Building a Sustainable Mental Health Support System for Nigerian Youth: A School-Based Intervention
Bibliographic record
Abstract
Youth-focused interventions to improve the mental health awareness and mental health seeking behaviour among the population have been relatively scarce. This study therefore explored the improvement in mental health literacy, resilience, coping strategies and overall mental wellbeing of undergraduates through a youth-driven multifaceted mental health intervention. A pre and post intervention study between 2023 and 2024 was conducted among the undergraduates of the University of Ilorin. This was followed by a comprehensive training on overall mental health promotion and mental disorders, establishment of a safe space for early intervention of minor mental illnesses, campus radio program and sensitization outreaches and; monitoring. Both baseline and endline data were collected using semi-structured questionnaires and interviews. Secondary data was also collected from the on-campus mental health safe space using the WHO-5 Well Being Index, Brief COPE (Coping Orientation to Problems Experienced Inventory), Social Connectedness Scale, Emotional Regulation and Resilience Measure. The quantitative data were analyzed for frequency of occurrence and inferential statistics. The information from the exit interviews were transcribed and analyzed for themes and contents. A total of 42 students were trained as peer supporters and curators. A total of 919 out of 2282 clients with a mean age of 20.7 ± 2.3 years recorded at the mental health safe space completed at least 4 visits. Majority of the clients (63.6%) were females. Comparison of the baseline and endline survey findings showed significant changes in knowledge and behavioural responses about mental illness as a result of the intervention. The results showed significant improvement in the mental health wellbeing and resilience of the clients. There was significant demonstration of improved coping skills, increased help seeking behaviour and utilization of positive coping strategies by the clients. The peer to peer model of youth mental health intervention showed remarkable positive outcomes over the implementation timeframe. The evaluation demonstrated the potential for sustainability with more efforts and further intervention.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".