Pilot study of the prevalence of alcohol, substance use and mental disorders in a cohort of <scp>I</scp>raqi, <scp>A</scp>fghani, and <scp>I</scp>ranian refugees in <scp>V</scp>ancouver
Bibliographic record
Abstract
Abstract Introduction This study investigated the prevalence rate of current alcohol, substance use, post‐traumatic stress disorder ( PTSD ) and depression in a cohort of M iddle‐ E astern government‐assisted refugees ( GAR ) to B ritish C olumbia. Methods A group of GAR s (32 men and 36 women) were interviewed and assessed using four clinical assessments ( AUDIT , DUDIT , IES‐R , PHQ ‐9) at an intake facility in M etro V ancouver. Results Men had a higher prevalence of alcohol use compared to women (15.6% versus 0%, P < .05). Substance use was low for both men and women (3.1% and 2.8%) and consisted of T ylenol 3 use. Approximately the same proportion of male and female GAR s had PTSD as a clinical concern (21.8% and 22.2%). GAR s that were I raqi, M uslim, had attended university, or had children had higher IES‐R scores compared to other GAR s. Depression as a clinical concern was found in female and male GAR s (16.7% and 21.9%). Total PHQ ‐9 scores were higher for GAR s who were unmarried. Discussion It would be beneficial for mental health care providers who treat M iddle‐ E astern GAR s to review screening methods for PTSD , depression, and substance use. This may also include additional training in the screening of GAR s for appropriate mental health services. Mental health services must be linguistically and culturally matched to the recipient for optimal therapeutic benefit.
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 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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".