A Meta-Analytical Review of the Genetic and Environmental Correlations between Reading and Attention-Deficit Hyperactivity Disorder Symptoms and Reading and Math.
Mia C DaucourtFlorina ErbeliCallie W LittleRasheda HaughbrookSara A HartPublished in: Scientific studies of reading : the official journal of the Society for the Scientific Study of Reading (2019)
According to the Multiple Deficit Model, comorbidity results when the genetic and environmental risk factors that increase the liability for a disorder are domain-general. In order to explore the role of domain-general etiological risk factors in the co-occurrence of learning-related difficulties, the current meta-analysis compiled 38 studies of third through ninth-grade children to estimate the average genetic, shared environmental, and nonshared environmental correlations between reading and attention-deficit/hyperactivity disorder (ADHD) symptoms, and reading and math, as well as their potential moderators. Results revealed average genetic, shared and nonshared environmental correlations between reading and ADHD symptoms of .42, .64, and .20, and reading and math of .71, .90, and .56, suggesting that reading and math may have more domain-general risk factors than reading and ADHD symptoms. A number of significant sources of heterogeneity were also found and discussed. These results have important implications for both intervention and classification of learning disabilities.
Keyphrases
- attention deficit hyperactivity disorder
- working memory
- risk factors
- autism spectrum disorder
- human health
- genome wide
- systematic review
- randomized controlled trial
- life cycle
- copy number
- machine learning
- deep learning
- single cell
- sleep quality
- young adults
- drinking water
- case control
- climate change
- depressive symptoms