Association of step counts over time with the risk of chronic disease in the All of Us Research Program.


Journal

Nature medicine
ISSN: 1546-170X
Titre abrégé: Nat Med
Pays: United States
ID NLM: 9502015

Informations de publication

Date de publication:
11 2022
Historique:
received: 28 03 2022
accepted: 15 08 2022
pubmed: 11 10 2022
medline: 22 11 2022
entrez: 10 10 2022
Statut: ppublish

Résumé

The association between physical activity and human disease has not been examined using commercial devices linked to electronic health records. Using the electronic health records data from the All of Us Research Program, we show that step count volumes as captured by participants' own Fitbit devices were associated with risk of chronic disease across the entire human phenome. Of the 6,042 participants included in the study, 73% were female, 84% were white and 71% had a college degree, and participants had a median age of 56.7 (interquartile range 41.5-67.6) years and body mass index of 28.1 (24.3-32.9) kg m

Identifiants

pubmed: 36216933
doi: 10.1038/s41591-022-02012-w
pii: 10.1038/s41591-022-02012-w
pmc: PMC9671804
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

2301-2308

Subventions

Organisme : NIH HHS
ID : U2C OD023196
Pays : United States

Commentaires et corrections

Type : CommentIn
Type : ErratumIn

Informations de copyright

© 2022. The Author(s).

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Auteurs

Hiral Master (H)

Vanderbilt Institute of Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA.

Jeffrey Annis (J)

Vanderbilt Institute of Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA.

Shi Huang (S)

Department of Biostatistics, Vanderbilt University School of Medicine, Nashville, TN, USA.

Joshua A Beckman (JA)

Division of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.

Francis Ratsimbazafy (F)

Vanderbilt Institute of Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA.

Kayla Marginean (K)

Vanderbilt Institute of Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA.

Robert Carroll (R)

Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA.

Karthik Natarajan (K)

Department Biomedical Informatics, Columbia University, New York, NY, USA.

Frank E Harrell (FE)

Department of Biostatistics, Vanderbilt University School of Medicine, Nashville, TN, USA.

Dan M Roden (DM)

Department of Medicine and Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA.

Paul Harris (P)

Department of Biomedical Informatics, Biomedical Engineering and Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA.

Evan L Brittain (EL)

Division of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, TN, USA. evan.brittain@vumc.org.

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Classifications MeSH