Impact of a low-threshold exercise and protein supplementation intervention to optimise physical function and target frailty in people experiencing homelessness and addiction: The LEAP II trial
Bibliographic record
Abstract
ABSTRACT Objective Frailty is a state of physiological vulnerability and associated with adverse outcomes. People experiencing homelessness and addiction have a higher burden of frailty than the general population. This study’s aim was to test the feasibility and impact of an exercise intervention with protein supplementation to target low physical functioning and frailty in this population, which was flexibly delivered over 12 weeks, with exercise options three days per week. Methods The primary outcome of feasibility was measured by recruitment, retention, adherence, acceptability and adverse events. Secondary outcomes were physical function, pain, frailty and nutritional status, and self-reported health. Results Forty-three participants enrolled. Overall retention was 69.8%, with higher retention observed in subgroups (women and older adults). Programme adherence and acceptability was reported in 93% and 100% of participants, respectively. No adverse events occurred. At baseline, sub-normative values were demonstrated for limb strength and balance; pain was prevalent in 34.8%; 23% had poor nutritional health between 32.5% and 72.1% lived with some degree of frailty. Significant improvements were demonstrated for lower limb strength, gait speed, pain, nutritional status and frailty, (p<0.05). Conclusions This novel intervention delivered to this hard-to-reach population was shown to be feasible and impactful, indicating proof of concept.
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 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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".