Investigating the role of alexithymia in the association between cumulative childhood maltreatment and teen dating violence victimization
Bibliographic record
Abstract
BACKGROUND: Childhood maltreatment is increasingly recognized as an important risk factor for teen dating violence (TDV) victimization. However, far too little research has studied the mechanisms that could explain this higher risk of revictimization. The present study investigated the role of alexithymia in the association between cumulative childhood maltreatment, TDV victimization occurrence and chronicity, and TDV-related post-traumatic stress disorder (PTSD) symptoms. METHODS: A total of 2780 adolescents, aged 13 to 19, completed measures of childhood maltreatment and alexithymia at Time 1 and TDV victimization and TDV-related PTSD symptoms at Time 2 (6 months later). Two mediational models were tested to examine the role of alexithymia as a risk factor for revictimization. One model assessed TDV occurrence as an outcome, while the other explored TDV chronicity and TDV-related PTSD symptoms as outcomes. RESULTS: Findings suggest that cumulative childhood maltreatment is associated with an increased probability of TDV occurrence through alexithymia. Cumulative childhood maltreatment and alexithymia are also associated with TDV chronicity and TDV-related PTSD symptoms. Notably, cumulative childhood maltreatment is associated with higher levels of alexithymia among adolescent victims of TDV, which, in turn, predicts higher TDV chronicity and TDV-related PTSD symptoms. LIMITATIONS: This study relied on abbreviated measures and did not include all forms of child maltreatment (e.g., emotional and physical neglect). CONCLUSIONS: Promoting emotional awareness and identification among youth victims of child maltreatment could reduce the risk of TDV occurrence, TDV chronicity, and TDV-related PTSD symptoms.
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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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".