Effects of exercise-cognitive dual-task training on cognitive frailty in older adults: a randomized controlled trial
Bibliographic record
Abstract
Objective This study aims to investigate the effects of exercise-cognitive dual-task training on frailty status, cognitive function, physical performance, and dual-task cognitive load in older adults with Cognitive frailty (CF) over a 16-week intervention period. Methods This randomized controlled trial enrolled older adults with CF at community health service center in Chaoyang District, Beijing, between February and March 2024. Participants were randomly assigned to either the dual-task training group or the health education group in a 1:1 ratio. The dual-task training group received an exercise-cognitive dual-task training program, while the health education group received information on CF, including its symptoms, risk factors, and non-pharmacological prevention and treatment strategies. The primary outcomes were frailty status, while the secondary outcomes included cognitive function, balance and gait function, walking ability, and dual-task cognitive load. Results A total of 72 participants (35 males) were enrolled, including 36 individuals (mean age: 74.81 ± 8.23 years, 17 males, mean BMI: 21.38 ± 2.83 kg/m 2 ) in the dual-task training group, and 36 individuals (mean age: 76.50 ± 7.75 years, 18 males, mean BMI: 22.18 ± 2.12 kg/m 2 ) in the health education group. Participants (n = 72) were 75.66 ± 7.9 years old; 48.6% (35/72) were male and 51.4% (37/72) were female. Following the intervention, the dual-task training group exhibited significant improvements compared to the health education group in the Tilburg Frailty Index (5.14 ± 0.99 vs. 7.36 ± 1.07, p < 0.001) and Montreal Cognitive Assessment scores (27.25 ± 2.41 vs. 23.47 ± 1.87, p < 0.001). Additionally, the dual-task training group demonstrated superior outcomes in the Performance-Oriented Mobility Assessment (POMA) scores (24.64 ± 5.50 vs. 17.39 ± 4.38, p < 0.001), Time Up and Go Test (TUGT) indicators (10.66 ± 1.76 vs. 12.01 ± 2.21, p < 0.05), and cognitive load measures (all p < 0.05). Conclusion Exercise-cognitive dual-task training may effectively improve frailty status, cognitive function, physical performance, and dual-task cognitive load in older adults with CF, suggesting its potential for broader application in this population. Clinical trial registration http://www.chictr.org.cn/ , ChiCTR2400080105.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 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".