Latent class analysis of Child Behavior Checklist attention problems.
OBJECTIVE
To test whether attention problems in children are continuously distributed or categorically discrete, the authors performed latent class analyses (LCA) of items from the Attention Problems scale of the Child Behavior Checklist (CBCL) using data from the clinical and nonclinical samples used in the derivation of the CBCL syndromes.


METHODS
A CBCL was completed by a parent or guardian of each of 2,100 nonreferred children selected to be representative of U.S. nonreferred children and a demographically matched sample of 2,100 clinically referred children. Attention problems symptoms were subjected to LCA.


RESULTS
LCAs were consistent with the presence of 3 levels of symptom presentation in both samples. Children in the nonclinical sample were classified as having no symptoms, mild symptoms, or moderate symptoms. Children in the clinical group had mild, moderate, or severe symptoms.


CONCLUSIONS
These results suggest that child and adolescent psychiatric symptoms such as attention problems can be thought of as continuously distributed phenomena rather than discrete disease entities, lending support for an empirical approach to both clinical work and research. In addition, high prevalence rates of attention problems in both clinical and nonclinical samples suggest the need for careful screening of attention problems in clinic and academic settings.
Hudziak
J J
JJ
Division of Human Genetics, Center for Children, Youth, and Families, University of Vermont College of Medicine, Burlington 05405, USA. jhudziak@zoo.uvm.edu
Wadsworth
M E
ME
Heath
A C
AC
Achenbach
T M
TM
D000293:Adolescent; D001288:Attention / Q000502:physiology*; D019958:Attention Deficit and Disruptive Behavior Disorders / Q000175:diagnosis* / Q000453:epidemiology; D002648:Child; D002675:Child, Preschool; D005260:Female; D006801:Humans; D016013:Likelihood Functions; D008297:Male; D015233:Models, Statistical; D011581:Psychological Tests / Q000706:statistics & numerical data*; D011594:Psychometrics / Q000706:statistics & numerical data*; D014481:United States / Q000453:epidemiology