Abstract
The current study sought to estimate trajectories of violent behavior and evaluate the direct and indirect effects of contextual factors among Hispanics, stratified by gender. Relying on data from 3,719 Hispanic adolescents surveyed as a part of the National Longitudinal Study of Adolescent Health (Add Health), violence trajectories were estimated using group-based trajectory modeling. The results identified three groups of violence trajectories for both males and females (non-violent, desistors, and escalators) and there were considerable gender differences in the direct and indirect effects of risk and protective factors on violent behavior. Study limitations and policy implications are also discussed.
Similar content being viewed by others
References
Agnew, R. (2001). Building on the foundation of general strain theory: Specifying the types of strain most likely to lead to crime and delinquency. Journal of Research in Crime and Delinquency, 38, 319–361.
Agnew, R. (2006). Pressured into crime: An overview of general strain theory. Los Angeles: Roxbury.
Akers, T., & Lanier, M. M. (2009). Epidemiological criminology: Coming full circle. American Journal of Public Health, 99, 397–402.
Boles, S. M., & Miotto, K. (2003). Substance use and violence: A review of the literature. Aggression and Violence Behavior, 8, 155–174.
Broidy, L. M., Tremblay, R. E., Brame, B., Fergusson, D., Horwood, J., et al. (2003). Developmental trajectories of childhood disruptive behaviors and adolescent delinquency: A six-site, cross-national study. Developmental Psychology, 39, 222–245.
Centers for Disease Control and Prevention. (2010). Youth risk behavioral surveillance—United States, 2009. MMWR, 59.
Chantala, K., & Tabor, J. (1999). Strategies to perform a design-based analysis using the add health data. National Longitudinal Study of Adolescent Health.
Chun, K. M., Balls Organita, P., & Gerardo, M. (Eds.). (2003). Acculturation: Advances in theory, measurement, and applied research. Washington: American Psychological Association.
Daigle, L. E., Cullen, F. T., & Wright, J. P. (2007). Gender differences in the predictors of juvenile delinquency: Assessing the generality-specificity debate. Youth Violence and Juvenile Justice, 5, 254–285.
Dembo, R., Williams, L., Getreu, A., Genung, L., Schmeidler, J., Berry, E., et al. (1991). A longitudinal study of the relationships among marijuana/hashish use, cocaine use, and delinquency in a cohort of high risk youths. Journal of Drug Issues, 21, 271–312.
Dhungana, K. J. (2009). Risk factors of gang membership: A study of community, school, family, peer and individual level predictors among three south Florida counties. Florida State University: Unpublished doctoral dissertation.
D’Unger, A. V., Land, K. L., & McCall, P. L. (2002). Sex differences in age patterns of delinquent/criminal careers: Results from Poisson latent class analyses of the Philadelphia cohort study. Journal of Quantitative Criminology, 18, 349–375.
Elbogen, E. B., & Johnson, S. C. (2009). The intricate link between violence and mental disorder: Results from the national epidemiologic survey of alcohol and related conditions. Archives of General Psychicatry, 66, 152–161.
Esbensen, F., Peterson, D., Taylor, T. J., & Freng, A. (2010). Youth violence: Sex and race differences in offending, victimization, and gang membership. Philadelphia: Temple.
Farrington, D. P. (1986). Age and crime. Crime & Justice, 7, 189–250.
Hedeker, D. (2003). A mixed-effects multinomial logistic regression model. Statistics in Medicine, 22, 1433–1446.
Herrenkohl, T. I., McMorris, B. J., Catalano, R. F., Abbott, R. D., Hemphill, S. A., & Toumbourou, J. W. (2007). Risk factors for violence and relational aggression in adolescence. Journal of Interpersonal Violence, 22, 386–405.
Jennings, W. G., Maldonado-Molina, M. M., Piquero, A., & Canino, G. (2009). Parental suicidality as a risk factor for delinquency among hispanic youth. Journal of Youth and Adolescence.
Jennings, W. G., Maldonado-Molina, M. M., Piquero, A. R., Odgers, C. L., Bird, H., & Canino, G. (2010). Sex differences in trajectories of offending among Puerto Rican youth. Crime & Delinquency, 56, 327–357.
Jennings, W. G., Piquero, N. L., Gover, A. R., & Pérez, D. (2009). Gender and general strain theory: A replication and exploration of broidy and Agnew’s gender/strain hypothesis among a sample of southwestern Mexican American adolescents. Journal of Criminal Justice, 37, 404–417.
Jones, B. L., Nagin, D. S., & Roeder, K. (2001). A SAS procedure based on mixed models for estimating developmental trajectories. Sociological Methods and Research, 29, 374–393.
Kuntsche, E., Gossrau-Breen, D., & Gmel, G. (2009). The role of older siblings and drunken peers in the alcohol-violence nexus. European Journal of Public Health, 1–6.
Latzman, R. D., & Swisher, R. R. (2005). The interactive relationship among adolescent violence, street violence, and depression. Journal of Community Psychology, 33, 355–371.
Leech, S. L., Day, N. L., Richardson, G. A., & Goldschmidt, L. (2003). Predictors of self-reported delinquent behavior in a sample of young adolescents. The Journal of Early Adolescence, 23, 78–106.
Loukas, A., Prelow, H. M., Suizzo, M., & Allua, S. (2008). Mothering and peer associations mediate cumulative risk effects for Latino youth. Journal of Marriage and Family, 70, 76–85.
McCord, J., Widom, C. S., & Crowell, N. A. (Eds.). (2001). Juvenile crime, juvenile justice. Panel on juvenile crime: Prevention, treatment, and control. Washington: National Academy Press.
MacKinnon, D. P. (2008). Introduction to statistical mediation analysis. New York: Taylor.
