Hostname: page-component-76fb5796d-2lccl Total loading time: 0 Render date: 2024-04-27T00:30:04.038Z Has data issue: false hasContentIssue false

Genotype–environment correlation by intervention effects underlying middle childhood peer rejection and associations with adolescent marijuana use

Published online by Cambridge University Press:  22 December 2020

Kit K. Elam*
Affiliation:
Department of Applied Health Science, Indiana University, Bloomington, IN, USA
Sierra Clifford
Affiliation:
Department of Psychology, Arizona State University, Tempe, Arizona, USA
Ariana Ruof
Affiliation:
T. Denny Sanford School of Social and Family Dynamics, Arizona State University, Tempe, Arizona, USA
Daniel S. Shaw
Affiliation:
Department of Psychology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
Melvin N. Wilson
Affiliation:
Department of Psychology, University of Virginia, Charlottesville, Virginia, USA
Kathryn Lemery-Chalfant
Affiliation:
Department of Psychology, Arizona State University, Tempe, Arizona, USA
*
Author for Correspondence: Kit K. Elam, Department of Applied Health Science, Indiana University, 1025 E. 7th St., Suite 116, Bloomington, IN47405, E-mail: kitelam@iu.edu.

Abstract

Aggressive behavior in middle childhood can contribute to peer rejection, subsequently increasing risk for substance use in adolescence. However, the quality of peer relationships a child experiences can be associated with his or her genetic predisposition, a genotype–environment correlation (rGE). In addition, recent evidence indicates that psychosocial preventive interventions can buffer genetic predispositions for negative behavior. The current study examined associations between polygenic risk for aggression, aggressive behavior, and peer rejection from 8.5 to 10.5 years, and the subsequent influence of peer rejection on marijuana use in adolescence (n = 515; 256 control, 259 intervention). Associations were examined separately in control and intervention groups for children of families who participated in a randomized controlled trial of the family-based preventive intervention, the Family Check-Up . Using time-varying effect modeling (TVEM), polygenic risk for aggression was associated with peer rejection from approximately age 8.50 to 9.50 in the control group but no associations were present in the intervention group. Subsequent analyses showed peer rejection mediated the association between polygenic risk for aggression and adolescent marijuana use in the control group. The role of rGEs in middle childhood peer processes and implications for preventive intervention programs for adolescent substance use are discussed.

Type
Regular Article
Copyright
© The Author(s), 2020. Published by Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Achenbach, T. M., & Rescorla, L. A. (2001). Manual for the Achenbach system of empirically based assessment school-age forms profiles. Burlington, VT: Aseba.Google Scholar
Ball, H. A., Arseneault, L., Taylor, A., Maughan, B., Caspi, A., & Moffitt, T. E. (2008). Genetic and environmental influences on victims, bullies and bully-victims in childhood. Journal of Child Psychology and Psychiatry, 49, 104112. doi:10.1111/j.1469-7610.2007.01821.xCrossRefGoogle ScholarPubMed
Beaver, K. M., Wright, J. P., & DeLisi, M. (2008). Delinquent peer group formation: Evidence of a gene X environment correlation. The Journal of Genetic Psychology, 169, 227244.10.3200/GNTP.169.3.227-244CrossRefGoogle ScholarPubMed
Boivin, M., Brendgen, M., Vitaro, F., Dionne, G., Girard, A., Pérusse, D., & Tremblay, R. E. (2013a). Strong genetic contribution to peer relationship difficulties at school entry: Findings from a longitudinal twin study. Child Development, 84, 10981114. doi:10.1111/cdev.12019CrossRefGoogle Scholar
