Editorial: The Epidemiology and Cognitive Characteristics of Attention-Deficit/Hyperactivity Disorder Depend on How Strictly the Disorder Is Defined - 28/09/22
Résumé |
In this month’s issue of the Journal, Cordova et al.1 advance knowledge in our field by leveraging the Adolescent Brain Cognitive Development (ABCD) Study dataset to characterize the prevalence and comorbidities of attention-deficit/hyperactivity disorder (ADHD) in a large community sample. The ABCD dataset2 is useful because it is one of the largest samples of its kind (N = 11,878) and includes data from multiple measures and from multiple informants. This allows for sophisticated latent variable approaches to define ADHD from both a categorical and a dimensional perspective. Latent variables are variables that are not directly observed but are detected via measurement of other directly observed variables and statistical modeling.3
Le texte complet de cet article est disponible en PDF.| The authors have reported no funding for this work. |
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| Author Contributions Conceptualization: Aloi, Hulvershorn Writing – original draft: Aloi Writing – review and editing: Hulvershorn |
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| Disclosure: Dr. Hulvershorn has received grant or research support from the National Institutes of Health, the Substance Abuse and Mental Health Services Administration, the Indiana Family and Social Services Agency, Merck, and Greenwich Biosciences. Dr. Aloi has reported no biomedical financial interests or potential conflicts of interest. |
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| All statements expressed in this column are those of the authors and do not reflect the opinions of the Journal of the American Academy of Child and Adolescent Psychiatry. See the Guide for Authors for information about the preparation and submission of Editorials. |
Vol 61 - N° 10
P. 1221-1223 - octobre 2022 Retour au numéro
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