Physical activity and health-related quality of life among men with prostate cancer living in remote areas of Quebec
Bibliographic record
Abstract
INTRODUCTION: The majority (97.5%) of men with prostate cancer (PCa) live for at least five years after diagnosis. The health-related quality of life (HRQoL) of such men is affected by the adverse effects of treatment. Men living in remote areas of Canada have difficulty accessing specialized medical resources and psychological support. This constitutes an additional burden that weighs heavily on their HRQoL. Regular physical activity (PA) has a direct benefit, or an effect mediated by emotional distress, on the HRQoL of such individuals. In Canada, and elsewhere in the world, there is a poor uptake of PA-related recommendations. METHOD: We conducted a cross-sectional, observational study among 85 participants between May 2023 and September 2023. We then explored, through mediation analyses, the association between PA and HRQoL, taking into account the potential mediating effect of emotional distress. RESULTS: Most participants (61.2%) engaged in a high level of PA; however, their physical and mental HRQoL scores were low (mean scores of 41.99±6.09 and 52.40±4.86, respectively). Participants self-reported low levels of stress (mean score of 3.18±2.62). Very few participants (5.9%) displayed symptoms consistent with depression. In contrast, the majority of participants (92.9%) displayed symptoms of anxiety. No significant statistical association was observed between the level of PA and HRQoL. CONCLUSIONS: This lack of association may be explained by the short-term, seasonal nature of certain types of PA, which prevents such PA from having a positive effect on the HRQoL.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".