Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2007 Aug;64(8):958-65.
doi: 10.1001/archpsyc.64.8.958.

Creating a social world: a developmental twin study of peer-group deviance

Affiliations

Creating a social world: a developmental twin study of peer-group deviance

Kenneth S Kendler et al. Arch Gen Psychiatry. 2007 Aug.

Abstract

Context: Peer-group deviance is strongly associated with externalizing behaviors. We have limited knowledge of the sources of individual differences in peer-group deviance.

Objective: To clarify genetic and environmental contributions to peer-group deviance in twins from midchildhood through early adulthood.

Design: Retrospective assessments using a life-history calendar. Analysis by biometric growth curves.

Setting: General community.

Participants: Members of male-male pairs from the population-based Virginia Twin Registry personally interviewed in 1998-2004 (n = 1802).

Main outcome measure: Self-reported peer-group deviance at ages 8 to 11, 12 to 14, 15 to 17, 18 to 21, and 22 to 25 years.

Results: Mean and variance of peer-group deviance increased substantially with age. Genetic effects on peer-group deviance showed a strong and steady increase over time. Family environment generally declined in importance over time. Individual-specific environmental influences on peer-group deviance levels were stable in the first 3 age periods and then increased as most twins left home. When standardized, the heritability of peer-group deviance is approximately 30% at ages 8 to 11 years and rises to approximately 50% across the last 3 time periods. Both genes and shared environment contributed to individual differences in the developmental trajectory of peer-group deviance. However, while the correlation between childhood peer-group deviance levels and the subsequent slope of peer-group deviance over time resulting from genetic factors was positive, the same relationship resulting from shared environmental factors was negative.

Conclusions: As male twins mature and create their own social worlds, genetic factors play an increasingly important role in their choice of peers, while shared environment becomes less influential. The individual-specific environment increases in importance when individuals leave home. Individuals who have deviant peers in childhood, as a result of genetic vs shared environmental influences, have distinct developmental trajectories. Understanding the risk factors for peer-group deviance will help clarify the etiology of a range of externalizing psychopathology.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Unstandardized additive genetic (A), shared or common environmental (C), and individual-specific environmental (E) variance for peer-group deviance across 5 time periods estimated from our best-fit growth curve model.
Figure 2
Figure 2
Standardized additive genetic (A), shared or common environmental (C), and individual-specific environmental (E) variance for peer-group deviance across 5 time periods estimated from our best-fit growth curve model. The standardized additive genetic effects equal the heritability.
Figure 3
Figure 3
Parameter estimates from the biometrical latent growth curve analysis were used to construct expected growth curve patterns for hypothetical individuals with different underlying liabilities with respect to genetic (A), shared or common environmental (C), and individual-specific environmental (E) variance for peer-group deviance. The mean curve was constructed by setting the deviation for each of these latent constructs at 0, while the upper and lower curves, respectively, were constructed by setting the deviations for A, C, and E at 1.96 or −1.96 while holding the others at 0, thus providing 97.5% and 2.5% percentiles for expected variation due to each of these sources of variance.

References

    1. Harris JR. The Nurture Assumption: Why Children Turn Out the Way They Do. New York, NY: Touchstone/Simon & Schuster; 2002.
    1. Allen M, Donohue WA, Griffin A, Ryan D, Turner MM. Comparing the influence of parents and peers on the choice to use drugs. Crim Justice Behav. 2003;30(2):163–186.
    1. Petraitis J, Flay BR, Miller TQ, Torpy EJ, Greiner B. Illicit substance use among adolescents. Subst Use Misuse. 1998;33(13):2561–2604. - PubMed
    1. Hawkins JD, Herrenkohl T, Farrington DP, Brewer D, Catalano RF, Harachi TW. A review of predictors of youth violence. In: Loeber R, Farrington DP, editors. Serious and Violent Juvenile Offenders: Risk Factors and Successful Interventions. London, England: Sage Publications Inc; 1998. pp. 106–146.
    1. Patterson GR, DeBaryshe BD, Ramsey E. A developmental perspective on antisocial behavior. Am Psychol. 1989;44(2):329–335. - PubMed

Publication types

MeSH terms