The predictive power of combined neuropsychological measures for attention-deficit/hyperactivity disorder in children.
The present study explores the predictive power of seven neuropsychological assessment tools used in combination in classifying children with attention-deficit/hyperactivity disorder (ADHD). Twenty-one ADHD boys and 22 community control children participated. Group differences were significant on the continuous performance test only; however, battery analysis did increase overall predictive power, which was moderate. This study highlights the difficulty in identifying consistent mean differences on tests of frontal/executive functioning across studies, as well as the need to assess the predictive validity of these tests in classifying children with ADHD. The study suggests that these tests may provide greater predictive validity when used in combination. Inconsistencies in the literature are discussed, with consideration of research methodology, the heterogeneity of the ADHD population, and comorbid diagnoses.
Perugini
E M
EM
University of Connecticut, Hartford Hospital and the Institute of Living, Hartford, Connecticut, USA.
Harvey
E A
EA
Lovejoy
D W
DW
Sandstrom
K
K
Webb
A H
AH
D001288:Attention; D001289:Attention Deficit Disorder with Hyperactivity / Q000175:diagnosis*; D003072:Cognition Disorders / Q000175:diagnosis; D005260:Female; D006801:Humans; D008297:Male; D009483:Neuropsychological Tests / Q000706:statistics & numerical data*; D011237:Predictive Value of Tests; D011594:Psychometrics / Q000706:statistics & numerical data; D011597:Psychomotor Performance; D012016:Reference Values; D015203:Reproducibility of Results; D018570:Risk Assessment