Depression in the active phase of paranoid schizophrenia in relation to age of onset and sex
Bibliographic record
Abstract
Introduction Depression is often observed in schizophrenia, in all phases of the disorder. Age of illness onset and sex have been found to correlate with depressive symptomatology in many but not all studies. Aims In the present work the relation between depressive symptoms and age of onset and sex was investigated, in a sample of patients with paranoid schizophrenia. Methods Eighty-eight (88) patients with paranoid schizophrenia according to DSM-IV-TR criteria were examined, 21 of which became ill at ≥35 years of age (late onset), whereas 60 had age of onset < 30 years (young onset). During the active phase the Calgary Depression Scale for Schizophrenia (CDSS) was applied. Comparisons were performed by using the two-tailed Wilcoxon rank-sum and Chi-squared tests. Results The percentage of patients with depression (CDSS > 6) in the whole sample was 27.2%. There was a trend for higher scores in early awakening in late onset patients (P = 0.060). In men, there was a trend for heavier depression in late onset patients, and higher scores in early awakening (P = 0.082, 0.019, respectively). In young onset patients, there was a trend for heavier symptomatology in women compared with men, and heavier pathological guilt (P = 0.073, 0.007, respectively), whereas in late onset patients, there was a trend for heavier self depreciation in men (P = 0.072). Conclusions Although the frequency of depression does not seem to be influenced by age of onset or sex, more subtle differences are found in the severity of certain depressive symptoms, in relation to these factors, possibly warranting further investigation. Disclosure of interest The authors have not supplied their declaration of competing interest.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| 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) | 0.002 | 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".