The Association between Uric Acid and Metabolic Syndrome in a Middle-Aged and Elderly Taiwanese Population: A Community-Based Cross-Sectional Study.

Background: Metabolic syndrome (MetS) is a prevalent health condition in Taiwan that places individuals at higher risk of cardiovascular disease, diabetes, and stroke. Therefore, the identification of risk factors associated with MetS is crucial. The aim of this study was to investigate the association of uric acid and MetS in a Taiwanese community with a middle-aged and elderly population.

Methods: This cross-sectional study enrolled residents aged 50-90 years living in one community. All of the subjects received a standardized personal interview, including a structured questionnaire, anthropometric measurements, and blood samples were collected for laboratory testing. MetS was defined as excess waist circumference, high blood pressure, high blood sugar, high serum triglycerides, and low serum high-density lipoprotein (HDL). Multiple logistic regression models were used to evaluate uric acid tertiles associated with MetS.

Results: A total of 400 subjects were enrolled in the analysis. The overall prevalence of MetS was 35.8%. The prevalence of MetS increased gradually with increasing serum uric acid levels ( value < 0.001). A significant association between uric acid and cardiometabolic risk factors was confirmed, with a Pearson's correlation coefficient for waist circumference of 0.30 ( < 0.001), a coefficient for systolic blood pressure of 0.13 ( = 0.01), a coefficient for triglycerides of 0.33 ( < 0.001), and a coefficient for high-density lipoprotein of -0.30 ( < 0.001). The adjusted odds ratio (OR) of the high uric acid tertile level for MetS was 2.48 (95% CI = 1.31-4.71, = 0.01). The area under the ROC curve (AUC) for uric acid in predicting MetS was 0.621 ( < 0.001).

Conclusions: The prevalence of MetS in our study population is high. High serum uric acid levels are independently associated with the presence of MetS among the middle-aged and elderly Taiwanese population.