Imagery Rehearsal Therapy for Frequent Nightmares in Children
Bibliographic record
Abstract
This study examined the applicability of imagery rehearsal therapy (IRT) to children with frequent nightmares. Eleven boys and 9 girls aged 9 to 11, with moderate to severe primary nightmares (1 or more per week for 6 months) and without posttraumatic stress disorder, were randomly divided into an imagery rehearsal treatment group (n = 9) or a waiting-list (n = 11) group. ANCOVA with repeated measures revealed that, following a baseline period, IRT reduced the frequency of nightmares (p < .04; eta(2) = 0.22) in the treated group compared to the waiting-list group. This reduction was maintained over a 9-month follow-up. The effects of IRT on post-nightmare state distress could not be assessed due to low nightmare incidences. However, retrospective trait nightmare distress was not significantly reduced. Future research is needed to validate this simple approach for nightmare reduction and to evaluate its potential for the reduction of the associated nightmare distress.
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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) | 0.001 | 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".