Comparative performance of body roundness index and traditional obesity indices in predicting cardiovascular risk: machine learning insights from three prospective aging cohorts
Age, hypertension, SBP, BMI, and BRI were significant predictors of incident CVD in middle-aged and older adults, highlighting the impact of obesity on CVD risk, and consequently offered a valuable model for public health strategies to prevent CVD.
Authors
- Shan Qiao (ORCID: https://orcid.org/0000-0003-1834-1834)
- Ying Wang (ORCID: https://orcid.org/0000-0002-1444-5778)
- Yinghuan Zhang (ORCID: https://orcid.org/0009-0002-6987-1552)
- Fan Hu (ORCID: https://orcid.org/0000-0002-7929-6953)
- Xu Chen (ORCID: https://orcid.org/0000-0002-2603-102X)
- Yong Cai (ORCID: https://orcid.org/0000-0002-5706-7906)
- Xue Yang (ORCID: https://orcid.org/0000-0001-6053-8855)
- Yuxuan Wang (ORCID: https://orcid.org/0009-0008-8573-2839)
- Meihui Zhang (ORCID: https://orcid.org/0000-0002-8104-6590)
Institutions
- University of South Carolina (US)
- Chinese University of Hong Kong (HK)
- Shanghai Jiao Tong University (CN)
- Tongren Hospital (CN)
- Shanghai Hospital Development Center (CN)
- Department of Health Services (US)
Publication Details
- Journal
- Frontiers in Endocrinology
- Published
- 2025-09-25
- DOI
- https://doi.org/10.3389/fendo.2025.1653328
- Citations
- 1
- Primary Topic
- Nutritional Studies and Diet
- Type
- article
- Field-Weighted Citation Impact
- 1.88
Funders
- Shanghai Municipal Health Commission