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Record W4388017034 · doi:10.7326/m23-1603

Clinical Effectiveness of Cognitively Enhanced Tai Ji Quan Training on Global Cognition and Dual-Task Performance During Walking in Older Adults With Mild Cognitive Impairment or Self-Reported Memory Concerns

2023· article· en· W4388017034 on OpenAlexaboutno aff
Fuzhong Li, Peter Harmer, Elizabeth Eckstrom, Kathleen Fitzgerald, Kerri M. Winters‐Stone

Bibliographic record

VenueAnnals of Internal Medicine · 2023
Typearticle
Languageen
FieldHealth Professions
TopicBalance, Gait, and Falls Prevention
Canadian institutionsnot available
FundersNational Institute on Aging
KeywordsMedicineMontreal Cognitive AssessmentMemory spanClinical Dementia RatingCognitionRandomized controlled trialDementiaCognitive impairmentEffects of sleep deprivation on cognitive performancePhysical medicine and rehabilitationPhysical therapyAudiologyWorking memoryInternal medicinePsychiatryDisease

Abstract

fetched live from OpenAlex

BACKGROUND: Mild cognitive impairment (MCI) negatively impacts cognition and dual-task abilities. A physical-cognitive integrated treatment approach could mitigate this risk for dementia. OBJECTIVE: To compare the effectiveness of cognitively enhanced tai ji quan versus standard tai ji quan or stretching exercise in improving global cognition and reducing dual-task walking costs in older adults with MCI or self-reported memory concerns. DESIGN: 3-group, randomized (1:1:1), superiority trial. (ClinicalTrials.gov: NCT04070703). SETTING: Community residential homes. PARTICIPANTS: 318 older adults with self-reported memory decline or concern and a Clinical Dementia Rating (CDR) global score of 0.5 or lower at baseline. INTERVENTION: = 106). All groups exercised at home via real-time videoconferencing, 1 hour semiweekly for 24 weeks. MEASUREMENTS: The co-primary endpoints were change in Montreal Cognitive Assessment (MoCA; range, 0 to 30) and dual-task walking costs (difference between single- and dual-task gait speed, expressed in percentage) from baseline to 24 weeks. Secondary outcomes included CDR-Sum of Boxes (CDR-SB), Trail Making Test B, Digit Span Backward (DSB), and physical performance tests. Outcomes were assessed at 16, 24 (primary endpoint), and 48 weeks (6 months after intervention). RESULTS: A total of 304 participants (96%) completed the 24-week assessment. Cognitively enhanced tai ji quan outperformed standard tai ji quan and stretching with a greater improvement in MoCA score (mean difference, 1.5 points [98.75% CI, 0.7 to 2.2 points] and 2.8 points [CI, 2.1 to 3.6 points], respectively) and in dual-task walking (mean difference, 9.9% [CI, 2.8% to 16.6%] and 22% [CI, 13% to 31%], respectively). The intervention effects persisted at 48-week follow-up. LIMITATION: There was no nonexercise control group; participants had subjective or mild cognitive impairment. CONCLUSION: Among community-dwelling older adults with MCI, cognitively enriched tai ji quan therapy was superior to standard tai ji quan and stretching exercise in improving global cognition and reducing dual-task gait interference, with outcomes sustained at 48 weeks. PRIMARY FUNDING SOURCE: National Institute on Aging.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.076
GPT teacher head0.440
Teacher spread0.365 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreEmpirical

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".

Quick stats

Citations48
Published2023
Admission routes1
Has abstractyes

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