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Record W4408849078 · doi:10.2196/preprints.65767

Impact of a Sensorimotor Integration and Hyperstimulation Program on Global Motor Skills in Moroccan Children With Autism Spectrum Disorder: Exploratory Clinical Quasi-Experimental Study (Preprint)

2024· preprint· en· W4408849078 on OpenAlexaboutno aff
Rachid Touali, Jamal Zerouaoui, El Mahjoub Chakir, Hung Tien Bui, Mario Leone, Maxime Allisse

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldPsychology
TopicChildren's Physical and Motor Development
Canadian institutionsnot available
Fundersnot available
KeywordsAutism spectrum disorderAutismPreprintPsychologyMotor skillExploratory researchDevelopmental psychologyPhysicsSociology

Abstract

fetched live from OpenAlex

BACKGROUND Children with autism spectrum disorders (ASDs) often struggle with processing information, which can impact their coordination, balance, and other motor skills. Studies have demonstrated that intervention programs based on sensory integration can enhance motor performance in these children. OBJECTIVE The objective of this study is to evaluate the applicability of a standardized battery of gross motor skill tests for Moroccan children aged 6 to 12 years with ASD. The objective is to assess the potential efficacy of an innovative pedagogical approach focused on sensorimotor integration and hyperstimulation. This approach will be compared to traditional physical education (PE) sessions to determine its feasibility and potential to bridge the developmental gaps in motor skills between children with ASD and those with a neurotypical profile. METHODS A convenience sample of 14 Moroccan children with ASD aged 6 to 12 years participated in this exploratory study. Children with ASD were divided into an experimental group (n=7) and a control group (n=7) based on age, sex, motor performance, and socioeconomic status. The control group followed the standard PE program, while the experimental group underwent a specialized program combining sensorimotor integration and hyperstimulation for a period of 15 weeks. All participants were classified as level 2 (moderate) on the Autism Severity Rating Scale based on the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, Text Revision (DSM-5-TR) criteria. Gross motor skills were measured at baseline and after 15 weeks of intervention using the UQAC-UQAM (University of Québec in Chicoutimi-University of Québec in Montréal) test battery protocol, which includes 10 items. RESULTS At baseline (T1), no significant difference was observed between the control and experimental groups of children with ASD. Following the 15-week intervention, the group participating in traditional PE showed an overall improvement in motor skills of approximately 14.5%. Conversely, the results of the ASD experimental group suggest a more substantial improvement of 44.5%. Additionally, the experimental group exhibited significant better performance across all motor skill variables compared to the control group (minimum P values of <.02) with large effect sizes (>0.80). In this regard, a 2-way repeated measures ANOVA confirms the efficiency of the program implemented within the experimental group, demonstrating significant effects associated with both group and time factors as well as a clinically highly significant group×time interaction across all measured variables (η2p>0.14). CONCLUSIONS The results of this study suggest that the approach that emphasizes sensorimotor integration and management of hyperstimulation was more effective in improving motor skills in this population. However, other more exhaustive studies will need to be carried out in order to be able to more precisely measure the full potential of this approach.

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)0.002
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: Non-randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.020
GPT teacher head0.366
Teacher spread0.346 · 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 designNon-randomized 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".

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Citations0
Published2024
Admission routes1
Has abstractyes

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