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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: f.muratori@inpe.unipi.it)
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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 ASD presented significantly higher scores than OPD on Withdrawn, Attention Problems and Pervasive Developmental Problems (PDP) scales.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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References

Achenbach, TM, Rescorla, L (2001). Manual for the ASEBA School-Age Forms and Profiles. University of Vermont, Research Center for Children, Youth and Families: Burlington, VT.Google Scholar
Achenbach, TM, Rescorla, L (2000). Manual for the ASEBA Preschool Forms and Profiles: An Integrated System of Multi-Informant Assessment. University of Vermont, Department of Psychiatry: Burlington, VT.Google Scholar
APA (2000). Diagnostic and Statistical Manual of Mental Disorders, 4th edn text rev. (DSM-IV-TR). APA: Washington, DC.Google Scholar
Barbaro, J, Dissanayake, C (2009). Autism spectrum disorders in infancy and toddlerhood: a review of the evidence on early signs, early identification tools, and early diagnosis. Journal of Developmental and Behavioral Pediatrics 30, 447–459.CrossRefGoogle ScholarPubMed
Bölte, S, Dickhut, H, Poustka, F (1999). Patterns of parent-reported problems indicative in autism. Psychopathology 32, 93–97.CrossRefGoogle ScholarPubMed
Briggs-Gowan, MJ, Carter, AS (2006). BITSEA Brief Infant-Toddler Social and Emotional Assessment Examiner's Manual. Harcourt Assessment: San Antonio, TX.Google Scholar
Center for Disease Control and Prevention (2007). Prevalence of autism spectrum disorder—Autism and developmental disability monitoring network, 14 sites, United States, 2002. Surveillance Summary 9/56 (SS01), 12–28.Google Scholar
Chawarska, K, Paul, R, Klin, A, Hannigen, S, Dichtel, LE, Volkmar, F (2007). Parental recognition of developmental problems in toddlers with autism spectrum disorders. Journal of Autism and Developmental Disorders 37, 62–72.CrossRefGoogle ScholarPubMed
De Bruin, EI, Ferdinand, RF, Meester, S, de Nijs, PE, Verheij, F (2007). High rates of psychiatric co-morbidity in PDD-NOS. Journal of Autism and Developmental Disorders 37, 877–886.CrossRefGoogle ScholarPubMed
Duarte, CS, Bordin, IAS, De Oliveira, A, Bird, H (2003). The CBCL and the identification of children with autism and related conditions in Brazil: pilot findings. Journal of Autism and Developmental Disorders 33, 703–707.CrossRefGoogle ScholarPubMed
Filipek, PA, Accardo, PJ, Ashwal, S, Baranek, GT, Cook, EH Jr, Dawson, G, Gordon, B, Gravel, JS, Johnson, CP, Kallen, RJ, Levy, SE, Minshew, NJ, Ozonoff, S, Prizant, BM, Rapin, I, Rogers, SJ, Stone, WL, Teplin, SW, Tuchman, RF, Volkmar, FR (2000). Practice parameter: screening and diagnosis of autism: report of the Quality Standards Subcommittee of the American Academy of Neurology and the Child Neurology Society. Neurology 55, 468–479.CrossRefGoogle Scholar
Frigerio, A, Cozzi, P, Pastore, V, Molteni, M, Borgatti, R, Montirosso, R (2006). La valutazione dei problemi emotivo comportamentali in un campione italiano di bambini in età prescolare attraverso la CBCL. Infanzia e Adolescenza 12, 26–33.Google Scholar
Glascoe, FP, Dworkin, PH (1995). The role of parents in the detection of developmental and behavioral problems. Pediatrics 95, 829–836.CrossRefGoogle ScholarPubMed
Glascoe, FP (1999). The value of parents’ concerns to detect and address developmental and behavioral problems. Journal of Pediatrics and Child Health 35, 1–8.CrossRefGoogle Scholar
Hartley, SL, Sikora, DM, McCoy, R (2008). Prevalence and risk factors of maladaptive behaviour in young children with autistic disorder. Journal of Intellectual Disability Research 52, 819–829.CrossRefGoogle ScholarPubMed
Hartley, SL, Sikora, DM (2009). Sex differences in autism spectrum disorder: an examination of developmental functioning, autistic symptoms, and coexisting behaviour problems in toddlers. Journal of Autism and Developmental Disorders 39, 1715–1722.CrossRefGoogle Scholar
Hollingshead, AB, Redlich, FC (1958). Social Class and Mental Illness. Wiley: New York, NY.CrossRefGoogle Scholar
Krol, NP, De Bruyn, EF, Coolen, JC, van Aarle, EJ (2006). From CBCL to DSM: a comparison of two methods to screen for DSM-IV diagnoses using CBCL data. Journal of Clinical Child and Adolescent Psychology 35, 127–135.CrossRefGoogle ScholarPubMed
Maestro, S, Casella, C, Milone, A, Muratori, F, Palacio-Espasa, F (1999). Study of the onset of autism through home-movies. Psychopatology 32, 292–300.CrossRefGoogle ScholarPubMed
