Key result
Each 1-standard deviation increase in the triglyceride glucose-body roundness index was significantly associated with an increased risk of incident cardiovascular disease (OR 1.251).
Why the study?
Research on the long-term impact of changes in obesity and metabolic markers on CVD risk is limited.
Does the TyG-BRI composite index predict cardiovascular disease incidence better than TyG or BRI alone in middle-aged and elderly Chinese adults?
Cohort (n=4,446)
Yes
Does the TyG-BRI composite index predict cardiovascular disease incidence better than TyG or BRI alone in middle-aged and elderly Chinese adults?
Odds Ratio: 1.251 (95% CI 1.139–1.373)
p-value: p=<0.001
The TyG-BRI composite index is a superior predictor of cardiovascular disease risk compared to TyG or BRI alone in middle-aged and older Chinese adults.
Long-term TyG-BRI changes may flag higher CVD risk; leaves open whether modifying the index alters outcomes.
Background Cardiovascular disease (CVD) is a major global health issue. The triglyceride-glucose (TyG) index, a marker of insulin resistance, and the body roundness index (BRI), reflecting visceral adiposity, are key risk factors for chronic diseases. However, research on the long-term impact of changes in obesity and metabolic markers on CVD risk is limited. This study examines the association between long-term changes in the TyG-BRI composite index and CVD incidence in middle-aged and older Chinese adults. Methods Data were obtained from the China Health and Retirement Longitudinal Study, which included 4,446 middle-aged and elderly from 2011 to 2015. The participants were classified into three clusters based on TyG-BRI changes by K-means clustering method. Logistic regression analyses and restricted cubic spline (RCS) regression analyses were used to assess the association between the TyG-BRI and CVD incidence. Receiver operating characteristic (ROC) curves were generated to compare the predictive accuracy of the TyG-BRI, TyG, and BRI. Results By the end of 2015, 1,007 participants (22.6%) had developed CVD. The incidence of CVD increased progressively across TyG-BRI clusters. After adjusting for multiple covariates, logistic regression analysis revealed a significant correlation between the TyG-BRI and the onset of CVD [odds ratio, 95% confidence interval: 1.251 (1.139–1.373) per 1 SD increase]. The RCS regression analysis revealed a significant positive and linear relationship between the TyG-BRI and CVD incidence ( P for overall < 0.001, P for nonlinear = 0.874). ROC analysis revealed that the TyG-BRI had greater predictive accuracy for CVD than either BRI or TyG alone did (AUC: 0.678 vs. 0.583 and 0.555, P < 0.001). Conclusion Long-term variations in the TyG-BRI index are closely associated with CVD risk, demonstrating superior predictive performance compared to using BRI or TyG alone. Our findings offer new insights into the interplay between metabolic dysfunction and cardiovascular risk. TyG-BRI may serve as a more effective auxiliary tool for CVD risk assessment and provides valuable guidance for the early identification of high-risk populations.
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Yu et al. (2025) conducted a cohort in Cardiovascular disease (n=4,446). Triglyceride glucose-body roundness index (TyG-BRI) vs. Lower TyG-BRI was evaluated on Incidence of cardiovascular disease (CVD) (OR 1.251, 95% CI 1.139-1.373, p=<0.001). Each 1-standard deviation increase in the triglyceride glucose-body roundness index was significantly associated with an increased risk of incident cardiovascular disease (OR 1.251).
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