SUICIDAL IDEATIONS AMONG SEXUALLY ABUSED CHILDREN: A CRITICAL NEED FOR BETTER UNDERSTANDING
Bibliographic record
Abstract
BACKGROUND: Child sexual abuse is clearly associated with multiple difficulties during adulthood, such as posttraumatic stress symptoms (PTSS), depression, anxiety, low self-esteem, suicidal ideations and suicide attempts (Fergusson, McLeod & Horwood, 2013). Prior studies also suggest that children who have disclosed sexual abuse may show PTSS (Hébert, Langevin & Daigneault, 2016) and behavior problems (Hébert, 2011) in the short term. However, very few studies have investigated suicidal ideations among young victims. OBJECTIVES: This study attempted to identify the prevalence and the predictors of suicidal ideations among sexually abused children. DESIGN/METHODS: The sample consisted of 447 sexually abused children (319 girls and 128 boys) between 6 to 12 years of age. Participants were recruited during the initial evaluation at various centers located in Quebec province and offering specialized services for sexually abused children. An adaptation of the History of Victimization Form (Parent et Hébert, 2006) was used to assess the characteristics of abuse based on information from the child’s medical or clinical record. A self-esteem scale, the Self-Perception Profile for Children (Harter, 1985), was completed by children. To assess suicidal ideations, children were asked “ Do you sometimes want to die?” (Valla, Bergeron, St-Georges & Berthiaume, 2000). Logistic regression analysis was used to test the contribution of gender, characteristics of sexual abuse and self-esteem to the prediction of suicidal ideations. RESULTS: A total of 10.7% of the sample reported less severe abuse (physical contact over clothing), 27.7% severe abuse (physical contact under clothing without attempted penetration) and 61.6% more severe abuse (penetration or attempted penetration). The results showed that 1 in 3 children have had suicidal ideations. Logistic regression analyses indicated that being a girl (Exp(B) = 1.97, p =0.016), having been subjected to intrusive gestures (Exp(B) =1.71, p = 0.031), having been abused by a family member (Exp(B) = 1.85, p = 0.024) and having a low self-esteem (Exp(B) = 0.42, p < 0.001) are all predictors of suicidal ideations. CONCLUSION: This research highlighted the high prevalence of suicidal ideations among sexually abused children. More efforts should be done in the future to investigate this topic among young victims, and to include assessment and treatment of suicidal ideations in child sexual abuse interventions.
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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 | 0.006 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.002 | 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".