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Risk and protective factors and interventions for reducing juvenile delinquency: a systematic review.
1. Introduction
2. materials and methods, 2.1. inclusion criteria, 2.2. exclusion criteria, 2.3. data sources and search strategy, 2.4. risk of bias assessment, 4. discussion, 5. limitations, 6. conclusions, author contributions, informed consent statement, data availability statement, conflicts of interest.
- Aksnes, Dag W., and Gunnar Sivertsen. 2019. A Criteria-based Assessment of the Coverage of Scopus and Web of Science. Journal of Data and Information Science 4: 1–21. [ Google Scholar ] [ CrossRef ]
- Amani, Bita, Norweeta G. Milburn, Susana Lopez, Angela Young-Brinn, Lourdes Castro, Alex Lee, and Eraka Bath. 2018. Families and the juvenile justice system: Considerations for family-based interventions. Family & Community Health 41: 55–63. [ Google Scholar ] [ CrossRef ]
- Anderson, Valerie R., and Brinn M. Walerych. 2019. Contextualizing the nature of trauma in the juvenile justice trajectories of girls. Journal of Prevention & Intervention in the Community 47: 138–53. [ Google Scholar ]
- Anderson, Valerie R., Laura L. Rubino, and Nicole C. McKenna. 2021. Family-based Intervention for Legal System-involved Girls: A Mixed Methods Evaluation. American Journal of Community Psychology 67: 35–49. [ Google Scholar ] [ CrossRef ]
- Arias-Pujol, Eulàlia, and M. Teresa Anguera. 2017. Observation of interactions in adolescent group therapy: A mixed methods study. Frontiers in Psychology 8: 1188. [ Google Scholar ] [ CrossRef ]
- Barnert, Elizabeth S., Rebecca Dudovitz, Bergen B. Nelson, Tumaini R. Coker, Christopher Biely, Ning Li, and Paul J. Chung. 2017. How does incarcerating young people affect their adult health outcomes? Pediatrics 139: e20162624. [ Google Scholar ] [ CrossRef ]
- Barrett, James G., and Elizabeth Janopaul-Naylor. 2016. Description of a collaborative community approach to impacting juvenile arrests. Psychological Services 13: 133–39. [ Google Scholar ] [ CrossRef ]
- Borduin, Charles M., Lauren B. Quetsch, Benjamin D. Johnides, and Alex R. Dopp. 2021. Long-term effects of multisystemic therapy for problem sexual behaviors: A 24.9-year follow-up to a randomized clinical trial. Journal of Consulting and Clinical Psychology 89: 393–405. [ Google Scholar ] [ CrossRef ]
- Bright, Charlotte Lyn, Sarah Hurley, and Richard P. Barth. 2014. Gender differences in outcomes of juvenile court-involved youth following intensive in-home services. Journal of the Society for Social Work and Research 5: 23–44. [ Google Scholar ] [ CrossRef ]
- Buchanan, Molly, Erin D. Castro, Mackenzie Kushner, and Marvin D. Krohn. 2020. It’s F** ing Chaos: COVID-19’s impact on juvenile delinquency and juvenile justice. American Journal of Criminal Justice 45: 578–600. [ Google Scholar ] [ CrossRef ] [ PubMed ]
- Campbell, Mhairi, Joanne E. McKenzie, Amanda Sowden, Srinivasa Vittal Katikireddi, Sue E. Brennan, Simon Ellis, Jamie Hartmann-Boyce, Rebecca Ryan, Sasha Shepperd, and James Thomas. 2020. Synthesis without meta-analysis (SWiM) in systematic reviews: Reporting guideline. BMJ 368: l6890. [ Google Scholar ] [ CrossRef ] [ PubMed ]
- Cavanagh, Caitlin, and Elizabeth Cauffman. 2017. The longitudinal association of relationship quality and reoffending among first-time juvenile offenders and their mothers. Journal of Youth and Adolescence 46: 1533–46. [ Google Scholar ] [ CrossRef ] [ PubMed ]
- Costello, Barbara J., and John H. Laub. 2020. Social Control Theory: The Legacy of Travis Hirschi’s Causes of Delinquency . Annual Review of Criminology 3: 21–41. [ Google Scholar ] [ CrossRef ]
- D.C. Department of Human Services. n.d. Functional Family Therapy (FFT). Available online: https://dhs.dc.gov/page/functional-family-therapy-fft#:~:text=Functional%20Family%20Therapy%20(FFT)%20is,relational%2C%20family-based%20perspective (accessed on 23 June 2023).
- D’Agostino, Emily, Stacy L. Frazier, Eric Hansen, Maria I. Nardi, and Sarah E. Messiah. 2020. Association of a park-based violence prevention and mental health promotion after-school program with youth arrest rates. JAMA Network Open 3: e1919996. [ Google Scholar ] [ CrossRef ]
- Dakof, Gayle A., Craig E. Henderson, Cynthia L. Rowe, Maya Boustani, Paul E. Greenbaum, Wei Wang, Samuel Hawes, Clarisa Linares, and Howard A. Liddle. 2015. A randomized clinical trial of family therapy in juvenile drug court. Journal of Family Psychology 29: 232–41. [ Google Scholar ] [ CrossRef ]
- Dodson, Lisa. 2013. Stereotyping low-wage mothers who have work and family conflicts. Journal of Social Issues 69: 257–78. [ Google Scholar ] [ CrossRef ]
- Ezell, Jerel M., Margaret Richardson, Samira Salari, and James A. Henry. 2018. Implementing trauma-informed practice in juvenile justice systems: What can courts learn from child welfare interventions? Journal of Child & Adolescent Trauma 11: 507–19. [ Google Scholar ]
- Gan, Daniel Z. Q., Yiwei Zhou, Eric Hoo, Dominic Chong, and Chi Meng Chu. 2019. The Implementation of Functional Family Therapy (FFT) as an Intervention for Youth Probationers in Singapore. Journal of Marital and Family Therapy 45: 684–98. [ Google Scholar ] [ CrossRef ]
- Garduno, L. Sergio. 2022. How Influential are Adverse Childhood Experiences (ACEs) on Youths?: Analyzing the Immediate and Lagged Effect of ACEs on Deviant Behaviors. Journal of Child & Adolescent Trauma 15: 683–700. [ Google Scholar ]
- Gearhart, Michael C., and Riley Tucker. 2020. Criminogenic risk, criminogenic need, collective efficacy, and juvenile delinquency. Criminal Justice and Behavior 47: 1116–35. [ Google Scholar ] [ CrossRef ]
- Halgunseth, Linda C., Daniel F. Perkins, Melissa A. Lippold, and Robert L. Nix. 2013. Delinquent-oriented attitudes mediate the relation between parental inconsistent discipline and early adolescent behavior. Journal of Family Psychology 27: 293–302. [ Google Scholar ] [ CrossRef ] [ PubMed ]
- Henggeler, Scott W., Michael R. McCart, Phillippe B. Cunningham, and Jason E. Chapman. 2012. Enhancing the effectiveness of juvenile drug courts by integrating evidence-based practices. Journal of Consulting and Clinical Psychology 80: 264–75. [ Google Scholar ] [ CrossRef ] [ PubMed ]
- Higgins, Julian, James Thomas, Jacqueline Chandler, Miranda Cumpston, Tianjing Li, Matthew Page, and Vivian Welch, eds. 2022. Cochrane Handbook for Systematic Reviews of Interventions . Version 6.4. Chichester: John Wiley & Sons. [ Google Scholar ]
- Hoeve, Machteld, Geert Jan J. M. Stams, Claudia E. Van der Put, Judith Semon Dubas, Peter H. Van der Laan, and Jan R. M. Gerris. 2012. A meta-analysis of attachment to parents and delinquency. Journal of Abnormal Child Psychology 40: 771–85. [ Google Scholar ] [ CrossRef ]
- Hogue, Aaron, Sarah Dauber, Jessica Samuolis, and Howard A. Liddle. 2006. Treatment techniques and outcomes in multidimensional family therapy for adolescent behavior problems. Journal of Family Psychology 20: 535. [ Google Scholar ] [ CrossRef ]
- Karam, Eli A., Emma M. Sterrett, and Lynn Kiaer. 2017. The integration of family and group therapy as an alternative to juvenile incarceration: A quasi-experimental evaluation using Parenting with Love and Limits. Family Process 56: 331–47. [ Google Scholar ] [ CrossRef ]
- Lantos, Hannah, Andra Wilkinson, Hannah Winslow, and Tyler McDaniel. 2019. Describing associations between child maltreatment frequency and the frequency and timing of subsequent delinquent or criminal behaviors across development: Variation by sex, sexual orientation, and race. BMC Public Health 19: 1306. [ Google Scholar ] [ CrossRef ] [ PubMed ]
- Leve, Leslie D., Patricia Chamberlain, and Hyoun K. Kim. 2015. Risks, outcomes, and evidence-based interventions for girls in the US juvenile justice system. Clinical Child and Family Psychology Review 18: 252–79. [ Google Scholar ] [ CrossRef ]
- Lippold, Melissa A., Andrea Hussong, Gregory M. Fosco, and Nilam Ram. 2018. Lability in the parent’s hostility and warmth toward their adolescent: Linkages to youth delinquency and substance use. Developmental Psychology 54: 348–61. [ Google Scholar ] [ CrossRef ]
- Logan-Greene, Patricia, and Annette Semanchin Jones. 2015. Chronic neglect and aggression/delinquency: A longitudinal examination. Child Abuse & Neglect 45: 9–20. [ Google Scholar ]
- Logan-Greene, Patricia, B. K. Elizabeth Kim, and Paula S. Nurius. 2020. Adversity profiles among court-involved youth: Translating system data into trauma-responsive programming. Child Abuse & Neglect 104: 104465. [ Google Scholar ] [ CrossRef ]
- May, Jessica, Kristina Osmond, and Stephen Billick. 2014. Juvenile delinquency treatment and prevention: A literature review. Psychiatric Quarterly 85: 295–301. [ Google Scholar ] [ CrossRef ] [ PubMed ]
- Moher, David, Alessandro Liberati, Jennifer Tetzlaff, Douglas G. Altman, and PRISMA Group. 2009. Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. Annals of Internal Medicine 151: 264–69. [ Google Scholar ] [ CrossRef ] [ PubMed ]
- Mowen, Thomas J., and John H. Boman. 2018. A developmental perspective on reentry: Understanding the causes and consequences of family conflict and peer delinquency during adolescence and emerging adulthood. Journal of Youth and Adolescence 47: 275–89. [ Google Scholar ] [ CrossRef ] [ PubMed ]
- Office of Juvenile Justice and Delinquency Prevention (OJJDP). 2020. OJJDP Statistical Briefing Book. Updated 8 July. Available online: https://www.ojjdp.gov/ojstatbb/crime/qa05101.asp (accessed on 24 May 2023).
- Page, Matthew J., Joanne E. McKenzie, Patrick M. Bossuyt, Isabelle Boutron, Tammy C. Hoffmann, Cynthia D. Mulrow, Larissa Shamseer, Jennifer M. Tetzlaff, Elie A. Akl, and Sue E. Brennan. 2021. The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. International Journal of Surgery 88: 105906. [ Google Scholar ] [ CrossRef ] [ PubMed ]
- Perron, Susannah. 2013. Family Attachment, Family Conflict, and Delinquency in a Sample of Rural Youth. Doctoral dissertation, University of New Hampshire, Durham, NH, USA. [ Google Scholar ]
- Petry, Nancy M., Sheila M. Alessi, Todd A. Olmstead, Carla J. Rash, and Kristyn Zajac. 2017. Contingency management treatment for substance use disorders: How far has it come, and where does it need to go? Psychology of Addictive Behaviors 31: 897. [ Google Scholar ] [ CrossRef ]
- Puzzanchera, Charles. 2022. Trends in Youth Arrests for Violent Crimes. In Juvenile Justice Statistics: National Report Series Fact Sheet . Available online: https://ojjdp.ojp.gov/publications/trends-in-youth-arrests.pdf (accessed on 18 August 2023).
