The Effects Of Home Based Nutrition And Exercise Intervention In Improving Functional Capacity Associated With Falls Among Older Adults
Bibliographic record
Abstract
PURPOSE: The purpose of the study was to examine the synergistic role of functional capacity and nutrition on falls as well as the impact of combined, home-based nutrition and exercise interventions. MEASURES: For the purpose of the study, 134 individuals over 60 years of age were recruited through Continuing Care and other community-based organizations. The participants were placed in one of four groups: exercise only, nutrition only, exercise and nutrition group, and no intervention comparison group. The exercise and nutrition interventions were the Home Support Exercise Program and consumptions of liquid adult nutritional supplement (Ensure ®) daily for six months. The participants’ demographic information, status on health, function, nutrition, and falls were assessed at baseline and again at 6 months. RESULTS: The participants’ age ranged from 61-98 (ave=81). Of the participants, 83% were female, 50% lived alone, and 65% required personal assistance to leave their home. Participants in the exercise only and exercise-nutrition groups performed an exercise program, while those in the nutrition only and exercise-nutrition groups received liquid nutritional supplement. Results showed significant changes in group scores over time for functional reach with significant differences existing between exercise and nutrition-exercise groups. Overall, the exercise only group performed better than the other groups in improvement of functional capacity and psychophysical well-being after a 6 months intervention. CONCLUSION: Working with frail elderly provides unique opportunities and challenges. Supported by Nova Scotia Health Research Foundation and the Canadian Institutes of Health Research
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".