Determinants of quality of life in first‐episode psychosis
Bibliographic record
Abstract
OBJECTIVE: To assess patient and/or illness characteristics associated with aspects of quality of life (QOL) in first-episode psychosis (FEP). METHOD: Patient characteristics, symptom ratings and Wisconsin QOL scale (client version) were assessed. Data were analysed with correlation coefficients and a hierarchical regression analysis. RESULTS: Patients presented with varying levels of QOL on different domains. The level of 'general satisfaction' was related to age of onset and social premorbid adjustment; 'weighted index of QOL' to social premorbid adjustment and inversely to educational premorbid adjustment; 'social relations' inversely to duration of untreated psychosis (DUP), length of prodrome and negative symptoms; 'psychological well-being' inversely to depression and educational premorbid adjustment; 'activities of daily living' to social premorbid adjustment and inversely to negative symptoms; and 'outlook on symptoms' to level of depression. CONCLUSION: Domains of self-rated QOL in FEP patients are differentially associated with malleable and non-malleable aspects of patient and illness characteristics.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".