Boivin, M., Brendgen, M., Vitaro, F., ForGEt-Dubois, N., Feng, B., Tremblay, R. E., & Dionne, G. (2013b). Evidence of gene–environment correlation for peer difficulties: Disruptive behaviors predict early peer relation difficulties in school through genetic effects. Development and Psychopathology, 25, 7992. doi:10.1017/S0954579412000910CrossRefGoogle Scholar
Boivin, M, Petitclerc, A, Feng, B, & Barker, ED. (2010). The developmental trajectories of peer victimization in middle to late childhood and the changing nature of their behavioral correlates. Merrill-Palmer Quarterly, 56, 231260.CrossRefGoogle Scholar
Brendgen, M. (2012). Genetics and peer relations: A review. Journal of Research on Adolescence, 22, 419437.CrossRefGoogle Scholar
Brendgen, M., & Boivin, M. (2015). Gene–environment transactions in childhood and adolescence: Problematic peer relationships. In B.N, Horwitz, & J.M, Neiderhiser (Eds.), Advances in behavior genetics. Gene-environment interplay in interpersonal relationships across the lifespan (pp. 97129). New York, NY: Springer.Google Scholar
Brendgen, M., Boivin, M., Dionne, G., Barker, E. D., Vitaro, F., Girard, A., … Pérusse, D. (2011). Gene–environment processes linking aggression, peer victimization, and the teacher–child relationship. Child Development, 82, 20212036. doi:10.1111/j.1467-8624.2011.01644.xCrossRefGoogle ScholarPubMed
Brendgen, M, Girard, A, Vitaro, F, Dionne, G, & Boivin, M. (2016). Trajectories of peer victimization from primary to secondary school: Risk and protective factors. Developmental Psychology, 52(7), 11031114.CrossRefGoogle Scholar
Burt, S. A., & Mikolajewski, A. J. (2008). Preliminary evidence that specific candidate genes are associated with adolescent-onset antisocial behavior. Aggressive Behavior: Official Journal of the International Society for Research on Aggression, 34, 437445. https://doi.org/10.1002/ab.20251CrossRefGoogle ScholarPubMed
Cambron, C., Guttmannova, K., & Fleming, C. B. (2017). State and national contexts in evaluating cannabis laws: A case study of Washington State. Journal of Drug Issues, 47, 7490. doi:10.1177/0022042616678607CrossRefGoogle ScholarPubMed
Chen, D., Drabick, D. A., & Burgers, D. E. (2015). A developmental perspective on peer rejection, deviant peer affiliation, and conduct problems among youth. Child Psychiatry & Human Development, 46, 823838. doi:10.1007/s10578-014-0522-yCrossRefGoogle ScholarPubMed
Chhangur, R. R., Weeland, J., Overbeek, G., Matthys, W., Orobio de Castro, B., van der Giessen, D., & Belsky, J. (2016). Genetic moderation of intervention efficacy: Dopaminergic genes, the incredible years, and externalizing behavior in children. Child Development, 88, 796811. doi:10.1111/cdev.12612CrossRefGoogle ScholarPubMed
Cillessen, A. H., & Mayeux, L. (2004). From censure to reinforcement: Developmental changes in the association between aggression and social status. Child Development, 75, 147163.CrossRefGoogle ScholarPubMed
Connell, A. M., Dishion, T. J., & Deater-Deckard, K. (2006). Variable-and person-centered approaches to the analysis of early adolescent substance use: Linking peer, family, and intervention effects with developmental trajectories. Merrill-Palmer Quarterly (1982-), 421448.CrossRefGoogle Scholar
Dick, D. M., Barr, P. B., Cho, S. B., Cooke, M. E., Kuo, S. I. C., Lewis, T. J., … & Su, J. (2018). Post-GWAS in psychiatric genetics: A developmental perspective on the “other” next steps. Genes, Brain and Behavior, 17(3), e12447.CrossRefGoogle ScholarPubMed
Dick, D. M., & Kendler, K. S. (2012). The impact of gene–environment interaction on alcohol use disorders. Alcohol Research: Current Reviews, 34, 318.Google ScholarPubMed
DiLalla, L. F., Mullineaux, P. Y., & Elam, KK.. (2008). Twins. In Haith, M. M. & Benson, J. B. (Eds.), Encyclopedia of infant and early childhood development (Vol. 3, pp. 369379). Oxford: Elsevier.CrossRefGoogle Scholar
