The current study prospectively examined trajectories of change in symptoms of irritability, hyperactivity, and social withdrawal, as well as predictors of such behaviors from age 9 to 18 for youths with autism spectrum disorder (ASD) and a comparison group with nonspectrum developmental delays. Children with more severe core features of autism had consistently higher irritability and hyperactivity scores over time than those with broader ASD and nonspectrum delays. Across all diagnoses, behaviors related to hyperactivity showed the greatest improvement. Social withdrawal worsened with age for a substantial proportion of youths with ASD but not for the nonspectrum comparison group. Compared with nonspectrum youths, children with ASD showed greater heterogeneity in trajectories for maladaptive behaviors.
Objective
Evidence regarding the age at which autism spectrum disorder (ASD) is identified is essential for improving early detection, yet many extant studies have not applied time-to-event analyses, which accounts for statistical biases that arise from sampling in cross-sectional surveys by adjusting for child age at time of parental report. Our objective was to estimate age distributions for first identification of ASD in national parent surveys using time-to-event analyses.
Method
We conducted time-to-event analyses of responses to identical questions in the 2011–2012 National Survey of Children’s Health (n=95,677) and the 2009–2010 National Survey of Children with Special Health Care Needs (n=371,617).
Results
Parents in both surveys reported that a minority of ASD cases were identified before age 3 years, and that 1/3 to 1/2 of cases were identified after 6 years. In both surveys, a majority of parents described their child’s ASD severity as mild, and these parents reported the oldest age-at-identification (mean = 5.6 and 8.6 years). In contrast, parents who described their child’s ASD as severe reported earlier age-at-identification (mean = 3.7 and 4.5 years). Time-to-event analyses yielded older estimates of age at identification than analyses based on raw distributions.
Conclusion
In two national surveys, a majority of parents of children with ASD reported identification after 3 years, when eligibility for Early Intervention services expires, and many reported identification of ASD after school age. Later identification of children with milder symptoms highlights the need for early screening that is sensitive to all forms of ASD, regardless of severity.
Despite recent advances, the evidence base supporting early intervention for young children with autism spectrum disorder (ASD) remains relatively sparse. The International Society for Autism Research (INSAR) recently sponsored a Special Interest Group (SIG) on Implementing and Evaluating Community-Based Early Intervention. Across three meetings, in 2015, 2016, and 2017, conveners of this SIG engaged >200 members to identify knowledge gaps and research priorities for moving the field forward. Here, we summarize the perspectives that emerged from group discussion at the SIG meetings as represented by scholars working actively in the field. Despite encouraging progress, critical gaps and research priorities were identified across all the stages of intervention development and testing from conceptualization to community implementation. Key issues include the need for (a) formal theories to guide early intervention development, evaluation, and implementation; and alignment of intervention goals with scientific knowledge and societal changes that have occurred in the decades since interventions were originally developed; (b) increased focus on feasibility of treatment procedures and alignment with stakeholder values during pilot evaluations; (c) use of research designs that allow for comparisons of different interventions and formats, analyses of active ingredients of treatment, and identification of moderators and mediators of outcome; (d) use of community-partnered participatory research to guide adaptation of intervention models to community settings; (e) inclusion of constructs related to implementation processes and outcomes in treatment trials and; (f) an iterative approach to the progression of knowledge from intervention development to implementation. Autism Res 2018, 11: 16-23. Lay Summary: In this article, we summarize the themes discussed at the INSAR Special Interest Group (SIG) on Implementing and Evaluating Community-Based Early Intervention. Priorities for moving the field forward identified in the SIG included the need for (a) formal theories to guide the development and evaluation of interventions, (b) pilot evaluations that investigate feasibility and acceptability of interventions, (c) methodologies that allow us to determine for whom different interventions bring most benefit and why this is so, (d) strategies to include community members and other stakeholders in the process of developing and evaluating interventions, and (e) understanding of factors that make interventions more likely to be adopted and successfully implemented in the real world.
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