Sleep hygiene mediates the association between sleep quality and symptoms of fatigue, anxiety and depression in prostate cancer patients
Bibliographic record
Abstract
Introduction Prostate cancer (PCa) treatment impairs sleep and psychological well-being. We aim to determine if sleep hygiene mediates the relationship between sleep quality, fatigue, anxiety and depression in PCa patients.Methods Fifty-one participants completed questionnaires on sleep, sleep hygiene and psychological well-being, and one-week sleep-wake measurement using actigraphy.Results Over 25% of participants frequently got out of bed at inconsistent times, used alcohol/tobacco/caffeine close to bed time, and used bed for activities other than sleeping or sex. Close to 40% frequently engaged in multiple poor sleep hygiene. Feeling stressed, angry, upset, or nervous while in bed partially mediated the relationships between insomnia symptoms and anxiety or depressive symptoms, and fully mediated the associations between: (1) wake after sleep onset (WASO) and fatigue symptoms, (2) insomnia symptoms and fatigue symptoms, and (3) WASO and depressive symptoms. Thinking, planning, or worrying while in bed partially mediated the relationships between number of awakening or insomnia symptoms and anxiety symptoms, and fully mediated the association between WASO and fatigue symptoms. Taking long daytime naps partially mediated the relationship between sleepiness and fatigue symptoms.Conclusion Sleep hygiene education may help PCa patients avoid behaviors that worsen their sleep and psychological well-being.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".