Visit-to-visit variability in triglyceride-glucose index and diabetes: A 9-year prospective study in the Kailuan Study

Xianxuan Wang, Yanjuan Chen, Zegui Huang, Zefeng Cai, Xinran Yu, Zekai Chen, Linyao Li, Guanzhi Chen, Kuangyi Wu, Huancong Zheng, Shouling Wu*, Youren Chen*

*Corresponding author for this work

    Research output: Contribution to journalArticleAcademicpeer-review

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    Instruction/Aims: It is unknown whether variability in the triglyceride-glucose index (TyG-index) is associated with the risk of diabetes. Here, we sought to characterize the relationship between TyG-index variability and incident diabetes. Methods: We performed a prospective study of 48,013 participants in the Kailuan Study who did not have diabetes. The TyG-index was calculated as ln [triglyceride (TG, mg/dL) concentration × fasting blood glucose concentration (FBG, mg/dL)/2]. The TyG-index variability was assessed using the standard deviation (SD) of three TyG-index values that were calculated during 2006/07, 2008/09, and 2010/11. We used the Cox proportional hazard models to analyze the effect of TyG-index variability on incident diabetes. Results: A total of 4,055 participants were newly diagnosed with diabetes during the study period of 8.95 years (95% confidence interval (CI) 8.48–9.29 years). After adjustment for confounding factors, participants in the highest and second-highest quartiles had significantly higher risks of new-onset diabetes versus the lowest quartile, with hazard ratios (95% CIs) of 1.18 (1.08–1.29) and 1.13 (1.03–1.24), respectively (P trend< 0.05). These higher risks remained after further adjustment for the baseline TyG-index. Conclusions: A substantial fluctuation in TyG-index is associated with a higher risk of diabetes in the Chinese population, implying that it is important to maintain a normal and consistent TyG-index.

    Original languageEnglish
    Article number1054741
    Number of pages9
    JournalFrontiers in endocrinology
    Publication statusPublished - 2-Dec-2022


    • cohort study
    • diabetes mellitus
    • insulin resistance
    • triglyceride-glucose index
    • variability

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