"Eating Me Up from Inside": A Pilot Study of Mentalization of Self and Others and Emotion Regulation Strategies among Young Women with Eating Disorders.
Bibliographic record
Abstract
BACKGROUND: We examined the relationship between general ability of mentalization, the specific aspect of affective mentalizing of self and others, emotion regulation strategies, and eating disorder (ED) symptoms. METHOD: Twenty-five female adolescent and young adult inpatients with EDs, and 22 healthy subjects, were administered a semi-structured interview - the Reflective Function (RF) scale, self-rating scales assessing alexithymia, emotion regulation, depression and ED symptomatology, and a neurocognitive measure assessing Theory of Mind. RESULTS: Participants with EDs presented lower levels of RF regarding the self and higher levels of alexithymia, using more emotional suppression and less cognitive reappraisal than controls. Elevated levels of general RF and self RF and attenuated alexithymia, along with elevated cognitive reappraisal and attenuated emotional suppression, were correlated with attenuated ED symptoms. Comorbidity with depressive symptoms predicted greater ED symptomatology. CONCLUSIONS: High mentalization may serve as a coping mechanism to attenuate ED symptoms.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.002 | 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".