A Longitudinal Investigation into Excess Risk for Blood-Borne Infection Among Young Injection Drug Users (IUDs)
Bibliographic record
Abstract
Studies have found that young injection drug users (IDUs) may be at elevated risk for blood-borne infection transmission, however few studies have evaluated risk longitudinally. We compared variables between younger (>or= 29 years) and older (<or= 30 years) IDUs in Vancouver, British Columbia, Canada between 1996 and 2006. Of 1598 participants, 582 (36%) were aged <or= 29 years. In prospective analyses (N = 1598), factors associated with younger age included: borrowing syringes, and frequent (>or= 1 daily) injection of heroin, cocaine, and speedballs. Additionally, younger IDUs were less likely to access drug treatment or methadone maintenance therapy (MMT) and test HIV and HCV-positive. Younger IDUs have lower HIV and HCV prevalence, but a higher risk profile and lower uptake of drug treatment. These factors underscore the need to target this age group and develop youth friendly interventions to minimize drug-related harms.
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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 | 0.003 | 0.000 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".