Abstract
Adolescent behavior problems such as substance use, antisocial behavior problems, and mental health problems have extremely high social costs and lead to overburdened mental health and juvenile justice systems in the United States and Europe. The prevalence of these problems is substantial, and at-risk youth often present with a combination of concerns. An understanding of risk and protective factors at multiple levels, including the child, family, peer, school, and community, has influenced intervention development. At the individual and family levels, the most effective and cost-effective programs work intensively with youth and their families or use individual and group cognitive-behavioral approaches. However, there is a paucity of careful studies of effective policies and programs in the juvenile justice system. Research is needed that focuses on adoption, financing, implementation, and sustainable use of evidence-based programs in public service systems. In addition, the field needs to understand better for whom current programs are most effective to create the next generation of more effective and efficient programs.
Keywords: problem behavior, antisocial behavior, interventions, prevention, comorbidity
INTRODUCTION
Adolescence has long been recognized as the developmental period during which delinquent and criminal behaviors are most likely to emerge. Adolescent problem behaviors include high rates of antisocial behavior, delinquency, substance use, and other risky behaviors and, when they occur together, signal substantial risk for difficulties that continue into adulthood. Adolescence is known to be characterized by a greater rate of problem behaviors than are either prior or subsequent stages of development, which has led to intense interest in how multiple influences prior to and during adolescence impact variation in adolescent functioning (45).
Adolescence is a watershed period of development because it presents youth with both opportunities and challenges that can have lasting effects across the life span. Adolescence is characterized by rapid changes in biological, physical, psychological, and cognitive development (78, 79, 131). The biological and emotional changes increase youths’ vulnerability to emotional and behavioral disorders as indicated by the increased incidence of almost every form of mental/emotional disorder during adolescence (91). Furthermore, the growing independence of youth combined with the social/media and peer-related pressures increase teens’ involvement in health-compromising behaviors (87). How adolescents navigate these developmental changes is linked to adjustment in young adulthood and later life (27, 131). This article reviews the epidemiology, risk, and protective factors associated with adolescent problem behaviors and reviews the most promising interventions to reduce their impact.
THE EPIDEMIOLOGY OF YOUTH MENTAL AND BEHAVIORAL DISORDERS
The behavioral and emotional challenges associated with adolescence are of considerable public health concern. We discuss prevalence and trends for substance use, antisocial behavior, and mental disorders in the United States. Little careful epidemiological or longitudinal data exist on lower- and middle-income countries (17).
Prevalence and Trends
Substance use
In spite of recent declines in the rates of alcohol use, recent reports estimated that 50% of adolescents have been drunk by the time they finished high school, and 33% reported having had alcohol by eighth grade. Fifteen percent of eighth graders reported having been drunk (70). Johnston et al. also reported that 45% of youths had tried cigarettes by the time they were seniors in high school, and one out of five twelfth graders reported that they currently smoked. Additionally, 47% reported having tried an illicit drug by twelfth grade. National rates for substance use disorders for youth aged 13–18 are estimated at 11.4% (17).
Mental disorders
The rates of mental disorders increase in adolescence (3, 4): One in five adolescents reports mental health problems (73). A striking 50% of adult mental disorders have an onset during or before adolescence (10). National rates for behavioral disorders for youths aged 13–18 are estimated at 19.1% (91). Data also show substantial increases in the rates of anxiety and depression in US adolescents compared with previous generations (136). Two nationally representative samples show that more than 10% of youth report moderate-to-severe symptoms of depression (114) and 14% report any mood disorder (91). These problems in adolescence have been linked to adult criminality, substance use disorders, psychopathology (88, 108, 109), and morbidity in adult life (87).
Antisocial behavior and delinquency
Antisocial behavior problems in adolescence represent a major dilemma for American society. Homicide is the second leading cause of death for young people ages 10–24 years old; 86% of victims are male and 14% are female (18). In 2008, more than 656,000 young people ages 10–24 were treated in emergency departments for injuries sustained from violence (18). In a 2009 nationally representative study of youth in grades 9–12 (19), 31.5% reported being in a physical fight in the past year with almost twice as many males as females involved; 17.5% reported carrying a weapon (gun, knife, or club); and 19.9% reported being bullied on school property in the previous year with a slightly higher prevalence for females (21.2%) than males (18.7%). Furthermore, national statistics indicate that youth accounted for 16% of all violent-crime arrests in 2008 (106). Numerous longitudinal studies in the United States, Western Europe, and Australia have led to the consistent finding that antisocial and deviant behavior that emerges early in the life course tends to continue into childhood, adolescence, and adulthood (38, 44, 104).
Problem covariation
Although some youth have only one problem or concern such as substance abuse, conduct problems, depression, or anxiety, comorbidity of these problems indicates greater continuity of disorder and impact into adulthood. A substantial empirical literature on covariation of problems has supported the model of problem behaviors, first proposed by Jessor in 1977 (69). This model proposed that there was a syndrome of problem behaviors that were commensurate with the adoption of an unconventional, deviant lifestyle (68). Substantial evidence indicates that delinquent behaviors are highly correlated with early sexual debut and risky sexual behavior, academic failure, dropout, and violence in the United States as well as in other upper-income societies (94). Studies demonstrate that increases in one behavior are also linked to increases in others. For example, increases in alcohol use are related to increases in illegal drug use, delinquency, and academic problems (39). Similarly, early alcohol use and aggression show an interactive relationship; one behavior predicts increases in the second. Statistical modeling indicates that there is one overall higher-order factor for problem behavior that also has second-order subfactors for specific problems.
Although there are substantial relationships between risky behaviors, there is also substantial person-level variation; some youth show only transient and single concerns. However, other youth exhibit multiple problem behaviors (42). This variation is illustrated by the findings from the Pathways to Desistance study, which followed 1,300 serious juvenile offenders for 7 years after their first conviction. The findings indicate continuing relationships between substance use and offending into young adulthood; 35% of youth met Diagnostic and Statistical Manual of Mental Disorders (DSM-IV) criteria for drug or alcohol abuse/dependence at first arrest. Moreover, those with a substance use disorder had higher rates of delinquency and arrest (98).
Comorbidity and the key role of chronic antisocial behavior
Because of its pervasive effect on all aspects of society—it impacts family life, academic achievement and graduation rates, costs associated with criminality, and victims’ pain and suffering—chronic antisocial conduct problems in adolescence represent the greatest concern. In addition, chronic antisocial behavior also shows substantial comorbidity with both depression (57) and substance abuse (5). Conduct disorders account for the majority of referrals to outpatient child and adolescent mental health clinics (86) and placements in special education classes (72).
Although the age-crime curve for delinquency indicates that aggregate crime rates peak in the teenage years and then begin to decline (13, 45), some offenders continue serious and persistent antisocial behavior well beyond adolescence (20) and exhibit antisocial personality disorder in adulthood (74). Even though the base rates of adolescent delinquency and violence are high in adolescence, a small minority of persons perpetrate the great majority of violent acts. In the well-studied Philadelphia cohort of 2,845 boys born in 1958, study data estimated that ~4% of the population (16% of juvenile offenders) represent 51% of all police contacts (26).
The Costs of High-Risk Youth
Economic analyses have estimated the costs of high-risk youth, defined as those who regularly commit crimes, are violent to others, engage in heavy substance use, and are likely to drop out of high school. The present value of saving a single high-risk youth from a life of crime is estimated to be $2.6–$5.3 million at age 18, and such estimates are adjusted to account for the fact that the three categories of crime, drugs, and high school dropout are not mutually exclusive. Costs savings are higher if problems can be averted before adolescence because youth who pursue a lifetime of crime often begin offending prior to adolescence (43).
Because of the cumulative and increasing costs that arise from multiple arrests and the deepening of the offender process, early interventions that divert high-risk youth early in their criminal career are especially cost-effective. For example, the costs through age 26 for youth with one lifetime police contact are estimated to be $200,000; costs for youth with 2+ police contacts are estimated at 1.3 million; and costs for youth who are persistent offenders (i.e., those who have 15+ police contacts) are estimated between $3.6 and $5.8 million (26).
RISK AND PROTECTIVE FACTORS
Identification of risk and protective factors that may work together to influence the development of youth behavior problems has deepened our understanding of how to prevent complex adolescent health and behavior problems. The influence of risk and protective factors on development may be additive and/or interactive. Risk and protective factors can be best characterized into one of six domains: child, peer, family, demographic, school, and community/policy.
Child-Related Factors
A key risk factor for problem behavior is the child’s self-regulatory abilities (24, 55). Children who are characterized by poor behavioral regulation (the ability to control or regulate impulsive behaviors) and emotion regulation (ability to modulate high states of negative emotion) are at great risk for all forms of problem behavior, poor academic outcomes, and substance use problems (93). Poor regulation likely interacts with other risk factors (i.e., youth with poor regulation skills may be less equipped to resist peer pressure) (47).
