Influence of Simulated Functional Task to Improve Executive Function, Functional Balance and Activities of Daily Living in Elderly People with Mild Cognitive Impairment
Bibliographic record
Abstract
Background: Elderly patients with mild cognitive impairment (MCI) have decline in executive functions, functional balance, and impact on the ability to perform activities of daily living (ADL). The simulated functional task (FcTSim) program may provide standard benefits on the cognitive function of elderly patients with MCI. Objective: This study aimed to find the effectiveness of FcTSim to improve executive functions, functional balance, and ADL in elderly patients with MCI. Study Design: A one-arm interventional study. Method: An interventional study was conducted on elderly patients with MCI and balance impairment. They were selected for the study on the basis of the Mini-Mental Status Examination score 18–23, Berg Balance Scale (BBS) score of <45 (indicate the greatest risk of falling), and age group between 65–85 years. FcTSim program was given for 4 weeks, a total of 12 sessions (3 sessions per week). Addenbrooke's Cognitive Examination-Revised (ACE-R), BBS, and Canadian Occupational Performance Measure (COPM) scales were used as the outcome measures. Results: The mean posttest scores of ACE-R was 11.53 ± 3.62; P < 0.00; 95% confidence interval (CI): 9.52 to 13.54, BBS 8.80 ± 2.36; P < 0.00; 95% CI: 7.49 to 10.11, it shows significant difference and COPM performance 1.00 ± 0.84; P < 0.00; 95% CI: 0.53 to 1.46 satisfaction 1.53 ± 0.91; P < 0.00; 95% CI: 1.02 to 2.04. Conclusion: The findings of this study suggest that after 4 weeks encompassing 12 sessions of FcTSim, the elderly patients with MCI showed improvement in their executive functions, functional balance, and ADL such as eating, bathing, dressing, and grooming.
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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 | 0.000 | 0.000 |
| 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) | 0.000 | 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".