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Recidivism Among Justice-Involved Youth: Findings From JJ-TRIALS
Open accessAbstract
Recidivism, and the factors related to it, remains a highly significant concern among juvenile justice researchers, practitioners, and policy makers. Recent studies highlight the need to examine multiple measures of recidivism as well as conduct multilevel analyses of this phenomenon. Using data collected in a National Institute on Drug Abuse (NIDA)-funded Juvenile Justice-Translational Research on Interventions for Adolescents in the Legal System (JJ-TRIALS) cooperative agreement, we examined individual- and site-level factors related to 1-year recidivism among probation youth in 20 sites in five states to answer research questions related to how recidivism rates differ across sites and the relationships between individual-level variables and a county-level concentrated disadvantage measure and recidivism. Our findings of large site differences in recidivism rates, and complex relationships between individual and county-level predictors of recidivism, highlight the need for more nuanced, contextually informed, multilevel approaches in studying recidivism among juveniles.
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Personal challenges from imprisonment, such as psychological distress, limited education and job skills, and drug use, make it harder to achieve positive academic and mental health outcomes post-release.
“Additionally, personal challenges from imprisonment, like psychological distress, limited education and job skills, and drug use, make it even harder to achieve positive academic and mental health outcomes post-release (Meza et al., 2023;Robertson et al., 2020).”
From School Reentry: Exploring Healing-Centered Mechanisms for Formerly Incarcerated Transition-Age Black Males in an Urban Intensive, Asset-Based Alternative School (2026) · cites this paper as Robertson et al., 2020
The Abstract links juvenile offending with substance use and dropping out of school, while the Results and Discussion passages address predictors of recidivism. Searches for psychological distress, limited education or job skills, and post-release academic and mental health outcomes found no passage saying that imprisonment-related challenges impede those outcomes. (LLM, conf=0.73)
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- Aalsma M. C., White L. M., Lau K. S., Perkins A., Monahan P., Grisso T. (2015). Behavioral health care needs, detention-based care, and criminal recidivism at community reentry from juvenile detention: A multisite survival curve analysis. American Journal of Public Health, 105(7), 1372–1378. https://doi.org/10.2105/ajph.2014.302529 · DOI
- Attar B. K., Guerra N. G., Tolan P. H. (1994). Neighborhood disadvantage, stressful life events, and adjustment in urban elementary-school children. Journal of Clinical Child Psychology, 23(4), 391–400. https://doi.org/10.1207/s15374424jccp2304_5 · DOI
- Browne W. J., 2009, A guide to sample size calculations for random effect models via simulation and the mlpowsim software package
- Chauhan P., Reppucci N. D. (2009). The impact of neighborhood disadvantage and exposure to violence on self-report of antisocial behavior among girls in the juvenile justice system. Journal of Youth and Adolescence, 38(3), 401–416. https://doi.org/10.1007/s10964-008-9326-3 · DOI
- Cohen J. (1992). A power primer. Psychological Bulletin, 112(1), 155–159. https://doi.org/10.1037/0033-2909.112.1.155 · DOI · Paper page
- Cottle C. C., Lee R. J., Heilbrun K. (2001). The prediction of criminal recidivism in juveniles: A meta-analysis. Criminal Justice and Behavior, 28(3), 367–394. https://doi.org/10.1177/0093854801028003005 · DOI
