School-based Mindfulness Programs: Effect on Adolescent Anxiety
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".