Population differences in wearable device wear time: Rescuing data to address biases and advance health equity.

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Bibliographic Details
Title: Population differences in wearable device wear time: Rescuing data to address biases and advance health equity.
Authors: Hurwitz E; Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States., Connelly E; Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States., Sklerov M; Department of Neurology, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States., Master H; Department of Health Sciences, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States., Hochheiser H; Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, United States., Butzin-Dozier Z; Division of Biostatistics, University of California Berkeley School of Public Health, Berkeley, CA, United States., Dunn J; Department of Biomedical Engineering, Duke University, Durham, NC, United States., Haendel MA; Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Source: MedRxiv : the preprint server for health sciences [medRxiv] 2026 Mar 06. Date of Electronic Publication: 2026 Mar 06.
Publication Type: Journal Article; Preprint
Journal Info: Country of Publication: United States NLM ID: 101767986 Publication Model: Electronic Cited Medium: Internet NLM ISO Abbreviation: medRxiv Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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