- Robst, John, Mary Armstrong, and Norin Dollard. 2017. The association between type of out-of-home mental health treatment and juvenile justice recidivism for youth with trauma exposure. Criminal Behaviour and Mental Health 27: 501–13. [ Google Scholar ] [ CrossRef ]
- Ruch, Donna A., and Jamie R. Yoder. 2018. The effects of family contact on community reentry plans among incarcerated youths. Victims & Offenders 13: 609–27. [ Google Scholar ]
- Ryan, Joseph P. 2012. Substitute care in child welfare and the risk of arrest: Does the reason for placement matter? Child Maltreatment 17: 164–71. [ Google Scholar ] [ CrossRef ]
- Ryan, Joseph P., Abigail B. Williams, and Mark E. Courtney. 2013. Adolescent neglect, juvenile delinquency and the risk of recidivism. Journal of Youth and Adolescence 42: 454–65. [ Google Scholar ] [ CrossRef ]
- Sanders, Courtney. 2021. State Juvenile Justice Reforms Can Boost Opportunity, Particularly for Communities of Color. Center on Budget and Policy Priorities. Available online: https://www.cbpp.org/research/state-budget-and-tax/state-juvenile-justice-reforms-can-boost-opportunity-particularly-for (accessed on 24 May 2023).
- Sitnick, Stephanie L., Daniel S. Shaw, Chelsea M. Weaver, Elizabeth C. Shelleby, Daniel E. Choe, Julia D. Reuben, Mary Gilliam, Emily B. Winslow, and Lindsay Taraban. 2017. Early childhood predictors of severe youth violence in low-income male adolescents. Child Development 88: 27–40. [ Google Scholar ] [ CrossRef ]
- Strathearn, Lane, Michele Giannotti, Ryan Mills, Steve Kisely, Jake Najman, and Amanuel Abajobir. 2020. Long-term cognitive, psychological, and health outcomes associated with child abuse and neglect. Pediatrics 146: e20200438. [ Google Scholar ] [ CrossRef ] [ PubMed ]
- The PEW Charitable Trusts. 2014. Public Opinion on Juvenile Justice in America. Available online: https://www.pewtrusts.org/-/media/assets/2015/08/pspp_juvenile_poll_web.pdf (accessed on 24 May 2023).
- Trinkner, Rick, Ellen S. Cohn, Cesar J. Rebellon, and Karen Van Gundy. 2012. Don’t trust anyone over 30: Parental legitimacy as a mediator between parenting style and changes in delinquent behavior over time. Journal of Adolescence 35: 119–32. [ Google Scholar ] [ CrossRef ] [ PubMed ]
- Triplett, Ruth. 2007. Social learning theory of crime. In The Blackwell Encyclopedia of Sociology . Malden: Blackwell. [ Google Scholar ]
- U.S. Department of Justice Office of Justice Programs. 2012. Program Profile: Multidimensional Family Therapy (MDFT). Updated 6 May. Available online: https://crimesolutions.ojp.gov/ratedprograms/267#:~:text=Multidimensional%20Family%20Therapy%20(MDFT)%20is,%2C%20and%20other%20mental%20comorbidities (accessed on 23 June 2023).
- Underwood, Lee A., and Aryssa Washington. 2016. Mental illness and juvenile offenders. International Journal of Environmental Research and Public Health 13: 228–42. [ Google Scholar ] [ CrossRef ] [ PubMed ]
- Vidal, Sarah, Christine M. Steeger, Colleen Caron, Leanne Lasher, and Christian M. Connell. 2017. Placement and delinquency outcomes among system-involved youth referred to multisystemic therapy: A propensity score matching analysis. Administration and Policy in Mental Health and Mental Health Services Research 44: 853–66. [ Google Scholar ] [ CrossRef ]
- Walker, Sarah C., Mylien Duong, Christopher Hayes, Lucy Berliner, Leslie D. Leve, David C. Atkins, Jerald R. Herting, Asia S. Bishop, and Esteban Valencia. 2019. A tailored cognitive behavioral program for juvenile justice-referred females at risk of substance use and delinquency: A pilot quasi-experimental trial. PLoS ONE 14: e0224363. [ Google Scholar ] [ CrossRef ]
- White, Stuart F., Paul J. Frick, Kathryn Lawing, and Daliah Bauer. 2013. Callous–unemotional traits and response to Functional Family Therapy in adolescent offenders. Behavioral Sciences & the Law 31: 271–85. [ Google Scholar ]
- Wiatrowski, Michael D., and Mary K. Swatko. 1979. Social Control Theory and Delinquency—A Multivariate Test. Available online: https://www.ojp.gov/ncjrs/virtual-library/abstracts/social-control-theory-and-delinquency-multivariate-test#:~:text=Hirschi’s%20social%20control%20theory%20suggests,in%20social%20rules%20and%20convention (accessed on 24 May 2023).
- Wilkinson, Andra, Hannah Lantos, Tyler McDaniel, and Hannah Winslow. 2019. Disrupting the link between maltreatment and delinquency: How school, family, and community factors can be protective. BMC Public Health 19: 588. [ Google Scholar ] [ CrossRef ]
- Young, Joanna Cahall, and Cathy Spatz Widom. 2014. Long-term effects of child abuse and neglect on emotion processing in adulthood. Child Abuse & Neglect 38: 1369–81. [ Google Scholar ] [ CrossRef ]
- Zajac, Kristyn, Jeff Randall, and Cynthia Cupit Swenson. 2015. Multisystemic therapy for externalizing youth. Child and Adolescent Psychiatric Clinics 24: 601–16. [ Google Scholar ] [ CrossRef ]
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Criteria | Notes |
---|---|
Inclusion criteria | |
Participants | - Any studies that sampled families, parents, guardians, or siblings or examined factors at the household level (familial dynamics). - Any studies that examined factors or attributes that reduce the risk of recidivism or delinquency or factors that could be targeted for interventions (mitigating factors). - Any studies that examined household-level strategies, programs, or interventions aimed at preventing or reducing recidivism and delinquency, including those that extend into the broader community, and their impacts on juvenile delinquency and recidivism (family-based interventions). |
Intervention | The focus of the study was family-based interventions. - Any studies that examined household-level strategies, programs, or interventions aimed at preventing or reducing recidivism and delinquency |
Comparators | Any studies with any comparator included. |
Outcomes | We included any studies of interventions meeting the above criteria to determine the proportion that reported engagement outcomes |
Study design | Observational, experimental, qualitative, and quantitative studies that met these criteria and did not meet any exclusion criteria were included in the review. |
Exclusion criteria | |
Participants | - Studies included conduct disorder, internalizing and externalizing symptoms, and substance abuse. - Studies that focused on the siblings or parents of juvenile offenders and on justice system, welfare system, or court policies—as opposed to the use of family interventions within these systems or risk and mitigating factors of individuals involved with these systems—were determined to be outside of the scope of this review. |
Intervention | Interventions with a primary focus other than family-based interventions. |
Study design | Systematic reviews, literature reviews, and meta-analyses |
Electronic Database | Search Strategy |
---|---|
Scopus | (“juvenile delinquency” OR “juvenile crime”) AND ((“family intervention”)) AND (psychological) OR (mental AND health) OR (psychology) OR (police) AND (LIMIT-TO (LANGUAGE, “English”)) |
PubMed | (((Juvenile delinquency) AND (family intervention OR family OR “family-based”)) AND (psychological OR mental OR psychology OR “mental health”)) AND (crime OR police) |
Study | Study Population | Outcome(s) Measured | Principal Findings |
---|---|---|---|
( ) | Middle and high school students in New Hampshire participating in the New Hampshire Youth Study from 2007–2009 (n = 596) | Delinquency and parental legitimacy | Authoritative parenting is positively and authoritarian parenting is negatively associated with parental legitimacy. Parental legitimacy reduces the likelihood of future delinquency. |
( ) | Low-income males living in an urban community followed from ages 18 months through adolescence (15–18 years) (n = 310) | Juvenile petitions from juvenile court records | Early-childhood individual and family factors (such as harsh parenting and poor emotional regulation) can discriminate between adolescent violent offenders and nonoffenders or nonviolent offenders. |
( ) | Early adolescents in two-parent homes and their parents (n = 618) in Iowa and Pennsylvania. PROSPER study | Youth substance use and delinquency in 9th grade | Changes in the parent–youth relationship, such as decreased parental warmth and increased hostility during adolescence, were associated with increased delinquency, especially for girls. |
( ) | Male youth (under age 18) and “youthful offenders” (under age 25 and incarcerated under “Youthful Offender” laws) across Colorado, Florida, Kansas, and South Carolina (n = 337) Serious and Violent Offender Reentry Initiative youth sample collected 2005–2007 | Crime and substance use | Family conflict is a major driver of recidivism through its direct impact on increasing crime and substance use and more reentry programs focused on reducing family conflict should be explored, such as multisystemic therapy. |
( ) | Qualitative study; Juvenile court officers working with girls in the juvenile justice system (n = 24) | Extent and type of trauma experienced by girls in the juvenile justice system | In qualitative interviews, the officers discussed how exposure to trauma (violence at home, a dysfunctional home, etc.) influenced girls’ trajectory and contributed to many of their involvement with the juvenile justice system. |
( ) | Adolescents attending public middle or high school in Maryland receiving services from Identity, Inc. (n = 555) | Three deviant behaviors: stealing, fighting, and smoking marijuana | Experience of multiple adverse childhood experiences increased the likelihood of adolescents engaging in deviant behaviors. School connection, anger management skills, and parental supervision acted as protective factors. |
( ) | Youth ages 8–16 who had their first episode in a substitute child care welfare setting between 2000–2003 in the state of Washington (n = 5528) | Risk of justice involvement | Youth with behavioral problems were more likely to be placed in congregate care facilities and had little access to family-based services. High arrest rates among youth with behavioral problems indicated an ineffectiveness of the congregate care approach. |
( ) | Moderate and high-risk juvenile offenders who were screened for probation from 2004–2007 in Washington (n = 19,833) | Risk of subsequent offending (based on event history models) | Returning to an environment where one faced continued or ongoing neglect increased an individual’s risk of re-offending. |
( ) | Youth who were assessed at age 14 at one of the five study sites across the U.S. in the LONGSCAN consortium (n = 815) | Aggression and delinquency | Experiencing chronic neglect or chronic failure to provide from ages 0–12 was associated with increased aggression and delinquency at age 14. This relationship was mediated by social problems, especially for girls. |
( ) | Court staff across four rural juvenile courts in Michigan (n = 15) | Qualitative interviews on trauma-informed practice | Court staff widely supported trauma-informed practices like mental health referrals instead of—or in addition to—sentencing or punishment but faced challenges due to limited mental health resources and inadequate support from schools, government, and police. |
( ) | U.S. adolescents enrolled in grades 7–12 from 1994–95 (n = 10,613) National Longitudinal Study of Adolescent Health | Violent and nonviolent offending behavior | Experiences of maltreatment were associated with more rapid increases in both non-violent and violent offending behaviors. |
( ) | U.S. adolescents enrolled in grades 7–12 from 1994–95 (n = 10,613) National Longitudinal Study of Adolescent Health | Violent and non-violent offending frequency | High-quality relationships with mother or father figures, school connection, and neighborhood collective efficacy were protective against violent offending (both for those experiencing and not experiencing maltreatment). |
( ) | Medium- to high-risk youth on probation (n = 5378) Washington State Juvenile Assessment | Self-regulation, mental health, substance use, academic functioning, family/social resources, and behavioral problems | Groups of individuals exposed to different adverse childhood experiences varied in terms of all six outcomes, suggesting a need for more differentiated treatment approaches applied early on to address these unique needs. |
