Relationship between quality of life and clinical factors in inpatients with schizophrenia
Bibliographic record
Abstract
OBJECTIVE: The purpose of this study was to clarify the relationship between quality of life (QOL) and clinical factors in inpatients with schizophrenia. METHODS: Subjects were 50 hospitalized patients with schizophrenia. Their mean age was 56.48 (Standard Deviation=11.93) years. Japanese version of the schizophrenia Quality of Life Scale (JSQLS) and Subjective Well-being under Neuroleptic drug Treatment Short form, Japanese version (SWNS-J) were used to assess subjective QOL, and Mini Mental State Examination-Japanese was used to evaluate cognitive function. Japanese version of the Calgary Depression Scale for Schizophrenia (JCDSS), Brief Psychiatric Rating Scale, and Drug-Induced Extrapyramidal Symptoms Scale were used to assess depression severity, psychotic symptoms, and drug-induced extrapyramidal symptoms, respectively. Stepwise regression analyses were conducted to find factors influencing JSQLS and SWNS-J. RESULTS: JCDSS was a predictor of two scales of JSQLS, and JCDSS also predicted SWNS-J Total and it's two subscales. However, other clinical factors were not related to JSQLS and SWNS-J. CONCLUSION: The results indicate that treating depressive symptoms may lead to improvement of subjective QOL in inpatients with schizophrenia. J. Med. Invest. 69 : 80-85, February, 2022.
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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 | 0.005 | 0.006 |
| 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 | 0.001 |
| 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".