Matson, JL, Fodstad, JC, Mahan, S, Rojahn, J (2010). Cut-offs, norms and patterns of problem behaviours in children with developmental disabilities on the Baby and Infant Screen for Children with autism Traits (BISCUIT-Part 3). Developmental Neurorehabilitation 13, 3–9.CrossRefGoogle ScholarPubMed
Meisels, SJ (1989). Can developmental screening tests identify children who are developmentally at risk? Pediatrics 83, 578–585.CrossRefGoogle ScholarPubMed
Muratori, F, Apicella, F, Muratori, P, Maestro, S (2010). Intersubjective disruptions and caregiver-infant interaction in early autistic disorder. Research in Autism Spectrum Disorders 5, n1, 408–417.CrossRefGoogle Scholar
Ooi, YP, Rescorla, L, Ang, RP, Woo, B, Fung, DSS (2010). Identification of autism spectrum disorders using the child behaviour checklist in Singapore. Journal of Autism and Developmental Disorders. [Epub ahead of print Apr. 20]. DOI 10.1007/s10803-010-1015-xGoogle Scholar
Ozonoff, S, Young, GS, Steinfeld, MB, Hill, MM, Cook, I, Hutman, T, Macari, S, Rogers, SJ, Sigman, M (2009). How early do parent concerns predict later autism diagnosis? Journal of Developmental and Behavioral Pediatrics 30, 367–375.CrossRefGoogle ScholarPubMed
Pandolfi, V, Magyar, CI, Dill, CA (2009). Confirmatory factor analysis of the child behaviour checklist 1.5–5 in a sample of children with autism spectrum disorders. Journal of Autism and Developmental Disorders 39, 986–995.CrossRefGoogle Scholar
Pinto-Martin, JA, Young, LM, Mandell, DS, Poghosyan, L, Giarelli, E, Levy, SE (2008). Screening strategies for autism spectrum disorders in pediatric primary care. Journal of Developmental and Behavioral Pediatrics 29, 345–350.CrossRefGoogle ScholarPubMed
Rescorla, LA (1988). Cluster Analytic Identification of Autistic Preschoolers. Journal of Autism and Developmental Disorders 18, 475–492.CrossRefGoogle ScholarPubMed
Rescorla, LA (2005). Assessment of young children using the Achenbach System of Empirically Based Assessment (ASEBA). Mental Retardation and Developmental Disabilities Research Review 11, 226–237.CrossRefGoogle ScholarPubMed
Ricciardi, A, McAllister, V, Dazzan, P (2008). Is early intervention in psychosis effective? Epidemiologia e Psichiatria Sociale 17, 227–235.CrossRefGoogle ScholarPubMed
Ruggeri, M, Tansella, M (2009). The interaction between genetics and epidemiology: the puzzle and its pieces. Epidemiologia e Psichiatria Sociale 18, 77–80.CrossRefGoogle ScholarPubMed
Rutter, M, Bailey, A, Lord, C (2003). Social Communication Questionnaire. Western Psychological Services: Los Angeles, CA.Google Scholar
Sikora, DM, Hall, TA, Hartley, SL, Gerrard-Morris, AE, Cagle, S (2008). Does parent report of behavior differ across ADOS-G classifications: analysis of scores from the CBCL and GARS. Journal of Autism and Developmental Disorders 38, 440–448.CrossRefGoogle ScholarPubMed
Sinzig, J, Walter, D, Doepfner, M (2009). Attention deficit/hyperactivity disorder in children and adolescent with autism spectrum disorder. Symptom or Syndrome? Journal of Attention Disorders 20, 1–10.Google Scholar
Stewart, ME, Barnard, L, Pearson, J, Hasan, R, O'Brien, G (2006). Presentation of depression in autism and asperger syndrome: a review. Autism 10, 103–116.CrossRefGoogle ScholarPubMed
Sweet, JA, Picket, RM (1982). Evaluation of Diagnostic Systems: methods from Signal Detection Theory. Academic Press: New York.Google Scholar
Tancredi, R, Picchi, L, Floriani, C, Seppia, P, Muratori, F (2002). Behavioral problems in pediatric primary care. Italian Journal of Pediatrics 28, 377–382.Google Scholar
Tosato, S, Lasalvia, A (2009). The contribution of epidemiology to defining the most appropriate approach to genetic research on schizophrenia. Epidemiologia e Psichiatria Sociale 18, 81–90.CrossRefGoogle ScholarPubMed
Vismara, LA, Rogers, SJ (2010). Behavioral treatments in autism spectrum disorder: what do we know? Annual Review of Clinical Psychology 6, 447–468.CrossRefGoogle ScholarPubMed
White, SW, Oswald, D, Ollendick, T, Scahill, L (2009). Anxiety in children and adolescents with autism spectrum disorders. Clinical Psychology Review 29, 216–229.CrossRefGoogle ScholarPubMed
Wiggins, LD, Baio, J, Rice, C (2006). Examination of the time between first evaluation and first autism spectrum diagnosis in a population-based sample. Journal of Developmental and Behavioral Pediatrics 27, 79–87.CrossRefGoogle Scholar
Zero to Three (2005). Diagnostic classification of mental health and developmental disorders of infancy and early childhood, revised (DC:0–3R). Zero to Three Press: Washington, DC.Google Scholar