Showing posts with label Juvenile Justice. Show all posts
Showing posts with label Juvenile Justice. Show all posts

Sunday, March 27, 2016

Polysubstance Use among Minority Adolescent Males Incarcerated for Serious Offenses

BACKGROUND:
Adolescent juvenile offenders are at high risk for problems associated with drug use, including polysubstance use (i.e., use of a variety of drugs). The combination of juvenile offending and polysubstance use presents a significant public and child health concern.

OBJECTIVE:
This study explored polysubstance use among a sample of youth incarcerated for serious offenses. We examined several risk factors for substance use and delinquency (i.e., early and frequent substance use, prior history of arrests, school expulsion, Black ethnicity), as well as the association between aggression and polysubstance use.

METHODS:
Data were collected via questionnaires from 373 serious male juvenile offenders upon intake into a secure locked facility. Youth were on average 16 years old, and minority youth were overrepresented (28.1% Black, 53.1% Latino). Poisson regressions were used to assess the associations between the risk factors, aggression, and polysubstance use.

RESULTS:
Consistent with the literature, Black youth reported less polysubstance use and later age of drug use onset than White and Latino youth. Findings suggest that Latino juvenile offenders and those with an early and problematic pattern of substance use are at heightened risk for polysubstance use. Aggression was not significantly related to polysubstance use, over and above the risk factors.

CONCLUSIONS:
Given that Latino youth experience low rates of treatment for substance use, the development of culturally-sensitive interventions for these youth is needed. Interventions should also be multifaceted to address the multitude of risk factors associated with polysubstance use among juvenile offenders.

Purchase full article at:   http://goo.gl/vqQn1f

  • 1Eunice Kennedy Shriver National Institute of Child Health and Human Development.
  • 2Johns Hopkins School of Medicine.
  • 3Johns Hopkins School of Medicine; Johns Hopkins Bloomberg School of Public Health.
  • 4Johns Hopkins Bloomberg School of Public Health; University of Virginia.
  • 5Johns Hopkins Bloomberg School of Public Health.
  • 6University of California, Irvine. 
  •  2015 Apr 16;45(2):205-220. Epub 2015 Sep 5.



Saturday, March 26, 2016

A Behavioral Measure of Costly Helping: Replicating and Extending the Association with Callous Unemotional Traits in Male Adolescents

Background
Some conduct-disordered youths have high levels of callous unemotional traits and meet the DSM-5’s “with limited prosocial emotions” (LPE) specifier. These youths often do aggressive, self-benefitting acts that cost others. We previously developed a task, the AlAn’s game, which asks participants to repeatedly decide whether to accept or reject offers in which they will receive money but a planned charity donation will be reduced. In our prior work, more "costly helping" (i.e., rejecting the offered money and protecting the donation) was associated with lower callous unemotional traits. Here we extend that prior work in a larger sample of adolescent male patients with serious conduct problems and controls, and test whether this association is mediated specifically by a Moral Elevation response (i.e., a positive emotional response to another’s act of virtue).

Methods
The adolescent male participants were: 45 patients (23 with LPE) and 26 controls, who underwent an extensive phenotypic assessment including a measure of Moral Elevation. About 1 week later participants played the AlAn’s game.

Results
All AlAn’s game outcomes demonstrated significant group effects: (1) money taken for self (p = 0.02); (2) money left in the charitable donation (p = 0.03); and, (3) costly helping (p = 0.047). Controls took the least money and did the most costly helping, while patients with LPE took the most money and did the least costly helping. Groups also significantly differed in post-stimulus Moral Elevation scores (p = 0.005). Exploratory analyses supported that the relationship between callous unemotional traits and costly helping on the AlAn’s game may be mediated in part by differences in Moral Elevation.

Conclusions
The AlAn's game provides a standardized behavioral measure associated with callous unemotional traits. Adolescents with high levels of callous unemotional traits engage in fewer costly helping behaviors, and those differences may be related to blunting of positive emotional responses.

Below:  Examples of the different trial types in the AlAn’s game.
Panel A shows an Active Trial where the participant will receive 64 cents and the Red Cross donation will be reduced by 2 cents. Participants are asked to accept or reject this offer. Panel B shows an Attentional Control Trial where the participant will lose 2 cents and the Red Cross donation will be reduced by 8 cents. We term this kind of Attention Control trials, “Logically-Reject” Trials. Panel C shows an Attention Control Trial where the participant will gain 32 cents and the Red Cross donation won’t change. We term these “Logically-Accept” Trials.Panel D shows a Calculation Trial where the You number (+8) is not bigger than the Red Cross number +16). Note: The circle remains red for 5 seconds, allowing participants to view the trial content. Then the circle turns green and subjects have 1 second to press either yes (accept) vs. no (reject).



