Health behaviors, psychosocial factors, and academic engagement in youth with autism spectrum disorder: A latent class analysis

摘要

The purpose of this study was to identify behavioral and health-related profiles of children with autism spectrum disorder (ASD), based on the 2016 National Survey of Children's Health. A sample of 894 children with ASD (weighted sample N = 768,181) were included in the analysis. All data were parent-reported and included measures on current diagnosis of ASD, general child health, weight status, physical activity (PA), screen time (ST), sleep duration, academic engagement, and social engagement. Latent class analysis, estimated with Mplus v. 8.4, was used to identify latent profiles of children with ASD. A three-profile solution was the best fitting model, per model fit criteria. Children in profile 1 had overall more positive attributes (better health and weight, PA, more engaged in school, little difficulty in making friends, and modest ST) relative to children in either profiles 2 or 3. Children in profile 2 had distinctly increased ST and more difficulty in making friends when compared with children in either other profile. A greater proportion of children in profiles 2 and 3 were receiving behavioral treatment compared to profile 1; however, no differences were observed among profiles according to ASD severity, medication status, or additional health conditions. Studies should examine causal mechanisms among health behaviors, academic achievement, and social engagement in youth with ASD.