Dishion, T. J., Capaldi, D. M., & Yoerger, K. (1999). Middle childhood antecedents to progressions in male adolescent substance use: An ecological analysis of risk and protection. Journal of Adolescent Research, 14, 175205.CrossRefGoogle Scholar
Dishion, T. J., & Kavanagh, K. (2003). Intervening in adolescent problem behavior: A family-centered approach. New York, NY: Guilford Press.Google Scholar
Dishion, T. J., & Loeber, R. (1985). Adolescent marijuana and alcohol use: The role of parents and peers revisited. The American Journal of Drug and Alcohol Abuse, 11, 1125.CrossRefGoogle ScholarPubMed
Dishion, T. J., Shaw, D., Connell, A., Gardner, F., Weaver, C., & Wilson, M. (2008). The family check‐up with high‐risk indigent families: Preventing problem behavior by increasing parents’ positive behavior support in early childhood. Child Development, 79(5), 13951414.CrossRefGoogle ScholarPubMed
Dishion, T. J., & Tipsord, J. M. (2011). Peer contagion in child and adolescent social and emotional development. Annual Review of Psychology, 62, 189214. doi:10.1146/annurev.psych.093008.100412CrossRefGoogle ScholarPubMed
Elam, K. K., Chassin, L., Lemery-Chalfant, K., Pandika, D., Wang, F. L., Bountress, K., … Agrawal, A. (2017). Affiliation with substance-using peers: Examining gene-environment correlations among parent monitoring, polygenic risk, and children's impulsivity. Developmental Psychobiology, 59, 561573.CrossRefGoogle ScholarPubMed
Elam, K. K., Chassin, L., & Pandika, D. (2018). Polygenic risk, family cohesion, and adolescent aggression in Mexican American and European American families: Developmental pathways to alcohol use. Development and Psychopathology, 30, 17151728. doi:10.1017/S0954579418000901CrossRefGoogle ScholarPubMed
Elam, K. K., Clifford, S., Shaw, D. S., Wilson, M. N., & Lemery-Chalfant, K. (2019). Gene set enrichment analysis to create polygenic scores: A developmental examination of aggression. Translational Psychiatry, 9(1), 112.10.1038/s41398-019-0513-7CrossRefGoogle ScholarPubMed
Ettekal, I., & Ladd, G. W. (2015). Developmental pathways from childhood aggression–disruptiveness, chronic peer rejection, and deviant friendships to early-adolescent rule breaking. Child Development, 86, 614631. https://doi.org/10.1111/cdev.12321CrossRefGoogle ScholarPubMed
Fergusson, D. M., & Horwood, L. J. (1999). Prospective childhood predictors of deviant peer affiliations in adolescence. Journal of Child Psychology and Psychiatry, 40, 581592. doi:10.1111/1469-7610.00475CrossRefGoogle ScholarPubMed
Fite, P. J., Colder, C. R., & O'Connor, R. M. (2006). Childhood behavior problems and peer selection and socialization: Risk for adolescent alcohol use. Addictive Behaviors, 31, 14541459. doi:10.1016/j.addbeh.2005.09.015CrossRefGoogle ScholarPubMed
Fowler, J. H., Settle, J. E., & Christakis, N. A. (2011). Correlated genotypes in friendship networks. Proceedings of the National Academy of Sciences, 108, 19931997. doi:10.1073/pnas.1011687108CrossRefGoogle ScholarPubMed
Gifford-Smith, M., Dodge, K. A., Dishion, T. J., & McCord, J. (2005). Peer influence in children and adolescents: Crossing the bridge from developmental to intervention science. Journal of abnormal child psychology, 33, 255265. doi:10.1007/s10802-005-3563-7CrossRefGoogle Scholar
Glenn, A. L., Lochman, J. E., Dishion, T., Powell, N. P., Boxmeyer, C., & Qu, L. (2018). Oxytocin receptor gene variant interacts with intervention delivery format in predicting intervention outcomes for youth with conduct problems. Prevention Science, 19, 3848. doi 10.1007/s11121-017-0777-1CrossRefGoogle ScholarPubMed
Iacono, W. G., Malone, S. M., & McGue, M. (2008). Behavioral disinhibition and the development of early-onset addiction: Common and specific influences. Annual Review Clinical Psychology, 4, 325348. doi:10.1146/annurev.clinpsy.4.022007.141157CrossRefGoogle ScholarPubMed
