Sleep pattern consistency and autism spectrum disorder in U.S. children: Associations and identification of high-risk subgroups.
Messy bedtimes almost double the odds of parent-reported autism, especially for low-income girls with other diagnoses.
01Research in Context
What this study did
Ahmmad et al. (2026) looked at 49,050 U.S. kids from the National Survey of Children’s Health.
Parents answered two questions: how steady their child’s bedtime and wake-time were, and whether a doctor had ever said the child has autism.
The team then checked if messy sleep routines raised the odds of an ASD label, especially for girls, boys, low-income homes, or kids with other diagnoses.
What they found
Children with poor sleep routines were almost twice as likely to have parent-reported ASD.
Long, steady sleep lowered the odds a little, but the big story was the harm of chaotic bedtimes.
The risk jumped highest for low-income girls who also had ADHD, anxiety, or depression.
How this fits with other research
Carter Leno et al. (2021) warned that early sleep loss can worsen autism traits; Roungu now shows the flip side—chaotic routines may help push a child toward the diagnosis in the first place.
Whaling et al. (2025) used the same survey and found autistic kids rarely meet sleep guidelines; Roungu extends that by putting a number on the risk for the general population.
Wang et al. (2022) linked poor sleep to stronger core symptoms through odd gaze patterns; Roungu agrees sleep matters, but finds the strongest signal in low-income girls with extra diagnoses, not gaze.
Why it matters
If you serve school-age kids, ask about bedtime regularity on day one. One clear action: write a bedtime routine goal into the plan for low-income girls with co-occurring conditions. A visual schedule, parent training, and weekly sleep log could cut future ASD risk and ease current behaviors.
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02At a glance
03Original abstract
BACKGROUND: Sleep behavior is closely linked to autism spectrum disorder (ASD) and may influence behavioral and neurological development. This study examined the association between sleep pattern consistency (SPC) and ASD among children aged 6-17 years. METHODS: This study used data from 63,866 children from the 2022-2023 National Survey of Children's Health (NSCH). ASD status was based on parent-reported provider diagnoses. SPC was constructed from sleep duration and bedtime regularity. Associations between SPC and ASD were examined using relative risks and multivariable logistic regression. Machine learning methods predicted individualized ASD profiles and identified high-risk subgroups. Model performance was evaluated using discrimination and calibration metrics. RESULTS: The cohort showed 4.41 % ASD prevalence, mean age 11.9 years, 51.8 % male, 62.4 % healthy weight, 28.9 % poor sleep routines, 28.8 % lower income, 40.5 % co-occurring disorders, and 42.4 % with medication. Children with poor sleep routines (PSR) demonstrated a significantly higher likelihood of ASD (aOR: 1.92; 95 % CI: 1.64-2.25), whereas long sleep with regularity (LSR) was associated with a lower likelihood (aOR: 0.81; 95 % CI: 0.70-0.94). Other correlated factors included male sex (aOR: 3.83, p < 0.001), underweight (aOR: 1.28, p < 0.001), and overweight (aOR: 1.39, p < 0.001). Among female children from low-income households with co-occurring conditions, PSR patterns were associated with higher predicted ASD probability (∼12 %, p = 0.002), whereas healthy sleep routine (HSR) showed substantially lower predicted probabilities. CONCLUSION: SPC was significantly associated with ASD. These findings highlight the potential relevance of sleep health in relation to developmental outcomes and ASD screening, particularly among higher-risk subgroups.
Research in developmental disabilities, 2026 · doi:10.1016/j.ridd.2025.105201