Emotion Regulation and Mental Representation of Attachment in Patients With Systemic Lupus Erythematosus
Bibliographic record
Abstract
Mental representations of attachment and emotion regulation influence individual patterns of stress response and vulnerability to illness. The present study investigates the adult attachment states of mind of 40 women with systemic lupus erythematosus (SLE) using the Adult Attachment Interview. We also assessed alexithymia using the Toronto Alexithymia Scale and dissociation using the Dissociative Experiences Scale. The results showed a high prevalence of the unresolved state of mind (13 patients, 32.5%) and the entangled state of mind (10 patients, 25%). The alexithymia score also varied significantly as a function of the mental representation of attachment and was modulated by amnestic dissociation. These findings suggest that adult attachment in patients with SLE influences the presence of alexithymic features. Moreover, these also indicate that dissociative states mediate the perception of painful memories and feelings, thus contributing to the partial avoidance of emotions and the failure to fully experience and recognize them. The clinical implications of these findings are also discussed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| 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 | 0.000 | 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".