Hostname: page-component-cd9895bd7-8ctnn Total loading time: 0 Render date: 2024-12-25T16:45:01.610Z Has data issue: false hasContentIssue false

A genetically informative developmental study of the relationship between conduct disorder and peer deviance in males

Published online by Cambridge University Press:  15 October 2007

K. S. Kendler*
Affiliation:
Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University Medical School, Richmond, VA, USA Department of Psychiatry, Medical College of Virginia/Virginia Commonwealth University, Richmond, VA, USA Department of Human Genetics, Medical College of Virginia/Virginia Commonwealth University, Richmond, VA, USA
K. Jacobson
Affiliation:
Department of Psychiatry, University of Chicago, Chicago IL, USA
J. M. Myers
Affiliation:
Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University Medical School, Richmond, VA, USA Department of Psychiatry, Medical College of Virginia/Virginia Commonwealth University, Richmond, VA, USA
L. J. Eaves
Affiliation:
Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University Medical School, Richmond, VA, USA Department of Human Genetics, Medical College of Virginia/Virginia Commonwealth University, Richmond, VA, USA
*
*Address for correspondence: K. S. Kendler, M.D., Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University Medical School, Box 980126, 800 E. Leigh Street, Room 1-123, Richmond, VA 23298-0126, USA. (Email: [email protected])

Abstract

Background

Conduct disorder (CD) and peer deviance (PD) both powerfully predict future externalizing behaviors. Although levels of CD and PD are strongly correlated, the causal relationship between them has remained controversial and has not been examined by a genetically informative study.

Method

Levels of CD and PD were assessed in 746 adult male–male twin pairs at personal interview for ages 8–11, 12–14 and 15–17 years using a life history calendar. Model fitting was performed using the Mx program.

Results

The best-fit model indicated an active developmental relationship between CD and PD including forward transmission of both traits over time and strong causal relationships between CD and PD within time periods. The best-fit model indicated that the causal relationship for genetic risk factors was from CD to PD and was constant over time. For common environmental factors, the causal pathways ran from PD to CD and were stronger in earlier than later age periods.

Conclusion

A genetically informative model revealed causal pathways difficult to elucidate by other methods. Genes influence risk for CD, which, through social selection, impacts on the deviance of peers. Shared environment, through family and community processes, encourages or discourages adolescent deviant behavior, which, via social influence, alters risk for CD. Social influence is more important than social selection in childhood, but by late adolescence social selection becomes predominant. These findings have implications for prevention efforts for CD and associated externalizing disorders.

Type
Original Articles
Copyright
Copyright © 2007 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

