Abstract

Background

To prospectively examine the associations of baseline serum uric acid (SUA) and SUA changes with incident metabolic syndrome (MetS) and update the evidence through a meta-analysis.

Methods

Our analyses were based on the China Health and Retirement Longitudinal Study from 2011–2012 to 2015–2016. The exposures were baseline SUA and SUA changes, and the outcome was incident MetS assessed in 2015–2016. Logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs). A meta-analysis was conducted to synthesize evidence from all cohort studies on the same topic.

Results

Of 3779 participants (47.2% men; mean age: 59.5 years) without MetS, 452 participants developed MetS after a follow-up of 4 years. Compared to the lowest quartiles, the adjusted ORs (95% CIs) for MetS were 1.08 (0.77–1.50), 1.32 (0.95–1.82), and 1.55 (1.12–2.16) for three higher quartiles of baseline SUA, and 1.23 (0.89–1.71), 1.39 (1.00–1.93), and 1.89 (1.38–2.58) for three higher quartiles of SUA changes. Each increment of 1 mg/dL of baseline SUA level was associated with 19% higher odds of MetS (adjusted OR 1.19; 95% CI 1.07–1.33). In the meta-analysis of 24 cohort studies among 140,913 participants, the pooled relative risk (95% CI) was 1.32 (1.25–1.40) for the highest versus lowest SUA category, and 1.15 (1.09–1.21) for each 1 mg/dL increase in the SUA level.

Conclusions

Both baseline SUA and longitudinal SUA changes were positively associated with risk of MetS among middle-aged and elderly Chinese, which was supported by findings from a comprehensive meta-analysis across multiple populations. SUA levels might need to be monitored closely for subsequent risk of MetS in clinical practice.

Details

Title
Association between baseline and changes in serum uric acid and incident metabolic syndrome: a nation-wide cohort study and updated meta-analysis
Author
Chen, Sen; Wu, Nianwei; Yu, Chuan; Xu, Ying; Xu, Chengfu; Huang, Yuli; Zhao, Jian; Li, Ningxiu; Xiong-Fei Pan
Pages
1-11
Section
Research
Publication year
2021
Publication date
2021
Publisher
BioMed Central
e-ISSN
1743-7075
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2543533217
Copyright
© 2021. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.