( ) | Adolescents attending public middle or high school in Maryland receiving services from Identity, Inc. (n = 555) | Three deviant behaviors: stealing, fighting, and smoking marijuana | Experience of multiple adverse childhood experiences increased the likelihood of adolescents engaging in deviant behaviors. School connection, anger management skills, and parental supervision acted as protective factors. |
( ) | Youth ages 8–16 who had their first episode in a substitute child care welfare setting between 2000–2003 in the state of Washington (n = 5528) | Risk of justice involvement | Youth with behavioral problems were more likely to be placed in congregate care facilities and had little access to family-based services. High arrest rates among youth with behavioral problems indicated an ineffectiveness of the congregate care approach. |
( ) | Rural adolescents and their parents (n = 342 adolescents) in Iowa and Pennsylvania. 6-year PROSPER (PROmoting School-community-university Partnership to Enhance Resilience) study. | Delinquent-oriented attitudes, deviant behaviors (stealing, carrying a hidden weapon, etc.) | Inconsistent discipline at home may lead adolescents to develop accepting attitudes toward delinquency, which may contribute to future antisocial and deviant behaviors. |
( ) | Low- to moderate-level male offenders ages 13–17 who participated in the Crossroads study of first-time juvenile offenders and their mothers conducted in California, Louisiana, and Pennsylvania (n = 634, or 317 mother–son pairs) | Re-offending | Strong mother–son relationships can serve as a protective factor against youth’s re-offending, especially for older youth. |
( ) | Youth involved with the Florida juvenile justice system from July 2002–June 2008 with records of ‘severe emotional disturbance’ and an out-of-home placement following arrest (n = 1511) | Re-arrest during a 12-month period | Severe trauma history increased the likelihood of re-arrest relative to less severe or no trauma history. Among those with severe trauma history, those placed in foster homes had the lowest rates of recidivism compared to other out-of-home placements. |
( ) | 10–20-year-old youth in custody in the U.S. (n = 7073) Survey of Youth in Residential Placement | Likelihood of having a plan for education and employment after reentry | Family contact during incarceration increased the likelihood that youth had educational and employment reentry plans. |
( ) | U.S. adolescents enrolled in grades 7–12 from 1994–95 (n = 10,613) National Longitudinal Study of Adolescent Health | Violent and non-violent offending frequency | High quality mother or father relationships, school connections, and neighborhood collective efficacy were protective against violent offending (both for those experiencing and not experiencing maltreatment). |
( ) | Mothers with children of at least 13 years of age and born in 20 select U.S. cities (n = 3444 families) Fragile Families and Child Wellbeing Study | Self-reported juvenile delinquency | Individual-level factors are stronger predictors of self-reported juvenile delinquency than collective efficacy. Mitigating factors include satisfaction with school, academic performance, and parental closeness. Risk factors include substance use, delinquent peers, impulsivity, and prior delinquency. |
( ) | Juvenile offenders ages 12–17 engaged in one of six juvenile drug courts participating in the study (n = 104) | Marijuana use and crime | The use of contingency management in combination with family engagement strategies was more effective than the usual treatment at reducing marijuana use, crimes against persons, and crimes against property among juvenile offenders. |
( ) | Middle and high school students in New Hampshire participating in the New Hampshire Youth Study from 2007–2009 (n = 596) | Delinquency and parental legitimacy | Authoritative parenting is positively associated with and authoritarian parenting is negatively associated with parental legitimacy. Parental legitimacy reduces the likelihood of future delinquency. |
( ) | Previously arrested youth ages 11–17 who participated in a functional family therapy program (n = 134) | Post-treatment levels of adjustment and likelihood of offending | Individuals with callous-unemotional traits face more challenges and symptoms when beginning treatment and are more likely to violently offend during treatment, but functional family therapy can help to reduce their likelihood of violent offending post-treatment. |
( ) | Youth ages 11–19 with a history of juvenile justice involvement receiving intensive in-home services from 2000–2009 in the Southeastern United States (n = 5000) | Classification of youth as recidivists, at-risk, or non-recidivists | The model of in-home services was associated with reduced re-offending, particularly among girls, and with increased likelihood of living at home and attending or completing school for both boys and girls. |
( ) | Youth ages 13–18 participating in a juvenile drug court in Florida (n = 112) | Offending and substance use | The results support the use of family therapy in juvenile drug court treatment programs to reduce criminal offending and recidivism. |
( ) | Active cases of youth ages 10–17 involved with the Safety Net Collaborative in Cambridge, Massachusetts, in 2013 (n = 30) | Arrest rates and mental health referrals | Following the implementation of the safety net collaborative, an integrated model that provides mental health services for at-risk youth, community arrest rates declined by over 50%. |
( ) | Moderate- to high-risk juvenile offenders involved in the Parenting with Love and Limits group and family therapy program between April 2009 to December 2011 in Champaign County, Illinois (n = 155 in treatment; n = 155 in control group) | Recidivism rates and parent-reported behavior | The Parenting with Love and Limits group and family therapy program was associated with significantly reduced recidivism rates and behavioral improvements, indicating potential effectiveness of family and group therapy to reduce recidivism among those at the highest risk. |
( ) | Rhode Island youth participating in a multisystemic therapy program (n = 577) and in a control group (n = 163) | Out-of-home placement, adjudication, placement in a juvenile training school, and offending | Receipt of multisystemic therapy was associated with lower rates of offending, out-of-home placement, adjudication, and placement in a juvenile training school, demonstrating the potential efficacy of multisystemic therapy in reducing delinquency among high-risk youth. |
( ) | ZIP codes with the Fit2Lead park-based violence prevention program and matched control communities without the program in Miami-Dade County, Florida from 2013–2018 (n = 36 ZIP codes) | Change in arrest rates per year among youth ages 12–17 | Park-based violence prevention programs such as Fit2Lead may be more effective at reducing youth arrest rates than other after-school programs. Results support the use of community-based settings for violence interventions. |
( ) | Court-involved girls on probation from 2004–2014 in one Midwest juvenile family court who received the family-based intervention (n = 181) or did not (n = 803) | Recidivism rates | One-year recidivism rates were lower among girls who participated in the family-based intervention program compared to those just on parole. Qualitative interviews highlighted the importance of family-focused interventions for justice-involved girls. |
( ) | Individuals involved in the Missouri Delinquency Project from 1990–1993 and randomized to multisystemic therapy for potential sexual behaviors or the usual treatment of cognitive behavioral therapy (n = 48) | Arrest, incarceration, and civil suit rates in middle adulthood | Participants assigned to the multisystemic therapy treatment were less likely to have been re-arrested by middle adulthood and had lower rates of sexual and nonsexual offenses, demonstrating the potential benefits of targeted therapies. |
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Share and Cite
Aazami, A.; Valek, R.; Ponce, A.N.; Zare, H. Risk and Protective Factors and Interventions for Reducing Juvenile Delinquency: A Systematic Review. Soc. Sci. 2023 , 12 , 474. https://doi.org/10.3390/socsci12090474
Aazami A, Valek R, Ponce AN, Zare H. Risk and Protective Factors and Interventions for Reducing Juvenile Delinquency: A Systematic Review. Social Sciences . 2023; 12(9):474. https://doi.org/10.3390/socsci12090474
Aazami, Aida, Rebecca Valek, Andrea N. Ponce, and Hossein Zare. 2023. "Risk and Protective Factors and Interventions for Reducing Juvenile Delinquency: A Systematic Review" Social Sciences 12, no. 9: 474. https://doi.org/10.3390/socsci12090474
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Reducing juvenile delinquency and recidivism: Project 1H Proposal
- Masters Thesis
- Valdivia, Stephanie
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- Plane, Frederick A.
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Juvenile’s Delinquent Behavior, Risk Factors, and Quantitative Assessment Approach: A Systematic Review
Madhu kumari gupta.
Department of Computer Science and Engineering, Birla Institute of Technology, Ranchi, Jharkhand, India
Subrajeet Mohapatra
Prakash kumar mahanta.
1 Department of Clinical Psychology, Ranchi Institute of Neuro-Psychiatry and Allied Science, Ranchi, Jharkhand, India
Background:
Not only in India but also worldwide, criminal activity has dramatically increasing day by day among youth, and it must be addressed properly to maintain a healthy society. This review is focused on risk factors and quantitative approach to determine delinquent behaviors of juveniles.
Materials and Methods:
A total of 15 research articles were identified through Google search as per inclusion and exclusion criteria, which were based on machine learning (ML) and statistical models to assess the delinquent behavior and risk factors of juveniles.
The result found ML is a new route for detecting delinquent behavioral patterns. However, statistical methods have used commonly as the quantitative approach for assessing delinquent behaviors and risk factors among juveniles.
Conclusions:
In the current scenario, ML is a new approach of computer-assisted techniques have potentiality to predict values of behavioral, psychological/mental, and associated risk factors for early diagnosis in teenagers in short of times, to prevent unwanted, maladaptive behaviors, and to provide appropriate intervention and build a safe peaceful society.
I NTRODUCTION
Juvenile delinquency is a habit of committing criminal offenses by an adolescent or young person who has not attained 18 years of age and can be held liable for his/her criminal acts. Clinically, it is described as persistent manners of antisocial behavior or conduct by a child/adolescent repeatedly denies following social rules and commits violent aggressive acts against the law and socially unacceptable. The word delinquency is derived from the Latin word “delinquere” which described as “de” means “away” and “linquere” as “to leaveor to abandon.” Minors who are involved in any kind of offense such as violence, gambling, sexual offenses, rape, bullying, stealing, burglary, murder, and other kinds of anti-social behaviors are known as juvenile delinquents. Santrock (2002) defined “an adolescent who breaks the law or engages in any criminal behavior which is considered as illegal is called juvenile delinquent.”[ 1 ] In India, Juvenile Justice (J. J.-Care and protection of Children) Act of 2000 stated that “an individual whether a boy/girl, who is under 18 years of age and has committed an offense, referred or convicted by the juvenile court have considered a juvenile delinquent.”
P REVALENCE R ATE : J UVENILE D ELINQUENCY IN I NDIA
According to the National Crime Records Bureau (India, 2019), statistical data of crimes in India show that overall, 38,685 juveniles were placed under arrest in 32,235 cases, among 35,214 juveniles were taken into custody under cases of IPC and 3471 juveniles were arrested under cases of special and local laws (SLL) during 2019. About 75.2% of the total convicted juveniles (29,084 out of 38,685) were apprehended under both IPC and SLL belonging to the age group 16–18 years. In 2019, 32,235 juvenile cases involving and recorded, indicating a slight increment of 2.0% over 2018 (31,591 cases). The rate of crime also indicates a slight increase from 7.1 (2018) to 7.2 (2019).[ 2 ] The total registered cases against juvenile delinquents are calculated as crime incidence rate per one Lakh population as shown in Figure 1 .
