4.5 Article

Uric acid and diabetes risk among Chinese women with a history of gestational diabetes mellitus

期刊

DIABETES RESEARCH AND CLINICAL PRACTICE
卷 134, 期 -, 页码 72-79

出版社

ELSEVIER IRELAND LTD
DOI: 10.1016/j.diabres.2017.09.015

关键词

Uric acid; Type 2 diabetes; Prediabetes; Gestational diabetes mellitus; Postpartum

资金

  1. Tianjin Women's and Children's Health Center
  2. Tianjin Public Health Bureau
  3. European Foundation for the Study of Diabetes (EFSD)/Chinese Diabetes Society (CDS)/Lilly programme for Collaborative Research between China and Europe
  4. National Institute of Diabetes and Digestive and Kidney Diseases [R01DK100790]
  5. National Institute of General Medical Sciences of the National Institutes of Health [U54GM104940]

向作者/读者索取更多资源

Aims: To assess the association of uric acid (UA) with the risks of postpartum type 2 diabetes and prediabetes among women with prior gestational diabetes mellitus (GDM). Methods: We performed a cross-sectional study of 1262 GDM women at 1-5 years after delivery using the baseline data from the Tianjin Gestational Diabetes Mellitus Prevention Program. Logistic regression models were used to estimate the association of different levels of serum UA with the risks of type 2 diabetes and prediabetes. Results: The multivariable-adjusted odds ratios (ORs) across quartiles of serum UA were 1.00, 1.23 (95% confidence interval [CI] 0.55-2.78), 2.05 (95% CI 0.96-4.39), and 3.17 (95% CI 1.54-6.55) (P-trend < 0.001) for type 2 diabetes, and 1.00, 1.50 (95% CI 1.03-2.19), 2.28 (95% CI 1.58-3.30), and 2.88 (95% CI 1.99-4.17) (P-trend < 0.001) for prediabetes, respectively. Restricted cubic splines models showed positive linear associations of serum UA as a continuous variable with the risks of type 2 diabetes and prediabetes. This positive association was significant when stratified by healthy weight and overweight participants. Conclusions: Serum UA levels have a graded positive association with the risks of type 2 diabetes and prediabetes among Chinese with a history of GDM. (C) 2017 Elsevier B.V. All rights reserved.

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