Identifying Associations Among Co-Occurring Medical Conditions in Children With Autism Spectrum Disorders

Ann M Neumeyer1, Julia Anixt2, James Chan3

  • 1Lurie Center for Autism, MassGeneral Hospital for Children (AM Neumeyer), Harvard Medical School, Lexington, Mass.

Academic Pediatrics
|July 28, 2018
PubMed

Insights

Children with autism spectrum disorder (ASD) frequently have co-occurring medical issues. This study identified new, significant associations between conditions like feeding, speech, and sleep disorders in children with ASD.

Area of Science:

  • Pediatric Medicine
  • Neurodevelopmental Disorders
  • Medical Genetics

Background:

  • Autism spectrum disorder (ASD) is frequently accompanied by various medical conditions.
  • Understanding co-occurring conditions in ASD is crucial for diagnosis and treatment.
  • Previous research has identified some common comorbidities, but less is known about their specific co-occurrence patterns.

Purpose of the Study:

  • To identify statistically significant associations among co-occurring medical conditions in children with ASD.
  • To improve the understanding, identification, and treatment of these associated disorders.
  • To explore potential common pathways underlying these comorbidities.

Main Methods:

  • A study of 2114 children (17 months–5 years) and 1221 children (6–17 years) with ASD.
  • Clinician-reported diagnoses were grouped into 12 core conditions.
  • Statistical analysis identified pairs of conditions with significantly higher or lower co-occurrence than expected.

Main Results:

  • Previously known associations, like sleep disorders and anxiety in older children, were confirmed.
  • New associations were found, including feeding disorders with sleep disorders (younger children), constipation with sleep disorders, feeding disorders with speech disorders, and constipation with speech disorders.

Conclusions:

  • New associations among co-occurring medical conditions in children with ASD have been identified.
  • These findings may help in understanding common underlying pathways.
  • Further research can leverage these associations for improved clinical management.
Abstract

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