Ground Kayak Paddling Exercise Improves Postural Balance, Muscle Performance, and Cognitive Function in Older Adults with Mild Cognitive Impairment: A Randomized Controlled Trial
Bibliographic record
Abstract
BACKGROUND Kayaking is an interesting and posturally challenging activity; however, kayaking may be limited by safety issues in older adults. The aim of this study was to determine whether ground kayak paddling (GKP) exercise can improve postural balance, muscle performance, and cognitive function in older adults with mild cognitive impairment. MATERIAL AND METHODS Sixty participants were randomly allocated to a GKP group (n=30; mean age, 74 years) or a control group (n=30; mean age, 74 years). GKP exercise consisted 5 types of exercise protocols, including paddling and multi-directional reaching with repetitive trunk and upper-extremities movements, which was performed for 60 min twice a week for 6 weeks. The outcome measures included the Timed Up and Go Test, the Functional Reach Test, the Berg Balance Scale, the Arm Curl Test, handgrip strength, and the Montreal Cognitive Assessment. RESULTS In this study, adherence to the regimen was 96% in the GKP group. Postural balance, muscle performance, and cognitive function were significantly improved after intervention (p<0.05), and all the values in the GKP group, except for the Berg Balance Scale scores, were significantly decreased or increased compared to the control group. Differences between the 2 groups were Timed Up and Go Test -0.74 s; Functional Reach Test +7.20 cm; Arm Curl Test +5.56 repetitions; right handgrip strength +3.57 kg; left handgrip strength +3.08 kg; and Montreal Cognitive Assessment, +3.46 score (p<0.05). CONCLUSIONS GKP exercise improves the physical and psychological ability of older adults with mild cognitive impairment.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.002 |
| 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 | 0.002 | 0.002 |
| 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".