The Mediation Role of Self-Esteem for Self-Stigma on Quality of Life for People With Schizophrenia: A Retrospectively Longitudinal Study
Bibliographic record
Abstract
Background: Among patients with schizophrenia, there is evidence of a negative association between self-stigma and subjective quality of life (SQoL), and self-esteem was an important mediator in the association. We attempted to use a longitudinal study to investigate the aforementioned mediation on a sample with schizophrenia. Methods: We used longitudinal data retrieved from medical records of a psychiatric centre between June 2014 and December 2015. In the data, we retrieved information of self-stigma using the Self-Stigma Scale — Short; SQoL, using the WHO questionnaire on the Quality of Life — Short Form; and self-esteem, using the Rosenberg Self-Esteem Scale. All the measures were evaluated five times. Linear mixed-effect models accompanied by Sobel tests were used to tackle the mediating effects. Results: Data from 74 patients (57 males) with schizophrenia were eligible for analysis; their mean ( SD) age was 39.53 (10.67); mean age of onset was 22.95 (8.38). Self-esteem was a mediator for patients in physical ( p = .039), psychological ( p = .003), and social SQoL ( p = .004), but not in environment SQoL ( p = .051). Conclusion: Based on our findings, mental health professionals could tailor different programs to patients with schizophrenia, such as self-stigma reduction and self-esteem improvement programs. However, treatment as a whole should be sensitive to both self-stigma and self-esteem. Also, we should consider individuals’ health and wellbeing from social perspectives of disability rather than the medical model of disability emphasising symptoms and medications.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".