King, S. M., Keyes, M., Malone, S. M., Elkins, I., Legrand, L. N., Iacono, W. G., & McGue, M. (2009). Parental alcohol dependence and the transmission of adolescent behavioral disinhibition: A study of adoptive and non-adoptive families. Addiction, 104, 578586. doi:10.1111/j.1360-0443.2008.02469.xCrossRefGoogle ScholarPubMed
Kuo, S. I., Salvatore, J. E., Aliev, F., Ha, T., Dishion, T. J., & Dick, D. M. (2019). The family check-up intervention moderates polygenic influences on long-term alcohol outcomes: results from a randomized intervention trial. Prevention Science, 20, 975985.CrossRefGoogle ScholarPubMed
Lacourse, E., Boivin, M., Brendgen, M., Petitclerc, A., Girard, A., Vitaro, F., … Tremblay, R. E. (2014). A longitudinal twin study of physical aggression during early childhood: evidence for a developmentally dynamic genome. Psychological Medicine, 44, 26172627.CrossRefGoogle ScholarPubMed
Leung, R. K., Toumbourou, J. W., & Hemphill, S. A. (2014). The effect of peer influence and selection processes on adolescent alcohol use: a systematic review of longitudinal studies. Health Psychology Review, 8, 426457. https://doi.org/10.1080/17437199.2011.587961CrossRefGoogle ScholarPubMed
Li, R., Dziak, J. D., Tan, X., Huang, L., Wagner, A. T., & Yang, J. (2015). TVEM (time-varying effect modeling) SAS macro users’ guide (version 3.1.0). University Park (PA): The Methodology Center, Penn State; updated 2015.Google Scholar
Lubke, G. H., McArtor, D. B., Boomsma, D. I., & Bartels, M. (2018). Genetic and environmental contributions to the development of childhood aggression. Developmental Psychology, 54, 312. http://dx.doi.org/10.1037/dev0000403CrossRefGoogle Scholar
Márquez-Luna, C., Loh, P. R., South Asian Type 2 Diabetes (SAT2D) Consortium, SIGMA Type 2 Diabetes Consortium, & Price, A. L. (2017). Multiethnic polygenic risk scores improve risk prediction in diverse populations. Genetic epidemiology, 41, 811823.CrossRefGoogle ScholarPubMed
Masten, A. S., & Cicchetti, D. (2010). Developmental cascades. Development and Psychopathology, 22, 491495. doi:10.1017/S0954579410000222CrossRefGoogle ScholarPubMed
McEachern, A., Dishion, T. J., Shaw, D. S., Wilson, M. N., & Gardner, F. (2012). Parenting Young Children (PARYC): Validation of a self-report parenting measure. Journal of Child and Family Studies, 21, 498511. http://dx.doi.org/10.1007/s10826-011-9503-yCrossRefGoogle ScholarPubMed
Mceachern, A. D., Fosco, G. M., Dishion, T. J., Shaw, D. S., Wilson, M. N., & Gardner, F. (2013). Collateral benefits of the family check-up in early childhood: Primary caregivers' social support and relationship satisfaction. Journal of Family Psychology, 27(2), 271281.CrossRefGoogle ScholarPubMed
Meier, M. H., Caspi, A., Ambler, A., Harrington, H., Houts, R., Keefe, R. S., … Moffitt, T. E. (2012). Persistent cannabis users show neuropsychological decline from childhood to midlife. Proceedings of the National Academy of Sciences, 109, E2657E2664.CrossRefGoogle ScholarPubMed
Milaniak, I., Watson, B., & Jaffee, S. R. (2015). Gene–environment interplay and substance use: A review of recent findings. Current Addiction Reports, 2, 364371.10.1007/s40429-015-0069-4CrossRefGoogle Scholar
Mooney, M. A., & Wilmot, B. (2015). Gene set analysis: A step-by-step guide. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, 168, 517527. doi:10.1002/ajmg.b.32328CrossRefGoogle ScholarPubMed
Moretto, E., Murru, L., Martano, G., Sassone, J., & Passafaro, M. (2018). Glutamatergic synapses in neurodevelopmental disorders. Progress in Neuropsychopharmacology & Biological Psychiatry, 84, 328342. doi:10.1016/j.pnpbp.2017.09.014CrossRefGoogle ScholarPubMed
