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When the course of aggressive behavior in childhood does not predict antisocial outcomes in adolescence and young adulthood: An examination of potential explanatory variables

Published online by Cambridge University Press:  01 December 2004

HANNO PETRAS ,
CINDY M. SCHAEFFER ,
NICHOLAS IALONGO ,
SCOTT HUBBARD ,
BENGT MUTHÉN ,
SHARON F. LAMBERT ,
JEANNE PODUSKA  and
SHEPPARD KELLAM
HANNO PETRAS
Affiliation:
Johns Hopkins Bloomberg School of Public Health
CINDY M. SCHAEFFER
Affiliation:
University of Maryland, Baltimore County
NICHOLAS IALONGO
Affiliation:
Johns Hopkins Bloomberg School of Public Health
SCOTT HUBBARD
Affiliation:
Johns Hopkins Bloomberg School of Public Health
BENGT MUTHÉN
Affiliation:
University of California, Los Angeles
SHARON F. LAMBERT
Affiliation:
Johns Hopkins Bloomberg School of Public Health
JEANNE PODUSKA
Affiliation:
American Institutes of Research
SHEPPARD KELLAM
Affiliation:
American Institutes of Research
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Abstract

Theoretical models and empirical studies suggest that there are a number of distinct pathways of aggressive behavior development in childhood that place youth at risk for antisocial outcomes in adolescence and young adulthood. The prediction of later antisocial behavior based on these early pathways, although substantial, is not perfect. The goal of the present study was to identify factors that explain why some boys on a high-risk developmental trajectory in middle childhood do not experience an untoward outcome, and, conversely, why some boys progressing on a low-risk trajectory do become involved in later antisocial behavior. To that end, we explored a set of theoretically derived predictors measured at entrance to elementary and middle school and examined their utility in explaining discordant cases. First-grade reading achievement, race, and poverty status proved to be significant early predictors of discordance, whereas the significant middle-school predictors were parent monitoring, deviant peer affiliation, and neighborhood level of deviant behavior.This research was supported by grants from the National Institutes of Mental Health (RO1 MH42968 to Sheppard G. Kellam, PI, and T-32 MH18834 to Nick Ialongo, PI) and the Centers for Disease Control and Prevention (R49/CCR318627-03). We thank the Baltimore City Public Schools for their continuing collaborative efforts and the parents, children, teachers, principals, and school psychologists and social workers who participated.

Type
Research Article
Information
Development and Psychopathology , Volume 16 , Issue 4 , December 2004 , pp. 919 - 941
Copyright
© 2004 Cambridge University Press

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References

REFERENCES

Akaike, H. (1987). Factor analysis and AIC. Psychometrika 52, 317–332.Google Scholar
American Psychiatric Association. (1994). Diagnostic and statistical manual of mental disorders (4th ed.). Washington, DC: Author.
Arbuckle, J. L. (1996). Full information estimation in the presence of incomplete data. In G. A. Marcoulides & R. E. Schumacker (Eds.), Advanced structural equation modeling: Issues and techniques. Mahwah, NJ: Erlbaum.
Beck, A. J., & Karberg, J. (2001). Prison and Jail Inmates at Midyear 2000. Washington, DC: Bureau of Justice Statistics.
Bradley, R. H., & Corwyn, R. F. (2002). Socioeconomic status and child development. Annual Review of Psychology 53, 371–399.Google Scholar
Broidy, L. M., Nagin, D. S., Tremblay, R. E., Bates, J. E., Brame, B., Dodge, K. A., Fergusson, D., Horwood, J. L., Loeber, R., Laird, R., Lyman, D. R., Moffitt, T. E., Pettit, G. S., & Vitaro, F. (2003). Developmental trajectories of childhood disruptive behaviors and adolescent delinquency: A six-site, cross-national study. Developmental Psychology 39, 222–245.Google Scholar
Bronfenbrenner, U. (1979). The ecology of human development: Experiments by nature and design. Cambridge, MA: Harvard University Press.
Capaldi, D. M., & Patterson, G. R. (1989). Psychometric properties of fourteen latent constructs from the Oregon Youth Study. New York: Springer–Verlag.
