Developing and validating a nomogram prediction model for osteoporosis risk in the UK biobank: a national prospective cohort
The nomogram model could properly quantify the five-year risk of osteoporosis and identify high-risk individuals. This might effectively reduce the burden of osteoporosis on the population.
Authors
- Xiaoxin I Yao (ORCID: https://orcid.org/0000-0001-8317-9752)
- Shengjie Cui (ORCID: https://orcid.org/0000-0003-0330-1530)
- Huiyong Shen (ORCID: https://orcid.org/0000-0002-4317-3468)
- Xinning Tong (ORCID: https://orcid.org/0000-0003-2310-0365)
Institutions
- Sun Yat-sen University (CN)
- Eighth Affiliated Hospital of Sun Yat-sen University
Publication Details
- Journal
- BMC Public Health
- Published
- 2025-04-03
- DOI
- https://doi.org/10.1186/s12889-025-22485-x
- Citations
- 5
- Primary Topic
- Bone health and osteoporosis research
- Type
- article
- Field-Weighted Citation Impact
- 8.61
Funders
- National Natural Science Foundation of China
- Sun Yat-sen University
- Natural Science Foundation of Guangdong Province
- Shenzhen Science and Technology Innovation Program
- Basic and Applied Basic Research Foundation of Guangdong Province