Mastery and Stigma in Predicting the Subjective Quality of Life of Patients With Schizophrenia in Taiwan
Bibliographic record
Abstract
A total of 199 outpatients with schizophrenia are assessed in this study for their sense of mastery, stigma, social support, symptom severity, and quality of life (QOL), with path models being used to test the direct and indirect effects of these factors on the physical, psychological, social, and environmental QOL domains. Symptoms, stigma, mastery, and social support are found to be key direct predictors for all 4 QOL domains, with mastery having the greatest direct effect on QOL, whereas stigma has the greatest indirect effect, although mediated by mastery and social support. Such results imply that in nonwestern cultures, mastery and stigma are still crucial factors affecting the QOL of patients with schizophrenia. Our results highlight the importance of enhancing the mastery of such patients and reducing the associated stigma when designing treatment programs. To enhance the QOL of patients with schizophrenia, interventions which can optimize the meaningful use of time may well enhance the mastery of these patients, whereas strategies aimed at improving their ability to cope with perceived stigma, at both individual and community levels, may help to reduce the detrimental effects.
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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".