Allen, M, Donohue, WA, Griffin, A, Ryan, D, Turner, MM (2003). Comparing the influence of parents and peers on the choice to use drugs. Criminal Justice and Behavior 30, 163186.CrossRefGoogle Scholar
Ary, DV, Duncan, TE, Duncan, SC, Hops, H (1999). Adolescent problem behavior: the influence of parents and peers. Behavior Research and Therapy 37, 217230.CrossRefGoogle ScholarPubMed
Aseltine, RH Jr (1995). A reconsideration of parental and peer influences on adolescent deviance. Journal of Health and Social Behavior 36, 103121.Google Scholar
Baker, LA, Daniels, D (1990). Nonshared environmental influences and personality differences in adult twins. Journal of Personality and Social Psychology 58, 103110.Google Scholar
Bartels, M, van den Oord, EJ, Hudziak, JJ, Rietveld, MJ, van Beijsterveldt, CE, Boomsma, DI (2004). Genetic and environmental mechanisms underlying stability and change in problem behaviors at ages 3, 7, 10, and 12. Developmental Psychology 40, 852867.CrossRefGoogle Scholar
Belli, RF (1998). The structure of autobiographical memory and the event history calendar: potential improvements in the quality of retrospective reports in surveys. Memory 6, 383406.CrossRefGoogle ScholarPubMed
Bergen, SE, Gardner, CO, Kendler, KS (2007). Age related changes in heritability of behavioral phenotypes over adolescence and young adulthood: a meta-analysis. Twin Research 10, 423433.Google Scholar
Bucholz, KK, Cadoret, R, Cloninger, CR, Dinwiddie, SH, Hesselbrock, VM, Nurnberger, JI Jr, Reich, T, Schmidt, I, Schuckit, MA (1994). A new, semi-structured psychiatric interview for use in genetic linkage studies: a report on the reliability of the SSAGA. Journal of Studies on Alcohol 55, 149158.CrossRefGoogle ScholarPubMed
Bullock, BM, Deater-Deckard, K, Leve, LD (2006). Deviant peer affiliation and problem behavior: a test of genetic and environmental influences. Journal of Abnormal Child Psychology 34, 2941.Google Scholar
Cleveland, HH, Wiebe, RP, Rowe, DC (2005). Sources of exposure to smoking and drinking friends among adolescents: a behavioral-genetic evaluation. Journal of Genetic Psychology 166, 153169.Google ScholarPubMed
Coie, JD, Miller-Johnson, S (2001). Peer factors and interventions. In Child Delinquents: Development, Intervention, and Service Needs (ed. Loeber, R. and Farrington, D. P.), pp. 191209. Sage Publications, Inc: London.CrossRefGoogle Scholar
Daniels, D, Plomin, R (1985). Differential experience of siblings reared in the same family. Developmental Psychology 21, 747760.CrossRefGoogle Scholar
Dishion, TJ, Andrews, DW, Crosby, L (1995). Antisocial boys and their friends in early adolescence: relationship characteristics, quality, and interactional process. Child Development 66, 139151.CrossRefGoogle ScholarPubMed
Dishion, TJ, Bullock, BM, Granic, I (2002). Pragmatism in modeling peer influence: dynamics, outcomes, and change processes. Developmental Psychopathology 14, 969981.Google Scholar
Dishion, TJ, Patterson, GR, Griesler, PC (1994). Peers adaption in the development of antisocial behavior: a confluence model. In Aggressive Behavior: Current Perspectives (ed. Huesmann, L. R.), pp. 6195. Plenum: New York.Google Scholar
Eaves, LJ, Long, J, Heath, AC (1986). A theory of developmental change in quantitative phenotypes applied to cognitive development. Behavior Genetics 16, 143162.CrossRefGoogle ScholarPubMed
Eley, TC, Lichtenstein, P, Moffitt, TE (2003). A longitudinal behavioral genetic analysis of the etiology of aggressive and nonaggressive antisocial behavior. Developmental Psychopathology 15, 383402.Google Scholar
Farrington, D (2005). Childhood origins of antisocial behavior. Clinical Psychology and Psychotherapy 12, 177190.CrossRefGoogle Scholar
Fergusson, DM, Horwood, LJ (1999). Prospective childhood predictors of deviant peer affiliations in adolescence. Journal of Child Psychology and Psychiatry and Allied Disciplines 40, 581592.Google Scholar
Fergusson, DM, Woodward, LJ, Horwood, LJ (1999). Childhood peer relationship problems and young people's involvement with deviant peers in adolescence. Journal of Abnormal Child Psychology 27, 357369.CrossRefGoogle Scholar
