Latent class analysis of ADHD neurodevelopmental and mental health comorbidities
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Latent class analysis of ADHD neurodevelopmental and mental health comorbidities

Filetype[PDF-558.30 KB]


  • English
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    Details:

    • Alternative Title:
      J Dev Behav Pediatr
    • Personal Author:
    • Description:
      Objective

      Many children diagnosed with attention-deficit/hyperactivity disorder (ADHD) experience co-occurring neurodevelopmental and psychiatric disorders, and those who do often exhibit higher levels of impairment than children with ADHD alone. This study provides a latent class analysis (LCA) approach to categorizing children with ADHD into comorbidity groups, evaluating condition expression and treatment patterns among children in each group.

      Method

      Parent-reported data from a large probability-based national sample of children diagnosed with ADHD (2014 National Survey of the Diagnosis and Treatment of ADHD and Tourette Syndrome) were used for an LCA to identify groups of children with similar groupings of neurodevelopmental and psychiatric comorbidities among children with current ADHD (n=2,495). Differences between classes were compared using multivariate logistic regressions.

      Results

      The best LCA solution placed children who were indicated to have ADHD into four classes: (low comorbidity (LCM) (64.5%), predominantly developmental disorders (PDD) (13.7%), predominantly internalizing disorders (PID) (18.5%), and high comorbidity (HCM) (3.3%)). Children belonging to the HCM class were most likely to have a combined ADHD subtype and the highest number of impaired domains. Children belonging to the PDD class were most likely to be receiving school services, while children in the PID class were more likely to be taking medication than children belonging to the LCM class who were least likely to receive psychosocial treatments.

      Conclusion

      Latent classes based on co-occurring psychiatric conditions predicted use of varied treatment types. These findings contribute to the characterization of the ADHD phenotype and may help clinicians identify how services could best be organized and coordinated in treating ADHD.

    • Subject:
    • Source:
      J Dev Behav Pediatr. 39(1):10-19
    • Pubmed ID:
      28902066
    • Pubmed Central ID:
      PMC5747544
    • Document Type:
      Journal Article
    • Funding:
      CC999999/Intramural CDC HHS/United States
    • Collection(s):
      CDC Public Access
    • Main Document Checksum:
    • File Type:

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