Inhibition deficits in individuals with intellectual disability: a meta-regression analysis

J Intellect Disabil Res. 2014 Jan;58(1):3-16. doi: 10.1111/jir.12068. Epub 2013 Jul 31.

Abstract

Background: Individuals with intellectual disabilities (ID) are characterised by inhibition deficits; however, the magnitude of these deficits is still subject to debate. This meta-analytic study therefore has two aims: first to assess the magnitude of inhibition deficits in ID, and second to investigate inhibition type, age, IQ and the presence/absence of comorbid problems as potential moderators of effect sizes.

Method: Twenty-eight effect sizes comparing ID and age matched normal controls on inhibition tasks were included in a random effects meta-regression. Moderators were age, IQ, inhibition type and presence/absence of comorbid disorder.

Results: The analysis showed a medium to large inhibition deficit in ID. Inhibition type significantly moderated effect size, whereas age and comorbid disorder did not. IQ significantly moderated effect size indicating increasing effect size with decreasing IQ, but only in studies that included a sample of ID participants with mean IQ > 70. The analysis indicated comparable deficits in behavioural inhibition and interference control, but no significant deficits in cognitive inhibition and motivational inhibition.

Conclusions: These results indicate that ID is characterised by a medium to large inhibition deficit in individuals with ID. ID seems not to be characterised by deficits in cognitive and motivational inhibition, which might indicate that distinct processes underlie distinct inhibition capacities.

Keywords: comorbidity; executive function; inhibition; intellectual disabilities; interference control; meta-regression.

Publication types

  • Meta-Analysis
  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Humans
  • Inhibition, Psychological*
  • Intellectual Disability / epidemiology*
  • Intellectual Disability / psychology*
  • Neuropsychological Tests
  • Regression Analysis