Freedman, D, Thornton, A, Camburn, D, Alwin, D, Young-DeMarco, L (1988). The life history calendar: a technique for collecting retrospective data. Sociological Methodology 18, 3768.Google Scholar
Gelhorn, HL, Stallings, MC, Young, SE, Corley, RP, Rhee, SH, Hewitt, JK (2005). Genetic and environmental influences on conduct disorder: symptom, domain and full-scale analyses. Journal of Child Psychology and Psychiatry 46, 580591.CrossRefGoogle ScholarPubMed
Gordon, RA, Lahey, BB, Kawai, E, Loeber, R, Stouthamer-Loeber, M, Farrington, DP (2004). Antisocial behavior and youth gang membership: selection and socialization. Criminology 42, 5587.CrossRefGoogle Scholar
Hawkins, JD, Herrenkohl, T, Farrington, DP, Brewer, D, Catalano, RF, Harachi, TW (1998). A review of predictors of youth violence. In Serious and Violent Juvenile Offenders: Risk Factors and Successful Interventions (ed. Loeber, R. and Farrington, D. P.), pp. 106146. Sage Publications, Inc: London.Google Scholar
Iervolino, AC, Pike, A, Manke, B, Reiss, D, Hetherington, EM, Plomin, R (2002). Genetic and environmental influences in adolescent peer socialization: evidence from two genetically sensitive designs. Child Development 73, 162174.CrossRefGoogle ScholarPubMed
Jacobson, KC (2006). Genetic influence on the development of antisocial behavior. In Psychiatric Genetics (Review of Psychiatry) (ed. Kendler, K. S. and Eaves, L. J.), pp. 197232. American Psychiatric Publishing: Washington, DC.Google Scholar
Jacobson, KC, Prescott, CA, Kendler, KS (2000). Genetic and environmental influences on juvenile antisocial behaviour assessed on two occasions. Psychological Medicine 30, 13151325.Google Scholar
Jacobson, KC, Prescott, CA, Kendler, KS (2002). Sex differences in the genetic and environmental influences on the development of antisocial behavior. Developmental Psychopathology 14, 395416.Google Scholar
Jacobson, KC, Prescott, CA, Kendler, KS (in press). Secular trends in similarity of childhood twin environments: effects on twin similarity for conduct disordered behavior. Twin Research.Google Scholar
Johnston, LD, Bachman, JG, O'Malley, PM (1982). Monitoring the Future: Questionnaire Responses from the Nation's High School Seniors, 1981. Institute for Social Research: Ann Arbor, MI.Google Scholar
Kandel, DB (1978). Homophily, selection, and socialization in adolescent friendships. American Journal of Sociology 84, 427436.CrossRefGoogle Scholar
Kandel, DB (1996). The parental and peer contexts of adolescent deviance: an algebra of interpersonal influences. Journal of Drug Issues 26, 289315.Google Scholar
Kendler, KS, Jacobson, KC, Gardner, CO, Gillespie, NA, Aggen, SH, Prescott, CA (2007). Creating a social world: a developmental study of peer deviance. Archives of General Psychiatry 64, 958965.CrossRefGoogle Scholar
Krueger, RF, Hicks, BM, Patrick, CJ, Carlson, SR, Iacono, WG, McGue, M (2002). Etiologic connections among substance dependence, antisocial behavior, and personality: modeling the externalizing spectrum. Journal of Abnormal Psychology 111, 411424.Google Scholar
Lacourse, E, Nagin, DS, Vitaro, F, Cote, S, Arseneault, L, Tremblay, RE (2006). Prediction of early-onset deviant peer group affiliation: a 12-year longitudinal study. Archives of General Psychiatry 63, 562568.CrossRefGoogle ScholarPubMed
Lyons, MJ, True, WR, Eisen, SA, Goldberg, J, Meyer, JM, Faraone, SV, Eaves, LJ, Tsuang, MT (1995). Differential heritability of adult and juvenile antisocial traits. Archives of General Psychiatry 52, 906915.Google Scholar
Manke, B, McGuire, S, Reiss, D, Hetherington, EM, Plomin, R (1995). Genetic contributions to adolescents' extrafamilial social interactions: teachers, best friends, and peers. Social Development 4, 238256.CrossRefGoogle Scholar
Markon, KE, Krueger, RF (2004). An empirical comparison of information-theoretic selection criteria for multivariate behavior genetic models. Behavior Genetics 34, 593610.CrossRefGoogle ScholarPubMed
