ARTICLES
Genetic and Environmental Contributions to Stability and Change in Children's Internalizing and Externalizing Problems

https://doi.org/10.1097/00004583-200310000-00012Get rights and content

Objective

To estimate genetic, shared environmental, and nonshared environmental contributions to stability and change in internalizing and externalizing problems.

Method

Maternal Child Behavior Checklist ratings were obtained for 3,873 twin pairs at age 3 and 1,924 twin pairs at age 7. For 1,575 twin pairs, ratings were available at both ages.

Results

For Internalizing/Externalizing ratings, genetic, shared, and nonshared environmental factors explained about 59/51%, 10/30%, and 31/19% of the variance at age 3, and 40/52%, 31/32%, and 29/16% of the variance at age 7. The phenotypic correlation of r = 0.38/0.54 between problems assessed at 3 and 7 years of age was explained for 66/55% by genetic factors, for 23/37% by shared environmental factors, and for 11/8% by nonshared environmental factors. The genetic, shared environmental, and nonshared environmental correlations between ages 3 and 7 were 0.51/0.57, 0.47/0.66, and 0.13/0.24, respectively.

Conclusions

Genetic and shared environmental factors were most important for the stability of Internalizing and Externalizing Problems between ages 3 and 7. Nonshared environmental factors were mainly age-specific. For Internalizing Problems, shared environment may become more important from early to middle childhood.

Section snippets

Sample

All participants were members of the Netherlands Twin Registry (Boomsma et al., 1992). The accuracy of zygosity determination by questionnaire items is described by Rietveld et al. (2000). A detailed description of sample collection, zygosity determination, means, and standard deviations of CBCL scales for age 3 can be found in Van der Valk et al., 1998b, Van der Valk et al., 2001, and for age 7 in van der Valk et al. (2003). The total sample consisted of 3,873 twin pairs at age 3 and 1,924

RESULTS

Table 1 shows the within-person correlations, the twin correlations, and the twin cross-correlations between ages 3 and 7 for boys and girls. We will first discuss the results that apply to the persistency of problem behaviors over time. The within-person correlations between ages 3 and 7 (stability coefficients) were on average lower for Internalizing Problems (boys, r = 0.35; girls, r = 0.41) than for Externalizing Problems (boys, r = 0.55; girls, r = 0.53). The twin cross-correlation between

DISCUSSION

Maternal ratings of behavior problems in a large sample of 3- and 7-year old twins were used to estimate genetic and environmental contributions to stability and change. Genetic factors accounted for 66% of the phenotypic stability (r = 0.38) of Internalizing Problems and for 55% of the phenotypic stability (r = 0.54) of Externalizing Problems. Thus genes were most important for continuity in problem behaviors. Shared environmental influences accounted for 23% and 37% of the phenotypic

REFERENCES (41)

  • SB Campbell

    Behavior problems in preschool children: a review of recent research

    J Child Psychol Psychiatry

    (1995)
  • A Caspi et al.

    Behavioral observations at age 3 years predict adult psychiatric disorders: longitudinal evidence form a birth cohort

    Arch Gen Psychiatry

    (1996)
  • A De Groot et al.

    Cross-cultural generalizability of the Child Behavior Checklist cross-informant syndromes

    Psychol Assess

    (1994)
  • LJ Eaves et al.

    Analyzing twin resemblance in multisymptom data: genetic application of a latent class model for symptoms of conduct disorder in juvenile boys

    Behav Genet

    (1993)
  • C Edelbrock et al.

    Convergence between statistically derived behavior problem syndromes and child psychiatric diagnoses

    J Abnorm Child Psychol

    (1988)
  • JR Harris

    Where is the child's environment? A group socialization theory of development

    Psychol Rev

    (1995)
  • CA Hartman et al.

    Syndrome dimensions of the Child Behavior Checklist: a critical empirical evaluation

    J Child Psychol Psychiatry

    (1999)
  • MC Kasius et al.

    Associations between different diagnostic approaches for child and adolescent psychopathology

    J Child Psychol Psychiatry

    (1997)
  • HM Koot

    Longitudinal studies of general population and community samples

  • HM Koot et al.

    Behavioural and emotional problems in young pre-schoolers: cross-cultural testing of the validity of the Child Behavior Checklist 2/3

    J Abnorm Child Psychol

    (1997)
  • Cited by (61)

    • Polygenic risk for neuroticism is associated with externalizing symptoms in 2-year-old boys

      2023, Progress in Neuro-Psychopharmacology and Biological Psychiatry
    • An overview of developmental behavioral genetics

      2020, Developmental Human Behavioral Epigenetics: Principles, Methods, Evidence, and Future Directions
    • Postnatal depressive symptoms and child psychological development at 10 years: A prospective study of longitudinal data from the South African Birth to Twenty cohort

      2014, The Lancet Psychiatry
      Citation Excerpt :

      Second, shared genetic factors possibly underlie both maternal depression and the behavioural and emotional difficulties we noted in children. However, although the existence of genetic components contributing to these outcomes is not in doubt, study findings indicate that environmental effects are more important at this point in the life course.28 Third, both maternal depression and adverse child outcome are much more typical in situations of adversity.

    • Co-occurrence of antisocial behavior and substance use: Testing for sex differences in the impact of older male friends, low parental knowledge and friends' delinquency

      2014, Journal of Adolescence
      Citation Excerpt :

      Likewise, Vollebergh et al. (2001) reported substantial 1-year stability (i.e., a coefficient of .96) for an externalizing factor consisting of alcohol and drug dependence, in men and women between the ages of 18 and 24. Developmental studies, in addition to examining the temporal stability of an externalizing factor (e.g. Haberstick, Schmitz, Young, & Hewitt, 2005; van der Valk, van den Oord, Verhulst, & Boomsma, 2003), have assessed reciprocal influences between ASB and SU. Evidence suggests that early initiation of alcohol and/or drug use is predictive not only of further SU in adulthood (Odgers et al., 2008), but also ASB (Huizinga, Loeber, & Thornberry, 1995).

    • Genetic and environmental influences on the co-occurrence of early academic achievement and externalizing behavior

      2014, Journal of Criminal Justice
      Citation Excerpt :

      Other studies have, however, examined externalizing behaviors over time, demonstrating that the stability in externalizing behaviors can also be partially explained by genetics factors. For instance, a study by van der Valk, van den Oord, Verhulst & Boomsma (2003b) revealed that the stability in externalizing behaviors in a sample of youth from the ages of 3 to 7 was primarily due to genetic factors (55%). This finding has been replicated using samples of twins from ages 3 to 12 (Bartels et al., 2004), from ages 7 to 12 (Haberstick, Schmitz, Young, & Hewitt, 2005), and from ages 10-15 to 13-18 (van der Valk, Verhulst, Neale, & Boomsma, 1998).

    • Aggression and rule-breaking: Heritability and stability of antisocial behavior problems in childhood and adolescence

      2013, Journal of Criminal Justice
      Citation Excerpt :

      In general, there have been more longitudinal examinations of aggression or widely-defined antisocial behavior than of rule-breaking on its own. In young childhood, over the ages of 3–7 years, genetics and shared home environment were found to contribute to stability in overall antisocial behavior (Van der Valk, et al. 2003). Stability in maternal ratings of aggression across the age span of 3–12 years was 65% accounted for by genetic factors and 25% by shared environmental factors.

    View all citing articles on Scopus

    This work was supported by a grant from the Sophia Foundation for Medical Research.

    View full text