Screening for adverse childhood experiences among young people using drugs in Vietnam: related factors and clinical implications
Bibliographic record
Abstract
BACKGROUND: Research evidence shows a strong association between adverse childhood experiences (ACEs) and later-life substance use. But little is known about the prevalence and impact of ACEs among young people using drugs (YPUD) in Vietnam. METHOD: A cross-sectional study using respondent-driven sampling and peer recruitment methods was conducted among YPUD aged 16-24 in three cities in Vietnam. Eligible participants were screened for ACEs using the ACE-IQ, tested for HIV and hepatitis C, and assessed for sociodemographic and behavioral characteristics. RESULTS: Data were collected on 553 individuals whose median age was 20: 79% were male, 18.3% women and 2.7% transgender. Methamphetamine use was reported by 75.8% of participants. 85.5% reported at least one ACE and 27.5% had four ACEs or more. An ACE score of 4 or higher was associated with female and transgender, lower educational level, methamphetamine use, buying sex, depression, psychotic symptoms and expressed need for mental health support. CONCLUSIONS: ACEs were found to be very common among YPUD in Vietnam. It is therefore strongly recommended that these young people should be provided with a comprehensive and secure assessment and care that includes not only essential harm reduction and addiction treatment needs but also addresses their mental health needs.
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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) | 0.000 | 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".