to the number of MS components present (p<0.001 for both). After controlling for age, gender and BP, the MS was associated with an increased baPWV (p<0.05). CONCLUSIONS: The clustering of MS components may interact to synergistically affect arterial stiffness, even though the individual MS components, except for an elevated BP, do not affect arterial stiffness independently.
Pulsatile Flow/*physiology ; Middle Aged ; Metabolic Syndrome X/*physiopathology ; Male ; Humans ; Female ; Blood Pressure ; Blood Flow Velocity ; Arteries/*physiopathology ; Aged ; Age Factors ; Adult

Elevated blood pressure (BP) is the most common cause of cardiovascular disease. Salt intake has a strong influence on BP, and plasma sodium (pNa) is increased with progressive increases in salt intake. However, the associations with pNa and BP had been reported inconsistently. We evaluated the association between pNa and BP, and estimated the risks of all-cause-mortality according to pNa levels. On the basis of data collected from health checkups during 1995-2009, 97,009 adult subjects were included. Positive correlations between pNa and systolic BP, diastolic BP, and pulse pressure (PP) were noted in participants with pNa > or =138 mM/L (P<0.001). In participants aged > or =50 yr, SBP, DBP, and PP were positively associated with pNa. In participants with metabolic syndrome components, the differences in SBP and DBP according to pNa were greater (P<0.001). A cumulative incidence of mortality was increased with increasing pNa in women aged > or =50 yr during the median 4.2-yr-follow-up (P<0.001). In women, unadjusted risks for mortality were increased according to sodium levels. After adjustment, pNa > or =145 mM/L was related to mortality. The positive correlation between pNa and BP is stronger in older subjects, women, and subjects with metabolic syndrome components. The incidence and adjusted risks of mortality increase with increasing pNa in women aged > or =50 yr.
Adult ; Blood Pressure/*physiology ; Cardiovascular Diseases/blood/*mortality ; Female ; Humans ; Hypertension/*physiopathology ; Incidence ; Male ; Metabolic Syndrome X/blood ; Middle Aged ; Risk ; Risk Factors ; Sex Factors ; Sodium/*blood

Visceral fat has been reported to be associated with nonalcoholic fatty liver disease (NAFLD) and the metabolic syndrome (MetS). We assessed the prevalence of both NAFLD and the MetS, measured visceral fat thickness VFT), and estimated the physical activity indexes of 224 relatively healthy hospital workers. We also investigated the associations between both VFT and physical activity index and each of NAFLD and the MetS. The MetS was diagnosed according to the guidelines outlined by the Adult Treatment Panel III, and NAFLD was diagnosed by ultrasonography. Subjects with hepatitis B and C infections and those reporting moderate alcohol consumption were excluded from the study. The prevalence of the MetS was 11.6% and that of NAFLD was 41.5%. Many subjects with the MetS had NAFLD (73.1%), and some subjects with NAFLD (20.4%) also had several components of the MetS (p=0.001). VFT was significantly increased by both the addition of components of the MetS and the severity of NAFLD (p<0.001). In addition, VFT was independently associated with NAFLD (odds ratio [OR], 1.10; 95% confidence interval [CI], 1.02-1.19) in subjects with more than 2 components of the MetS. In contrast, habitual physical activity was reversely associated with NAFLD (OR, 0.29; 95% CI, 0.10-0.87). In conclusion, an increased visceral fat content and reduced physical activity could be not only biological markers but also therapeutic targets in the treatment of NAFLD and the MetS.
Adult ; Alcohol Drinking ; Blood Pressure ; Comorbidity ; Fatty Liver/*physiopathology ; Female ; Humans ; Hyperinsulinism/complications ; *Intra-Abdominal Fat ; Male ; Metabolic Syndrome X/*physiopathology ; Middle Aged ; Multivariate Analysis ; Odds Ratio

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+/-0.18. The low-frequency and high-frequency values of heart rate variability indices were significantly higher in hospitalized patients with schizophrenia (3.89+/-1.36; 3.80+/-1.20) than those in the healthy participants (2.20+/-0.46; 2.10+/-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.
Adult ; Autonomic Nervous System/physiopathology ; Blood Glucose/analysis ; Blood Pressure ; Cardiovascular Diseases/complications/diagnosis/mortality ; Cholesterol, HDL/blood ; Female ; *Heart Rate ; Hospitalization ; Humans ; Male ; Metabolic Syndrome X/*complications/*physiopathology ; Middle Aged ; Obesity/etiology ; Schizophrenia/*complications/mortality/*physiopathology ; Triglycerides/blood

