ArticleJournal of autism and developmental disorders2025
Identifying Core Joint Attention Behaviors and Exploring Pathways to Autistic Traits in School-Aged Children With Autism Spectrum Disorder: A Network Analysis Study.
Article in Journal of autism and developmental disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
purposeThis study aimed to identify core joint attention behaviors and examine their network structures and associations with autistic traits in school-aged children diagnosed with Autism Spectrum Disorder (ASD).
methodsA total of 183 children with ASD (mean age = 7.33 ± 1.11 years; 67.8% male) were recruited. Participants were assessed using the Childhood Joint Attention Rating Scale (C-JARS) and the Childhood Autism Rating Scale (CARS). Network models of joint attention behaviors were estimated to identify central and bridge behaviors relating to core autistic traits.
resultsNetwork analysis revealed key behavioral dyads including sharing interests with cooperative digital play, and conversational engagement paired with gaze aversion during requests. Central hub behaviors such as helping others, hyperfocus on inanimate objects, and recalling shared positive experiences showed the highest influence within the joint attention network. Gaze avoidance and lack of shared interest were less central. Bridge analysis demonstrated that imitation and relating to people had strong negative associations with joint attention difficulties, suggesting that greater joint attention corresponds to lower severity of certain autistic traits.
conclusionThe findings highlight distinct joint attention profiles in children with ASD and underscore imitation as a critical intervention target to improve social communication. This network-based approach offers nuanced insights into social communication deficits and supports the development of tailored therapeutic strategies for ASD.
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