Abstract
Background: The triglyceride-glucose (TyG) index has emerged as a promising biomarker for assessing insulin resistance. Considering the impact of obesity on insulin resistance, some researchers combined TyG with body mass index (BMI), waist circumference (WC), waist-height ratio (WHtR) and other anthropometrics and used these to predict metabolic disease. Weight-adjusted waist index (WWI) was considered to be a more accurate parameter of obesity than other anthropometrics, but no studies have combined WWI with TyG index. Aims: To investigate whether TyG-WWI was superior to other indices in assessing diabetes risk and mortality risk. Methods: This study utilized data from the National Health and Nutrition Examination Survey. A total of 19,894 participants were included. TyG-WWI and other TyG-derived indices were calculated, and their associations with diabetes mellitus (DM), All-cause mortality, cardiovascular disease (CVD) mortality, and DM-related mortality were evaluated using logistic regression, Cox regression, and receiver operating characteristic curve (ROC) analysis. Results: TyG-WWI was positively associated with the risk of DM (OR: 1.11, 95%CI: 1.10–1.12, P < 0.001) and various mortality outcomes, including All-cause mortality (HR: 1.02, 95%CI: 1.01–1.02, P < 0.001), CVD mortality (HR: 1.01, 95%CI: 1.01–1.02, P = 0.014), and DM-related mortality (HR: 1.04, 95%CI: 1.01–1.08, P = 0.013). ROC showed that TyG-WWI had the largest area under the curve for predicting DM (AUC: 0.81, 95% CI: 0.80–0.81), All-cause mortality (AUC: 0.69, 95% CI: 0.68–0.70), CVD mortality (AUC: 0.71, 95% CI: 0.69–0.72), and DM-related mortality (AUC: 0.85, 95% CI: 0.82–0.89) compared to other TyG-derived indices. Conclusions: TyG-WWI demonstrates superior predictive accuracy for DM and mortality risks compared to the standalone TyG index and other TyG-derived indices.
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Tu, J., Wu, B., Chen, H., & Guo, Y. (2025). Triglyceride glucose-weight-adjusted waist index (TyG-WWI): the best predictor of diabetes mellitus and mortality risks among TyG and TyG-derived indices. BMC Endocrine Disorders, 25(1). https://doi.org/10.1186/s12902-025-01989-y
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