Anger attacks in seasonal affective disorder
Bibliographic record
Abstract
Previous research has linked aggression especially anger attacks with depression. The objective of the present study was to examine the prevalence and clinical picture of anger attacks in seasonal affective disorder (SAD) in comparison to non-seasonal depression. Thirty-six SAD patients and 24 non-seasonally depressed controls were included in this evaluation. Anger attacks were assessed with the Anger Attacks Questionnaire. The prevalence of anger attacks did not differ statistically significantly between seasonally and non-seasonally depressed subjects. However, the monthly number of anger attacks was significantly higher in SAD patients (p=0.009) and they presented with more vegetative symptoms and behavioural outbursts during the anger attacks (p=0.006). SAD patients with anger attacks had significantly lower age of onset (p=0.021) and obtained lower global seasonality scores than SAD patients without anger attacks (p=0.001). Anger attacks are experienced as particularly intense in SAD patients and seem to contribute considerably to their symptomatology.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".