 |
 |

Comorbid Psychiatric Disorders in Youth in Juvenile Detention
Karen M. Abram, PhD;
Linda A. Teplin, PhD;
Gary M. McClelland, PhD;
Mina K. Dulcan, MD
Arch Gen Psychiatry. 2003;60:1097-1108.
ABSTRACT
Objective To estimate 6-month prevalence of comorbid psychiatric disorders among juvenile detainees by demographic subgroups (sex, race/ethnicity, and age).
Design Epidemiologic study of juvenile detainees. Master's level clinical research interviewers administered the Diagnostic Interview Schedule for Children Version 2.3 to randomly selected detainees.
Setting A large temporary detention center for juveniles in Cook County, Illinois (which includes Chicago and surrounding suburbs).
Participants Randomly selected, stratified sample of 1829 African American, non-Hispanic white, and Hispanic youth (1172 males, 657 females, aged 10-18 years) arrested and newly detained.
Main Outcome Measure Diagnostic Interview Schedule for Children.
Results Significantly more females (56.5%) than males (45.9%) met criteria for 2 or more of the following disorders: major depressive, dysthymic, manic, psychotic, panic, separation anxiety, overanxious, generalized anxiety, obsessive-compulsive, attention-deficit/hyperactivity, conduct, oppositional defiant, alcohol, marijuana, and other substance; 17.3% of females and 20.4% of males had only one disorder. We also examined types of disorder: affective, anxiety, substance use, and attention-deficit/hyperactivity or behavioral. The odds of having comorbid disorders were higher than expected by chance for most demographic subgroups, except when base rates of disorders were already high or when cell sizes were small. Nearly 14% of females and 11% of males had both a major mental disorder (psychosis, manic episode, or major depressive episode) and a substance use disorder. Compared with participants with no major mental disorder (the residual category), those with a major mental disorder had significantly greater odds (1.8-4.1) of having substance use disorders. Nearly 30% of females and more than 20% of males with substance use disorders had major mental disorders. Rates of some types of comorbidity were higher among non-Hispanic whites and older adolescents.
Conclusions Comorbid psychiatric disorders are a major health problem among detained youth. We recommend directions for research and discuss how to improve treatment and reduce health disparities in the juvenile justice and mental health systems.
INTRODUCTION
MANY OF our nation's youth are involved in the juvenile justice system. The US Department of Justice estimates that each year there are 2.5 million juvenile arrests.1 Moreover, nearly 1.8 million cases are referred to juvenile courts.2 On an average day in the United States, approximately 109 000 youth younger than 18 years are incarcerated3; nearly 15% of these are youth housed in adult facilities that may lack mental health services for youth.4 African American and Hispanic youth are overrepresented in the juvenile justice system, accounting for more than 60% of young offenders in juvenile justice facilities.5 The number of females in the juvenile justice system is increasing at an even faster rate than the number of males.5
Many detained youth have psychiatric disorders.6-9 Teplin et al8 found that even after excluding conduct disorder (symptoms of which include delinquent behaviors), approximately 60% of males and 70% of females had a psychiatric disorder. These rates of disorder far exceed those of youth in the community.8, 10
Advocacy groups and public policy experts believe that many youth in the juvenile justice system have comorbidity: more than 1 alcohol, other drug, or mental (ADM) disorder.11 The Surgeon General's report12 on children's mental health notes that youth with comorbidity may be arrested because our fragmented mental health system has little to offer them. Related research suggests that ADM comorbidity among juvenile detainees is common. Comorbidity is prevalent among youth in the community,13-16 adolescent treatment samples,17-18 and adult jail detainees.19-20 Rates of comorbidity among detained adolescents may be even higher than rates among detained adults.15, 21-22
Despite its importance, there have been few empirical studies of ADM comorbidity among juvenile detainees and no large-scale investigations, to our knowledge.23 Three studies found high rates of comorbidity24-26; however, their samples were too small to estimate its true prevalence or how patterns of comorbidity vary by sex, race/ethnicity and age.