These regulation difficulties have been linked to deficits or delays in the development of the executive functions of inhibitory control, working memory, and planning (110). Various theoretical models have conceptualized differences at the neural level for youth who have low regulation skills. These models have identified structural differences in subareas of the prefrontal cortex as well as functional explanations for how risk is conferred by individual differences in how youth process reward-related contingencies in cognitive processing (48, 107).
Peer-Related Factors
Deviant peer relationships, associating with other youth who engage in deviant behaviors (e.g., antisocial behavior, early substance use), is one of the strongest risk factors for problem behavior, especially delinquency (35, 95). Youth are more likely to use drugs and engage in delinquency if their peers are doing so (123). Research illustrates that deviant peer groups may engage in deviancy training, using humor and the exchange of stories to encourage and reinforce problem behavior (35). Although there has been considerable controversy regarding the impact of deviant peer groups in the treatment process (139, 140), some investigators believe risk for increased problem behavior is heightened when youth are treated in some group contexts or reside in group homes (22, 115). That is, if youth who exhibit problem behavior are treated together, it may increase their risk for additional problem behaviors.
The influence of peers begins prior to adolescence. Elementary-aged children who are aggressive and experience peer rejection are more likely to develop hostile attributions, to associate with other rejected children who provide few opportunities for positive social skill development, and to continue to progress toward problem behavior (37). Thus many youth who exhibit antisocial behaviors may have a history of deviant peer relationships that began prior to adolescence and that continues through the adolescent period.
Family-Related Factors
Substantial evidence indicates that parental warmth and caring influence adolescent problem behaviors. Low-quality parent-child relationships, poor communication of parental values and expectations, and parenting strategies, such as harsh discipline and low levels of parental monitoring, have been associated with antisocial behavior and early substance use (14, 24). In contrast, positive parent-child relationships, effective communication, healthy attachments, and an authoritative parenting style (e.g., high in warmth and effective discipline) can be protective factors (2, 12, 32).
Much of the effect of parenting occurs through its influence on other risk factors, particularly the development of regulation and the selection of friends who engage in problem behavior. Youth who experience insensitive, harsh parenting or those who are poorly monitored are less likely to develop effective emotional regulation strategies and more likely to form deviant peer relations (14, 34, 96). Some aspects of the parenting relationship may be the result of various aspects of genetic transmission (15). More importantly from an intervention standpoint, quality parenting in childhood and adolescence can reduce the potentiation of genetic risk and divert youth from risky trajectories (6).
Demographic Factors
Adolescents are also strongly influenced by the broader family context, including family income, family structure, and the quality of marital relationships. Poverty has been associated with greater rates of delinquency, school failure, and dropout (99). Some of the effects of poverty are mediated by stressful family circumstances that may result in less warmth and poor family management in low-income families (11, 90). Being raised in a single-parent home increases the likelihood of living in poverty and other risks, but the manner in which the custodial parent manages the family life may be as or more important than the family structure. Youth raised in homes with high rates of interparental conflict are also at increased risk for aggression, delinquency, and substance use (31).
School-Related Factors
Both school failure and low commitment to school increase the rate of antisocial behavior (44, 70). Students who feel more connected to their schools and cared for by teachers show higher academic motivation and earn higher grades. Students who feel more connected to their school are also less likely to engage in problem behavior, such as delinquency (59, 100).
Community Factors
Community characteristics have also been linked to substance use and delinquency. Yoshikawa et al. (143) have found associations between growing up in concentrated poverty and living in disadvantaged communities with low academic achievement, school dropout, and delinquency. High-crime neighborhoods may increase children’s exposure to violence and can be highly detrimental. Dodge & Pettit (38) link exposure to violence to increased risk of antisocial behavior. Other community characteristics, such as the availability of liquor stores and the enforcement of laws on selling liquor, have also been linked to substance use and delinquency. Youth whose communities provide easy access to obtain alcohol and other drugs and/or have permissive norms are at great risk (24, 25, 58).
Theories on Risk and Protective Factors
Risk factors often potentiate each other, and clear evidence shows that a greater number of risks predicts more antisocial behavior (94). Taking a developmental perspective, risk factors are likely to have a cascading influence: One risk factor in one domain often leads to risk in another domain (38). For example, a study of children in three US cities and one rural location found the following progression for both boys and girls: Early disadvantage predicted early harsh and inconsistent parenting, which predicted social and cognitive deficits, which led to elementary school social and academic failure, which predicted parental withdrawal from supervision and monitoring, which increased the likelihood of adolescent association with deviant peers, which predicted the ultimate outcome of serious violence in adolescence (37).
A central theoretical focus of research has been understanding the key role of parenting practices in a chain leading to antisocial behavior. Patterson and colleagues (103) outlined a cycle of coercive patterns, where ineffective parenting in early childhood exerts cumulative effects over time, leading to child aggression, peer rejection, and academic failure in middle school and peer deviance and delinquency in adolescence. Both social control theory (66) and the Seattle Social Development Model (16) suggest that youths’ bonds to their parents and prosocial institutions, such as schools, influence risky behaviors. Prosocial bonds that youth develop to parents, teachers, and other adults may act as informal controls that support the internalization of positive values and prosocial behavior. In contrast, students without prosocial bonds may develop stronger connections with deviant peers, may assume the values and norms of such peers, and are more likely to engage in risky behavior.
INTERVENTIONS THAT WORK
Over the past two decades, a number of interventions have been carefully tested to examine their effects on youth mental disorders, delinquency, and serious substance abuse. Here we highlight the most effective programs in the US context as well as a number of promising approaches. They focus on individual treatment/rehabilitation, family/ecological approaches, and policies and programs related to juvenile courts.
Cognitive-Behavioral Treatments
Cognitive behavior therapies (CBTs) have been widely used as a primary therapeutic model in both individual and group treatment of adolescents with aggression, substance use disorders, delinquency, and comorbid conditions. CBT encompasses a variety of methods aimed at present-focused, goal-directed behavior change. CBT focuses on correcting dysfunctional thinking and behaviors associated with various problem behaviors (75).
Meta-analyses of CBT programs have shown effectiveness in reducing recidivism rates (75, 139). Analyses for juvenile offenders showed greater effect sizes with higher-risk offender populations and when programs incorporated anger control and interpersonal problem-solving components. One brand-name program example is Aggression Replacement Therapy (ART), which is a ten-week intervention that includes training in social skills, controlling anger, and moral reasoning. ART has shown effects on aggression, delinquency, and recidivism (51). Other promising models include Dialectical Behavior Therapy, which combines cognitive therapy with modules on mindfulness, distress tolerance, and emotional regulation and CBT models focusing on child trauma, although there is still little quality outcome data on the effectiveness of these approaches (92). A meta-analysis indicated that CBT is effective for substance use problems in teens (139).
Family-Based Programs
With logic models based on the risk and protective factors discussed above, family-based interventions have been identified as effective approaches to addressing youth substance use and delinquency and improving academic outcomes (82, 139).
The Family Check Up
The Family Check Up (FCU) is part of an adaptive tiered intervention called the Adolescent Transitions Program (ATP), which is delivered in middle schools. ATP includes both a universal intervention, which involves a family resource center that provides brief consultations and general information on parenting, as well as a more targeted intervention. Youth identified as at risk for problem behavior are offered the FCU, which includes three sessions of child and family assessments and a feedback session. The FCU aims to help families identify strategies for change and to motivate them to improve parenting skills such as communication, encouragement, and parental involvement/quality time. After receiving feedback, families who require additional services are offered them (36).
Compared with youth in a randomized control group, youth receiving FCU had lower rates of increases in substance use, antisocial behavior, and deviant peer friendships and showed improved academic outcomes in both the middle-school and high-school periods (28, 132, 137). FCU youth also had fewer arrests during high school (29). Improvements in parenting significantly mediate the outcomes of risky behavior via higher parental monitoring and reductions in family conflict (33, 137). Studies also suggest that program effects on antisocial behavior may be mediated by reductions in deviant peer relationships (137).
Functional Family Therapy
Functional Family Therapy (FFT) is a selective and indicated intervention that focuses on changing interactions in the family and has demonstrated efficacy for reducing delinquency and substance use. It has three phases of treatment—engagement/motivation, behavior change, and goal-skills—which last, on average, three months (125). Originally tested through randomized trials of juvenile justice–involved youth, FFT has been associated with reductions in the number of arrests and recidivism when compared with community services or traditional probation (71). Early studies found that 26% of youth in FFT were rearrested, compared with 47%–73% of those receiving other types of treatment or no treatment (1, 71). FFT has also shown some effects for marijuana use among substance-using adolescents (138, 139). Researchers have also linked FFT to reductions in family negativity and blame (125, 126).
The effects of FFT on delinquency have been smaller, albeit still significant when implemented under real-world conditions (52, 53). Therapist adherence is critical for effects to be seen, and when treatment fidelity is low, no significant effects are found (124).
