Maternal childhood trauma and postpartum well-being in a Turkish sample: The path from attachment to alexithymia
Bibliographic record
Abstract
Childhood traumas predispose adult individuals to develop insecure attachment styles in close relationships and alexithymia features causing limitations in emotional capacity. For new mothers, postpartum is a period in itself that may increase mood problems such as depression and anxiety and mothers may question their efficacy in their maternal role. Thus, the purpose of the current research was to examine the relationship between maternal childhood trauma, mood problems, and self-efficacy via serial mediation of insecure attachment styles and alexithymia. A sample of postpartum Turkish mothers with healthy singleton infants (N = 63, Mage = 29.19) participated in the research. Mothers filled out the Childhood Trauma Questionnaire-Short Form, the Perceived Maternal Parenting Self-Efficacy Tool, CES-Depression Scale, the State-Trait Anxiety Inventory, the Experiences in Close Relationships Inventory-II, and the Toronto Alexithymia Scale during a home visit when the infants were one month old. In statistical analyses, the PROCESS macro for serial multiple mediation was applied. The results indicated that the relationship between maternal childhood trauma and postpartum depression and anxiety was serially mediated by anxious attachment and, in turn, alexithymia. On the other hand, the serial mediator roles of insecure attachment styles and alexithymia on the relationship between maternal childhood trauma and postpartum self-efficacy were not significant; rather, the direct effect of maternal childhood trauma on postpartum self-efficacy was significant. Findings suggest anxious, rather than avoidant, attachment, and alexithymia as intervention targets to buffer the effects of maternal childhood trauma on postpartum mood problems and self-efficacy, which may consequently prevent the intergenerational transmission of risk.
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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 | 0.001 | 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) | 0.001 | 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".