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Disentangling Adolescent Pathways of Sexual Risk Taking

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Abstract

Using data from the National Longitudinal Survey of Youth, the authors aimed to describe the pathways of risk within sexual risk taking, alcohol use, and delinquency, and then identify how the trajectory of sexual risk is linked to alcohol use and delinquency. Risk trajectories were measured with adolescents aged 15–24 years (N = 1,778). Using Latent Class Growth Analyses (LCGA), models indicated that the majority of adolescents engaged in sexual risk and alcohol use. In joint trajectory analyses, LCGA revealed six risk taking classes: sex and alcohol, moderate risk taking, joint risk taking, moderate alcohol, alcohol risk, and alcohol and delinquency experimentation. Editors’ Strategic Implications: School administrators and curriculum designers should pay attention to the study’s findings with respect to the need for prevention programs to target early adolescents and integrate prevention messages about alcohol use and sexual risk taking.

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References

  • Allen, J. P., Leadbeater, B. J., & Aber, J. L. (1994). The development of problem behavior syndromes in at-risk adolescents. Development and Psychopathology, 6, 323–342.

    Article  Google Scholar 

  • Armistead, L., Kotchick, B. A., & Forehand, R. (2004). Teenage pregnancy, sexually transmitted diseases & HIV/AIDS. In L. A. Rapp-Paglicci, C. N. Dulmus, & J. S. Wodarski (Eds.), Handbook of preventive interventions for children and adolescents (pp. 227–254). New York: Wiley.

    Google Scholar 

  • Bryan, A., & Stallings, M. C. (2002). A case control study of adolescent risky sexual behavior and its relationship to personality definitions, conduct disorder, and substance use. Journal of Youth and Adolescence, 31, 387–396.

    Article  Google Scholar 

  • Bureau of Labor Statistics. (2009). The NLSY79. Retrieved July 1, 2009 from http://www.bls.gov/nls/nlsy79.htm.

  • Centers for Disease Control and Prevention. (2005). HIV/AIDS surveillance report, 2004. Atlanta: US Department of Health and Human Services.

    Google Scholar 

  • Centers for Disease Control and Prevention. (2008). Youth risk behavior surveillance—United States, 2007. Morbidity and Mortality Weekly Report, 57(SS-4), 1–131.

    Google Scholar 

  • Chassin, L., Pitts, S., & Prost, J. (2002). Binge drinking trajectories from adolescence to emerging adulthood in a high-risk sample: Predictors and substance abuse outcomes. Journal of Consulting and Clinical Psychology, 70, 67–78.

    Article  PubMed  Google Scholar 

  • Cicchetti, D., & Toth, S. L. (1997). Transactional ecological systems in developmental psychopathology. In S. S. Luthar, J. A. Burack, D. Cicchetti, & J. R. Weisz (Eds.), Developmental psychopathology: Perspectives on adjustment, risk, and disorder (pp. 317–349). New York: Cambridge University Press.

    Google Scholar 

  • Coley, R. L., & Chase-Lansdale, P. L. (1998). Adolescent pregnancy and parenthood: Recent evidence and future directions. American Psychologist, 53, 152–166.

    Article  CAS  PubMed  Google Scholar 

  • Crockett, L. J., Mouilanen, K. L., Raffaelli, M., & Randall, B. A. (2006). Psychological profiles and adolescent adjustment: A person-centered approach. Development and Psychopathology, 18, 195–214.

    Article  PubMed  Google Scholar 

  • Donovan, J. E., & Jessor, R. (1985). Structure of problem behavior in adolescence and young adulthood. Journal of Consulting and Clinical Psychology, 53, 890–904.

    Article  CAS  PubMed  Google Scholar 

  • Duncan, S. C., Strycker, L. A., & Duncan, T. E. (1999). Exploring associations in developmental trends of adolescent substance use and risky sexual behavior in a high-risk population. Journal of Behavioral Medicine, 22, 21–34.

    Article  CAS  PubMed  Google Scholar 

  • Ensminger, M. E. (1990). Sexual activity and problem behaviors among Black, urban adolescents. Child Development, 61, 2032–2046.

    Article  CAS  PubMed  Google Scholar 

  • French, D. C., & Dishion, D. J. (2003). Predictors of early initiation of sexual intercourse among high-risk adolescents. Journal of Early Adolescence, 23, 295–315.

    Article  Google Scholar 

  • Guilamo-Ramos, V., Litardo, H. A., & Jaccaard, J. (2005). Prevention programs for reducing adolescent problem behaviors: Implications of the co-occurrence of problem behaviors in adolescence. Journal of Adolescent Health, 36, 82–86.

