Is antidepressant use associated with difficulty identifying feelings? A brief report.
Bibliographic record
Abstract
Studies on the subjective effects of antidepressants suggest that they may not only improve depressed mood, but as an adverse effect also cause "emotional blunting." This phenomenon is poorly understood and little studied. The aim of this study was to examine the association of serotonergic antidepressant use and subjective emotional awareness. Emotional awareness was assessed using the Difficulty Identifying Feelings subscale from the 20-Item Toronto Alexithymia Scale. Fifty-seven individuals on antidepressant medication and 441 controls were compared. The effects of sex, age, education, as well as current depressive symptoms were controlled for. After controlling for selected variables, the antidepressant group scored higher in subjective difficulty identifying feelings, compared to controls. (p = .043, Adjusted means by Group 14.2 vs. 15.5, 95% confidence interval for mean difference between Groups 0.04-2.5). Serotonergic antidepressant use may be associated with difficulty identifying feelings. Future studies with a longitudinal setting are warranted to clarify causality. (PsycINFO Database Record
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".