Characterizing Key Correlates of Sleep Problems Across Rare Neurodevelopmental Genetic Disorders.
Sleep problems in rare genetic disorders are not all the same—check mood, anxiety, sensory issues, and age to choose the right fix.
01Research in Context
What this study did
Baker et al. (2025) looked at sleep problems in children with rare genetic neurodevelopmental disorders.
They asked parents to fill out sleep and behavior questionnaires.
The team then checked which traits predicted different kinds of sleep trouble.
What they found
Sleep issues were common, but no single pattern fit every child.
Low mood, worry, sensory sensitivities, and age each pointed to different sleep problems.
The take-home: pick the sleep target that matches the child’s profile.
How this fits with other research
Taylor et al. (2017) already showed the Children’s Sleep Habits Questionnaire works best in Down syndrome. K et al. now widen the lens, saying the same tool can guide target choice across many rare disorders.
McCavert et al. (2026) found high sleep disturbance in cerebral palsy yet could not link it to age or severity. K et al. agree that basic demographics don’t predict sleep, but they go further by naming mood, anxiety, and sensory issues as the real flags.
O'Reilly et al. (2004) proved a brief paired-choice assessment can find what keeps one child awake. K et al. add a checklist approach for groups: screen for mood, anxiety, and sensory issues first, then run the functional test if needed.
Why it matters
You can stop using one-size-fits-all sleep plans. Run the CSHQ, note the child’s mood, worry, and sensory scores, then pick the matching intervention—relaxation for anxiety, sensory diet for tactile defensiveness, or bedtime fading for older kids. This small shift can cut nights of guesswork down to one assessment cycle.
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02At a glance
03Original abstract
PURPOSE: Sleep problems are common in neurodevelopmental genetic disorders (NGD), with impacts on daytime functioning amplified in these individuals. However, despite their prevalence and clinical impact, correlates of sleep difficulties in this group remain poorly characterized. This study used a large cohort of individuals with several rare NGDs to (i) characterize sleep phenotypes across disorders; and (ii) examine predictors of poor sleep. METHODS: Parents of 173 individuals with rare NGDs including PTEN hamartoma tumor syndrome, SYNGAP1, NFIX, a mixed group of other NGDs (Mean age = 14.16 years, SD = 10.45) and 123 parents of neurotypical children (Mean age = 12.28 years, SD = 7.93) completed the Neurobehavioral Evaluation Tool (NET). The NET assessed sleep problems, social communication impairments, restricted and repetitive behaviors, executive functioning, and mood and anxiety symptoms. RESULTS: Group comparisons revealed that the SYNGAP1 group experienced the most severe sleep problems. Hierarchical regression models showed that the independent statistically significant predictors for each sleep problem varied. Depressed affect and emotion regulation predicted sleep initiation and maintenance difficulties, insistence on sameness and separation anxiety predicted bedtime resistance, age and depressed affect predicted early morning somnolence, while sensory sensitivities and anxiety symptoms predicted decreased sleep length. CONCLUSIONS: Findings highlight the elevated severity of sleep problems in NGDs. Correlates of specific sleep problems vary, providing further evidence to suggest that accurate assessment and diagnosis of sleep problems, and evaluation of correlates of sleep difficulties, is required in order to provide targeted interventions in rare NGDs.
Journal of autism and developmental disorders, 2025 · doi:10.1016/j.neures.2023.04.006