Cicchetti, D., & Schneider–Rosen, K. (1984). Toward a transactional model of childhood depression. In D. Cicchetti & K. Schneider–Rosen (Eds.), Childhood depression a developmental perspective (pp. 5–28). San Francisco, CA: Jossey–Bass.
Crijnen, A. A. M., Feehan, M., & Kellam, S. G. (1998). The course and malleability of reading achievement in elementary school: The application of growth curve modeling in the evaluation of a mastery learning intervention. Learning and Individual Differences 10, 137–157.Google Scholar
Curran, P. J., Muthén, B. O., & Harford, T. C. (1998). The influence of changes in marital status on developmental trajectories of alcohol use in young adults. Journal of Studies on Alcohol 59, 647–658.Google Scholar
Deater–Deckard, K. (2001). Annotation: Recent research examining the role of peer relationships in the development of psychopathology. Journal of Child Psychology and Psychiatry and Allied Disciplines 42, 565–579.Google Scholar
Denno, D. W. (1990). Biology and violence: From birth to adulthood. Cambridge: Cambridge University Press.
Dolan, L. J., Kellam, S. G., Brown, C. H., Werthamer–Larsson, L., Rebok, G. W., Mayer, L. S., Laudolff, J., Turkkan, J., Ford, C., & Wheeler, L. (1993). The short-term impact of two classroom-based preventive interventions on aggressive and shy behaviors and poor achievement. Journal of Applied Developmental Psychology 14, 317–345.Google Scholar
Elliot, D. S., Huizinga, D., & Ageton, S. S. (1985). Explaining delinquency and drug use. Beverly Hills, CA: Sage.
Ensminger, M. E., Forrest, C. B., Riley, A. W., Kang, M., Green, B. F., Starfield, B., & Ryan, S. A. (2000). The validity of measures of socioeconomic status of adolescents. Journal of Adolescent Research 15, 392–419.Google Scholar
Ensminger, M. E., Kellam, S. G., & Rubin, B. R. (1983). School and family origins of delinquency: Comparisons by sex. In K. T. Van Dusen & S. A. Mednick (Eds.), Prospective studies of crime and delinquency (pp. 73–97). Boston: Kluwer–Niejhoff.
Farrington, D.P. (1989). Early predictors of adolescent aggression and violence. Violence and Victims 4, 79–100.Google Scholar
French, D. C., Conrad, J., & Turner, T. M. (1995). Adjustment of antisocial and nonantisocial rejected adolescents. Development and Psychopathology 7, 857–874.Google Scholar
Greenberg, M., Domitrovich, C., & Bumbarger, B. (2001). The prevention of mental disorders in school-aged children: current state of the field. Prevention & Treatment 4.Google Scholar
Hanson, W. B., Tobler, N. S., & Graham, J. W. (1990). Attrition in substance abuse prevention research: A meta-analysis of 85 longitudinally followed cohorts. Evaluation Review 14, 677–685.Google Scholar
Haselager, G. J. T., Van Lieshout, C. F. M., Riksen–Walraven, J. M. A., Cillessen, A. H. N., & Hartup, W. W. (2002). Heterogeneity among peer-rejected boys across middle childhood: Developmental pathways of social behavior. Developmental Psychology 38, 446–456.Google Scholar
Hawkins, J. D., Herrenkohl, T. I., Farrington, D. P., Brewer, D., Catalano, R. F., Harachi, T. W., & Cothern, L. (2000). Predictors of youth violence. Office of Juvenile Justice and Delinquency Prevention Bulletin 4, 1–11.Google Scholar
Hektner, J. M., August, G. J., & Realmuto, G. M. (2000). Patterns and temporal changes in peer affiliation among aggressive and nonaggressive children participating in a summer school program. Journal of Clinical Child Psychology 29, 603–614.Google Scholar
Ialongo, N. S., Werthamer, L., Kellam, S. G., Brown, C. H., Wang, S., & Lin, Y. (1999). Proximal impact of two first-grade preventive interventions on the early risk behaviors for later substance abuse, depression, and antisocial behavior. American Journal of Community Psychology 27, 599–641.Google Scholar
Ingoldsby, E. M., & Shaw, D. S. (2002). Neighborhood contextual factors and early-starting antisocial pathways. Clinical Child and Family Psychology Review 5, 21–55.Google Scholar
Jensen, P. S., Martin, D., & Cantwell, D. P. (1997). Comorbidity in ADHD: Implications for research, practice, and DSM-IV. Journal of the American Academy of Child and Adolescent Psychiatry 36, 1065–1079.Google Scholar
Jo, B., Muthén, B., Ialongo, N. S., & Brown, C. H. (2004). Cluster randomized trials with nonadherence. Manuscript submitted for publication.
