Urban–rural disparities in fall risk among older Chinese adults: insights from machine learning-based predictive models
The key factors influencing falls among older people differ between urban and rural areas, and the predictive models effectively identify high-risk populations in both settings. This facilitates targeted prevention and precise interventions, supporting healthy aging in China.
Authors
- Delong Li (ORCID: https://orcid.org/0000-0002-6930-8391)
- YiKun Zheng (ORCID: https://orcid.org/0009-0005-3288-5506)
- LiHan Lin (ORCID: https://orcid.org/0009-0004-3235-7669)
- Xiaoyang Liu (ORCID: https://orcid.org/0000-0002-7128-8457)
- GuoPeng Hu
- CaiHua Cai
Institutions
- Fujian Normal University (CN)
- Huaqiao University (CN)
- Fujian Medical University (CN)
- Second Affiliated Hospital of Fujian Medical University (CN)
Publication Details
- Journal
- Frontiers in Public Health
- Published
- 2025-05-15
- DOI
- https://doi.org/10.3389/fpubh.2025.1597853
- Citations
- 6
- Primary Topic
- Balance, Gait, and Falls Prevention
- Type
- article
- Field-Weighted Citation Impact
- 28.56
Funders
- Natural Science Foundation of Fujian Province