Childhood Traumas and Attachment Style - Associated Depression Symptoms: The Mediator Role of Alexithymia
Bibliographic record
Abstract
OBJECTIVE: The aim of this study was to investigate the mediator role of alexithymia and its relationship with childhood traumas (sexual abuse, physical abuse, emotional abuse, emotional neglect, physical neglect) and attachment style (anxiety and avoidance dimensions of attachment) associated depression symptoms in adulthood. METHOD: The sample of this study included 417 undergraduate university students from different departments that studied at Hacettepe University during the 2012-2013 school years with a final analysis done over 369 participants. The Demographic Information Form, Experiences in Close Relationship Inventory-II (ECR-R), Childhood Trauma Questionnaire (CTQ), Toronto Alexithymia Scale (TAS-20), and Beck Depression Inventory (BDI) were administered to the undergraduate students who participated in this study. Mediator analyses were applied to the data. RESULTS: The results revealed that the total score of the Toronto Alexithymia Scale had a partial mediating role in the relationship of childhood traumas (the total score of Childhood Trauma Questionnaire), childhood emotional abuse and emotional neglect with depressive symptom levels in university students. Besides, the total score of the Toronto Alexithymia Scale had a full mediating role in the relationship between childhood physical neglect and depressive symptom levels in adulthood. Additionally, it was found that the total score of the Toronto Alexithymia Scale had a partial mediating role between the anxiety dimension of the attachment and the depressive symptom levels. CONCLUSION: This study revealed that alexithymia should be considered as a significant variable in the relationship of childhood traumas and attachment patterns with depression symptoms in adulthood.
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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 | 0.000 | 0.001 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".