Relationship of schizophrenic depressive symptoms with alexithymia and self-rating health
Bibliographic record
Abstract
Objective To explore the characteristics of depressive mood and related factors in patients with schizophrenia.Methods A total of 320 patients with schizophrenia and 98 major depression were assessed with a self-designed questionnaire,Self-Rating Depression Scale and Depression Status Inventory(SDS),Toronto Alexithymia Scale(TAS) and Self-rating Health Measurement Scale Version 1.0(SRHMS).Correlation and regression analysis were carried out.Results 304 schizophrenic patients completed questionaires,in which 140 patients had SDS total score over 40.Compared with major depressive patients,patients with schizophrenia showed significantly lower total score of SDS,scores of psych-affective symptoms and psychomotor disturbance(P0.01).There were 15 factors such as the medical burden and condition of self-related health showed significant correlation with total score of SDS in schizophrenics(r=0.133~0.479,P0.05 or P0.01).SRHMS total score,TAS total score,hospitalized times,medical burden and family history entered the regression equation for total score of SDS in patients with schizophrenia by turns.Conclusion Depressive symptoms are very common in patients with schizophrenia,and the severity is milder than that of major depression.The self-rating health,alexithymia and medical burden are responsible for the severity of depressive mood in patients with schizophrenia.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".