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Record W3008628725 · doi:10.2196/12823

Yoga and Aerobic Dance for Pain Management in Juvenile Idiopathic Arthritis: Protocol for a Pilot Randomized Controlled Trial

2020· article· en· W3008628725 on OpenAlexaffvenueabout
Karine Toupin‐April, Jennifer Stinson, Sabrina Cavallo, Laurie Proulx, George A. Wells, Ciarán M. Duffy, Tania ElHindi, Patricia E. Longmuir, Lucie Brosseau

Bibliographic record

VenueJMIR Research Protocols · 2020
Typearticle
Languageen
FieldMedicine
TopicAutoimmune and Inflammatory Disorders Research
Canadian institutionsUniversité de MontréalSickKids FoundationUniversity of TorontoStatistics CanadaCanadian Arthritis Patient AllianceInstitute for Clinical Evaluative SciencesChildren's Hospital of Eastern OntarioHospital for Sick ChildrenUniversity of Ottawa
Fundersnot available
KeywordsRandomized controlled trialPhysical therapyDanceMedicineProtocol (science)JuvenileArthritisPhysical medicine and rehabilitationAlternative medicinePain managementPsychologySurgery

Abstract

fetched live from OpenAlex

BACKGROUND: Juvenile idiopathic arthritis (JIA) is one of the most common types of arthritis among children. According to JIA guidelines for physical activity (PA), structured PA interventions led to improved health outcomes. However, many PA programs, such as yoga and aerobic dance, have not been studied in this population despite being popular among youth. Web-based PA programs could provide patients with accessible and affordable interventions. OBJECTIVE: The primary aims of the proposed pilot randomized controlled trial (RCT) are to examine (1) the feasibility of conducting a full-scale RCT to evaluate the effectiveness of two popular types of PA: a yoga training program and an aerobic dance training program, in female adolescents (aged 13-18 years) with JIA compared with an electronic pamphlet control group; and (2) the acceptability of these interventions. METHODS: A three-arm prospective randomized open-label study with a parallel group design will be used. A total of 25 female adolescents with JIA who have pain will be randomized in a ratio of 2:2:1 to one of the 3 groups: (1) online yoga training program (group A: n=10); (2) online aerobic dance training program (group B: n=10); and (3) electronic pamphlet control group (group C: n=5). Participants in groups A and B will complete 3 individual 1-hour sessions per week using online exercise videos, as well as a 1-hour virtual group session per week using a videoconferencing platform for 12 weeks. Participants from all groups will have access to an electronic educational pamphlet on PA for arthritis developed by the Arthritis Society. All participants will also take part in weekly online consultations with a research coordinator and discussions on Facebook with participants from their own group. Feasibility (ie, recruitment rate, self-reported adherence to the interventions, dropout rates, and percentage of missing data), acceptability, and usability of Facebook and the videoconferencing platform will be assessed at the end of the program. Pain intensity, participation in general PA, morning stiffness, functional status, fatigue, self-efficacy, patient global assessment, disease activity, and adverse events will be assessed using self-administered electronic surveys at baseline and then weekly until the end of the 12-week program. RESULTS: This pilot RCT has been funded by the Arthritis Health Professions Association. This protocol was approved by the Children's Hospital of Eastern Ontario Research Ethics Board (#17/08X). As of May 11, 2020, recruitment and data collection have not started. CONCLUSIONS: To our knowledge, this is the first study to evaluate the effectiveness of yoga and aerobic dance as pain management interventions for female adolescents with JIA. The use of online programs to disseminate these 2 PA interventions may facilitate access to alternative methods of pain management. This study can lead to a full-scale RCT. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/12823.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.021
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.148
Threshold uncertainty score0.934

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0210.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.155
GPT teacher head0.485
Teacher spread0.330 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
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

Citations8
Published2020
Admission routes3
Has abstractyes

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