Socioecological analysis of determinants of early adolescent sexuality in Benin: a qualitative study
Bibliographic record
Abstract
Introduction: early adolescent sexuality is associated with an increase in risky sexual behaviour, unwanted pregnancies, and the occurrence of sexually transmitted infections. However, despite the efforts of governments and their partners, the implementation and effectiveness of appropriate and adapted services to improve adolescent sexual and reproductive health are lagging. Therefore, this study aimed to document determinants of early adolescent sexuality in the central district of Tchaourou in Benin based on a socio-ecological approach. Methods: an explorative and descriptive qualitative study was conducted using focus groups and individual interviews based on the socio-ecological model. Participants included adolescents, parents, teachers, and community leaders in Tchaourou. Results: the number of participants in each focus group was 8 (32). There were 20 girls and 12 boys aged 10-19 years, of whom 16 were students (7 females and nine males) and 16 were apprentice dressmakers and hairdressers. In addition, five participants attended individual interviews (two community leaders, one religious' leader, one teacher and one parent). Four themes were identified that influence early sexuality among adolescents and grouped into individual determinants related to knowledge about early sexuality; interpersonal determinants related to adolescents' function, including the influence of family and peers; community and organizational determinants related to where harmful sociocultural norms; political determinants comprising the disadvantaged socioeconomic status of the communities where adolescents live. Conclusion: many factors at multiple social levels influence early adolescent sexuality in the commune of Tchaourou in Benin. Therefore, interventions directed at these various levels are needed urgently.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".