The increasing prevalence of metabolic syndrome (MetS) has become an important issue worldwide. Metabolic comorbidities of hypertension, obesity, and hyperlipidemia are shown as important risk factors for incident gout. The purpose of this study was to investigate the relationship between hyperuricemia and MetS. This is a cross-sectional study. The effective sample included 21,544 individuals who received worker health examinations at a local teaching hospital in Changhua County from 2008~2012. We used multiple logistic regression analysis to investigate the influences of hyperuricemia on MetS. The results showed that individuals with MetS had significantly higher blood pressure, fasting plasma glucose, triglycerides, waist circumference, and high-density lipoprotein cholesterol than those without MetS(P<0.001). Multiple logistic regression analysis revealed hyperuricemia to be an important factor of MetS. The risk of developing MetS is higher with high levels of serum uric acid (SUA) and the odds ratio (OR) of having MetS is 4.98 times higher for Tertile 3 than for Tertile 1 (95% CI = 4.16–5.97) and 4 times higher for Quartile 4 than for Quartile 1 (95% CI = 3.59–4.46). In conclusion, males are more likely to develop MetS than females, and the risk of having MetS increases with age and SUA concentration.

Objectives: The purpose of this study was to evaluate the prevalence of metabolic syndrome (MetS) among hemodialysis patients and factors associated with quality of dialysis. Methods: Data were collected from 377 long-term hemodialysis patients who received hemodialysis treatment from clinics in Tainan and Kaohsiung between November 2009 and February 2010. MetS was defined using the criteria set in 2007 by the Bureau of Health Promotion, Department of Health, Taiwan. The measurement of Kt/V was used as an indicator of the quality of dialysis. A below 1.4 Kt/V was considered poor dialysis quality. Results: Results showed that the prevalence of MetS among the chronic hemodialysis patients in this sample was 63.1%. Logistic regression results identified that the quality of dialysis in females was better than that in males (odds ratio (OR)=7.98, 95% confidence interval (CI): 2.52-25.31). Better quality dialysis was associated with older age, longer treatment time, and increased blood flow rate (OR=1.49, 13.63, and 1.35, respectively). However, for every one kilogram increase in weight, the quality of dialysis decreased by 13 percents (OR=0.87, 95% CI: 0.83-0.92). Conclusions: MetS is common among hemodialysis patients. The prevalence of hypertension, hyperlipidemia, and hyperglycaemia were significantly higher among hemodialysis patients. Quality of dialysis related to gender, age, weight, and the dialysis prescription (treatment time and blood flow rate).

Objective: To explore the relationship between gender-specific of obesity indices and the 10-year risk for cardiovascular disease (CVD) among elderly population in southern Taiwan. Methods: Data were collected from Pingtung County in southern Taiwan through a health screening program, carried out from March 2007 to May 2008.The following obesity indices were included: (1) body mass index (BMI); (2) waist circumference (WC); (3) waist-to-hip ratio (WHR); (4) waist-height ratio (WHtR). The present study used the risk assessment tool of the Framingham Heart Study and adopted ≦10% as low risk, 11~20% as moderate risk, and >20% as high risk for CVD. Multiple logistic regression was used to predict the risk indices of obesity causing 10-year risk for CVD. Results: A total of 831 participants were recruited in the screen program. The prevalence of the obesity indices was as follow: BMI 21.3%; WC 14.6%; WHR 47.1%; and WHtR 65.2%. A total of 118participants were found to have 10-year CVD risk groupings>20%, a prevalence rate of 14.2%. The 10-year risk for CVD is higher in men; subjects≧65 years old in both genders have a higher prevalence of moderate and high risk for CVD. After using multiple logistic regression, the results showed that men who are abnormal in WHR, WHtR, have higher moderate and high 10-year risk for CVD; In this study, men didn't find this risk in BMI and WC. Women on all four obesity indices are not the predictive factors of 10-year risk for CVD. Conclusions: The predictive factors of 10-year risk for CVD were found in WHR and WHtR of men.