Predictive Modeling of Preoperative Sleep Disorder Risk in Older Adults by Using Data From Wearable Monitoring Devices: Prospective Cohort Study
The risk prediction model developed using smart ring-derived data effectively identifies older adult surgical patients at elevated risk of preoperative sleep disturbances, thereby facilitating timely and individualized interventions. This advancement provides a robust scientific foundation for delivering personalized perioperative care, with the potential to improve postoperative outcomes and alleviate the health care burden in this vulnerable population.
Authors
- Qingde Wa (ORCID: https://orcid.org/0000-0002-0763-7827)
- Shuwen Huang
- Puzhong Gao
- Xusihong Cai
- Binxu Yang
- Jing Zhou
- Jingjing Li
- Xinxin Shao
- Dan Feng
- Yu Huang
Institutions
- Zunyi Medical University (CN)
Publication Details
- Journal
- JMIR Formative Research
- Published
- 2026-01-19
- DOI
- https://doi.org/10.2196/79008
- Primary Topic
- Obstructive Sleep Apnea Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00