- Craig J. M., Baglivio M. T., Wolff K. T., Piquero A. R., Epps N. (2017). Do social bonds buffer the impact of adverse childhood experiences on reoffending? Youth Violence and Juvenile Justice, 15(1), 3–20. https://doi.org/10.1177/1541204016630033 · DOI
- Dennis M. L., 2019, Federal Probation, 83, 52
- Donnelly E. A. (2017). The disproportionate minority contact mandate: An examination of its impacts on juvenile justice processing outcomes (1997-2011). Criminal Justice Policy Review, 28(4), 347–369. https://doi.org/10.1177/0887403415585139 · DOI
- Field A., 2013, Discovering statistics using IBM SPSS statistics
- Finch W. H., 2014, Multilevel modeling using R
- Grunwald H. E., Lockwood B., Harris P. W., Mennis J. (2010). Influences of neighborhood context, individual history and parenting behavior on recidivism among juvenile offenders. Journal of Youth and Adolescence, 39(9), 1067–1079. https://doi.org/10.1007/s10964-010-9518-5 · DOI
- Harris P., 2011, Journal of Juvenile Justice, 1, 1
- Harris P., 2011, Cityscape, 13, 33
- Hoeve M., McReynolds L. S., Wasserman G. A., McMillan C. (2013). The influence of mental health disorders on severity of reoffending in juveniles. Criminal Justice and Behavior, 40(3), 289–301. https://doi.org/10.1177/0093854812459639 · DOI
- 10.4324/9781315650982 · DOI
- Hyatt J. M., Barnes G. C. (2017). An experimental evaluation of the impact of intensive supervision on the recidivism of high-risk probationers. Crime & Delinquency, 63(1), 3–38. https://doi.org/10.1177/0011128714555757 · DOI
- Kakade M., Duarte C. S., Liu X., Fuller C. J., Drucker E., Hoven C. W. . . Wu P. (2012). Adolescent substance use and other illegal behaviors and racial disparities in criminal justice system involvement: Findings from a US national survey. American Journal of Public Health, 102(7), 1307–1310. https://doi.org/10.2105/AJPH.2012.300699 · DOI
- Kalist D. E., Lee D. Y., Spurr S. J. (2015). Predicting recidivism of juvenile offenders. The B.E. Journal of Economic Analysis & Policy, 15(1), 329–351. https://doi.org/10.1515/bejeap-2013-0188 · DOI
- Kirk D. S., Sampson R. J. (2013). Juvenile arrest and collateral educational damage in the transition to adulthood. Sociology of Education, 86(1), 36–62. https://doi.org/10.1177/0038040712448862 · DOI
- Knight D. K., Belenko S., Wiley T., Robertson A. A., Arrigona N., Dennis M. . . Leukefeld C. (2016). Juvenile justice—Translational research on interventions for adolescents in the legal system (JJ-TRIALS): A cluster randomized trial targeting system-wide improvement in substance use services. Implementation Science, 11(1), 1–18. https://doi.org/10.1186/s13012-016-0423-5 · DOI
- Kubrin C. E., Stewart E. A. (2006). Predicting who reoffends: The neglected role of neighborhood context in recidivism studies. Criminology, 44(1), 165–197. https://doi.org/10.1111/j.1745-9125.2006.00046.x · DOI
- LeBaron J., 2002, Examining the relative influence of community context on juvenile offender post-confinement recidivism
- Leukefeld C. G., 2017, Journal of Juvenile Justice, 6, 112
- Leverso J., Bielby W., Hoelter L. F. (2015). Back on the streets: Maturation and risk factors for recidivism among serious juvenile offenders. Journal of Adolescence, 41, 67–75. https://doi.org/10.1016/j.adolescence.2015.02.008 · DOI
- Lowenkamp C. T., Makarios M. D., Latessa E. J., Lemke R., Smith P. (2010). Community corrections facilities for juvenile offenders in Ohio: An examination of treatment integrity and recidivism. Criminal Justice and Behavior, 37(6), 695–708. https://doi.org/10.1177/0093854810363721 · DOI
- Luong D., Wormith J. S. (2011). Applying risk/need assessment to probation practice and its impact on the recidivism of young offenders. Criminal Justice and Behavior, 38(12), 1177–1199. https://doi.org/10.1177/0093854811421596 · DOI
