0362 Video-conference Delivery Of Cognitive Behavioral Therapy For Insomnia: Effects On Insomnia, Depression And Anxiety Symptoms
Bibliographic record
Abstract
A large body of clinical research demonstrates that cognitive behavioral therapy for insomnia (CBTi) is effective in reducing insomnia symptoms and can improve comorbid symptoms of anxiety and depression. Despite this, access to CBTi remains extremely limited. The current study examined the effects of a novel CBTi program (HALEO), designed to be readily accessible. It comprises five weekly 30-minute video-conference-enabled sessions with a therapist, supported by a digital platform. 82 participants (mean age = 46.02, SD = 11.06) with insomnia, screened for other untreated sleep disorders, completed the HALEO CBTi program. The efficacy of the HALEO CBTi program was measured by the change in the Insomnia Severity Index (ISI) scores. The Hospital Anxiety and Depression Scale (HADS) was used to measure changes in anxiety (HADS-A) and depression (HADS-D) symptoms. The ISI and HADS were filled out at the beginning of therapy (baseline) and just before the final therapy session (post-therapy). Data were analyzed with one-tailed Student paired t-tests. ISI scores were significantly lower post-therapy (M = 8.95, SD = 3.91) compared to baseline (M = 15.71 SD = 3.69; t(81) = 12.44) p<.001, Cohen’s d = 1.37). HADS-D scores were also significantly lower post-therapy (M = 2.91, SD = 2.68) versus baseline (M = 4.06, SD = 2.84; t(81) = 4.75) p<.001, d = 0.53). HADS-A scores were also significantly lower post-therapy (M = 6.30, SD = 0.35) versus baseline (M = 8.19 SD = 3.31; t(81) = 5.74) p<.001, d = 5.75). The results indicate that the HALEO CBTi program is effective in reducing symptoms of insomnia, as measured by the ISI, and yields a large effect size similar to that found in studies examining traditional face-to-face CBTi therapy. Furthermore, our findings indicate that the HALEO CBTi program significantly reduces depression and anxiety symptoms as measured by the HADS. Together, the findings suggest that effective, therapist-led CBTi can be made accessible via a video-conferencing digital platform. The next phase of research will involve randomized control trials. None
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.007 | 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".