P2‐013: THE EFFECTS OF A ‘COGNITION PROTECTING TAI CHI’ (CPT) EXERCISE PROGRAM ON COGNITION, MOODS, BEHAVIOURAL AND PSYCHIATRIC SYMPTOMS, AND ACTIVITIES OF DAILY LIVING IN OLDER PEOPLE WITH MILD DEMENTIA
Bibliographic record
Abstract
A set of Tai Chi program named ‘Cognition Protecting Tai Chi’ (CPT) has been specially designed for older people with cognitive impairments by our research team. The aim of this study is to assess the effects of a bespoke ‘Cognition Protecting Tai Chi’ (CPT) program on older patients with mild dementia. Eighty older patients with mild dementia participated the study and were randomly allocated to the intervention group and the control group. The intervention group practiced the CPT three times a week for 20 min each time under the guidance of professional therapists for 10 months, while the control group continued receiving routine treatments. All participants underwent a series of tests on cognition, depressive moods, behavioural and psychiatric symptoms, and activities of daily living, including the Mini Mental State Examination (MMSE), the Montreal Cognitive Assessment (MoCA), the WHO-University of California Los Angeles-Auditory Verbal Learning test (WHO-UCLA-AVLT), Trail Making Test (TMT), Geriatric Depression Scale (GDS), Neuropsychological Inventory (NPI) and Barthel Index (BI), at baseline, 5 and 10 months. Results show the CPT significantly improved some of the cognitive measures, alleviated depressive moods, behavioral and psychological. 74 participants (IG: n=36, CG: n=38) completed the 10-month study. Repeated measures ANOVA revealed a significant group × time interaction (F=5.714, P=0.005) in the MoCA score, both a significant main effect of time (F=5.457, P=0.01) and a significant group × time interaction (F=4.986, P=0.021) in the NPI score, a significant main effect of time (F=4.506, P=0.014) and a significant group × time interaction in the GDS score. No falls or severe adverse events were reported.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".