Mindfulness-based skills training group for parents of obsessive-compulsive disorder-affected children: A caregiver-focused intervention
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: Parents of children with obsessive-compulsive disorder (OCD) report significant emotional and socio-occupational impacts. There is, however, currently insufficient support for these parents. This study examined a mindfulness-based intervention for parents of OCD-affected children, investigating its feasibility and impact on parental ability to tolerate their child's OCD-related distress, in addition to exploring potential indirect effects. MATERIALS AND METHODS: Parents of OCD-affected children (n = 39) completed an eight-week baseline observation period followed by eight, weekly manualized mindfulness-based intervention group sessions. Measures of parental tolerance of child distress, dispositional mindfulness, family accommodation, family functioning, and OCD symptom severity were collected. RESULTS: In comparison to the baseline observation period, parental tolerance of child distress and dispositional mindfulness significantly improved following mindfulness training. No other temporal differences were observed. Parents reported high satisfaction. CONCLUSION: Mindfulness-based skills training for parents of OCD-affected youth appears to be feasible and to significantly increase tolerance related to the child's distress. CLINICAL TRIAL REGISTRATION NUMBER: NCT03212703.
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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 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".