Maldonado-Molina, M. M., Reingle, J. M., & Jennings, W. G. (2011). Does alcohol use predict violent behaviors? The relationship between alcohol use and violence in a nationally representative longitudinal sample. Youth Violence and Juvenile Justice, 9, 99–111.
Maldonado-Molina, M., Piquero, A. R., Jennings, W. G., Bird, H., & Canino, G. (2009). Trajectories of delinquency among Puerto Rican children and adolescents at two sites. Journal of Research in Crime and Delinquency, 46, 144–181.
Maldonado-Molina, M., Reingle, J. M., Jennings, W. G., & Prado, G. (2011). Drinking and driving among immigrant and US-born Hispanic young adults: Results from a longitudinal and nationally representative study. Addictive Behaviors, 36, 381–388.
Maldonado-Molina, M., Reingle, J. M., Tobler, A. L., Jennings, W. G., & Komro, K. A. (2010). Trajectories of physical aggression among Hispanic urban adolescents and young adults: An application of latent trajectory modeling from ages 12 to 18. American Journal of Criminal Justice, 39, 1012.
McNulty, T. L., & Bellair, P. E. (2003). Explaining racial and ethnic differences in serious adolescent violent behavior. Criminology, 41, 709–747.
Moffitt, T. E. (2006). Life-course persistent versus adolescent-limited antisocial behavior. In D. Cicchetti & D. Cohen (Eds.), Developmental psychopathology (2nd ed., pp. 570–598). New York: Wiley.
Moffitt, T. E., Caspi, A., Rutter, M., & Silva, P. A. (2001). Sex differences in antisocial behavior: Conduct disorder, delinquency, and violence in the Dunedin longitudinal study. Cambridge: Cambridge.
Nagin, D. S. (2005). Group-based modeling of development. Cambridge: Harvard.
Nagin, D. S., & Land, K. C. (1993). Age, criminal careers, and population heterogeneity: Specification and estimation of a non-parametric, mixed Poisson model. Criminology, 31, 327–362.
Ou, S., & Reynolds, A. J. (2010). Childhood predictors of young adult male crime. Child and youth services review, 32, 1097–1107.
Park, S., Morash, M., & Stevens, T. (2010). Gender differences in predictors of assaultive behavior in late adolescence. Youth Violence and Juvenile Justice, 8, 314–331.
Pih, K. K., De la Rosa, M., Rugh, D., & Mao, K. (2008). Different strokes for different gangs? An analysis of capital among Latino and Asian gang members. Sociological Perspectives, 51(3), 473–494.
Piquero, A. R. (2008). Taking stock of developmental trajectories of criminal activity over the life course. In A. M. Lieberman (Ed.), The long view of crime: A synthesis of longitudinal research (pp. 23–78). Washington: Springer.
Reingle, J., Jennings, W. G., & Maldonado-Molina, M. (2011). Generational differences in serious physical violence among Hispanic adolescents: Results from a Nationally Representative, Longitudinal Study. Race & Justice.
Resnick, M. D., Ireland, M., & Borowsky, I. (2004). Youth violence perpetration: What protects? What predicts? Findings from the national longitudinal study of adolescent health. Journal of Adolescent Health, 35, e1–e10.
Senn, T. E., Carey, M. P., & Vanable, P. A. (2010). The intersection of violence, substance use, depression, and STDs: Testing of a syndemic patterns among patients attending an urban STD clinic. Journal of the National Medical Association, 102, 614–620.
Shaw, C., & McKay, H. D. (1942). Juvenile delinquency in urban areas. Chicago: University of Chicago.
Tolan, P. H., Gorman-Smith, D., & Henry, D. B. (2003). The developmental ecology of urban males' youth violence. Developmental Psychology, 39(2), 274–291.
Thurnherr, J., Berchtold, A., Michaud, P., Akre, C., & Suris, J. (2008). Violent adolescents and their educational environment: A multilevel analysis. Journal of Developmental and Behavioral Pediatrics, 29, 351–359.
Walker-Barnes, C. J., & Mason, C. A. (2001). Ethnic differences in the effect of parenting on gang involvement and gang delinquency: A longitudinal, hierarchical linear modeling perspective. Child Development, 72(6), 1814–1831.
Zara, G., & Farrington, D. P. (2009). Childhood and adolescent predictors of late onset criminal careers. Journal of Youth and Adolescence, 38, 287–300.
Acknowledgements
This study was supported by Award Numbers K01 AA017480 (PI: Mildred Maldonado-Molina) from the National Institute on Alcohol Abuse and Alcoholism. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institute on alcohol Abuse and Alcoholism of the National Institute of Health.
This research uses data from Add Health, a program project directed by Kathleen Mullan Harris and designed by J. Richard Udry, Peter S. Bearman, and Kathleen Mullan Harris at the University of North Carolina at Chapel Hill, and funded by grant P01-HD31921 from the Eunice Kennedy Shriver National Institute of Child Health and Human Development, with cooperative funding from 23 other federal agencies and foundations. Special acknowledgment is due Ronald R. Rindfuss and Barbara Entwisle for assistance in the original design. Information on how to obtain the Add Health data files is available on the Add Health website (http://www.cpc.unc.edu/addhealth). No direct support was received from grant P01-HD31921 for this analysis.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Reingle, J.M., Jennings, W.G. & Maldonado-Molina, M.M. The Mediated Effect of Contextual Risk Factors on Trajectories of Violence: Results from a Nationally Representative, Longitudinal Sample of Hispanic Adolescents. Am J Crim Just 36, 327–343 (2011). https://doi.org/10.1007/s12103-011-9138-y
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12103-011-9138-y