Cardiometabolic Health Intervention Using Music and Exercise (CHIME) Delivered via Telehealth to Wheelchair Users: Protocol for a Randomized Controlled Trial
Bibliographic record
Abstract
BACKGROUND: Wheelchair users live predominantly sedentary lifestyles and have a substantially higher risk for cardiometabolic disease and mortality compared to people without disabilities. Exercise training has been found to be effective in improving cardiometabolic health (CMH) outcomes among people without disabilities, but research on wheelchair users is limited and of poor quality. OBJECTIVE: The primary aim of this study is to examine the immediate and sustained effects of a 24-week, telehealth, movement-to-music cardiovascular (M2M-C) exercise program on core indicators of CMH among adult wheelchair users compared to an active control group. The secondary aim is to explore the beneficial effects of M2M-C exercises on cardiovascular capacity, physical activity, and quality of life. Intervention components include tailored exercises and remote performance monitoring, delivered via live videoconference training by a telecoach and asynchronous videos. METHODS: This study's design is a parallel-arm randomized controlled trial enrolling 132 physically inactive adult wheelchair users with poor cardiometabolic profiles. The M2M-C intervention group involves 24 weeks of virtual live and monitored home exercise training (3×/wk, 15-40 min/session), followed by a 12-week maintenance period where participants have access to an online media library of exercise videos. The control group involves 36 weeks of self-guided exercise through access to a media library of exercise videos, including videos for range of motion, muscle strength, and balance. The primary outcomes are cardiometabolic indicators of health, and assessors are blinded. RESULTS: Recruitment procedures started in January 2024 with the first participant enrolled on March 18, 2024. All data are anticipated to be collected by November 2027, and the main results of the trial are anticipated to be published by February 2028. Secondary analyses of data will be subsequently published. A total of 16 participants have been recruited as of paper submission. CONCLUSIONS: The knowledge obtained from this trial will provide evidence to inform exercise prescriptions aimed at improving CMH among adult wheelchair users. TRIAL REGISTRATION: ClinicalTrials.gov NCT05606432; https://clinicaltrials.gov/study/NCT05606432. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/57423.
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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 | 0.025 | 0.020 |
| Meta-epidemiology (narrow) | 0.006 | 0.003 |
| Meta-epidemiology (broad) | 0.014 | 0.006 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.007 | 0.009 |
| Insufficient payload (model declined to judge) | 0.076 | 0.012 |
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".