Effects of mind-body exercise on cognitive performance in middle-aged and older adults with mild cognitive impairment: A meta-analysis study
Bibliographic record
Abstract
BACKGROUND: To systematically evaluate the clinical efficacy of physical and mental exercise on cognitive performance in middle-aged people with mild cognitive impairment (MCI). METHODS: Computer searches of PubMed, Web of science, Embase, Cochrane Library, China Biomedical Literature Service, Wanfang database, China Knowledge Network, and VIP full-text database of Veep journals were conducted to obtain clinical randomized controlled trials on physical and mental exercise interventions in middle-aged and elderly people with MCI. The literature was screened according to inclusion and exclusion criteria, and the final included literature was subjected to data extraction and risk of bias assessment. Meta-analysis was performed using Review Manager 5.4.1 software, and publication bias test was performed using stata17.0 software. RESULTS: A total of 27 publications with a total of 2565 cases of elderly people with MCI were included. The control group was conventional care, health education, or blank control, and the physical and mental exercise group was exercises including Tai Chi, dance, orthopraxia, and qigong for 30 to 90 minutes each time, 3 to 6 times per week, for a total duration of 8 to 36 weeks. Meta-analysis results showed that Montreal cognitive assessment scores (mean difference [MD] = 2.33, 95% CI [1.55, 3.10], P < .00001), the mini-mental state examination score (MD = 1.73, 95% CI [0.60, 2.86], P = .003), trail making test-A score (MD = -4.00, 95% CI [-6.75, -1.25], P = .004), trail making test-B score (MD = -18.46, 95% CI [-23.87, -13.06], P < .00001), global deterioration scale score (MD = -0.72, 95% CI [-1.09, -0.34], P = .0002), Wechsler Logical Memory Scale score (MD = 2.07, 95% CI [0.03, 4.10], P = .05), berg score (MD = -0.70, 95% CI [0.32, 1.07], P < .0003), cerebrospinal fluid Tau protein level (MD = -166.69, 95% CI [-196.93, -136.45], P < .00001), and cerebrospinal fluid levels of αβ1-42 protein (MD = 180.39, 95% CI [134.24, 226.55], P < .00001). CONCLUSION: Mind-body exercise can improve cognitive performance, depressive status, and balance as well as increase αβ1-42 protein levels and decrease Tau protein levels in middle-aged and older adults with mild cognitive impairment.
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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 | 0.012 | 0.022 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.018 | 0.046 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".