FEAR OF DYING IN PANIC ATTACKS PREDICTS SUICIDE ATTEMPT IN COMORBID DEPRESSIVE ILLNESS: PROSPECTIVE EVIDENCE FROM THE NATIONAL EPIDEMIOLOGICAL SURVEY ON ALCOHOL AND RELATED CONDITIONS
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
CONTEXT: As a group, comorbid anxiety disorders among depressed persons have consistently been found to increase risk of suicide attempt (SA). Growing evidence supports the link between panic attacks (PAs) and suicidality, but prospective evidence is limited and the nature of the linkage remains unclear. The positive-feedback model of suicide suggests that PAs eliciting catastrophic cognitions may drive SA. OBJECTIVE: To prospectively examine the relationship between PAs, panic symptoms and suicidality in individuals meeting DSM-IV criteria for past-year major depressive episodes in a large epidemiological study. METHODS: In data on 2,864 participants of the National Epidemiological Survey on Alcohol and Related Conditions (NESARC) wave 1 and 2 surveys with depressive disorders, the associations of PAs and panic symptoms with subsequent suicidal ideation (SI) and SAs were assessed using logistic regression. RESULTS: Past-year PAs in wave 1 significantly increased odds for subsequent SI and attempt in the 3-year follow-up interval; however, in multivariate analyses, PAs were not a significant predictor, but PAs featuring fear of dying were. Further, among subjects with PAs, fear of dying during a PA increased the odds of subsequent SA sevenfold, even after controlling for comorbid disorders, demographic factors, and other PA symptoms. CONCLUSION: PAs characterized by prominent morbid catastrophic cognitions may mediate the transition to SIs and SAs in subjects with depressive episodes. Presence of these symptoms in clinical settings may serve as a warning sign for future suicidality.
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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 | 0.002 |
| 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 it