Further Evaluation of Factors Associated with Restrictive Housing Among Detained Youth
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Although there are concerns regarding the use of restrictive housing with detained youth, little research has examined factors that contribute to youth risk for restrictive housing.
The current study examined whether perceived containment and contextual factors (i.e., peer delinquency, neighborhood problems, stressful life events, and parental psychological control) were predictive of levels of restrictive housing (i.e., Tier 2 and Tier 3) in a sample of detained youth.
Youth self-reports of constructs were examined as predictors of levels of restrictive housing.
Analyses indicated that while peer delinquency was only associated with Tier 2 intervention (i.e., day room restriction), perceived containment and neighborhood problems were only associated with Tier 3 intervention (i.e., lockdowns and restraints). Neither stressful life events nor parental psychological control were associated with any restrictive housing outcome. Finally, the number of days in detention were robustly positively associated with all restrictive housing outcomes examined.
Findings suggest that factors beyond the facility (e.g., neighborhood environment, peer groups) may have a meaningful impact on behavior while detained.
KeywordsRestrictive housing Perceived containment Neighborhood problems Peer delinquency
Compliance with Ethical Standards
Conflict of interest
The authors declare that they have no conflict of interest.
- Agnew, R. (1992). Foundation for a general strain theory of crime and delinquency. Criminology, 30, 47–87.Google Scholar
- Albrecht, A. K., Galambos, N. L., & Jansson, S. M. (2007). Adolescents’ internalizing and aggressive behaviors and perceptions of parents’ psychological control: A panel study examining direction of effects. Journal of Youth and Adolescence, 36, 673–684.Google Scholar
- Aseltine, R. H., Gore, S., & Gordon, J. (2000). Life stress, anger, anxiety, and delinquency: An empirical test of general strain theory. Journal of Health and Social Behavior, 41, 265–275.Google Scholar
- Bandura, A. (1973). Aggression: A social learning analysis. Englewood Cliffs, NJ: Prentice Hall.Google Scholar
- Bronfenbrenner, U. (1979). The ecology of human development. Cambridge, MA: Harvard University Press.Google Scholar
- Carr, E. G., Dunlap, G., Horner, R. H., Koegel, R. L., Turnbull, A. P., Sailor, W., et al. (2002). Positive behavior support: Evolution of an applied science. Journal of Positive Behavior Interventions, 4(1), 4–16.Google Scholar
- Cavell, T. A. (2000). Working with parents of aggressive children: A practitioner’s guide. Thousand Oaks: Sage.Google Scholar
- Dodge, K. A., Dishion, T. J., & Lansford, J. E. (Eds.). (2007). Deviant peer influences in programs for youth: Problems and solutions. New York: Guilford Press.Google Scholar
- Doll, C., McLaughlin, T. F., & Barretto, A. (2013). The token economy: A recent review and evaluation. International Journal of Basic and Applied Science, 2(1), 131–149.Google Scholar
- Dumas, J., LaFreniere, P. J., & Serketich, W. J. (1995). “Balance of power”: A transactional analysis of control in mother-child dyads involving socially competent, aggressive, and anxious children. Journal of Abnormal Psychology, 104, 104–113. https://doi.org/10.1037/0021-843x.104.1.104.CrossRefPubMedGoogle Scholar
- Eitle, D., Gunkel, S., & Van Gundy, K. (2004). Cumulative exposure to stressful life events and male gang membership. Journal of Criminal Justice, 32(2), 95–111.Google Scholar
- Eitle, D., & Turner, R. J. (2002). Exposure to community violence and young adult crime: The effects of witnessing violence, traumatic victimization, and other stressful life events. Journal of Research in Crime and Delinquency, 39(2), 214–237.Google Scholar
- Elliott, D. S., Wilson, W. J., Huizinga, D., Sampson, R. J., Elliott, A., & Rankin, B. (1996). The effects of neighborhood disadvantage on adolescent development. Journal of Research in Crime and Delinquency, 33(4), 389–426.Google Scholar
- Fernandez, M., McClain, D., Brown-Williams, B., & Ellison, P. (2015). PBIS in Georgia Department of Juvenile Justice: Data dashboard and radar reports utilized for team data-based decision-making with facility team leader perspectives. Residential Treatment for Children and Youth, 32, 334–343.Google Scholar
- Fite, P. J., Pederson, C. A., & DiPierro, M. (2018). Individual risk factors associated with increased levels of restricted housing among detained youth. Residential Treatment for Children and Youth, 35, 139–154.Google Scholar
