Attention-deficit/hyperactivity disorder dimensionality: the reliable 'g' and the elusive 's' dimensions

Attention-deficit/hyperactivity disorder dimensionality: the reliable 'g' and the elusive 's' dimensions

Author Wagner, Flavia Google Scholar
Martel, Michelle M. Google Scholar
Cogo-Moreira, Hugo Autor UNIFESP Google Scholar
Moreira Maia, Carlos Renato Google Scholar
Pan, Pedro Mario Autor UNIFESP Google Scholar
Rohde, Luis Augusto Google Scholar
Salum, Giovanni Abrahao Google Scholar
Abstract The best structural model for attention-deficit/hyperactivity disorder (ADHD) symptoms remains a matter of debate. The objective of this study is to test the fit and factor reliability of competing models of the dimensional structure of ADHD symptoms in a sample of randomly selected and high-risk children and pre-adolescents from Brazil. Our sample comprised 2512 children aged 6-12 years from 57 schools in Brazil. The ADHD symptoms were assessed using parent report on the development and well-being assessment (DAWBA). Fit indexes from confirmatory factor analysis were used to test unidimensional, correlated, and bifactor models of ADHD, the latter including "g" ADHD and "s" symptom domain factors. Reliability of all models was measured with omega coefficients. A bifactor model with one general factor and three specific factors (inattention, hyperactivity, impulsivity) exhibited the best fit to the data, according to fit indices, as well as the most consistent factor loadings. However, based on omega reliability statistics, the specific inattention, hyperactivity, and impulsivity dimensions provided very little reliable information after accounting for the reliable general ADHD factor. Our study presents some psychometric evidence that ADHD specific ("s") factors might be unreliable after taking common ("g" factor) variance into account. These results are in accordance with the lack of longitudinal stability among subtypes, the absence of dimension-specific molecular genetic findings and non-specific effects of treatment strategies. Therefore, researchers and clinicians might most effectively rely on the "g" ADHD to characterize ADHD dimensional phenotype, based on currently available symptom items.
Keywords Bifactor model
Hierarchical
ADHD
Confirmatory factor analysis
ImpulsivityDeficit Hyperactivity Disorder
Dsm-Iv Adhd
Latent Structure
Taxometric Analysis
Bifactor Model
Reliability
Subtypes
Alpha
Scale
Twin
Language English
Sponsor Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul (FAPERGS)
Date 2016
Published in European Child & Adolescent Psychiatry. New York, v. 25, n. 1, p. 83-90, 2016.
ISSN 1018-8827 (Sherpa/Romeo, impact factor)
Publisher Springer
Extent 83-90
Origin http://dx.doi.org/10.1007/s00787-015-0709-1
Access rights Closed access
Type Article
Web of Science ID WOS:000367594400010
URI http://repositorio.unifesp.br/handle/11600/46062

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