PURPOSE: Purpose was to explore associations between sleep duration and metabolic syndrome (MS) risks, and to determine factors associated with self-rated health (SRH) of adults with MS compared to other adults. METHODS: This is a secondary data analysis based on the Fifth Korea National Health and Nutrition Examination Survey KNHANES V (N=12662). Study instruments included sleep duration, MS risk factors, SRH and health-related quality of life (HRQoL). RESULTS: Mean age of participants was 43.68+/-12.26 years. Fifty-eight percent were women, and 18.3% were identified as having MS. Systolic blood pressure (SBP), diastolic blood pressure (DBP), and SRH were significantly different according to sleep duration (p<.05) among all participants. In the non MS group, male gender, younger age (19~30 and 41~50 age brackets) upper income level, sufficient sleep duration, and high density lipoprotein (HDL) were positively associated with SRH, whereas, lower education levels (< or = middle school), glucose level, and waist circumference were negatively associated with SRH (p<.05). In the MS group, lower income, lower education levels (< or = middle school), glucose level, and waist circumference were negatively associated with SRH, whereas, having an occupation was positively associated with SRH (p<.05). CONCLUSION: Results suggest that tailored approaches are required for prevention and control of MS and sleep duration of each individual should be considered rather than applying standardized guidelines. However, as sleep quality was not included in the analysis, further investigations regarding influence of sleep quality on MS and SRH and controlling for other lifestyle and health behavior factors are required.
Adult ; Blood Glucose/analysis ; Blood Pressure/physiology ; Cholesterol, HDL/blood ; Female ; *Health Status ; Humans ; Male ; Metabolic Syndrome X/*physiopathology ; Middle Aged ; Odds Ratio ; Quality of Life ; Risk Factors ; Self Report ; *Sleep ; Young Adult

OBJECTIVES: The current study was performed to assess the distribution of intraocular pressure (IOP) and its association with metabolic syndrome (MS) in a community. METHODS: We measured IOP and MS components from 446 adults, age 20 or more years old, who reside in a community in Kyunggi Province, South Korea. We compared the level of IOP according to the number of metabolic abnormalities and between normal and abnormal metabolic components. Linear regression analyses were used to determine the relationship between IOP and metabolic components. RESULTS: No significant difference in IOP (mean +/- SE) was found between men (12.24 +/- 2.42) and women (12.55 +/- 2.41 mmHg, p > 0.1), while IOP of men tended to decrease as age increased (p for trend < 0.01). After adjusting for age, IOP of subjects with abdominal obesity in men and high blood pressure in women were significantly higher than those without abdominal obesity or high blood pressure (p < 0.05). Female subjects with MS showed significantly higher IOP than those without MS. Participants with more metabolic disturbances tended to have a greater IOP elevation with a linear trend after adjusting for age and sex. In the univariate regression analysis, age and waist circumference were significantly associated with IOP in men, but systolic and diastolic blood pressure were associated with IOP in women. In final multiple regression model, age, systolic blood pressure, and triglyceride were associated with IOP in women, and age in men. CONCLUSIONS: These findings suggest that MS and its components may be important determinants of elevated IOP.
Adult ; Age Factors ; Body Mass Index ; Female ; Health Behavior ; Humans ; Hypertension/physiopathology ; Insulin Resistance/physiology ; *Intraocular Pressure ; Linear Models ; Lipids/blood ; Male ; Metabolic Syndrome X/*complications/epidemiology/physiopathology ; Middle Aged ; Republic of Korea/epidemiology ; Sex Factors

We investigated the cutoff values of surrogate of insulin resistance for diagnosing metabolic syndrome in Korean adults. The data from 976 non-diabetic individuals (484 men and 492 women) aged 30-79 yr were analyzed. We determined the odds ratios for the prevalence of metabolic syndrome according to the quartiles of fasting insulin, homeostasis model for insulin resistance (HOMA-IR), and quantitative insulin sensitivity check index (QUICKI) as independent variables, while adjusting for age, sex, and body mass index. The cutoff values of fasting insulin, HOMA-IR, and QUICKI were estimated by the areas under the receiver-operating characteristic (ROC) curves. The cutoff points for defining insulin resistance are a fasting insulin level of 12.94 micro U/mL, HOMA-IR=3.04 as the 75th percentile value, and QUICKI=0.32 as the 25th percentile value. Compared with the lowest quartile, the adjusted odds ratios for the prevalence of metabolic syndrome in the highest quartiles of fasting insulin, HOMA-IR, and QUICKI were 1.95 (1.26-3.01), 2.27 (1.45-3.56), and 2.27 (1.45-3.56), respectively. The respective cutoff values for fasting serum insulin, HOMA-IR, and QUIC-KI by ROC analysis were 10.57 micro U/mL (sensitivity 58.5%, specificity 66.8%), 2.34 (sensitivity 62.8%, specificity 65.7%), and 0.33 (sensitivity 61.2%, specificity 66.8%). Fasting insulin, HOMA-IR, and QUICKI can be used as surrogate measures of insulin resistance in Korean non-diabetic adults.
Triglycerides/blood ; Predictive Value of Tests ; Multivariate Analysis ; Middle Aged ; Metabolic Syndrome X/*blood/diagnosis/physiopathology ; Male ; Korea ; *Insulin Resistance ; Insulin/*blood ; Humans ; Female ; Fasting/blood ; Diabetes Mellitus/blood/physiopathology ; Cholesterol, HDL/blood ; Cholesterol/blood ; Blood Pressure/physiology ; Blood Glucose/analysis ; Aged ; Adult

