Evidence map›Paper›PMID 36216933›Full record

ArticleNature medicine2022

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

Hiral Master, Jeffrey Annis, Shi Huang, Joshua A Beckman, Francis Ratsimbazafy, Kayla Marginean, Robert Carroll, Karthik Natarajan, Frank E Harrell, Dan M Roden and 2 more

Erratum issuedOpen access · hybridAbstract read
In one paragraph

Article in Nature medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 139 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
139citing papers in PubMed, 3 pooled it
21.0field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

139 citing papers in PubMed, 3 syntheses or guidelines pooled it, 199 citations in OpenAlex.

  1. Pooled it
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  14. Association of genetic risk and physical activity with incident type 2 diabetes.The Journal of clinical endocrinology and metabolism · 2026
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79 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 3 institutions in 1 country.

Hiral MasterVanderbilt Institute of Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA.ORCID http://orcid.org/0000-0003-0019-3087
Jeffrey AnnisVanderbilt Institute of Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA.
Shi HuangDepartment of Biostatistics, Vanderbilt University School of Medicine, Nashville, TN, USA.
Joshua A BeckmanDivision of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
Francis RatsimbazafyVanderbilt Institute of Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA.
Kayla MargineanVanderbilt Institute of Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA.
Robert CarrollDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA.ORCID http://orcid.org/0000-0003-3802-8183
Karthik NatarajanDepartment Biomedical Informatics, Columbia University, New York, NY, USA.ORCID http://orcid.org/0000-0002-9066-9431
Frank E HarrellDepartment of Biostatistics, Vanderbilt University School of Medicine, Nashville, TN, USA.ORCID http://orcid.org/0000-0001-5843-3392
Dan M RodenDepartment of Medicine and Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA.
Paul HarrisDepartment of Biomedical Informatics, Biomedical Engineering and Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA.ORCID http://orcid.org/0000-0002-1744-2011
Evan L BrittainDivision of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, TN, USA. evan.brittain@vumc.org.
Vanderbilt University Medical Center · USVanderbilt University · USColumbia University · US

Funding

Technology to Empower Changes in Health (TECH) Network Participant Technologies CenterU24OD023176 · OD · SCRIPPS RESEARCH INSTITUTE, THE · PI TOPOL, ERIC JEFFREY · 2016 to 2022
$204.7M
Precision Medicine Initiative Cohort Program BiobankU24OD023121 · OD · MAYO CLINIC ROCHESTER · PI CEKANOVA, MARIA, CICEK, MINE · 2016 to 2024
$185.5M
Enhancing All of Us Data Resources for Nutrition Precision Health: the All of Us Data and Research CenterU2COD023196 · OD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GLAZER, DAVID, HARRIS, PAUL A. · 2016 to 2022
$143.7M
Adaptive Platform for Personalized EngagementU24OD023163 · OD · VIGNET, INC. · PI JAIN, PRADUMAN · 2017 to 2020
$102.6M
University of Arizona-Banner Health All of Us Research Program OT2OD026549 · OD · UNIVERSITY OF ARIZONA · PI MORENO, FRANCISCO A, REIMAN, ERIC MICHAEL · 2018 to 2023
$78.9M
California Precision Medicine Research Program ConsortiumOT2OD026552 · OD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ANTON-CULVER, HODA A, OHNO-MACHADO, LUCILA · 2018 to 2023
$73.4M
All of Us PennsylvaniaOT2OD026554 · OD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E, VISWESWARAN, SHYAM · 2018 to 2023
$72.1M
New York City Consortium for Precision MedicineOT2OD026556 · OD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BIER, LOUISE E, GHARAVI, ALI G · 2018 to 2023
$67.3M
SouthEast Enrollment Center (SEEC) OT2OD026551 · OD · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI CARRASQUILLO, OLVEEN, COLON, VIVIAN · 2018 to 2023
$62.8M
Southern All of Us NetworkOT2OD026548 · OD · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI FOUAD, MONA N., KORF, BRUCE R · 2018 to 2023
$60.5M
Illinois Precision Medicine Consortium OT2OD026557 · OD · NORTHWESTERN UNIVERSITY AT CHICAGO · PI AHSAN, HABIBUL, ARGOS, MARIA · 2018 to 2023
$60.5M
The New England Precision Medicine Consortium of the All of Us Research ProgramOT2OD026553 · OD · MASSACHUSETTS GENERAL HOSPITAL · PI CLARK, CHERYL RENEE, KARLSON, ELIZABETH W · 2018 to 2023
$58.8M
NHLBI NIH HHS R01 HL146588NHLBI NIH HHS R61 HL158941NIH HHS OT2 OD023205NIH HHS OT2 OD023206NIH HHS OT2 OD025276NIH HHS OT2 OD025277NIH HHS OT2 OD025315NIH HHS OT2 OD025337NIH HHS OT2 OD026548NIH HHS OT2 OD026549NIH HHS OT2 OD026550NIH HHS OT2 OD026551NIH HHS OT2 OD026552NIH HHS OT2 OD026553NIH HHS OT2 OD026554NIH HHS OT2 OD026555NIH HHS OT2 OD026556NIH HHS OT2 OD026557NIH HHS U24 OD023121NIH HHS U24 OD023163NIH HHS U24 OD023176NIH HHS U2C OD023196
6 · The paper itself

Abstract

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

Indexed as

Major Depressive DisorderPopulation HealthAdultAgedChronic DiseaseFemaleFitness TrackersHumansMaleMiddle AgedWalking

Identifiers

PMID36216933
PMCPMC9671804
OpenAlexW4304080209

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.