The additive effect of cardiopulmonary fitness and triglyceride-glucose index on the risk of metabolic syndrome
This study reveals that CRF and TyG index independently predict MetS risk, while their combination demonstrates superior predictive accuracy compared to using either parameter alone. These findings indicate that integrating both CRF and TyG into clinical practice may improve early detection and preventive strategies for MetS.
Authors
- Mengyi Li (ORCID: https://orcid.org/0009-0002-8253-2408)
- Hanbin Li (ORCID: https://orcid.org/0009-0003-8798-9965)
- Hongxin Cheng (ORCID: https://orcid.org/0000-0002-7057-8292)
- Lu Wang (ORCID: https://orcid.org/0000-0001-8624-8936)
- Shiqi Wang (ORCID: https://orcid.org/0000-0003-2010-0132)
- Wen Zhong (ORCID: https://orcid.org/0009-0006-5374-147X)
- Wei Quan (ORCID: https://orcid.org/0000-0002-0863-7060)
Institutions
- Sichuan University (CN)
- West China Hospital of Sichuan University (CN)
- Science and Technology Department of Sichuan Province (CN)
Publication Details
- Journal
- BMC Cardiovascular Disorders
- Published
- 2025-09-26
- DOI
- https://doi.org/10.1186/s12872-025-05115-7
- Primary Topic
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- China Postdoctoral Science Foundation
- National Science and Technology Major Project
- Natural Science Foundation of Sichuan Province