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      Distinct hyperuricemia trajectories are associated with different risks of incident diabetes: A prospective cohort study.

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          Abstract

          Conflicting results suggest a link between serum uric acid and diabetes and previous studies ignored the effect of continuous exposure of serum uric acid on diabetes risk. This study aims to characterize hyperuricemia trajectories in middle-aged adults and to examine its potential impact on diabetes risk, considering the role of obesity, dyslipidemia, and hypertension.

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          Author and article information

          Journal
          Journal ID (iso-abbrev): Nutr Metab Cardiovasc Dis
          Title: Nutrition, metabolism, and cardiovascular diseases : NMCD
          Publisher: Elsevier BV
          ISSN (Electronic): 1590-3729
          ISSN (Print): 0939-4753
          Publication date (Electronic): May 2023
          Volume: 33
          Issue: 5
          Affiliations
          [1 ] Yanjing Medical College, Capital Medical University, Beijing 101300, China.
          [2 ] School of Public Health, Capital Medical University, Beijing 100069, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing 100069, China; Centre for Precision Health, Edith Cowan University, Perth, WA 6027, Australia.
          [3 ] School of Public Health, Capital Medical University, Beijing 100069, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing 100069, China.
          [4 ] Department of Mathematics and Statistics, La Trobe University, Melbourne 3086, Australia.
          [5 ] Department of Information, Beijing Physical Examination Center, Beijing 100077, China.
          [6 ] Department of Information, Beijing Physical Examination Center, Beijing 100077, China. Electronic address: zjb@bjtjzx.com.
          [7 ] School of Public Health, Capital Medical University, Beijing 100069, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing 100069, China. Electronic address: taolixin@ccmu.edu.cn.
          Article
          Publisher Item ID: S0939-4753(23)00076-5
          DOI: 10.1016/j.numecd.2023.02.018
          PubMed ID: 36958974
          SO-VID: 1f73ee07-a438-4f70-9a69-aa41ae339680
          History

          Keywords: Obesity,Trajectory,Marginal structural model,Hyperuricemia,Diabetes
          Data availability:
          Keywords: Obesity, Trajectory, Marginal structural model, Hyperuricemia, Diabetes

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