Evidence map›Paper›PMID 42725036›Full record

ArticleInternational journal of clinical and health psychology : IJCHP

Integrating screening and clinical interviews to assess clinically relevant addictive exercise behaviour in athletes.

Maria Geisler, Alexandra Arnold, Oliver Stoll, Birgitta Schiller, Eva Wimmer, Marco Herbsleb, Feliberto de la Cruz, Andy Schumann, Karl-Jürgen Bär

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Article in International journal of clinical and health psychology : IJCHP. 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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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Maria GeislerDepartment of Psychosomatic Medicine and Psychotherapy, University Hospital Jena, Krautgasse 8, D-07743 Jena, Germany.
Alexandra ArnoldDepartment of Psychosomatic Medicine and Psychotherapy, University Hospital Jena, Krautgasse 8, D-07743 Jena, Germany.
Oliver StollMartin-Luther-University Halle-Wittenberg, Institute of Sports Science, Von-Seckendorff-Platz 2, D-06120 Halle (Saale) , Germany.
Birgitta SchillerInstitute for Qualitative Psychotherapy Research, Faculty of Psychotherapy Sciences, Sigmund Freud Private University Vienna, Vienna, Austria.
Eva WimmerInstitute for Qualitative Psychotherapy Research, Faculty of Psychotherapy Sciences, Sigmund Freud Private University Vienna, Vienna, Austria.
Marco HerbslebDepartment of Psychosomatic Medicine and Psychotherapy, University Hospital Jena, Krautgasse 8, D-07743 Jena, Germany.
Feliberto de la CruzDepartment of Psychosomatic Medicine and Psychotherapy, University Hospital Jena, Krautgasse 8, D-07743 Jena, Germany.
Andy SchumannDepartment of Psychosomatic Medicine and Psychotherapy, University Hospital Jena, Krautgasse 8, D-07743 Jena, Germany.
Karl-Jürgen BärDepartment of Psychosomatic Medicine and Psychotherapy, University Hospital Jena, Krautgasse 8, D-07743 Jena, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aims: Questionnaire-based tools such as the Exercise Dependence Scale (EDS) are widely used to identify athletes exhibiting dependence-like features, but it remains unclear how these classifications relate to clinically relevant addictive exercise behaviour. This study combined quantitative screening with semi-structured, study-specific clinical interviews to (1) examine the proportion of athletes showing high EDS scores who meet ICD-11 criteria for a disorder due to addictive behaviour (6C5Y), (2) characterize psychological and motivational differences between athletes meeting versus not meeting ICD-11-based criteria for clinically relevant addictive exercise behaviour, and (3) identify the most discriminative candidate features of this classification. Methods: A total of 342 endurance athletes (159 female, 183 male) completed an online survey including the EDS, life satisfaction, and motivational factors. Athletes exceeding the EDS cut-off (>77; n = 63) and consenting to re-contact were invited to semi-structured, study-specific clinical interviews based on ICD-11 criteria for disorders due to addictive behaviors and additionally completed the SCL-90-R; 34 athletes participated in the interview phase (attrition rate: 46.0%). Results: Among the 34 EDS-positive athletes who completed the clinical interview, 24 (70.6 %, 95 % CI: 52.5-84.9 %) met ICD-11-based criteria for clinically relevant addictive exercise behaviour. Compared to athletes not meeting these criteria, those meeting ICD-11-based criteria reported greater withdrawal-related symptoms, more comorbidities, lower life satisfaction, and higher weight-related exercise motivation, while training volume did not differ. In an exploratory LASSO model, withdrawal symptoms and past comorbidities emerged as preliminary candidate discriminative features of ICD-11-based classification status. Conclusions: High EDS scores may reflect elevated exercise dependence features in endurance athletes, whereas not all meet ICD-11 criteria for clinically relevant addictive exercise behaviour. These findings highlight the importance of withdrawal-related symptoms and comorbidities for differential assessment and support a multi-method approach to distinguish high involvement or dependence from clinically relevant addictive exercise behaviour. However, findings from the interview phase should be interpreted cautiously given the small sample size and exploratory nature of the analyses.

Indexed as

AthletesComorbidityExercise addictionExercise dependence scaleICD-11LASSO regression

Identifiers

PMID42725036
PMCPMC13559819

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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.