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Multimedia Battery for Assessment of Cognitive and Basic Skills in Mathematics BM-PROMA
Published on: August 28, 2021
Cognitive heterogeneity in Attention Deficit Hyperactivity Disorder: Implications for maths
Margarita Kanevski1,2, Josie N Booth3, Tracy M Stewart3
1Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.
Cognitive function, specifically executive functions (EF), better predicts children's math performance than an attention deficit hyperactivity disorder (ADHD) diagnosis. Identifying cognitive patterns offers more insight for math difficulties than diagnostic labels.
Area of Science:
- Neuroscience
- Developmental Psychology
- Educational Psychology
Background:
- Attention Deficit Hyperactivity Disorder (ADHD) is a neurodevelopmental disorder impacting executive functions (EF).
- Math performance deficits are common in children with ADHD, but the relationship between EF and math outcomes requires further clarification.
- Current diagnostic approaches may not fully capture the cognitive heterogeneity influencing academic achievement.
Purpose of the Study:
- To investigate whether executive functions (EF) or a clinical diagnosis of ADHD is a stronger predictor of math test performance in children.
- To explore cognitive patterns using hierarchical cluster analysis based on EF scores to identify subgroups with varying math abilities.
- To determine the implications of cognitive profiling versus diagnostic categorization for understanding and supporting children with math difficulties.
Main Methods:
- Recruited 44 drug-naive children from ADHD referral waiting lists.
- Assessed executive functions (EF), lower-level cognitive processes, and math performance.
- Grouped children categorically (ADHD diagnosis vs. subthreshold ADHD) and via hierarchical cluster analysis of EF scores.
Main Results:
- Children's diagnostic outcomes (ADHD vs. subthreshold) did not significantly differentiate math test performance.
- Hierarchical cluster analysis of EF scores generated distinct cognitive subgroups.
- These EF-based subgroups demonstrated significant differences in math test scores, indicating cognitive patterns are more informative than diagnostic labels.
Conclusions:
- Cognitive patterns, particularly executive function profiles, are more informative than ADHD diagnostic status for predicting math performance.
- This suggests a need to move beyond categorical diagnoses towards cognitive assessments for identifying children with math difficulties.
- Understanding individual cognitive profiles has significant implications for tailoring remedial interventions and educational support for math challenges.
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