Alexithymia, Psychopathology and Alcohol Misuse in Adolescence: A Population Based Study on 3556 Teenagers
Bibliographic record
Abstract
Objectives: To analyze the association between alexithymia and alcohol intake during adolescence, also in relation to psychopathology, in order to identify psychological risk factors for alcohol misuse. Method: 3556 students [mean age (range) 14.5 years (11-18)] were recruited in the Padua area. Each was administered a set of three questionnaires: the Toronto Alexithymia Scale for children (TAS-20) to measure alexithymia, the Questionnaire Adolescent Saturday evening (QAS) to estimate of alcohol intake, and the Youth Self-Report (YSR 11-18) to value psychopathology. Results: Externalizing problems appeared to increase with age and with the amount of alcohol consumed, unlike internalizing problems. The prevalence of alexithymia was 18%, decreasing with age, and it was not associated with alcohol consumption, and used except in younger subjects (≤13), for whom a positive correlation was observed between alexithymia, internalizing problems and alcohol intake. Conclusions: Younger adolescents are more psycho-emotionally vulnerable (internalizing problems and alexithymia) and at a greater risk of alcohol misuse.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".