FEATURE ARTiclE. Multiple Health-Risk Behaviour and Psychological Distress in Adolescence
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Arbour-Nicitopoulos et al Objective: To examine the prevalence and correlates of psychological distress in a school-based sample of Canadian adolescents. Method: Self-reported data of demographics, weight status, physical activity, screen-time, diet, substance use, and psychological distress were derived from a representative sample of 2935 students in grades 9 to 12 (Mage = 15.9 years) from the 2009 Ontario Student Drug Use and Health Survey. Results: Overall prevalence of psychological distress was 35.1%. Significant associations were shown between psychological distress and the following: being female, tobacco use, not meeting physical activity and screen-time recommendations, and inadequate consumption of breakfast and vegetables. Conclusions: These findings highlight the need for targeting greater physical health promotion for adolescents at risk of mental health problems. Key words: adolescents, multiple health behaviour, mental health █ Résumé Objectif: Examiner la prévalence de la détresse psychologique et ses corrélats dans un échantillon scolaire d’adolescents canadiens et. Méthodologie: Les données démographiques auto-déclarées sur le poids, l’activité physique, le temps d’écran, l’alimentation, la consommation de drogue, et la détresse psychologique sont celles de 2935 élèves de 9e à 12e
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 it