Literature DB >> 18548343

Genetic and environmental influences on the stability of withdrawn behavior in children: a longitudinal, multi-informant twin study.

Rosa A Hoekstra1, Meike Bartels, James J Hudziak, Toos C E M Van Beijsterveldt, Dorret I Boomsma.   

Abstract

We examined the contribution of genetic and environmental influences on the stability of withdrawn behavior (WB) in childhood using a longitudinal multiple rater twin design. Maternal and paternal ratings on the withdrawn subscale of the Child Behavior Checklist (CBCL) were obtained from 14,889 families when the twins were 3, 7, 10 and 12 years old. A longitudinal psychometric model was fitted to the data and the fit of transmission and common factor models were evaluated for each variance component. WB showed considerable stability throughout childhood, with correlation coefficients ranging from about .30 for the 9-year time interval to .65 for shorter time intervals. Individual differences in WB as observed by the mother and the father were found to be largely influenced by genetic effects at all four time points, in both boys (50-66%) and girls (38-64%). Shared environmental influences explained a small to modest proportion (0-24%) of the variance at all ages and were slightly more pronounced in girls. Non-shared environmental influences were of moderate importance to the variance and slightly increased with age, from 22-28% at age 3 to 35-41% at age 12 years. The stability of WB was largely explained by genetic effects, accounting for 74% of stability in boys and 65% in girls. Shared environmental effects explained 7% (boys) and 17% (girls) of the behavioral stability. Most shared environmental effects were common to both raters, suggesting little influence of rater bias in the assessment of WB. The shared environmental effects common to both raters were best described by a common factor model, indicating that these effects are stable and persistent throughout childhood. Non-shared environmental effects accounted for the remaining covariance over time.

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Year:  2008        PMID: 18548343     DOI: 10.1007/s10519-008-9213-4

Source DB:  PubMed          Journal:  Behav Genet        ISSN: 0001-8244            Impact factor:   2.805


  19 in total

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2.  Candidate gene associations with withdrawn behavior.

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3.  Adolescent self-report of emotional and behavioral problems: interactions of genetic factors with sex and age.

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Journal:  J Can Acad Child Adolesc Psychiatry       Date:  2011-02

4.  Dimensions of Maternal Parenting and Infants' Autonomic Functioning Interactively Predict Early Internalizing Behavior Problems.

Authors:  Nicholas J Wagner; Cathi Propper; Noa Gueron-Sela; W Roger Mills-Koonce
Journal:  J Abnorm Child Psychol       Date:  2016-04

5.  Associations of mother's and father's parenting practices with children's observed social reticence in a competitive situation: a monozygotic twin difference study.

Authors:  Fanny-Alexandra Guimond; Mara Brendgen; Nadine Forget-Dubois; Ginette Dionne; Frank Vitaro; Richard E Tremblay; Michel Boivin
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6.  Child internalizing symptoms: contributions of child temperament, maternal negative affect, and family functioning.

Authors:  Nicole A Crawford; Matthew Schrock; Janet Woodruff-Borden
Journal:  Child Psychiatry Hum Dev       Date:  2011-02

7.  Withdrawn/Depressed Behaviors and Error-Related Brain Activity in Youth With Obsessive-Compulsive Disorder.

Authors:  Gregory L Hanna; Yanni Liu; Yona E Isaacs; Angela M Ayoub; Jose J Torres; Nolan B O'Hara; William J Gehring
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Review 8.  The genetics of anxiety-related negative valence system traits.

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9.  Temperamental Characteristics of Withdrawn Behavior Problems in Children.

Authors:  David H Rubin; Eileen T Crehan; Robert R Althoff; David C Rettew; Erica Krist; Valerie Harder; John T Walkup; James J Hudziak
Journal:  Child Psychiatry Hum Dev       Date:  2017-06

10.  Exploring the association between well-being and psychopathology in adolescents.

Authors:  Meike Bartels; John T Cacioppo; Toos C E M van Beijsterveldt; Dorret I Boomsma
Journal:  Behav Genet       Date:  2013-03-08       Impact factor: 2.805

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