Depressão na esquizofrenia: prevalência e relação com a qualidade de vida
Bibliographic record
Abstract
This study aimed to investigate the prevalence of depression in schizophrenia and associated factors, including quality of life. A cross-sectional study was conducted with 150 outpatients. The Calgary Depression Scale for Schizophrenia measured depression, and the Quality of Life Scale-Brazil measured quality of life. Major depression was found in 56% of patients with schizophrenia. Patients with major depression had low quality of life according to both the global scale and the occupational subscale. Global quality of life was important for separating the decision-tree statistical analyses. In patients with low quality of life, three factors were associated with depression: presence of schizophrenic symptoms, number of medications, and lack of household activities. In patients with better quality of life scores, only duration of the illness was significant. The study shows a high prevalence of depression in schizophrenia, besides highlighting its repercussions on quality of life. When evaluating quality of life, the presence of depression should be taken into consideration.
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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 | 0.001 |
| 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) | 0.001 | 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".