0827 Effect of virtual cognitive behavioral therapy for insomnia on perceived cognitive functioning among cancer survivors
Bibliographic record
Abstract
Abstract Introduction Comorbid insomnia and perceived cognitive impairments (PCI) affect up to 26% of individuals diagnosed with cancer. Given the association between sleep and cognition, and the lack of interventions to improve PCI, the present study examined the impact of cognitive behavioral therapy for insomnia (CBT-I) on PCI among cancer survivors with insomnia disorder and cognitive complaints (clinicaltrials.gov:NCT04026048). Methods Cancer survivors (N=122) with insomnia and PCI were randomized to 7 weekly virtual CBT-I treatment sessions (n=56) or waitlist control (WLC: n=66). Participants completed the Insomnia Severity Index and the Functional Assessment of Cancer Therapy – Cognitive Function upon entering the study (baseline; T0), and then again at 4 (T1), and 8 (T2) weeks. A series of 2 (treatment group: CBT-I and WLC) by 3 (time: T0, T1, T2) mixed ANOVAs were performed to assess changes in insomnia symptoms, PCI, perceived cognitive abilities (PCA), and impact of cognitive function on quality of life (QOL). Results Participants were, on average, aged 60 years, had 16 years of education, and 79% were female. Breast cancer was the most reported cancer type (46%). No significant differences were observed between groups at T0 for demographic or clinical variables (p>.05). There was a significant group by time interaction for insomnia [p=<.001, partial eta squared (pes)=.36]. Individuals randomized to CBT-I reported significant decreases in insomnia symptoms post treatment compared to WLC (CBT-I: -11.5; WLC: -2.7). Significant interactions were also observed for PCI (p=<.001, pes=.11), PCA (p=<.001, pes=.16), and impact on QOL (p=<.001, pes=.15). Participants randomized to CBT-I reported significantly less PCI (CBT-I: 14.7; WLC: 4.1), better PCA (CBT-I: 5.8; WLC: 1.1), and less impact on QOL (CBT-I: 4.9; WLC: 1.1) than participants in the WLC. Conclusion In addition to improving insomnia, CBT-I significantly improve perceived cognitive functioning and quality of life among cancer survivors. Further research is needed to understand the mechanisms underlying improvements in cognition following CBT-I. Support (if any) Dr. Sheila Garland is supported by a Canadian Cancer Society Emerging Scholar Award (Survivorship) (grant #707146). This project was funded through a grant from the Canadian Institutes of Health Research (CIHR) (grant number: PJT 162428) and the Beatrice Hunter Cancer Research Institute.
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 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 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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".