Mindfulness Virtual Community for Student’s Mental Health: A Randomized Control Trial (Preprint)
Notice bibliographique
Résumé
BACKGROUND The rising prevalence of mental health problems in university students may be overwhelming traditional university mental health services. Given the demonstrated anxiolytic and antidepressant benefits of mindfulness, we developed an eight-week online Mindfulness Virtual Community (MVC) intervention. Twelve psycho-educational videos on topics students pre-identified as stressful, prepared the trial participants for subsequent videos that guided them in 10 minutes of topically applied mindfulness practice. All video content was informed by Cognitive Behavior Therapy (CBT) constructs. Optional peer-to-peer text-based discussion and weekly live chat sessions were monitored and led by a mental health professional. OBJECTIVE To investigate the efficacy of an online MVC intervention in reducing symptoms of depression, anxiety and stress (primary outcomes) among undergraduate students in Toronto, Canada. The secondary outcomes included quality of life and life satisfaction. METHODS Recruitment for the three-arm randomized trial was undertaken with flyers, university-based listserv announcements, and postings associated with university courses where instructors granted credit for participation. Consenting students (n=119) were randomized to a wait list control group (WLC) or to a full MVC intervention (F-MVC) or to a partial MVC intervention (P-MVC) (which used videos only) (n=40, n=40, n=39). Participants were informed of allocation after consenting. The baseline (T1) and additional assessment sessions at 4 weeks (T2) and 8 weeks (T3) included the Patient Health Questionnaire-9, Beck Anxiety Inventory and Perceived Stress Scale. Analyses employed Generalized Estimation Equation (GEE) methods with AR(1) covariance structures and were adjusted for possible confounding variables (i.e. gender, age, country of birth, paid work, unpaid work, vigorous physical activities, and self-rated health). RESULTS Of the 113 students who provided baseline data, 28 males (24.8%) and 85 females (75.2%) reported a mean age of 24.8 years and were mostly Canadian-born (59.3%). Participants in F-MVC (n=39), P-MVC (n=35) and WLC (n=39) groups were similar in socio-demographic characteristics at baseline. There were no significant between-group differences on any key outcome variable at baseline. At T3 follow-up, per adjusted comparisons, there were statistically significant reductions in depression scores for F-MVC (score change -3.36 points, p=0.001) and P-MVC (score change -3.12, p=0.008) when compared to WLC. At T3 there was statistically significant reduction in anxiety scores only for P-MVC (score change -5.59, p=0.01) when compared to WLC. There was also statistically significant reduction in scores for perceived stress (score change 2.1, p =0.04) but only for P-MVC compared to WLC. No statistically significant changes were found for the quality of life and life satisfaction for F-MVC or P-MVC versus WLC. CONCLUSIONS Internet-based mindfulness-CBT-based interventions, such as F-MVC and P-MVC, can result in significant reductions in depression, anxiety and stress in a student population. Such low-cost interventions can substitute for or supplement traditional, office-based counseling services. CLINICALTRIAL https://doi.org/10.1186/ISRCTN92827275
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 | 0,002 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,002 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,002 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,014 | 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 ».