Multisystemic Therapy
Multisystemic Therapy (MST) is designed for youth at risk of out-of-home placement. The MST model focuses intensive intervention to change the youth’s ecology: individual, family, peer, school, and marital risk factors. MST is organized by nine principles and lasts ~3–5 months, and therapists are “on call 24/7” (64). MST has a strong research base demonstrating its effects in 18 randomized controlled trials (65). Program effects include long-term reductions in rearrest, severity of crimes committed, reduced risk of out-of-home placement, and improvements in academic outcomes (64, 65). Studies have found intervention effects on delinquency that persist into adulthood: Youth receiving individual therapy were 4 times more likely to be rearrested and nearly 3 times more likely to be arrested for a violent offense than were MST-treated youth up to 14 years after the intervention (119, 120). Some evidence also indicates that MST may have effects on substance use (63, 65). MST has been adapted for families with a history of maltreatment, and participants have shown lower rates of youth mental health problems, parental distress, and placement changes 16 months posttreatment, but investigators did not find program effects on reports of reabuse (134). As with other family programs, MST’s effects on antisocial behavior were mediated by improvements in parental management and reduced associations with delinquent peers (61, 65).
MST has also been shown to be effective when implemented in real-world conditions. Independent replications by Ogden et al. (101) and Timmons-Mitchell found significant, albeit smaller, effects (101, 135), although one replication in Sweden showed no program effects among youth with conduct disorders (133). As with FFT, treatment adherence is essential for outcomes, and low fidelity has been linked to fewer program effects (67, 101, 133).
Multidimensional Family Therapy
Multidimensional Family Therapy (MDFT) is a three-stage program based on the principles of family systems theory (30). MDFT aims to improve parenting skills as well as youth social, coping, and regulation skills, while also addressing issues in the broader family system and youth interactions in other areas such as the peer and school settings (82). Randomized efficacy trials have shown that MDFT is associated with reductions in adolescent substance use, delinquency, and associations with deviant peers and with improvements in classroom behavior and family functioning compared with youth receiving group therapy (85). A comparative effectiveness study found that MDFT and CBT both have significant initial effects on reducing marijuana and alcohol use. However, at 12-month follow-up, youth receiving MDFT were more likely to sustain lower ratings of problem severity and higher rates of abstinence than were youth receiving CBT (83). Some evidence also indicates that MDFT may be more effective than other services for youth who have a higher severity of problems and greater comorbidity (60). Effectiveness trials have also shown program effects. When implemented in community agencies, youth receiving MDFT reported lower substance use, delinquency, and distress than did youth in a group intervention. Furthermore, the program demonstrated significant effects on theorized risk factors, including fewer deviant peer associations, increased positive family interactions, and improved academic outcomes (84).
Brief Strategic Family Therapy
Brief Strategic Family Therapy (BSFT) aims to improve family functioning and strengthen the connections between the family and other systems, such as schools. Similar to FFT and MST, BSFT aims to change family-interaction patterns by using planned, strategic, and problem-focused interventions. Efficacy studies show that youth receiving BSFT had lower posttreatment levels of marijuana use and delinquency and improved parent reports of family functioning than did those in a control group (116, 117). However, results for substance use have been mixed (112). Greater adherence to the program model was associated with improved client outcomes (111). BSFT has not received an independent evaluation and currently would be considered promising (65).
Multidimensional Treatment Foster Care
Multidimensional Treatment Foster Care (MTFC) is an indicated program that delivers intensive services to youth already exhibiting early signs of behavior problems. The program delivers intensive services to youth within trained foster homes. Foster parents are given 20 h of preservice training, are supervised during weekly group meetings and daily phone calls, and have 24/7 access to case-manager consultation. MTFC focuses on providing constant youth supervision and monitoring and rewarding positive behaviors (41).
MTFC has been rigorously evaluated in several randomized controlled trials and has shown significant effects on delinquency, academic outcomes, and teenage pregnancy rates. MTFC appears to be effective for both girls and boys. For girls, MTFC was associated with improvements in school attendance and reductions in delinquency, teenage pregnancy, the number of days in locked settings, and the number of criminal referrals up to two years after the intervention (22, 81). For boys, MTFC has been associated with lower rates of delinquency, violent offending, and criminal referrals compared with those in group care (40, 41). Effects of MTFC on delinquency have been mediated by improved parent management and reduced association with deviant peers (23, 40, 80). A less intensive version of MTFC known as KEEP (Keeping Foster Parents Trained and Supported) was tested in a randomized trial in San Diego. Youth in the KEEP program demonstrated fewer behavior problems than did those in the control group (23).
Meta-analysis and comparative effectiveness
Family-based programs have been effective as well as cost-effective. A meta-analysis that synthesized 17 different intervention studies including CBT and family therapy programs found that CBT and family programs have significant but modest effects on youth outcomes (average prepost effect was 0.45 for treatment conditions compared with 0.20 for the control group) (139). These effects may be smaller when compared with usual services: A meta-analysis that combined 24 studies on family-based interventions found an average effect size of 0.2 when family-based interventions were compared with usual treatment (7, 139). At present, little evidence shows that any one of these brand-name programs is more effective than others (7, 139). The field clearly needs studies that assess comparative effectiveness.
Court-Based Programs
Numerous program and policy initiatives in the juvenile court system have sought to reduce youth delinquency and reoffending. These include restorative justice, adolescent diversion programs, and changes in adjudication and sentencing (46).
Restorative justice
The goal of restorative justice is to increase the involvement of criminal offenders with the victims of their crime and the greater community. The offender voluntarily meets with the victim to discuss the crime and to determine ways to repair the harm. In spite of growing popularity, there has been little rigorous independent evaluation of restorative justice programs, and little is known about their effects over time. A systematic review concluded that restorative justice is a promising approach for both adults and youth (76). However, restorative justice may reduce rates of recidivism only for more serious juvenile crimes and not for misdemeanors or offenses such as drunk driving (128). It should be noted that most evaluations did not include true randomization, and the program’s voluntary nature may introduce selection bias that presents an obstacle to obtaining reliable estimates of program effects because offenders may refuse to participate in the programs (76). Thus, restorative justice may have greater impact on high-risk youth who commit more serious offenses. More research is needed on the long-term impacts of restorative justice on the victims and on reoffending (9).
Adolescent Diversion Program
Other programs, such as the Adolescent Diversion Program (ADP), suggest that contact with the juvenile justice system may increase the risk of future crime. This type of program diverts youth from the justice system and instead provides them with community-based services. Program developers theorize that youth contact with the juvenile justice system may increase the likelihood that youth are negatively labeled, thereby making it more difficult for them to develop prosocial relationships with peers and other adults. Randomized trials of the ADP suggest that youth in the ADP who are diverted from the justice system and are instead provided with community-based services are less likely to have future contact with the police and courts (129).
Residential treatment programs
A number of systematic reviews have examined the effects of various forms of residential treatment for sentenced youth, including intensive wilderness programs. Although the reviews’ assessments of program effectiveness differed—some programs showed positive effects and others showed no effects or negative effects (89)— considerable evidence suggests that greater therapeutic time and higher-quality treatment are associated with stronger positive effects (142). In contrast, boot camps did not show positive effects as compared with effects from traditional detention centers for sentenced youth (141). Thus, one could conclude that rehabilitation-focused programs are more effective than programs relying on sanctions and punishment. The Pathways to Desistance study indicated that neither institutional placement of high-end offenders nor length of sentence were related to recidivism (97). However, youth who received substance abuse treatment for at least 90 days were less likely to reoffend (24).
A fundamental difference between punishment and rehabilitation-focused programs is that rehabilitation-focused programs focus on the process of cognitive change. Programs using some form of CBT that successfully transform the individuals’ cognitions about themselves, their past behavior, and their attitudes toward the future appear to increase the odds that youth will avoid potential risky situations in the future as well as take advantage of potential positive opportunities (89).
Cost-Benefit of Interventions
Given that the actions of high-risk youth incur very high costs to society and victims, investigators have conducted substantial research on the potential economic savings of programs. Studies that use cost-benefit analysis explore how programs may offer savings to the criminal justice system, reductions in crime, labor market gains, and increases in the likelihood of high school graduation.
The Washington State Institute for Public Policy has conducted the most extensive analysis of the economic benefits for evidence-based programs (77). A recent report suggests that the cost savings for Aggression Replacement Therapy (ART), Functional Family Therapy (FFT), Multisystemic Therapy (MST), and Multidimensional Treatment Foster Care (MTFC) are substantial. The benefits of these programs range from $31,249 to $70,370 per program participant from savings related to criminal justice, employment, mental health, and crime victim costs. For youth on probation, every dollar spent on FFT leads to a benefit of $10.43, and every dollar spent on ART leads to a benefit of $20.70. The benefit-to-cost ratio for MST is $4.36 and for MTFC is $4.95. These analyses suggest that programs have positive effects not only for youth participants but also for the general taxpayer, as well. We need further economic analysis on other programs that have shown reductions in risky outcomes.
