Evidence map›Paper›PMID 41840236›Full record

ArticleDiscover mental health2026

The many faces of athlete burnout in elite and amateur sport identified through cluster analysis.

Verónica Tutte-Vallarino, Estefanía Malán-Ernst, Regina Brandão, Cristina Reche-García, Francisco Ortín, Mario Reyes-Bossio, Virginia Chiminelli-Tomás, David Peris-Delcampo, Alejandro García-Mas

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.

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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

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

9 authors.

Verónica Tutte-VallarinoUniversidad Católica del Uruguay, Montevideo, Uruguay. vtutte@ucu.edu.uy.
Estefanía Malán-ErnstUniversidad Católica del Uruguay, Montevideo, Uruguay.
Regina BrandãoUniversidade São Judas Tadeu, São Paulo, Brazil.
Cristina Reche-GarcíaUniversidad Católica de Murcia (UCAM), Murcia, Spain.
Francisco OrtínUniversidad de Murcia, Murcia, Spain.
Mario Reyes-BossioUniversidad Peruana de Ciencias Aplicadas, Lima, Perú.
Virginia Chiminelli-TomásUniversidad Católica del Uruguay, Montevideo, Uruguay.
David Peris-DelcampoUniversitat de Valencia, Valencia, Spain.
Alejandro García-MasUniversitat de les Illes Balears, Palma, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Athlete burnout has traditionally been examined as a phenomenon mainly associated with high-performance sport; however, growing evidence suggests that it may also affect amateur athletes. This study aimed to analyze burnout in high-performance and amateur athletes, integrating gender differences and a person-centered approach through cluster analysis. A cross-sectional design was applied to 511 athletes (38.0% high-performance and 62.0% amateur) using the Revised Athlete Burnout Inventory (IBD-R). Descriptive and inferential analyses examined differences by competitive level and gender, while hierarchical and k-means cluster analyses identified burnout profiles. Results showed similar levels of emotional exhaustion and depersonalization across competitive levels, with specific differences in reduced personal accomplishment. Four burnout profiles were identified: Healthy, Reduced Accomplishment, Emotional Exhaustion, and Depersonalization-dominant burnout, differentially distributed by gender and competitive level. These findings indicate that burnout is a transversal phenomenon in sport and highlight the value of person-centered approaches for prevention and intervention across competitive contexts.

Indexed as

Amateur sportAthletesBurnoutCluster analysisElite sportReduced accomplishment

Identifiers

PMID41840236
PMCPMC13103141

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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 OpenQuestion graph.