The graphical view of registered cases against Juveniles in conflict with law under Indian penal code and special and local laws crimes during 2014–2019 of all the State (s) and union territories of India Sources: Crime in India National (2014-2019), National Crime Records Bureau (NCRB), Ministry of Home Affairs, 2019
R ISK -F ACTORS A FFECTING D ELINQUENT B EHAVIOR
Studies identify that multiple risk factors are responsible for delinquent behavior categorized as individual, parental, family, community, society, schools/educational, financial, mental as well as psychological factors of the individual and the family shown in Table 1 . Adolescents involve themselves in various anti-social activities to fulfill their basic needs. Basically, “delinquency” is just a recreational activity for earning money. These risk factors differ from person to person during the early childhood period and very crucial because children, who are involved in any kind of deviant activity at an early stage, have a higher chance to adopt delinquent tendencies chronically.[ 33 ]
Developmental phases, risk-factors and developing delinquent behaviours of the child
Developmental phase | Risk-factors | Delinquent behavior |
---|---|---|
During pregnancy to infancy period (initial phase) | The child | Complications during pregnancy and delivery of the child; exposure to neurotoxins or any early childhood serious diseases after birth; difficult temperament; impulsivity/hyperactivity; poor attention/concentration; below intellectual ability; male gender |
Family | Alcohol/any substance/drug/smoking by mother during pregnancy; teenage mother; parents poor education; maternal clinical depression; parent’s involvement in drugs/substance abuse and antisocial/criminal activities; poor parent-child communication; poor socioeconomical conditions; serious marital conflicts; large family size | |
Toddler phase | Child | Aggressive/impulsive/disruptive behavior; persistent lying; attention seeking/risk-taking behavior; lack of guilt/empathy |
Family | Harsh/abusive/erratic discipline in the family or member’s behaviors; lack of supervision/neglect/maltreatment; parental separation with child | |
Community | Violence television shows; violent/abusive neighbors | |
Middle childhood period | Child | Disruptive behaviors; involving in criminal activities like stealing, pocketing, etc.,; early-onset of substance abusing and or sexual activities or as victims of early sexual and physical abuses; mood swings as high or low (manic/depressive); withdrawal behavior; positive attitude towards disruptive behaviors; exposure and victimization to any violence or abusive acts; hyperactivity, poor attention and concentration, restlessness, and/or risk-taking behaviors; violent behavior; involvement of antisocial activities; favorable beliefs and attitude of the individual to deviant/antisocial behavior |
Family | Lack of parental supervision; parental conflict; deprivation of basic need in the family | |
School | Poor academic performance; negative attitude towards schools; lack of supervision by teachers and school staffs; truancy; poor organizational and management functioning of the school | |
Peer groups | Rejection by peers; association with gang members or deviant peers and siblings; sibling’s involvement in criminal activities; Peer’s involvement in criminal activities; beliefs and attitude of peers to deviant/antisocial behavior | |
Community | Residence in a disorganized/disadvantaged neighborhood; availability of arms/weapons; availability of drugs/substances; poverty/poor neighborhood; neighbor’s involvements in criminal acts | |
Adolescent period | Adolescents | Psychological conditions - emotional, cognitive and intellectual ability, personality; physical disabilities; involvement in any drug or substance dealing activities; carrying arms or weapons; belief and attitude of the individual to deviant/antisocial behavior |
Family | Poor family management; low levels of parental supervision; family conflict or poor bonding of family members; parental involvement in any antisocial or criminal activities; child misbehave or maltreatment; parental separation with a child; socioeconomical condition of family and members | |
School | School dropout; frequent school transitions; low attachment with teachers, school staffs, and mates | |
Peer groups | Involving in a gang; peer groups engaged in criminal acts; peer’s beliefs and attitude to antisocial behavior | |
Community | Community and neighborhood disorganization; poverty; drugs, alcohol, etc., substances availability; neighborhood involvement in criminal acts; exposure to racial and violent prejudice and stigmas |
Juvenile delinquency is caused by a wide range of factors, such as conflicts in the family, lack of proper family control, residential environmental effects, and movie influence, along with other factors are responsible for delinquent behavior.[ 3 ] Family and environmental factors, namely restrictive behaviors, improper supervision, negligence, criminal activities of parents, improper motivation by peers, fear of peer rejection, poverty, illiteracy, poor educational performance at school, lack of moral education may turn the individual personality into delinquents. Moreover, in the environment, deteriorated neighborhood, direct exposure to violence/fighting (or exposure to violence through media), violence-based movies are considered major risk factors.[ 4 ] In India, a higher level of permissive parenting in low-income families had so many family members and due to economic conditions, the adolescents had pressure to search various income sources to sustain the family, and it has affected parental behavior toward adolescents.[ 5 ] The children who belong to the lower middle-socio-economical class and are rejected by society showed more aggressive behavior.[ 6 ]
Juvenile gang members exhibit significantly higher rates of mental health issues such as conduct disorders, attention-deficit-hyperactivity-disorders, antisocial personality disorder, posttraumatic-stress-disorders, and anxiety disorders.[ 7 ] As well as the intellectual level of young offenders is significantly different from nonoffenders. Emotional problems on adolescents are related to delinquent behavior and impulsivity directly associated with antisocial behavior among adolescents.[ 8 ] Poor self-control of adolescents involved them in substance use, affected harmfully, and increased involvements in anti-social activities.[ 9 ] Nonviolent people, who not involved in any gang, are less likely to utilize mental-health services, having lower levels of psychiatric morbidity, namely antisocial personality disorders, psychosis, and anxiety disorders, when compared with the group of violent offenders.[ 10 ]
M ACHINE L EARNING : A N EW Q UANTITATIVE E VALUATION A PPROACH
Machine learning (ML) is belonging to the multidisciplinary field that includes programming, math, and statistics, and as a new and dynamic field that necessitates more study. It is a branch of computer science that emerged through pattern recognition and computational learning theory of artificial intelligence. ML is exploring researches and development of algorithms that can learn and genera tea prediction besides a given set of data through the computer. It is a scope for the study that gives computers the capability to learn without being principally programmed.[ 11 ] Tom M. Mitchell explained ML as “a computer-based program to learn from action of “E” concerning any task of ‘T’s, and some performance evaluates “P,” if its performance on “T,” as assessed by “P,” improves with action of E.”[ 12 ] The goal of ML is to mimic human learning in computers.[ 13 ] Humans learn from their experiences and ML methods learn from data. The user provides a portion of a dataset designated to train by the algorithm. The algorithm creates a model based on the relationships among variables in the dataset, and the remaining dataset is used to validate the ML model. In simple words, ML approach is for risk indicator is meant to magnify the potential of current knowledge.[ 15 ] ML sits at the common frontier of many academic fields, including statistics, mathematics, computer science, and engineering.[ 14 , 17 ] ML models principally categorized into three categories, namely supervised, unsupervised, and reinforcement based on their task which they are attempting to accomplish. Supervised learning is relying on a training set where some characteristics of data are known, typically labels or classes, and target to find out the universal rule that maps inputs to outputs. Unsupervised learning has no design to give to the learning algorithm, balance itself to find out the patterns through inputs. In reinforcement, interaction with a dynamic environment happens during which a particular target such as driving a vehicle is performed without a driver principally involved in any activities, namely comparison. In numerous studies, pattern classification approaches based on ML algorithms are used to forecast human beings into various categories by maximizing the distance among data groups. ML generally refers to all actions that train a computer algorithm to determine a complicated pattern of data that is conceivable used for forecast category of membership into a new theme (e.g., individual vs. controls).[ 32 ]
R ATIONAL OF THE S TUDY
In the last decade, various researchers have been attracted to the use of quantitative computer-based techniques for analyzing various psychological and clinical aspects, which have greatly contributed to the area of modern psychology. In this analysis, most of the works are devoted to the use of various quantitative analysis techniques, namely ML and statistical methods which has utilized by the researchers for evaluating various risk and protective factors of juveniles. Henceforth, studies on the application of the ML model for risk-assessment of delinquent behavior on juveniles are limited as compared to other techniques, namely logistic regression. Hence, this review paper may explore the utilization of ML to get an easy and quick assessment on juveniles and helpful for future studies. It may help to determine the most significant risk factors and establishment of a successful treatment program that prevents juveniles from delinquent activities and stops them from recidivism.
In this review, all these studies carried out which has used various quantitative techniques to detected juvenile delinquency with specially emphasis on ML and statistical approaches. The review is organized into four sections follows as: Section-I gives an overview of juvenile delinquency, prevalence rates in India, and various behavioral risk factors during the developmental period. It also provides general information about ML as a new approach and their application. Section-II included information about the methodology of the present review. Section-III explores the results and discusses which explore the ML and statistical methods for detecting juvenile behaviors and Section-IV concludes the extant research of the present review and the implications for future work.
M ETHODOLOGY
This review paper aim is to find the various quantitative techniques (computer-assisted techniques) ML and statistical approaches which have been used for assessing/predicting delinquent behaviors, traits, and risk factors among juveniles.
Sources of information
For this review article, a total of 15 research articles were identified and selected through Google-scholar, Web of Science, Academia, PubMed, and Research-Gate, using the keywords, namely juvenile-delinquency, ML, Risk-factors, and delinquent-behavior. All relevant studies were selected for review of the quantitative approaches for identifying delinquent behavior and risk factors of adolescents and the preferred reporting items for systematic reviews and meta-analyses (PRISMA) flow diagram for articles search process as shown in Figure 2 .[ 34 ]
Preferred reporting items for systematic reviews and meta-analyses flow diagram for search outcomes of quantitative assessment of juvenile delinquent behaviors
Inclusion criteria
Research studies published since 2011–2019, case studies, empirical, quantitative, qualitative, and cross-sectional studies published in English were included, which used ML and statistical models to analyze behaviors, risk and associated factors among juveniles.
Exclusion criteria
Protocol, dissertations, prototype studies, and studies which published in other languages were excluded.
Studies on machine learning and statistical methods among juvenile delinquency
In this review, we performed a rigorous search of the literature to provide a narrative description of the various quantitative computer-based approaches which are applicable to assess and identify the delinquent behaviors and risk factors on juveniles. Initially, the search identified 150 articles through various databases, search outcomes show in the PRISMA flow diagram [ Figure 2 ]. One hundred and thirty-five articles were removed by screening through the title, text, removal of duplicate articles and based on inclusion and exclusion criteria, we identified 15 research articles in full text and these selected articles comprising through expert opinions. The findings of these articles tabulated the diverse approaches on the current state of knowledge about assessment of early diagnosis of delinquent behaviors and risk factors and tried to provide a summary which based on computer-based quantitative analysis [ Table 2 ].
