Relation between post-stroke satisfaction with time use, perceived social support and depressive symptoms
Bibliographic record
Abstract
PURPOSE: To determine if perceived level of social support and number of depressive symptoms differentiates those who are satisfied with their time use post-stroke from those who are dissatisfied. METHOD: Secondary analysis of data of 54 subjects grouped by yes/no responses to 'Are you satisfied with how you spend your time?' Perceived social support and number of depressive symptoms were evaluated using the MOS Social Support Scale and Geriatric Depression Scale respectively. RESULTS: Time use satisfaction was high (64.8%). Dissatisfied subjects reported lower affectionate support and fewer positive social interactions (t < -2.70, p < 0.009) as well as higher levels of depression (t = 2.06, p = 0.05). Dissatisfied subjects were more likely to endorse only three Geriatric Depression Scale items (i.e., 'dropped activities', 'often bored', and 'often felt helpless') (chi2(1) > 7.27, p < 0.007). CONCLUSIONS: Persons post-stroke who are dissatisfied with their time use may not be depressed but may benefit from participation in meaningful social occupations.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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".