Major Depression in Patients with Borderline Personality Disorder: A Clinical Investigation
Bibliographic record
Abstract
OBJECTIVE: Borderline personality disorder (BPD) is characterized by a high frequency of comorbidity with major depressive disorder (MDD). This study aimed to compare the clinical characteristics of 2 groups of patients with MDD: those with concomitant BPD and those with other concomitant personality disorders. METHODS: We assessed 119 outpatients, using a semistructured interview for demographic and clinical features, the Structured Clinical Interview for DSM-IV, Hamilton anxiety and depression scales, the Zung Self-Rating Depression Scale (ZSDS), the Social and Occupational Functioning Assessment Scale (SOFAS), the Sheehan Disability Scale, and the Revised Childhood Experiences Questionnaire. We performed a regression analysis, using the number of criteria for BPD as the dependent variable. RESULTS: Severity of BPD was positively related to the ZSDS score, to self-mutilating behaviours, and to the occurrence of mood disorders in first-degree relatives; it was negatively related to the SOFAS score and age at onset of MDD. CONCLUSIONS: Patients with comorbid MDD and BPD present differential characteristics that indicate a more serious and impairing condition with a stronger familial link with mood disorders than is shown by depression patients with other Axis II codiagnoses.
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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 | 0.001 | 0.000 |
| 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 | 0.001 |
| 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 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".