The effects of home based nutrition and exercise interventions in improving functional capacity and preventing falls among older adults
Bibliographic record
Abstract
Background Unintentional falls are one of the leading causes of mortality and morbidity among frail older adults. The higher incidence of falls coupled with a higher number of individuals at risk for poor nutrition and physical function among this group make it critical to explore this issue within the proposed context. 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. Methods For the purpose of the study, 80 individuals over 65 years of age were recruited through Continuing Care and other community-based organisations. 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 Programme and consumptions of liquid adult nutritional supplement (Ensure) daily for 6 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. The 6 months follow-up showed improvement in improvement in functional capacity in the intervention groups. Conclusion Working with frail elderly provides unique opportunities and challenges.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".