Evidence map›Paper›PMID 42638731›Full record

ArticleFrontiers in sports and active living2026

Predictors of long-term resistance exercise adherence: evidence from a large cohort of mobile app users of various experience levels.

Federica Conti, Thiago Marzagão, Andrew J Galpin, Brad J Schoenfeld

Abstract read
In one paragraph

Article in Frontiers in sports and active living, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

4 authors.

Federica ContiHuman Performance Center, Parker University, Dallas, TX, United States.
Thiago MarzagãoFitbod Inc., San Francisco, CA, United States.
Andrew J GalpinHuman Performance Center, Parker University, Dallas, TX, United States.
Brad J SchoenfeldDepartment of Exercise Science and Recreation, Lehman College, City University of New York, New York, NY, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Digital fitness applications offer unprecedented access to structured training programs, yet the behavioral factors that predict sustained engagement in real-world settings remain incompletely understood. Methods: This observational study analyzed data from 389,481 adult digital fitness app users (mean age: 34.7 ± 9.9) of various experience levels followed for twelve months from their first recorded workout. Long-term adherence was defined as completing at least one workout per week, allowing up to six missed weeks. Adherence trajectories were examined, along with associations between early training behaviors (training frequency, workout duration, exercise composition, equipment diversity), demographic factors, and time to dropout. Effect modifications by sex, workout duration, and training experience were also investigated. Results: Adherence declined steadily over time, with 10.1% of beginner users remaining adherent at 12 months (i.e., 52 weeks). The median dropout time was 19 weeks. Higher sustained participation was observed in older vs. younger (51+: 13.3%; 18-40: 8.4%), male vs. female (M: 11.4%; F: 7.9%), and more experienced users (intermediate: 18.3%; advanced: 25.8%). Training consistency during the first 28 days was the strongest predictor of adherence and exhibited a protective association that attenuated over time. Greater diversity in equipment use and higher emphasis on resistance exercise were also associated with lower dropout risk. Longer workout duration was associated with improved adherence among users who trained more frequently, particularly early in follow-up. Conclusions: Early consistency and structured training behaviors were strongly associated with long-term app-recorded exercise adherence among beginners, with relatively modest differences based on age and sex. These findings suggest that frequent training sessions and engagement with resistance-based exercise during the initial stages of exercise adoption may be relevant behavioral correlates of sustained engagement.

Indexed as

behavior changedigital healthexercise adherencelifestyle and behaviorphysical activity

Identifiers

PMID42638731
PMCPMC13500638

What Socratic holds

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Registered trials

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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 Socratic graph.