Examining the Relationship of Activity Performance, Life Satisfaction and Mental Condition in Patients with Schizophrenia
Bibliographic record
Abstract
Purpose: This study was conducted to examine activity performance, life satisfaction, and mental status of patients with schizophrenia. Materials and Method: 45 male and 36 female, 81 patients with schizophrenia in total participated to the study. Activity performances were evaluated using the Canadian Occupational Performance Measure (COPM), and life satisfactions were evaluated using the Satisfaction Life Scale (SWLS). Depression evidence were determined using the Calgary Depression Scale For Schizophrenia (CDSS) and mental and somatic anxiety evidence were determined by using the Hamilton Anxiety Rating Scale (HAM-A). Results: Patients’ average ages were recorded as 35.35±11.87 and education years were recorded as 9.43±3,87. Positive correlations were found using CDSS between HAM-A mental (p=0.001, r=0.739) and somatic (p=0.001, r=0.628) evidences. Negative correlations were found between life satisfaction with depression (p=0.001, r=- 0.492) and anxiety mental (p=0.001, r=-0.561) and somatic (p=0.001, r=-0.43) evidences. Differently, there weren’t found any significant relationship between activity performance and life satisfaction, and between anxiety and depression (p>0.05). Conclusion: In light of the data obtained from the study the relationship between life satisfaction and mental state of the individual has been revealed. By the Occupational therapy perspective while the specific programs are planned for the mental state of patients with schizophrenia, taking into account the individual’s life satisfaction will be valuable.Despite these findings, further studies are needed which includes larger samples with individuals with schizophrenia and controlled group
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".