A prospective cohort study of non‐fatal accidental overdose among street youth: The link with suicidal ideation
Bibliographic record
Abstract
INTRODUCTION AND AIMS: Drug overdose and suicide are the two leading causes of death among street youth. The literature discusses the two faces of drug overdose: accidental act and suicide attempt. Some authors have stated that accidental overdoses may be a hidden expression of suicidal ideation. This study longitudinally examined the relationship between recent suicidal ideations and non-fatal accidental drug overdoses among street youth. DESIGN AND METHODS: Between July 2001 and December 2005, 858 street youth (14-23 years old) were recruited for a prospective cohort study. Youth were eligible if, in the previous year, they had been without a place to sleep more than once or had used the services of street youth agencies on a regular basis (≥3). Participants completed baseline questionnaires and follow-up interviews were carried out every 6 months. Mixed-effect logistic regression models were conducted. Apart from suicidal ideation and accidental drug overdose, variables considered in the model were age, sex, problematic alcohol use, homelessness, injection drug use and polydrug use (≥3 drugs). RESULTS: Accidental drug overdose was significantly associated with suicidal ideation (adjusted odds ratio 1.88; 95% confidence interval 1.23-2.54). Homelessness, injection drug use and polydrug use were also significant in the final model. DISCUSSION AND CONCLUSIONS: Results show that, during follow up, suicidal ideation independently increased risks of accidental overdose. They also underscore the need for interventions beyond educational prevention. Primary care practitioners should investigate suicidal ideations and behaviours of street youth in treatment for accidental overdose.
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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".