Le rôle du soutien social, du fardeau familial et de la satisfaction des services dans la détresse psychologique et la qualité de vie des familles de personnes souffrant de schizophrénie
Bibliographic record
Abstract
This study conducted with a sample of 71 families of individuals suffering from schizophrenia, examines by means of regression analysis, the link between support that families receive from their social network, satisfaction with mental health services, family burden and their psychological distress and quality of life. These analyses reveal that three variables predict 31 % of the variance associated with psychological distress. These variables are : obtaining counselling and advisory guidance from their network, the burden associated with daily-living and the satisfaction of services. Five variables account for 63 % of the quality of life. More specifically, counselling and advisory guidance as well as reassurance of their worth by members of their network, the burden felt during daily-living, the burden associated with difficult behavior and finally, satisfaction with services. The components of social support are the strongest predictors associated with mental health of families of individuals suffering from schizophrenia.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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; both teacher heads agree on what is shown here.
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".