ArticleJournal of multidisciplinary healthcare2025
Association of the Triglyceride-Glucose Index and Obesity Indicators with Multiple Chronic Diseases: A Longitudinal Cohort Study Based on CHARLS.
Article in Journal of multidisciplinary healthcare, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Association Between TyG-WC and Gout in American Adults: A Cross-Sectional Study of NHANES 2003-2018.Health science reports · 2026Article
- Comparison of the predictive power of novel insulin resistance, lipid metabolism and obesity indices for the risk of developing dyslipidaemia in adults.BMC endocrine disorders · 2026Article
- A Link Between the Triglyceride-Glucose Index and the Risk of Hypertension Among Employees in the Titanium Dioxide Industry.Vascular health and risk management · 2026Article
- Association of the triglyceride-glucose index and its combination with obesity indices with cardio-renal-metabolic multimorbidity: two decades of follow-up in the Tehran Lipid and Glucose Study.Cardiovascular diabetology · 2025Article
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8 authors.
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Abstract
Objective: To explore the relationship between triglyceride glucose (TyG) and the obesity combined indexes and the occurrence of multiple chronic diseases (MCD), which will help to provide a basis for the prevention and treatment of this condition. Methods: 3037 participants in the China Health and Retirement Longitudinal Study, which was conducted from 2011 to 2015 were selected for this study. They were divided into four groups (Q1, Q2, Q3, Q4) based on the quartiles of TyG, TyG-BMI, TyGWC and TyGWHtR in the baseline data. A Cox proportional hazard model was used to analyze the risk of MCD associated with TyG and its obesity-related combined indicators. Dose-response relationships were analyzed using restricted cubic spline regression, and the predictive ability for detection of MCD was analyzed using ROC curve. Results: At the end of the follow-up in 2015, 473 new cases of MCD were observed among the study population, with an incidence rate of 15.6%. After adjusting for confounding factors, the risk of MCD significantly increased in the Q4 TyG, TyG-BMI, TyG-WC and TyG-WHtR index groups compared to the Q1 groups (p<0.001 in all cases). A linear dose-response relationship was observed between the TyG index and the risk of MCD, indicating increased risks of CKD with higher TyG indexes. However, the TyG-BMI, TyG-WC and TyG-WHtR indexes exhibited nonlinear dose-response relationships with the risk of MCD (P-nonlinearity <0.0001 in all cases), indicating higher indexes were associated with higher risks of MCD. The areas under the ROC curves for the Cox regression models of TyG, TyG-BMI, TyG-WC and TyG-WHtR indices were 0.610, 0.590, 0.590 and 0.607, respectively. Conclusion: The TyG, TyG-BMI, TyG-WC and TyG-WHtR indexes were found to be positively correlated with increased risk of developing MCD. Measurements and regulation of these indexes can be used to prevent and control the occurrence of MCD.
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