Alexithymia as a mediator of the associations between child maltreatment and internalizing and externalizing behaviors in adolescence
Bibliographic record
Abstract
Child maltreatment is a global concern that profoundly affects individuals throughout their lives. This study investigated the relationships between various forms of child maltreatment and behavior problems involving internalization and externalization during adolescence. Data obtained from a diverse sample of 1802 Canadians aged 14-18 years was used to examine the mediating role of alexithymia-a difficulty in recognizing and expressing emotions-in these associations. Results indicated that adolescents who experienced sexual abuse, emotional abuse, and exposure to intimate partner violence (IPV) in their childhood exhibited higher levels of alexithymia, which was correlated with elevated levels of both internalizing and externalizing problems. Physical abuse and parental neglect were only associated with externalizing problems. Gender differences also emerged, with gender-diverse adolescents reporting a higher prevalence of maltreatment, alexithymia, and behavior problems compared with their peers. However, alexithymia's mediating role was consistent across genders. Overall, this study highlights the intricate relationships between child maltreatment, alexithymia, and adolescent behavior problems. The findings of this study how different forms of child maltreatment significantly shape behavioral outcomes and indicate the importance of interventions in enhancing emotional awareness and expression in adolescents with a childhood history of maltreatment.
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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 | 0.001 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".