ArticleBMC endocrine disorders2025
Triglyceride-glucose index in predicting the risk of new-onset diabetes in the general population aged 45 years and older: a national prospective cohort study.
Article in BMC endocrine disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Lipid biomarkers for the prediction of type 2 diabetes risk, an umbrella review and updated meta-analyses of prospective observational studies.Frontiers in endocrinology · 2026Pooled it
- Sleep variability and risk of type 2 diabetes mellitus: Mediating role of social participation in a national longitudinal cohort study.Medicine · 2026Article
- Nonlinear associations between the cholesterol, high-density lipoprotein, and glucose index and type 2 diabetes risk in Chinese prediabetic adults: a cohort study.Scientific reports · 2026Article
- Association Between C-Reactive Protein-Triglyceride Glucose Index and All-Cause and Cardiovascular Mortality Across Cardiovascular-Kidney-Metabolic Syndrome Stages 0-4.International journal of endocrinology · 2026Article
- Cumulative of c-reactive protein-triglyceride glucose index exposure and risk of diabetes in middle-aged and older Chinese adults: findings from a national longitudinal cohort.Diabetology & metabolic syndrome · 2025Article
- Relationship Between Insulin Resistance Indicators and Type 2 Diabetes Mellitus in Romania.International journal of molecular sciences · 2025Article
- Triglyceride-Glucose Index and New-Onset Type 2 Diabetes Mellitus in Middle-Aged Men.Metabolites · 2025Article
- The product of waist-to-height ratio and glycated hemoglobin, a novel predictor of diabetes in East Asian populations: insights from two large East Asian cohort studies.Diabetology & metabolic syndrome · 2025Article
- Threshold effect and age interaction of TyG index on diabetes incidence in normolipidemic population: a multicenter cohort study.Frontiers in endocrinology · 2025Article
- Sex- and Age-Specific Associations of Triglyceride-Glucose Index with Impaired Renal Function: A Cross-Sectional Study.International journal of general medicine · 2025Article
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3 authors.
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Abstract
objectiveInsulin resistance (IR) is often present in diabetes, which imposes a heavy burden on the prevention and treatment of diabetes. Triglyceride glucose index (TyG) is simple, reliable and reproducible in detecting IR, and has great advantages in predicting the risk of diabetes. The aim of this study was to analyze the potential association between TyG and the risk of diabetes in Chinese middle-aged and older adults using a prospective cohort study design.
methodsThis study used longitudinal data from five waves of the China Health and Retirement Longitudinal Study (CHARLS) conducted in 2011, 2013, 2015, 2018, and 2020, involving 5886 participants. We used Cox proportional risk regression modeling to investigate the association between TyG index and the risk of new-onset diabetes, and decision tree analysis to identify high-risk groups for diabetes. Finally, ROC curves were applied in order to construct a predictive model for diabetes.
resultsA total of 1054 (17.9%) participants developed diabetes throughout the 9-year follow-up. Our study utilized a multivariate Cox proportional risk regression model and found a significant correlation between TyG index and diabetes risk. The analysis also revealed a nonlinear relationship between TyG index and diabetes risk.Receiver Operating Characteristic(ROC) curve analysis showed that the Area under the curve(AUC) area of TyG index in predicting the risk of new-onset diabetes was 0.652 (P < 0.05).
conclusionsTyG index can be used as a risk factor for predicting new-onset diabetes in the middle-aged and elderly population in China. In addition, there was a nonlinear relationship between TyG index and diabetes. Improving insulin resistance by regulating glucose and lipid metabolism plays an important role in the primary prevention of diabetes.
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