RESEARCH NEEDS AND LIMITATIONS
Type 2 Translational Research
Despite the growing proof that evidence-based programs can reduce the serious and costly problems of high-risk youth, these programs remain underutilized in practice. In contrast, the vast majority of programs used in mental health, child welfare, education, and juvenile justice systems are not evidence based (99, 130). The field of type 2 translational research aims to fill this gap by understanding how factors related to the dissemination, adoption, implementation, and sustainability of evidence-based programs influence their ongoing use in public service systems. This focus includes understanding the necessary organizational and managerial infrastructure as well as how financial factors and policies can influence uptake and sustained use (130).
Interventions are most effective when they are implemented with a high level of treatment fidelity, including adherence to the program model and sufficient dosage (130). In fact, evidence-based programs implemented with low fidelity may have small or no impacts on youth outcomes (8, 62, 63). The importance of fidelity has led program developers to create training and technical assistance programs to aid in the dissemination and implementation of their programs (21, 122, 127). Yet, studies have not identified the cost of the intensive training necessary to reach fidelity as a barrier to adoption (102, 105, 121). Having a local champion and the use of innovative funding strategies (such as third-party payment or coordinated funding provided by multiple sources) have been linked to higher-quality implementation and sustainability of interventions (113, 118). More research is needed to identify the most effective models for intervention financing, training, and technical assistance.
Staff turnover is high in many social service agencies (21), and high turnover can be a barrier to the successful implementation of interventions (54). Some recent studies suggest that the ARC model (availability, responsiveness, and continuity), an organizational intervention designed to identify and address implementation barriers and improve workplace culture and climate, can substantially reduce worker turnover in social service agencies (49). Furthermore, integrating the ARC model with MST has shown particularly strong effects on youth outcomes. In a recent randomized trial of youth referred to the juvenile court system, youth assigned to both MST and ARC had lower problem behavior than did those assigned to just one intervention or to usual services six months after treatment. Eighteen months after treatment, youth receiving both ARC and MST had lower rates of out-of-home placements than did those receiving usual services (50). More research is needed on how to infuse effective interventions into existing service systems.
Productive Efficiency: Identifying Effective Components
To deliver the most effective programs as efficiently as possible, new studies will be needed that focus on productive efficiency. Although productive efficiency can be conceptualized in different ways, here we define it as obtaining maximum possible outcomes from the most economical set of resource inputs (i.e., treatment model). By using comparative-effectiveness designs that examine either different options or delivery strategies of a particular program, or by contrasting two differing programs, investigators can estimate the differential costs of programs or effects of varying program lengths or intensity using incremental cost-effectiveness ratios (56). However, it will be important to examine the numerous outcomes that might be obtained for high-risk youth and to estimate these ratios over time (at least one to two years after intervention ends) to estimate valid differential cost estimates and savings.
Comorbidity and Differential Effectiveness
Although some research has examined the question of differential effectiveness of interventions for problem behavior by gender, race, or other pretreatment characteristics such as family status, urbanicity, degree, and comorbidity, there is a paucity of research on which factors (moderators) may lead to differential responses to treatment. As these programs further enter public systems and have substantially larger sample sizes, careful research on differential effectiveness for children with different characteristics, needs, and ecological circumstances will be necessary to understand further who derives the most effective benefits from programs and how to modify programs to improve their effectiveness for particular subgroups of youth and their families.
CONCLUSIONS
Adolescent problem behaviors, such as delinquency, substance use, and mental health problems, frequently co-occur, and youth who demonstrate more than one risky behavior face a high probability for difficulties into adulthood. Interventions have been developed to address risk and protective factors at the individual, family, peer, school, and community levels. Family-based and individual cognitive behavioral interventions appear to be the most effective programs for reducing risk. More research is needed to understand the adoption, implementation, and sustainability of evidence-based interventions. In addition, we need to understand better for whom current programs are most effective to create the next generation of more effective and efficient programs.
ACKNOWLEDGMENTS
Work on this paper was supported by research grant F31-DA028047 from the National Institute on Drug Abuse. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institute on Drug Abuse or the National Institutes of Health.
ABBREVATIONS
- Risk factor
a variable associated with an increased probability of developing a problem
- Protective factor
a variable associated with a decreased probability of developing a problem
- Comorbidity
the presence of more than one problem behavior or disorder
- Chronic antisocial behavior
recurrent aggressive behaviors that lead to injury to others, abuse, or arrest
- Age-crime curve
bell-shaped pattern of criminal behavior over time; criminal behavior increases and peaks during adolescence and then declines in young adulthood and beyond
- Deviant peer relationships
friendships with youth who engage in behaviors that deviate from societal standards, such as delinquency, illegal substance use, or other antisocial behaviors
- Cognitive behavior therapy (CBT)
aims to change behavior by identifying dysfunctional thinking patterns and replacing them with more adaptive thoughts
- Universal intervention
prevention program that targets the general population without consideration of individual risk factors
- FFT
Functional Family Therapy
- Treatment fidelity
extent to which an intervention is delivered with high adherence to the program manual or model
- MST
Multisystemic Therapy
- BSFT
Brief Strategic Family Therapy
- MTFC
Multidimensional Treatment Foster Care
- Indicated intervention
prevention program that targets individuals at high risk of developing problem behaviors and who may be demonstrating early signs of developing problems
- Cost-benefit analysis
the systematic process for calculating and comparing the benefits and costs of a program
- Type 2 translational research
the study of factors that influence the adoption, implementation, and sustainability of evidence-based interventions
- Evidence-based program
has demonstrated efficacy or effectiveness through randomized controlled trials
- Differential effectiveness
the extent to which a treatment has the same effects on different study populations
Footnotes
DISCLOSURE STATEMENT
Dr. Greenberg is an author of the PATHS® Curriculum and has a royalty agreement with Channing-Bete, Inc. Dr. Greenberg is a principal in PATHS™ Training, LLC.
Contributor Information
Mark T. Greenberg, Email: mxg47@psu.edu.
Melissa A. Lippold, Email: mal394@psu.edu.
