ORIGINAL RESEARCH article
Front. Cardiovasc. Med.
Sec. Cardiovascular Epidemiology and Prevention
Volume 12 - 2025 | doi: 10.3389/fcvm.2025.1509789
Association Between Triglyceride-Glucose-Body Mass Index and Cardiovascular Disease Risk in Chinese Adults: Insights from CHARLS
Provisionally accepted
Jianwei Zhou1*
Yuanyuan Zhong2- 1Department of Cardiology, Pu'er People's Hospital, Pu'er, Yunnan Province, China
- 2Department of Neurology, Pu'er People's Hospital, Pu'er, Yunnan Province, China
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Background: This study aimed to explore the relationship between the Triglyceride-Glucose-Body Mass Index (TyG-BMI) and cardiovascular disease (CVD) risk among Chinese individuals aged 45 and older.Methods: The study used data from the China Health and Retirement Longitudinal Study (CHARLS) from 2011 to 2020, involving 19,957 participants. The TyG-BMI index was calculated as the product of the TyG index (ln[triglycerides × fasting glucose/2]) and Body Mass Index (BMI). Multivariate logistic regression models were used to investigate the association between the TyG-BMI index and the risk of CVD. Restricted cubic spline analysis was performed to assess the nonlinear dose-response relationship between TyG-BMI and CVD.Results: Participants with CVD had significantly higher BMI, age, and TyG-BMI index compared to those without CVD (p < 0.001). The multivariate logistic regression model showed a significant association between the TyG-BMI index and heart failure (HF) risk in unadjusted models (OR: 1.007, p < 0.001). However, after adjusting for all covariates, the association was no longer significant (OR: 1.001, p = 0.356). Restricted cubic spline analysis indicated a J-shaped dose-response relationship between TyG-BMI and CVD risk (p for nonlinear < 0.001).Conclusion: The TyG-BMI index was significantly associated with CVD risk in Chinese individuals, suggesting its potential utility as a tool for identifying high-risk populations for CVD prevention and control. However, this association was attenuated after adjustment for diabetes, indicating that the TyG-BMI index may be most clinically valuable for CVD risk prediction in the prediabetic stage.
Keywords: TyG-BMI index, cardiovascular disease, CVD risk, China, CHARLS, Heart Failure, metabolic syndrome
Received: 14 Oct 2024; Accepted: 19 May 2025.
Copyright: © 2025 Zhou and Zhong. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Jianwei Zhou, Department of Cardiology, Pu'er People's Hospital, Pu'er, 665099, Yunnan Province, China
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