Self-Efficacy and Adherence to Cognitive-Behavioral Treatment of Insomnia
Bibliographic record
Abstract
This study describes a self-efficacy (SE) scale and examines its usefulness in predicting adherence to cognitive-behavioral therapy (CBT) of insomnia. The SE scale, which included three subscales (global, task-related, and self-regulation), was administered to 39 patients receiving CBT for primary insomnia. Participants'daily sleep diaries were used to estimate their adherence to treatment. The results showed that the SE scale has adequate psychometric properties. Treatment adherence increased from Week 2 to Week 7 and decreased during the week following the last therapy session. In general, the global self-efficacy measure was more strongly associated with adherence during the first week of treatment, whereas the task-related efficacy was more strongly associated with adherence behaviors from Weeks 4 to 8. These findings suggest that self-efficacy perceptions are useful in predicting adherence to CBT of insomnia.
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How this classification was reachedexpand
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) | 0.000 | 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 teacher head, 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".