Muthén, L. K., & Muthén, B. O. (2005). Mplus: Statistical analysis with latent variables: User's guide (pp. 1998-2012). Los Angeles: Muthén & Muthén.Google Scholar
Narvaes, R., & Martins de Almeida, R. M. (2014). Aggressive behavior and three neurotransmitters: Dopamine, GABA, and serotonin – A review of the last 10 years. Psychology & Neuroscience, 7, 601607. doi:10.3922/j.psns.2014.4.20CrossRefGoogle Scholar
Otten, R., Mun, C. J., Shaw, D. S., Wilson, M. N., & Dishion, T. J. (2019). A developmental cascade model for early adolescent-onset substance use: the role of early childhood stress. Addiction, 114, 326334.CrossRefGoogle ScholarPubMed
Pappa, I., St Pourcain, B., Benke, K., Cavadino, A., Hakulinen, C., Nivard, M. G., … Evans, D. M. (2016). A genome-wide approach to children's aggressive behavior: The EAGLE consortium. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, 171, 562572. https://doi.org/10.1002/ajmg.b.32333CrossRefGoogle ScholarPubMed
Peterson, R. E., Kuchenbaecker, K., Walters, R. K., Chen, C. Y., Popejoy, A. B., Periyasamy, S., … Carey, C. E. (2019). Genome-wide association studies in ancestrally diverse populations: Opportunities, methods, pitfalls, and recommendations. Cell, 179, 589603.CrossRefGoogle Scholar
Plomin, R., DeFries, J. C., & Loehlin, J. C. (1977). Genotype-environment interaction and correlation in the analysis of human behavior. Psychological Bulletin, 84, 309322. doi:10.1037/0033-2909.84.2.309CrossRefGoogle ScholarPubMed
Porsch, R. M., Middeldorp, C. M., Cherny, S. S., Krapohl, E., Van Beijsterveldt, C. E., Loukola, A., … Kaprio, J. (2016). Longitudinal heritability of childhood aggression. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, 171, 697707. doi:10.1002/ajmg.b.32420CrossRefGoogle ScholarPubMed
Price, A. L., Patterson, N. J., Plenge, R. M., Weinblatt, M. E., Shadick, N. A., & Reich, D. (2006). Principal components analysis corrects for stratification in genome-wide association studies. Nature Genetics, 38, 904909. doi:10.1038/ng1847CrossRefGoogle ScholarPubMed
Prinstein, M. J., & La Greca, A. M. (2004). Childhood peer rejection and aggression as predictors of adolescent girls’ externalizing and health risk behaviors: a 6-year longitudinal study. Journal of consulting and clinical psychology, 72, 103112. doi:10.1037/0022-006X.72.1.103CrossRefGoogle ScholarPubMed
Reiss, D., & Leve, L. D. (2007). Genetic expression outside the skin: Clues to mechanisms of Genotype× Environment interaction. Development and Psychopathology, 19, 10051027.CrossRefGoogle Scholar
Russell, M. A., Schlomer, G. L., Cleveland, H. H., Feinberg, M. E., Greenberg, M. T., Spoth, R. L., … Vandenbergh, D. J. (2018). PROSPER intervention effects on adolescents’ alcohol misuse vary by GABRA2 genotype and age. Prevention Science, 19, 2737. doi 10.1007/s11121-017-0751-yCrossRefGoogle ScholarPubMed
Schlomer, G. L., Cleveland, H. H., Feinberg, M. E., Wolf, P. S., Greenberg, M. T., Spoth, R. L., … Vandenbergh, D. J. (2017). Extending previous cG× I findings on 5-HTTLPR's moderation of intervention effects on adolescent substance misuse initiation. Child development, 88, 20012012. doi:10.1111/cdev.12666CrossRefGoogle Scholar
Shaw, D. S., Connell, A, Dishion, T. J., Wilson, M. N., & Gardner, F. (2009). Improvements in maternal depression as a mediator of intervention effects on early childhood problem behavior. Development and Psychopathology, 21(2), 417439.10.1017/S0954579409000236CrossRefGoogle ScholarPubMed
Shaw, D. S., Galán, C. A., Lemery-Chalfant, K., Dishion, T. J., Elam, K. K., Wilson, M. N., & Gardner, F. (2019). Trajectories and predictors of children's early-starting conduct problems: child, family, genetic, and intervention effects. Development and Psychopathology, 31, 19111921. doi:10.1017/S0954579419000828CrossRefGoogle ScholarPubMed