LITERATURE CITED
- 1.Alexander JF, Parsons BV. Short-term behavioral intervention with delinquent families: impact on family process and recidivism. J. Abnorm. Psychol. 1973;81:219–25. doi: 10.1037/h0034537. [DOI] [PubMed] [Google Scholar]
- 2.Allen JP, Marsh P, McFarland C, McElhaney KB, Land DJ, et al. Attachment and autonomy as predictors of the development of social skills and delinquency during midadolescence. Child Dev. 2002;70:56–66. doi: 10.1037//0022-006X.70.1.56. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Angold A, Costello EJ, Worthman CM. Puberty and depression: the roles of age, pubertal status and pubertal timing. Psychol. Methods. 1998;28:51–61. doi: 10.1017/s003329179700593x. [DOI] [PubMed] [Google Scholar]
- 4.Angold A, Rutter M. Effects of age and pubertal status on depression in a large clinical sample. Dev. Psychopathol. 1992;4:5–28. [Google Scholar]
- 5.Armstrong TD, Costello EJ. Community studies on adolescent substance use, abuse, or dependence and psychiatric comorbidity. J. Consult. Clin. Psychol. 2002;70:1224–1239. doi: 10.1037//0022-006x.70.6.1224. [DOI] [PubMed] [Google Scholar]
- 6.Bakermans-Kranenburg MJ, van Ijzendoorn MH. Differential susceptibility to rearing environment depending on dopamine-related genes: new evidence and a meta-analysis. Dev. Psychopathol. 2011;23:39–52. doi: 10.1017/S0954579410000635. [DOI] [PubMed] [Google Scholar]
- 7.Baldwin SA, Christian S, Berkeljon A, Shadish WR. The effects of family therapies for adolescent delinquency and substance abuse: a meta-analysis. J. Marital Fam. Ther. 2012;38:281–304. doi: 10.1111/j.1752-0606.2011.00248.x. [DOI] [PubMed] [Google Scholar]
- 8.Barnoski R. Providing Evidence-Based Programs With Fidelity in Washington State Juvenile Courts: Cost Analysis. Olympia, WA: Wash. State Inst. Public Policy; 2009. Doc. 09-12-1201. [Google Scholar]
- 9.Bazemore G. Restoration, shame and the future of restorative practice in U.S. juvenile justice. 2011:695–722. See Ref. 46. [Google Scholar]
- 10.Belfer ML. Child and adolescent mental disorders: the magnitude of the problem across the globe. J. Child Psychol. Psychiatry. 2008;49:226–236. doi: 10.1111/j.1469-7610.2007.01855.x. [DOI] [PubMed] [Google Scholar]
- 11.Blum RW, Beuhring T, Shew ML, Bearinger LH, Sieving RE, Resnick MD. The effects of race/ethnicity, income, and family structure on adolescent risk behaviors. Am. J. Public Health. 2000;90:1879–1884. doi: 10.2105/ajph.90.12.1879. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Bornstein MH. Parenting science and practice. In: Renninger KA, Sigel IE, Damon W, Lerner RM, editors. Handbook of Child Psychology. 6th ed. Vol. 4. Hoboken, NJ: John Wiley; 2006. pp. 893–949. [Google Scholar]
- 13.Brandt DE. Delinquency, Development, and Social Policy. New Haven, CT: Yale Univ. Press; 2006. p. 164. xvii. [Google Scholar]
- 14.Brody GH, Ge X. Linking parenting processes and self-regulation to psychological functioning and alcohol use during early adolescence. J. Fam. Psychol. 2001;15:82–94. doi: 10.1037//0893-3200.15.1.82. [DOI] [PubMed] [Google Scholar]
- 15.Burt SA. Rethinking environmental contributions to child and adolescent psychopathology: a meta-analysis of shared environmental influences. Psychol. Bull. 2009;135:608–637. doi: 10.1037/a0015702. [DOI] [PubMed] [Google Scholar]
- 16.Catalano R, Hawkins D. Social development model: a theory of antisocial behavior. In: Hawkins JD, editor. Delinquency and Crime: Current Theories. New York: Cambridge Univ. Press; 1996. pp. 149–197. [Google Scholar]
- 17.Catalano RF, Fagan AA, Gavin LE, Greenberg MT, Irwin CE, Jr., et al. Worldwide application of the prevention science in adolescent health. Lancet. 2012;379:1653–1664. doi: 10.1016/S0140-6736(12)60238-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Cent. Dis. Control Prev. (CDC) Web-based Injury Statistics Query and Reporting System (WISQARS) Atlanta, GA: Natl. Cent. Injury Prev. Control, CDC; 2010. http://www.cdc.gov/injury/wisqars/index.html. [Google Scholar]
- 19.Cent. Dis. Control Prev. (CDC) Youth risk behavior surveillance—United States 2009. MMWR. 2010;59(SS05):1–142. [PubMed] [Google Scholar]
- 20.Cernkovich SA, Giordano PC. Stability and change in antisocial behaviour: the transition from adolescence to early adulthood. Criminology. 2001;39:371–410. [Google Scholar]
- 21.Chamberlain P, Fisher PA. Some challenges of implementing science-based interventions in the “real world”. In: Chamberlain P, editor. Treating Chronic Juvenile Offenders: Advances Made Through the Oregon Multidimensional Treatment Foster Care Model. Washington, DC: Am. Psychol. Assoc; 2003. pp. 141–149. 186 PP. [Google Scholar]
- 22.Chamberlain P, Leve LD, Degarmo DS. Multidimensional treatment foster care for girls in the juvenile justice system: 2-year follow-up of a randomized clinical trial. J. Consult. Clin. Psychol. 2007;75:187–193. doi: 10.1037/0022-006X.75.1.187. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Chamberlain P, Price J, Leve LD, Laurent H, Landsverk JA, Reid JB. Prevention of behavior problems for children in foster care: outcomes and mediation effects. Prev. Sci. 2008;9:17–27. doi: 10.1007/s11121-007-0080-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Chassin L, Hussong A, Beltran I. Adolescent substance use. 2009:723–763. See Ref. 78. [Google Scholar]
- 25.Chilenski SM. From the macro to the micro: a geographic examination of the community context and early adolescent problem behaviors. Am. J. Community Psychol. 2011;48:352–364. doi: 10.1007/s10464-011-9428-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Cohen MA, Piquero AR. New evidence on the monetary value of saving a high risk youth. J. Quant. Criminol. 2009;25:25–49. [Google Scholar]
- 27.Compas BE, Hinden BR, Gerhardt CA. Adolescent development: pathways and processes of risk and resilience. Annu. Rev. Psychol. 1995;46:265–293. doi: 10.1146/annurev.ps.46.020195.001405. [DOI] [PubMed] [Google Scholar]
- 28.Connell AM, Dishion TJ, Deater-Deckard K. Variable- and person-centered approaches to the analysis of early adolescent substance use: linking peer, family, and intervention effects with developmental trajectories. Merrill-Palmer Q. 2006;52:421–448. [Google Scholar]
- 29.Connell AM, Dishion TJ, Yasui M, Kavanagh K. An adaptive approach to family intervention: linking engagement in family-centered intervention to reductions in adolescent problem behavior. J. Consult. Clin. Psychol. 2007;75:568–579. doi: 10.1037/0022-006X.75.4.568. [DOI] [PubMed] [Google Scholar]
- 30.Cox MJ, Paley B. Families as systems. Annu. Rev. Psychol. 1997;48:243–267. doi: 10.1146/annurev.psych.48.1.243. [DOI] [PubMed] [Google Scholar]
- 31.Davies PT, Lindsay LL. Interparental conflict and adolescent adjustment: Why does gender moderate early adolescent vulnerability? J. Fam. Psychol. 2004;18:160–170. doi: 10.1037/0893-3200.18.1.160. [DOI] [PubMed] [Google Scholar]
- 32.DeKlyen M, Greenberg MT. Attachment and psychopathology in childhood. In: Cassidy J, Shaver PR, editors. Handbook of Attachment: Theory, Research, and Clinical Applications. 2nd ed. New York: Guilford; 2008. pp. 637–665. [Google Scholar]
- 33.Dishion TJ, Kavanagh K. Intervening in Adolescent Problem Behavior: A Family-Centered Approach. New York: Guilford Press; 2003. p. 243. [Google Scholar]
- 34.Dishion TJ, Nelson SE, Bullock BM. Premature adolescent autonomy: parent disengagement and deviant peer process in the amplification of problem behaviour. J. Adolesc. 2004;27:515–530. doi: 10.1016/j.adolescence.2004.06.005. [DOI] [PubMed] [Google Scholar]
- 35.Dishion TJ, Piehler TF, Myers MW. Dynamics and ecology of adolescent peer influence. In: Prinstein MJ, Dodge KA, editors. Understanding Peer Influence in Children and Adolescents. New York: Guilford; 2008. pp. 72–93. [Google Scholar]
- 36.Dishion TJ, Stormshak EA. Intervening in Childrens Lives: An Ecological, Family-Centered Approach to Mental Health Care. Washington, DC: Am. Psychol. Assoc; 2006. p. 319. [Google Scholar]
