School-based Mindfulness Programs: Effect on Adolescent Anxiety
Notice bibliographique
Résumé
This project proposes to examine school-based mindfulness programs and their effect adolescent anxiety. In recent decades mindfulness and mindfulness-meditation have been reported to have positive impacts on physical, emotional, and psychological wellbeing. Whether these practices offer the same benefits to adolescents and to what degree is not well understood, but they may offer a possible solution to the growing number of teens experiencing anxiety. School-based Mindfulness Programs: Effect on Adolescent Anxiety Authors: Kelly Butler Affiliation: University of Ottawa Study Design Exploratory Study; Scoping Review Methods Description of essential elements 1. Following registration, search will be conducted for reviews matching selection criteria. 2. Reviews will be collected from electronic databases. 3. Sample size: The number of reviews included in this study will depends on how many reviews are relevant to the topic of interest. 4. The findings from available reviews will be described as they relate to evidence of efficacy of mindfulness as an intervention for adolescent anxiety. Inclusion criteria -Mindfulness based interventions -Participants are students with age range 13-19 -Anxiety levels (may be “stress”) are assessed before and after intervention -Intervention delivered in school setting -Primary research -Available in English Exclusion criteria -Interventions that have a mindfulness component, but are not strictly mindfulness meditation (yoga, martial arts, Cognitive Behavior Therapy, other types of meditation) -Intervention occurs outside school setting -Participants with pre-existing health issues or conditions Procedure This scoping review follows the Joanna Briggs Institute (JBI) updated guidance for the conduct of scoping reviews and will be reported in lined with Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (the PRISMA-ScR). Scoping review will be conducted by searching the following electronic literature databases: CINAHL, ERIC, MEDLINE, Scopus, and PsycInfo. The search strategy will combine the concepts of adolescents (adolescen*, youth, teen*, juvenile*, young adult, student*) plus anxiety (anxiety or stress or worry or anxious) plus mindfulness (meditation or mindfulness or mindbody) plus school (school or learning cent* or classroom). Data Extraction From each review, data extraction will include author, year, study design, location, inclusion/exclusion criteria, type of intervention, length of intervention, time span of intervention, study population, anxiety levels before and after intervention, diagnostic test used. Data from published reviews that fall within inclusion/exclusion guidelines will be used to create a summary describing effects of mindfulness programs in a school setting on adolescent anxiety. Analysis Descriptive analysis will be used to analyze the data. Findings will be shared in results. Answer the following final questions: Has data collection begun for this project? X No, data collection has not begun Yes, data collection is underway or complete If data collection has begun, have you looked at the data? N/A Yes No Other References American Psychiatric Association. 2013). Diagnostic and statistical manual of mental disorders. (5th ed.). Washington, DC. Arksey H, O'Malley L (2005) Scoping studies: towards a methodological framework. International journal of social research methodology 8: 19-32. Bishop, S. R., Lau, M., Shapiro, S., Carlson, L., Anderson, N. D., Carmody, J., Segal, Z.V., Abbey, S., Speca, M., Velting, D., Devins, G. (2004). Mindfulness: a proposed operational definition. Clinical Psychology: Science and Practice. (11)3. 230-241. Blum, H., Rutt, C., Nash, C., Joyce, V., Buonopane, R. (2019). Mindfulness meditation and anxiety in adolescents on an inpatient psychiatric unit. Journal of Health Care Chaplaincy. (0)1-19. Borquist-Conlon, D. S., Maynard, B.R., Brendel, K.E., Farina, A.S.J. (2019). Mindfulness-based interventions for youth with anxiety: A systematic review and meta-analysis. Research on Social Work Practice. (29)2. 195-205. Conference Board of Canada (2016 September). Unmet mental health care needs costing Canadian economy billions. Retrieved from https://www.conferenceboard.ca/press/newsrelease/16-09-01/unmet_mental_health_care_needs_costing_canadian_economy_billions.aspx Dray, J., Bowman, J., Campbell, E., Freund, M., Wolfenden, L., Hodder, R., McElwaine, K., Tremain, D., Bartlem, K., Bailey, J., Small, T., Palazzi, K., Oldmeadow, C., Wiggers, J. (2017). Systematic review of universal resilience-focused interventions targeting child and adolescent mental health in the school setting. American Academy of Child and Adolescent Psychiatry. (56)10. 813-824. Dumontheil, I. (2016). Adolescent brain development. Behavioural Sciences. (10) 39-44. Dunning, D.L., Griffiths, K., Kuyken, W., Crane, C., Foulkes, L., Parker, J., Dagleish, T. (2019). Research review: The effects of mindfulness-based interventions on cognition and mental health in children and adolescents- a meta-analysis of randomized controlled trials. The Journal of Child Psychology and Psychiatry. 60(3) 244-258. Erbe, R. Lohrmann, D. (2015). Mindfulness meditation of adolescent stress and well-being: a systematic review of the literature with implications for school health programs. The Health Educator. (47)2. 12-20. Leonard, J. (2018). What does anxiety feel like and how does it affect the body? Medical News Today. Retrieved from https://www.medicalnewstoday.com/articles/322510.php Lin, J.,Chadi, N., Shrier, L. (2019). Mindfulness-based intervetions for adolescent health. Current Opinion in Pediatrics. (31) 469-475. McEwen, Bruce S. (2005). Glucocorticoids, depression, and mood disorders: structural remodeling in the brain. Metabolism Clinical and Experimental. (1) 20-23. Mon, M., Tippawan, L., Kyaw-Min, H. (2016). Effectiveness of mindfulness intervention on psychological behaviors among adolescents with parental HIV infection: A group-randomized controlled trial. Asia Pacific Journal of Public Health. 28(8) 765-775. National Institute of Mental Health. (n.d.). Anxiety Disorders. Retrieved from https://www.nimh.nih.gov/health/topics/anxiety-disorders/index.shtml Saavedra, L.M., Silverman, W.K., Morgan-Lopez, A., Kurtines, W.M. (2010). Cognitive behavioral treatment for childhood anxiety disorders: long-term effects on anxiety and secondary disorders into adulthood. The Journal of Child Psychology and Psychiatry. 51:8. 924-934. Petterson, H., Olson, B. (2017). Effects of mindfulness-base interventions in high school and college athletes for reducing stress and injury and improving quality of life. Journal of Sport Rehabilitation. 26(6) 578-587. Reisner, S.L., Katz-Wise, S.L., Gordon, A.R., Cortiss, H., Austin, S.B. (2016). Social epidemiology of depression and anxiety by gender identity. Journal of Adolescent Health. 59(2). 203-208. Sibinga, E.M.S., Derrigan, D., Steward, M., Johnson, K., Magyari, T., Ellen, J.M. (2011). Mindfulness-based stress reduction for urban youth. The Journal of Alternative and Complementary Medicine. (17) 3. 213-218. Singh, S. K., Gorey, K. M., (2018). Relative effectiveness of mindfulness and cognitive behavioural interventions for anxiety disorders: meta-analytic review. Social work in mental health. (16) 2. 238-251. Smith, B.H., Esat, G., Kanojia, A. (2020). School-based yoga for managing stress and anxiety. Promoting Mind-Body Health in Schools: Interventions for Mental Health Professionals. 201-216.
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 | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,002 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 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 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 ».