The effect of 12 weeks of Baduanjin exercise on cognitive function, lower limb balance and quality of life of the elderly with mild cognitive impairment: a randomized controlled trial
Bibliographic record
Abstract
BACKGROUND: Mild cognitive impairment (MCI is called the precursor state of Alzheimer disease (AD) Has a great impact on people’s health.While there is accumulating evidence supporting Baduanjin exercise has an effect on MCI, few studies have objectively assessed these specific benefits, particularly related to the Baduanjin exercise and MCI. This study aims to explore the effect of Baduanjin on cognitive function, lower limb balance function, and quality of life of the elderly with mild cognitive impairment. A randomized controlled trial study, with pre and post-testing of two parallel groups (BEG, LWG). Sixty participants with MCI were allocated to three groups: the Baduanjin exercise group (BEG=30); and the Leisure walking group (LWG=30).METHODS: In this randomized controlled trial, 60 participants with MCI were randomly allocated in a 1:1 ratio to 12-week Baduanjin exercise group and 12-week leisure walking group, with 30 cases in each group. MMSE(mini-mental state examination scale), MoCA (Montreal cognitive assessment), BBS (Berg Balance Scale), TUG (Timed Up and Go Test), 10MWT (10-meter walking test), SF-12 (12-Item Short Form Survey) was used to assess the cognitive function, the lower limb balance function and quality of life at second times (before and after the intervention). The paired t-test and an independent t-test (with a 95% confidence interval) was used to compare the outcome variables of the two groups.RESULTS: There were no significant differences between the Baduanjin exercise and the control group at baseline in demographic. Compared to participants in the leisure walking group, participants in the Baduanjin group had a significantly improvement in the Cognitive function (MMSE -3.56 [95% CI, -4.65to-2.48], P<0.05) and MoCA(-1.68 [95% CI,-2.85to-0.52], P<0.05); Baduanjin exercise group shows significantly improvement in the lower limb balance function (BBS -4.73 [95% CI, -5.87to-3.59], P < 0.05); TUG (0.52 [95%CI, 0.42 to 0.61], P < 0.05); 10MWT(-0.24 [95CI, -0.31to-0.16], P < 0.05);Baduanjin exercise group have great effect on quality of life (PCS -1.94 [95% CI, -2.89to-1], P < 0.05) and MCS (-1.8 [95%CI,-2.86 to-0.75], P < 0.05, increased from 59.39±2.41 to 62.65±1.56, P < 0.05;) In addition, after the intervention of Baduanjin, there is a significant positive correlation between Lower Limb Balance (BBS) and the improvement of Cognitive Function (MMSE) Score (r=0.328, P<0.05). A significant positive correlation between Lower Limb Balance (10MWT) and the improvement of Cognitive Function (MMSE) score (r=0.366, P<0.05). Meanwhile, the change of Quality of life (MCS) was positively correlated with Cognitive Function (MoCA)improvement (r=0.593, P<0.01).CONCLUSIONS: Baduanjin exercise appears to be a feasible and acceptable intervention to improve the cognitive function and lower limb balance function and quality of life of the elderly with MCI among older adults. Our findings emphasize the significance of Baduanjin exercise into elder health management.Feasibility of the approach for a large scale RCT was also confirmed.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".