Promoting mental health literacy in schools
Bibliographic record
Abstract
Abstract Background Adolescence is the most suitable time for health promotion and prevention programs regarding mental illness to start. Given that, about half of the mental illnesses will develop by the age of 14, addressing this issue early in the life course is a particular public health goal in Europe. Mental health literacy is considered a key determinant of good mental health, as it comprises adequate knowledge positive attitudes towards mental health and help-seeking behavior. School-based interventions aimed at increasing mental health literacy are a promising method to reach most young people, at least in countries were school attendance is mandatory. The goal of our project is to evaluate a mental health school program, adapted from a Curriculum originating in Canada, in regard to its ability to increase the mental health literacy of adolescents and young adults within the German school setting. Methods Data is currently being collected within the school setting from adolescents and young adults attending regular secondary schools and vocational schools in Germany at three different time points: (T0) before the intervention, (T1) afterwards and (T2) 2-3 months later. A control group will be questioned as well. Data collection takes place between February and December 2020. Results Till October 2020 a sample size of about 200 to 400 participants will be reached. It is expected that the intervention group will have a significantly higher increase in mental health literacy, more positive attitudes towards help-seeking and a decrease in stigmatizing attitudes towards mental illness compared to the control group. Conclusions It is expected that, the mental health Curriculum will show to be an effective way of promoting the mental health literacy of young people attending different school forms in Germany. A national wide implementation might be a promising public health measure for fostering good mental health and mental health literacy in adolescents and young people.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".