Socioeconomic-Status and Mental Health in a Personality Disorder Sample: The Importance of Neighborhood Factors
Bibliographic record
Abstract
This cross-sectional study examined the associations between neighborhood-level socioeconomic-status (NSES), and psychosocial functioning and personality pathology among 335 adults drawn from the Collaborative Longitudinal Personality Disorders Study. Participants belonged to four personality disorder (PD) diagnostic groups: Avoidant, Borderline, Schizotypal, and Obsessive Compulsive. Global functioning, social adjustment, and PD symptoms were assessed following a minimum two-year period of residential stability. Residence in higherrisk neighborhoods was associated with more PD symptoms and lower levels of functioning and social adjustment. These relationships were consistent after controlling for individual-level socioeconomic-status and ethnicity; however, the positive association between neighborhood-level socio-economic risk and PD symptoms was evident only at higher levels of individual-level socio-economic risk. Our findings identify NSES as a candidate for explaining some of the variability in symptoms and functioning among PD individuals.
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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 | 0.003 | 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 | 0.000 |
| 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".