The role of drunken older siblings and drunken peers in the alcohol-violence nexus
Bibliographic record
Abstract
BACKGROUND: It is common knowledge that alcohol use and violence in adolescence is interrelated. However, less is known about variables which modify the link between alcohol use and violent behaviours in adolescence. The present study investigates how the interaction of intraindividual [adolescent risky single occasion drinking (RSOD)], intrafamilial (risky drinking of older siblings) and extrafamilial (risky drinking among peers) alcohol-related risk factors contributes to adolescents' violence and delinquency. METHODS: Multiple linear regression analyses including two- and three-way interactions were conducted based on a national representative sample of 3711 8-10th graders in Switzerland (mean age 15.0, SD = 0.95) who had older siblings. RESULTS: All three alcohol-related risk factors and the three-way interaction contributed significantly to the frequency of violence and delinquency. Adolescents who frequently engage in RSOD and have both drunken peers and drunken older siblings had the highest levels of violence and delinquency. Moreover, their association between own drinking and violence increased the steepest. CONCLUSION: The present study confirmed the occurrence of cumulative risk processes and demonstrated that excessive alcohol consumption among older siblings and peers represents a crucial contextual factor for the link between adolescents' risky drinking and violence and delinquency. For prevention, the findings suggest that a focus on peers alone may not be effective if the familial background is not taken into consideration.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".