Full article at:   http://goo.gl/0K53AA

Antonio Verdejo-GarcĂ­a, Editor
Division of Substance Dependence, Department of Psychiatry, University of Colorado School of Medicine, Denver, Colorado, United States of America
University of Granada, SPAIN




Tuesday, March 15, 2016

Juvenile Penalty or Leniency: Sentencing of Juveniles in the Criminal Justice System

The purpose of this study is to examine the impact of being juvenile on sentencing in the criminal justice system. More specifically, youth transferred to criminal court are compared to adults in terms of likelihood of incarceration, jail length, and prison length. 

In this study, 2 national data sets are merged. The juvenile sample includes 3,381 convicted offenders, and the adult sample is comprised of 6,529 convicted offenders. The final sample is 9,910 offenders across 36 U.S. counties. 

The key independent variable is juvenile status, and the dependent variables are incarceration, jail length, and prison length. Because of the multilevel nature of the data, hierarchical linear modeling is used across all models. 

Juveniles are punished less severely in the jail incarceration decision. However, when youth are actually sentenced to incarceration (either jail or prison), they are given longer confinement time than adults

Purchase full article at:   http://goo.gl/CMRfdh

 2016 Mar 14.




Monday, February 29, 2016

Mental Illness and Juvenile Offenders

Within the past decade, reliance on the juvenile justice system to meet the needs of juvenile offenders with mental health concerns has increased. Due to this tendency, research has been conducted on the effectiveness of various intervention and treatment programs/approaches with varied success. Recent literature suggests that because of interrelated problems involved for youth in the juvenile justice system with mental health issues, a dynamic system of care that extends beyond mere treatment within the juvenile justice system is the most promising. The authors provide a brief overview of the extent to which delinquency and mental illness co-occur; why treatment for these individuals requires a system of care; intervention models; and the juvenile justice systems role in providing mental health services to delinquent youth. Current and future advancements and implications for practitioners are provided.

The juvenile justice (detention, probation, youth corrections facilities, etc.) system is currently faced with the task of providing mental health assessments and treatment services for its youth, as there is greater reliance on the juvenile justice system to do so. According to Garascia (2005), the juvenile justice system was originally both a rehabilitative and preventative approach, emphasizing the needs and rights of children over the appeal to punish them [1]. In accordance with The Juvenile Justice and Delinquency Prevention Act of 1974, the ultimate goal of juvenile justice was to divert youth from the formal, punitive processing of the adult justice system. This in turn resulted in the use of community-based programs rather than large institutions. The 1980s to the 1990s presented an interesting shift in the justice system’s treatment of juvenile offenders. Prior to the 1980s, juveniles were seen as rehabilitative; however, due to a short-lived surge in violent delinquency, protecting the community became the primary goal [2,3,4]. Consequently, the juvenile justice system developed an approach that uses a punishment/criminalization perspective over a rehabilitative/medicalization perspective [2,3,5]. Similar to the zero-tolerance attitude of the education system, in the early 1990s more than half of the states in the U.S. made revisions that allowed for juvenile offenders to be easily prosecuted in the adult criminal court and began to pass more punitive laws to address adolescent crime [2,6]. Although youth have committed violent and nonviolent crimes at a lower rate in the past few decades, Harms (2002) posits that the number of youth processed via the juvenile justice system has increased [7]. In 1960 approximately 1,100 delinquency cases were processed daily, while in 2009 juvenile courts handled about 4000 delinquency cases daily, and in 2013, approximately 2900 delinquency cases were processed daily [8]. The National Juvenile Justice Council (NJJC) estimates that the number of delinquency cases increased 30% between 1985 and 2009, however there was a 9% decrease between 1985 and 2013 [8]. More specifically, delinquency caseloads involving drug offenses, person offenses, and public order offenses increased, while property offense cases decreased between 1985 and 2013 [8]. The number of delinquency cases involving detention peaked in 2002, but decreased 44% through 2013 to the lowest level since 1985 [8]. According to the NJJC, despite the decrease in the volume of delinquency cases involving detention, the proportion of cases detained was larger in 2013 (21%) than in 1985 (19%).Between 1985 and 2013, the likelihood that a delinquency case would be handled informally (without petition for adjudication) decreased [8]. Although there was an intermediary increase, 31% of all delinquency cases resulted in either adjudication or waiver to criminal court in 2013, much similar to the 30% of all cases in 1985 [8]. It appears that some efforts have been made in the most recent years to decrease the number of youth cases processed in the juvenile justice system; however, this may be done by processing cases more informally or transferring cases to adult court

