Experiences of young adults affected by cancer within an 8-week yoga intervention delivered by videoconference: a qualitative interview study
Notice bibliographique
Résumé
Background: Yoga may reduce negative cancer-and treatment-related effects and help improve a range of outcomes, including flexibility, mindfulness, and quality of life among adults affected by cancer.Yet there is little evidence for the role of yoga among young adults (18-39 years) affected by cancer.Purpose: the purpose of this study was to explore the experiences of young adults affected by cancer in an 8-week yoga intervention delivered by videoconference.Methods: Young adults who were diagnosed with cancer between the ages of 18 and 39 years, at any stage of the cancer trajectory, who were living in canada, and who completed an 8-week yoga intervention were approached to complete a semi-structured interview.a social constructivist paradigm was adopted.interviews were transcribed verbatim and analyzed using reflexive thematic analysis.Results: twenty-eight young adults (Mean age = 34.67 5.11 years; n = 25 female) with varied cancer diagnoses participated.Participants' perspectives were represented across 6 themes: (1) i was juggling a number of challenges and changes throughout the yoga intervention; (2) i noticed some improvements in my mental and physical health; (3) i made time to discover new strategies to take care of myself; (4) i was able to see what my body is capable of; (5) i was held accountable and i appreciated that, and; (6) i was able to be around similar others in a safe (virtual) space.Conclusions: Findings suggest that an 8-week yoga intervention may offer some benefits for young adults affected by cancer.self-care, self-compassion, mindfulness, feelings of physical competence, establishing a routine, and being around similar others were viewed as important components of the intervention and may have contributed to the benefits experienced.Findings underscore the potential utility of yoga as a supportive care intervention for young adults affected by cancer. KEY MESSAGES1. Young adults affected by cancer described changed physical and mental health after an 8-week yoga intervention delivered by videoconference.2. taking time for oneself, practicing self-compassion and mindfulness, enhanced feelings of physical competence, and establishing a routine were important elements of the intervention.3. Young adults appreciated being around similar others (i.e., other young adults affected by cancer) and felt connected in this videoconference-based intervention.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,024 | 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 tête enseignante, 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 ».