This paper is in the following e-collection/theme issue:

Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (997) mHealth for Data Collection and Research (1196) Wearable Devices and Sensors (1133) Insomnia and Sleep Hygiene (248) Fitness Trackers and Smart Pedometers/Accelerometers (665) Sleep Apnea (36) Sleep Monitoring, Sleep Quality, Sleep Disorders (268)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/77641, first published .
Digital Biometrics in Predicting Risk for Obstructive Sleep Apnea and Hypertension: Decentralized, Prospective Cohort Study

Digital Biometrics in Predicting Risk for Obstructive Sleep Apnea and Hypertension: Decentralized, Prospective Cohort Study

Digital Biometrics in Predicting Risk for Obstructive Sleep Apnea and Hypertension: Decentralized, Prospective Cohort Study

Authors of this article:

Natalia Orendain1 Author Orcid Image ;   Samantha Spierling Bagsic1 Author Orcid Image ;   Edward Ramos2 Author Orcid Image ;   Jay Pandit1 Author Orcid Image ;   Robert L Owens3 Author Orcid Image ;   Stuti Jaiswal2 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Natalia Orendain   1 , MPH, PhD ;   Samantha Spierling Bagsic   1 , PhD ;   Edward Ramos   2 , PhD ;   Jay Pandit   1 , MD ;   Robert L Owens   3 , MD ;   Stuti Jaiswal   2 , MD, PhD

1 Department of Research & Development, Scripps Health, La Jolla, CA, United States

2 Department of Translational Medicine, Scripps Research Institute, La Jolla, CA, United States

3 Division of Pulmonary, Sleep, and Critical Care, University of California San Diego School of Medicine, La Jolla, CA, United States

Corresponding Author:

  • Stuti Jaiswal, MD, PhD
  • Department of Translational Medicine
  • Scripps Research Institute
  • 3344 N Torrey Pines Ct. Ste 300
  • La Jolla, CA 92037
  • United States
  • Phone: +1 858-784-1000
  • Email: stuti@scripps.edu