Miles, DR, Carey, G (1997). Genetic and environmental architecture of human aggression. Journal of Personality and Social Psychology 72, 207217.Google Scholar
Neale, MC, Boker, SM, Xie, G, Maes, HH (2003). Mx: Statistical Modeling. Department of Psychiatry, Virginia Commonwealth University Medical School, Box 980126: Richmond, VA 23298.Google Scholar
Patterson, GR, DeBaryshe, BD, Ramsey, E (1989). A developmental perspective on antisocial behavior. American Psychologist 44, 329335.Google Scholar
Patterson, GR, Dishion, TJ, Yoerger, K (2000). Adolescent growth in new forms of problem behavior: macro- and micro-peer dynamics. Prevention Science 1, 313.CrossRefGoogle ScholarPubMed
Petraitis, J, Flay, BR, Miller, TQ, Torpy, EJ, Greiner, B (1998). Illicit substance use among adolescents: a matrix of prospective predictors. Substance Use and Misuse 33, 25612604.CrossRefGoogle ScholarPubMed
Pike, A, Manke, B, Reiss, D, Plomin, R (2000). A genetic analysis of differential experiences of adolescent siblings across three years. Social Development 9, 96114.Google Scholar
Rhee, SH, Waldman, ID (2002). Genetic and environmental influences on antisocial behavior: a meta-analysis of twin and adoption studies. Psychological Bulletin 128, 490529.CrossRefGoogle ScholarPubMed
Rose, RJ (2002). How do adolescents select their friends? A behavior-genetic perspective. In Paths to Successful Development: Personality in the Life Course, (ed. Pulkkinen, L. and Caspi, A.), pp. 106125. Cambridge University Press: Cambridge, UK.Google Scholar
Rowe, DC (1983). Biometrical genetic models of self-reported delinquent behavior: a twin study. Behavior Genetics 13, 473489.Google Scholar
Rowe, DC, Osgood, D (1984). Heredity and sociological theories of delinquency: a reconsideration. American Sociological Review 49, 526540.Google Scholar
Rowe, DC, Woulbroun, EJ, Gulley, BL (1993). Peers and friends as nonshared environmental influences. In Separate Social Worlds of Siblings: The Impact of Nonshared Environment on Development (ed. Hetherington, E. M., Reiss, D. and Plomin, R.), pp. 159173. Lawrence Erlbaum Associates, Inc: Hillside, NJ.Google Scholar
Sampson, RJ, Raudenbush, SW, Earls, F (1997). Neighborhoods and violent crime: a multilevel study of collective efficacy. Science 277, 918924.Google Scholar
SAS Institute (2005). SAS software version 9.1.3. SAS Institute Inc: Cary, NC.Google Scholar
Scarr, S, McCartney, K (1983). How people make their own environments: a theory of genotype greater than environment effects. Child Development 54, 424435.Google Scholar
Schwarz, G (1978). Estimating the dimension of a model. Annual Statistics 6, 461464.Google Scholar
Slutske, WS (2001). The genetics of antisocial behavior. Current Psychiatry Reports 3, 158162.CrossRefGoogle ScholarPubMed
Steinberg, L, Fletcher, A, Darling, N (1994). Parental monitoring and peer influences on adolescent substance use. Pediatrics 93, 10601064.Google Scholar
Tarter, RE, Hegedus, A (1991). The Drug Use Screening Inventory: its application in the evaluation and treatment of alcohol and drug abuse. Alcohol Health and Research World 15, 6575.Google Scholar
van den Bree, MB, Pickworth, WB (2005). Risk factors predicting changes in marijuana involvement in teenagers. Archives of General Psychiatry 62, 311319.CrossRefGoogle ScholarPubMed
Walden, B, McGue, M, Iacono, WG, Burt, S, Elkins, I (2004). Identifying shared environment contributions to early substance use: the importance of peers versus parents. Journal of Abnormal Psychology 113, 440450.Google Scholar
Wills, TA, Cleary, SD (1999). Peer and adolescent substance use among 6th–9th graders: latent growth analyses of influence versus selection mechanisms. Health Psychology 18, 453463.Google Scholar
Wills, TA, Dishion, TJ (2004). Temperament and adolescent substance use: a transactional analysis of emerging self-control. Journal of Clinical Child and Adolescent Psychiatry 33, 6981.Google Scholar
Yoshihama, M, Clum, K, Crampton, A, Gillespie, B (2002). Measuring the lifetime experience of domestic violence: application of the life history calendar method. Violence and Victims 17, 297317.CrossRefGoogle ScholarPubMed