Short Report: Exploring the extent to which Intellectual Disability is undiagnosed within children attending

Lauren Delahunty1, Anne O'Hare2, Louise Marryat3

  • 1Salvesen Mindroom Research Centre, University of Edinburgh, Edinburgh, UK; NHS Greater Glasgow and Clyde, Glasgow, UK.

Insights

Many children with Intellectual Disability (ID) remain undiagnosed. Factors like multiple health issues and parental unemployment may indicate ID, prompting further investigation by pediatricians.

Area of Science:

  • Developmental Pediatrics
  • Child Psychology
  • Clinical Genetics

Background:

  • Intellectual Disability (ID) is under-diagnosed globally, leading to missed opportunities for intervention.
  • Children with ID often experience significant physical and mental health challenges.
  • Accurate identification of ID is crucial for timely support and improved outcomes.

Purpose of the Study:

  • To identify clinical features and characteristics associated with Intellectual Disability in children aged 6-18.
  • To explore factors that increase the likelihood of an ID diagnosis in a pediatric developmental clinic population.
  • To assess the predictive accuracy of routinely collected pediatric data for identifying ID.

Main Methods:

  • A cohort of 126 children (aged 6-18) attending a pediatric developmental clinic was studied.
  • Intellectual Disability was defined using DSM-5 criteria, assessed via WISC-IV IQ (<70) and ABAS adaptive behavior (<70).
  • Logistic regression analyzed associations between clinical features and ID diagnosis, using structured clinical records.

Main Results:

  • 22% of the children met the criteria for Intellectual Disability.
  • Higher odds of ID were linked to: no other neurodevelopmental diagnosis, multiple health problems, prior genetic testing, maternal smoking, and parental unemployment.
  • Routinely collected pediatric data had limited accuracy in predicting ID.

Conclusions:

  • The combination of multiple health concerns and parental unemployment may serve as a flag for pediatricians to consider further ID screening.
  • Current pediatric data collection methods are insufficient for reliably identifying children with ID.
  • Further research with larger samples is needed to develop algorithms for improved ID identification in clinical settings.

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