Gender Differences in the Association between Serum Uric Acid and Prediabetes: A Six-Year Longitudinal Cohort Study

Jia Liu, Zhan Zhao, Yongmin Mu, Xiaoping Zou, Dechun Zou, Jingbo Zhang, Shuo Chen, Lixin Tao and Xiuhua Guo
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Jia Liu: School of Public Health, Capital Medical University, Beijing 100069, China
Zhan Zhao: State Key Lab of Transducer Technology, Institute of Electronics, Chinese Academy of Sciences, Beijing 100049, China
Yongmin Mu: Computer Department, Beijing Information Science and Technology University, Beijing 100101, China
Xiaoping Zou: Computer Department, Beijing Information Science and Technology University, Beijing 100101, China
Dechun Zou: Beijing National Laboratory for Molecular Sciences, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China
Jingbo Zhang: Department of Information, Beijing Physical Examination Center, Beijing 100077, China
Shuo Chen: Department of Information, Beijing Physical Examination Center, Beijing 100077, China
Lixin Tao: School of Public Health, Capital Medical University, Beijing 100069, China
Xiuhua Guo: School of Public Health, Capital Medical University, Beijing 100069, China

IJERPH, 2018, vol. 15, issue 7, 1-10

Abstract: This study aimed to examine gender differences in the association between serum uric acid (SUA) and the risk of prediabetes in a longitudinal cohort. A total of 8237 participants in the Beijing Health Management Cohort study were recruited and surveyed during 2008–2009, and followed up in 2011–2012 and 2014–2015 surveys. Generalized estimating equation (GEE) models were used to evaluate the association between SUA and prediabetes. Furthermore, subgroup analyses assessed the primary outcome according to status of abdominal obesity, age and status of hypertension. During six years of follow-up, we identified 1083 prediabetes events. The GEE analyses confirmed and clarified the association between SUA and prediabetes (RR = 1.362; 95% CI = 1.095–1.696; p = 0.006) after adjusting for other potential confounders, especially in females (RR = 2.109; 95% CI = 1.329–3.347; p = 0.002). In addition, this association was stronger in the subgroup of females aged ≥48 years old (RR = 2.384; 95% CI = 1.417–4.010; p = 0.001). The risk for prediabetes increased significantly with increasing SUA for females in the Chinese population. This association was strongly confirmed in older females aged ≥48 years old rather than in younger females, which may provide clues for pathogenic mechanisms of gender differences in the association between SUA and prediabetes.

Keywords: serum uric acid; prediabetes; generalized estimating equation; longitudinal cohort study (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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