Evidence map›Paper›PMID 42274845›Full record

ArticleDiscover mental health2026

Acceptance, needs and demands of e-mental health interventions in adolescent elite athletes.

Sheila Geiger, Sara Viehweger, Vanessa Thuy Mi Nguyen, Jochen Seitz, Gertraud Gradl-Dietsch, Thomas Muehlbauer, Georgios Paslakis, Eva-Maria Skoda, Martin Teufel, Alexander Bäuerle and 1 more

Abstract read
In one paragraph

Article in Discover mental health, 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

11 authors.

Sheila Geiger *Clinic for Psychosomatic Medicine and Psychotherapy, LVR-University Hospital Essen, University of Duisburg-Essen, Virchowstr. 174, 45147, Essen, Germany.
Sara Viehweger *Clinic for Psychosomatic Medicine and Psychotherapy, LVR-University Hospital Essen, University of Duisburg-Essen, Virchowstr. 174, 45147, Essen, Germany.
Vanessa Thuy Mi NguyenClinic for Psychosomatic Medicine and Psychotherapy, LVR-University Hospital Essen, University of Duisburg-Essen, Virchowstr. 174, 45147, Essen, Germany.
Jochen SeitzCenter for Translational Neuro- and Behavioral Sciences (C-TNBS), University of Duisburg-Essen, 45147, Essen, Germany.
Gertraud Gradl-DietschCenter for Translational Neuro- and Behavioral Sciences (C-TNBS), University of Duisburg-Essen, 45147, Essen, Germany.
Thomas MuehlbauerDivision of Movement and Training Sciences, Biomechanics of Sport, University of Duisburg-Essen, Essen, Germany.
Georgios PaslakisMedical Faculty, University Clinic for Psychosomatic Medicine and Psychotherapy, Campus East-Westphalia, Ruhr-University Bochum, Lübbecke, Germany.
Eva-Maria SkodaClinic for Psychosomatic Medicine and Psychotherapy, LVR-University Hospital Essen, University of Duisburg-Essen, Virchowstr. 174, 45147, Essen, Germany.
Martin TeufelClinic for Psychosomatic Medicine and Psychotherapy, LVR-University Hospital Essen, University of Duisburg-Essen, Virchowstr. 174, 45147, Essen, Germany.
Alexander BäuerleClinic for Psychosomatic Medicine and Psychotherapy, LVR-University Hospital Essen, University of Duisburg-Essen, Virchowstr. 174, 45147, Essen, Germany.
Anna Julia Esser-SeraphinClinic for Psychosomatic Medicine and Psychotherapy, LVR-University Hospital Essen, University of Duisburg-Essen, Virchowstr. 174, 45147, Essen, Germany. anna.esser-seraphin@uni-due.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundElite sports place high psychological and physical demands on adolescent elite athletes, increasing the risk for mental health problems. E-mental health interventions may offer flexible and low-threshold support. This study investigated adolescent elite athletes' acceptance of e-mental health interventions, identified predictors of acceptance, and explored their specific needs and demands.

methodsData from N = 217 adolescent elite athletes (age range: 14-17 years) participating in a web-based survey (March 2022-March 2023) were analyzed. Frequencies for preferred program features and delivery modes were calculated. Acceptance and its predictors were examined using an extended Unified Theory of Acceptance and Use of Technology (UTAUT) model. Group comparisons (t-tests, ANOVAs) and hierarchical regression analyses were conducted.

resultsOverall acceptance of e-mental health interventions was moderate. Female athletes and those in individual sports indicated higher acceptance than male and team-sport athletes. Gender (β = 0.097, p = .017), the UTAUT predictors performance expectancy (β = 0.458, p < .001), effort expectancy (β = 0.309, p < .001), and social influence (β = 0.152, p = .015) significantly explained variance in acceptance in adolescent elite athletes, whereas sport type, depression-, anxiety-, and distress symptoms, internet anxiety, digital confidence, and -overload were not significant predictors. Preferred interventions were customizable, delivered via smartphone app, and completed in 10-20-minutes sessions.

conclusionsFindings highlight the need for user-centered, flexible e-mental health interventions tailored to adolescent elite athletes. Targeting key acceptance drivers and preferred design features may support sustained engagement and inform indicated prevention strategies in this population.

Indexed as

Digital healtheHealthMental healthSportsUTAUTYouth

Identifiers

PMID42274845
PMCPMC13260566

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.