Evidence map›Paper›PMID 36458881›Full record

ArticleThe Journal of clinical endocrinology and metabolism2023

Association of Longitudinal Activity Measures and Diabetes Risk: An Analysis From the National Institutes of Health All of Us Research Program.

Andrew S Perry, Jeffrey S Annis, Hiral Master, Matthew Nayor, Andrew Hughes, Aymone Kouame, Karthik Natarajan, Kayla Marginean, Venkatesh Murthy, Dan M Roden and 3 more

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of clinical endocrinology and metabolism, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.2field-weighted citation impact, top 11% 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

19 citing papers in PubMed, 22 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 5 institutions in 1 country.

Andrew S PerryVanderbilt Translational and Clinical Cardiovascular Research Center, Vanderbilt University School of Medicine, Nashville, TN 37203, USA.ORCID 0000-0003-3342-6158
Jeffrey S AnnisVanderbilt Institute for Clinical and Translational Research, Vanderbilt University School of Medicine, Nashville, TN 37203, USA.
Hiral MasterVanderbilt Institute for Clinical and Translational Research, Vanderbilt University School of Medicine, Nashville, TN 37203, USA.ORCID 0000-0003-0019-3087
Matthew NayorSections of Cardiovascular Medicine and Preventive Medicine and Epidemiology, Department of Medicine, Boston University School of Medicine, Boston, MA 02118, USA.ORCID 0000-0002-6993-9396
Andrew HughesDepartment of Medicine, Vanderbilt University Medical Center, Nashville, TN 37203, USA.ORCID 0000-0002-9592-5916
Aymone KouameVanderbilt Institute for Clinical and Translational Research, Vanderbilt University School of Medicine, Nashville, TN 37203, USA.
Karthik NatarajanDepartment of Biomedical Informatics, Columbia University, New York, NY 10032, USA.ORCID 0000-0002-9066-9431
Kayla MargineanVanderbilt Institute for Clinical and Translational Research, Vanderbilt University School of Medicine, Nashville, TN 37203, USA.
Venkatesh MurthyDepartment of Medicine and Radiology, University of Michigan, Ann Arbor, MI 48109, USA.ORCID 0000-0002-7901-1321
Dan M RodenDepartment of Medicine, Vanderbilt University Medical Center, Nashville, TN 37203, USA.ORCID 0000-0002-6302-0389
Paul A HarrisVanderbilt Institute for Clinical and Translational Research, Vanderbilt University School of Medicine, Nashville, TN 37203, USA.ORCID 0000-0002-1744-2011
Ravi ShahVanderbilt Translational and Clinical Cardiovascular Research Center, Vanderbilt University School of Medicine, Nashville, TN 37203, USA.ORCID 0000-0002-4471-7156
Evan L BrittainVanderbilt Translational and Clinical Cardiovascular Research Center, Vanderbilt University School of Medicine, Nashville, TN 37203, USA.ORCID 0000-0001-5843-3392
Vanderbilt University · USVanderbilt University Medical Center · USBoston University · USColumbia University · USUniversity of Michigan · US

Funding

Proteomic Profiling of Precise Exercise Pathophenotypes Across the HFpEF SpectrumR01HL131029 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI Gregory Dyer Lewis, Matthew G. Nayor · 2016 to 2026
$7.7M
Medical Scientist Training ProgramT32GM152284 · NIGMS · VANDERBILT UNIVERSITY · PI Christopher S. Williams · 2024 to 2026
$4.8M
Effect of PDE5 Inhibition on Adipose Metabolism in HumansR01DK124845 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BRITTAIN, EVAN L, DAMON, BRUCE M. · 2021 to 2025
$3.4M
Clinical, Genetic, and Proteomic Risk Factors for Pulmonary Hypertension in Heart FailureR01HL146588 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BRITTAIN, EVAN L, FREIBERG, MATTHEW S · 2019 to 2022
$3.4M
Metabolic Responses to an Oral Mixed Meal Tolerance Test: Intra-individual changes, correlates, and prognostic significanceR01HL156975 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI NAYOR, MATTHEW G. · 2021 to 2025
$3.3M
Vanderbilt Stimulating Access to Research in Residency (V-StARR)R38HL167237 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Michael R. DeBaun, Christopher S. Williams · 2023 to 2026
$1.8M
Metabolic Signatures of Impaired Cardiorespiratory Fitness: Correlates, Prognostic Significance and Modulation with Exercise TrainingK23HL138260 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI NAYOR, MATTHEW G. · 2017 to 2021
$998k
The MObile Health InterVEntion in Pulmonary Arterial Hypertension (MOVE PAH) StudyR61HL158941 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BRITTAIN, EVAN L · 2022 to 2022
$773k
NHLBI NIH HHS K23 HL138260NHLBI NIH HHS R01 HL131029NHLBI NIH HHS R01 HL146588NHLBI NIH HHS R01 HL156975NHLBI NIH HHS R38 HL167237NHLBI NIH HHS R61 HL158941NIDDK NIH HHS R01 DK124845NIGMS NIH HHS T32 GM152284
6 · The paper itself

Abstract

contextPrior studies of the relationship between physical activity and incident type 2 diabetes mellitus (T2DM) relied primarily on questionnaires at a single time point.

objectiveWe sought to investigate the relationship between physical activity and incident T2DM with an innovative approach using data from commercial wearable devices linked to electronic health records in a real-world population.

methodsUsing All of Us participants' accelerometer data from their personal Fitbit devices, we used a time-varying Cox proportional hazards models with repeated measures of physical activity for the outcome of incident T2DM. We evaluated for effect modification with age, sex, body mass index (BMI), and sedentary time using multiplicative interaction terms.

resultsFrom 5677 participants in the All of Us Research Program (median age 51 years; 74% female; 89% White), there were 97 (2%) cases of incident T2DM over a median follow-up period of 3.8 years between 2010 to 2021. In models adjusted for age, sex, and race, the hazard of incident diabetes was reduced by 44% (95% CI, 15%-63%; P = 0.01) when comparing those with an average daily step count of 10 700 to those with 6000. Similar benefits were seen comparing groups based on average duration of various intensities of activity (eg, lightly active, fairly active, very active). There was no evidence for effect modification by age, sex, BMI, or sedentary time.

conclusionGreater time in any type of physical activity intensity was associated with lower risk of T2DM irrespective of age, sex, BMI, or sedentary time.

Indexed as

Diabetes Mellitus, Type 2Population HealthBody Mass IndexFemaleHumansIncidenceMaleMiddle AgedNational Institutes of Health (U.S.)Risk FactorsUnited Statesactivity monitoringdiabetesphysical activityrisk factors

Identifiers

PMID36458881
PMCPMC10306083
OpenAlexW4310595908

What OpenQuestion holds

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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.