- McGraw K. O., Wong S. P. (1996). Forming inferences about some intraclass correlation coefficients. Psychological Methods, 1(1), 30–46. https://doi.org/10.1037/1082-989X.1.1.30 · DOI · Paper page
- McReynolds L. S., Schwalbe C. S., Wasserman G. A. (2010). The contribution of psychiatric disorder to juvenile recidivism. Criminal Justice and Behavior, 37(2), 204–216. https://doi.org/10.1177/0093854809354961 · DOI
- Mears D. P., Wang X., Hay C., Bales W. D. (2008). Social ecology and recidivism: Implications for prisoner reentry. Criminology, 46(2), 301–340. https://doi.org/10.1111/j.1745-9125.2008.00111.x · DOI
- Mulder E., Brand E., Bullens R., Van Marle H. (2011). Risk factors for overall recidivism and severity of recidivism in serious juvenile offenders. International Journal of Offender Therapy and Comparative Criminology, 55(1), 118–135. https://doi.org/10.1177/0306624X09356683 · DOI
- Osgood D. W., Chambers J. M. (2000). Social disorganization outside the metropolis: An analysis of rural youth violence. Criminology, 38(1), 81–116. https://doi.org/10.1111/j.1745-9125.2000.tb00884.x · DOI
- Petersilia J., Turner S. (1993). Intensive probation and parole. Crime and Justice, 17, 281–335. https://doi.org/10.1086/449215 · DOI
- 10.7208/chicago/9780226733883.001.0001 · DOI · Paper page
- Sampson R. J., Groves W. B. (1989). Community structure and crime: Testing social-disorganization theory. American Journal of Sociology, 4, 774–802. https://doi.org/10.1086/229068 · DOI · Paper page
- Sampson R. J., Raudenbush S. W., Earls F. (1997). Neighborhoods and violent crime: A multilevel study of collective efficacy. Science, 277(5328), 918–924. https://doi.org/10.1126/science.277.5328.918 · DOI · Paper page
- Schubert C. A., Mulvey E. P., Glasheen C. (2011). Influence of mental health and substance use problems and criminogenic risk on outcomes in serious juvenile offenders. Journal of the American Academy of Child & Adolescent Psychiatry, 50(9), 925–937. https://doi.org/10.1016/j.jaac.2011.06.006 · DOI
- Schweitzer M., Labrecque R. M., Smith P. (2017). Reinvesting in the lives of youth: A targeted approach to reducing recidivism. Criminal Justice Policy Review, 28(3), 207–219. https://doi.org/10.1177/0887403415579262 · DOI
- Scott C. K., Dennis M. L., Grella C. E., Funk R. R., Lurigio A. J. (2019). Juvenile justice systems of care: Results of a national survey of community supervision agencies and behavioral health providers on services provision and cross-system interactions. Health & Justice, 7(1), 1–18. https://doi.org/10.1186/s40352-019-0093-x · DOI
- Snijders T. A., 1999, Multilevel analysis: An introduction to basic and advanced multilevel modeling
- Snyder H. N., 2006, Juvenile offenders and victims: 2006 national report
- Stouthamer-Loeber M., 2010, Persistence and desistance in offending
- Sullivan C. J., Latessa E. (2011). The coproduction of outcomes: An integrated assessment of youth and program effects on recidivism. Youth Violence and Juvenile Justice, 9(3), 191–206. https://doi.org/10.1177/1541204010393754 · DOI
- Tillyer M. S., Vose B. (2011). Social ecology, individual risk, and recidivism: A multilevel examination of main and moderating influences. Journal of Criminal Justice, 39(5), 452–459. https://doi.org/10.1016/j.jcrimjus.2011.08.003 · DOI
- Van der Put C. E., Creemers H. E., Hoeve M. (2014). Differences between juvenile offenders with and without substance use problems in the prevalence and impact of risk and protective factors for criminal recidivism. Drug and Alcohol Dependence, 134, 267–274. https://doi.org/10.1016/j.drugalcdep.2013.10.012 · DOI
- Virginia Department of Juvenile Justice, 2018, Data resource guide: Fiscal year 2018
