Cross-sectional and longitudinal associations between serum uric acid and metabolic syndrome: Results from Fangchenggang Area Male Health and Examination Survey in China.
BACKGROUND
It is controversial whether serum uric acid (SUA) is a risk factor for the prevalence of metabolic syndrome (MetS). The current study was designed to highlight the association of SUA and MetS and its components.


METHODS
Data on 3675 healthy male subjects, aged 17-88 years, were collected for the cross-sectional study. A representative sample of 2575 individuals who did not suffer from MetS at baseline was involved in the cohort study. A cox regression model was applied to evaluate causality for the 2- and 4-year large scale longitudinal study.


RESULTS
In the cross-sectional analysis, SUA showed a statistically significant negative correlation with high-density lipoprotein cholesterol (HDL-c) and a positive correlation with blood pressure (BP), triglycerides (TG), waist circumference (WC), and body mass index (BMI) (all P<0.001). In longitudinal analysis, examining the risk of developing MetS, SUA concentrations (hazard ratios comparing fourth quartile to the first quartile of 1.75; 95% CI, 1.26-2.41) were positively associated with incident MetS after adjusted for age, blood pressure, glucose, TG, HDL-c, smoking, alcohol drinking and education.


CONCLUSIONS
SUA is positively correlated with the prevalence of MetS. Increased SUA concentration may be an independent risk factor for MetS.
Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi 530021, China; Guangxi Key Laboratory of Genomic and Personalized Medicine, Nanning, Guangxi 530021, China; Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning, Guangxi 530021, China.
Dongni
D
Chen
Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi 530021, China; Guangxi Key Laboratory of Genomic and Personalized Medicine, Nanning, Guangxi 530021, China; Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning, Guangxi 530021, China; Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi 530021, China.
Haiying
H
Zhang
Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi 530021, China.
Yong
Y
Gao
Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi 530021, China; Institute of Urology and Nephrology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi 530021, China.
Zheng
Z
Lu
Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi 530021, China; Guangxi Key Laboratory of Genomic and Personalized Medicine, Nanning, Guangxi 530021, China; Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning, Guangxi 530021, China.
Ziting
Z
Yao
Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi 530021, China; Guangxi Key Laboratory of Genomic and Personalized Medicine, Nanning, Guangxi 530021, China; Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning, Guangxi 530021, China.
Yonghua
Y
Jiang
Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi 530021, China; Guangxi Key Laboratory of Genomic and Personalized Medicine, Nanning, Guangxi 530021, China; Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning, Guangxi 530021, China.
Xinggu
X
Lin
Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi 530021, China; Deprtment of Urology, First Affiliated Hospital of Xinxiang Medical College, Xinxiang, Henan Province, China.
Chunlei
C
Wu
Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi 530021, China; Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi 530021, China.
Xiaobo
X
Yang
Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi 530021, China; Department of Chemotherapy, The Affiliated Tumor Hospital of Guangxi Medical University, Nanning, Guangxi 530021, China. Electronic address: tanaihua2010@gmail.com.
Aihua
A
Tan
Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi 530021, China; Guangxi Key Laboratory of Genomic and Personalized Medicine, Nanning, Guangxi 530021, China; Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning, Guangxi 530021, China; Institute of Urology and Nephrology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi 530021, China.
Zengnan
Z
Mo
D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000428:Alcohol Drinking / Q000453:epidemiology; D001794:Blood Pressure; D015992:Body Mass Index; D002681:China / Q000453:epidemiology; D008076:Cholesterol, HDL / Q000097:blood; D003430:Cross-Sectional Studies; D004522:Educational Status; D006306:Health Surveys; D006801:Humans; D033461:Hyperuricemia / Q000097:blood* / Q000150:complications / Q000175:diagnosis / Q000453:epidemiology; D008137:Longitudinal Studies; D008297:Male; D024821:Metabolic Syndrome / Q000097:blood* / Q000150:complications / Q000175:diagnosis / Q000453:epidemiology; D008875:Middle Aged; D015995:Prevalence; D016016:Proportional Hazards Models; D012307:Risk Factors; D012907:Smoking / Q000453:epidemiology; D014280:Triglycerides / Q000097:blood; D014527:Uric Acid / Q000097:blood*
D008076:Cholesterol, HDL; D014280:Triglycerides; D014527:Uric Acid
Longitudinal study; Metabolic syndrome; Risk factor; Serum uric acid