Peer-Reviewed Publication
JMIR Mhealth Uhealth2026;14e98116.July 3, 2026Journal Article
Tobacco Use Trajectories and Associated Changes in Biometrics and Sleep During the First 72 Weeks of Wearable Membership: Observational Cohort Study.
Dylan J Curran1,2, Josh Leota3,4,5, William von Hippel1, Finnbarr Fielding1, Christopher J Chapman1, Jenna G Cohen1, David M Presby3,6,7, Reha Jhunjhunwala8, Kristen E Holmes1, Gregory J Grosicki1
1Department of Performance Science and Health Outcomes, WHOOP, Inc, Boston, MA, United States.
2School of Mathematics, Georgia Institute of Technology, Atlanta, GA, United States.
3Department of Research, Algorithms, and Data Science, WHOOP, Inc, Boston, MA, United States.
4Department of Medicine, Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, United States.
5School of Psychological Sciences, Monash University, Victoria, Australia.
6Swiss Institute of Bioinformatics, Lausanne, Switzerland.
7Department of Computational Biology, University of Lausanne, Lausanne, Switzerland.
8Department of Digital Health, WHOOP, Inc, Boston, MA, United States.
Abstract
BACKGROUND: Tobacco use remains a leading preventable cause of morbidity and mortality. Digital health tools and wearable technologies offer scalable opportunities for behavioral self-monitoring. However, real-world evidence characterizing long-term tobacco use trajectories and associated physiological changes during wearable adoption is limited.
OBJECTIVE: This study aims to characterize longitu…
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