A lifestyle-based prediction model for obesity in Chinese adolescent students
The proposed interpretable framework combines high predictive accuracy and sensitivity, offering a valuable tool for timely identification and intervention in high-risk adolescents. These findings underscore the potential of data-driven approaches in addressing adolescent obesity.
Authors
- Mei Jiang (ORCID: https://orcid.org/0000-0002-7393-2664)
- He Zhou (ORCID: https://orcid.org/0000-0002-8966-6188)
Institutions
- Chengdu Sport University (CN)
- Chengdu Institute of Information Technology (China) (CN)
- Science and Technology Department of Sichuan Province (CN)
- Southwest Jiaotong University (CN)
- Southwest Minzu University (CN)
Publication Details
- Journal
- Frontiers in Sports and Active Living
- Published
- 2025-10-30
- DOI
- https://doi.org/10.3389/fspor.2025.1677707
- Citations
- 1
- Primary Topic
- Obesity, Physical Activity, Diet
- Type
- article
- Field-Weighted Citation Impact
- 1.88
Funders
- Ministry of Education of the People's Republic of China
- Fundamental Research Funds for the Central Universities