The role of activity restriction in poststroke depressive symptoms.
Bibliographic record
Abstract
OBJECTIVE: Little is known about the determinants of poststroke depression. The Activity Restriction Model of Depressed Affect (ARMDA) may be helpful in understanding poststroke depression but has never been tested in that context. The goal of this study was to examine the relation between activity restriction and depressive symptoms in stroke survivors during the period following discharge from the hospital. METHOD: Participants (N = 197) were assessed on three occasions: (1) time 1 (T1), 3 weeks following discharge; (2) time 2 (T2), 3 months after discharge; and (3) time 3 (T3), 6 months after discharge. RESULTS: Although both stroke severity and activity restriction were significantly related to depressive symptoms, the relation between stroke severity and depression was no longer significant after controlling for activity restriction. Moreover, restrictions in daily activities and social roles were both related to depressive symptoms, but these relations were found to vary during the course of the period following discharge. CONCLUSIONS: These findings support the ARMDA and have practical implications for the prevention of poststroke depression.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.001 | 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".