📄 psychiatry and clinical psychology

Associations Between Social Responsiveness and Sleep Disruption are Modulated by Chronotype in Early Adolescence: Cross-Sectional and Prospective Findings from 10,108 Participants of the Adolescent Brain and Cognitive Development (ABCD) Study

This study of over 10,000 participants from the ABCD Study reveals that social responsiveness traits in early adolescence are prospectively associated with sleep disruption independent of various confounding factors, with this relationship being significantly stronger in evening chronotypes.

Original authors: Wyse, C., Vasconcelos, M., Nordon, E., phyo, a., Lopez, L. M.

Published 2026-06-23

📖 5 min read🧠 Deep dive

CC BY 4.0

Original authors: Wyse, C., Vasconcelos, M., Nordon, E., phyo, a., Lopez, L. M.

Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). ⚕️ This is an AI-generated explanation of a preprint that has not been peer-reviewed. It is not medical advice. Do not make health decisions based on this content. Read full disclaimer

The Big Picture: A Sleepy Detective Story

Imagine the human brain as a bustling city. In this city, there are two very important departments: the Social Department (how we talk, make friends, and understand others) and the Sleep Department (how we rest and reset our internal clocks).

For a long time, scientists have noticed that people with autism often have trouble sleeping. But they didn't know which came first: Did the sleep trouble cause the social difficulties, or did the social difficulties cause the sleep trouble? Or were they just two separate problems happening at the same time?

This study acts like a massive detective agency. Instead of looking at just a few people in a hospital, the researchers looked at 10,108 children across the United States (from the ABCD Study). They wanted to see if the "Social Department" and the "Sleep Department" were connected in the general population, even in kids who didn't have a formal autism diagnosis.

The Tools: Measuring the "Social" and the "Sleep"

To solve the mystery, the researchers used two main tools:

The Social Responsiveness Scale (SRS): Think of this as a "Social Thermometer." It doesn't diagnose autism; instead, it measures how "socially smooth" a child is. Everyone has a little bit of this trait, just like everyone has a little bit of height. Some kids are very smooth socially, while others struggle a bit more with making friends or understanding social cues. The researchers measured this at age 11.
The Sleep Disturbance Scale: This is like a "Sleep Quality Report Card." It asks parents how well their child sleeps. Do they have trouble falling asleep? Do they wake up a lot? Do they seem tired during the day?

The Investigation: What They Found

The researchers checked these reports at age 11 and then again at age 13. Here is what they discovered:

1. The Connection is Real and Independent
They found a clear link: Children with higher "Social Thermometer" scores (meaning more social challenges) also had worse "Sleep Report Cards."

The Analogy: Imagine two gears in a machine. Even if you remove all the other parts (like anxiety, screen time, or how much money the family makes), these two gears still turn together. The study proved that the link between social challenges and sleep trouble exists on its own, without needing other factors to explain it.

2. The "Night Owl" Factor (Chronotype)
This is where it gets interesting. The researchers looked at Chronotype, which is just a fancy word for whether you are naturally a "Morning Lark" or a "Night Owl."

The Discovery: The link between social challenges and sleep trouble was strongest in the "Night Owls" (evening types).
The Analogy: Imagine the "Night Owls" are trying to run a race while wearing heavy boots, while the "Morning Larks" are running in sneakers. For the Night Owls, having social challenges made their sleep problems much worse. The "Morning Larks" didn't feel this heavy weight as much.

3. It Sticks Around
The study didn't just look at one day; they looked two years apart. The connection they saw at age 11 was still there at age 13. It wasn't a fluke; it was a lasting pattern.

4. The Family Clue
The researchers noticed that sleep trouble tended to run in families. If one sibling had sleep issues, their brother or sister was likely to have them too, even after accounting for other factors. This suggests that there might be a shared "family blueprint" (genetics or shared environment) that affects how sleep and social skills interact.

What They Did NOT Find

The study also looked at something called Social Jetlag. This is the feeling of being out of sync—like when your body wants to sleep at 10 PM, but school forces you to wake up at 7 AM.

The Result: While "Night Owls" definitely had more Social Jetlag, the study found that Social Jetlag itself wasn't the main cause of the link between social challenges and sleep trouble. The link was about the quality of sleep, not just the timing mismatch.

The Bottom Line

This paper tells us that in early adolescence, the way a child handles social situations is deeply tied to how well they sleep. This isn't just because they are anxious or because they are on their phones too much; it's a fundamental connection.

Furthermore, this connection is like a "double trouble" for Night Owls. If a child is naturally an evening person and also struggles with social cues, their sleep problems are likely to be more severe.

The researchers conclude that sleep and our internal body clocks (circadian rhythms) might be a key piece of the puzzle in understanding autism traits. They suggest that fixing sleep issues early on might be a way to help, but they emphasize that this study is a snapshot in time and more research is needed to understand the "why" and "how" behind these gears turning together.