- 37.Dodge KA, Greenberg MT, Malone PS Conduct Problems Prev. Res. Group. Testing an idealized dynamic cascade model of the development of serious violence in adolescence. Child Dev. 2008;79:1907–1927. doi: 10.1111/j.1467-8624.2008.01233.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Dodge KA, Pettit GS. A biopsychosocial model of the development of chronic conduct problems in adolescence. Dev. Psychol. 2003;39:349–371. doi: 10.1037//0012-1649.39.2.349. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Duncan SC, Duncan TE, Strycker LA. Risk and protective factors influencing adolescent problem behavior: a multivariate latent growth curve analysis. Ann. Behav. Med. 2000;22:103–109. doi: 10.1007/BF02895772. [DOI] [PubMed] [Google Scholar]
- 40.Eddy JM, Chamberlain P. Family management and deviant peer association as mediators of the impact of treatment condition on youth antisocial behavior. J. Consult. Clin. Psychol. 2000;68:857–863. doi: 10.1037/0022-006X.68.5.857. [DOI] [PubMed] [Google Scholar]
- 41.Eddy JM, Whaley RB, Chamberlain P. The prevention of violent behavior by chronic and serious male juvenile offenders: a 2-year follow-up of a randomized clinical trial. J. Emot. Behav. Disord. 2004;12:2–8. [Google Scholar]
- 42.Elliott DS, Huizinga D, Menard S. Multiple Problem Youth: Delinquency, Substance Use, and Mental Health Problems. New York: Springer-Verlag; 1989. p. 272. [Google Scholar]
- 43.Farrington DP. Developmental and life-course criminology: key theoretical and empirical issues— the 2002 Sutherland award address. Criminology. 2003;41:221–225. [Google Scholar]
- 44.Farrington DP. Conduct disorder, aggression, and delinquency. 2009:683–722. See Ref. 78. [Google Scholar]
- 45.Farrington DP, Welsh BC. Saving Children From A Life of Crime: Early Risk Factors and Effective Interventions. New York: Oxford Univ. Press; 2008. p. 248. [Google Scholar]
- 46.Feld BC, Bishop DM, editors. The Oxford Handbook of Juvenile Crime and Juvenile Justice. New York: Oxford Univ. Press; 2011. [Google Scholar]
- 47.Gardner TW, Dishion TJ, Connell AM. Adolescent self-regulation as resilience: resistance to antisocial behavior within the deviant peer context. J. Abnorm. Child Psychol. 2008;36:273–284. doi: 10.1007/s10802-007-9176-6. [DOI] [PubMed] [Google Scholar]
- 48.Gatzke-Kopp LM. The canary in the coalmine: the sensitivity of mesolimbic dopamine to environmental adversity during development. Neurosci. Biobehav. Rev. 2011;35:794–803. doi: 10.1016/j.neubiorev.2010.09.013. [DOI] [PubMed] [Google Scholar]
- 49.Glisson C, Dukes D, Green P. The effects of the ARC organizational intervention on caseworker turnover, climate, and culture in children’s service systems. Child Abuse Negl. 2006;30:855–880. doi: 10.1016/j.chiabu.2005.12.010. [DOI] [PubMed] [Google Scholar]
- 50.Glisson C, Schoenwald SK, Hemmelgarn A, Green P, Dukes D, et al. Randomized trial of MST and ARC in a two-level evidence-based treatment implementation strategy. J. Consult. Clin. Psychol. 2010;78:537–550. doi: 10.1037/a0019160. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Goldstein AP, Glick B, Gibbs JC. Aggression Replacement Training: A Comprehensive Intervention for Aggressive Youth. Champaign, IL: Research; 1998. p. 356. [Google Scholar]
- 52.Gordon DA, Arbuthnot J, Gustafson KE, McGreen P. Home-based behavioral-systems family therapy with disadvantaged juvenile delinquents. Am. J. Fam. Ther. 1988;16:243–255. [Google Scholar]
- 53.Gordon DA, Graves K, Arbuthnot J. The effects of functional family therapy for delinquents on adult criminal behavior. Crim. Justice Behav. 1995;22:60–73. [Google Scholar]
- 54.Gottfredson DC, Kumpfer KL, Fox DP, Wilson D, Puryear V, et al. The Strengthening Washington D.C. Families Project: a randomized effectiveness trial of family-based prevention. Prev. Sci. 2006;7:57–74. doi: 10.1007/s11121-005-0017-y. [DOI] [PubMed] [Google Scholar]
- 55.Greenberg MT, Kusche CA, Speltz M. Emotional regulation, self-control, and psychopathology: the role of relationships in early childhood. In: Cicchetti D, Toth SL, editors. Internalizing and Externalizing Expressions of Dysfunction. Hillsdale, NJ: Lawrence Erlbaum; 1991. pp. 21–55. [Google Scholar]
- 56.Haddix AC, Teutsch SM, Corso PS, editors. Prevention Effectiveness: A Guide to Decision Analysis and Economic Evaluation. 2nd ed. New York: Oxford Univ. Press; 2002. [Google Scholar]
- 57.Harrington R, Fudge H, Rutter M, Pickles A, Hill J, et al. Adult outcomes of childhood and adolescent depression: II. Links with antisocial disorders. J. Am. Acad. Child Adolesc. Psychiatry. 1991;30:434–439. doi: 10.1097/00004583-199105000-00013. [DOI] [PubMed] [Google Scholar]
- 58.Hawkins JD, Catalano RF, Miller JY. Risk and protective factors for alcohol and other drug problems in adolescence and early adulthood: implications for substance abuse prevention. Psychol. Bull. 1992;112:64–105. doi: 10.1037/0033-2909.112.1.64. [DOI] [PubMed] [Google Scholar]
- 59.Hawkins JD, Guo J, Hill KG, Battin-Pearson S, Abbott RD. Long-term effects of the Seattle Social Development Intervention on school bonding trajectories. Appl. Dev. Sci. 2001;5:225–236. doi: 10.1207/S1532480XADS0504_04. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Henderson CE, Dakof GA, Greenbaum PE, Liddle HA. Effectiveness of multidimensional family therapy with higher severity substance-abusing adolescents: report from two randomized controlled trials. J. Consult. Clin. Psychol. 2010;78:885–897. doi: 10.1037/a0020620. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Henggeler SW, Letourneau EJ, Chapman JE, Borduin CM, Schewe PA, McCart MR. Mediators of change for multisystemic therapy with juvenile sexual offenders. J. Consult. Clin. Psychol. 2009;77:451–462. doi: 10.1037/a0013971. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Henggeler SW, Melton GB, Brondino MJ, Scherer DG, Hanley JH. Multisystemic therapy with violent and chronic juvenile offenders and their families: the role of treatment fidelity in successful dissemination. J. Consult. Clin. Psychol. 1997;65:821–833. doi: 10.1037//0022-006x.65.5.821. [DOI] [PubMed] [Google Scholar]
- 63.Henggeler SW, Pickrel SG, Brondino MJ. Multisystemic treatment of substance-abusing and dependent delinquents: outcomes, treatment fidelity, and transportability. Ment. Health Serv. Res. 1999;1:171–184. doi: 10.1023/a:1022373813261. [DOI] [PubMed] [Google Scholar]
- 64.Henggeler SW, Cunningham PB, Schoenwald SK, Borduin CM, Rowland MD. Multisystemic Therapy for Antisocial Behavior in Children and Adolescents. New York: Guilford; 2009. p. 324. xi. [Google Scholar]
- 65.Henggeler SW, Sheidow AJ. Empirically supported family-based treatments for conduct disorder and delinquency in adolescents. J. Marital Fam. Ther. 2012;38:30–58. doi: 10.1111/j.1752-0606.2011.00244.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Hirschi T. Causes of Delinquency. Piscataway, NJ: Transaction; 2001. p. 309. [Google Scholar]
- 67.Huey SJ, Henggeler SW, Brondino MJ, Pickrel SG. Mechanisms of change in multisystemic therapy: reducing delinquent behavior through therapist adherence and improved family and peer functioning. J. Consult. Clin. Psychol. 2000;68:451–467. [PubMed] [Google Scholar]
- 68.Jessor R. Problem-behavior theory, psychosocial development, and adolescent problem drinking. Br. J. Addict. 1987;82:331–342. doi: 10.1111/j.1360-0443.1987.tb01490.x. [DOI] [PubMed] [Google Scholar]
- 69.Jessor R, Jessor SL. Problem Behavior and Psychosocial Development: A Longitudinal Study of Youth. New York: Academic; 1977. p. 281. [Google Scholar]
- 70.Johnston LD, O’Malley PM, Bachman JG, Schulenberg JE. Monitoring the Future National Survey Results on Drug Use, 1975–2010. Volume I: Secondary School Students. Ann Arbor: Inst. Soc. Res., Univ. Mich; 2011. [Google Scholar]
- 71.Klein NC, Alexander JF, Parsons BV. Impact of family systems intervention on recidivism and sibling delinquency: a model of primary prevention and program evaluation. J. Consult. Clin. Psychol. 1977;45:469–474. doi: 10.1037//0022-006x.45.3.469. [DOI] [PubMed] [Google Scholar]
- 72.Knitzer J, Steinberg ZD, Fleisch B. At the Schoolhouse Door: An Examination of Programs and Policies for Children with Behavioral and Emotional Problems. New York: Bank Street Coll. Educ; 1990. [Google Scholar]
- 73.Knopf D, Park MJ, Mulye TP. The Mental Health of Adolescents: A National Profile, 2008. San Francisco: Natl. Adolesc. Health Inf. Cent. (NAHIC), Univ. Calif; 2008. [Google Scholar]
- 74.Lahey BB, Loeber R, Burke JD, Applegate B. Predicting future antisocial personality disorder in males from a clinical assessment in childhood. J. Consult. Clin. Psychol. 2005;73:389–399. doi: 10.1037/0022-006X.73.3.389. [DOI] [PubMed] [Google Scholar]
