From Trauma Exposure to Depression: An Evaluation of Alexithymia Assessed via Auditory-Affective Perception and Interpersonal Problems as Potential Mediators
Bibliographic record
Abstract
However, to date, no studies have tested a comprehensive model of the relationships among all these variables.Alexithymia is associated with many psychological disturbances; specifically, exposure to trauma is documented as a strong contributing factor to development of alexithymia.Clinical understanding currently posits that those exposed to trauma cannot make sense of, and lack the vocabulary to articulate and make sense of, the experiences, including the powerful and sometimes overwhelming feelings involved -thus unresolved trauma at any age can be associated with alexithymia (no words for feelings) [7].The link between repeated exposure to trauma in childhood (i.e.physical, sexual, and emotional abuse) and alexithymia is also well documented.This association has been attributed to a combination of factors including the vulnerable developmental stage of Abstract Objectives: Alexithymia involves difficulty identifying and describing emotions and has been linked to a variety of psychological problems, particularly exposure to trauma, interpersonal difficulties, and depression.Currently, alexithymia is most commonly assessed through self-report questionnaires.A neuropsychological test may be a more valid assessment of alexithymia because it uses a performance-based design and focuses on the underlying cognitive process in question: affective-processing.This impaired processing may be useful in testing an explanatory model for the relationship between trauma exposure and the subsequent development of alexithymia, interpersonal problems, and depression.Participants and methods: Fifty-three undergraduate students pre-screened for trauma exposure, were given questionnaires measuring alexithymia, interpersonal problems, and depression, and then administered a neuropsychological test of Auditory-Affective Perception (AAP).Correlational analyses compared the neuropsychological measure with the alexithymia questionnaire.A hierarchical regression tested a meditational model.Results: Performance on the neuropsychological measure of AAP did not significantly correlate with the alexithymia questionnaire (p>0.05).Alexithymia was found to partially mediate between trauma exposure and depression (p=0.03).The over-all model was significant, F(2.50)=25.17,p<0.001, adjusted-R 2 =0.48.Conclusions: Regression analyses supported self-reported alexithymia as a partial mediator of the relationship between trauma exposure and depression, suggesting that depressive symptoms developed following trauma exposure are partially related to the development of alexithymic symptoms.AAP performance was not significantly correlated with the measure of alexithymia suggesting self-reported alexithymic symptoms are independent of the ability to recognize auditorially-presented emotions; possible explanations and theoretical implications are discussed.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".