Mental health outcomes and help‐seeking behaviours among Egyptian medical students: A cross‐sectional study
Bibliographic record
Abstract
AIM: Approximately half of the population in Egypt is under the age of 25. Globally, mental illness represents the highest burden of disease in this age group. Yet in Egypt, there is still no youth-specific mental health system in place and the vast majority of young people do not have access to any professional mental health support. The objective of this study was to describe the mental health needs of Egyptian youth and the resources they use when seeking help. METHODS: An online cross-sectional survey was distributed among medical students at Tanta University in Egypt. Of the 707 individuals who completed the survey (90.9% response rate), 60.5% were female, 62.0% lived in urban and suburban areas, and the mean age of the sample was 20.5 (±1.8) years old. RESULTS: More than half (54%) of the students reported that they had been affected by mental health problems at some point in their lives. Anxiety and depression were the most common problems. Regarding help-seeking behaviours, participants mainly searched the web or spoke to peers and relatives; few reported approaching medical professionals. The majority of participants (59.7%) reported being disappointed with the current mental health care system in Egypt. CONCLUSIONS: There is a high prevalence of mental challenges among Egyptian youth and the health care system is not adequately prepared to respond to their needs. E-Mental Health and online interventions seem to be a promising solution that could increase access to mental health services for Egyptian youth.
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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 | 0.001 | 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) | 0.004 | 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 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".