The Predictive Validity of Cluster C Personality Disorders on the Persistence of Major Depression in the National Epidemiologic Survey on Alcohol and Related Conditions
Bibliographic record
Abstract
The present study examined the predictive validity of Cluster C personality disorders (CCPDs) on major depressive disorder (MDD), using Waves 1 and 2 of the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC, N = 34,653; time interval equals 3 years). Multiple logistic regression analyses were utilized to compare respondents with MDD and a concurrent CCPD to those with MDD only. Findings demonstrated that individuals with MDD and a comorbid CCPD were significantly more likely than those with MDD only to have MDD at Time 2. The presence of comorbid CCPD in individuals with MDD also predicts the subsequent occurrence of suicide attempts at Time 2 and the new onset of Axis I anxiety disorders. The chronic and enduring personality styles and interpersonal difficulties that characterize individuals with a CCPD likely lead to the exacerbation of MDD symptoms. Clinicians should be aware of the impact that CCPDs have on the outcome of MDD.
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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 | 0.015 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".