Increased burden of suicidality among young street-involved sex workers who use drugs in Vancouver, Canada
Bibliographic record
Abstract
BACKGROUND: The risks of suicidality among street-involved youth who use drugs and engage in sex work are not well described. This study sought to evaluate if street-involved youth who engage in sex work were at an elevated risk for attempting suicide. METHODS: Data were derived from the At-Risk Youth Study, a prospective cohort of street-involved youth who use drugs in Vancouver, Canada. Multivariable generalized estimating equation analyses were employed to examine whether youth who engaged in sex work were at elevated risk of attempting suicide, controlling for possible confounders. RESULTS: Between September 2005 and May 2015, 1210 youth were recruited into the cohort, of whom, 173 (14.3%) reported recently attempting suicide at some point during the study period. In multivariable analysis, youth who engaged in sex work were significantly more likely to report a recent suicide attempt (adjusted odds ratio = 1.93; 95% confidence interval: 1.28-2.91). CONCLUSIONS: Street-involved youth who engage in sex work were observed to be at a significantly higher risk for suicidality. Systematic discrimination and unaddressed trauma may contribute to the observed increased burden of suicidality among this population. Interventions that support the mental health and well-being of street-involved youth who engage in sex work are urgently needed.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 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) | 0.002 | 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".