Previous evidence supports the important role that oxidative stress (OxS) plays in metabolic syndrome (MetS)-related manifestations. We determined the relationship between the number of MetS components and the degree of OxS in MetS patients. In this comparative cross-sectional study from the LIPGENE cohort, a total of 91 MetS patients (43 men and 48 women; aged between 45 and 68 years) were divided into four groups based on the number of MetS components: subjects with 2, 3, 4 and 5 MetS components (n=20, 31, 28 and 12, respectively). We measured ischemic reactive hyperemia (IRH), plasma levels of soluble vascular cell adhesion molecule-1 (sVCAM-1), total nitrite, lipid peroxidation products (LPO), hydrogen peroxide (H2O2), superoxide dismutase (SOD) and glutathione peroxidase (GPx) plasma activities. sVCAM-1, H2O2 and LPO levels were lower in subjects with 2 or 3 MetS components than subjects with 4 or 5 MetS components. IRH and total nitrite levels were higher in subjects with 2 or 3 MetS components than subjects with 4 or 5 MetS components. SOD and GPx activities were lower in subjects with 2 MetS components than subjects with 4 or 5 MetS components. Waist circumference, weight, age, homeostatic model assessment-beta, triglycerides (TGs), high-density lipoprotein and sVCAM-1 levels were significantly correlated with SOD activity. MetS subjects with more MetS components may have a higher OxS level. Furthermore, association between SOD activity and MetS components may indicate that this variable could be the most relevant OxS biomarker in patients suffering from MetS and could be used as a predictive tool to determine the degree of the underlying OxS in MetS.
Aged ; Anthropometry ; Antioxidants/metabolism ; Biological Markers/metabolism ; Blood Pressure ; Endothelium, Vascular/pathology/physiopathology ; Female ; Glutathione Peroxidase/blood ; Humans ; Hydrogen Peroxide/metabolism ; Hyperemia/blood/physiopathology ; Male ; Metabolic Syndrome X/blood/enzymology/*pathology/physiopathology ; Middle Aged ; Nitrites/blood ; *Oxidative Stress ; Regression Analysis ; Superoxide Dismutase/blood ; Vascular Cell Adhesion Molecule-1/metabolism

PURPOSE: The purpose of this study was to compare metabolic syndrome (MS) risk factor prevalence by obesity and age in middle-aged women. METHOD: Two hundred and fifty-one subjects were recruited from the health promotion center of a tertiary care hospital in an urban city. MS was defined by the third report of the national cholesterol education program (NCEP) expert panel on detection, evaluation, and treatment of high blood cholesterol in adults(Adult Treatment Panel III)(ATPIII), and obesity was determined by body mass index(BMI)> or = 25kg/m2. RESULTS: The mean blood pressure, fasting glucose, total cholesterol, and triglyceride were significantly higher in the obese group than in the non-obese group. The prevalence of MS, hypertension, and impaired fasting glucose were significantly higher in the obese group than in the non-obese group. In the forties, blood pressure was significantly higher in the obese group than in the non-obese group. In the fifties, body fat, systolic blood pressure, fasting glucose, total cholesterol, and triglyceride were significantly higher in the obese group than in the non-obese group. CONCLUSIONS: These results show that the nurse should focus on the obese fifty year old female patients for improvement of the MS risk factors.
Women's Health ; Adult ; Blood Pressure ; Body Fat Distribution ; Body Mass Index ; Cholesterol/blood ; Female ; Health Surveys ; Humans ; Metabolic Syndrome X/*epidemiology/etiology ; Middle Aged ; Models, Nursing ; Obesity/*complications/epidemiology/physiopathology ; Prevalence ; Risk Factors