Joint effects of triglyceride glucose index and its obesity-related derivatives with estimated glucose disposal rate on cardiometabolic multimorbidity in middle-aged and older Chinese adults: a nationwide cohort study
Background The triglyceride-glucose (TyG) index, TyG-body mass index (TyG-BMI), TyG-waist circumference (TyG-WC), TyG-waist-to-height ratio (TyG-WHtR), and estimated glucose disposal rate (eGDR) serve as surrogate markers of insulin resistance (IR) and are associated with cardiometabolic diseases (CMDs). However, the joint effects of TyG-related indices and eGDR on cardiometabolic multimorbidity (CMM) risk remains unclear. This study aims to assess both separate and combined effects of TyG-related indices and eGDR on CMM. Methods The data of this study derived from the China Health and Retirement Longitudinal Study (CHARLS). TyG-related indices and eGDR were dichotomized at their median levels for participant categorization. Univariate and multivariate Cox regression and restricted cubic splines (RCS) analyzed effects of TyG-related indices and eGDR on CMM, while receiver operating characteristic (ROC) curves, net reclassification improvement (NRI) and integrated discrimination improvement (IDI) assessed their predictive performance. Meanwhile, the mutual mediating effects and interaction effects were further assessed. Results This study included 5,854 participants (male: 47.5%, median age: 57.0 years). Compared to low TyG-related indices plus high eGDR, High TyG-related indices plus low eGDR had elevated CMM risks: TyG (HR 3.59, 95% CI 2.28–5.65), TyG-BMI (HR 3.40, 95% CI 2.30–5.02), TyG-WC (HR 3.85, 95% CI 2.58–5.75), and TyG-WHtR (HR 3.62, 95% CI 2.43–5.39). Furthermore, the addition of TyG-related indices combined with eGDR to the basic model significantly improved CMM risk prediction: TyG (AUC 0.713, NRI 0.363, IDI 0.008, all p
Background The triglyceride-glucose (TyG) index, TyG-body mass index (TyG-BMI), TyG-waist circumference (TyG-WC), TyG-waist-to-height ratio (TyG-WHtR), and estimated glucose disposal rate (eGDR) serve as surrogate markers of insulin resistance (IR) and are associated with cardiometabolic diseases (CMDs). However, the joint effects of TyG-related indices and eGDR on cardiometabolic multimorbidity (CMM) risk remains unclear. This study aims to assess both separate and combined effects of TyG-related indices and eGDR on CMM. Methods The data of this study derived from the China Health and Retirement Longitudinal Study (CHARLS). TyG-related indices and eGDR were dichotomized at their median levels for participant categorization. Univariate and multivariate Cox regression and restricted cubic splines (RCS) analyzed effects of TyG-related indices and eGDR on CMM, while receiver operating characteristic (ROC) curves, net reclassification improvement (NRI) and integrated discrimination improvement (IDI) assessed their predictive performance. Meanwhile, the mutual mediating effects and interaction effects were further assessed. Results This study included 5,854 participants (male: 47.5%, median age: 57.0 years). Compared to low TyG-related indices plus high eGDR, High TyG-related indices plus low eGDR had elevated CMM risks: TyG (HR 3.59, 95% CI 2.28–5.65), TyG-BMI (HR 3.40, 95% CI 2.30–5.02), TyG-WC (HR 3.85, 95% CI 2.58–5.75), and TyG-WHtR (HR 3.62, 95% CI 2.43–5.39). Furthermore, the addition of TyG-related indices combined with eGDR to the basic model significantly improved CMM risk prediction: TyG (AUC 0.713, NRI 0.363, IDI 0.008, all p
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