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Identifying Individuals With Intellectual Disability Within a Population Study.

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A new method effectively identifies individuals with intellectual disability (ID) in large population studies. This approach enables better research and policy to improve the health and well-being of the ID population.

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Area of Science:

  • Health Services Research
  • Developmental Psychology
  • Public Health

Background:

  • Longitudinal health outcomes for individuals with intellectual disability (ID) are not well understood.
  • Identifying individuals with ID in large population studies is crucial for generating new knowledge.
  • Existing population datasets lack efficient methods for identifying individuals with ID.

Purpose of the Study:

  • To develop and describe a novel method for identifying individuals with intellectual disability (ID) within large, population-level studies.
  • To enable the use of existing datasets for ID research and policy development.

Main Methods:

  • A secondary analysis of the National Longitudinal Study of Adolescent to Adult Health (Add Health) database was conducted.
  • The method was developed using three criteria for ID: intellectual functioning, adaptive functioning, and developmental period onset.
  • Variables from Waves I to III of the Add Health database were used to create an ID Indicator.

Main Results:

  • The developed method identified 441 adolescents meeting ID criteria within the Add Health sample.
  • Adolescents identified with ID had a mean age of 16.1 years at Wave I.
  • Key characteristics of the identified subsample included demographic factors and cognitive/adaptive functioning scores.

Conclusions:

  • A data-driven method was successfully developed to identify individuals with ID using common data elements.
  • This method allows researchers to leverage existing population data to address critical questions about ID.
  • The findings support improved research, policy, and interventions for the intellectual disability population.