Mental health in elite sports. A continuum of strategies that athletic trainers can use to support competitive athletes with psychological issues: a scoping review
Notice bibliographique
Résumé
Introduction: Athletes are at high risk of experiencing psychological distress. It is unclear if professionals in charge of competitive athletes' physical and psychological wellbeing are adequately trained to identify and manage psychological distress, despite many athletic trainers (ATs) reporting having held a position where it was necessary to counsel student-athletes on personal issues. However, ATs have also reported having received insufficient training to support athletes in the face of psychological distress. Objective: The present scoping review aims to identify, in scientific literature, how ATs can improve the psychological support provided to competitive athletes. Methods: This scoping review was carried out using a six-step process in accordance with the PRISMA-ScR guideline. The initial search, based on specific keywords related to ATs, athletes, strategies and mental health, identified a total of 1,204 articles. The research was conducted across 8 databases (APA PsycINFO, SPORTDiscuss, Google Scholar, Social Science Research Network-SSRN and others). The initial search, based on specific keywords related to ATs, athletes, strategies and mental health, identified a total of 1,204 articles. After removing duplicates, abstracts and titles were screened in accordance with the inclusion and exclusion criteria. Included articles were published between 2010 and 2024, written in English, on athletes aged 8-25 years, from Western cultures, participating in sport within a sport organization and presenting strategies that could assist ATs in the management of athletes with mental difficulties. The search yielded 22 articles that were relevant to the study. Results: Results of retained articles were separated into four themes: (1) training; (2) prevention; (3) intervention strategies; and (4) referral. Prevention involves implementing a set of measures aimed at avoiding or reducing the number and severity of psychological distress. Training helps fill gaps in the understanding and application of psychological interventions in sport. Intervention strategies allow professionals to intervene based on meeting the fundamental psychological needs of athletes. Finally, as soon as signs of psychological distress are identified, it is important to refer the athlete to a mental health professional in order to provide adequate support to athletes. Discussion and conclusion: Based on the results, two themes are most often reported, such as prevention and intervention strategies. Future research should explore the long-term impacts of these interventions implemented by ATs on athletes' mental wellbeing.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,008 | 0,025 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,003 | 0,005 |
| Bibliométrie | 0,013 | 0,009 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,005 | 0,003 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,003 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».