<p>The effectiveness of Tai Chi for short-term cognitive function improvement in the early stages of dementia in the elderly: a systematic literature review</p>
Bibliographic record
Abstract
Purpose: This systematic review examines intervention studies using Tai Chi in the early stages of dementia to determine the effectiveness of Tai Chi for the short-term improvement of cognitive functions for elderly persons with the disease. Methods: A keyword search was done in PubMed/MEDLINE, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Excerpta Medica Database (EMBASE), and Cochrane Library databases using keywords such as Tai Chi, Dementia*, and cognition. A secondary search strategy consisting of a manual search in the reference lists of selected articles was also used. Results: A total of nine studies were reviewed including six randomized controlled trials, two non-randomized controlled trials, and one non-randomized prospective study. The studies suggest Tai Chi has impacts on global cognitive functions, visuospatial skills, semantic memory, verbal learning/memory, and self-perception of memory. The effects of Tai Chi on overall cognition for people with mild cognitive impairment are comparable to those in control groups which engaged in exercise. Conclusion: The studies reviewed affirm the potential of Tai Chi to improve short-term cognitive function in the elderly at the onset of dementia. Keywords: behavioral intervention, cognition, dementia, older adult, Tai chi, systematic review
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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 | 0.006 | 0.026 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.006 |
| Bibliometrics | 0.009 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".