Mindfulness-based Intervention in Elementary School Students With Anxiety and Depression: A Series of n-of-1 Trials on Effects and Feasibility
Bibliographic record
Abstract
Mindfulness-based interventions constitute a promising option to address anxiety and depression in elementary school students. This study evaluated the effect of a mindfulness-based intervention on anxiety and depression in elementary school students with a diagnosis of anxiety or depression disorder. A single-subject experimental A-B-A design was used. Participants were three elementary school students from grades three and four, along with their teacher. Anxiety and depression were measured on 10 occasions at baseline, during the intervention, and at follow-up. Primary hypotheses were tested using a univariate single case multilevel modeling strategy and visual analysis. Following intervention, 2 participants reported improvements on anxiety and depression, while their teachers reported deteriorating scores on these variables. Results from this n-of-1 trial design is consistent with other work suggesting caution with regard to the overall impact and efficacy of mindfulness-based interventions as a universal treatment option for youth. Future research is warranted.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".