Short-term changes in substance use among problematic alcohol and drug users from a general population sample
Bibliographic record
Abstract
Sinadinovic, K., Wennberg, P., & Berman, A. (2014). Short-term changes in substance use among problematic alcohol and drug users from a general population sample. The International Journal Of Alcohol And Drug Research, 3(4), 277-287. doi:http://dx.doi.org/10.7895/ijadr.v3i4.186Aims: To investigate 12-month changes among individuals with baseline problematic use of alcohol or illicit drugs, by gender, age, initial level of substance use, and administration method (Internet or Interactive Voice Response, IVR).Design: 1,861 individuals from a random population sample were screened for problematic alcohol and illicit drug use. Individuals screening positive were followed up after 12 months.Setting: The Swedish general population.Participants: 423 individuals with baseline problematic alcohol (women: AUDIT ≥ 6, men: AUDIT ≥ 8) or drug use (both genders: DUDIT ≥ 1).Measures: AUDIT, DUDIT, AUDIT-C and DUDIT-C scores.Findings: AUDIT scores decreased from 10.43 to 8.62; among 239 participants with baseline problematic alcohol use, 34.3% no longer had problematic use at follow-up. Total DUDIT scores decreased from 4.92 to 2.33; among 51 participants with baseline problematic drug use, 60.8% reported no illicit drug use at follow-up. AUDIT and DUDIT scores decreased more for individuals who at baseline had harmful problematic use, compared to those who had hazardous baseline use. Within-group effect sizes for AUDIT and DUDIT scores varied between 0.29 and 0.69 (Cohen’s d).Conclusions: Data on short-term change in problematic substance use in a random general population sample could constitute a reference point for comparisons for uncontrolled treatment studies.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".