Psychosocial Determinants of Mental Health and Risk Behaviours in Adolescents
Bibliographic record
Abstract
This study aimed at identifying the prevalence of emotional problems among children and adolescents in Portugal. Gender, developmental aspects, their psychosocial determinants, and the time trends over 8 years were also explored. The three waves of a cross-sectional survey obtained from the HBSC nationally representative samples of 10-17 year old children and adolescents in 1998, 2002, and 2006, were used. Specific composite indexes included emotional and somatic symptoms, substances' use, demographic and psychosocial factors. Girls reported more emotional symptoms, and boys reported more substances' use. Emotional symptoms and substances' use increased with age, in contrast school commitment and perception of safe neighbourhood decreased with age. With age, the communication with the family tends to become more difficult, while communication with the friends tends to become easier. Along the three waves, substances' use and emotional symptoms have shown a general pattern of decrease. Results were discussed according to literature and their consequences for the understanding of emotional problems and substance use in childhood and adolescence. Mental health promotion includes both the prevention of emotional problems and risk behaviours; determinants include individual factors and a range of psychosocial factors. Mental health problems have a huge impact on adolescents' well-being; however it is often a poorer area of intervention in school based interventions. Gender differences are highlighted.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".