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What is Variation?01:14

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Onset patterns in autism: Variation across informants, methods, and timing.

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Regressive onset in autism spectrum disorder (ASD) is common, contrary to previous beliefs. Current measurement methods may inaccurately report regression rates, questioning their reliability for diagnosing ASD.

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Area of Science:

  • Developmental Psychology
  • Neurodevelopmental Disorders
  • Autism Spectrum Disorder Research

Background:

  • Previous research indicated low rates of regressive onset in autism spectrum disorder (ASD).
  • Recent findings suggest regressive onset may be more prevalent and potentially under-reported.
  • Variations in measurement methods could influence reported rates of regression in ASD.

Purpose of the Study:

  • To systematically investigate how different measurement methods affect the reported rates of regression in autism spectrum disorder (ASD).
  • To compare prospective versus retrospective and categorical versus dimensional assessments of symptom onset.
  • To evaluate the accuracy and agreement of various methods used to measure developmental trajectories in infants.

Main Methods:

  • Prospective assessment of infants with and without a family history of ASD up to age three.
  • Collection of symptom onset reports using four measures varying informant, decision type, and timing.
  • Application of latent class growth models to classify individual developmental trajectories.

Main Results:

  • A majority of children with ASD showed regressive onset using prospective dimensional ratings (88% examiner, 69% parent).
  • Retrospective or categorical measures yielded significantly lower regression rates (29-47%).
  • Low agreement was observed between different measurement methods, highlighting potential inaccuracies.

Conclusions:

  • Declining developmental trajectories, indicative of regressive onset, are common in children with ASD.
  • The accuracy of widely used methods for measuring ASD onset is questionable.
  • Findings challenge the reliability of current measurement tools and suggest a need for revised methodologies.