Peer-Reviewed Publication
JMIR Form Res2026;10e86203.April 28, 2026Journal Article
Benefit of the N-of-1 Approach Versus Aggregate Analysis in Tracking Individual Trajectories During Pregnancy: Comparison of Longitudinal Wearable Observational Studies.
Tina Behrouzi1,2,3, Jennifer Yu1,2,3,4, Robin Yang5, Adrien Boch6,7, Anna Goldenberg1,2,3,8,9, Sarah M Goodday5,10, Stephen H Friend5,10
1Department of Computer Sciences, University of Toronto, Toronto, ON, Canada.
2Vector Institute, Toronto, ON, Canada.
3Genetics and Genome Biology Program, Hospital for Sick Children, Toronto, ON, Canada.
4Tri-institutional Computational Biology & Medicine, Weill Cornell Medicine, New York, NY, United States.
54YouandMe, 185 Great Neck Road, Great Neck, NY, 11021-3326, United States, 1 215-421-3073.
6Meta (United States), San Francisco, CA, United States.
7Evidation Health (United States), San Mateo, CA, United States.
8Department of Laboratory Pathology and Medicine, University of Toronto, Toronto, ON, Canada.
9Canadian Institute for Advanced Research, Toronto, ON, Canada.
10Department of Psychiatry, University of Oxford, Oxford, United Kingdom.
Abstract
BACKGROUND: Personal digital health technologies (DHTs) enable real-time monitoring of physiological metrics and behavioral data, including heart rate variability (HRV), supporting analysis of pregnancy-related conditions and personalized care throughout the perinatal period. While recent studies demonstrate the utility of personal DHTs in tracking pregnancy-related symptoms, they often rely on ag…
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