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Substance abuse hinders desistance in young adults' antisocial behavior

Published online by Cambridge University Press:  01 December 2004

ANDREA M. HUSSONG ,
PATRICK J. CURRAN ,
TERRIE E. MOFFITT ,
AVSHALOM CASPI  and
MADELINE M. CARRIG
ANDREA M. HUSSONG
Affiliation:
University of North Carolina at Chapel Hill
PATRICK J. CURRAN
Affiliation:
University of North Carolina at Chapel Hill
TERRIE E. MOFFITT
Affiliation:
Institute of Psychiatry, University of London University of Wisconsin–Madison
AVSHALOM CASPI
Affiliation:
Institute of Psychiatry, University of London University of Wisconsin–Madison
MADELINE M. CARRIG
Affiliation:
University of North Carolina at Chapel Hill
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Abstract

We examined two hypotheses about the developmental relation between substance abuse and individual differences in desistance from antisocial behavior during young adulthood. The “snares” hypothesis posits that substance abuse should result in time-specific elevations in antisocial behavior relative to an individual's own developmental trajectory of antisocial behavior, whereas the “launch” hypothesis posits that substance abuse early in young adulthood slows an individual's overall pattern of crime desistance relative to the population norm during this developmental period. We conducted latent trajectory analyses to test these hypotheses using interview data about antisocial behaviors and substance abuse assessed at ages 18, 21, and 26 in men from the Dunedin Multidisciplinary Health and Development Study (N = 461). We found significant individual variability in initial levels and rates of change in antisocial behavior over time as well as support for both the snares hypothesis and the launch hypothesis as explanations for the developmental relation between substance abuse and crime desistance in young men.We thank the Dunedin Study members, Dunedin Unit Director Richie Poulton, Unit research staff, and Study founder Phil Silva. Research assistance was provided by HonaLee Harrington. The Dunedin Multidisciplinary Health and Development Research Unit is supported by the New Zealand Health Research Council. We also thank Alex Piquero for his helpful comments. This research received support from the NIDA (Grant DA15398 and DA13148), NIMH (Grants MH45070 and MH49414), William T. Grant Foundation, and Air New Zealand.

Type
Research Article
Information
Development and Psychopathology , Volume 16 , Issue 4 , December 2004 , pp. 1029 - 1046
Copyright
© 2004 Cambridge University Press