Summary table of relevant studies which used quantitative approach to detect delinquent behaviors and risk factors among juvenile behaviors
Author’s name and year | Samples and sources | Aims/objectives | Model/methods for analyzing result | Findings of the study |
---|---|---|---|---|
Castro and Hernandez, 2019[ ] | City Social Welfare Development Office, Butuan, Philippines, A total sample 360 children (177 chidren at risk, or have experience maltreatment and 183 children in conflict with law) | To develop a predictive model to analyze the children in conflict with law, and at-risk as well as compel the preventive options | Decision tree, Naive Bayes model, GLMs and logistic regression | Large numbers of children from 12–17 years are victims of maltreatment, and adolescents from 15–17 years are committed to severe criminal activities |
Kim . (2019)[ ] | Across various jurisdictions from Florida, New York, Oregon, Pennsylvania, and Virginia. A total of 8000 sexually offending juveniles, from 2009 to 2013 | The study examined the present practice and policy for the assessment, treatment, and intervention of sexually offender delinquents | Traditional regression and ML algorithms | Criminal history, sexual offending experiences, delinquent peers are the most important risk factors. Some influential factors viz., school performance, peer connection; regretful feelings, impulsiveness, mental health, and substance abuse are theimportant predictive factors of sexual offenders for recidivism |
Sumalatha and Santhi, 2018[ ] | Juvenile delinquents | To establish a model for enhancing the efficiency of the Bayes algorithm classification for detecting juvenile affliction depends on paternity behavior and usage of digital gadgets. A model consisting of three phases’ viz., ranking prototype, PEH model, and CAPM | Naive Bayes probabilistic model | Juvenile affliction is highly dependent upon parental behavior and influence by digital gadgets |
Rokven . 2018[ ] | 12–17 years, Dutch juveniles | For comparison among four groups - Online delinquents, offline delinquents, nondelinquents, and both online and offline delinquents | Multinominal logistic regression | Juveniles who had a history of offline and online offenses belong to the high-risk profiles |
Meldrum . 2015[ ] | Multi-city cohort research study among adolescents, from birth to 15 years of age. A total number of 825 adolescents; 50% females; 82% white non-Hispanic, 59% two-parent or nuclear family | To measure the connection between sleep and delinquency | Regression model | Delinquency is indirectly related to sleep loss where poor self-control plays the role of catalyst |
Castellana . 2014[ ] | 39 young offenders who did not have any previous mental problems, and 32 nonoffenders’ young people with similar SES | To assess differences in psychopathic behavior between youths of offending and nonoffending people with the same SES | ANCOVA | The requirement of a wide variety of interventions including SES factors to control juvenile delinquency |
DeLisi . 2013[ ] | 227 Juvenile delinquents (male and female), from nonprofitable juvenile residential facilities, western Pennsylvania | To find the correlation between violent video games and violence among youth | Negative binominal regression | Violent video games directly associated with anti-sociality, and multiple correlates viz., psychopathology |
Fernández-Suárez . 2016[ ] | A total of 218 juvenile male offenders and 46 females who arrested under a judicial penal code in Asturias (Spain) in the year 2012 | Find the connection between school dropout with multiple causes’ viz., individual and family factors | Multivariate logistic regression | School dropout has higher irresponsibility, illegal alcohol, and drugabuse, inadequate parental supervision, as compared to nondropout individuals |
Margari . 2015[ ] | 135 juvenile offenders (male-female both), age range 14–18 years, adjudicated by the juvenile court of Puglia | To find out the impact of multiple predictor variables as academic performance and peer factors on conduct problem | Multiple regression | Educational achievements problems in 52% juvenile; 34% had a history of psychiatric problems in the family. 60% of juvenile delinquents involved in property-related crime, 54% were involved in drug and substance abuse-related activities; these factors affecting severely students academic achievements |
Wu, 2015[ ] | A total of 2690 secondary school students | To find out the school life based on academic performance, delinquency, | Multidimensional Scaling model | Dynamic cognitive mechanisms were utilized in which individual’s measure and weigh their self as |
social, and financial factors to assess the behavioral similarity among adolescents | well as other person’s position | |||
Brunelle . 2014[ ] | 726 youth, enrolled in the addiction service left atQuebec City, from March 1999 to 2003. | To examine the time of youth’s request for addiction services in the addiction rehabilitation center | MANCOVA | History of sexual abuse is one of the strongest factors connected with psychotropic substance-using severity |
Gordon . 2014[ ] | 600 gang and nongang members, Pittsburgh Youth Study data | Involvement in serious delinquent behavior viz., drug business, serious violent and burglary acts, around 1990 | Multiple logit model | Gang members having a high level of delinquent behavior were mainly involved in the drug business, serious theft, and violence as compared to nongang-members |
Parks, 2013[ ] | =4389, data used from the national longitudinal study of adolescent health | To find out the variations among adolescent delinquency between cohabitating family, other family types, and the effect of parental social control on the variation of delinquency in different family compositions | Binary logistic regression along with multivariate models | No major differences in violent behaviors in both groups (cohabitating families and other family types). However, adolescents of cohabitating families have a higher risk of involving in a nonviolent form of delinquency compare with natural-parental families with marginal significance |
Low . 2012[ ] | 244 families (122 younger brothers and 122 younger sisters) | To assess the economic strain of delinquency among adolescents | SEM | Sibling aggression has a very strong and harmful effect on adolescents who belongs to economically strained families. Economic conditions of the family are highly associated with the effect of parents, siblings, and peer as risk and juvenile delinquency |
Gold . 2011[ ] | 112 adolescents (22 females and 90 males) from the age range of 12–19 years, staying in a Juvenile detention facility pending criminal charges | Assess the relationship between abusive and nonabusive parenting, adolescent shame (expressed and converted), and violent delinquency | Hierarchical regression model, ANOVA | Abusive parenting is connected to violent delinquency directly as well as indirectly through converted shame. Conversion of shame is the major cause of more violent delinquency when compared to expressed shame |
GLM: Generalized linear model, ML: Machine learning, PEH: Probabilistic estimation hypothesis, CAPM: Categorization of anxiety predictor model, SES: Socioeconomic status, SEM: Structural equation model
D ISCUSSION
In this systematic review, we performed a rigorous search of the literature to provide a narrative picture of various methods used to identify juveniles’ behaviors. We identified 15 articles, with the objective to analyze the application of ML and other quantitative approaches to assess various delinquent behaviors and risk factors of juveniles. The studies revealed ML is a new quantitative method to identify the risk factors and delinquent behavior henceforth; there very few studies are conducted. In this study, we tried to provide a summary of selected articles on the current state of knowledge about quantitative analysis for assessment of delinquent behaviors of juveniles and there only few articles have used ML as quantitative analysis. The City Social Welfare Development Office of Butuan, Philippines, used a dataset to create predictive models for analyzing the minors at risk and children in conflict with poor financial status. And found children with age range 12–17 years are victims of maltreatment, and adolescents between the ages of 15–17 years commit severe crimes.[ 16 ] Kim et al .[ 18 ] used traditional regression, ML method and certified the predictive validity of the models in numerous ways, along with traditional hold-out validation k-fold cross-validation, and bootstrapping to examine the present practice and policy for assessment, treatment, and management of delinquents who have a history of sexual conviction in multiple jurisdictions from New York, Florida, Oregon, Virginia, and Pennsylvania. Results revealed that important risk factors among juveniles had some criminal history, sexual offending experiences, and delinquent peers. Some dynamic factors viz. performance in school, peer connection, sorrowful feelings, impulsiveness, mental health, and substance abuse are important anticipating factors among sexual offenders for recidivism.
Rokven et al .[ 19 ] used multinomial logistic regression technique to compare four types of delinquent groups: online delinquents, offline delinquents, nondelinquents, and delinquents who belong to both online and offline categories and found juveniles who having both online and offline criminal records are more likely to commit crimes. Delinquency is indirectly linked with sleep deprivation, with poor self-control acting as a catalyst proved by regression models with latent factors.[ 20 ] Violent video games directly associated with anti-social behavior, even though several correlates, such as psychopathologies has present in youth analyzed by negative binomial regression (extended version of Poisson regression).[ 22 ]
Fernández et al . analyzed through multivariate logistic regression and found, school dropouts’ teenagers had a higher level of irresponsibility, substance, and illicit drug abuse compare then nondropouts.[ 23 ] In addition, lack of parental supervision plays a significant role in the prediction of deviant behaviors on school dropouts. School dropout teenagers have multi-dimensional problem that requires proper parental supervision and proactive school policies to reducing drug and alcohol abuse.[ 23 ] Fifty-two percent of juvenile offenders had issues with academic performance, 34% had family history of psychiatric disorders, 60% of juveniles involved in property crime and 54% of offenders involved in drugs and alcohol use-related offenses had some deficiency in academic achievement evaluated by multiple regression techniques.[ 24 ] Wu (2015) created a multidimensional scaling model and found students used a complex cognitive-mechanism measured and compared their position to friends and others.[ 25 ]
Sexually assaulted history has strongly associated and one of the most powerful variables associated with the intensity of psychoactive substances using by juveniles.[ 26 ] Parks[ 28 ] has used binary logistic regression and multivariate models revealed that no major variations in violent juveniles belong to cohabiting families and other families. However, teenagers of cohabiting families have marginally higher risk to involving in nonviolent forms of crime.[ 28 ] Economic conditions of the family has strongly linked to the influences of parents, siblings, and peers at risk and delinquency. Economic stress, having an active sibling aggression, harmful, and more destructive events affected seriously on adolescent delinquent behaviors who belongs to economically poor families.[ 29 ] Coercive parents are directly associated with violent delinquency of adolescents on both ways as explicitly and indirectly and transformed shame on adolescents. As opposed to articulated guilt, shame conversion is the major cause for more violence.[ 30 ]
It is very difficult to evaluate all possible outcomes and explain a single quantitative approach as ML to early identification of delinquent behaviors and risk-factors of juveniles for intervene in the affected factors. Our study has several limitations. First, other studies rather than the English language were we not included in the study. Second, counties like India have very less evidence-based studies in the field of early detection of juveniles and computer-based assessment approaches as ML for quantitative analysis. Third, only 15 articles were considered which fulfilled the inclusion criteria.
I MPLICATION
The modern world is fully based on computers and technology for making works easy and faster. ML model is an emerging future technology in the field of health and mental health. It has the potential to predictive ability to detect health/mental health-related problems as well as for early diagnosis of problems behaviors. This review is acknowledging the use of quantitative analysis focused on ML algorithm as a new research area for early identification of delinquent behaviors of children, to prevent the deviant behaviors and related risk-factors and may be beneficial for future studies and contribute to make a peaceful society and worthful young generation for the nation.
C ONCLUSION
This review showed that available literature based on ML and other quantitative methods to identify the risk factors and delinquent behaviors of juveniles. Young peoples are at a higher risk to learn maladaptive/deviant behaviors as violent, aggressive, hyperactive, and easily involved in criminal activities. According to studies, individual factors, family environment, family structure, size/type of the family, parental status (single/separate/divorces) are highly affected adolescent’s behaviors. In addition, social, environmental, and economic conditions are lead to adapt conductive and delinquent behaviors. There highly need to identify delinquent behaviors in the initial stage to prevent with affected risk factors. It is very crucial for early screening and intervention.
Financial support and sponsorship
Conflicts of interest.
There are no conflicts of interest.
Acknowledgment
Authors acknowledge to Department of Science and Technology- Cognitive Science Research Initiative (DST-CSRI) for sponsored the project in the Department of Computer Science and Engineering, Birla Institute of Technology, Mesra, India, which explores the technology-based approach in multidisciplinary works. The authors also would like to thank Mr. Abhinash Jenasamanta and Mr. Devesh Upadhyay, Research Scholars, Department of Computer Science and Engineering, BIT, Mesra, Ranchi, for technical and motivational support.
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The prevention and treatment of juvenile delinquency: A review of the research
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141 Juvenile Delinquency Research Topics & Essay Titles
🔝 top-10 juvenile delinquency research topics, 🔎 research questions about juvenile delinquency, 🏆 best juvenile delinquency topic ideas & essay examples, 💰 poverty and juvenile delinquency topics.
- 💡 Interesting Juvenile Justice Research Topics
🛑 Juvenile Justice Topics on Delinquency Prevention
📌 simple & easy juvenile delinquency essay titles, 🖊️ research topics on juvenile delinquency in the us, 👍 good essay topics on juvenile delinquency, 📑 juvenile justice research paper topics, ❓ research questions on juvenile delinquency.
- The Impact of Media on Juvenile Delinquency
- Social Learning Theory and juvenile delinquency
- Developing Solutions to the Juvenile Delinquency Problem
- Methodologies Used to Measure Acts of Juvenile Delinquency
- Juvenile Delinquency and the Importance of Socialization
- Problems of Juvenile Delinquency
- Juvenile Delinquency is a Product of Nurture
- Poverty Areas and Effects on Juvenile Delinquency
- The Cognitive Theory in Juvenile Delinquency
- Juvenile Delinquency: Social Disorganization Theory
Do you want some fresh research questions about juvenile delinquency? You’ll find plenty of them in the sections below!
Who Is Most Likely to Be a Juvenile Delinquent?
According to various studies, youth who have experienced violence, poverty, or family unsteadiness are more likely to break the law. Social factors like academic struggles, substance use, and peer pressure can also bring about criminal activity. Besides, males born to unmarried mothers under age 18 show a higher propensity for becoming chronic juvenile offenders than others.
What Crime Do Juveniles Commit the Most?
Property crimes, like theft, vandalism, and burglary, reign supreme among the most prevalent youth wrongdoings. Substance abuse is another widespread offense, which can also increase teens’ involvement in drug and alcohol crimes and even brutal acts, such as assault or homicide. Moreover, reckless driving, speeding, and driving under the influence are all concerning behaviors frequently seen in this age group.
Is Juvenile Delinquency Hereditary?
Studies show that children of criminal fathers tend to demonstrate higher rates of lawbreaking behaviors. Moreover, some males have a rare genetic abnormality — an extra Y chromosome, which has been connected to aggression. However, genetic predispositions do not guarantee delinquency. Factors like socioeconomic status, family atmosphere, and role models often play a far more significant role.
Are Parents to Blame for Juvenile Delinquency?
Family-based factors, like bad parenting, family conflicts, and home abuse, may increase teen delinquency risk. Living in a disadvantaged neighborhood with limited opportunities and easy access to illicit goods like drugs and weapons can further compound these chances. Conversely, strong parent-child bonds, adequate parental practices, and financial stability can protect youth from rash actions.
What Are the Effects of Juveniles Being Tried as Adults?
Trying young trespassers as adults is perilous. Adolescents can witness or even undergo violence from older inmates, which will leave them with permanent psychological wounds. Moreover, the stigma of a criminal record can make it challenging for teens to find educational opportunities or secure a decent job in the future. This, in turn, can raise their chances of recidivism.
- Role of Family in Reducing Juvenile Delinquency Players in the criminal justice system recognize the contribution of family and familial factors to the development of criminal and delinquent tendencies and their potential to minimize minors’ engagement in illegal and socially unacceptable behaviors.
