Feasibility and preliminary functional, physical, and psychosocial effects of high-intensity functional training for adults with mobility disabilities
Bibliographic record
Abstract
PURPOSE: This study evaluated the feasibility and initial health effects on functional, physical, and psychosocial outcomes of a community-based, 12-week high-intensity functional training (HIFT) intervention for adults with mobility disabilities. DESIGN AND SAMPLE: A single-group, pre-post design with assessments at baseline and post-intervention. Twelve participants (75% female; 37-74 years) with mobility disabilities. INTERVENTION: Twelve-week, thrice-weekly community-based HIFT program. MEASURES: Feasibility was assessed via recruitment, retention, and adherence. The Canadian Occupational Performance Measure (COPM) evaluated self-report physical function, while physical health outcomes comprised fitness, strength, flexibility, and weight-related assessments. Psychosocial measures included quality of life (QOL), self-efficacy, and perceived barriers. Energy expenditure via portable indirect calorimetry and exit interviews captured participant experiences. ANALYSIS: Feasibility was reported as percentages; descriptive statistics and effect sizes were calculated for functional, physical, and psychosocial outcomes. Thematic analysis identified themes from transcriptions. RESULTS: Recruitment was 51%, retention was 83%, and attendance was 77.5%, with one adverse event. Cohen's d effect sizes indicated improvements in function (d = 0.93-1.04), fitness (d = 0.65-1.59), flexibility (d = 0.36-0.64), BMI (d = 0.32), QOL (d = 1.04), self-efficacy (d = 1.03), and barriers to health behavior (d = 0.48). Participants reported high satisfaction and community support following the intervention. Energy expenditure averaged 154.65 (65.5) kcals/session and 86.13 (42) kcals during exercise. CONCLUSION: A community-based HIFT program for individuals with mobility disabilities is feasible; however, the small sample size limits the ability to attribute changes to the intervention. CLINICALTRIALS: GOV: HIFT for People with Mobility-Related Disabilities (Research GO); NCT05516030.
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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 | 0.002 | 0.005 |
| 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 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".