Construction and validation of a multi-dimensional health indicator-driven osteoporosis risk prediction model: a large-sample cross-sectional study based on two centers
The osteoporosis risk prediction model based on multi-dimensional health indicators demonstrates good discriminative performance, calibration, and clinical utility, providing an effective tool for early screening and precision prevention of osteoporosis in elderly populations.
Authors
- Hanyu Ni (ORCID: https://orcid.org/0000-0002-0175-5718)
- Zhifeng Cai (ORCID: https://orcid.org/0000-0003-0564-000X)
- Zhi Xu (ORCID: https://orcid.org/0000-0003-3546-1774)
- Xun Lu (ORCID: https://orcid.org/0000-0002-4992-0241)
Institutions
- Soochow University (CN)
- Zhangjiagang First People's Hospital (CN)
- Zhangjiagang Smartgrid Fanghua Electrical Energy Storage Research Institute (CN)
Publication Details
- Journal
- BMC Musculoskeletal Disorders
- Published
- 2025-10-17
- DOI
- https://doi.org/10.1186/s12891-025-09229-z
- Primary Topic
- Bone health and osteoporosis research
- Type
- article
- Field-Weighted Citation Impact
- 0.00