- The Problem of Juvenile Delinquency The addition of family context to the existing perception of adolescent crimes could be used to explore the core reasons for the crimes and to define possible methods for the prevention of juvenile crimes. The […]
- Juvenile Delinquency in Ancient and Modern Times The only policy related to juvenile delinquency existing in ancient Greece was the law that prohibited the youth in ancient Greece from beating their parents.
- The Issue of Juvenile Delinquency At the onset of the industrial revolution, public awareness concerning the fair and ethical treatment of children in workplaces emerged. The role of supervising and guiding children is left to other children, grandparents, or hired […]
- The Relationship Between Parental Influence and Juvenile Delinquency Parents that do not allow their children to play with their neighbors, or discourage their children from associating with particular families lead to the children developing a negative attitude towards the families.
- The Broken Homes and Juvenile Delinquency The level of measurement in this study will be to assess the frequency of involvement in crime by the children from the broken homes as well as those from the two parent families.
- Juvenile Delinquency, Its Factors and Theories Under the individual risk factors, it is prudent to note that a lack of proper education coupled with lower intelligence might pose a serious risk to a minor in terms of engaging in criminal activities […]
- Juvenile Delinquency: Impact of Collective Efficacy and Mental Illnesses The perception of collective efficacy can be defined as the consideration that the people in a neighborhood are trustable and can do their part to partake in social control to benefit a specific community.
- Juvenile Delinquency: a Case Analysis The tracking of the juvenile from juvenile court to adult court and then through the system is shown in the outline below: Arrest.
- Implementing an Arts Program to Help Curb Juvenile Delinquency and Reduce Recidivism Therefore, the pieces of art will be customized to rhyme with society needs of the targeted children and the adolescents. Some of the enrollees to this program will be delinquents.
- Single Parenthood and Juvenile Delinquency in Modern Society The proposal seeks to establish the relationship between single parenthood and the increase in juvenile delinquency. I propose addressing child delinquency from the perspective of social and family background to understand the risks associated with […]
- Juvenile Delinquency and Affecting Factors The information gathered, synthesized, and analyzed in the research with the help of the proposed question has future value as it identifies factors that can be impacted by the society representatives.
- Gangs and Juvenile Delinquency Hallsworth and Silverstone argues that although there have been a lot of violence, the main source is not quite clear and people live by speculations that the violence is linked to the emergence of a […]
- Juvenile Delinquency: Three Levels of Prevention It is made up of programs and ideals which are effective in treatment of the offender, reintegrating them in the society and limiting them from committing similar offenses. In conclusion, though most prevention programs are […]
- Day Treatment Centers and Juvenile Delinquency One of the core aspects that should not be disregarded is that such programs may be used as a particular assessment tool that would help to identify needs of a juvenile, and this approach may […]
- Court Unification and Juvenile Delinquency Speaking about the given issue, it is important to give the clear definition of this category and determine who could be judged by the juvenile court.
- Prevent Juvenile Delinquency in the USA Due to this fact, it is possible to describe the existing problem as the increase in the number of crimes that children commit.
- Juvenile Delinquency: Risk Assessment The investigatory processes to know the individual’s character and personality involve the use of complex and simple approaches, and these serve to provide organizations or institutions dealing with child welfare with important information that would […]
- Life Without Parole and Juvenile Delinquency The United States is one of the few countries which recognize the necessity of sentencing juveniles to life without parole. This is the main and only advantage of this approach.
- Juvenile Delinquency and Reasons That Lead to It Irrespective of the cause of juvenile delinquency, juvenile drug abuse is certainly most commonly related directly to either an increase or a decrease in any form of juvenile delinquency. This correlates to the increase in […]
Poverty is frequently seen as a crucial risk factor for delinquent behavior. Those who grow up in financially disadvantaged households are more prone to engage in unlawful conduct due to a shortage of resources, prospects, and positive role models.
Here are some topics about poverty and juvenile delinquency:
- The efficiency of juvenile justice programs in low-income communities.
- How does poverty affect recidivism rates among young offenders?
- Sentencing disparities among young criminals in wealthy and poor areas.
- Teenagers’ property crimes as a result of family income instability.
- The influence of unemployment rates on juvenile criminality trends.
💡 Interesting Juvenile Justice Research Topic
- The Rise of Juvenile Delinquency and the Influence of Drugs Additionally, parents are the ones who know the strengths and weaknesses of the children since they spend most of their time together, their suggestions and views towards the crime committed should be handled with a […]
- The Concepts of Nature and Nurture in Modern Psychologist to Explain Juvenile Delinquency Hence any behavior exhibited by a juvenile that is in total contrast with the value demands of the larger society can be termed as Juvenile Delinquency. On the one hand, it is believed that Juvenile […]
- Theories of Juvenile Delinquency Research showed individuals’ attitudes toward crime may herald their criminal behavior, in agreement with criminological theories such as control theory, learning theory and psychological theories like the theory of reasoned action.
- Criminology Theories and Juvenile Delinquency From the point of view of labeling theory, the initial drinking and the first fight at the party is John’s primary deviance.
- Juvenile Delinquency in the United States According to Pennsylvania laws, children at the age of 10 and above can be trialed as adults for first- and second-degree murders.
- Theories and Suggestions on Juvenile Delinquency The other factor is that the norms that governed relationships in the different family and societal set-ups such as in the school and the workplace are being challenged.
- The Phenomenon of Juvenile Delinquency They are very important in the proceedings and even have additional authority to propose a waiver of the subject. The judges are the other officials in a juvenile court system.
- Juvenile Delinquency: Causes and Intervention The role of the family and parents cannot be discounted in the causes of juvenile delinquency. The courts and the lawyers are involved in the trial and sentencing of juvenile offenders.
- Juvenile Delinquency: The Columbine Shootings This paper seeks to discuss and analyze the casual theory of juvenile delinquency by describing an instance of juvenile delinquency as highlighted in the mass media, by describing the casual theory of juvenile delinquency with […]
- Juvenile Delinquency Theories in the United States School and family are extremely important to juveniles regarding their worldview, and the failure of those communities to guide them may result in turning to questionable ideals and morals.
- Adolescent Diversion Project in Juvenile Delinquency Treatment in Michigan The focus of the program is to prevent future delinquency by creating social attachments to family and other prosocial youth by providing community resources and keeping individuals away from the juvenile justice system which can […]
- Crime Prevention and Juvenile Delinquency As a specific jurisdiction that will serve as the basis for assessing and implementing the provisions of the crime prevention program, the District of Florida will be considered.
- Factors Associated With Juvenile Delinquency Further, the authors propose that the family should be the main focus of prevention and clinical interventions and that establishment of social policy and programs should be directed to the family.
- The Issue of Juvenile Delinquency: Recent Trends Violence and other criminal actions attract the attention of the government and the general public, as they affect the life of the society adversely.
- Juvenile Delinquency Investigation The social learning theory that is a part of it suggests that children observe the behavior of others and replicate it.
- Juvenile Delinquency: Criminological Theories These include the broken windows theory, the culture of the gang theory and the social disorganization theory. Cohen developed the culture of the gang theory to explain the origin of juvenile delinquency.
- Juvenile Delinquency, Treatment, and Interventions The performance of the child in school is one of the individual factors that are likely to cause the child to get involved in violent behaviors.
- Juvenile Delinquency The defenders of the system on the other hand appreciate the marked role of juvenile justice system in rehabilitating juvenile delinquents and are advocating for the conservation of the system and reforming critical structures that […]
Juvenile delinquency prevention is predominantly achieved through early intervention, targeting the root causes and risk factors before they lead to criminal behavior. Effective programs typically comprise education, recreation, community involvement, and functional family therapy.
Juvenile justice topics on delinquency prevention are already waiting for you below:
- Comparing the effects of functional family therapy on young offenders worldwide.
- How can mentorship programs reduce juvenile crime rates?
- Anti-bullying school policies as a preventive measure for teen delinquency.
- The significance of community involvement in preventing youth offenses.
- Strategies for reducing gun violence in American schools.
- Psychological and Behavioural Impact of Substance Abuse on Juvenile Delinquents
- Roles of Family, School, and Church in Juvenile Delinquency
- Understanding Juvenile Delinquency and the Different Ways to Stop the Problem in Our Society
- Juvenile Delinquency and Crime as an Integral Part of the American Society
- Impact of Television Violence In Relation To Juvenile Delinquency
- The Vicious Circle of Child Abuse, Juvenile Delinquency, and Future Abuse
- Juvenile Delinquency, Domestic Violence, and the Effects of Substance Abuse
- The Explorers Program as a Preventative Measure in Juvenile Delinquency
- Juvenile Delinquency, Youth Culture, and Renegade Kids, Suburban Outlaws by Wooden
- The Alarming Rate of Juvenile Delinquency and Cases of Teenage Suicides in the U.S
- The Line Between Juvenile Delinquency And Adult Penalties
- Home Social Environment and Juvenile Delinquency
- The Effects of Neighborhood Crime on the Level of Juvenile Delinquency
- Interpersonal Learning Theory Plus Juvenile Delinquency
- How to Prevent Juvenile Delinquency in the U.S
- Relationship Between Juvenile Delinquency and Learning Disabilities
- The Impact of Television Violence and Its Relation to Juvenile Delinquency
- The Lack of Strong Parental Figures Causes Juvenile Delinquency
- Theories of Juvenile Delinquency: Why Young Individuals Commit Crimes
- Using Drugs and Juvenile Delinquency
- Theory of Social Disorganization and Juvenile Delinquency
- What Is the Best Way to Combat Juvenile Delinquency?
- The Marxist Crime Perspective On Juvenile Delinquency Of African Americans
- Juvenile Delinquency and Victimisation: Urban vs. Rural Environments
In the US, juvenile delinquency rates have been declining steadily, decreasing by 79% from 1996 to 2021. Yet, it remains a pressing social problem because young people continue to be arrested for crimes such as theft, larceny, assault, vandalism, and others. Combating this issue requires effort not only from the government but also from professionals involved in social work, social justice, and criminology.
Check out some research topics on juvenile delinquency in the US:
- The economic costs of juvenile delinquency in the US.
- Analyzing the ethical complexities surrounding juvenile sentencing in America.
- How does the US government respond to easy firearms access for teens?
- Characteristics of juvenile correction facilities in the US.
- The key strategies to reduce confinement among youth of color.
- Juvenile Delinquency And Its Effects On The Adult Justice System
- Juvenile Delinquency Contributing Factors Current Research and Intervention
- Impact Of Single Parents On Juvenile Delinquency Rates
- Video Game Violence Leading to Juvenile Delinquency
- Juvenile Delinquency: Exploring Factors of Gender and Family
- The Psychological Aspect of Juvenile Delinquency
- The Antisocial Behavior Leading to Juvenile Delinquency
- Lead and Juvenile Delinquency: New Evidence from Linked Birth, School and Juvenile Detention Records
- The Role of Family in Preventing Juvenile Delinquency and Behavioural Patterns of Children
- The Relationship Between Poverty and Juvenile Delinquency
- The Importance of Family in the Behavior of Children and in Preventing Juvenile Delinquency
- Preventing and Dealing with Juvenile Delinquency
- How Family Structures Can Play a Role in Juvenile Delinquency
- Juvenile Delinquency and A Child’s Emotional Needs
- Family Structural Changes and Juvenile Delinquency
- Left-Behind Children’s Juvenile Delinquency and Substance Abuse in China
- Juvenile Delinquency And The Juvenile Justice System
- The Curfew: Issues On Juvenile Delinquency And Constitutional Rights
- The Socioeconomic Triggers of Juvenile Delinquency: Analysis of “The Outsiders”
- Exploring the Root Causes of the Problem of Juvenile Delinquency
- The Rise of Juvenile Delinquency and the Flaws of the Juvenile Justice System
- The Causes And Possible Solutions Of Juvenile Delinquency
- The History of the Juvenile Delinquency and the Process of the Juvenile Justice System in Malaysia
- Child Neglect as a Potential Risk Factor to Juvenile Delinquency
If you need more ideas for your research paper on juvenile justice, read the paragraphs below to gain new insights!
