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.

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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
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article

Predictive Modeling of Preoperative Sleep Disorder Risk in Older Adults by Using Data From Wearable Monitoring Devices: Prospective Cohort Study

Qingde Wa, Shuwen Huang, Puzhong Gao, Xusihong Cai et al.
JMIR Formative Research
Obstructive Sleep Apnea Research
article

Predictive Modeling of Preoperative Sleep Disorder Risk in Older Adults by Using Data From Wearable Monitoring Devices: Prospective Cohort Study

Qingde Wa, Shuwen Huang, Puzhong Gao, Xusihong Cai, Binxu Yang, Jing Zhou, Jingjing Li, Xinxin Shao, Dan Feng, Yu Huang
article en

Abstract

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.

JMIR Formative ResearchVol. 10
Zunyi Medical University (CN)
No poverty
Openalex Percentile: Top 85%
Obstructive Sleep Apnea Research
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