RESUMEN

Objective:To investigate the prevalence of metabolic syndrome(MS) among adult residents with different characteristics and the relationship between serum uric acid(SUA) level and MS using the data of Chinese Adult Chronic Diseases and Nutrition Surveillance(2018) program in Anhui.Methods:Multi-stage stratified cluster random sampling was used to select participants aged 18 and over for questionnaires, physical measurements, and laboratory tests. The complex weighted method was used to estimate the prevalence of MS among residents with different characteristics. Logistic regression model based on complex sampling data was used to analyze the relationship between SUA and MS. Receiver operating characteristic(ROC) curve was used to evaluate the reliability of SUA in diagnosing MS and determine the optimal cutoff point.Results:A total of 7 182 participants were included and the prevalence of MS among adult residents was 29.46%. The prevalence of MS was higher in females(33.76%) than that in males(25.28%), and the difference was statistically significant( P<0.05). After adjusting for other factors, for every 10 μmol/L increase in SUA, the risk of MS increased by 4% in males( OR=1.040, 95% CI 1.019-1.061) and 7% in females( OR=1.070, 95% CI 1.059-1.082). The area under the curve(AUC) for SUA in diagnosing MS was 0.816(95% CI 0.806-0.826), with a sensitivity of 0.761 and specificity of 0.727. The optimal cutoff point for SUA was 450 μmol/L. Conclusion:The prevalence of MS among adult residents in Anhui Province is 29.46%. SUA is a risk factor for MS, and increasing SUA level indicated a higher risk of MS. The optimal cutoff value of SUA may be helpful in diagnosing MS.