- Fite, P. J., Poquiz, J., Cooley, J., Stoppelbein, L., Becker, S. P., Luebbe, A., et al. (2016). Risk factors associated with proactive and reactive aggression in a child psychiatric inpatient sample. Journal of Psychopath and Behavioral Assessment, 38, 56–65.Google Scholar
- Fite, P. J., Preddy, T., Vitulano, M., Elkins, S., Grassetti, S., & Wimsatt, A. (2012). Perceived best friend delinquency moderates the link between contextual risk factors and juvenile delinquency. Journal of Community Psychology, 40(6), 747–761.Google Scholar
- Gagnon, J. C., Gurel, S., & Barber, B. R. (2017). State-level analysis of school punitive discipline practices in Florida. Behavioral Disorders, 42(2), 65–80.Google Scholar
- Gendreau, P., Listwan, S. J., Kuhns, J. B., & Exum, M. L. (2014). Making prisoners accountable: Are contingency management programs the answer? Criminal Justice and Behavior, 41, 1079–1102.Google Scholar
- Grasso, D. J., Dierkhising, C. B., Branson, C. E., Ford, J. D., & Lee, R. (2015). Developmental patterns of adverse childhood experiences and current symptoms and impairment in youth referred for trauma-specific services. Journal of Abnormal Child Psychology. https://doi.org/10.1007/s10802-015-0086-8.CrossRefGoogle Scholar
- Harvard Law Review. (2017). Mending the federal sentencing guidelines approach to consideration of juvenile status. Harvard Law Review, 130, 994–1015.Google Scholar
- Hoffmann, J. P., & Su, S. S. (1997). The conditional effects of stress on delinquency and substance use: A strain theory assessment of sex differences. Journal of Research in Crime and Delinquency, 34, 46–78.Google Scholar
- Ingoldsby, E. M., Shaw, D. S., Winslow, E., Schonberg, M., Gilliom, M., & Criss, M. M. (2006). Neighborhood disadvantage, parent–child conflict, neighborhood peer relationships, and early antisocial behavior problem trajectories. Journal of Abnormal Child Psychology, 34, 293–309. https://doi.org/10.1007/s10802-006-9026-y.CrossRefGoogle Scholar
- Kazdin, A. E., & Bootzin, R. R. (1972). The token economy: An evaluative review. Journal of Applied Behavioral Analysis, 5, 343–372.Google Scholar
- Kornienko, O., Dishion, T. J., & Ha, T. (2018). Peer network dynamics and the amplification of antisocial to violent behavior among young adolescents in public middle schools. Journal of Emotional and Behavioral Disorders, 26(1), 21–30.Google Scholar
- Kunz, J. H., & Grych, J. H. (2013). Parental psychological control and autonomy granting: Distinctions and associations with child and family functioning. Parenting: Science and Practice, 13, 77–94.Google Scholar
- Loukas, A., Paulos, S. K., & Robinson, S. (2005). Early adolescent social and overt aggression: Examining the roles of social anxiety and maternal psychological control. Journal of Youth and Adolescence, 34, 335–345.Google Scholar
- MacDonald, J. M., & Chesney-Lind, M. (2001). Gender bias and juvenile justice revisited: A multiyear analysis. Crime & Delinquency, 47(2), 173–195.Google Scholar
- Neff, K. D., & Terry-Schmitt, L. N. (2002). Youths’ attributions for power-related gender differences: Nature, nurture, or God? Cognitive Development, 17(2), 1185–1202.Google Scholar
- Nelson, J. R., Hurley, K. D., Synhorst, L., Epstein, M. H., Stage, S., & Buckley, J. (2009). The child outcomes of a behavior model. Exceptional Children, 76, 7–30.Google Scholar
- Piquero, N. L., & Sealock, M. D. (2000). Generalizing general strain theory: An examination of an offending population. Justice Quarterly, 17, 449–484.Google Scholar
- Ross, C. E., & Mirowsky, J. (1999). Disorder and decay: The concept and measurement of perceived neighborhood disorder. Urban Affairs Review, 34(3), 412–432.Google Scholar
- Sijtsema, J. J., & Lindenberg, S. M. (2018). Peer influence in the development of adolescent antisocial behavior: Advances from dynamic social network studies. Developmental Review, 50, 140–154.Google Scholar
- Smith, P. (2006). The effects of solitary confinement on prison inmates: A brief history and review of the literature. Crime and Justice, 34(1), 441–528.Google Scholar
- Swearingen, E. M., & Cohen, L. H. (1985). Measurement of adolescents’ life events: The Junior High Life Experiences Survey. American Journal Community Psychology, 13, 69–85.Google Scholar
- U. S. Department of Justice. (2016). Report and recommendations concerning the use of restrictive housing: Final report.Google Scholar
- Vitaro, F., & Brendgen, M. (2012). Subtypes of aggressive behaviors: Etiologies, development, and consequences. In T. Bliesener, A. Beelmann, & M. Stemmler (Eds.), Antisocial behavior and crime: Contributions of developmental and evaluation research to prevention and intervention (pp. 17–38). Cambridge, MA: Hogrefe Publishing.Google Scholar