4.1 Article

Association of Serum Uric Acid with Metabolic Syndrome and Its Components: A Cross-Sectional Study in Chinese Coastal Population

期刊

METABOLIC SYNDROME AND RELATED DISORDERS
卷 18, 期 2, 页码 103-109

出版社

MARY ANN LIEBERT, INC
DOI: 10.1089/met.2019.0043

关键词

metabolic syndrome; serum uric acid; cross-sectional study

资金

  1. Science and Technology Planning Project of Shenzhen City, Guangdong Province, China [SZGW2018002]
  2. Sanming Project of Medicine in Shenzhen [SZSM201811093]

向作者/读者索取更多资源

Objective: Few studies reported the association between serum uric acid and the prevalence of metabolic syndrome in China's coastal residents. We aimed to examine the association between serum uric acid and the prevalence of metabolic syndrome as well as its components in adults and elderly from Shenzhen (a China's coastal city). Methods: We conducted a survey in a community-based household population in Shenzhen, collecting data about 4049 participants aged 20-69 years. Based on the data, we determined the prevalence of metabolic syndrome in adults and elderly with different serum uric acid concentrations. Results: According to the revised National Cholesterol Education Program Adult Treatment Panel III, the prevalence of the metabolic syndrome in the surveyed participants was 24.69% [95% confidence interval (CI): 23.4%-26.0%]. The prevalence of metabolic syndrome in participants with serum uric acid levels <4, 4-4.9, 5-5.9, 6-6.9, 7-7.9, and >= 8 mg/dL is 10.12% (95% CI: 8.2%-12.0%), 17.92% (95% CI: 15.8%-20.1%), 31.05% (95% CI: 28.1%-34.0%), 39.47% (95% CI: 35.4%-43.8%), 49.39% (95% CI: 43.1%-55.7%), and 52.57% (95% CI: 42.5%-62.5%), respectively. Multivariable logistic regression analysis showed that participants with higher serum uric acid levels were at a higher risk of high triglycerides, low high-density lipoprotein, central obesity, high blood pressure, or high fasting glucose (P < 0.001). Conclusions: Serum uric acid levels were closely associated with metabolic syndrome and its components in Chinese coastal population.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.1
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据