    Article  PubMed  Google Scholar 

  • Guo, J., Chung, I., Hill, K. G., Hawkins, D., Catalano, R. F., & Abbott, R. D. (2002). Developmental relationships between adolescent substance use and risky sexual behavior in young adulthood. Journal of Adolescent Health, 31, 354–362.

    Article  PubMed  Google Scholar 

  • Hall, D. B. (2000). Zero-inflated Poisson and binomial regression with random effects: A case study. Biometrics, 56, 1030–1039.

    Article  CAS  PubMed  Google Scholar 

  • Hallfors, D. D., Iritani, B. J., Miller, W. C., & Bauer, D. J. (2007). Sexual and drug behavior patterns and HIV and STD racial disparities: The need for new directions. American Journal of Public Health, 97, 125–132.

    Article  PubMed  Google Scholar 

  • Hannon, L. (2003). Poverty, delinquency, and educational attainment: Cumulative disadvantage or disadvantage saturation? Sociological Inquiry, 73, 575–594.

    Article  Google Scholar 

  • Hawkins, J. D., Catalano, R. F., & Miller, J. Y. (1992). Risk and protective factors for alcohol and other drug problems in adolescence and early adulthood: Implications for substance abuse prevention. Psychological Bulletin, 112, 64–105.

    Article  CAS  PubMed  Google Scholar 

  • Hughes, T. L., Howard, M. J., & Henry, D. (2002). Nurses’ use of alcohol and other drugs: Findings from a national probability sample. Substance Use and Misuse, 37, 1423–1440.

    Article  PubMed  Google Scholar 

  • Jessor, R., & Jessor, S. L. (1977). Problem behavior and psychosocial development: A longitudinal study of youth. New York: Academic Press.

    Google Scholar 

  • Kazdin, A. E. (1997). Conduct disorder across the lifespan. In S. S. Luthar, J. A. Burack, D. Cicchetti, & J. R. Weisz (Eds.), Developmental psychopathology: Perspectives on adjustment, risk, and disorder (pp. 248–273). New York: Cambridge University Press.

    Google Scholar 

  • Kotchick, B. A., Shaffer, A., Forehand, R., & Miller, K. S. (2001). Adolescent sexual risk behavior: A multi-system perspective. Clinical Psychology Review, 21, 493–519.

    Article  CAS  PubMed  Google Scholar 

  • Kuperminc, G. P., & Allen, J. P. (2001). Social orientation: Problem behavior and motivations toward interpersonal problem solving among high-risk adolescents. Journal of Youth and Adolescence, 30, 597–622.

    Article  PubMed  Google Scholar 

  • Loeber, R., Farrington, D. P., Stouthamer-Loeber, M., & Van Kammen, W. B. (1998). Antisocial behavior and mental health problems: Explanatory factors in childhood and adolescence. Mahwah, NJ: Lawrence Erlbaum.

    Google Scholar 

  • Luthar, S. S., Cicchetti, D., & Becker, B. (2000). The construct of resilience: A critical evaluation and guidelines for future work. Child Development, 71, 543–562.

    Article  CAS  PubMed  Google Scholar 

  • Malow, R. M., Devieux, J. G., Jennings, T., Lucenko, B. A., & Kalichman, S. C. (2001). Substance-abusing adolescents at varying levels of HIV risk: Psychosocial characteristics, drug use, and sexual behavior. Journal of Substance Abuse, 13, 103–117.

    Article  CAS  PubMed  Google Scholar 

  • Muthén, B. (2000). Latent variable mixture modeling. In G. A. Marcoulides & R. E. Schumacker (Eds.), Advanced structural equation modeling: New developments and techniques (pp. 1–33). Mahwah, NJ: Lawrence Erlbaum.

    Google Scholar 

  • Muthén, B. O., & Muthén, L. K. (2000). The development of heavy drinking and alcohol-related problems from ages 18 to 37 in a U.S. national sample. Journal of Studies on Alcohol, 61, 290–300.

    PubMed  Google Scholar 

  • Muthén, L. K., & Muthén, B. O. (2006). Mplus user’s guide. Los Angeles, CA: Muthén & Muthén.

    Google Scholar 

  • Nagin, D. S. (1999). Analyzing developmental trajectories: A semiparametric, group-based approach. Psychological Methods, 4, 139–157.

    Article  Google Scholar 

  • Nagin, D. S., & Land, K. (1993). Age, criminal careers, and population heterogeneity: Specification and estimation of a non-parametric, mixed Poisson model. Criminology, 31, 327–362.

