Suicide Attempts and Childhood Maltreatment Among Street Youth: A Prospective Cohort Study
Bibliographic record
Abstract
BACKGROUND: Although suicide is a known leading cause of death among street youth, few prospective studies have explored childhood experiences as risk factors for future suicide attempt in this population. We examined the risk of attempted suicide in relation to childhood maltreatment among street youth. METHODS: From September 2005 to November 2013, data were collected from the At Risk Youth Study (ARYS), a prospective cohort of street youth in Vancouver, Canada. Inclusion criteria were age 14 to 26 years, past-month illicit drug use, and street involvement. Participants completed the Childhood Trauma Questionnaire, an instrument measuring self-reported sexual, physical, and emotional abuse and physical and emotional neglect. Suicide attempts were assessed semiannually. Using Cox regression, we examined the association between the 5 types of maltreatment and suicide attempts. RESULTS: Of 660 participants, 68.2% were male and 24.6% were Aboriginal. Median age was 21.5 years. The prevalence of moderate to extreme childhood maltreatment ranged from 16.8% (sexual abuse) to 45.2% (emotional abuse). Participants contributed 1841 person-years, with suicide attempts reported by 35 (5.3%) individuals (crude incidence density: 1.9 per 100 person-years; 95% confidence interval [CI]: 1.4-2.6 per 100 person-years). In adjusted analyses, types of maltreatment associated with suicide attempts included physical abuse (adjusted hazard ratio [HR]: 4.47; 95% CI: 2.12-9.42), emotional abuse (adjusted HR: 4.92; 95% CI: 2.11-11.5), and emotional neglect (adjusted HR: 3.08; 95% CI: 1.05-9.03). CONCLUSIONS: Childhood maltreatment is associated with subsequent risk of suicidal behavior among street youth. Suicide prevention efforts should be targeted toward this marginalized population and delivered from a trauma-informed perspective.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".