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References

REFERENCES

American Psychiatric Association. (2000). Diagnostic and statistical manual (4th ed., Text revision). Washington, DC: Author.
Babinski, L. M., Hartough, C. S., & Lambert, N. M. (2001). A comparison of self-report of criminal involvement and official arrest records. Aggressive Behavior 27, 44–54.Google Scholar
Bachman, J. G., Wadsworth, K. N., O'Malley, P. M., Schulenberg, J., & Johnston, L. D. (1997). Marriage, divorce and parenthood during the transition to young adulthood: Impacts on drug use and abuse. In J. Schulenberg, J. L. Maggs, & K. Hurrelmann (Eds.), Health risks and developmental transitions during adolescence (pp. 246–282). New York: Cambridge University Press.
Baumrind, D., & Moselle, K. A. (1985). A developmental perspective on adolescent drug abuse. Advances in Alcohol and Substance Abuse 4, 41–46.Google Scholar
Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin 107, 238–246.Google Scholar
Blumstein, A. (1995). Youth violence, guns and the illicit-drug industry. Journal of Criminal Law and Criminology 86, 10–36.Google Scholar
Blumstein, A., Cohen, J., & Farrington, D. P. (1988). Criminal career research: Its value for criminology. Criminology 26, 1–35.Google Scholar
Bollen, K. A. (1989). A new incremental fit index for general structural equation models. Sociological Methods & Research 17, 303–316.Google Scholar
Bollen, K. A., & Curran, P. J. (in press). Autoregressive latent trajectory (ALT) models: A synthesis of two traditions. Sociological Methods and Research.
Bryk, A. S., & Raudenbush, S. W. (1992). Hierarchical linear models: Applications and data analysis methods. Newbury Park, CA: Sage.
Bushman, B. J., & Cooper, H. M. (1990). Effects of alcohol on human aggression: An integrative research review. Psychological Bulletin 107, 341–354.Google Scholar
Bushway, S., Piquero, A., Brody, L., Cauffman, E., & Mazerolle, P. (2001). An empirical framework for studying desistance as a process. Criminology 39, 491–515.Google Scholar
Cairns, R. B., & Cairns, B. D. (1994). Lifelines and risks: Pathways of youth in our time. Cambridge: Cambridge University Press.
Carrig, M. M., Wirth, R. J., & Curran, P. J. (in press). A SAS macro for estimating and visualizing individual growth curves. Journal of Structural Equation Modeling.
Curran, P. J., Bauer, D. J., & Willoughby, M. T. (in press). Testing and probing interactions in hierarchical linear growth models. In C. S. Bergeman & S. M. Boker (Eds.), The Notre Dame series on quantitative methodology: Vol. 1. Methodological issues in aging research. Mahwah, NJ: Erlbaum.
Curran, P. J., & Bollen, K. A. (2001). The best of both worlds: Combining autoregressive and latent curve models. In L. M. Collins & A. G. Sayer (Eds.), New Methods for the analysis of change (pp. 105–136). Washington, DC: American Psychological Association.
Curran, P. J., & Hussong, A. M. (2002). Structural equation modeling of repeated measures data. In D. Moskowitz & S. Hershberger (Eds.), Modeling intraindividual variability with repeated measures data: Methods and applications (pp. 59–86). Mahwah, NJ: Erlbaum.
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
Farrington, D. P. (1986). Age and crime. In M. Tonry & N. Morris (Eds.), Crime and justice: An annual review of research (Vol. 7, pp. 189–250). Chicago: University of Chicago Press.
Fergusson, D. M., & Horwood, L. J. (2000). Alcohol abuse and crime: A fixed-effects regression analysis. Addiction 95, 1525–1536.Google Scholar
Gottfredson, M., & Hirschi, T. (1995). Control theory and the life-course perspective. Studies on Crime and Crime Prevention 4, 131–142.Google Scholar
Horney, J., Osgood, D. W., & Marshall, I. H. (1995). Criminal careers in the short-term: Intra-individual variability in crime and its relation to local life circumstances. American Sociological Review 60, 655–673.Google Scholar
Huang, B., White, H. R., Kosterman, R., Catalano, R. F., & Hawkins, J. D. (2001). Developmental associations between alcohol and interpersonal aggression during adolescence. Journal of Research in Crime and Delinquency 38, 64–83.Google Scholar
Huizinga, D., & Elliott, D. S. (1986). Reassessing the reliability and validity of self-report delinquency measures. Journal of Quantitative Criminology 2, 293–327.Google Scholar
Kinderman, T. A., & Skinner, E. A. (1992). Modeling environmental development: Individual and contextual trajectories. In J. B Asendorpf & J. Valsiner (Eds.), Stability and change in development: A study of methodological reasoning (pp. 155–190). Newbury Park, CA: Sage.
Krueger, R. F., Hicks, B. M., Patrick, C. J., Carlson, S. R., Iacono, W. G., & McGue, M. (2002). Etiologic connections among substance dependence, antisocial behavior and personality: Modeling the externalizing spectrum. Journal of Abnormal Psychology 111, 411–424.Google Scholar
Laub, J. H., Nagin, D. S., & Sampson, R. J. (1998). Trajectories of change in criminal offending: Good marriages and the desistance process. American Sociological Review 63, 225–238.Google Scholar
