Impulsivity, age of first alcohol use and substance use disorders among male adolescents: a population based case–control study
Bibliographic record
Abstract
AIMS: To evaluate the association between impulsivity, age of first alcohol consumption (AFD) and substance use disorders (SUD) in a non-clinical sample of adolescents. DESIGN AND SETTING: Population-based case-control study of male adolescents between 15 and 20 years of age nested in a community survey in southern Brazil. PARTICIPANTS: Cases were drug or alcohol abusers/dependents defined according to DSM-IV abuse/dependence criteria (n = 63). Individuals who had experienced alcohol use but where non-abusers served as controls (n = 355). Cases and controls completed a structured face-to-face interview. MEASUREMENTS: The Mini International Neuropsychiatric Interview (MINI) was completed during the original survey and used to identify cases and controls. Impulsivity was measured by means of the Barratt Impulsivity Scale (BIS 11). Self-reported AFD and socio-demographic data were collected and analyzed through logistic regression according to a hierarchical model. FINDINGS: Impulsivity and AFD were significantly associated with SUD. Both higher impulsivity [odds ratio (OR) 3.3, 95% confidence interval (CI) 1.4-7.8] and earlier AFD (OR 1.2, 95% CI 1.0-1.3) remained associated with SUD after model adjustments. CONCLUSIONS: The findings from this population-based case-control study suggest that impulsivity and age of first alcoholic drink are associated strongly with alcohol and drug problems. Additionally, impulsivity seems to contribute to a premature exposure to alcohol by hastening the AFD. If the temporal effect of these associations is confirmed in longitudinal designs including broader population groups, our findings may contribute to the development of clinical and policy interventions aiming at reducing the incidence and morbidity associated with substance-related problems among adolescents.
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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 | 0.000 | 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 | 0.001 |
| 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".