What Do We Know About Student Mental Health in UK Higher Education?: A Scoping Review of Trends, Gaps, and Research Directions (Preprint)
Notice bibliographique
Résumé
BACKGROUND: There is growing concern about the mental health of students in higher education institutions (HEIs) across the United Kingdom. Increasingly diverse student populations, the legacy of the COVID-19 pandemic, and variations in policies and service provision across the 4 UK nations have highlighted the need for a comprehensive understanding of student mental health. Current literature remains fragmented, with limited synthesis comparing national contexts. This protocol outlines a scoping review to systematically map the evidence base, identify key research gaps, and inform future research priorities and interventions. OBJECTIVE: The primary aim is to identify and map existing research on student mental health in UK HEIs. Specific objectives include exploring how student mental health is defined and measured, identifying risk factors, assessing support systems and interventions, and highlighting gaps in research across England, Scotland, Wales, and Northern Ireland. METHODS: This scoping review will follow Joanna Briggs Institute methodology and be reported in line with PRISMA-ScR (Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews) guidelines. Studies will be eligible for inclusion if they (1) were conducted in the United Kingdom; (2) involved students aged 16 years and older enrolled in HEIs; (3) addressed mental health-related outcomes, definitions, or interventions; and (4) were published in English from 2005 onwards. Excluded materials include gray literature not identified during database searching. A comprehensive 3-step search strategy will be used. Initially, APA PsycInfo and MEDLINE (Ovid) will be searched, followed by a broader search across Scopus, Web of Science (Core Collection), Child and Adolescent Development Studies, and the Cochrane Library. Reference lists of the included studies will be screened for additional sources. All citations will be managed using Covidence, and study selection will involve title/abstract screening and full-text review by independent reviewers. Data extraction will include information on study design, population characteristics, mental health outcomes, measures used, interventions, and key findings. Data will be presented in tabular and narrative forms and, where appropriate, descriptive content analysis will be used. RESULTS: As of April 2025, preliminary searches and pilot screenings have been completed. The full database search and data charting phase will commence in June 2025. The final synthesis, analysis, and stakeholder consultation are scheduled between September and November 2025. The full review will be completed by December 2025, with dissemination activities planned through early 2026. CONCLUSIONS: This review will provide a comprehensive overview of student mental health research within UK HEIs. It will highlight the key national differences, emerging themes, and underresearched areas, supporting more targeted, evidence-informed policy and practice. Limitations include language and gray literature exclusions. Nonetheless, the findings are expected to make a timely and meaningful contribution to research and intervention strategies in UK higher education. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/65594.
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 | 0,050 | 0,166 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,002 |
| Méta-épidémiologie (sens large) | 0,007 | 0,006 |
| Bibliométrie | 0,042 | 0,043 |
| Études des sciences et des technologies | 0,002 | 0,002 |
| Communication savante | 0,008 | 0,011 |
| Science ouverte | 0,002 | 0,006 |
| Intégrité de la recherche | 0,004 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 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 ».