To investigate the association between cumulative triglyceride-glucose-body mass index (TyG-BMI) exposure and the risk of cardiovascular disease (CVD) in the Chinese population.
Approach:
Study Design: The Kailuan Study included 47,577 individuals without a history of CVD or cancer, who underwent health examinations in 2006, 2008, and 2010.
Cumulative Exposure Calculation: Cumulative TyG-BMI exposure was calculated as the weighted sum of the mean TyG-BMI for each time interval.
Statistical Analysis: Cox proportional hazards regression models were used to calculate hazard ratios and 95% confidence intervals for the relationship between cumulative TyG-BMI exposure and risk of CVD.
Key Findings:
3,514 incident cardiovascular events occurred during a median follow-up of 10 years.
The risk of CVD increased with increasing cumulative TyG-BMI exposure quartile.
Cox regression analysis yielded hazard ratios of 1.32, 1.33, and 1.44 for the Q2, Q3, and Q4 groups compared to the Q1 group.
A significant non-linear relationship was found between cumulative TyG-BMI index and the risk of CVD.
The area under the ROC curve for cumulative TyG-BMI was 0.6047, indicating modestly higher discriminative performance than TyG and BMI.
Interpretation:
High cumulative TyG-BMI exposure is associated with an increased risk of CVD.
Limitations:
The study is limited to a specific population in China, which may affect generalizability.
Causal relationships cannot be established due to the observational nature of the study.
Conclusion:
Cumulative TyG-BMI exposure is linked to increased CVD risk.
