Pattern of alcohol consumption by young people from North Eastern Portugal
Bibliographic record
Abstract
Alcohol is the most used psychoactive substance among adolescents, is an important public health problem and a major risk factor for the health of this group. This study is regarding to the pattern of alcohol consumption by adolescents. Descriptive, correlational and cross-sectional study, with a sample of 378 adolescents, which are attending three high schools, in north-eastern Portugal. In the data collection we used a questionnaire. Data was analysed using SPSS. The prevalence of alcohol is 86.8%. The mean score of Alcohol Use Disorders Identification Test (AUDIT) was 3.53±4.525 points. The vast majority of participants were located in the non-excessive alcohol consumption area (91.3%). The pattern of alcohol consumption differs significantly between gender (Wald: p ≤ 0,004) and the religious practice (Wald: p ≤ 0,027), with greater percentage of boys and students who did not practice any religion in excessive consumers. The prevalence of alcohol consumers is high. The proportion of young people with excessive consumption in our sample is lower than in other studies, but shows that there is a group of adolescents in excessive consumption. It found a relationship between consumption pattern, gender and religious practice. These results justify the development of public health interventions.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".