Mental Health Benefits of Listening to Music During COVID-19 Quarantine: Cross-Sectional Study
Notice bibliographique
Résumé
Background: COVID-19 has posed a significant global threat to public health due to its high contagion risk and lack of effective treatment. While quarantine measures have been crucial in controlling the virus' spread, they have also contributed to negative impacts on individuals' mental health. Music listening has emerged as a potential coping mechanism, yet it remains unclear whether mental well-being varies across music preferences. Objective: This study examined individuals' music-listening preferences in the context of COVID-19 quarantine and assessed the mediation pathways linking 5 types of music to mental health levels, mediated by perceived social connectedness as well as sense of security. Methods: A web-based survey was conducted among people with quarantine experience in September 2022, in mainland China. A total of 712 valid questionnaires were returned and 596 samples were finally included in our study for mediation analysis. Results: The results revealed that the vast majority (596/623, 96%) of respondents had music-listening experiences during the COVID-19 quarantine, with pop music emerging as the most popular preference among respondents, while quyi was the least listened-to genre. Additionally, listening to music across 5 different genres appeared as a significant parameter indirectly linked to mental health through perceived social connectedness. Specifically, engaging with quyi was associated with higher levels of perceived social connectedness and sense of security, which in turn correlated with improved mental well-being. Conversely, individuals listening to jazz reported lower social connectedness and sense of security, which was subsequently linked to increased mental health problems. The potential reasons for these findings and implications are discussed. Conclusions: This study significantly contributes to the understanding of the mechanisms behind music-listening preferences in stressful environments. Specifically, our findings highlight the mediating roles of perceived social connectedness and sense of security in the relationship between music preferences and mental health outcomes during the quarantine period. These insights provide valuable guidance for developing interventions that use music to enhance mental health, thereby broadening the scope of studies on environmental stimuli and their impact on mental well-being.
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Comment cette classification a été obtenuedéplier
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 | 0,004 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| 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 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 ».