Early Risk Behaviors and Adolescent Injury in 25 European and North American Countries
Bibliographic record
Abstract
Injury is a leading cause of mortality and morbidity among adolescents in developed countries. Jessor and Jessor’s Problem Behavior Theory suggests an association between risk behaviors (e.g., smoking, drunkenness, cannabis use, and sexual intercourse) and adolescent injury. The present study examined whether early engagement in risk behaviors would predict injury at age 15. It also examined whether such associations were consistent in strength across countries. Based on the data from the 2005-2006 Health Behaviour in School-aged Children (HBSC) survey, a multigroup logistic regression analysis was conducted. Our findings demonstrate a cross-national consistent association (with relative odds of injury rising to 1.85; 95% CI: 1.70-2.02). Based on the study findings, early engagement in risk behaviors was considered a marker for a trajectory that places adolescents at higher risk for physical injury, independent of their national context.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".