Development and validation of a risk identification model for frailty in stroke survivors: new evidence from CHARLS
The model derived from CHARLS data identified 5 readily assessable predictors (age, sleep quality, balance, anxiety, and living alone), allowing for early screening of frailty without specialized instruments. It demonstrated superior discriminatory performance compared to models from smaller-sample studies, supporting targeted interventions and providing valuable insights for identifying high-risk stroke survivors.
Authors
- Rick Yiu Cho Kwan (ORCID: https://orcid.org/0000-0002-4332-780X)
- Jiaxian Wang
- Lorna Kwai Ping Suen (ORCID: https://orcid.org/0000-0002-0126-6674)
- Simon Ching Lam (ORCID: https://orcid.org/0000-0002-2982-9192)
- Ning Liu
Institutions
- Tung Wah College (HK)
- Zunyi Medical University (CN)
Publication Details
- Journal
- BMC Public Health
- Published
- 2025-08-27
- DOI
- https://doi.org/10.1186/s12889-025-24198-7
- Citations
- 1
- Primary Topic
- Frailty in Older Adults
- Type
- article
- Field-Weighted Citation Impact
- 1.22
Funders
- Innovative Research Group Project of the National Natural Science Foundation of China
- Peking University