Consumo de riesgo de alcohol y factores asociados en adolescentes de 15 a 16 años de la Cataluña Central: diferencias entre ámbito rural y urbano
Bibliographic record
Abstract
OBJECTIVE: To determine the prevalence of risky alcohol consumption and associated risk factors among adolescents living in Central Catalonia (Spain) during the 2011-2012 academic year, depending on their area of residence. METHOD: A cross-sectional study was carried out in a sample of 1268 10th grade students (4th grade of secondary education) in Central Catalonia. RESULTS: Risky alcohol consumption was higher among adolescents in rural areas than in urban areas (59.6% versus 49.8%). Associated risk factors were drunkenness in siblings and friends, having positive expectations of alcohol consumption, and buying alcohol. Not living with both parents and poorer academic achievement were associated risk factors in rural areas, while higher socioeconomic status was a risk factor in urban areas. CONCLUSIONS: Risky alcohol consumption was much higher among adolescents living in rural areas. The main associated factor was alcohol consumption among family and friends.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".