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

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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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DbLabel: MEDLINE Ultimate
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PubType: Academic Journal
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  Data: Population differences in wearable device wear time: Rescuing data to address biases and advance health equity.
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  Data: <searchLink fieldCode="AU" term="%22Hurwitz+E%22">Hurwitz E</searchLink>; Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.<br /><searchLink fieldCode="AU" term="%22Connelly+E%22">Connelly E</searchLink>; Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.<br /><searchLink fieldCode="AU" term="%22Sklerov+M%22">Sklerov M</searchLink>; Department of Neurology, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.<br /><searchLink fieldCode="AU" term="%22Master+H%22">Master H</searchLink>; Department of Health Sciences, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.<br /><searchLink fieldCode="AU" term="%22Hochheiser+H%22">Hochheiser H</searchLink>; Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, United States.<br /><searchLink fieldCode="AU" term="%22Butzin-Dozier+Z%22">Butzin-Dozier Z</searchLink>; Division of Biostatistics, University of California Berkeley School of Public Health, Berkeley, CA, United States.<br /><searchLink fieldCode="AU" term="%22Dunn+J%22">Dunn J</searchLink>; Department of Biomedical Engineering, Duke University, Durham, NC, United States.<br /><searchLink fieldCode="AU" term="%22Haendel+MA%22">Haendel MA</searchLink>; Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
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  Data: <searchLink fieldCode="JN" term="%22101767986%22">MedRxiv : the preprint server for health sciences</searchLink> [medRxiv] 2026 Mar 06. <i>Date of Electronic Publication: </i>2026 Mar 06.
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  Data: <i>Country of Publication: </i>United States <i>NLM ID: </i>101767986 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>NLM ISO Abbreviation: </i>medRxiv <i>Subsets: </i>PubMed not MEDLINE
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        Value: 10.64898/2026.03.06.26347799
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        Text: English
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              Text: 2026 Mar 06
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