Citation
Law, Evelyn C.; Sideridis, Georgios D.; Alkhadim, Ghadah; Snyder, Jenna; & Sheridan, Margaret A. (2022). Classifying Young Children with Attention-Deficit/Hyperactivity Disorder Based on Child, Parent, and Family Characteristics: A Cross-Validation Study. International Journal of Environmental Research and Public Health, 19(15), 9195. PMCID: PMC9368489Abstract
We aimed to identify subgroups of young children with differential risks for ADHD, and cross-validate these subgroups with an independent sample of children. All children in Study 1 (N = 120) underwent psychological assessments and were diagnosed with ADHD before age 7. Latent class analysis (LCA) classified children into risk subgroups. Study 2 (N = 168) included an independent sample of children under age 7. A predictive model from Study 1 was applied to Study 2. The latent class analyses in Study 1 indicated preference of a 3-class solution (BIC = 3807.70, p < 0.001). Maternal education, income-to-needs ratio, and family history of psychopathology, defined class membership more strongly than child factors. An almost identical LCA structure from Study 1 was replicated in Study 2 (BIC = 5108.01, p < 0.001). Indices of sensitivity (0.913, 95% C.I. 0.814-0.964) and specificity (0.788, 95% C.I. 0.692-0.861) were high across studies. It is concluded that the classifications represent valid combinations of child, parent, and family characteristics that are predictive of ADHD in young children.URL
http://dx.doi.org/10.3390/ijerph19159195Reference Type
Journal ArticleYear Published
2022Journal Title
International Journal of Environmental Research and Public HealthAuthor(s)
Law, Evelyn C.Sideridis, Georgios D.
Alkhadim, Ghadah
Snyder, Jenna
Sheridan, Margaret A.