Sher, K. J., Jackson, K. M., & Steinley, D. (2011). Alcohol use trajectories and the ubiquitous cat's cradle: Cause for concern": Correction to Sher et al. (2011). Journal of Abnormal Psychology, 120, 510. doi:10.1037/a0023342CrossRefGoogle Scholar
Skinner, A., & Allen, B.. (1982). The Alcohol Problem scale (SUBSTS). Derived from the Alcohol Use Inventory. Journal of Abnormal Psychology, 91(3), 199209.CrossRefGoogle Scholar
Tan, X., Shiyko, M. P., Li, R., Li, Y., & Dierker, L. (2012). A time-varying effect model for intensive longitudinal data. Psychological Methods, 17, 6177. doi:10.1037/a0025814CrossRefGoogle ScholarPubMed
Tilton-Weaver, L. C., Burk, W. J., Kerr, M., & Stattin, H. (2013). Can parental monitoring and peer management reduce the selection or influence of delinquent peers? Testing the question using a dynamic social network approach. Developmental Psychology, 49, 20572070. doi:10.1037/a0031854CrossRefGoogle ScholarPubMed
Tofighi, D, & MacKinnon, DP. (2011). RMediation: An R package for mediation analysis confidence intervals. Behavior Research Methods, 43(3), 692700.10.3758/s13428-011-0076-xCrossRefGoogle Scholar
Tremblay, R. E., Masse, L. C., Vitaro, F., & Dobkin, P. L. (1995). The impact of friends’ deviant behavior on early onset of delinquency: Longitudinal data from 6 to 13 years of age. Developmental Processes in Peer Relations and Psychopathology, 7, 649667. doi:10.1017/S0954579400006763CrossRefGoogle Scholar
Trucco, E. M., Colder, C. R., Wieczorek, W. F., Lengua, L. J., & Hawk, L. W. (2014). Early adolescent alcohol use in context: How neighborhoods, parents, and peers impact youth. Development and Psychopathology, 26, 425436. doi:10.1017/S0954579414000042CrossRefGoogle ScholarPubMed
Van Beijsterveldt, C, Bartels, M, Hudziak, J, & Boomsma, DI. (2003). Causes of stability of aggression from early childhood to adolescence: A longitudinal genetic analysis in Dutch twins. Behavior Genetics, 33(5), 591605.CrossRefGoogle ScholarPubMed
Van IJzendoorn, M. H., & Bakermans-Kranenburg, M. J. (2015). Genetic differential susceptibility on trial: Meta-analytic support from randomized controlled experiments. Development and Psychopathology, 27, 151162.CrossRefGoogle ScholarPubMed
Volkow, N. D., Swanson, J. M., Evins, A. E., DeLisi, L. E., Meier, M. H., Gonzalez, R., … Baler, R. (2016). Effects of cannabis use on human behavior, including cognition, motivation, and psychosis: a review. JAMA Psychiatry, 73, 292297.10.1001/jamapsychiatry.2015.3278CrossRefGoogle ScholarPubMed
West, S. G., Finch, J. F., & Curran, P. J. (1995). Structural equation models with nonnormal variables: Problems and remedies. In Hoyle, R. H. (Ed.), Structural equation modeling: Concepts, issues, and applications (pp. 5675). Thousand Oaks, CA, US: Sage Publications.Google Scholar
Young-Wolff, K. C., Enoch, M. A., & Prescott, C. A. (2011). The influence of gene–environment interactions on alcohol consumption and alcohol use disorders: A comprehensive review. Clinical Psychology Review, 31, 800816. doi:10.1016/j.cpr.2011.03.005CrossRefGoogle ScholarPubMed
Yun, I., Cheong, J., & Walsh, A. (2011). Genetic and environmental influences in delinquent peer affiliation: From the peer network approach. Youth Violence and Juvenile Justice, 9, 241258. doi:10.1177/1541204010388527CrossRefGoogle Scholar
Zhang, K., Chang, S., Guo, L., & Wang, J. (2015). I-GSEA4GWAS v2: A web server for functional analysis of SNPs in trait-associated pathways identified from genome-wide association study. Protein Cell, 6, 221224. doi:10.1007/s13238-014-0114-4CrossRefGoogle ScholarPubMed
Zucker, R. A., Heitzeg, M. M., & Nigg, J. T. (2011). Parsing the undercontrol–disinhibition pathway to substance use disorders: A multilevel developmental problem. Child Development Perspectives, 5, 248255. doi:10.1111/j.1750-8606.2011.001CrossRefGoogle ScholarPubMed