Full article at:   http://goo.gl/7ymwTp

By:  Underwood LA1,2Washington A3,4.
  • 1School of Psychology and Counseling, Regent University, Virginia Beach, VA 23464, USA. leeunde@regent.edu.
  • 2Youth Development Institute, New York, NY 10013, USA. leeunde@regent.edu.
  • 3School of Psychology and Counseling, Regent University, Virginia Beach, VA 23464, USA. aryswas@mail.regent.edu.
  • 4Youth Development Institute, New York, NY 10013, USA. aryswas@mail.regent.edu. 
  •  2016 Feb 18;13(2). pii: E228. doi: 10.3390/ijerph13020228.



Tuesday, February 16, 2016

Factors Associated with Recidivism among Adolescents Girls in Conflict with the Law in an Institution in BrasĂ­lia, Federal District, Brazil

Recidivism is a challenge for the Brazilian socio-educational system because it is associated with personal, social and environmental factors, especially among juvenile offenders. 

This study examined key characteristics and potential association with recidivism in 391 female adolescent offenders from a correctional institution in BrasĂ­lia, Federal District, Brazil, between 2004 and 2011. Cross-sectional data on socio-demographics, drug use and offense characteristics from institutional information were examined. Associate factors with recidivism were examined using negative binomial regression analyses. 32.5% of offenders were recidivists at present admission and the mean frequency of recidivism among recidivists was 2.16. About half (53.6%) of the sample reported drug use. 

After the adjustment, recidivism was positively associated with: age; offender's drug use; residence status; offense type; and no family drug use. Factors associated with juvenile offenders' recidivism confirm findings from elsewhere, and should inform targeted interventions in Brazil.

Select socio-demographic, drug use and offense characteristics of female adolescent offenders (n = 284). BrasĂ­lia, Federal District, Brazil, 2004-2011. 

CharacteristicFrequency (n = 284)%
Age (years)
≤ 159939.4
168028.2
179633.8
1893.2
Type of offence
Robbery/Attempted robbery11640.8
Theft207.0
Drug dealing/Possession7426.1
Attempt against life289.9
Threat and extortion144.9
Bodily injury/Fight/Contempt124.2
Other207.0
Offender drug use
No13447.2
Yes15052.8
Family drug use
No21575.7
Yes6924.3
Attending school at the time of detention
No18565.1
Yes9934.9
Residence status
Parents/Other relatives19830.3
On her own8669.7


Full article at:   http://goo.gl/7QsiAm

  • 1Faculdade de Ceilândia, Universidade de BrasĂ­lia, BrasĂ­lia, Brasil.
  • 2Instituto de CiĂŞncias Exatas, Universidade de BrasĂ­lia, BrasĂ­lia, Brasil.
  • 3Centre for Addiction and Mental Health, Toronto, Canada.
  • 4Instituto de Psicologia, Universidade de BrasĂ­lia, BrasĂ­lia, Brasil.
  • 5Escola Paulista de Medicina, Universidade Federal de SĂŁo Paulo, SĂŁo Paulo, Brasil.
  •  2015 Dec;31(12):2569-76. doi: 10.1590/0102-311X00171014. 



Wednesday, February 10, 2016

A Critical Examination of "Being Black" in the Juvenile Justice System

The current study examined the role of race in juvenile court outcomes across 3 decision-making stages. This analysis was conducted with a random sample of all delinquent referrals in a Northeast state from January 2000 through December 2010 (N = 68,188). 

In addition to traditional logistic regression analysis, a propensity score matching (PSM) approach was utilized to create comparable samples of Black and White youth and provide a more rigorous methodological test of the relationship between race and juvenile court processing. Results indicated that even after the use of PSM techniques, race was still found to influence the likelihood of intake (OR = 1.54; 95% C.I. = 1.48-1.62, p < .001), adjudication (OR = 0.80; 95% C.I. = 0.76-0.84, p < .001), and disposition (OR = 1.64; 95% C.I. = 1.54-1.76, p < .001) outcomes. 

The findings show that Black youth received disadvantaged court outcomes at 2 of the 3 stages, even after balancing both groups on a number of confounders. Black youth were treated harsher at intake and judicial disposition, but received leniency at adjudication compared with similarly situated Whites. 

