Digital biometrics in predicting risk for obstructive sleep apnea and hypertension: A decentralized, prospective cohort study (Preprint)

• DOI: 10.2196/preprints.77641
• Publication Date: 2025-05-19T09:30:07Z
• Authors: Natalia Orendain; Samantha Spierlin...; Edward Ramos; Jay Pandit; Robert L Owens; Stuti Jaiswal
• Keywords: Preprint

<sec> <title>BACKGROUND</title> Sleep is an important component of human health and can be measured longitudinally using digital activity trackers. Further, decentralized research data collection has the potential to provide a real-world picture sleep in large populations. We hypothesized that longitudinal patterns from trackers could predict risk obstructive apnea (OSA) similar Berlin questionnaire for hypertension based on self-report. </sec> <title>OBJECTIVE</title> To test ability biometric disease. <title>METHODS</title> recruited adults ≥18 years nationwide join our sleep-focused smartphone-based study, called Research Framework Exploring Health (REFRESH). Participants were asked fill out health-related surveys including questionnaire, which also includes self-reported hypertension, Horne-Ostberg chronotype. optionally link their own tracker application collect data. <title>RESULTS</title> analyzed 391 participants, 67.9% women, 40.4% whom demonstrated evening Collinearity testing showed OSA considered independently. Increased variability predicted both this cohort, when as ground truth. <title>CONCLUSIONS</title> Decentralized information regarding some outcomes. gaining increasing importance context health. <title>CLINICALTRIAL</title> NCT05197738