The impact of aerobic combined strength and balance exercise on cognitive function in patients with cognitive impairment no dementia
Bibliographic record
Abstract
Objective To evaluate the effects of aerobic combined strength and balance exercise on cognitive function and satisfaction in patients with cognitive impairment no dementia. Methods Four hundred and twenty patients with cognitive impairment no dementia were divided into control group (200 cases) and experimental group (220 cases) by random digits table method. The control group received general health education and rehabilitation training. The experimental group received aerobic combined strength and balance exercise. The patients were assessed with Montreal Cognitive Assessment (MoCA) to evaluate their cognition before training, as well as after training. And the patients' satisfaction with the questionnaire was evaluated. Results The total scores of MoCA, scores of name, attention, language, memory and directionafter training were (23.47±2.38), (2.77±0.42), (5.09±0.86), (2.50±0.65), (3.42±0.68), (5.03±0.10) points in the experimental group, and (21.20±2.55), (2.31±0.76), (4.71±1.10), (2.35±0.70), (2.23±0.81), (4.48±0.96) points in the control group, and there were significant differences,P 0.05. The scores of satisfaction in the experimental group was significantly higher than that in the control group: (49.33±1.57) points vs. (48.20±2.14) points,P<0.01. Conclusion The application of aerobic combined strength and balance exercise could improve the cognitive function and patients' satisfaction. Key words: Stroke; Cognitive impairment with no dementia; Aerobic exercise; Strength exercise; Cognitive 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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".