MYmind: a Concurrent Group-Based Mindfulness Intervention for Youth with Autism and Their Parents
Bibliographic record
Abstract
OBJECTIVES: The current study evaluated the use of MYmind, a concurrent mindfulness program in which youth with autism and their parents simultaneously receive group specific mindfulness training. Youth with autism can experience emotional and behavioral challenges, which are associated with parental stress. Mindfulness-based programs are emerging as a promising support for these challenges, for both children and parents. While two studies have documented the use of concurrent parent-child programs, neither involve control conditions. METHODS: Using a within-subject repeated measures design with a baseline component, 23 parent-child dyads were assessed on mindfulness, mental health, and youth emotion regulation and autism symptoms. Participants also rated their perceived improvement on a social validity questionnaire. RESULTS: There was improvement in youth autism symptoms, emotion regulation, and adaptive skills, and in parent reports of their own mindfulness following the program. There was also some indication of a waitlist effect for parent mental health, but not for other outcome variables. Participant feedback was mainly positive. CONCLUSIONS: MYmind has the potential to contribute to emotion regulation and adaptability in youth with autism, and mindfulness in parents, though more rigorous controlled trials are needed.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".