The Role of Mental Health Stigma in University Students’ Satisfaction With Web-Based Stress Management Resources: Intervention Study
Notice bibliographique
Résumé
BACKGROUND: University students frequently report elevated levels of stress and mental health difficulties. Thus, the need to build coping capacity on university campuses has been highlighted as critical to mitigating the negative effects of prolonged stress and distress among students. Since the COVID-19 pandemic, web-based stress management resources such as infographics and web-based workshops have been central to supporting university students' mental health and well-being. However, there is a lack of research on students' satisfaction with and uptake of these approaches. Furthermore, mental health stigma has been suggested to have not only fueled the emergence of these web-based approaches to stress management but may also influence students' help-seeking behaviors and their satisfaction with and uptake of these resources. OBJECTIVE: This study explored potential differences in students' satisfaction and strategy use in response to an interactive infographic (an emerging resource delivery modality) presenting stress management strategies and a web-based workshop (a more common modality) presenting identical strategies. This study also examined the relative contribution of students' strategy use and family-based mental health stigma in predicting their sustained satisfaction with the 2 web-based stress management approaches. METHODS: University students (N=113; mean age 20.93, SD 1.53 years; 100/113, 88.5% women) completed our web-based self-report measure of family-based mental health stigma at baseline and were randomly assigned to either independently review an interactive infographic (n=60) or attend a synchronous web-based workshop (n=53). All participants reported their satisfaction with their assigned modality at postintervention (T1) and follow-up (T2) and their strategy use at T2. RESULTS: Interestingly, a 2-way mixed ANOVA revealed no significant group × time interaction or main effect of group on satisfaction. However, there was a significant decrease in satisfaction from T1 to T2, despite relatively high levels of satisfaction being reported at both time points. In addition, a 1-way ANOVA revealed no significant difference in strategy use between groups. Results from a hierarchical multiple regression revealed that students' strategy use positively predicted T2 satisfaction in both groups. However, only in the web-based workshop group did family-based mental health stigma predict T2 satisfaction over and above strategy use. CONCLUSIONS: While both approaches were highly satisfactory over time, findings highlight the potential utility of interactive infographics since they are less resource-intensive than web-based workshops and students' satisfaction with them is not impacted by family-based mental health stigma. Moreover, although numerous intervention studies measure satisfaction at a single time point, this study highlights the need for tracking satisfaction over time following intervention delivery. These findings have implications for student service units in the higher education context, emphasizing the need to consider student perceptions of family-based mental health stigma and preferences regarding delivery format when designing programming aimed at bolstering students' coping capacity.
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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 | 0,002 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 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 ».