Pathological personality explains individual differences in global emotion dysregulation within the pathway between child maltreatment and severe depressive symptoms.
Bibliographic record
Abstract
OBJECTIVE: Global emotion dysregulation mediates the relationship between child maltreatment and severe depressive symptoms; however, there is a lack of research on maladaptive personality traits and their contribution to individual differences in global emotion dysregulation within this conceptual model. The present study tested a preliminary serial mediation model where maladaptive personality traits and global emotion dysregulation mediate the relationship between child maltreatment and severe depressive symptoms. METHOD: = 36.5 years; 54% females) were assessed for maladaptive personality traits (Personality Inventory for Diagnostic and Statistical Manual of Mental Disorders [5th ed.] Brief Form), global emotion dysregulation (Difficulties in Emotion Regulation Scale-Short), childhood trauma (Childhood Trauma Questionnaire), and depressive symptoms (Patient Health Questionnaire-9). RESULTS: = 0.09, 95% confidence intervals [0.326, 0.694] after controlling for age, gender, and remaining types of child maltreatment. CONCLUSIONS: Findings support the view that maladaptive personality traits shed important insights on individual differences in global emotion dysregulation, and this information could aid clinical formulation and treatment of childhood adversity-related psychopathology. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
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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 | 0.008 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".