Kellam, S. G., Werthamer–Larsson, L., Dolan, L. J., Brown, C. H., Mayer, L. S., Rebok, G. W., Anthony, J. C., Laudolff, J., Edelsohn, G., & Wheeler, L. (1991). Developmental epidemiologically-based preventive trials: Baseline modeling of early target behaviors and depressive symptoms. American Journal of Community Psychology 19, 563–584.Google Scholar
Kellam, S. G., Mayer, L. S., Rebok, G. W., & Hawkins, W. E. (1998). The effects of improving achievement on aggressive behavior and of improving aggressive behavior on achievement through two prevention interventions: An investigation of causal paths. In B. Dohrenwend (Ed.), Adversity, stress and psychopathology (Vol. 27, pp. 486–505). New York: Oxford University Press.
Lahey, B. B., McBurnett, K., & Loeber, R. (2000). Are attention-deficit/hyperactivity disorder and oppositional defiant disorder developmental precursors to conduct disorder? In A. J. Sameroff & M. Lewis (Eds.), Handbook of developmental psychopathology (2nd ed., pp. 431–446). New York: Plenum Press.
Little, R. J. (1995). Modeling the dropout mechanism in repeated-measures studies. Journal of the American Statistical Association 90, 1112–1121.Google Scholar
Lo, Y., Mendell, N. R., & Rubin, D. B. (2001). Testing the number of components in a normal mixture. Biometrika 88, 767–778.Google Scholar
Loeber, R., & Hay, D. (1997). Key issues in the development of aggression and violence from childhood to early adulthood. Annual Review of Psychology 48, 371–410.Google Scholar
Loeber, R., & Stouthamer–Loeber, M. (1998). Development of juvenile aggression and violence: Some common misconceptions and controversies. American Psychologist 53, 242–259.Google Scholar
Loeber, R., Wei, E., Stouthamer–Loeber, M., Huizinga, D., & Thornberry, T. P. (1999). Behavioral antecedents to serious and violent offending: Joint analyses from the Denver Youth Survey, Pittsburgh Youth Study, and the Rochester Youth Development Study. Studies on Crime and Crime Prevention 8, 245–263.Google Scholar
Loeber, R., Wung, P., Keenan, K., Giroux, B., Stouthamer–Loeber, M., Van Kammen, W. B., & Maughan, B. (1993). Developmental pathways in disruptive child behavior. Development and Psychopathology 5, 103–133.Google Scholar
Lynam, D. R. (1996). The early identification of chronic offenders: Who is the fledging psychopath? Psychological Bulletin 120, 209–234.Google Scholar
Magnusson, D. (1998). The logic and implications of a person-oriented approach. In R. B. Cairns, L. R. Bergman, & J. Kagan (Eds.), Methods and models for studying the individual (pp. 33–64). Thousand Oaks, CA: Sage.
Maguin, E., & Loeber, R. (1996). Academic performance and delinquency. In M. Tomry (Ed.), Crime and Justice: A review of research (Vol. 20, pp. 145–264). Chicago: University of Chicago Press.
Maughan, B., Pickles, A., Rowe, R., Costello, E. J., & Angold, A. (2000). Developmental trajectories of aggressive and nonaggressive conduct problems. Journal of Quantitative Criminology 16, 199–221.Google Scholar
Maughan, B., & Rutter, M. (1998). Continuities and discontinuities in antisocial behavior from childhood to adult life. In T. H. Ollendick & R. J. Prinz (Eds.), Advances in clinical child psychology (Vol. 20, pp. 1–47). New York: Plenum Press.
