Psychiatry Research
Volume 170, Issue 2 , Pages 192-198, 30 December 2009

ADHD latent class clusters: DSM-IV subtypes and comorbidity

  • Josephine Elia

      Affiliations

    • The Children's Hospital of Philadelphia, Philadelphia, PA, United States
    • The University of Pennsylvania, Philadelphia, PA, United States
    • Corresponding Author InformationCorresponding author. The Children's Hospital of Philadelphia, Science Center Suite 200; 3440 Market St. Philadelphia, PA. 19104-6209, United States.
  • ,
  • Mauricio Arcos-Burgos

      Affiliations

    • University of Miami, Miami, FL, United States
  • ,
  • Kelly L. Bolton

      Affiliations

    • National Institutes of Health, National Human Genome Research Institute, Bethesda, MD, United States
  • ,
  • Paul J. Ambrosini

      Affiliations

    • Drexel University College of Medicine, Philadelphia, PA, United States
  • ,
  • Wade Berrettini

      Affiliations

    • The University of Pennsylvania, Philadelphia, PA, United States
  • ,
  • Maximilian Muenke

      Affiliations

    • National Institutes of Health, National Human Genome Research Institute, Bethesda, MD, United States

Received 28 December 2007; received in revised form 22 August 2008; accepted 13 October 2008.

Abstract 

ADHD (Attention Deficit Hyperactivity Disorder) has a complex, heterogeneous phenotype only partially captured by Diagnostic and Statistical Manual of Mental Disorders (DSM-IV) criteria. In this report, latent class analyses (LCA) are used to identify ADHD phenotypes using K-SADS-IVR (Schedule for Affective Disorders & Schizophrenia for School Age Children-IV-Revised) symptoms and symptom severity data from a clinical sample of 500 ADHD subjects, ages 6–18, participating in an ADHD genetic study. Results show that LCA identified six separate ADHD clusters, some corresponding to specific DSM-IV subtypes while others included several subtypes. DSM-IV comorbid anxiety and mood disorders were generally similar across all clusters, and subjects without comorbidity did not aggregate within any one cluster. Age and gender composition also varied. These results support findings from population-based LCA studies. The six clusters provide additional homogenous groups that can be used to define ADHD phenotypes in genetic association studies. The limited age ranges aggregating in the different clusters may prove to be a particular advantage in genetic studies where candidate gene expression may vary during developmental phases. DSM-IV comorbid mood and anxiety disorders also do not appear to increase cluster heterogeneity; however, longitudinal studies that cover period of risk are needed to support this finding.

Keywords: Children, DSM-IV, Oppositional defiant disorder

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PII: S0165-1781(08)00356-9

doi:10.1016/j.psychres.2008.10.008

Psychiatry Research
Volume 170, Issue 2 , Pages 192-198, 30 December 2009