Oxytocin Receptor Gene Variant Interacts with Intervention Delivery Format in Predicting Intervention Outcomes for Youth with Conduct Problems
- 332 Downloads
Coping Power is an evidence-based preventive intervention program for youth with aggressive behavior problems that has traditionally been delivered in small group formats. Because of concerns about iatrogenic effects secondary to aggregation of high risk youth, the current study examined whether genetic risk may moderate intervention outcome when youth were randomly assigned to group versus individual formats of an intervention. The oxytocin receptor gene (OXTR) has been associated with social behavior and may influence susceptibility to social reinforcement in general and deviant peer influence in particular. One variant of OXTR (rs2268493) was examined in 197 fourth-grade African-American children (64% male) who were randomly assigned to Group Coping Power or Individual Coping Power (Lochman et al. 2015). Longitudinal assessments of teacher- and parent-reported behavior were collected through a 1-year follow-up. Growth curve analyses revealed a genotype by delivery format interaction. Youth with the A/A genotype demonstrated reductions in externalizing problems over the course of the intervention regardless of intervention format. In contrast, carriers of the G allele receiving the group-based intervention showed little improvement during the intervention and a worsening of symptoms during the follow-up year, while those receiving the individual format demonstrated reductions in externalizing problems. Given the associations between this OXTR variant and social bonding, carriers of the G allele may be more sensitive to social rewards from deviant peers in the group setting. This study suggests that genetic factors may be useful in predicting which type of intervention will be most effective for a particular individual.
KeywordsAggression Conduct problems Oxytocin receptor gene Preventive intervention Deviant peer
Compliance with Ethical Standards
Research in this paper has been supported by grants from the National Institute of Drug Abuse (R01 DA023156) and the National Institute of Child Health and Human Development (R01 HD079273).
Conflict of Interest
None of the authors except for John Lochman has a conflict of interest. John Lochman is co-developer of the Coping Power program and receives royalties for the implementation guide published by Oxford University Press.
All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards.
Informed consent was obtained from all individual participants included in the study.
- Albert, D., Belsky, D. W., Crowley, D. M., Latendresse, S. J., Aliev, F., Riley, B., et al. (2015). Can genetics predict response to complex behavioral interventions? Evidence from a genetic analysis of the fast track randomized control trial. Journal of Policy Analysis and Management, 34,497–518.CrossRefPubMedPubMedCentralGoogle Scholar
- Bakermans-Kranenburg, M. J., Van, I. M. H., Pijlman, F. T., Mesman, J., & Juffer, F. (2008). Experimental evidence for differential susceptibility: Dopamine D4 receptor polymorphism (DRD4 VNTR) moderates intervention effects on toddlers’ externalizing behavior in a randomized controlled trial. Developmental Psychology, 44,293–300.CrossRefPubMedGoogle Scholar
- Bradshaw, C. P., O’Brennan, L. M., & McNeely, C. (2008). Core competencies and the prevention of school failure and early school leaving. In G. Guerra & C. P. Bradshaw (Eds.), Core competencies to promote positive youth development and prevent adolescent risk behavior: New directions for child and adolescent development (Vol. 122, pp. 1–17).Google Scholar
- Brody, G. H., Beach, S. R., Philibert, R. A., Chen, Y. F., & Murry, V. M. (2009). Prevention effects moderate the association of 5-HTTLPR and youth risk behavior initiation: Gene × environment hypotheses tested via a randomized prevention design. Child Development, 80, 645–661.CrossRefPubMedGoogle Scholar
- Brody, G. H., Chen, Y. F., Beach, S. R., Kogan, S. M., Yu, T., Diclemente, R. J., et al. (2014). Differential sensitivity to prevention programming: A dopaminergic polymorphism-enhanced prevention effect on protective parenting and adolescent substance use. Health Psychology, 33,182–191.CrossRefPubMedGoogle Scholar
- Campbell, D. B., Datta, D., Jones, S. T., Batey Lee, E., Sutcliffe, J. S., Hammock, E. A., & Levitt, P. (2011). Association of oxytocin receptor (OXTR) gene variants with multiple phenotype domains of autism spectrum disorder. Journal of Neurodevelopmental Disorders, 3,101–112.CrossRefPubMedPubMedCentralGoogle Scholar
- Dodge, K. A., Dishion, T. J., & Landsford, J. E. (2006). Deviant peer influences in programs for youth: Problems and solutions. New York: Guilford Press.Google Scholar
- Lochman, J. E., Baden, R. E., Boxmeyer, C. L., Powell, N. P., Qu, L., Salekin, K. L., & Windle, M. (2014). Does a booster intervention augment the preventive effects of an abbreviated version of the Coping Power program for aggressive children? Journal of Abnormal Child Psychology, 42,367–381.CrossRefPubMedPubMedCentralGoogle Scholar
- Lochman, J. E., Dishion, T. J., Powell, N. P., Boxmeyer, C. L., Qu, L., & Sallee, M. (2015). Evidence-based preventive intervention for preadolescent aggressive children: One-year outcomes following randomization to group versus individual delivery. Journal of Consulting and Clinical Psychology, 83,728–735.CrossRefPubMedPubMedCentralGoogle Scholar
- Raudenbush, S. W., & Bryk, A. S. (2002). Hierarchical linear models: Applications and data analysis methods (2nd ed.). Newbury Park, CA: Sage.Google Scholar
- Reynolds, C. R., & Kamphaus, R. W. (1992). Behavior assessment system for children (BASC). Circle Pines, MN: American Guidance Service.Google Scholar