Effects of Resistance Exercise Combined with Cognitive Intervention Therapy on Cognitive Decline: A Randomized Controlled Trial of a Cognitively Declining Elderly Population
Bibliographic record
Abstract
Objective:To design a randomized controlled trial combining resistance exercise and cognitive intervention to carry out a dual-task computer-aided product design that combines hardware and software to explore the effects of different intensities of resistance exercise on cognitive function in elderly individuals with cognitive decline. Materials and Methods:Forty-eight participants (aged between 60 and 75 years) who satisfied the specified criteria were randomly assigned to one of four groups as follows: control (n = 12), low intensity (n = 12), medium intensity (n = 12), and high intensity (n = 12). The control group exclusively underwent cognitive training, whereas the experimental group underwent dual-task training at varying resistance exercise intensities. The main outcomes were short-term effects on cognitive function and lower limb strength using the Montreal Cognitive Assessment (MoCA), One-Rep Max (1RM) data, and training scores. The secondary outcomes were the effects of the participants’ subjective fatigue and the system availability of the product. Results:The experimental group subjected to medium-intensity exercise exhibited the most substantial improvement in MoCA score (P = 0.017). All the groups achieved training scores that were substantially higher than the initial data (P < 0.05), and significant 1RM values were obtained for the left and right legs in the middle- and high-strength groups (P < 0.05). In addition, the participants indicated a positive experience with the application. Conclusions:Overall, we found support for the feasibility and acceptability of the product developed by dual-task therapy based on resistance exercise combined with cognitive intervention and showed the initial impact prospect of moderate-intensity resistance exercise. Future applications should be replicated in older individuals with Clinical trial registration: NCT06220565 Ethical approval: H2022013I decline.
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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 | 0.004 |
| 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 | 0.002 |
| 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".