- 75.Landenberger NA, Lipsey MW. The positive effects of cognitive-behavioral programs for offenders: a meta-analysis of factors associated with effective treatment. J. Exp. Criminol. 2005;1:451–476. [Google Scholar]
- 76.Latimer J, Dowden C, Muise D. The effectiveness of restorative justice practices: a meta-analysis. Prison J. 2005;85:127–144. [Google Scholar]
- 77.Lee S, Aos S, Drake E, Pennucci A, Miller M, Anderson L. Return on Investment: Evidence-Based Options to Improve Statewide Outcomes: April 2012 Update. Olympia, WA: Wash. State Inst. Public Policy; 2012. Apr, http://www.wsipp.wa.gov/rptfiles/12-04-1201.pdf. [Google Scholar]
- 78.Lerner R, Steinberg L, editors. Handbook of Adolescent Psychology, Vol. 1: Individual Bases of Adolescent Development. Hoboken, NJ: Wiley; 2009. [Google Scholar]
- 79.Lerner R, Steinberg L, editors. Handbook of Adolescent Psychology, Vol. 2: Contextual Influences on Adolescent Development. Hoboken, NJ: Wiley; 2009. [Google Scholar]
- 80.Leve LD, Chamberlain P. Association with delinquent peers: intervention effects for youth in the juvenile justice system. J. Abnorm. Child Psychol. 2005;33:339–347. doi: 10.1007/s10802-005-3571-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81.Leve LD, Chamberlain P, Smith DK, Harold GT. Multidimensional treatment foster care as an intervention for juvenile justice girls in out-of-home care. In: Miller S, Leve LD, Kerig PK, editors. Delinquent Girls: Contexts, Relationships, and Adaptation. New York: Springer; 2012. pp. 147–160. [Google Scholar]
- 82.Liddle HA. Family-based therapies for adolescent alcohol and drug use: research contributions and future research needs. Addiction. 2004;99(Suppl. 2):76–92. doi: 10.1111/j.1360-0443.2004.00856.x. [DOI] [PubMed] [Google Scholar]
- 83.Liddle HA, Dakof GA, Turner RM, Henderson CE, Greenbaum PE. Treating adolescent drug abuse: a randomized trial comparing multidimensional family therapy and cognitive behavior therapy. Addiction. 2008;103:1660–1670. doi: 10.1111/j.1360-0443.2008.02274.x. [DOI] [PubMed] [Google Scholar]
- 84.Liddle HA, Rowe CL, Dakof GA, Henderson CE, Greenbaum PE. Multidimensional family therapy for young adolescent substance abuse: twelve-month outcomes of a randomized controlled trial. J. Consult. Clin. Psychol. 2009;77:12–25. doi: 10.1037/a0014160. [DOI] [PubMed] [Google Scholar]
- 85.Liddle HA, Rowe CL, Dakof GA, Ungaro RA, Henderson CE. Early intervention for adolescent substance abuse: pretreatment to posttreatment outcomes of a randomized clinical trial comparing multidimensional family therapy and peer group treatment. J. Psychoactive Drugs. 2004;36:49–63. doi: 10.1080/02791072.2004.10399723. [DOI] [PubMed] [Google Scholar]
- 86.Loeber R, Burke JD, Lahey BB, Winters A, Zera M. Oppositional defiant and conduct disorder: a review of the past 10 years, part I. J. Am. Acad. Child Adolesc. Psychiatry. 2000;39:1468–1484. doi: 10.1097/00004583-200012000-00007. [DOI] [PubMed] [Google Scholar]
- 87.MacKay AP, Duran C. Adolescent Health in the United States, 2007. Atlanta, GA: Natl. Cent. Health Stat., Cent. Dis. Control. Prev. (CDC); 2007. [Google Scholar]
- 88.McGue M, Iacono WG. The association of early adolescent problem behavior with adult psychopathology. Am. J. Psychiatry. 2005;162:1118–1124. doi: 10.1176/appi.ajp.162.6.1118. [DOI] [PubMed] [Google Scholar]
- 89.McKenzie DL, Freeland R. Examining the effectiveness of juvenile residential programs. 2012:771–798. See Ref. 46. [Google Scholar]
- 90.McLoyd VC, Kaplan R, Purtell KM, Bagley E, Hardaway CR, Smalls C. Poverty and socioeconomic disadvantage in adolescence. 2009:444–491. See Ref. 79. [Google Scholar]
- 91.Merikangas KR, He J, Burstein M, Swanson SA, Avenevoli S, et al. Lifetime prevalence of mental disorders in U.S. adolescents: results from the National Comorbidity Survey Replication-Adolescent Supplement (NCS-A) J. Am. Acad. Child Adolesc. Psychiatry. 2010;49:980–989. doi: 10.1016/j.jaac.2010.05.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 92.Miller AL, Glinski J, Woodberry K, Mitchell AG, Indik J. Family therapy and dialectical behavior therapy with adolescents: Part I: Proposing a clinical synthesis. Am. J. Psychother. 2002;56:568–584. doi: 10.1176/appi.psychotherapy.2002.56.4.568. [DOI] [PubMed] [Google Scholar]
- 93.Moffitt TE, Arseneault L, Belsky D, Dickson N, Hancox RJ, et al. A gradient of childhood self-control predicts health, wealth, and public safety. Proc. Natl. Acad. Sci. USA. 2011;108:2693–2698. doi: 10.1073/pnas.1010076108. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 94.Monahan KC, Hawkins JD Comm. Sci. Adolesc., Natl. Res. Counc., Inst. Med. Influences on Adolescent Risk behavior. Washington, DC: Natl. Acad. Press; 2010. Covariance of problem behavior during adolescence. [Google Scholar]
- 95.Monahan KC, Steinberg L, Cauffman E. Affiliation with antisocial peers, susceptibility to peer influence, and antisocial behavior during the transition to adulthood. Dev. Psychol. 2009;45:1520–1530. doi: 10.1037/a0017417. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 96.Morris AS, Silk JS, Steinberg L, Myers SS, Robinson LR. The role of the family context in the development of emotion regulation. Soc. Dev. 2007;16:361–388. doi: 10.1111/j.1467-9507.2007.00389.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 97.Mulvey EP. Highlights from Pathways to Desistance: A Longitudinal Study of Serious Adolescent Offenders. Washington, DC: Off. Juv. Justice Delinq. Prev; 2011. [Google Scholar]
- 98.Mulvey EP, Schubert CA, Chassin L. Substance Use and Offending in Serious Adolescent Offenders. Washington, DC: Office of Juvenile Justice and Delinquency Prevention; 2010. [Google Scholar]
- 99.O’Connell ME, Boat T, Warner KE, editors. Preventing Mental, Emotional, and Behavioral Disorders Among Young People: Progress and Possibilities. Washington, DC: Natl. Acad. Press; 2009. [PubMed] [Google Scholar]
- 100.Oelsner J, Lippold MA, Greenberg MT. Factors influencing the development of school bonding among middle school students. J. Early Adolesc. 2011;31:463–487. doi: 10.1177/0272431610366244. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 101.Ogden T, Amlund Hagen K, Askeland E, Christensen B. Implementing and evaluating evidence-based treatments of conduct problems in children and youth in Norway. Res. Soc. Work Pract. 2009;19:582–591. [Google Scholar]
- 102.Ogden T, Christensen B, Sheidow AJ, Holth P. Bridging the gap between science and practice: the effective nationwide transport of MST programs in Norway. J. Child Adolesc. Subst. Abuse. 2008;17:93–109. [Google Scholar]
- 103.Patterson GR, DeBaryshe BD, Ramsey E. A developmental perspective on antisocial behavior. Am. Psychol. 1989;44:329–335. doi: 10.1037//0003-066x.44.2.329. [DOI] [PubMed] [Google Scholar]
- 104.Piquero AR, Farrington D, Blumstein A. The criminal career paradigm. Crime Justice. 2003;30:359–506. [Google Scholar]
- 105.Proctor EK, Knudsen KJ, Fedoravicius N, Hovmand P, Rosen A, Perron B. Implementation of evidence-based practice in community behavioral health: agency director perspectives. Adm. Policy Ment. Health Mental Health Serv. Res. 2007;34:479–488. doi: 10.1007/s10488-007-0129-8. [DOI] [PubMed] [Google Scholar]
- 106.Puzzanchera C, Kang W. Juvenile Court Statistics. Pittsburgh, PA: Natl. Cent. Juv. Justice; 2008. [Google Scholar]
- 107.Raine A. The role of prefrontal deficits, low autonomic arousal and early health factors in the development of antisocial and aggressive behavior in children. J. Child Psychol. Psychiatry. 2002;43:417–434. doi: 10.1111/1469-7610.00034. [DOI] [PubMed] [Google Scholar]
- 108.Reiss AJ, Roth JA, editors. Understanding and Preventing Violence. Washington, DC: Natl. Acad. Press; 1993. [Google Scholar]
- 109.Resnick MD. Protection, resiliency, and youth development. Adolesc. Med.: State Art Rev. 2000;11:157–164. [Google Scholar]
- 110.Riggs NR, Greenberg MT, Rhoades B. Early risk for problem behavior and substance use: targeted interventions for the promotion of inhibitory control. In: Bardo MT, Fishbein DH, Milich R, editors. Inhibitory Control and Drug Abuse Prevention: From Research to Translation. New York: Springer; 2011. pp. 249–262. [Google Scholar]
