Distinct Stress and Resource Profiles Among At-Risk Adolescents: Implications for Violence and Other Problem Behaviors
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This study tests for the presence of subgroups among youth at-risk for school drop-out and whether those groups differ on levels of violence and related problem behaviors. Latent profile analysis was employed with a diverse adolescent sample (N = 849) to identify and describe subgroups based on assessment of stress and coping resources, resulting in four distinct groups: Low Risk, Unprotected, Risk Only, and High Risk. Tests across these groups demonstrated significant heterogeneity in violent behaviors, substance use, and school disengagement. The value of stress and protective resource assessment and tailoring interventions to meet the differing needs of vulnerable youth is discussed.
KeywordsRisk and protective factors Adolescent violence Substance use School drop-out Person-oriented methods
This research was supported by grants from NINR Grant # R01 NR03550 “Suicide Risk From Adolescence to Young Adulthood,” NCRR Grant TL1 RR 025016, and the National Institute on Mental Health grant 5 T32 MH20010 “Mental Health Prevention Research Training Program”.
- Bolland, J. M., Bryant, C. M., Lian, B. E., McCallum, D. M., Vazxonyi, A. T., & Barth, J. M. (2007). Development and risk behavior among African American, Caucasian, and mixed-race adolescents living in high poverty inner-city neighborhoods. American Journal of Community Psychology, 40, 230–249.PubMedCrossRefGoogle Scholar
- Bureau of Justice Statistics. (2006). Criminal victimization in the United States, 2005. Washington, DC: U.S. Department of Justice.Google Scholar
- Everitt, B. S., Landau, S., & Morven, L. (2001). Cluster analysis (4th ed.). New York: Oxford University Press.Google Scholar
- Farrington, D. P. (2007). Origins of violent behavior over the life span. In D. J. Flannery, A. T. Vazsonyi, & I. D. Waldman (Eds.), The Cambridge handbook of violent behavior and aggression. Cambridge: Cambridge University Press.Google Scholar
- Greenwald, R. (2002). Trauma and juvenile delinquency: Theory, research, and interventions. Binghamton, NY: The Haworth Maltreatment and Trauma Press.Google Scholar
- Herrenkohl, T. I., Chung, I. J., & Catalano, R. F. (2004). Review of research on predictors of youth violence and school-based and community-based prevention approaches. In P. Allen-Meares & M. W. Fraser (Eds.), Intervention with children and adolescents: An interdisciplinary perspective (pp. 449–476). Boston: Pearson Education Inc.Google Scholar
- Herting, J. R. (1990). Predicting at-risk youth: Evaluation of a sample selection model. Communicating Nursing Research, 23, 178.Google Scholar
- Lahey, B. B., & Waldman, I. D. (2005). A developmental model of the propensity to offend during childhood and adolescence. In D. P. Farrington (Ed.), Integrated developmental & life-course theories of offending (pp. 15–50). New Brunswick: Transaction Publishers.Google Scholar
- Lanza, S. T., Flaherty, B. P., & Collins, L. M. (2003). Latent class and latent transition analysis. In J. A. Schinka & W. E. Velicer (Eds.), Handbook of psychology: Research methods in psychology (pp. 663–685). New York, NY: Wiley.Google Scholar
- Muthén, B. O. (2007). Equality test of means across latent classes using Wald Chi-square based on draws from posterior probabilities. Mplus Technical Appendices. Los Angeles, CA: Muthén & Muthén.Google Scholar
- Nurius, P. S., Hooven, C., Russell, P. L., Walsh, E., Herting, J., & Thompson, E. (2010, January). Violence, nonviolent adversity, and mental health: Cumulative stress effects in the transition to young adulthood. Society for Social Work Research, San Francisco, CA.Google Scholar
- O’Connell, M. E., Boat, T., & Warner, K. E. (Eds.). (2009). Preventing mental, emotional, and behavioral disorders among young people. Washington, DC: The National Academies Press.Google Scholar
- Patterson, J. M., & McCubbin, H. I. (1987). A-COPE—Adolescent coping orientation for problem experiences. In H. I. McCubbin & A. L. Patterson (Eds.), Family assessment inventories for research and practice (pp. 225–243). Madison, WI: University of Wisconsin.Google Scholar
- Pittman, A., & Wolfe, D. A. (2002). Bridging the gap: Prevention of adolescent risk behaviors and development of healthy nonviolent dating relationships. In C. Wekerle & A. Pittman (Eds.), The violence and addiction equation: Theoretical and clinical issues in substance abuse and relationship violence (pp. 304–323). New York, NY: Brunner-Routledge.Google Scholar
- Sugai, G., & Horner, R. H. (2006). A promising approach for expanding and sustaining the school-wide positive behavior support. School Psychology Review, 35(2), 245–259.Google Scholar
- Thompson, E. A., & Leckie, M. S. (1989). Interpretation manual for Symptoms of Stress Inventory: A self assessment. Unpublished. Psychosocial Nursing Department. University of Washington, Seattle, WA.Google Scholar
- Vermunt, J. K. (2004). Latent profile model. In M. S. Lewis-Beck, A. Bryman, & T. F. Liao (Eds.), The sage encyclopedia of social sciences research methods (pp. 554–555). Thousand Oakes, CA: Sage Publications. Available at: http://spitswww.uvt.nl/~vermunt/ermss2004f.pdf.
- Walsh, E., Randell, B. P., & Eggert, L. L. (1997). The measure of adolescent potential for suicide (MAPS): A tool for assessment and crisis intervention. Reaching Today’s Youth, 2(1), 22–29.Google Scholar