Literature DB >> 10450617

Predicting conduct problems: can high-risk children be identified in kindergarten and grade 1?

K J Bennett1, E L Lipman, S Brown, Y Racine, M H Boyle, D R Offord.   

Abstract

Externalizing behavior symptoms (EBS) in childhood are a strong predictor of future conduct problems. This study evaluated their predictive accuracy using logistic regression and receiver operating characteristic curve techniques. EBS, alone and in combination with other child and familial risk factors, were used to predict conduct problems 30 months later in a nonclinic population of kindergartners and Grade 1 children. The sensitivity (Sn) and positive predictive value (PPV) of EBS alone were below preset criteria of > or = 50% for each (prevalence < or = 15%). Sn and PPV increased when other child and familial factors were combined with symptoms but did not exceed the preset criteria. From a developmental perspective, substantial stability of EBS exists over time. However, from the perspective of prevention science, significant levels of misclassification will occur when EBS are used to designate high-risk status under the low-prevalence conditions of normal populations.

Entities:  

Mesh:

Year:  1999        PMID: 10450617     DOI: 10.1037//0022-006x.67.4.470

Source DB:  PubMed          Journal:  J Consult Clin Psychol        ISSN: 0022-006X


  15 in total

1.  How Early Is Too Early? Identification of Elevated, Persistent Problem Behavior in Childhood.

Authors:  Megan Bears Augustyn; Thomas Loughran; Pilar Larroulet Philippi; Terence P Thornberry; Kimberly L Henry
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2.  Effectiveness of early screening for externalizing problems: issues of screening accuracy and utility.

Authors:  Laura G Hill; John D Coie; John E Lochman; Mark T Greenberg
Journal:  J Consult Clin Psychol       Date:  2004-10

Review 3.  Estimating the prevalence of early childhood serious emotional/behavioral disorders: challenges and recommendations.

Authors:  Cheryl Boydell Brauner; Cheryll Bowers Stephens
Journal:  Public Health Rep       Date:  2006 May-Jun       Impact factor: 2.792

4.  Developmental epidemiological courses leading to antisocial personality disorder and violent and criminal behavior: effects by young adulthood of a universal preventive intervention in first- and second-grade classrooms.

Authors:  Hanno Petras; Sheppard G Kellam; C Hendricks Brown; Bengt O Muthén; Nicholas S Ialongo; Jeanne M Poduska
Journal:  Drug Alcohol Depend       Date:  2008-02-19       Impact factor: 4.492

5.  DEVELOPMENT OF DISRUPTIVE BEHAVIORS IN YOUNG CHILDREN: A PROSPECTIVE POPULATION-BASED COHORT STUDY.

Authors:  Raymond H Baillargeon; Alexandre Morisset; Kate Keenan; Claude L Normand; Jean R Séguin; Christa Japel; Guanqiong Cao
Journal:  Infant Ment Health J       Date:  2012-11-01

6.  Parent and teacher identification of children at risk of developing internalizing or externalizing mental health problems: a comparison of screening methods.

Authors:  Sarah B Dwyer; Jan M Nicholson; Diana Battistutta
Journal:  Prev Sci       Date:  2006-12

7.  Using Early Childhood Behavior Problems to Predict Adult Convictions.

Authors:  Francesca Kassing; Jennifer Godwin; John E Lochman; John D Coie
Journal:  J Abnorm Child Psychol       Date:  2019-05

8.  Predicting growth curves of early childhood externalizing problems: differential susceptibility of children with difficult temperament.

Authors:  Judi Mesman; Reinoud Stoel; Marian J Bakermans-Kranenburg; Marinus H van IJzendoorn; Femmie Juffer; Hans M Koot; Lenneke R A Alink
Journal:  J Abnorm Child Psychol       Date:  2009-07

9.  Identifying at-risk children at school entry: the usefulness of multibehavioral problem profiles.

Authors:  Kelly S Flanagan; Karen L Bierman; Chi-Ming Kam
Journal:  J Clin Child Adolesc Psychol       Date:  2003-09

Review 10.  Research Review: 'Ain't misbehavin': Towards a developmentally-specified nosology for preschool disruptive behavior.

Authors:  Lauren S Wakschlag; Patrick H Tolan; Bennett L Leventhal
Journal:  J Child Psychol Psychiatry       Date:  2009-10-28       Impact factor: 8.982

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