- 111.Robbins MS, Feaster DJ, Horigian VE, Puccinelli MJ, Henderson C, Szapocznik J. Therapist adherence in brief strategic family therapy for adolescent drug abusers. J. Consult. Clin. Psychol. 2011;79:43–53. doi: 10.1037/a0022146. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 112.Robbins MS, Feaster DJ, Horigian VE, Rohrbaugh M, Shoham V, et al. Brief strategic family therapy versus treatment as usual: results of a multisite randomized trial for substance using adolescents. J. Consult. Clin. Psychol. 2011;79:713–727. doi: 10.1037/a0025477. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 113.Rohrbach LA, Grana R, Sussman S, Valtene TW. Type II translation: transporting prevention interventions from research to real-world settings. Eval. Health Prof. 2006;29:302–333. doi: 10.1177/0163278706290408. [DOI] [PubMed] [Google Scholar]
- 114.Rushton JL, Forcier M, Schectman RM. Epidemiology of depressive symptoms in the National Longitudinal Study of Adolescent Health. J. Am. Acad. Child Adolesc. Psychiatry. 2002;41:199–205. doi: 10.1097/00004583-200202000-00014. [DOI] [PubMed] [Google Scholar]
- 115.Ryan JP, Marshall JM, Herz D, Hernandez PM. Juvenile delinquency in child welfare: investigating group home effects. Child. Youth Serv. Rev. 2008;30:1088–1099. [Google Scholar]
- 116.Santisteban DA, Coatsworth JD, Perez-Vidal A, Mitrani V, Jean-Gilles M, Szapocznik J. Brief structural/strategic family therapy with African American and Hispanic high-risk youth. J. Community Psychol. 1997;25:453–471. [Google Scholar]
- 117.Santisteban DA, Perez-Vidal A, Coatsworth JD, Kurtines WM, Schwartz SJ, et al. Efficacy of brief strategic family therapy in modifying Hispanic adolescent behavior problems and substance use. J. Fam. Psychol. 2003;17:121–133. doi: 10.1037/0893-3200.17.1.121. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 118.Santos AB, Henggeler SW, Burns BJ, Arana GW, Meisler N. Research on field-based services: models for reform in the delivery of mental health care to populations with complex clinical problems. Am. J. Psychiatry. 1995;152:1111–1123. doi: 10.1176/ajp.152.8.1111. [DOI] [PubMed] [Google Scholar]
- 119.Sawyer AM, Borduin CM. Effects of multisystemic therapy through midlife: a 21.9-year follow-up to a randomized clinical trial with serious and violent juvenile offenders. J. Consult. Clin. Psychol. 2011;79:643–652. doi: 10.1037/a0024862. [DOI] [PubMed] [Google Scholar]
- 120.Schaeffer CM, Borduin CM. Long-term follow-up to a randomized clinical trial of multisystemic therapy with serious and violent juvenile offenders. J. Consult. Clin. Psychol. 2005;73:445–453. doi: 10.1037/0022-006X.73.3.445. [DOI] [PubMed] [Google Scholar]
- 121.Schoenwald SK, Chapman JE, Kelleher K, Hoagwood KE, Landsverk J, et al. A survey of the infrastructure for children’s mental health services: implications for the implementation of empirically supported treatments (ESTs) Adm. Policy Ment. Health. 2008;35:84–97. doi: 10.1007/s10488-007-0147-6. [DOI] [PubMed] [Google Scholar]
- 122.Schoenwald SK, Henggeler SW. Mental health services research and family-based treatment: bridging the gap. In: Liddle HA, Santisteban DA, Levant R, Bray JH, editors. Family Psychology: Science-Based Interventions. Washington, DC: Am. Psychol. Assoc; 2002. pp. 259–282. [Google Scholar]
- 123.Schulenberg J, Maggs JL, Dielman TE, Leech SL, Kloska DD, et al. On peer influences to get drunk: a panel study of young adolescents. Merrill-Palmer Q.: J. Dev. Psychol. 1999;45:108–142. [Google Scholar]
- 124.Sexton T, Turner CW. The effectiveness of functional family therapy for youth with behavioral problems in a community practice setting. J. Fam. Psychol. 2010;24:339–348. doi: 10.1037/a0019406. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 125.Sexton TL. Functional family therapy: traditional theory to evidence-based practice. In: Bray JH, Stanton M, editors. The Wiley-Blackwell Handbook of Family Psychology. Malden, MA: Wiley-Blackwell; 2009. pp. 327–340. [Google Scholar]
- 126.Sexton TL, Alexander JF. Functional family therapy: a mature clinical model for working with at-risk adolescents and their families. In: Sexton TL, Weeks GR, Robbins MS, editors. Handbook of Family Therapy: The Science and Practice of Working with Families and Couples. New York: Brunner-Routledge; 2003. pp. 371–400. [Google Scholar]
- 127.Sexton TL, Kelley SD. Finding the common core: evidence-based practices, clinically relevant evidence, and core mechanisms of change. Adm. Policy Ment. Health. 2010;37:81–88. doi: 10.1007/s10488-010-0277-0. [DOI] [PubMed] [Google Scholar]
- 128.Sherman LW, Strang H. Restorative Justice: The Evidence. Philadelphia/London: Jerry Lee Cent. Criminol., Univ. Penn./Smith Inst; 2007. [Google Scholar]
- 129.Smith EP, Wolf AM, Cantillon DM, Thomas O, Davidson WS. The Adolescent Diversion Project: 25 years of research on an ecological model of intervention. In: Jakes SS, Brookins CC, editors. Understanding Ecological Programming: Merging Theory, Research, and Practice. New York: Hawthorn; 2004. pp. 29–47. [Google Scholar]
- 130.Spoth R, Rohrbach R, Greenberg M, Leaf P, Brown H, et al. Addressing challenges for the next generation of type 2 translation research: the translation science to population impact framework. Prev. Sci. 2012 doi: 10.1007/s11121-012-0362-6. In press. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 131.Steinberg L, Morris AS. Adolescent development. Annu. Rev. Psychol. 2001;52:83–110. doi: 10.1146/annurev.psych.52.1.83. [DOI] [PubMed] [Google Scholar]
- 132.Stormshak EA, Connell A, Dishion TJ. An adaptive approach to family-centered intervention in schools: linking intervention engagement to academic outcomes in middle and high school. Prev. Sci. 2009;10:221–235. doi: 10.1007/s11121-009-0131-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 133.Sundell K, Hansson K, Löfholm CA, Olsson T, Gustle L-H, Kadesjö C. The transportability of multisystemic therapy to Sweden: short-term results from a randomized trial of conduct-disordered youths. J. Fam. Psychol. 2008;22:550–560. doi: 10.1037/a0012790. [DOI] [PubMed] [Google Scholar]
- 134.Swenson CC, Schaeffer CM, Henggeler SW, Faldowski R, Mayhew AM. Multisystemic therapy for child abuse and neglect: a randomized effectiveness trial. J. Fam. Psychol. 2010;24:497–507. doi: 10.1037/a0020324. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 135.Timmons-Mitchell J, Bender MB, Kishna MA, Mitchell CC. An independent effectiveness trial of multisystemic therapy with juvenile justice youth. J. Clin. Child Adolesc. Psychol. 2006;35:227–236. doi: 10.1207/s15374424jccp3502_6. [DOI] [PubMed] [Google Scholar]
- 136.Twenge JM, Gentile B, DeWall CN, Ma D, Lacefield K, Schurtz DR. Birth cohort increases in psychopathology among young Americans, 1938–2007: a cross-temporal meta-analysis of the MMPI. Clin. Psychol. Rev. 2010;30:145–154. doi: 10.1016/j.cpr.2009.10.005. [DOI] [PubMed] [Google Scholar]
- 137.Van Ryzin MJ, Dishion TJ. The impact of a family-centered intervention on the ecology of adolescent antisocial behavior: modeling developmental sequelae and trajectories during adolescence. Dev. Psychopathol. 2012;24:1139–1155. doi: 10.1017/S0954579412000582. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 138.Waldron HB, Slesnick N, Brody JL, Turner CW, Peterson TR. Treatment outcomes for adolescent substance use at 4- and 7-month assessments. J. Consult. Clin. Psychol. 2001;69:802–813. [PubMed] [Google Scholar]
- 139.Waldron HB, Turner CW. Evidence-based psychosocial treatments for adolescent substance use. J. Clin. Child Adolesc. Psychol. 2008;37:238–261. doi: 10.1080/15374410701820133. [DOI] [PubMed] [Google Scholar]
- 140.Weiss B, Caron A, Ball S, Tapp J, Johnson M, Weisz JR. Iatrogenic effects of group treatment for antisocial youths. J. Consult. Clin. Psychol. 2005;73:1036–1044. doi: 10.1037/0022-006X.73.6.1036. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 141.Wilson DB, MacKenzie DL, Mitchell FN. Campbell Syst. Rev. 2008:1. Oslo: Campbell Collab; 2008. Effects of Correctional Boot Camps on Offending. [Google Scholar]
- 142.Wilson SJ, Lipsey MW. Wilderness challenge programs for delinquent youth: a meta-analysis of outcome evaluations. Eval. Progr. Plann. 2000;23:1–12. [Google Scholar]
- 143.Yoshikawa H, Aber JL, Beardslee WR. The effects of poverty on the mental, emotional, and behavioral health of children and youth: implications for prevention. Am. Psychol. 2012;67:272–284. doi: 10.1037/a0028015. [DOI] [PubMed] [Google Scholar]
