Mechanisms of personality-targeted intervention effects on adolescent alcohol misuse, internalizing and externalizing symptoms.
Bibliographic record
Abstract
OBJECTIVE: This study aims to explore the mechanisms of personality-targeted intervention effects on problematic drinking, internalizing and externalizing symptoms. METHOD: As part of a cluster-randomized trial, 1,210 high-risk students (mean age 13.7 years) in 19 London high schools (42.6% White, 54% male) were identified using the Substance Use Risk Profile Scale. Intervention school participants were invited to participate in personality-matched interventions by trained school staff. MacKinnon's products of coefficients method was used to compare 3 complementary mechanism hypotheses, namely, whether early changes in (a) alcohol use, (b) internalizing and externalizing symptoms, or (c) personality during the 6 months postintervention accounted for intervention effects over 2 years. RESULTS: Early intervention effects on drinking behaviors during the 6 months postintervention partially accounted for longer term intervention effects on the onset of binge drinking (95% confidence interval [CI] [-.349, -.062]) and drinking problems (95% CI [-.206, -.016]) over 2 years. Intervention effects on anxiety symptoms and conduct problems were partially mediated by early reductions in depressive symptoms (95% CI [-.013, -.001]; 95% CI [-.047, -.001]), and intervention effects on internalizing symptoms were also partially mediated by reductions in anxiety sensitivity (95% CI [-.003, 0]). CONCLUSIONS: 2-year intervention effects on problematic drinking were largely accounted for by early changes in drinking behaviors, and were not mediated by changes in mental health symptoms or personality risk factors. Early improvements in mood and anxiety sensitivity partially mediated longer term reductions in mental health problems.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".