Prevalence and Correlates of 12-Month Prescription Drug Misuse in Alberta
Bibliographic record
Abstract
OBJECTIVE: We examined the prevalence and correlates of prescription drug misuse (PDM) in a population-based sample of adults from Alberta. METHODS: Data were collected from 3511 adults in Alberta aged 18 years and older in 2002 using a computer-aided telephone survey; the survey response rate was 57.4%. RESULTS: The prevalence of 12-month PDM in Alberta was 8.2% in 2002. Opiates were the most frequently misused drug class, followed by sedatives, stimulants, and tranquilizers. Current disability was particularly associated with PDM. Odds of PDM were also elevated among adult students and adults with a high school diploma relative to adults with a post-secondary degree. Past-year problem gambling, illicit drug use, and alcohol use and dependence were each associated with PDM, while past-year binge drinking and daily smoking were not. CONCLUSIONS: Findings suggest PDM was an important public health concern in Alberta in 2002. Estimates suggest prescription use and misuse have increased substantially in Canada since that time. There is an urgent need for an ongoing assessment of this evolving problem so that effective prevention and therapeutic strategies can be developed.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".