Quality of Life in Treatment-Seeking Patients with Obsessive-Compulsive Disorder with and without Major Depressive Disorder
Bibliographic record
Abstract
OBJECTIVE: To compare the quality of life of patients with obsessive-compulsive disorder (OCD) with and without depression comorbidity. METHOD: Treatment-seeking outpatients (n = 56) with OCD (n = 28) or comorbid OCD and major depressive disorder (MDD) (n = 28), matched by age, sex, and antidepressant medication use, completed a multidimensional measure of quality of life. RESULTS: Patients with comorbid OCD and MDD reported significantly greater decrements in their subjective feelings, social relations, and a composite measure of general activities (for example, overall well-being and life satisfaction) in comparison with patients with OCD without MDD. These differences were not owing to the presence of other Axis I comorbid disorders. CONCLUSIONS: Treatments addressing depression comorbidity in the context of primary OCD are required to improve the quality of life of this severely affected population of OCD sufferers.
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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 | 0.000 | 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 | 0.000 |
| 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".