Bibliographic record
Abstract
OBJECTIVE: To determine the prevalence, psychiatric comorbidity and suicidal ideation associated with co-occurring non-affective psychosis and panic attacks, compared with non-affective psychosis without panic attacks, in the general population. METHOD: Data were drawn from the National Comorbidity Survey (n = 8098). Statistical analyses were used to identify differences in sociodemographic characteristics, psychiatric comorbidity, suicidal ideation, and familial psychopathology between those with non-affective psychoses with and without panic, as well as to identify correlates of non-affective psychosis and panic. RESULTS: Co-occurring panic attacks and non-affective psychosis, compared with non-affective psychosis without panic, was associated with elevated psychiatric comorbidity and increased odds of suicidal ideation. CONCLUSION: Consistent with clinical findings, these data suggest that panic attacks commonly co-occur with psychosis in the community. Results indicate that the co-occurrence of panic and psychosis is associated with increased likelihood of psychiatric comorbidity and suicidality. These findings need replication.
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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 | 0.000 | 0.000 |
| 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) | 0.003 | 0.001 |
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; both teacher heads agree on what is shown here.
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".