Public health prevention programmes for mental illness in school-age children and adolescents
Bibliographic record
Abstract
Abstract Background Psychiatrists, psychotherapists and other mental health professionals have long stated the importance of adequate social groups and early intervention for the prevention of severe mental diseases. With psychiatric illness incidence increasing most in the adolescent and young adult populations, we propose the use of school-age directed public mental health initiatives to combat remaining social stigma and promote mental wellbeing, as well as educate children and adolescents in how to recognise symptoms and ask for help. Methods We conducted a systematic review on PubMed as well as government and NGO websites to identify public health initiatives in the prevention and early identification of mental illness among young individuals. Results Preliminary results show that, while certain countries have delineated guidelines on how to support students’ mental health, very few have implemented nation-wide, or even region-wide programmes that directly target prevention and education. A particular note should be made regarding substance abuse and addiction, one of the few illnesses for which many countries have already enacted in-school programmes, that however often overlook the medical aspect of such diseases. Of further note are certain local programmes aimed at offering quality and accessible care to adolescents struggling with mental diseases. Conclusions With psychiatric diseases projected to become one of the greatest contributors to the global burden of disease by 2030, and the importance of early intervention in preventing severe psychiatric illness, we advocated for European public health initiatives implemented in schools, which could be crucial in curbing the spread of mental illness. Key messages • Adolescent and young adults are those most affected by the rising prevalence of mental illness. Consequently, we advocate for in-school programmes to aid in early identification and intervention. • Early identification of mental diseases is crucial in the prevention of severe psychiatric illness, but little has been done so far in terms of public health interventions to tackle such problems.
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How this classification was reachedexpand
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 | 0.031 | 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 | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".