    Article  Google Scholar 

  • Nagin, D., & Tremblay, R. (1999). Trajectories of boys’ physical aggression, opposition, and hyperactivity on the path to physically violent and nonviolent juvenile delinquency. Child Development, 70, 1181–1196.

    Article  CAS  PubMed  Google Scholar 

  • Nagin, D. S., & Tremblay, R. E. (2001). Analyzing developmental trajectories of distinct but related behaviors: A group-based method. Psychological Methods, 6, 18–34.

    Article  CAS  PubMed  Google Scholar 

  • Perrino, T., Gonzalez-Soldevilla, A., Pantin, H., & Szapocznik, J. (2000). The role of families in adolescent HIV prevention: A review. Clinical Child and Family Psychology Review, 3, 81–96.

    Article  CAS  PubMed  Google Scholar 

  • Raffaelli, M., & Crockett, L. J. (2003). Sexual risk taking in adolescence: The role of self-regulation and attraction to risk. Developmental Psychology, 39, 1036–1046.

    Article  PubMed  Google Scholar 

  • Raftery, A. E. (1995). Bayesian model selection in social research. Sociological Methodology, 25, 111–164.

    Article  Google Scholar 

  • Savin-Williams, R., & Diamond, L. (2004). Sex. In R. Lerner & L. Steinberg (Eds.), Handbook of adolescent psychology (2nd ed., pp. 189–232). New York: Wiley.

    Google Scholar 

  • Schwarz, G. (1978). Estimating the dimension of a model. Annals of Statistics, 6, 461–464.

    Article  Google Scholar 

  • Singer, J. D., & Willett, J. B. (2003). Applied longitudinal data analysis: Modeling change and event occurrence. New York: Oxford University Press.

    Google Scholar 

  • Sroufe, L. A., & Rutter, M. (1984). The domain of developmental psychopathology. Child Development, 55, 17–29.

    Article  CAS  PubMed  Google Scholar 

  • Stueve, A., & O’Donnell, L. (2005). Early alcohol initiation and subsequent sexual and alcohol risk behaviors among urban youth. American Journal of Public Health, 95, 887–893.

    Article  PubMed  Google Scholar 

  • Talpert, S. F., Aarons, G. A., Sedlar, G. R., & Brown, S. A. (2001). Adolescent substance use and sexual risk-taking behavior. Journal of Adolescent Health, 28, 181–189.

    Article  Google Scholar 

  • Tolan, P., Gorman-Smith, D., & Henry, D. (2004). Supporting families in a high-risk setting: Proximal effects of the SAFEChildren preventive intervention. Journal of Consulting and Clinical Psychology, 72, 855–869.

    Article  PubMed  Google Scholar 

  • United States Department of Health and Human Services. (2007). The surgeon general’s call to action to prevent and reduce underage drinking. Washington, DC: Office of the Surgeon General.

    Google Scholar 

  • White, H. R., Loeber, R., Stouthamer-Loeber, M., & Farrington, D. P. (1999). Developmental associations between substance use and violence. Development and Psychopathology, 11, 785–803.

    Article  CAS  PubMed  Google Scholar 

  • Widaman, K. F. (2006). Missing data: What to do with or without them. Monographs of the Society for Research in Child Development, 71(3), 42–64.

    Google Scholar 

  • Willoughby, T., Chalmers, H., & Busseri, M. A. (2004). Where is the syndrome? Examining co-occurrence among multiple problem behaviors in adolescence. Journal of Consulting and Clinical Psychology, 6, 1022–1037.

    Article  Google Scholar 

  • Windle, M. (1990). A longitudinal study of antisocial behaviors in early adolescence as predictors of late adolescent substance use: Gender and ethnic group differences. Journal of Abnormal Psychology, 99, 86–91.

    Article  CAS  PubMed  Google Scholar 

  • Windle, M. (2000). A latent growth curve model of delinquent activity among adolescents. Applied Developmental Science, 4, 193–207.

    Article  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.

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgments

This work was supported by a National Research Service Award Predoctoral Fellowship to the first author by the National Institutes of Health for the National Institute on Drug Abuse, Prevention Research Branch, AIDS Research Program. The authors would like to thank Drs. Gabriel Kuperminc, Rose Sevcik, and Lisa Armistead for their support of this study and thoughtful feedback throughout its development. The findings and conclusions in this manuscript are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention.

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Correspondence to Kathryn A. Brookmeyer.

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Brookmeyer, K.A., Henrich, C.C. Disentangling Adolescent Pathways of Sexual Risk Taking. J Primary Prevent 30, 677–696 (2009). https://doi.org/10.1007/s10935-009-0196-6

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