These relationships were the most evident at the stage of judicial disposition. The findings impact both researchers' and policymakers' strategies to more fully understand the complex relationship between race and social control. 

They also reaffirm the noticeable role that selection bias can play in the research surrounding race differences in juvenile court outcomes, and highlight the importance of utilizing a more stringent statistical model to control for selection bias. 

Purchase full article at:   http://goo.gl/oXWsLT

 2016 Feb 1.




Wednesday, January 27, 2016

Understanding and Responding to the Needs of Commercially Sexually Exploited Youth

Commercial sexual exploitation of children (CSEC) is a critical human rights and public health issue that child psychiatrists and other mental health providers can play an important role in addressing. 

Although commercially sexually exploited youth often go unidentified by health providers, these youth may have frequent contact with health care, juvenile delinquency, and foster care systems, and therefore, likely interact with mental health providers who work in these settings. 

Although the data on commercially sexually exploited youth are limited, studies show that these youth are at high risk for medical and psychiatric problems and have challenging psychosocial histories, including having experienced childhood abuse, homelessness, and foster care placement. The exact numbers of commercially sexually exploited youth are unknown given the clandestine nature of the exploitation and underreporting. Experts suggest that the number of sexually exploited children in the United States may be growing. 

Understanding the risk factors for commercial sexual exploitation, the health and mental health implications, and treatment options can help improve detection and care for this underserved population.

Psychiatric interview: potential associated signs, mental health symptoms, and red flags for detecting commercially sexually exploited youth

Appearance and behavior
  • Youth is accompanied by an individual that appears controlling or does not want the youth to be interviewed alone
  • Youth displays a withdrawn, frightened, or guarded affect
  • Youth gives vague or changing demographic information
  • Youth appears intoxicated or impaired by substance use
  • Youth has evidence of branding or tattoos (including facial tattoos, gang-related tattoos)
  • Youth has evidence of physical injury (scars, burns, lacerations, fractures, traumatic brain injury)
  • Youth appears to be in poor physical health (evidence of skin infections, poor dentition, malnourishment)
  • Youth is carrying large amounts of money or expensive items that appear beyond the youth’s means
Social history
  • Youth has a history of homelessness (includes running away, being abandoned, or forced to leave home)
  • Youth has an older boyfriend and/or history of multiple sexual partners
  • Youth has a history of juvenile justice system involvement
  • Youth has a history of involvement with child welfare services (including living in a group home/foster care home)
  • Youth does not attend school or is frequently truant
Medical history
  • Youth has a history of pregnancy, abortion, ectopic pregnancies
  • Youth has a history of multiple sexually transmitted diseases, pelvic inflammatory disease
  • Youth has frequent emergency room visits (including for physical injuries, reproductive concerns, or sexually transmitted diseases)
Mental health symptoms
  • Youth has symptoms of depression
  • Youth is suicidal
  • Youth has symptoms of posttraumatic stress disorder, traumatic stress, and/or anxiety symptoms
  • Youth has symptoms of a substance use disorder
  • Youth has problems with anger
  • Youth has self-harming behaviors
  • Having these signs does not mean that a child is being commercially sexually exploited, and lack of these signs does not rule out that a child is being commercially sexually exploited.
Adapted from Greenbaum VJ. Commercial sexual exploitation and sex trafficking of children in the United States. Curr Probl Pediatr Adolesc Health Care 2014;44(9):245–69; with permission. Data fromRefs.,,,,

Below:  Ecological Framework for Contextualizing and Conceptualizing Commercial Sexual Exploitation of Children



Full article at:   http://goo.gl/P7PRRH

By:  Roya Ijadi-Maghsoodi, MD,a,b,* Mekeila Cook, PhD,c Elizabeth S. Barnert, MD, MPH, MS,d Shushanik Gaboian, MSW,eand Eraka Bath, MDf
aVA HSR&D Center for the Study of Healthcare Innovation, Implementation & Policy, VA Greater Los Angeles Healthcare System, 11301 Wilshire Boulevard, Building 500, Room 1601, Office of Healthcare, Transformation and Innovation, Mail Code 10–C, Los Angeles, CA 90073, USA
bDepartment of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA
cIntegrated Substance Abuse Programs, Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, 11075 Santa Monica Boulevard, Suite 100, Los Angeles, CA 90025, USA
dDepartment of Pediatrics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA
eDepartment of Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA 90095, USA
fChild Forensic Services, Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, 300 Medical Plaza, Room 1243, Los Angeles, CA 90095, USA
*Corresponding author. Email: ude.alcu.tendem@idooshgamidajir