A Pilot Randomized Controlled Trial of Cognitive-Behavioral Therapy for Insomnia in Adolescents With Persistent Postconcussion Symptoms
Bibliographic record
Abstract
OBJECTIVE: Cognitive-behavioral therapy for insomnia (CBT-I) is an effective insomnia treatment but has yet to be applied to adolescents with sleep disruption following concussion. This pilot study evaluated CBT-I to improve insomnia in adolescents with protracted concussion recovery. SETTING: Tertiary pediatric hospital. PARTICIPANTS: Participants (N = 24) were 12 to 18 years old (M = 15.0, SD = 1.4), 15.1 weeks (SD = 9.2) postinjury, and presenting with sleep disruption and persistent postconcussion symptoms. DESIGN: A single-blind, parallel-group randomized controlled trial (RCT) design comparing 6 weeks of CBT-I and a treatment-as-usual control group. Outcomes were measured before treatment, at treatment completion, and 4 weeks after completion. MAIN MEASURES: Primary outcome was Insomnia Severity Index. Secondary outcomes included Pittsburgh Sleep Quality Index, Dysfunctional Beliefs and Attitudes about Sleep Scale, 7-night sleep diary, PROMIS Depression, PROMIS Anxiety, and Health and Behavior Inventory. RESULTS: Adolescents who received CBT-I demonstrated large and clinically significant improvements in insomnia ratings at posttreatment that were maintained at follow-up. They also reported improved sleep quality, fewer dysfunctional beliefs about sleep, better sleep efficiency, shorter sleep-onset latency, and longer sleep time compared with those with treatment as usual. There was also a modest reduction in postconcussion symptoms. CONCLUSION: In this pilot RCT, 6 weeks of CBT-I produced significant improvement in sleep in adolescents with persistent postconcussion symptoms. A larger trial 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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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".