Classes of adolescents with disruptive behaviors in a general population sample.
BACKGROUND
To study disruptive behaviors adequately, we need to distinguish between individuals with different types of problems that may have a different etiology. The availability of a taxonomic system that helps in identifying homogeneous groups of individuals, with similar patterns of disruptive behaviors, is crucial to achieve this goal. Therefore, we examine which classes of preadolescents with symptoms of Attention Deficit/Hyperactivity Disorder (ADHD), Oppositional Defiant Disorder (ODD), and Conduct Disorder (CD) can be identified in the general population.


METHODS
Disruptive behaviors of 2,230 10-12 year olds from the Dutch general population were assessed with the Child Behavior Checklist and Youth Self-Report.


RESULTS
Latent class analysis revealed three classes of preadolescents: the first characterized by high scores on ADHD, ODD, and CD items; a second by high probabilities of ADHD and ODD symptoms; a third with low scores on all items.


CONCLUSIONS
Because classes of preadolescents with symptoms of only one type of disruptive behavior problems could not be identified, it can be questioned how useful separate diagnostic distinctions are in general population studies.
Sondeijker
Frouke E P L
FE
Dept. of Child & Adolescent Psychiatry, Erasmus Medical Centre Rotterdam/Sophia Children's Hospital, Dr. Molewaterplein 60, 3015 GJ, Rotterdam, The Netherlands.
Ferdinand
Robert F
RF
Oldehinkel
Albertine J
AJ
Veenstra
René
R
De Winter
Andea F
AF
Ormel
Johan
J
Verhulst
Frank C
FC
D000293:Adolescent; D000328:Adult; D001289:Attention Deficit Disorder with Hyperactivity / Q000175:diagnosis / Q000453:epidemiology; D019958:Attention Deficit and Disruptive Behavior Disorders / Q000145:classification* / Q000175:diagnosis / Q000453:epidemiology* / Q000523:psychology; D002648:Child; D019955:Conduct Disorder / Q000175:diagnosis / Q000453:epidemiology; D005260:Female; D005500:Follow-Up Studies; D006801:Humans; D008297:Male; D011159:Population Surveillance / Q000379:methods