Positive and Negative Activation in the Mood Disorder Questionnaire: Associations With Psychopathology and Emotion Dysregulation in a Clinical Sample
Bibliographic record
Abstract
The Mood Disorder Questionnaire is a screening measure for bipolar disorder, previously found to comprise separate Positive and Negative Activation subscales. We sought to replicate these factors and examine their associations with a range of psychopathology. To further explicate the nature of Negative Activation, we examined associations with the Difficulties in Emotion Regulation Scale, a measure of emotion dysregulation. The sample consisted of 1,787 participants from an outpatient treatment facility. Confirmatory factor analysis replicated the existence of Positive and Negative Activation subscales. Logistic regressions, as hypothesized, found that Positive Activation was positively associated only with bipolar disorder, while Negative Activation was associated with almost all disorders. The Impulse and Goals subscales of the Difficulties in Emotion Regulation Scale were uniquely associated with Negative Activation, suggesting it may specifically assess impulsive behavior in emotional situations. The findings suggest that it may be important to attend to both Mood Disorder Questionnaire subscales.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".