Sex differences in mental disorder symptoms among Canadian police officers: the mediating role of social support, stress, and sleep quality
Bibliographic record
Abstract
Police officers, and specifically women officers, report elevated mental disorder rates relative to the general population, which may be impacted by sleep quality, policing-related stress, and social support. In a sample of Canadian police officers, sex was indirectly related to post traumatic stress, depression, generalized anxiety, panic, and social anxiety symptoms through its relationships with social support and sleep quality, but not through policing-related stress. Sex was indirectly related to problematic alcohol use symptoms through sleep quality only. Differences in clinical symptom severity between both sexes may be partially accounted for by the worsened sleep quality reported by women officers relative to their men counterparts. Conversely, general social support appears to be a protective, albeit insufficient, factor influencing the mental health of women police officers. Male and women police officers did not differ in their reports of policing-related stress. The current results underscore the importance of incorporating strategies to improve sleep practices into police workplace environments. Additionally, findings that general social support and policing-related stress do not help explain the trend of increased clinical severity reported by women police suggest that more research is still needed to identify and delineate other contributing factors.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".