Digital Biometrics in Predicting Risk for Obstructive Sleep Apnea and Hypertension: Decentralized, Prospective Cohort Study
Our study demonstrates the utility of decentralized digital health studies in sleep research. It highlights the potential of activity trackers to predict risk for OSA and hypertension without requiring other patient information or assessment. Sleep variability is gaining increasing importance in the context of sleep health. Digital devices have the potential to help individuals assess their risk for certain disorders.
Authors
- Robert L. Owens (ORCID: https://orcid.org/0000-0002-6515-6204)
- Jay Pandit (ORCID: https://orcid.org/0000-0003-0119-0881)
- Stuti J. Jaiswal (ORCID: https://orcid.org/0000-0002-9098-1724)
- Samantha R. Spierling Bagsic (ORCID: https://orcid.org/0000-0003-1274-3736)
- Natalia Orendain (ORCID: https://orcid.org/0000-0001-8079-4880)
- Edward Ramos (ORCID: https://orcid.org/0000-0003-1675-7094)
Institutions
- Scripps Research Institute (US)
- Scripps Health (US)
- University of California System (US)
- University of California San Diego (US)
Publication Details
- Journal
- Journal of Medical Internet Research
- Published
- 2025-09-15
- DOI
- https://doi.org/10.2196/77641
- Primary Topic
- Obstructive Sleep Apnea Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00