Suicidal Ideation in a Population-Based Sample of Adolescents: Implications for Family Medicine Practice
Bibliographic record
Abstract
Introduction. This study investigated the relationship between suicidal ideation and demographic characteristics, health conditions, depression, and health care utilization patterns among adolescents. Methods. Secondary analysis of the regionally representative Canadian Community Health Survey conducted in 2000/2001 (response rate 85%). Adolescents aged 15 to 19 who reported suicidal ideation in the previous year (n = 260) were compared with their peers who did not (n = 5528). The association between suicidal ideation and socio-demographic and health characteristics were investigated. Findings. Almost three-quarters (73%) of suicidal adolescents had not spoken with any health professional about mental health issues in the preceding year. Despite the fact that 80% of suicidal adolescents had regular contact with their family doctor, only 5% had consulted with them about mental health issues. In addition to the well-known risk factors of depression and stress, suicidal ideation was highly elevated in adolescents with two or more chronic health conditions, self-reported poor health, migraines, and back pain and those whose activities were prevented by pain (P < .05). Other characteristics significantly correlated with suicidal ideation included smoking, living in single parent families, and having lower levels of social support. Conclusions. Family physicians should regularly screen for suicidal thoughts in their adolescent patients with these characteristics.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".