Suicidal Ideation, Planning, and Attempts among Canadian Coast Guard and Conservation and Protection Officers
Bibliographic record
Abstract
= 385; 59% men) completed a self-report survey that collected past-year and lifetime estimates of suicidal ideation, planning, attempts, sociodemographic information, and symptoms related to mental health disorders. Within the sample, participants reported lifetime suicidal ideation (25.7%), planning (10.9%), and attempts (5.5%). Participants reported past-year suicidal ideation (7.5%), planning (2.1%), and the percentage of attempts was too marginal to report due to ethical considerations. Canadian Coast Guard personnel and Conservation and Protection Officers reported higher percentages of past-year and lifetime suicidal ideation, planning, and attempts than the Canadian general population, but the percentages reported are comparable to other Canadian PSP sectors. No statistically significant results were observed for the sociodemographic covariates within the past-year, whereas, statistically significant results were observed for the lifetime sociodemographic covariates of age, province of residence, and previous work experience. There were statistically significant associations between past-year suicidal ideation and positive screens for major depressive disorder (MDD) and general anxiety disorder (GAD); as well, past-year suicidal planning was associated with social anxiety disorder (SAD). There were also statistically significant associations between lifetime suicidal ideation, planning, and attempts and positive screens for posttraumatic stress disorder (PTSD), MDD, and SAD. Lifetime suicidal ideation and planning were associated with panic disorder (PD). The current estimates provide valuable information for clinicians and stakeholders involved in prevention programs, treatment, or future research.
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 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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.003 | 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".