218. A SINGLE YOGA SESSION FOR ANXIETY AND STRESS IN ADULTS WITH OR WITHOUT MENTAL ILLNESSES: A SCOPING REVIEW
Notice bibliographique
Résumé
Abstract Background Yoga, a widely practiced mind-body exercise, has demonstrated significant benefits for anxiety, stress, and depression in both healthy adults and those with mental illnesses. While brief yoga sessions may appeal to individuals seeking shorter interventions, a comprehensive evaluation of single-session yoga interventions remains limited. Aims & Objectives This scoping review aims to 1) map clinical trials investigating single yoga interventions for anxiety and stress reduction and 2) identify evidence gaps regarding the effects of single yoga sessions on anxiety and stress in healthy adults and patients with mental illnesses. Method A systematic search of multiple bibliographic databases (MEDLINE, EMBASE, PsycINFO, CINAHL, and the Cochrane Central Register of Controlled Trials) was conducted using keywords such as "yoga," "single session," "anxiety," and "stress." Studies evaluating the physiological and psychological effects of single yoga sessions on anxiety and stress in healthy adults or patients with mental illnesses were included. Data on session types, study settings, participant characteristics, measurements, and findings were synthesized. Results Of 3024 initial records, 30 studies were included in the qualitative synthesis: 25 studies focused on healthy adults and five studies targeted patients with mental illnesses, involving 1548 participants (1215 healthy adults and 333 patients). Most studies were conducted in India (36.7%) and the U.S.A. (36.7%), primarily targeting younger participants. Sessions lasted 30–60 minutes and mainly involved Hatha yoga or breathing exercises. In studies involving patients with mental illnesses (generalized anxiety disorder, major depressive disorder and schizophrenia), yoga session was integrated into standard clinical treatments. Three studies (75%) reported significant reductions in anxiety post-session, particularly those using breathing exercises and asanas. Two studies (66.7%) also observed reductions in stress through combinations of breathing exercises, asanas, and meditation or mindfulness. Interventions for patients with mental illnesses tended to be shorter and less intensive than those for healthy adults. For both populations, Hatha yoga was the most common approach, and sessions exceeding 30 minutes effectively reduced anxiety and stress. Single-session interventions, particularly those supervised by medical or allied health staff or conducted in group settings, were found feasible for individuals over 30 years of age in both inpatient and outpatient clinical settings. Discussion & Conclusions This scoping review highlights the potential of single yoga sessions to alleviate anxiety and stress in both healthy adults and patients with mental illnesses. Hatha yoga sessions lasting more than 30 minutes may complement clinical treatments for mental health conditions. Shorter, group-based sessions supervised by medical staff appear especially practical for patients with mental illnesses. However, this scoping review has limitations. It relied solely on published data, excluding unpublished studies, and did not consider the influence of cultural background, race, or nationality. Moreover, as a scoping review, it does not quantitatively assess the effectiveness of single yoga sessions. Future systematic reviews and meta-analyses are necessary to address these gaps. Further research should identify the most effective types of single-session yoga interventions for patients with mental illnesses and establish clinical guidelines for their application.
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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 | 0,007 | 0,035 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,006 | 0,006 |
| Bibliométrie | 0,014 | 0,012 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,004 | 0,004 |
| Science ouverte | 0,002 | 0,002 |
| Intégrité de la recherche | 0,003 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,008 | 0,001 |
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 ».