Self-Help Treatment for Insomnia: a Randomized Controlled Trial
Why this work is in the frame
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Bibliographic record
Abstract
STUDY OBJECTIVES: Insomnia is a prevalent health complaint that often remains untreated. Several interventions are efficacious but they are not widely available. This study evaluated the efficacy of a self-help behavioral intervention for insomnia. DESIGN: The study used a 2 (conditions; self-help treatment, no treatment control) x 3 (assessments; pretreatment, posttreatment, 6-month follow-up) mixed factorial design. SETTING: This study was part of a larger epidemiologic study conducted with a randomly selected sample of 2001 adults of the province of Quebec in Canada. PARTICIPANTS: One-hundred ninety-two adults (n = 127 women, 65 men; mean age, 46 years) with insomnia, selected from a larger community-based epidemiologic sample, were randomly assigned to self-help treatment (n = 96) or no-treatment control (n = 96). INTERVENTIONS: The self-help intervention included 6 educational booklets mailed weekly to participants and providing information about insomnia, healthy sleep practices, and behavioral sleep scheduling and cognitive strategies. MEASUREMENTS AND RESULTS: Participants completed sleep diaries and questionnaires at pretreatment, posttreatment, and 6-month follow-up. Significant but modest improvements were obtained on subjective sleep parameters for treatment but not control participants. Treated participants averaged nightly gains of 21 minutes of sleep and a reduction of 20 minutes of wakefulness, with a corresponding increase of 4% in sleep efficiency. Improvements were also obtained on measures of insomnia severity (Insomnia Severity Index) and of sleep quality (Pittsburgh Sleep Quality Index), and those changes were maintained at follow-up. CONCLUSIONS: A self-help behavioral intervention was effective in alleviating a broad range of insomnia symptomatology in a community sample. Self-help may be a promising approach to make effective intervention more widely available.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 |
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 it