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Record W4417043569 · doi:10.2196/85246

Feasibility of Vigorous Extended Reality Tele-Exergaming for Cardiometabolic Health in Youth With Mobility Disabilities: Protocol for a Case Series Study

2025· article· en· W4417043569 on OpenAlexvenueno aff
Byron Lai, M. I. Logan, Raven Young, Ashley Wright, Jordyn Terrell, Larsen Bright, Drew Davis, Christen J. Mendonca

Bibliographic record

VenueJMIR Research Protocols · 2025
Typearticle
Languageen
FieldMedicine
TopicCerebral Palsy and Movement Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsTelehealthProtocol (science)mHealthPhysical activityTelemedicineeHealthHealth care

Abstract

fetched live from OpenAlex

Background: Young people with mobility disabilities have limited options to maintain their cardiometabolic health and cardiorespiratory fitness. Active video gaming using extended reality head-mounted displays is becoming increasingly common for promoting serious exergaming. However, there is a need to identify dosing protocols that can potentially lead to meaningful improvements in cardiometabolic health and cardiorespiratory fitness. Objective: This feasibility study aims to explore potential benefits of vigorous-intensity extended reality exergaming, conducted at home with telemonitoring for body composition and cardiometabolic health, in 4 young people with cerebral palsy and overweight or obesity. The secondary aim is to assess the effects of the program on cardiorespiratory fitness. The tertiary aim is to describe the safety and acceptability of the intervention. Methods: This case study is a phase 1 feasibility trial with a pretest-to-posttest design including 4 participants. Young people with cerebral palsy and overweight or obesity (aged 13-24 years) will be purposively selected to participate based on 2 mobility categories (ambulatory: n=2; nonambulatory: n=2). The intervention prescription will include 240 minutes per week of vigorous-intensity exercise at home for a total of 6 weeks, with telemonitoring of exercise data that will be supplemented with weekly coaching calls. Participants will exercise using a head-mounted display to control an immersive exergame. Caregivers will agree to manage a play schedule and assess their children's safety during play. Body composition will be measured using dual-energy x-ray absorptiometry at the pre- and postintervention time points (weeks 0 and 7, respectively). Blood-related health (fasting insulin, lipids, high-sensitivity C-reactive protein, and glycated hemoglobin) will be measured via a blood spot test, and blood pressure will be measured via a sphygmomanometer. Cardiorespiratory fitness (peak oxygen consumption) will be measured using a portable metabolic cart (COSMED K5) during a graded exercise test on an arm ergometer at the pre- and postintervention time points. Quantitative process metrics and qualitative feedback will be used to assess feasibility. Changes in outcomes over time will be descriptively analyzed. Results: Recruitment began in October 2025. All data are anticipated to be collected by December 2025. Full results are anticipated to be analyzed and submitted for publication by April 2026. Conclusions: This feasibility study tests an accessible and intensive program, which leverages high-intensity exercise gaming with telehealth procedures for children with cerebral palsy. Study findings will inform a pilot efficacy trial to improve cardiometabolic health and fitness among young people with mobility disabilities.

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 imitation

Not 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.

metaresearch head score (Codex)0.027
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.029
Threshold uncertainty score0.143

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0270.018
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0030.004
Bibliometrics0.0030.001
Science and technology studies0.0040.002
Scholarly communication0.0010.002
Open science0.0040.003
Research integrity0.0050.003
Insufficient payload (model declined to judge)0.0290.006

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.

Opus teacher head0.335
GPT teacher head0.588
Teacher spread0.253 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreProtocol

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".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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