0829 Exploring Insomnia as a Factor Contributing to Cognitive Difficulties in Newly Diagnosed Men with Prostate Cancer
Bibliographic record
Abstract
Insomnia may impact cognitive performance. Men with prostate cancer (PCa) report difficulties with cognition, insomnia, and mood during cancer treatment. Less is known about how these symptoms interact prior to cancer treatment. This study evaluated associations between symptoms of insomnia and cognition performance, and whether this was influenced by symptoms of depression and anxiety. Men with newly diagnosed non-metastatic PCa were recruited prior to receiving cancer treatment. Participants completed the Insomnia Symptom Index (ISI), the Functional Assessment of Cancer Therapy Cognitive Scale (FACT-COG), and the Hospital Anxiety and Depression Scale (HADS). Separate hierarchical regressions evaluated the associations between symptoms of insomnia and perceived cognitive impairment (PCI), perceived cognitive abilities (PCA), and impact of cognitive performance on quality of life (QOL), after accounting for symptoms of anxiety and depressed mood. Zero-order correlations assessed bivariate associations and part correlations assessed incremental variance accounted for. 31 men (M=70; range 58-77 yrs) participated. Symptoms of insomnia were associated with PCI (Zero-order r =-.37, p=.04), but did not account for significant variance (part r=-.15) in PCI after adjusting for symptoms of anxiety and depression, which explained 18.7% variance in PCI, F(2, 30) = 3.22, p=.05. Similarly, symptoms of insomnia were associated with PCA (Zero-order r =-.38, p=.03), but did not account for any variance (part r=.00) in PCA after adjusting for symptoms of anxiety and depression, which explained 41% variance in PCA, F(2, 30) = 9.57, p<.01. Lastly, symptoms of insomnia were associated with QOL (Zero-order r =-.55, p<.01), but accounted for a non-significant 3.6% variance (part r=-.19) in QOL after adjusting for symptoms of anxiety and depression, which explained 43% variance in QOL, F(2, 30) = 10.74, p<.01. Although insomnia symptom severity was associated with various domains of cognition in men with PCa, it did not account for any variance beyond what was accounted for by symptoms of anxiety and depression. Dr. Garland is supported by a New Investigator Award and seed funding from the Beatrice Hunter Cancer Research Institute (BHCRI).
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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) | 0.001 | 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) | 0.000 | 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".