Background: We explored the association between serum uric acid (SUA) and metabolic syndrome (MetS) in Chinese rural adults.

Methods: A total of 16,577 subjects (6354 men and 10,223 women) were from the RuralDiab study. SUA concentration was measured by the enzymatic colorimetric method. A meta-analysis including 12 eligible studies focused on SUA and MetS was preformed to confirm the findings of the cross-sectional study.

Results: After adjustment for age, educational level, and other covariates, the odds ratio (ORs) for MetS increased smoothly with the increasing SUA concentration in both sexes (P for no-linear trend > 0.05). The adjusted ORs of MetS comparing the fourth and firstly quartiles were 3.11 [95% CI: 2.58-3.74] in men and 3.64 [95% CI: 3.22-4.11] in women (P < 0.001). In continuous analysis, each 1 mg/dl increment in SUA concentration was significantly associated with a 41% increased risk of MetS in men and 62% in women. The meta-analysis validated the positive association between SUA and MetS (pooled OR: Men, 1.80 [95% CI: 1.57-2.07]; Women, 2.46 [95% CI: 1.95-3.12]).

Conclusion: SUA concentration was positively with the prevalence of MetS in Chinese rural population, and more studies are needed to explore the mechanisms of the relationship. WHAT IS ALREADY KNOWN ON THIS TOPIC?: Previous studies have explored the association between serum uric acid and metabolic syndrome, but evidence on the strength and consistency of the association remains uncertain and limited, especially in rural population. In addition, the epidemiological research and meta-analysis on the association have not been reported. WHAT DOES THIS STUDY ADD?: The results of this study showed that serum uric acid was significantly associated with metabolic syndrome and its components in Chinese rural population. Furthermore, the findings demonstrated that the significant associations varied across sex. In addition, the results of epidemiological research were similar with the meta-analysis, which demonstrates the credible of the results of the epidemiology research.

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http://dx.doi.org/10.1016/j.cca.2018.02.003DOI Listing

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