Publication: Bidirectional association between nonalcoholic fatty liver disease and type 2 diabetes in Chinese population: Evidence from the Dongfeng-Tongji cohort study
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Date
2017
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Public Library of Science
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Citation
Li, Y., J. Wang, Y. Tang, X. Han, B. Liu, H. Hu, X. Li, et al. 2017. “Bidirectional association between nonalcoholic fatty liver disease and type 2 diabetes in Chinese population: Evidence from the Dongfeng-Tongji cohort study.” PLoS ONE 12 (3): e0174291. doi:10.1371/journal.pone.0174291. http://dx.doi.org/10.1371/journal.pone.0174291.
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Abstract
Objectives: The aim of this study is to examine the bidirectional association between nonalcoholic fatty liver disease (NAFLD) and type 2 diabetes mellitus (T2DM). Methods: The data was derived from the Dongfeng-Tongji cohort study, which was established in 2008 and followed until October 2013. NAFLD was classified as none, mild, moderate/severe based on ultrasound examination. The analysis to examine the association between NAFLD and incident T2DM risk included 18,111 participants free of diabetes at baseline and the duration of follow-up was 4.60 ± 0.60 years. Cox proportional regression model was used to calculate the hazard ratio (HR) for the association. The analysis to investigate the association between T2DM and incident NAFLD risk included 12,435 participants free of NAFLD at baseline. Logistic regression model was used to calculate the odd ratio (OR) of NAFLD. Results: Compared with those without NAFLD, individuals with mild or moderate/severe NAFLD had a monotonic elevated risk of developing T2DM (HR: 1.88 [95% CI: 1.63–2.18] and 2.34 [1.85–2.96], respectively) after adjustment for potential confounders. In a parallel analysis, compared to participants with fasting plasma glucose < 6.1 mmol/L, the ORs of developing NAFLD in subjects with impaired fasting glucose and T2DM were 1.35 (95% CI: 1.16–1.57) and 1.40 (95% CI: 1.22–1.62), respectively. Conclusions: Our results provide compelling evidence that the NAFLD-T2DM association is bidirectional in Chinese population.
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Keywords
Medicine and Health Sciences, Endocrinology, Endocrine Disorders, Diabetes Mellitus, Type 2 Diabetes, Metabolic Disorders, Biology and Life Sciences, Physiology, Physiological Parameters, Body Weight, Obesity, Gastroenterology and Hepatology, Liver Diseases, Fatty Liver, Biochemistry, Lipids, Cholesterol, Body Mass Index, Diagnostic Medicine, Diagnostic Radiology, Ultrasound Imaging, Imaging Techniques, Radiology and Imaging, Enzymology, Enzymes, Transferases, Aminotransferases, Proteins
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