Gender-based violence and associated factors among adolescents and young girls and boys in the Haut-Sassandra region, Côte d’Ivoire
Bibliographic record
Abstract
OBJECTIVES: Gender-based violence (GBV) is a major public health concern in Sub-Saharan Africa, where young people are disproportionately affected. This study aims to assess the prevalence and determinants of GBV among adolescents and young people in Côte d'Ivoire. STUDY DESIGN: Cross-sectional study. METHODS: A quantitative cross-sectional study conducted in 2023 among people aged 10-24 years. Participants were randomly selected in the multicultural Haut-Sassandra region. Data were collected during face-to-face interviews using a standardized questionnaire. GBV was defined as the presence of sexual, physical and/or psychological violence. A multivariate Poisson regression analysis examined associations with sociodemographic, behavioral, structural, and other factors. RESULTS: In total, 1515 participants accounted for the analyses. Mean age (± standard deviation) was 17.7 (±3.7) years. Eighteen percent (18 %) reported at least one type of GBV (13.7 %, 7.7 %, 4 % and 0.3 % for psychological, physical, sexual, and other types of violence, respectively). Only 19.1 % were aware of the existence in their community of a support mechanism. Among victims, only 23.4 % sought or received support. Positive associations with GBV were found for alcohol/drug consumption (p = 0.018), rural areas (p = 0.001), history of sexually transmitted infections (p = 0.046), anal sex (p = 0.002), and larger age difference between sexual partners (p = 0.045). Each additional year of age appeared to be protective (p = 0.0002). CONCLUSIONS: In the Haut-Sassandra region, Côte d'Ivoire, adolescent and youth are vulnerable to GBV, a multidimensional issue that should be addressed by awareness-raised campaigns and by implementing comprehensive victim-protection and support mechanisms.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| 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".