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

Author

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  • Jia Liu

    (School of Public Health, Capital Medical University, Beijing 100069, China
    Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing 100069, China)

  • Zhan Zhao

    (State Key Lab of Transducer Technology, Institute of Electronics, Chinese Academy of Sciences, Beijing 100049, China
    Institute of Electronics, University of Chinese Academy of Sciences, Beijing 101408, 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
    Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing 100069, China)

  • Xiuhua Guo

    (School of Public Health, Capital Medical University, Beijing 100069, China
    Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing 100069, China)

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.

Suggested Citation

  • Jia Liu & Zhan Zhao & Yongmin Mu & Xiaoping Zou & Dechun Zou & Jingbo Zhang & Shuo Chen & Lixin Tao & Xiuhua Guo, 2018. "Gender Differences in the Association between Serum Uric Acid and Prediabetes: A Six-Year Longitudinal Cohort Study," IJERPH, MDPI, vol. 15(7), pages 1-10, July.
    • Handle: RePEc:gam:jijerp:v:15:y:2018:i:7:p:1560-:d:159538
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    References listed on IDEAS

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    1. Qin Lv & Xian-Fang Meng & Fang-Fang He & Shan Chen & Hua Su & Jing Xiong & Pan Gao & Xiu-Juan Tian & Jian-She Liu & Zhong-Hua Zhu & Kai Huang & Chun Zhang, 2013. "High Serum Uric Acid and Increased Risk of Type 2 Diabetes: A Systemic Review and Meta-Analysis of Prospective Cohort Studies," PLOS ONE, Public Library of Science, vol. 8(2), pages 1-7, February.
    2. Steven Teerenstra & Bing Lu & John S. Preisser & Theo van Achterberg & George F. Borm, 2010. "Sample Size Considerations for GEE Analyses of Three-Level Cluster Randomized Trials," Biometrics, The International Biometric Society, vol. 66(4), pages 1230-1237, December.
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    Cited by:

    1. Qian Wu & Ying Guan & Chunze Xu & Na Wang & Xing Liu & Feng Jiang & Qi Zhao & Zhongxing Sun & Genming Zhao & Yonggen Jiang, 2022. "Association of Serum Uric Acid with Diabetes in Premenopausal and Postmenopausal Women—A Prospective Cohort Study in Shanghai, China," IJERPH, MDPI, vol. 19(23), pages 1-12, December.
    2. Seung Yun Lee & Won Park & Young Ju Suh & Mie Jin Lim & Seong-Ryul Kwon & Joo-Hyun Lee & Young Bin Joo & Youn-Kyung Oh & Kyong-Hee Jung, 2019. "Association of Serum Uric Acid with Cardiovascular Disease Risk Scores in Koreans," IJERPH, MDPI, vol. 16(23), pages 1-10, November.
    3. Yuting Yu & Jing Li & Yonggen Jiang & Maryam Zaid & Qi Zhao & Na Wang & Xing Liu & Yun Qiu & Junjie Zhu & Xin Tong & Shuheng Cui & Yiling Wu & Jianguo Yu & Genming Zhao, 2022. "Association between Reproductive Factors and Type 2 Diabetes: A Cross-Sectional Study," IJERPH, MDPI, vol. 19(2), pages 1-12, January.

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