- Welsh B. C., Loeber R., Stevens B. R., Stouthamer-Loeber M., Cohen M. A., Farrington D. P. (2008). Costs of juvenile crime in urban areas: A longitudinal perspective. Youth Violence and Juvenile Justice, 6(1), 3–27. https://doi.org/10.1177/1541204007308427 · DOI
- Welty L. J., Hershfield J. A., Abram K. M., Han H., Byck G. R., Teplin L. A. (2017). Trajectories of substance use disorder in youth after detention: A 12-year longitudinal study. Journal of the American Academy of Child & Adolescent Psychiatry, 56(2), 140–148. https://doi.org/10.1016/j.jaac.2016.10.018 · DOI
- Wolff K. T., Baglivio M. T., Intravia J., Greenwald M. A., Epps N. (2017). The mobility of youth in the justice system: Implications for recidivism. Journal of Youth and Adolescence, 46(7), 1371–1393. https://doi.org/10.1007/s10964-016-0498-y · DOI
- Wolff K. T., Baglivio M. T., Intravia J., Piquero A. R. (2015). The protective impact of immigrant concentration on juvenile recidivism: A statewide analysis of youth offenders. Journal of Criminal Justice, 43(6), 522–531. https://doi.org/10.1016/j.jcrimjus.2015.05.004 · DOI
- Wolff K. T., Baglivio M. T., Piquero A. R. (2017). The relationship between adverse childhood experiences and recidivism in a sample of juvenile offenders in community-based treatment. International Journal of Offender Therapy and Comparative Criminology, 61(11), 1210–1242. https://doi.org/10.1177/0306624X15613992 · DOI
- Wolff K. T., Baglivio M. T., Piquero A. R., Vaughn M. G., DeLisi M. (2016). The triple crown of antisocial behavior: Effortful control, negative emotionality, and community disadvantage. Youth Violence and Juvenile Justice, 14(4), 350–366. https://doi.org/10.1177/1541204015599042 · DOI
- Wolff K. T., Intravia J., Baglivio M. T., Piquero A. R. (2018). The protective impact of immigrant concentration on juvenile recidivism: A multilevel examination of potential mechanisms. Crime & Delinquency, 64(10), 1271–1305. https://doi.org/10.1177/0011128717739608 · DOI
- 10.20982/tqmp.08.1.p052 · DOI
- Yan J. (2009). A multidisciplinary study on juvenile recidivism and multilevel impacts: Risk factors, neighborhood features, and juvenile justice intervention [Unpublished thesis]. https://doi.org/10.32469/10355/6128 · DOI
Cited by
Sorted by citations
Lea, C. H., Sardesai, T., Edwards, K. T., Andrade, G. M., & Kim, B.-K. E. (2026) · Education Sciences · doi:10.3390/educsci16040653
Metadata
- Authors
- Robertson, A. A., Fang, Z., Weiland, D., Joe, G., Gardner, S., Dembo, R., Mcreynolds, L., Dickson, M., Pankow, J., Dennis, M., & Elkington, K.
- Affiliations
- Mississippi State University (US)
- Temple University (US)
- Texas Christian University (US)
- University of South Florida (US)
- Columbia University (US)
- University of Kentucky (US)
- Chestnut Health Systems (US)
- Corresponding author
- Robertson, Angela A.
- ORCID
- Venue
- Criminal Justice and Behavior
- Publisher
- SAGE Publications
- Published
- 2020-05-25
- Volume
- 47
- Issue
- 9
- Pages
- 1059-1078
- ISSN
- 0093-8548 (ISSN-L)
- 1552-3594
- PMC
- PMC9285988
- OpenAlex
- W3031324839
- Cited by
- 31
- References
- 0
- Citations by year
- 2026: 5 · 2025: 10 · 2024: 6 · 2023: 6 · 2022: 3 · 2021: 1
- FWCI
- 3.34
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Criminal Justice and Behavior (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (U01 DA036158, U01 DA036176, U01 DA036221, U01 DA036224, U01 DA036225, U01 DA036226, U01 DA036233)
- Topics
- Social Sciences › Sociology and Political Science › Criminal Justice and Corrections Analysis
- Social Sciences › Sociology and Political Science › Crime Patterns and Interventions
- Social Sciences › Law › Legal and Social Justice Studies
- Keywords
- juvenile recidivism, justice-involved youth, multilevel analysis, juvenile justice intervention
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