Assessing and predicting type 2 diabetes risk with triglyceride glucose‐body mass index in the Chinese nondiabetic population—Data from long‐term follow‐up of Da Qing <scp>IGT</scp> and Diabetes Study
In this post hoc study, higher TyG-BMI was associated with an increased risk of type 2 diabetes and demonstrated better predictability than TyG and HOMA-IR, favoring the application of TyG-BMI as a potential tool for evaluating the risk of type 2 diabetes in clinical practice.
Authors
- Jinping Wang (ORCID: https://orcid.org/0000-0003-4281-8794)
- Zhiwei Yang (ORCID: https://orcid.org/0000-0001-6969-8177)
- Xin Qian (ORCID: https://orcid.org/0000-0003-2961-3380)
- Guangwei Li (ORCID: https://orcid.org/0000-0003-1061-7293)
- Bo Chen (ORCID: https://orcid.org/0000-0002-5777-6876)
- Bo Zhang (ORCID: https://orcid.org/0000-0003-3060-7850)
- Haixu Wang (ORCID: https://orcid.org/0000-0002-8037-7953)
- Qiuhong Gong (ORCID: https://orcid.org/0000-0002-8781-1214)
- Siyao He
Institutions
- Chinese Center For Disease Control and Prevention (CN)
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- China-Japan Friendship Hospital (CN)
- Daqing Oilfield General Hospital (CN)
Publication Details
- Journal
- Journal of Diabetes
- Published
- 2024-10-01
- DOI
- https://doi.org/10.1111/1753-0407.70001
- Citations
- 10
- Primary Topic
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Type
- article
- Field-Weighted Citation Impact
- 3.58
Funders
- World Bank Group
- World Health Organization
- Chinese Center for Disease Control and Prevention
- Centers for Disease Control and Prevention
- China-Japan Friendship Hospital