Illiteracy and Juvenile Delinquency
Poor literacy is not directly linked to criminal convictions but can contribute to dropout rates and crime. As the National Assessment of Adult Literacy revealed, 70% of imprisoned adults cannot read at a 4th-grade level. It means they struggle to navigate everyday tasks and hold high-paying jobs, which leads them to criminal behavior and contributes to a cycle of poverty and incarceration.
Media and Juvenile Crimes
Violent video games and graphic television shows might contribute to desensitization to juvenile violence. Moreover, the media can glorify criminal lifestyles, making them seem more appealing than living a law-abiding life. These portrayals can influence some vulnerable youth who already struggle with aggression and impulsivity.
Child Physical Abuse and Juvenile Delinquency
Children who experience physical abuse are more likely to engage in delinquent behavior as teenagers and even commit crimes as adults. The trauma and emotional struggles from abuse can lead to antisocial behavior like running away or skipping school. Only supportive relationships with positive adults and mental treatment can help buffer the adverse effects of abuse and reduce the risk of future delinquency.
Drug Use and Juvenile Delinquency
Drugs and crime go hand-in-hand for numerous teens. As per the Bureau of Justice Statistics, about 84% of young offenders in juvenile facilities have ever used drugs. Drugs can impair judgment and fuel risky behavior, increasing the probability of criminal activity. This problem should be handled by a multifaceted approach, including drug treatment programs and psychological help for the underage.
Gang Violence and Juvenile Delinquency
Teenage gang membership can be driven by various factors, such as a sense of connection, peer pressure, family protection, or financial gain. The outcomes of gang membership may be life-threatening, especially for individuals under 18. They can be forced into drug and alcohol consumption, age-inappropriate sexual behavior, be removed from their families, end up in prison, and even die.
- What Is the Importance of Studying Juvenile Delinquency?
- Does Authoritative Parenting Impact Juvenile Delinquency?
- What Are the Factors of Juvenile Delinquency?
- What Are Juvenile Delinquency Causes and Solutions?
- What Type of Problem Is Juvenile Delinquency?
- How Can Family Structures Play a Role in Juvenile Delinquency?
- What Is the Concept of Juvenile Delinquency?
- How Do You Explain Juvenile Delinquency?
- How Does Poverty and the Environment Cause or Contribute to Juvenile Delinquency?
- What Are the Leading Causes of Juvenile Delinquency?
- How Does Family Contribute to Juvenile Delinquency?
- How the Juvenile Delinquency Impact Society?
- Why Is Juvenile Delinquency a Problem?
- What Factors Cause Juvenile Delinquency?
- What Is the Prevention of Juvenile Delinquency?
- What Are the Types of Juvenile Delinquency?
- What Is an Example of a Juvenile Delinquent?
- How Can We Prevent Juvenile Delinquency?
- How Does Juvenile Delinquency Affect the Community?
- How Does Juvenile Delinquency Affect Education?
- Why Is Juvenile Delinquency a Problem in Our Society?
- How Does Juvenile Delinquency Affect the Individual?
- What Is Another Name for Juvenile Delinquency?
- What Causes Juvenile Delinquency?
- How Does Birth Order Affect Juvenile Delinquency?
- What Is the Main Problem in Juvenile Delinquency?
- What Is the Difference Between Crime and Juvenile Delinquency?
- What Are Some Effects of Juvenile Delinquency?
- How Does Juvenile Delinquency Affect Social Life?
- What Is the Nature of Juvenile Delinquency?
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NIJ FY23 Research on Juvenile Justice Topics
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With this solicitation, NIJ, in collaboration with the Office of Juvenile Justice and Delinquency Prevention (OJJDP), seeks proposals for rigorous research and evaluation projects that inform policy and practice in the field of juvenile justice. Specifically, this solicitation seeks proposals for studies that advance knowledge and understanding in the following three categories:
- Providing community-based alternatives to youth incarceration, with a focus on very high need/risk youth who have traditionally been held securely.
- Sealing and expungement of juvenile justice records.
- Reducing racial and ethnic disparities in the juvenile justice system.
- Research to assess dual system youth data capacity and service delivery across juvenile justice and child welfare systems.
- Analysis on the use of the valid court order exception.
Number of Awards: 3 Total Amount Awarded: $3,962,281
An Assessment of Dual System Data and Practices Capacity across Juvenile Justice and Child Welfare Systems
Caring connections for youth: evaluation of a countywide pre-arrest diversion initiative to reduce racial/ethnic disparities, pathways to resilience: assessing the impact of juvenile justice reforms in oklahoma, similar opportunities.
- NIJ FY24 Evaluation on Desistance
- NIJ FY24 Research on the Abuse, Neglect, and Financial Exploitation of Older Adults
- NIJ FY 2022 Invited to Apply – Adolescent Brain Cognitive Development: Social Development Sub-study (ABCD: SD)
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FACT SHEET: President Biden and Vice President Harris Announce Additional Actions to Reduce Gun Violence and Save Lives
New Executive Order Directs Federal Agencies to Combat Emerging Firearms Threats and Improve School-Based Active Shooter Drills
Today, President Biden and Vice President Harris are announcing a new Executive Order directing federal agencies to improve school-based active shooter drills and combat the emerging threats of machinegun conversion devices and unserialized, 3D-printed firearms, as well as additional executive actions that advance the Biden-Harris Administration’s agenda to reduce gun violence and save lives.
After the prior Administration oversaw the largest one-year increase in murders ever recorded, President Biden and Vice President Harris took action from the start of their Administration to reduce violent crime. The President and the Vice President helped deliver over $15 billion in funding through the American Rescue Plan for law enforcement, community violence interventions, and other public safety strategies. By the middle of 2022, the Biden-Harris Administration had already announced more executive actions to reduce gun violence than any other administration. Then, on June 25, 2022, President Biden signed into law the Bipartisan Safer Communities Act, the most significant gun violence prevention law in nearly 30 years. On September 22, 2023, to help drive further progress, President Biden established the first-ever White House Office of Gun Violence Prevention, overseen by Vice President Harris.
Under the leadership of President Biden and Vice President Harris, in 2023 the United States experienced the single largest homicide rate drop in recent history. The reduction in homicide has accelerated this year. Data submitted to the Department of Justice shows that the homicide rate dropped another 17 percent from January through June 2024, compared to the same time period in 2023. Data from the Gun Violence Archive indicates that the number of mass shootings so far this year is 20 percent lower than it was at this time last year.
Today, as we mark one year since the establishment of the Office, President Biden and Vice President Harris are announcing additional meaningful actions to reduce gun violence and save lives. This announcement builds on the numerous additional life-saving actions the Biden-Harris Administration has taken, as detailed in the Office’s Year One Progress Report .
President Biden is signing an Executive Order to accelerate progress on two key priorities: combating emerging firearms threats and improving school-based active shooter drills.
Combatting Emerging Firearms Threats: In April 2021, one of the Biden-Harris Administration’s first executive actions to reduce gun violence was to address the emerging threat of firearms without serial numbers, often referred to as “ghost guns.” To expand these efforts, ATF established an Emerging Threats Center. This Center focuses ATF’s resources on identifying developments in illicit firearm marketplaces, including the use of new technologies to make and unlawfully distribute undetectable firearms and devices that convert semi-automatic firearms into illegal machineguns.
Now, President Biden and Vice President Harris are taking additional action on two emerging firearms threats: machinegun conversion devices and unserialized, 3D-printed firearms.
- Machinegun conversion devices enable semi-automatic firearms, including easily concealable handguns, to match or exceed the rate of fire of many military machineguns with a single engagement of the trigger—up to 20 bullets in one second. From 2017 through 2021, ATF recovered 5,454 of these devices, a 570 percent increase over the previous five-year period. Machinegun conversion devices are illegal to possess under federal law, but we continue to see these devices show up at crime scenes because they are small, cheap, and easy to install. Machinegun conversion devices are often illegally imported or illegally made on a 3D printer from computer code found online. The 3D-printing of a machinegun conversion device costs as little as 40 cents and takes fewer than 30 minutes.
- Unserialized, 3D-printed firearms can be used for illegal purposes such as gun trafficking, unlawful possession by people convicted of felonies or subject to domestic violence restraining orders, or unlawfully engaging in the business of manufacturing or selling firearms. These firearms can be 3D-printed from computer code downloaded from the Internet and produced without serial numbers that law enforcement use to trace firearms recovered in criminal investigations. Some 3D-printed firearms can be made to be undetectable by magnetometers used to secure airports, courthouses, and event spaces, even though these undetectable firearms are illegal to make, sell, or possess under federal law. As 3D-printing technology continues to develop rapidly, the safety threat posed by 3D-printed firearms may suddenly increase.
In this Executive Order, President Biden is establishing an Emerging Firearms Threats Task Force, consisting of leadership from key federal departments and agencies. President Biden is directing the Task Force to issue a report within 90 days that includes: an assessment of the threat posed by machinegun conversion devices and unserialized, 3D-printed firearms; an assessment of federal agencies’ operational and legal capacities to detect, intercept, and seize machinegun conversion devices and unserialized, 3D-printed firearms; and an interagency plan for combatting these emerging threats. The report will include any additional authorities or funding the federal agencies need from Congress in order to complete this work.
Improving School-Based Active Shooter Drills: The Biden-Harris Administration is committed to preventing gun violence in schools, including by keeping guns out of the hands of potential school shooters and investing more resources in school safety and violence prevention. The majority of schools are currently using drills to prepare for an active shooter situation. Despite the ubiquity of these drills, there is very limited research on how to design and deploy these drills to maximize their effectiveness and limit any collateral harms they might cause. Many parents, students, and educators have expressed concerns about the trauma caused by some approaches to these drills. Federal agencies need to help schools improve drills so they can more effectively prepare for an active shooter situation while also preventing or minimizing any trauma.
In the Executive Order, President Biden is directing the Secretary of Education and the Secretary of Homeland Security, in coordination with the Attorney General, the Secretary of Health and Human Services, and the U.S. Surgeon General, to develop and publish, within 110 days, information for K-12 schools and institutions of higher education regarding school-based active shooter drills. The information will include a summary of: existing research on active shooter drills and resources for school districts and institutions of higher education on how to create, implement, and evaluate evidence-informed active shooter drills; how to conduct effective and age- and developmentally-appropriate drills; how best to communicate with students, families, and educators about these drills; how to prevent students and educators from experiencing trauma or psychological distress associated with these drills; and how best to serve people with disabilities and those with language-related needs, including by ensuring compliance with federal civil rights laws, when designing and implementing school-based active shooter drills.
In addition to the Executive Order, federal departments and agencies are taking the following actions:
Promoting Safe Gun Storage and Red Flag Laws
- Encouraging Safe Storage of Firearms: Today, the Department of Education is providing schools, school boards, and policymakers with a new tool to promote safe gun storage in their communities. Following up on its initial safe storage actions , the Department of Education is publishing an interactive website that highlights examples of state, community, and school district actions across the nation that promote safe gun storage within school communities. The website includes a map with state safe storage laws, examples of how schools are communicating with parents about safe storage, and examples of local policies on safe storage education. This new resource builds on guidance the Department published earlier this year to highlight physical safety measures schools can pursue to help keep students safe in the event of gun violence in schools.
- Clarifying Medicaid Reimbursement for Counseling on Firearm Safety: Health systems, hospitals, and healthcare workers are an essential component of a healthy gun violence prevention and intervention system. By the end of October, the Centers for Medicare and Medicaid Services (CMS) will announce that states may choose to use Medicaid to pay a health care provider for counseling parents and caregivers on firearm safety and injury prevention. This announcement will build off the coverage that Medicaid provides for “anticipatory guidance,” which is health education and counseling to help parents and caregivers understand and improve the health and development of their children. For example, Bright Futures/American Academy of Pediatrics’ guidelines include firearm safety guidance, such as safe storage guidance, as recommended anticipatory guidance for pediatricians to provide to parents.
- Implementing State Red Flag Laws: The Department of Justice is announcing over $135 million in formula awards to 48 states under the Byrne State Crisis Intervention Program (Byrne SCIP), which provides funding for the implementation of extreme risk protection order, or “red flag”, programs, state crisis intervention court proceedings, and related programs/initiatives. The implementation of state red flag laws is supported by the National Extreme Risk Protection Resource Center.
