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The CBCL 1.5–5 and the identification of preschoolers with autism in Italy

Published online by Cambridge University Press:  31 May 2011

F. Muratori ,
A. Narzisi ,
R. Tancredi ,
A. Cosenza ,
S. Calugi ,
I. Saviozzi ,
E. Santocchi  and
S. Calderoni
F. Muratori*
Affiliation:
Division of Child Neurology and Psychiatry, Stella Maris Scientific Institute, University of Pisa, Italy
A. Narzisi
Affiliation:
Division of Child Neurology and Psychiatry, Stella Maris Scientific Institute, University of Pisa, Italy
R. Tancredi
Affiliation:
Division of Child Neurology and Psychiatry, Stella Maris Scientific Institute, University of Pisa, Italy
A. Cosenza
Affiliation:
Division of Child Neurology and Psychiatry, Stella Maris Scientific Institute, University of Pisa, Italy
S. Calugi
Affiliation:
Division of Child Neurology and Psychiatry, Stella Maris Scientific Institute, University of Pisa, Italy
I. Saviozzi
Affiliation:
Division of Child Neurology and Psychiatry, Stella Maris Scientific Institute, University of Pisa, Italy
E. Santocchi
Affiliation:
Division of Child Neurology and Psychiatry, Stella Maris Scientific Institute, University of Pisa, Italy
S. Calderoni
Affiliation:
Division of Child Neurology and Psychiatry, Stella Maris Scientific Institute, University of Pisa, Italy
*
*Address for correspondence: Professor F. Muratori, Division of Child Neurology and Psychiatry, University of Pisa – Stella Maris Scientific Institute, Via dei Giacinti, 2, I-56018 Calambrone (Pisa), Italy. (Email: [email protected])
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Abstract

Aims.

To study the potential use of child behaviour checklist (CBCL) 1.5–5 scales for the early identification of preschoolers at risk of autism.

Methods.

CBCL scores of three groups of preschoolers were compared: (1) an experimental group of 101 preschoolers with autism spectrum disorder (ASD); (2) a control group of 95 preschoolers with other psychiatric disorders (OPD); (3) a control group of 117 preschoolers with typical development (TD). One-way analysis of variance (ANOVA), logistic regression with odds ratio (OR) and receiver operating characteristic (ROC) analyses were performed.

Results.

ANOVA revealed that ASD and OPD had significantly higher scores in almost all CBCL scales than TD. ASD presented significantly higher scores than OPD on Withdrawn, Attention Problems and Pervasive Developmental Problems (PDP) scales. Logistic regression analysis demonstrated that these same CBCL scales have validity in predicting the presence of an ASD towards both TD and OPD. ROC analysis indicated high sensitivity and specificity for PDP (0.85 and 0.90) and Withdrawn (0.89 and 0.92) scales when ASD is compared to TD. Specificity (0.60 for PDP and 0.65 for Withdrawn) decreases when comparing ASD and OPD

Conclusions.

The PDP and Withdrawn scales have a good predictive validity so that they could be proposed as a first-level tool to identify preschoolers at risk of autism in primary care settings. Problems regarding the lower specificity when comparing ASD v. OPD are discussed.

Keywords

Autistic disorderbehaviourearly diagnosisquestionnaires
Type
Original Articles
Information
Epidemiology and Psychiatric Sciences , Volume 20 , Issue 4 , December 2011 , pp. 329 - 338
Copyright
Copyright © Cambridge University Press 2011

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