Construction and verification of the prediction model for risk of sleep disturbance in elderly patients with hypertension: a cross-sectional survey based on NHANES database from 2005 to 2018
The prevalence of sleep disturbance among elderly hypertensive patients stands at 33.283%. The nomogram model, based on identified risk factors for sleep disturbance in this population, has demonstrated good predictive efficiency and clinical relevance. It serves as a valuable tool to assist healthcare providers in identifying elderly hypertensive patients at high risk for sleep disturbance.
Authors
- Ying Jiang (ORCID: https://orcid.org/0000-0001-6269-0172)
- Jiangli Cao (ORCID: https://orcid.org/0000-0003-0610-3548)
- Shiqiang Hou (ORCID: https://orcid.org/0000-0002-1694-7202)
- Xiaojuan Zhou (ORCID: https://orcid.org/0000-0002-6632-3297)
- Fangfang Zhao (ORCID: https://orcid.org/0000-0001-8242-5069)
- Tingting Wang (ORCID: https://orcid.org/0000-0002-8250-2594)
- Lixiang Zhang (ORCID: https://orcid.org/0000-0002-9139-1064)
Institutions
- University of Science and Technology of China (CN)
Publication Details
- Journal
- BMC Geriatrics
- Published
- 2024-10-19
- DOI
- https://doi.org/10.1186/s12877-024-05456-6
- Citations
- 8
- Primary Topic
- Sleep and related disorders
- Type
- article
- Field-Weighted Citation Impact
- 4.06