Effects Of A Functional Fitness And Yoga Intervention On Cognitive And Balance Outcomes In Seniors
Bibliographic record
Abstract
PURPOSE: In the United States, it is estimated that approximately 6.5 million adults, 65 and older, are living with Alzheimer’s Disease (AD). That is, 1 in 9 aging adults are living with AD which is characterized by memory loss and cognitive decline. Aging adults also exhibit a significantly higher risk for falling, which is the leading cause of death among US adults over the age of 65. Research suggests that the presence of healthy habits like physical activities including functional fitness and yoga can improve balance, reduce fall risk, and improve cognitive outcomes. As such, the purpose of this study was to explore the influence of a 12-week functional fitness and yoga intervention on perceptions of balance and cognitive outcomes in aging adults. METHODS: Thirty-three community dwelling older adults (Mage78; 86% female) completed a 12-week functional fitness and yoga intervention. The Senior Fitness Test (arm curl, chair stand and 2-minute step) was used to capture post intervention strength and aerobic fitness capacity. The Montreal Cognitive Assessment (MoCA) was administered to assess global cognition and delayed memory recall and perceptions of balance were measured via 16 self-reported items. Bivariate correlations were used to detect significant associations and linear regression was used to explore the predictive potential of fitness as it relates to balance and cognitive outcomes. RESULTS: Findings indicated significant associations between post intervention arm curl and changes in perceptions of balance (r = .46, p < .05) and post chair stand and changes in global cognitive score (r = .45, p < .05). Furthermore, post intervention chair stand scores significantly predicted positive changes in global cognition (β = .517; p > .05), and post arm curl scores significantly predicted changes in balance perception (β = .463; p > .05) after controlling for demographic variables. CONCLUSION: Collectively, these results showcase the cognitive and balance related benefits of aging adults participating in physical activities that improve upper and lower body strength. Future research should longitudinally explore how such interventions may contribute to reductions in the prevalence of AD and falls as adults age. Supported by Michigan Health Endowment Fund Grant R-2103-148372.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".