McCord, J. (1983). A longitudinal study of aggression and antisocial behavior. In K. T. Van Dusen & S. A. Mednick (Eds.), Studies of crime and delinquency (pp. 269–275). Boston: Kluwer–Nijhoff.
McCord, J., & Ensminger, M. E. (1997). Multiple risks and co-morbidity in an African-American population. Criminal Behavior and Mental Health 7, 339–352.Google Scholar
Moffitt, T. E. (1993). Adolescent-limited and life-course persistent antisocial behavior: A developmental taxonomy. Psychological Review 100, 674–701.Google Scholar
Moffitt, T. E., & Caspi, A. (2001). Childhood predictors differentiate life-course persistent and adolescence-limited antisocial pathways among males and females. Development and Psychopathology 13, 355–375.Google Scholar
Moffitt, T. E., Caspi, A., Harrington, H., & Milne, B. J. (2002). Males on the life-course-persistent and adolescence-limited antisocial pathways: Follow-up at age 26 years. Development and Psychopathology 14, 179–207.Google Scholar
Muthén, B. (2000). Methodological issues in random coefficient growth modeling using a latent variable framework: Applications to the development of heavy drinking in ages 18–37. In J. S. Rose, L. Chassin, C. Presson, & J. Sherman (Eds.), Multivariate applications in substance use research: New methods for new questions (pp. 113–140). Mahwah, NJ: Erlbaum.
Muthén, B. (2001). Latent variable mixture modeling. In G. A. Marcoulides & R. E. Schumacker (Eds.), New developments and techniques in structural equation modeling (pp. 1–33). Washington, DC: APA.
Muthén, B. (2003). Statistical and substantive checking in growth mixture modeling: Comment on Bauer and Curran (2003). Psychological Methods 3, 369–377.Google Scholar
Muthén, B., & Muthén, L. K. (2000). Integrating person-centered and variable-centered analyses: Growth mixture modeling with latent trajectory classes. Alcoholism: Clinical and Experimental Research 24, 1–10.Google Scholar
Muthén, B., & Shedden, K. (1999). Finite mixture modeling with mixture outcomes using the EM algorithm. Biometrics 6, 463–469.Google Scholar
Muthén, L. K., & Muthén, B. O. (1998). Mplus users guide. Los Angeles, CA: Muthén and Muthén.
Nagin, D. S. (1999). Analyzing developmental trajectories: A semiparametric, group-based approach. Psychological Methods 4, 139–157.Google Scholar
Nagin, D., & Tremblay, R. E. (1999). Trajectories of boys' physical aggression, opposition, and hyperactivity on the path to physically violent and nonviolent juvenile delinquency. Child Development 70, 1181–1196.Google Scholar
Oxford, M. L., Gilchrist, L. D., Morrison, D. M., Gillmore, M. R., Lohr, M. J., & Lewis, S. M. (2003). Alcohol use among adolescent mothers: Heterogeneity in growth curves. Prevention Science 4, 15–26.Google Scholar
Patterson, G. R. (1996). Some characteristics of a developmental theory for early-onset delinquency. In M. F. Lenzenweger & J. J. Haugaard (Eds.), Frontiers of developmental psychopathology (pp. 81–124). New York: Oxford University Press.
Patterson, G. R., DeBaryshe, B. D., & Ramsey, E. (1989). A developmental perspective on antisocial behavior. American Psychologist 44, 329–335.Google Scholar
Patterson, G. R., Forgatch, M. S., Yoerger, K. L., & Stoolmiller, M. (1998). Variables that initiate and maintain an early-onset trajectory for juvenile offending. Development and Psychopathology 10, 531–547.Google Scholar
Patterson, G. R., Reid, J. B., & Dishion, T. J. (1992). A social learning approach: Vol. 4. Antisocial boys. Eugene, OR: Castilia.
