Suicidal Behaviour and Related Risk Factors among School-Aged Youth in the Republic of Benin
Bibliographic record
Abstract
INTRODUCTION: Research on factors associated with suicidal ideation and suicide attempts has been conducted largely in developed countries. Research on West African countries in particular is lacking. METHODS: Data were obtained from the Global School-based Health Survey conducted in Benin in 2009. This was a cross-sectional study of three grades, spanning Junior and Senior High, which sampled a total of 2,690 adolescents. Data on the occurrence of demographic, psycho-social and socio-environmental risk factors were tested using multinomial logistic regression for their association with suicidal ideation and suicide attempts. RESULTS: The survey indicated that 23.2% had thought about suicide and 28.3% had made a suicide attempt in the previous year. Anxiety, loneliness, being bullied, alcohol misuse, illicit drug use, and lack of parental support were independently related to the ideation outcomes, suicidal ideation without planning and suicidal ideation with planning. Multinomial regression analysis, using one suicide attempt and multiple suicide attempts as outcomes, revealed that female sex, anxiety, loneliness, being physically attacked, and illicit drug use were associated these outcomes. DISCUSSION: The prevalence of suicide attempts reported in the survey is relatively high. It is possible that there are cultural factors that could explain this finding. Our research indicates that many factors are related to the occurrence of suicidal ideation and suicide attempts among youth in Benin. Illicit drug use and violence in particular are associated with a high rate of suicide attempts in Benin. Measures to address these issues may reduce the risk of self-inflicted violence.
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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 | 0.001 |
| 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) | 0.000 | 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".