Quality of Life in Patients of Schizophrenia with or without Depression: A Comparative Study
Bibliographic record
Abstract
Background: Quality of Life (QOL) is the broad term defined as the individual perception of well being and experience of satisfaction by them under current life situation. Depression among patients with schizophrenia observed as one of the most important factor affecting the QOL and we need to further assess it. Aim and objectives: We aim to compare the quality of life in the patients of schizophrenia with depression and without depression and to assess the influence of many other variables like psychopathology and social support on QOL in patients of schizophrenia with or without depression. Methodology: The study will be conducted in psychiatry department of AVBRH, Sawangi, which is affiliated to DattaMeghe institute of Medical sciences, Wardha . We will select 120 patients who are clinically diagnosed to have schizophrenia according to the ICD-10 then will further assess them on Calgary Depression Rating Scale for Schizophrenia (CDSS) for dividing them into two groups i.e. with depression and without depression schizophrenia. Then we will be applying Positive and Negative Syndrome Scale for Schizophrenia (PANSS) for psychopathology, WHO QOLscale(WHOQOL-BREF) to assess qol and then Social Support Questionnaire (SSQ) for the perceived social support. Later comparison will be made between both the groups to see which group had more influence on quality of life using appropriate statistical methods. Expected results: The outcome of this study will help in correlating how significantly the QOL in the clinically diagnosed patients of schizophrenia with depression and without depression gets affected and we will be able to answer the role of QOL , positive and negative symptoms and social support in the patients of schizophrenia with depression and without depression. Conclusion: With this study we will be able to correlate how significantly depression, psychopathology, social support can affect the QOL in 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".