Suicidal ideation and suicide attempts among Tunisian adolescents: prevalence and associated factors
Bibliographic record
Abstract
INTRODUCTION: Studies directed on suicidal behavior in North African adolescents are rare. This study was conducted to estimate the prevalence of suicidal thoughts and attempts among high school students in Tunisia and to determine factors associated with this suicidal behavior. METHODS: This is an analytical cross-sectional study composed of a population containing 821 high school students obtained through cluster sampling. The participants completed a pre-established form related to socio-demographic characteristics and anxiety symptoms, the Suicide Behavior Questionnaire-Revised, the Beck depression scale, and the Rosenberg self-esteem scale. RESULTS: The mean age of the adolescents was 17.7±0.97 years. Prevalence of suicidal behavior was 26.9% for brief passing suicidal thoughts, 9.6% for serious suicidal thoughts, and 7.3% for suicide attempts. Six determining factors of suicidal behavior were found: female gender (OR=2.56 (1.32-4.95); p= 0.005), personal history of depression (OR=2.29 (1.38-3.80); p=0.001), tobacco smoking (OR=3.59 (1.61-8.01); p=0.002), current depression symptoms (OR=5.50 (2.14-14.11); p<0.001), history of non-suicidal self-injurious behavior (OR= 3.16 (2.05-4.86); p<0.001), and low self-esteem (OR=2.74 (1.71-4.38); p<0.001). CONCLUSION: Suicidal ideation and attempts are frequent among Tunisian adolescents and represent a serious public health problem. An urgent national prevention program is required.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".