Literature DB >> 23138539

The ability of CBCL DSM-oriented scales to predict DSM-IV diagnoses in a referred sample of children and adolescents.

Monica Bellina1, Paolo Brambilla, Marco Garzitto, Gioia A L Negri, Massimo Molteni, Maria Nobile.   

Abstract

The majority of studies examining associations between clinical-diagnostic and empirical-quantitative approaches have concentrated only on the target diagnosis without taking into account any possible co-variation of psychopathological traits, which is intrinsic to child psychopathology. The ability of child behaviour checklist (CBCL) DSM-oriented scales (DOSs) to predict target and other DSM diagnoses, taking into consideration the covariation of psychopathological traits, was analysed by logistic regression analysis. Corresponding odds ratio (OR) was used as indicator of the strength of the relationship between the clinical score in DOSs and the presence of DSM-IV diagnoses. Logistic regression allowed us to consider multiple scales simultaneously, thus addressing the problem of co-occurrence of psychopathological traits, and to include gender and age as covariates. The sample consisted of 360 children and adolescents aged 6-16 years, consecutively referred for behavioural and emotional problems. As a whole, the CBCL DOSs seem to be more specific but with a weaker association with DSM-IV diagnoses than syndrome scales, and with some distinctive features: clinical scores in the anxiety DOS suggest a diagnosis of both anxiety and mood disorder; clinical scores in the somatic problems DOS are very strong and specific predictors for diagnosis of separation anxiety disorder; clinical scores in the oppositional defiant problems DOS are not only predictors of the oppositional defiant disorder but are also strong predictors of generalized anxiety disorder; clinical scores in the conduct problems DOS are a specific and strong predictor for oppositional defiant disorder. Results confirm the clinical usefulness of CBCL and suggest using both syndrome and DOS scales for a complete and accurate assessment of children and adolescents.

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Year:  2012        PMID: 23138539     DOI: 10.1007/s00787-012-0343-0

Source DB:  PubMed          Journal:  Eur Child Adolesc Psychiatry        ISSN: 1018-8827            Impact factor:   4.785


  33 in total

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Journal:  J Am Acad Child Adolesc Psychiatry       Date:  2001-08       Impact factor: 8.829

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Authors:  Robert F Ferdinand
Journal:  J Anxiety Disord       Date:  2007-02-03

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Journal:  Psychol Med       Date:  1997-03       Impact factor: 7.723

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Authors:  Robert F Ferdinand
Journal:  Depress Anxiety       Date:  2007       Impact factor: 6.505

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Journal:  JAMA       Date:  2004-06-02       Impact factor: 56.272

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10.  Comorbidity of conduct disorder symptoms and internalising problems in children: investigating a community and a clinical sample.

Authors:  Georg G Polier; Timo D Vloet; Beate Herpertz-Dahlmann; Kristin R Laurens; Sheilagh Hodgins
Journal:  Eur Child Adolesc Psychiatry       Date:  2011-11-18       Impact factor: 4.785

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  13 in total

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Authors:  Michel G Nivard; Suzanne H Gage; Jouke J Hottenga; Catharina E M van Beijsterveldt; Abdel Abdellaoui; Meike Bartels; Bart M L Baselmans; Lannie Ligthart; Beate St Pourcain; Dorret I Boomsma; Marcus R Munafò; Christel M Middeldorp
Journal:  Schizophr Bull       Date:  2017-10-21       Impact factor: 9.306

2.  Psychosocial effects in parents and children 12 years after newborn genetic screening for type 1 diabetes.

Authors:  Nicola J Kerruish; Dione M Healey; Andrew R Gray
Journal:  Eur J Hum Genet       Date:  2017-01-25       Impact factor: 4.246

3.  The discriminative capacity of CBCL/1½-5-DSM5 scales to identify disruptive and internalizing disorders in preschool children.

Authors:  Nuria de la Osa; Roser Granero; Esther Trepat; Josep Maria Domenech; Lourdes Ezpeleta
Journal:  Eur Child Adolesc Psychiatry       Date:  2015-02-26       Impact factor: 4.785

4.  Parents of children with psychopathology: psychiatric problems and the association with their child's problems.

Authors:  Christel M Middeldorp; Laura W Wesseldijk; James J Hudziak; Frank C Verhulst; Ramon J L Lindauer; Gwen C Dieleman
Journal:  Eur Child Adolesc Psychiatry       Date:  2016-01-13       Impact factor: 4.785

5.  Socioeconomic Disadvantage Moderates the Association between Peripheral Biomarkers and Childhood Psychopathology.

Authors:  Rodrigo B Mansur; Graccielle R Cunha; Elson Asevedo; André Zugman; Maiara Zeni-Graiff; Adiel C Rios; Sumit Sethi; Pawan K Maurya; Mateus L Levandowski; Ary Gadelha; Pedro M Pan; Laura Stertz; Síntia I Belangero; Márcia Kauer-Sant' Anna; Antônio L Teixeira; Jair J Mari; Luis A Rohde; Euripedes C Miguel; Roger S McIntyre; Rodrigo Grassi-Oliveira; Rodrigo A Bressan; Elisa Brietzke
Journal:  PLoS One       Date:  2016-08-04       Impact factor: 3.240

6.  Latent classes of emotional and behavioural problems in epidemiological and referred samples and their relations to DSM-IV diagnoses.

Authors:  Valentina Bianchi; Paolo Brambilla; Marco Garzitto; Paola Colombo; Livia Fornasari; Monica Bellina; Carolina Bonivento; Alessandra Tesei; Sara Piccin; Stefania Conte; Giampaolo Perna; Alessandra Frigerio; Isabella Castiglioni; Franco Fabbro; Massimo Molteni; Maria Nobile
Journal:  Eur Child Adolesc Psychiatry       Date:  2016-11-14       Impact factor: 4.785

7.  School-age outcomes of infants at risk for autism spectrum disorder.

Authors:  Meghan Miller; Ana-Maria Iosif; Gregory S Young; Monique Hill; Elise Phelps Hanzel; Ted Hutman; Scott Johnson; Sally Ozonoff
Journal:  Autism Res       Date:  2015-10-09       Impact factor: 5.216

8.  Psychometric Properties of a Semistructured Interview to Assess Limited Prosocial Emotions.

Authors:  Toni M Walker; Paul J Frick; Tatiana M Matlasz; Emily L Robertson; Amy J Mikolajewski; Colter Mitchell; Nestor Lopez-Duran; Christopher Monk; Luke W Hyde
Journal:  Assessment       Date:  2020-08-10

9.  Diagnostic efficiency and validity of the DSM-oriented Child Behavior Checklist and Youth Self-Report scales in a clinical sample of Swedish youth.

Authors:  Gudmundur Skarphedinsson; Håkan Jarbin; Markus Andersson; Tord Ivarsson
Journal:  PLoS One       Date:  2021-07-22       Impact factor: 3.240

10.  A powerful phenotype for gene-finding studies derived from trajectory analyses of symptoms of anxiety and depression between age seven and 18.

Authors:  Gitta H Lubke; Patrick J Miller; Brad Verhulst; Meike Bartels; Toos van Beijsterveldt; Gonneke Willemsen; Dorret I Boomsma; Christel M Middeldorp
Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2015-09-03       Impact factor: 3.568

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