Technical Summary: Associations Between Social Responsiveness and Sleep Disturbance Modulated by Chronotype in Early Adolescence

Problem Statement
Sleep disturbance is highly prevalent in individuals with neurodevelopmental disorders, particularly autism spectrum disorder (ASD). However, it remains unclear whether these sleep issues are an endophenotype (a primary biological marker) of the condition or a secondary consequence of comorbid behaviors, lifestyle factors, or medication use. Previous research has been limited by small sample sizes, reliance on clinical case-control designs (which often exclude participants with intellectual disabilities or include those on sleep-modifying medications), and a lack of longitudinal data capturing developmental changes across adolescence. Furthermore, objective sleep assessment methods are often poorly tolerated in clinical populations. This study addresses the need for large-scale, population-based evidence to determine if autistic traits are independently associated with sleep disturbance and circadian misalignment, independent of demographic, lifestyle, and behavioral confounders.

Methodology
The study leveraged data from the Adolescent Brain Cognitive Development (ABCD) Study, a longitudinal, population-based cohort of over 11,000 children in the US. The analysis focused on 10,108 participants assessed at two timepoints: Year 1 (age 11, early adolescence) and Year 3 (age 13, mid-adolescence).

Exposure: Autistic traits were quantified using the Social Responsiveness Scale (SRS), a caregiver-completed questionnaire measuring social cognition, communication, and mannerisms on a continuous spectrum.
Outcomes: Sleep disturbance was assessed via the Sleep Disorders Scale for Children (SDSC), a 26-item caregiver inventory yielding a total score (higher scores indicate poorer sleep quality). Social jetlag was calculated as the absolute difference in mid-sleep time between free days and school days. Chronotype was derived from the Youth Munich Chronotype Questionnaire (MCTQ).
Covariates: Models controlled for demographics (sex, ethnicity, socioeconomic position), lifestyle factors (physical activity, screen time), pubertal stage, and behavioral comorbidities (internalizing and externalizing symptoms via the Child Behaviour Checklist).
Statistical Analysis: Sequential hierarchical linear mixed-effects models were employed. These models included random intercepts for individuals nested within families to account for sibling correlations and repeated measures. The analysis tested cross-sectional associations at age 11 and prospective associations predicting sleep disturbance at age 13, while examining interactions with chronotype and sex.

Key Contributions and Results
The study provides population-level evidence that autistic traits are independently and longitudinally associated with sleep disturbance in early adolescence.

Independent Association: There was a significant cross-sectional association between SRS scores and sleep disturbance at age 11 ( $\beta = 0.12$ , 95% CI 0.07–0.17; $p < 0.001$ ). This association persisted at age 13 and remained significant after adjusting for sex, ethnicity, socioeconomic position, physical activity, sedentary behavior, anxiety, and depression.
Chronotype Modulation: The relationship between social responsiveness and sleep disturbance was significantly modulated by chronotype. The association was stronger in evening types and intermediate types compared to morning types ( $\beta = 0.32$ for evening types; $p = 0.035$ ).
Prospective Findings: Early adolescent social responsiveness (age 11) was prospectively associated with sleep disturbance at age 13, suggesting a stable trajectory.
Familial Clustering: Sleep disturbance outcomes showed significant clustering among siblings (Intraclass Correlation Coefficient = 0.37), indicating shared familial or genetic mechanisms independent of individual-level covariates.
Sex Differences: The association between autistic traits and sleep disturbance was sex-dependent, with females exhibiting a stronger association than males.
Social Jetlag: Unlike sleep disturbance, autistic traits (SRS) were not significantly associated with social jetlag in the fully adjusted model, although chronotype itself was a strong predictor of social jetlag.

Significance and Claims
The paper posits that these findings contribute to the growing evidence that sleep and circadian timing disruption may play a primary, mechanistic role in the etiology of autism, rather than being merely a secondary symptom.

Endophenotype Hypothesis: The independent and longitudinal nature of the association, even in a population excluding diagnosed autism cases, supports the hypothesis that sleep and circadian disruption are embedded in the polygenic architecture of autism as an endophenotype.
Developmental Critical Periods: The findings align with animal models suggesting that sleep disturbance in early life (but not necessarily adulthood) can induce autistic-like behaviors and that these effects are reversible with sleep manipulation. This implies that early-life circadian disruption could be a risk factor and a potential intervention point.
Mechanistic Insight: The modulation of the association by chronotype reinforces the regulatory role of circadian mechanisms in the relationship between social behavior and sleep.
Limitations and Future Directions: The authors note that the study relies on caregiver-reported data and excludes children with diagnosed autism or intellectual disability at baseline, meaning the results reflect a continuum of traits rather than a clinical diagnosis. They emphasize the need for future research to utilize objective sleep monitoring and to investigate whether interventions targeting circadian rhythms from birth can ameliorate neurodevelopmental trajectories in susceptible children.

The study concludes that sleep disturbance and autistic traits are closely linked across early adolescence, mediated by shared circadian or genetic mechanisms, and that this relationship is distinct from the effects of comorbid behavioral conditions.