Anorexia Nervosa in Comorbidity With Borderline Personality Disorder in Adolescence: A Specific Clinical Endophenotype?
Bibliographic record
Abstract
OBJECTIVE: Anorexia nervosa and borderline personality disorder are often associated and share some core elements, including emotional dysregulation and affective instability. Nevertheless, the association of these two conditions in adolescence is still little studied. METHOD: The present study aims at investigating, through a multidimensional assessment, the psychopathological characteristics of adolescents affected by anorexia nervosa in comorbidity with borderline personality disorder on a sample of 127 female adolescents, through the comparison with adolescents with borderline personality disorders and adolescents with anorexia nervosa. All participants completed a validated psychometric battery assessing alexithymia (Toronto Alexithymia Scale-20), depression (Children's Depression Inventory), psychological symptoms (Symptom Checklist-90-Revised) and psychological symptoms relevant in eating disorders (Eating Disorders Inventory-3). RESULTS: Adolescents with anorexia nervosa in comorbidity with borderline personality disorder show intermediate features between the two disorders individually in the general psychopathological profile, but a peculiar psychological profile regarding the eating symptomatology, with worse features compared to adolescents with the sole anorexia nervosa. CONCLUSIONS: Results suggest a peculiar clinical and psychopatological endophenotype in adolescents with anorexia nervosa in comorbidity with borderline personality disorders, indicating the need to define specific and tailored treatment for this population.
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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 | 0.001 |
| 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".