Laub, J. H., & Sampson, R. J. (2001). Understanding desistance from crime. In M. Tonry (Ed.), Crime and justice: An annual review. Chicago: University of Chicago Press.
Leonard, K. E., & Rothbard, J. C. (2000). Alcohol and the marriage effect. Journal of Studies on Alcohol, 13(Suppl.), 139–146.Google Scholar
MacCallum, R. C. (1990). The need for alternative measures of fit in covariance structure modeling. Multivariate Behavioral Research 25, 157–162.Google Scholar
McArdle, J. J. (1988). Dynamic but structural equation modeling of repeated measures data. In J. R. Nesselroade & R. B. Cattell (Eds.), Handbook of multivariate experimental psychology (2nd ed.). New York: Plenum Press
Meredith, W., & Tisak, J. (1984). “Tuckerizing” curves. Paper presented at the annual meeting of the Psychometric Society, Santa Barbara, CA.
Meredith, W., & Tisak, J. (1990). Latent curve analysis. Psychometrika 55, 107–122.Google Scholar
Miczek, K. A., DeBold, J. B., Haney, M., Tidey, J., Vivian, J., & Weertz, E. M. (1994). Alcohol, drugs of abuse, aggression and violence. In A. J. Reiss & J. A. Roth (Eds.), Understanding and preventing violence: Vol. 3. Social influences (pp. 377–570). Washington, DC: National Academy Press.
Moffitt, T. E. (1993). Adolescence-limited and life-course persistent antisocial behavior: A developmental taxonomy. Psychological Review 100, 674–701.Google Scholar
Moffitt, T. E., Caspi, A., Rutter, M., & Silva, P. A. (2001). Sex differences in antisocial behaviour: Conduct disorder, delinquency, and violence in the Dunedin longitudinal study. Cambridge: Cambridge University Press.
Moffitt, T. E., Caspi, A., Silva, P. A., & Stouthamer–Loeber, M. (1995). Individual differences in personality and intelligence are linked to crime: Cross-context evidence from nations, neighborhoods, genders, races, and age-cohorts. In J. Hagan (Ed.), Current perspectives on aging and the life cycle (Vol. 4, pp. 1–34). Greenwich, CT: JAI Press.
Moffitt, T. E., Silva, P. A., Lynam, D. R., & Henry, B. (1994). Self-reported delinquency at age 18: New Zealand's Dunedin Multidisciplinary Health and Development Study. In J. Junger–Tas & G. J. Terlouw (Eds.), The international self-report delinquency project (pp. 354–369). Amsterdam: Kugler Publications.
Munson, J. A., McMahon, R. J., & Spieker, S. J. (2001). Structure and variability in the developmental trajectory of children's externalizing problems: Impact of infant attachment, maternal depressive symptomatology, and child sex. Development and Psychopathology 13, 277–296.Google Scholar
Muthén, L. K., & Muthén, B. O. (1998). Mplus: The comprehensive modeling program for applied researchers. User's guide. Los Angeles: Muthén & Muthén.
Nagin, D. S., Farrington, D. P., & Moffitt, T. E. (1995). Life-course trajectories of different types of offenders. Criminology 33, 111–139.Google Scholar
Nagin, D. S., & Land, K. C. (1993). Population heterogeneity: Specification and estimation of a nonparametric, mixed Poisson model. Criminology 31, 327–362.Google Scholar
Piquero, A., Blumstein, A., Brame, R., Haapanen, R., Mulvey, E. P., & Nagin, D. S. (2001). Assessing the impact of exposure time and incapacitation on longitudinal trajectories of criminal offending. Journal of Adolescent Research 16, 54–74.Google Scholar
Piquero, A., Brame, R., Mazerolle, P., & Haapanen, R. (2001). Crime in emerging adulthood. Unpublished manuscript.
Quinton, D., Pickles, A., Maughan, B., & Rutter, M. (1993). Partners, peers, and pathways: Assortative pairing and continuities in conduct disorder. Development and Psychopathology 5, 763–783.Google Scholar
Reiss, A. J., & Roth, J. A. (1993). Understanding and preventing violence. Washington, DC: National Academy Press.
Robins, L. N. (1978). Sturdy predictors of adult antisocial behaviour: Replications from longitudinal studies. Psychological Medicine 8, 611–622.Google Scholar
Robins, L. N., Helzer, J. E., Cottler, L., & Goldring, E. (1989). Diagnostic Interview Schedule (version III-R). St Louis, MO: Washington University.
Rogosa, D. R., & Willett, J. B. (1985). Understanding correlates of change by modeling individual differences in growth. Psychometrika 50, 203–228.Google Scholar
Rutter, M. (1987). Psychosocial resilience and protective mechanisms. American Journal of Orthopsychiatry 57, 316–331.Google Scholar
Sampson, R. J., & Laub, J. H. (1993). Crime in the making: Pathways and turning points through life. Cambridge, MA: Harvard University Press.
Sher, K. J., & Gotham, H. J. (1999). Pathological alcohol involvement: A developmental disorder of young adulthood. Development and Psychopathology 11, 933–956.Google Scholar
Silva, P. A., & Stanton, W. R. (1996). From child to adult: The Dunedin Multidisciplinary Health and Development Study. Auckland: Oxford University Press.
Taylor, S. P., & Chermack, S. T. (1993). Alcohol, drugs, and human physical aggression. Journal of Studies on Alcohol, Supplement 11, 78–88.Google Scholar
Vaillant, G. E. (1995). The natural history of alcoholism revisited. Cambridge, MA: Harvard University Press.
Zucker, R. A. (1986). The four alcoholisms: A developmental account of the etiologic process. Nebraska Symposium on Motivation 34, 27–83.Google Scholar