Autistic children who have experienced adverse childhood experiences (ACEs) may have barriers to receiving special education or other developmental services-thus, impacting educational outcomes. Our objective was to model such a pathway using the 2016-2021 National Survey of Children's Health datasets. We extracted data for school outcomes, use of special education and autism-related specialty services and sociodemographic characteristics among autistic children within the data. Associations between sociodemographics and ACEs (categorized as 0, 1-3, and 4+) were tested using design-based X2 tests. We then used structural equation modeling to map the quasi-causal pathways. The sample for our analysis included 4717 autistic children-38.94% were aged 6-10 years, 35.73% of children aged 11-14 years, and 25.32% were between 15 and 17 years-with 88.70% living in metropolitan areas. The X2 showed significant relationships between ACEs and age, ethnoracial groups, and urbanicity among others. The SEM showed ACEs were directly associated with poorer school outcomes (β = -0.14 (0.04), p = 0.002) and through their inverse relationship with support services (β = -0.08 (0.04), p = 0.023)- when support services were increased, school outcomes improved (β = 0.62, p < 0.001). Findings suggested ACEs have a significant direct and indirect impact on school outcomes of autistic children, and 10.76% of children who are autistic have experienced four or more ACEs-which were more likely to occur with severe autism symptomatology and in rural areas. Results highlight the need for communities to recognize the potential long-term impact of ACEs on the academic outcomes of autistic children.
Keywords: adverse childhood experiences; autism; education; structural equation modeling; support services.
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