Literature DB >> 16239161

Prevalence and genetic architecture of Child Behavior Checklist-juvenile bipolar disorder.

James J Hudziak1, Robert R Althoff, Eske M Derks, Stephen V Faraone, Dorret I Boomsma.   

Abstract

BACKGROUND: No consensus has been reached yet on how best to characterize children with juvenile bipolar disorder (JBD). Several groups have shown that children on the attention problems (AP), aggressive behavior (AGG), and anxious-depressed (AD) syndromes of the Child Behavior Checklist (CBCL) are likely to meet criteria for DSM-JBD. We aimed to use a large population-based twin sample to evaluate the prevalence and genetic architecture of the CBCL-JBD (deviant on AP, AGG, and AD) phenotype and compare these data to children who are deviant on just the CBCL-AP syndrome.
METHODS: Structural equation modeling (SEM) was applied to CBCL data from 5418, 3562, and 1971 Dutch twin pairs at ages 7, 10, and 12 years.
RESULTS: The CBCL-JBD phenotype occurs in approximately 1% of children at each age. Among the children who meet criteria for the CBCL-AP phenotype ( approximately 5%), between 13 and 20% also meet criteria for CBCL-JBD. The best SEM for CBCL-JBD includes additive genetic, shared and unique environmental factors. The best SEM for CBCL-AP includes dominant and additive genetic and unique environmental factors.
CONCLUSIONS: These data suggest that CBCL-JBD is common, and even more common among children who have severe attention problems. CBCL-JBD shows familial aggregation due to both genetic and shared environmental factors.

Entities:  

Mesh:

Year:  2005        PMID: 16239161     DOI: 10.1016/j.biopsych.2005.03.024

Source DB:  PubMed          Journal:  Biol Psychiatry        ISSN: 0006-3223            Impact factor:   13.382


  45 in total

1.  Genetic and environmental influences upon the CBCL/6-18 DSM-oriented scales: similarities and differences across three different computational approaches and two age ranges.

Authors:  Chiara A M Spatola; Richard Rende; Marco Battaglia
Journal:  Eur Child Adolesc Psychiatry       Date:  2010-03-25       Impact factor: 4.785

2.  Temperamental profiles of dysregulated children.

Authors:  Robert R Althoff; Lynsay A Ayer; Eileen T Crehan; David C Rettew; Julie R Baer; James J Hudziak
Journal:  Child Psychiatry Hum Dev       Date:  2012-08

3.  Adult outcomes of childhood dysregulation: a 14-year follow-up study.

Authors:  Robert R Althoff; Frank C Verhulst; David C Rettew; James J Hudziak; Jan van der Ende
Journal:  J Am Acad Child Adolesc Psychiatry       Date:  2010-11       Impact factor: 8.829

4.  Dysregulation in Youth with Anxiety Disorders: Relationship to Acute and 7- to 19- Year Follow-Up Outcomes of Cognitive-Behavioral Therapy.

Authors:  Nicole E Caporino; Joanna Herres; Philip C Kendall; Courtney Benjamin Wolk
Journal:  Child Psychiatry Hum Dev       Date:  2016-08

5.  The child behavior checklist dysregulation profile predicts adolescent DSM-5 pathological personality traits 4 years later.

Authors:  Elien De Caluwé; Mieke Decuyper; Barbara De Clercq
Journal:  Eur Child Adolesc Psychiatry       Date:  2013-02-05       Impact factor: 4.785

6.  The Child Behavior Checklist (CBCL) and the CBCL-bipolar phenotype are not useful in diagnosing pediatric bipolar disorder.

Authors:  Rasim Somer Diler; Boris Birmaher; David Axelson; Ben Goldstein; MaryKay Gill; Michael Strober; David J Kolko; Tina R Goldstein; Jeffrey Hunt; Mei Yang; Neal D Ryan; Satish Iyengar; Ronald E Dahl; Lorah D Dorn; Martin B Keller
Journal:  J Child Adolesc Psychopharmacol       Date:  2009-02       Impact factor: 2.576

7.  CBCL-pediatric bipolar disorder phenotype: severe ADHD or bipolar disorder?

Authors:  M Holtmann; K Goth; L Wöckel; F Poustka; S Bölte
Journal:  J Neural Transm (Vienna)       Date:  2007-11-12       Impact factor: 3.575

8.  Empirically derived patterns of psychiatric symptoms in youth: A latent profile analysis.

Authors:  Katharina Kircanski; Susan Zhang; Argyris Stringaris; Jillian Lee Wiggins; Kenneth E Towbin; Daniel S Pine; Ellen Leibenluft; Melissa A Brotman
Journal:  J Affect Disord       Date:  2016-09-21       Impact factor: 4.839

9.  Early-onset depressive disorders predict the use of addictive substances in adolescence: a prospective study of adolescent Finnish twins.

Authors:  Elina Sihvola; Richard J Rose; Danielle M Dick; Lea Pulkkinen; Mauri Marttunen; Jaakko Kaprio
Journal:  Addiction       Date:  2008-10-08       Impact factor: 6.526

10.  Nonverbal intelligence in young children with dysregulation: the Generation R Study.

Authors:  Maartje Basten; Jan van der Ende; Henning Tiemeier; Robert R Althoff; Jolien Rijlaarsdam; Vincent W V Jaddoe; Albert Hofman; James J Hudziak; Frank C Verhulst; Tonya White
Journal:  Eur Child Adolesc Psychiatry       Date:  2014-05-07       Impact factor: 4.785

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