Effect of Adding Physical Exercises to Cognitive Rehabilitation in Post-Ischemic Stroke Patients
Bibliographic record
Abstract
Cognitive impairment is a prevalent concern in post-ischemic stroke patients. And independently linked to lower quality of life, increased mortality rates as well as increases the risk of falling, institutionalization, and healthcare costs. Therefore, multicomponent rehabilitation is necessary for managing it. Aim of the research: To evaluate the effect of adding physical exercises to cognitive rehabilitation in post-ischemic stroke patients. Research design: A quasi-experimental research design (study/ control) was utilized in the current research. Research setting: The current research was conducted at intermediate stroke department and follow-up at rehabilitation out-patient clinic. Sample: purposive sample of 90 patients (male and female) with cognitive impairment after being diagnosed with ischemic stroke were recruited into three groups with equal rate; the intervention groups (cognitive training = 30, and combined physical and cognitive training =30) and one control group = 30. Tools: structured interview questionnaire, Montreal cognitive assessment scale and modified Rankin Scale. Results: The study findings showed a significant improvement in the cognitive functions from moderate impairment at baseline for combined physical and cognitive training and cognitive training groups (80% and 73.3 %) respectively to mild impairment post six-months intervention (100 % and 76.6 %) respectively. Conclusion: Adding physical exercises to cognitive rehabilitation intervention induced greater advantages on cognitive function and disability levels among post-ischemic stroke patients. Recommendation: Establishing training programs for patients that contain a multi-component intervention and cognitive training for PSCI.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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".