Long-term effects of a personality-targeted intervention to reduce alcohol use in adolescents.
Bibliographic record
Abstract
OBJECTIVE: To examine the long-term effects of a personality-targeted intervention on drinking quantity and frequency (QF), problem drinking, and personality-specific motivations for alcohol use in early adolescence. METHOD: A randomized control trial was carried out with 364 adolescents (median age 14) recruited from 13 secondary schools with elevated scores in Hopelessness, Anxiety-Sensitivity (AS), Impulsivity, and Sensation-Seeking. Participants were randomly assigned to a control no-intervention condition or a 2-session group coping skills intervention targeting 1 of 4 personality risk factors. The effects of the intervention on quantity/frequency (QF) of alcohol use, frequency of binge drinking, problem drinking, and motives were examined at 6, 12, 18, and 24 months postintervention. RESULTS: Intent-to-treat repeated measures analyses revealed a significant overall intervention effect in reducing problem drinking symptoms, and a Time × Intervention effect on drinking QF and binge drinking frequency. Relative to the control group, the intervention group showed significantly reduced drinking and binge drinking levels at 6 months postintervention and reduced problem drinking symptoms for the full 24-month follow-up period (Cohen's d = 0.33). A significant Time × Intervention × Personality interaction was demonstrated for coping and enhancement drinking motives. In addition to an overall effect of intervention on coping motives, the AS group who received that intervention reported fewer coping motives compared with the AS control group at 12 and 24 months postintervention. CONCLUSIONS: This study provides further evidence showing that personality-targeted interventions reduce drinking behavior in adolescents in the short term. Novel findings were that the interventions were shown to produced long-term effects on drinking problems and personality-specific effects on drinking motives.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".