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A Meta-Analytical Review of the Genetic and Environmental Correlations between Reading and Attention-Deficit Hyperactivity Disorder Symptoms and Reading and Math.
Daucourt, Mia C; Erbeli, Florina; Little, Callie W; Haughbrook, Rasheda; Hart, Sara A.
Affiliation
  • Daucourt MC; Florida State University, Department of Psychology, Tallahassee, FL, USA.
  • Erbeli F; Texas A&M University, Department of Educational Psychology, College Station, TX, USA.
  • Little CW; University of New England, School of Psychology & Behavioural Sciences, Armidale, Australia.
  • Haughbrook R; Florida State University, Department of Psychology, Tallahassee, FL, USA.
  • Hart SA; Florida State University, Department of Psychology, Tallahassee, FL, USA.
Sci Stud Read ; 24(1): 23-56, 2020.
Article in En | MEDLINE | ID: mdl-32189961
ABSTRACT
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.
Key words

Full text: 1 Database: MEDLINE Type of study: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Language: En Journal: Sci Stud Read Year: 2020 Type: Article Affiliation country: United States

Full text: 1 Database: MEDLINE Type of study: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Language: En Journal: Sci Stud Read Year: 2020 Type: Article Affiliation country: United States