Health behaviors, psychosocial factors, and academic engagement in youth with autism spectrum disorder: A latent class analysis.
National parent data reveal three autism subgroups—high screen time plus social trouble flags kids who need sleep and social-skills support first.
01Research in Context
What this study did
Researchers looked at national survey data from parents of kids with autism. They used math to sort the kids into groups based on health habits, feelings, and school engagement. The sample covered many ages and came from across the United States.
Parents answered questions about sleep, screen time, exercise, mood, and how their child does in school.
What they found
Three clear groups popped out. Group 1: healthy, active, and highly engaged in school. Group 2: lots of screen time and big social struggles. Group 3: sat in the middle on most items.
The high-screen-time group also had the lowest school engagement and most emotional problems.
How this fits with other research
Liyew et al. (2025) also used parent reports to find patterns, but they focused only on sensory and thinking issues in Ethiopian kids. Both studies show parents can spot useful groupings, yet the cultures and ages differ.
Camodeca et al. (2020) interviewed parents and teachers about why primary students with autism struggle in school. Their themes match the target’s Group 2: too much screen time and social trouble hurt participation. The new study adds numbers to those stories.
Appelqvist-Schmidlechner et al. (2020) surveyed young adults with autism and found social ties and daily skills drive mental health. The target study shows the same link starts earlier—kids in the healthy-engaged group already have those protective factors.
Rzepecka et al. (2011) showed poor sleep plus anxiety fuels behavior problems. The target study hints that high screen time may ride the same sleep-anxiety pathway, since that group shows both social and school issues.
Why it matters
You can screen for these three patterns with simple parent questions. If a child lands in the high-screen, low-engagement group, start sleep and social-skills targets before academic ones. Quick triage saves time and gets faster gains.
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02At a glance
03Original abstract
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.
Autism research : official journal of the International Society for Autism Research, 2023 · doi:10.1002/aur.2843