Ramaswamy, V., DeSarbo, W., Reibstein, D., & Robinson, W. (1993). An empirical pooling approach for estimating marketing mix elasticities with PIMS data. Marketing Science 12, 103–124.Google Scholar
Reid, J., Eddy, M., & Fetrow, R. (1999). Description and immediate impacts of a preventive intervention for conduct problems. American Journal of Community Psychology 27, 483–517.Google Scholar
Sandler, I. N., Tein, J. Y., Mehta, P., Wolchik, S., & Ayers, T. (2000). Coping efficacy and psychological problems of children of divorce. Child Development 71, 1099–1118.Google Scholar
Satterfield, J. H., & Schell, A. (1997). A prospective study of hyperactive boys with conduct problems and normal boys: Adolescent and adult criminality. Journal of the American Academy of Child and Adolescent Psychiatry 36, 1726–1735.Google Scholar
Schaeffer, C., Petras, H., Ialongo, N., Poduska, J., & Kellam, S. (2003). Modeling growth in boys' aggressive behavior across elementary school: Links to later criminal involvement, conduct disorder, and antisocial personality disorder. Developmental Psychology 39, 1020–1035.Google Scholar
Schwartz, G. (1978). Estimating the dimensions of a model. The Annals of Statistics 6, 461–464.Google Scholar
Schafer, J. L., & Graham, J. W. (2002). Missing data: Our view of the state of the art. Psychological Methods 7, 147–177.Google Scholar
Schwartz, G. (1978). Estimating the dimension of a model. The Annals of Statistics 6, 461–464.Google Scholar
Schwartz, D. (2000). Subtypes of victims and aggressors in children's peer groups. Journal of Abnormal Child Psychology 28, 181–192.Google Scholar
Sclove, L. S. (1987). Application of model-selection criteria to some problems in multivariate analysis (Tech. Rept.). Los Angeles: University of California.
Shaw, D. S., Gilliom, M., Ingoldsby, E. M., & Nagin, D. S. (2003). Trajectories leading to school-age conduct problems. Developmental Psychology 39, 189–200.Google Scholar
Sickmund, M. (2000). Offenders in Juvenile Court, 1997. Juvenile Justice Bulletin 7.Google Scholar
Snyder, H. N., & Sickmund, M. (1999). Juvenile offenders and victims: 1999 national report. Washington, DC: National Center for Juvenile Justice.
Snyder, H. N., & Sickmund, M. (2000). Challenging the myths. Juvenile Justice Bulletin, May 25th.Google Scholar
Stattin, H., & Kerr, M. (2000). Parental monitoring. Child Development 71, 1072–1085.Google Scholar
Tolan, P. H., & Gorman–Smith, D. (1998). Development of serious, violent, and chronic offenders. In R. Loeber & D. Farrington (Eds.), Never too early, never too late: Serious, violent, and chronic juvenile offenders (pp. 68–85). Beverly Hills, CA: Sage.
US Public Health Service. (2001). Mental health: Culture, race, and ethnicity. A supplement to mental health: A report of the Surgeon General. Rockville, MD: US Department of Health and Human Services, Substance Abuse and Mental Health Services Administration, Center for Mental Health Services, National Institutes of Health, National Institute of Mental Health.
Wardrop, J. L. (1989). Review of the California Achievement Tests, Forms E and F. In J. Close Conoley & J. Kramer (Eds.) The tenth mental measurements yearbook (pp. 128–133), Lincoln, NE: University of Nebraska Press.
Werthamer–Larsson, L., Kellam, S. G., & Wheeler, L. (1991). Effect of first-grade classroom environment on child shy behavior, aggressive behavior, and concentration problems. American Journal of Community Psychology 19, 585–602.Google Scholar
White, H. R., Xie, M., Thompson, W., Loeber, R., & Stouthamer–Loeber, M. (2001). Psychopathology as a predictor of adolescent drug use trajectories. Psychology of Addictive Behaviors 15, 210–218.Google Scholar
Yoshikawa, H. (1994). Prevention as cumulative protection: Effects of early family support and education on chronic delinquency and its risks. Psychological Bulletin 115, 28–54.Google Scholar
Zimmerman, R. S., Khoury, E. L., Vega, W. A., & Gil, A. G. (1995). Teacher and parent perceptions of behavior problems among a sample of African-American, Hispanic, and non-Hispanic White students. American Journal of Community Psychology 23, 181–197Google Scholar