A longitudinal cohort based association study between uric acid level and metabolic syndrome in Chinese Han urban male population

Qian Zhang, Chengqi Zhang, Xinhong Song, Haiyan Lin, Dongzhi Zhang, Wenjia Meng, Yongyuan Zhang, Zhenxin Zhu, Fang Tang, Longjian Liu, Xiaowei Yang, Fuzhong Xue

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43 Scopus citations

Abstract

Background: It has been recently demonstrated that serum uric acid (UA) is associated with metabolic syndrome (MetS) or its related clinical indications based on cross-sectional or prospective cohort studies. Nonetheless, due to the fact that UA level constantly fluctuates from time to time even for the person, using a single measure of UA level at baseline of those studies may not be sufficient for estimating the UA-Mets association. Methods: To further estimate this time-dependent association, we fitted a generalized estimating equation (GEE) regression model with data from a large-scale 6-year longitudinal study, which included 2222 participants aged>=25 years with an average of 3.5 repeated measures of UA per person in the Health Management Center of Shandong Provincial Hospital, Shandong, China. Results: After adjusting for other potential confounding factors (i.e., total cholesterol, low-density lipoprotein), it was verified that time-dependent UA level was an independent risk factor for MetS (OR = 1.6920, p<0.0001). It was found that UA level was positively associated with obesity, hypertension, and dyslipidemia, but was inversely associated with hyperglycemia. Conclusions: Serum UA level may serve as an important risk factor of MetS. Additionally, our study suggested that UA level be an independent risk factor to obesity, hypertension and dyslipidemia, but a protective factor to hyperglycemia. These findings are concordant with results from other studies on Asian populations, and jointly provide a basis to further develop a risk assessment model for predicting MetS using UA levels and other factors in China.

Original languageEnglish (US)
Article number419
JournalBMC Public Health
Volume12
Issue number1
DOIs
StatePublished - 2012

ASJC Scopus subject areas

  • Public Health, Environmental and Occupational Health

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    Zhang, Q., Zhang, C., Song, X., Lin, H., Zhang, D., Meng, W., Zhang, Y., Zhu, Z., Tang, F., Liu, L., Yang, X., & Xue, F. (2012). A longitudinal cohort based association study between uric acid level and metabolic syndrome in Chinese Han urban male population. BMC Public Health, 12(1), [419]. https://doi.org/10.1186/1471-2458-12-419