A Longitudinal Study of Suicidal Ideation in Sexually Abused Adolescent Girls: Depressive Symptoms and Affect Dysregulation as Predictors
Bibliographic record
Abstract
Child sexual abuse (CSA) is associated with many repercussions on adolescents' mental health, including suicidal ideation. Yet, the mechanisms linking CSA to adverse outcomes have rarely been investigated within a longitudinal design. The current study aimed to examine the role of affect dysregulation in the association between depressive symptoms and suicidal ideation 1year after the first assessment in a sample of 119 sexually abused adolescent girls. An integrative mediational model was conceptualized to examine the explicatory role of affect dysregulation (Time 2) in the association between depressive symptoms (Time 1) and suicidal ideation (Time 3). Approximately 31% of the girls reported suicidal ideation at Time 3. Path analysis with logistic regressions revealed that the association between depressive symptoms and suicidal ideation presence was partly explained by affect dysregulation, which increased the risk of suicidal ideation presence by 18.4%, OR = 1.18, 95% CI [1.07, 1.33]. The integrative model explained 21.5% of the variance in suicidal ideation. These findings identify potential predictors of suicidal ideation among sexually abused adolescent girls. This present study highlights the role of affect dysregulation in the presence of suicidal ideation and provides potential targets for intervention practices when working with adolescent girl victims of CSA. As such, interventions for this vulnerable population should aim to decrease depressive symptoms and affect dysregulation to reduce suicidal risk.
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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 | 0.000 | 0.000 |
| 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".