Home-based High Intensity Functional Strength Training (HIFST) for Older Adults: A Protocol for a Pilot Randomized Controlled Trial and Qualitative Description of an Exercise Program to Prevent Functional Decline after an Injury
Bibliographic record
Abstract
ABSTRACT Background Slip, trips, and falls are a common cause of injury in older adults; limiting physical activity participation and mobility task performance. These injuries may result in preclinical mobility limitation (PCML), a period in which individuals report modifications but not difficulty in mobility tasks. Individuals with PCML are at risk of functional decline which can be prevented with exercise. High-intensity functional strength training (HIFST) involves short intervals of ‘hard’ interspersed with ‘easy’ exercise that may be a time efficient strategy to improve functioning for older adults experiencing PCML. Objective This protocol outlines the rationale, methods, and planned analyses for a pilot randomized controlled trial and qualitative description (QD) to investigate the feasibility, preliminary effects, and acceptability of a home-based 12-week HIFST intervention for community-dwelling older adults (≥ 55 years) with PCML who have had an injury from a slip, trip, or fall. Methods Twenty-four participants (target) will be randomized into a 12-week home-based HIFST or lower extremity stretching intervention. Feasibility will be determined using criteria for adherence, recruitment, retention, and safety and results will be presented using descriptive statistics. Preliminary effects on physical functioning, cognitive functioning, enjoyment, and harms will be assessed and presented as mean between-group differences with 95% confidence intervals. HIFST participants will be recruited for follow-up interviews using QD methodology to investigate the acceptability of the intervention. The results of this pilot trial will provide essential information for future research regarding the process, resources, and scientific merit of conducting home-based high-intensity exercise in a post-injury older adult population. Trial Registration NCT05266911
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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 | 0.058 | 0.049 |
| Meta-epidemiology (narrow) | 0.004 | 0.004 |
| Meta-epidemiology (broad) | 0.006 | 0.005 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.007 | 0.008 |
| Insufficient payload (model declined to judge) | 0.053 | 0.008 |
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".