Motor and exercise-based interventions for children with ASD: a comparative review of delivery models and implications for psychosocial interventions

Motor impairments are common among children with autism spectrum disorder (ASD), limiting participation in educational, social, and community contexts. Although motor and exercise-based interventions for children with ASD are widely studied, differences in delivery models and their implications for psychosocial interventions remain insufficiently synthesised. This narrative review adopts a comparative perspective to examine motor and exercise-based interventions for children with ASD, focusing on how different delivery models shape participation-related and social experiences. Interventions are grouped into four categories: (1) traditional motor interventions delivered within healthcare (e.g. physical and occupational therapy); (2) structured exercise-based programmes; (3) group-based sports and recreational activities; and (4) technology-assisted or digital interventions. Rather than comparing quantitative effect sizes, this review emphasises implications for psychosocial interventions related to participation opportunities, social engagement, and contextual fit. Findings are interpreted within the educational and healthcare systems in Taiwan, highlighting implications for interdisciplinary practice and policy development.

Authors

Institutions

Publication Details

Journal
China Journal of Social Work
Published
2026-10-14
DOI
https://doi.org/10.1080/17525098.2026.2743435
Primary Topic
Autism Spectrum Disorder Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Motor and exercise-based interventions for children with ASD: a comparative review of delivery models and implications for psychosocial interventions

Samuel Shih-Chih Wang, Yi‐Ling Wu, Chien-Liang Liu
China Journal of Social Work
Autism Spectrum Disorder Research
article

Motor and exercise-based interventions for children with ASD: a comparative review of delivery models and implications for psychosocial interventions

Samuel Shih-Chih Wang, Yi‐Ling Wu, Chien-Liang Liu
article en

Abstract

Motor impairments are common among children with autism spectrum disorder (ASD), limiting participation in educational, social, and community contexts. Although motor and exercise-based interventions for children with ASD are widely studied, differences in delivery models and their implications for psychosocial interventions remain insufficiently synthesised. This narrative review adopts a comparative perspective to examine motor and exercise-based interventions for children with ASD, focusing on how different delivery models shape participation-related and social experiences. Interventions are grouped into four categories: (1) traditional motor interventions delivered within healthcare (e.g. physical and occupational therapy); (2) structured exercise-based programmes; (3) group-based sports and recreational activities; and (4) technology-assisted or digital interventions. Rather than comparing quantitative effect sizes, this review emphasises implications for psychosocial interventions related to participation opportunities, social engagement, and contextual fit. Findings are interpreted within the educational and healthcare systems in Taiwan, highlighting implications for interdisciplinary practice and policy development.

China Journal of Social Work
University of Taipei (TW), Taipei Municipal YangMing Hospital (TW), Taipei City Hospital (TW)
Good health and well-being
Openalex Percentile: Top 14%
Autism Spectrum Disorder Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.