Self-Perceived ADL/IADL Function is Influenced by Residual Neurological Impairment, Aphasia, and Anxiety
Bibliographic record
Abstract
Background. Self-perceptions of performance of activities of daily living (ADL) and instrumental activities of daily living (IADL) are reduced following stroke. Research investigating contributing factors is lacking. Purpose: We examined the extent to which aphasia status, neurological impairment and poststroke depression, and anxiety contribute to self-perceived ADL/IADL function. Method: Seventy-six community-dwelling individuals at least 6 months poststroke, 44 with and 32 without aphasia, participated in the cross-sectional study. The Stroke Impact Scale (SIS) ADL/IADL domain was the primary outcome measure with aphasia status, residual neurological impairment, depressive symptoms, and anxiety as predictor variables. Findings: Aphasia status, residual neurological impairment, and anxiety were independent predictors of self-perceived ADL/IADL function, together accounting for more than half the variance. Depression was not associated with ADL/IADL. Implications: Clinician awareness of the influence of anxiety on self-perceived ADL/IADL function, particularly for people with aphasia, may lead to future interventions that improve self-perceived ADL/IADL function.
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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 | 0.001 | 0.004 |
| 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 | 0.001 | 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".