The effect of social support and gender on depression and quality of life in patients with schizophrenia
Bibliographic record
Abstract
Social support buffers against stressful life events, increases adherence to medical treatments and improves recovery from medical illness.The quality of life of patients suffering from schizophrenia is dependent on amount of social support to a great extent.Also rates of depression are high in schizophrenia patients.So we undertook this study among 68 patients to understand the relationship of social support and gender with depression and quality of life amongst the patients of schizophrenia.The scales used were the Multidimensional Scale of Perceived Social Support (MSPSS), Calgary Depression Scale for Schizophrenia and the WHO Quality of Life-Bref Scale.It is observed that means score of depression was higher in low social support group and amongst females.Similarly QOL was poorer amongst low social support groups and females.The difference was statistically significant only in QOL scores in social support group and depression scores in gender group.Thus the study concludes that social support has an impact on depression and quality of life amongst the patients of schizophrenia.
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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 | 0.000 | 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".