Evidence map›Paper›PMID 41946734›Full record

ArticleNature communications2026

Daily steps offset risks of sedentary behavior in the All of Us research program.

Neil S Zheng, Shi Huang, Jeffrey Annis, Hiral Master, Kelsie M Full, Evan L Brittain

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Neil S ZhengBrigham and Women's Hospital, Boston, MA, USA.
Shi HuangDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA.
Jeffrey AnnisVanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA.
Hiral MasterVanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA.
Kelsie M FullDepartment of Medicine, Division of Epidemiology, Vanderbilt University Medical Center, Nashville, TN, USA.
Evan L BrittainVanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA. evan.brittain@vumc.org.ORCID http://orcid.org/0000-0001-5843-3392

Funding

Impact of Physical Activity, Sleep, and Genetic Background on Cardiovascular Risk in the All of Us ProgramR21HL172038 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BRITTAIN, EVAN L, RUDERFER, DOUGLAS · 2023 to 2024
$481k
FDA HHS R01 FD007627NHLBI NIH HHS R21 HL172038U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI) R61/R33 HL158941
6 · The paper itself

Abstract

Sedentary behavior is associated with increased mortality and chronic diseases, yet it remains unclear whether higher daily step counts can mitigate these risks. In this study, we analyzed longitudinal sedentary and step data from Fitbit devices in the All of Us Research Program to examine incident diagnoses of chronic conditions. We show that greater sedentary time was associated with higher risk of obesity, diabetes mellitus, hypertension, coronary artery disease, heart failure, chronic kidney disease, metabolic dysfunction-associated steatotic liver disease, chronic obstructive pulmonary disease, major depressive disorder, sleep apnea, and atrial fibrillation. Increasing daily steps offset the excess risk of high sedentary time (14 vs. 8 hours/day) for several conditions, with the additional steps required ranging from 1700 to 5500 per day. However, no step count fully offset sedentary risks for coronary artery disease or heart failure. These findings support personalized, behavior-based recommendations that consider both sedentary behavior and daily steps.

Indexed as

Sedentary BehaviorWalkingChronic DiseaseCoronary Artery DiseaseFemaleHumansLongitudinal StudiesMaleObesityRisk FactorsUnited States

Identifiers

PMID41946734
PMCPMC13234009

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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.