Funding Community Violence Intervention
- Funding Community Violence Interventions: In furtherance of the Biden-Harris Administration’s strategy to invest in community violence interventions as a proven solution to prevent gun violence, the Department of Justice is announcing an additional $85 million in funding through the Community Violence Intervention and Prevention Initiative (CVIPI). This funding will help 30 agencies and organizations develop and expand their community violence intervention work, including hospital-based violence intervention, street outreach, and cognitive behavioral therapy. These strategies are essential complements to law enforcement and this investment is part of the $400 million in total funding that the Biden-Harris Administration has secured for CVIPI. CVIPI is only one part of how the Administration funds community violence interventions. This fact sheet lists the full range of federal resources available to address community violence.
- Clarifying Medicaid Reimbursement for Violence Intervention: CMS previously clarified that states may authorize health care providers to be reimbursed by Medicaid for violence intervention programs. In October, CMS expects to proactively raise this clarification with states. CMS will also explore how best to convene state governments and healthcare providers on incorporating Medicaid benefits into violence prevention programs.
Improving the Gun Background Check System
- Facilitating Enhanced Background Checks for Individuals Under Age 21: The Bipartisan Safer Communities Act (BSCA) established enhanced background checks for individuals under age 21 trying to purchase a firearm. These enhanced checks have already stopped over 900 transactions, keeping guns out of the hands of dangerous individuals. But a number of states across the country have privacy laws that prevent state officials from fully responding to enhanced background check inquiries. The Biden-Harris Administration’s Safer States Agenda made fixing this issue a top priority for states, and Connecticut, Vermont, Nevada, Texas, and Kentucky have all recently made necessary changes. Today, the Department of Justice is issuing model legislation that additional states may use to inform their own legislation and allow a carve-out to share juvenile records solely for the purpose of enhanced background checks. In addition, the Justice Department is releasing information on whether state laws permit information-sharing with regard to juvenile records for the purposes of enhanced background checks.
- Maximizing the Enhanced Background Check with Red Flag Laws: Part of the enhanced background check requires requesting records from state and local law enforcement and mental health repositories about potential purchasers under 21. In these and other circumstances, if a person shows clear signs of being in crisis and a danger to themselves or others, they may qualify for consideration under applicable red flag laws which would generally result in that person being ineligible to possess or receive firearms. By October 22, the Extreme Risk Protection Order (ERPO) National Resource Center will provide training to state and local law enforcement on the ERPO process, including how it intersects with individuals under 21.
- Improving the Federal Gun Background Check System: BSCA’s enhanced background checks for gun purchasers under age 21 and the law’s narrowing of the “boyfriend loophole,” along with the expanding number of states with red flag laws, are placing new challenges on state and local agencies attempting to ascertain what records they need to send to the federal gun background check system. To address these challenges, there needs to be system-wide improvements and a new era of collaboration among various entities engaging with the federal gun background check system. By December 15, the Department of Justice’s Office of Justice Programs will have evaluated the existing grant programs that support improvements to the gun background check system and make any changes needed to support states looking to improve their records systems, which may include lengthening the duration of grants where appropriate.
Expanding Data on Gun Violence and Gun Trafficking
- Publishing Additional Data on Ghost Gun Trends and Firearms Trafficking: This winter, ATF will publish the fourth volume of its National Firearms Commerce and Trafficking Assessment. This volume will provide an update on ghost gun trends and trafficking investigations, as well as expanded information on machinegun conversion device recoveries.
- Expanding Collection of Gun Violence Data: There is a lack of reliable and timely data on gun deaths and gunshot injuries that show what is happening nationwide and in individual communities. This data is critical to focusing investment and enforcement efforts. Today, the FBI is announcing that it will collect additional detail in its data collection for gunshot injury wounds in the National Incident-Based Reporting System (NIBRS) by June 2025. The FBI will implement a new injury code to reflect a gunshot wound in the NIBRS victim segment. NIBRS will also enable law enforcement agencies to submit additional detail as to how firearms were used in specific crimes, and the nature of the crime at issue.
- Improving Data on Gunshot Injuries: The Centers for Disease Control and Prevention (CDC) is improving a data visualization tool to present gun death and injury data faster and at a more local level. Using data from vital statistics and emergency rooms at the local level can help inform prevention strategies and evaluate the effectiveness of programs.
Supporting Survivors of Gun Violence
- Best practices for local offices of violence prevention to use in addressing trauma resulting from gun violence;A tip sheet for individuals affected by gun violence who may be seeking more information on the behavioral health impacts of gun violence and how to seek help;A report on lessons learned from the federal ReCAST grant program to uplift the voices of communities impacted by violence as well as share strategies other communities can implement to promote healing, recovery, and resiliency; and
- A toolkit for faith-based leaders, educators, and other leaders to help communities affected by the trauma resulting from gun violence.
Destroying Crime Guns
- Ensuring Appropriate Disposition of Firearms Seized by Law Enforcement: Firearms or firearm parts that were presumed to be destroyed by law enforcement have begun showing up in crimes. Sometimes the guns recovered by law enforcement are sent to a third-party that only partially destroys them. By October 30, the Department of Justice will refresh and clarify best practices for federal law enforcement disposition of seized firearms, including when working in partnership with state and local law enforcement. The Department of Justice will also release a plan to offer new training and education for state and local partners on safe and appropriate firearm disposition.
Preventing Firearm Suicide
- Facilitating Voluntary Out-of-Home Storage to Prevent Firearm Suicide: Voluntary out-of-home storage of firearms is an effective tactic to saves lives by creating time and space between a person in crisis and a firearm. A number of states, including Colorado , Louisiana , Maryland , North Carolina , and Wisconsin , have developed gun storage maps to show different locations where a gun owner can voluntarily store their firearms. A federally funded program has developed model guidelines, contracts, and standard operating procedures for businesses interested in providing this option. Today, the Department of Veterans Affairs and SAMHSA are using their network of teams committed to preventing Veteran suicide—known as the Governor’s Challenge to Prevent Suicide Among Service Members, Veterans, and Families—to encourage states to convene federally licensed gun dealers around offering out-of-home storage to our Nation’s heroes and their families.
Congress must act. While the Biden-Harris Administration’s gun violence prevention actions are saving lives, there is much more to do. President Biden and Vice President Harris continue to call on Congress to enact commonsense gun safety legislation—from a ban on assault weapons and bump stocks to universal background checks to a repeal of gun manufacturers’ immunity from liability—and to enact federal safe storage and red flag laws and fully fund community violence intervention programs and the Bureau of Alcohol, Tobacco, Firearms and Explosives (ATF).
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qualitative research is to provide a deeper understanding of a social phenomenon or problem. Therefore, the emphasis in qualitative research is to use thick, rich description to uncover. patterns in data, and to give voice to the participants, while maintaining flexibility as the research. develops (Creswell, 2007).
Juvenile delinquency is a pressing problem in the United States; the literature emphasizes the importance of early interventions and the role of the family in preventing juvenile delinquency. Using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework, PudMed, and Scopus, we included 28 peer-reviewed articles in English between January 2012 and October 2022 ...
Sample of Studies. For selecting relevant studies, several criteria were formulated. First, we selected studies that examined the effects of (a) programs involving organized visits to prison facilities for juvenile delinquents or youths at risk of becoming delinquent with the aim to prevent or deter them from juvenile delinquency and (b) programs in which juveniles come into contact with ...
This program proposal for Project 1H, will identify the top the three correlations to juvenile. delinquency and recidivism: (1) child maltreatment, (2) negative social relationships, and (3) negative school participation. As well, it will highlight the importance of implementing Project.
Abstract and Figures. The occurrence of juvenile delinquency has become a major societal concern caused by various factors both at the micro and macro levels. This study aims to assess the ...
The Office of Juvenile Justice and Delinquency Prevention (OJJDP) is the largest federal funder of mentoring programs and awarded nearly $1 billion in grants to mentoring organizations from fiscal year (FY) 2008 to FY 2019. ... Synthesis of OJJDP-Sponsored Mentoring Research: 2019 Update, Office of Juvenile Justice and Delinquency Prevention ...
Abstract. This review considers juvenile delinquency and justice from an international perspective. Youth crime is a growing concern. Many young offenders are also victims with complex needs, leading to a public health approach that requires a balance of welfare and justice models. However, around the world there are variable and inadequate ...
The research utilizes a broad interdisciplinary approach to examine the underlying causes, prevalent patterns, and socio-economic factors that contribute to juvenile delinquency.
Bale Robe, Ethiop ia. Abstract. To come up with complete understanding about the root causes of juvenile. delinquency, explanat ions were given from d ifferent perspective s. Hence, psychologists ...
Juvenile delinquency refers to adolescents who are under the age of 18 and commit an illegal act. According to Harris (2015), in 2015 law enforcement arrested 71,923 youth. Depending on the type of crime committed and their age, juveniles are transferred to detention centers or prison. Sadly, due to the lack of transitional community programs ...
In 2019, 32,235 juvenile cases involving and recorded, indicating a slight increment of 2.0% over 2018 (31,591 cases). The rate of crime also indicates a slight increase from 7.1 (2018) to 7.2 (2019). The total registered cases against juvenile delinquents are calculated as crime incidence rate per one Lakh population as shown in Figure 1.
International Journal of Research in Social Sciences Vol. 8 Issue 10, October 2018, ISSN: 2249-2496 Impact Factor: 7.081 ... In India, juvenile delinquency, which is when kids do illegal things, is a serious social problem that has been getting worse. With such a large and varied population, India has its own
However, previous research has revealed that parents holding favorable beliefs toward antisocial behavior is a substantial risk factor for juvenile delinquency (e.g., Maguire & Fishbein, 2016). It may be that the parental rejection item in the WSJCA should be phrased differently to better capture the role of parental attitudes toward antisocial ...
Abstract. Background factors that correlate with juvenile delinquency are consistent across the interdisciplinary literature base. Yet, information about the process of how risks relate to outcomes, especially within school settings, is limited.
Overview. The Office of Juvenile Justice and Delinquency Prevention (OJJDP) supports high-quality, rigorous research, evaluations, and statistical analyses across a range of juvenile justice topic areas. These activities are central to OJJDP's mission to prevent and respond to youth delinquency and victimization.
Juvenile delinquency is the consequence of complex and comprehensive interactions with multiple risk factors. The experimental research highlighted that the public authorities have conducted ...
This paper presents an overview of the juvenile delinquency concept, trends in the delinquency problem, factors that have been linked to delinquency, governmental efforts to reduce and/or prevent the problem. ... ,,J. 1). (1988). Differentiating the effects ofjuvenile court sentences on eliminating I-ecidivism.,/ournal of Research in Crime and ...
Juvenile Delinquency: Criminological Theories. These include the broken windows theory, the culture of the gang theory and the social disorganization theory. Cohen developed the culture of the gang theory to explain the origin of juvenile delinquency. Juvenile Delinquency, Treatment, and Interventions.
Dey, M.(2014), in their research paper entitled on "Juvenile Justice in India". The main objective of this study was to understand the causes of juvenile delinquency. The researcher found that the main reasons of juvenile delinquency are extra pocket money, revenge factor, poor literacy rate, over exposure to media, lack of
15PNIJ-23-GG-02409-TITL. Open. Funding First Awarded. 2023. $1,095,972. Date Created: March 13, 2023. With this solicitation, NIJ, in collaboration with the Office of Juvenile Justice and Delinquency Prevention (OJJDP), seeks proposals for rigorous research and evaluation projects that inform policy and practice in the field of juvenile justice.
The research focuses on the prevalence and trends of juvenile delinquency in Rajasthan, as well as the legal framework and institutional mechanisms in place to address the problem.
Today, the Department of Justice is issuing model legislation that additional states may use to inform their own legislation and allow a carve-out to share juvenile records solely for the purpose ...
Email- [email protected]. ABSTRACT. This research paper aims to explore the evolution of the juvenile justice system in India and its impact on juvenile delinquency. Juvenile delinquency is ...