Evidence map›Paper›PMID 42740013›Full record

ArticleSensors (Basel, Switzerland)2026

Mobile Health (mHealth) Apps in Sport Training: A Scoping Review.

Junyan Liu, Yiwen Dong, Ian Brooks, Waifong Catherine Cheung, Vu Linh Nguyen, Yih-Kuen Jan

Abstract readScoping Review
In one paragraph

Article in Sensors (Basel, Switzerland), 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.

Junyan LiuDepartment of Health and Kinesiology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.ORCID 0009-0006-6805-1439
Yiwen DongDepartment of Industrial & Enterprise Systems Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.ORCID 0000-0002-7877-1783
Ian BrooksSchool of Information Science, University of Illinois at Urbana-Champaign, Champaign, IL 61820, USA.ORCID 0000-0002-3793-3635
Waifong Catherine CheungDoctor of Physical Therapy Program, Northern Illinois University, DeKalb, IL 60115, USA.ORCID 0000-0002-9286-9576
Vu Linh NguyenCollege of Engineering and Computer Science, VinUniversity, Hanoi 100000, Vietnam.
Yih-Kuen JanDepartment of Health and Kinesiology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.ORCID 0000-0001-7149-4034

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mobile health (mHealth) apps increasingly capture the physiological, biomechanical, and psychological variables involved in sport training, but the evidence remains fragmented across single-domain reviews, leaving practitioners without a consolidated basis for selecting and deploying these tools across the training process. This scoping review aimed to identify and characterize research on mHealth apps in sport training, focusing on their performance testing, training load and recovery monitoring, technical and skill development, injury screening and prevention, and athlete self-management. It also synthesized evidence regarding their applications, intended purposes, technical characteristics, and the evidence supporting their effectiveness. Five databases (PubMed, Scopus, Web of Science, SPORTDiscus, Embase) were searched from inception to July 2026 for journal articles reporting original empirical data on app research on the sport training process in athletes. Studies involving only the promotion of physical activity or lacking human-subject testing, including commercially available apps without supporting research on their effectiveness, were excluded. Findings were synthesized narratively, and methodological quality was appraised with the Mixed Methods Appraisal Tool. Of 9476 records identified, 111 studies met the inclusion criteria and were inductively classified into ten application categories: sport skill training (

Indexed as

Mobile ApplicationsSportsAthletesDigital HealthHumansTelemedicineathlete monitoringdigital healthinjury risk assessmentload managementsmartphone sensors

Identifiers

PMID42740013
PMCPMC13568394

What Socratic holds

Textmetadata
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 Socratic graph.