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Record W4283835735 · doi:10.2196/39304

Effects of Novel, Whole-body Movement–Based Interventions on Locomotor Skills in Children With Autism Spectrum Disorder: Randomized Controlled Trial Comparing Face-to-face and Telehealth Modes of Intervention Delivery

2022· article· en· W4283835735 on OpenAlexvenueno aff
Emily C Delepine, Sruthi Takillapati, Nidhi Amonkar, Wan-Chun Su, Corina Cleffi, Anjana Bhat, Sudha Srinivasan

Bibliographic record

VenueIproceedings · 2022
Typearticle
Languageen
FieldMedicine
TopicCerebral Palsy and Movement Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsPsychological interventionRandomized controlled trialTelehealthAutism spectrum disorderPhysical therapyGross motor skillAutismMotor skillPhysical medicine and rehabilitationIntervention (counseling)MedicinePsychologyTelemedicineDevelopmental psychologyPsychiatryHealth care

Abstract

fetched live from OpenAlex

Background Autism spectrum disorder (ASD) is a neurodevelopmental disorder limiting a child’s motor performance to a level half their chronological age. Due to COVID-19, there has been growing research on the use of telehealth-based interventions in the care of children with ASD. Objective Based on previous research from our lab, this study assessed the effects of 2 novel, whole-body movement interventions (creative movement and general movement) compared to a standard-of-care, seated play intervention using a randomized controlled trial design. Interventions were delivered either face-to-face (F2F) or via telehealth (TH) across all groups. Methods In total, 45 children with ASD (aged 5-14 years) participated in a 10-week study. Children were matched on age and level of functioning and then randomly assigned to the Play (creative movement), Move (general movement), or Standard-of-care control (seated play) group (n=15 per group) to receive 8 weeks of intervention F2F or via TH. The interventions were provided twice a week for 8 weeks, with each session lasting for around 1 to 1.5 hours. The locomotor subtest of the Test of Gross Motor Development was administered at pretest and posttest to assess the form and accuracy of locomotor skills (running, galloping, hopping, leaping, horizontal jump, sliding, and skipping). Results Improvements were seen in overall standard scores in the Play (pretest: mean 6.53, SE 0.97; posttest: mean 8.60, SE 0.97; P<.05) and Move groups (pretest: mean 6.07, SE 0.96; posttest: mean 8.07, SE 0.92; P<.05) but not in the Create group (pretest: mean 6.13, SE 0.88; posttest: mean 6.80, SE 0.87; P.05). Specifically, 75% of children seen via TH and 57.1% of children seen F2F improved in the Play group, and 89% of children seen via TH and 50% of children seen F2F improved in the Move group. Conclusions Our pilot data suggest that TH is a viable option for movement intervention delivery and can be used to promote locomotor skills in children with ASD. Broadly, movement-based interventions must be included in the plan of care for children with ASD, given their significant challenges with movement performance.

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)0.001
metaresearch head score (Gemma)0.000
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.847

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.008
GPT teacher head0.261
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 teacher head, not a consensus.

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

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

Citations0
Published2022
Admission routes1
Has abstractyes

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