Using Music to Promote Hong Kong Young People’s Emotion Regulation and Reduce Their Mood Symptoms and Loneliness: Protocol for a Pilot Randomized Controlled Trial
Notice bibliographique
Résumé
BACKGROUND: Mental health needs in the community surged during the pandemic, with concerning reports of increased negative mood symptoms among youth. At the same time, preventive psychoeducational interventions were insufficient within frontline youth mental health services in Hong Kong, and research specifically addressing youth loneliness remained limited on an international scale. Given the association between loneliness and other mental health symptoms, psychoeducational programs that empower adolescents to cope with emotions may help address both the research gap and local demand. As such, Tuned In, a previously validated intervention program originally developed in Australia, was introduced to the local context. Cultural adaptations and an added focus on loneliness were incorporated into the project to enhance its acceptability and test its effectiveness. OBJECTIVE: This study aims to evaluate an adapted version of the Tuned In music-based psychoeducation program, designed to reduce loneliness, depression, and anxiety symptoms among young people in Hong Kong by enhancing their emotion regulation skills. METHODS: Participants aged 16-19 years will be randomly assigned to either the experimental or control group. The experimental group will receive an online, group-based psychoeducation program focused on emotion recognition and management, delivered weekly over 4 consecutive weeks. The intervention is grounded in Russell's emotion circumplex model and music psychology, and program content included: The 2D model and characteristics of emotions from different quadrants (session 1); happiness and loneliness (session 2); high-arousal and negative-valence emotions, for example, stress and anxiety (sessions 3); and anxiety, perfectionism, and a celebration of achievement (session 4). Both therapist- and participant-selected music will be used in the intervention to provide a rich repertoire for group discussion, psychoeducation, reflection, and the practice of social skills. The main outcome measures will be assessed using the Emotion Regulation Questionnaire, the Difficulties in Emotion Regulation Scale, the Depression Anxiety Stress Scale, and the De Jong Gierveld Loneliness Scale. Feedback on the project arrangement will be gathered through qualitative input. A mixed methods analysis will be conducted following data collection. RESULTS: The project was successfully funded in February 2023 by the Health and Medical Research Fund in Hong Kong and commenced in August 2023. As of September 16, 2024, a total of 316 completed questionnaires had been received through Qualtrics for screening purposes, with 89 participants deemed eligible for the program. The project is scheduled to conclude in August 2025, with results to be published thereafter. CONCLUSIONS: Participants are expected to show improvements in emotion regulation, along with reductions in mood symptoms and loneliness, following the intervention. TRIAL REGISTRATION: ClinicalTrials.gov NCT06147297; https://clinicaltrials.gov/study/NCT06147297. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/67764.
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 | 0,013 | 0,011 |
| Méta-épidémiologie (sens strict) | 0,004 | 0,002 |
| Méta-épidémiologie (sens large) | 0,010 | 0,004 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,003 | 0,003 |
| Communication savante | 0,003 | 0,002 |
| Science ouverte | 0,003 | 0,002 |
| Intégrité de la recherche | 0,005 | 0,007 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,058 | 0,007 |
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 ».