Effects of cognitive-behavioral therapy for insomnia during sedative-hypnotics withdrawal on sleep and cognition in older adults
Bibliographic record
Abstract
OBJECTIVES: Our objective was to assess the effect of cognitive-behavioral therapy for insomnia (CBTi) on subjective and objective sleep quality (including sleep spindles) and cognition during a sedative-hypnotics withdrawal program in older adults with insomnia disorder. METHODS: We performed a two-arm randomized controlled trial (RCT) of a sedative-hypnotic withdrawal plan alone (WPo group) or combined with CBTi (WP + CBTi group) in 47 older adults with insomnia disorder over a sixteen-week period. Our primary outcomes were change in self-reported insomnia severity (Insomnia Severity Index (ISI)), sleep efficiency (SE) from sleep diaries, and change in SE and spindle density from polysomnographic (PSG) recordings collected at baseline and at post-intervention (16 weeks). Secondary outcomes included other sleep changes from PSG, actigraphy and sleep diaries, sleep and mood questionnaires and neuropsychological assessments (manual dexterity, attention/concentration, verbal inhibition, visuo-spatial abilities). RESULTS: The withdrawal program was effective in achieving discontinuation and reducing insomnia severity, with similar success with and without CBTi. The combined intervention additionally improved subjective sleep quality and prevented the decrease in subjective sleep duration induced by sedative-hypnotic discontinuation. Neither intervention significantly impacted objective sleep architecture or cognitive performance. Furthermore, reduction in sleep spindle density was observed with combined CBTi and withdrawal, but not with withdrawal alone. CONCLUSIONS: Both withdrawal alone and sedative-hypnotic withdrawal combined with CBTi effectively facilitated discontinuation and reduced insomnia severity, with the combined intervention further enhancing subjective sleep quality and preserving sleep duration. Although neither approach significantly impacted objective sleep architecture or cognitive performance, the potential reduction in sleep spindle density linked to the combined intervention warrants further investigation.
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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) | 0.001 | 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 | 0.001 |
| 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".