Data on ADM comorbidity among juvenile detainees are needed for 2 reasons:
- To improve treatment of detained youth. Detention centers are legally mandated to treat detainees with major mental disorders.27 However, treating detainees who have ADM comorbidity is far more complex than treating youth who have only one disorder.28-29 Sound epidemiologic data on comorbidity will help us target youth with the most common diagnostic profiles.
- To improve treatment for high-risk youth in the community. Although committed (sentenced) juveniles stay an average of 5 months,5 juveniles in detention have an average stay of 2 weeks.5 Moreover, many high-risk youth (eg, substance abusers, abused and neglected youth) eventually cycle through the juvenile justice system. Without treatment, disorders are likely to persist and worsen, contributing to negative social outcomes and recidivism.30 Data on ADM comorbidity among detainees are needed to develop more effective interventions for high-risk youth in the community and to tailor services for special populations, such as females and minorities.
We present findings on the prevalence and patterns of ADM comorbidity from the Northwestern Juvenile Project, a large-scale study of psychiatric disorders in detained youth.
METHODS
PARTICIPANTS AND SAMPLING PROCEDURES
Participants were 1829 male and female youth, 10 to 18 years old, randomly sampled at intake into the Cook County Juvenile Temporary Detention Center (CCJTDC) from November 20, 1995, through June 14, 1998. The sample was stratified by sex, race/ethnicity (African American, non-Hispanic white, Hispanic), age (10-13 years or 14 years), and legal status (processed as a juvenile or as an adult) to obtain enough participants to compare key subgroups (eg, females, Hispanics, and younger children).
The CCJTDC receives approximately 8500 admissions each year (John Howard Association, Chicago, unpublished data, 1992) and is used solely for pretrial detention and for offenders sentenced for fewer than 30 days. All detainees younger than 17 years are held at the CCJTDC, including youth processed as adults (automatic transfers to adult court). Youth up to 21 years may be detained in the CCJTDC if they are being prosecuted for an arrest that occurred when they were younger than 17 years. Like juvenile detainees nationwide, approximately 90% of the CCJTDC detainees are male, and most are racial/ethnic minorities.5 The CCJTDC's population is 77.9% African American, 5.6% non-Hispanic white, 16.0% Hispanic, and 0.5% other racial or ethnic groups. The age and offense distributions of the CCJTDC detainees are also similar to detained juveniles nationwide.5
We chose the detention center in Cook County (which includes Chicago and surrounding suburbs) for 3 reasons. First, nationwide, most juvenile detainees live in and are detained in urban areas.31 Second, Cook County is ethnically diverse and has the third largest Hispanic population in the United States.32 Studying Hispanics is important because they are the largest minority group in the United States33 and they are overrepresented in the justice systems.5 Third, the detention center's size (daily census of approximately 650 youth and intake of 20 youth per day) ensured that enough participants would be available.
No single site can represent the entire country because different jurisdictions have different options for diversion.34-35 Nevertheless, Illinois' criteria for detaining juveniles are similar to those of other states.34 All states allow pretrial detention if the youth needs protection, is likely to flee, or is considered a danger to the community.34-35
Detainees were eligible to participate, regardless of their psychiatric morbidity, state of alcohol or other drug intoxication, or fitness to stand trial. Within each stratum of sex, race/ethnicity, age, and legal status, we used a random-numbers table to select names from the CCJTDC's intake log. Throughout the study, we tracked how many participants were needed to fill each cell. Project staff sampled the rarest categories first. When more than one participant was available for a cell, a random-numbers table was used. The final sampling fractions ranged from 0.018 to 0.689. (Additional information on the sample is available from the authors.)
Studying detained youth requires special procedures because they are minors, they are detained, and many do not have a parent or guardian who can provide appropriate consent.36 Project staff approached participants in their units, explained the project, and assured them that anything they told us (except acute suicidal or homicidal risk) would be confidential. Participants signed an assent form (if they were younger than 18 years) or consent form (if they were 18 years or older). Federal regulations allow parental consent to be waived if the research involves minimal risk (45 CFR 46.116(c), 45 CFR 46.116(d), and 45 CFR 46.408(c)).36-37 The Northwestern University Institutional Review Board, the Centers for Disease Control and Prevention Institutional Review Board, and the US Office of Protection from Research Risks waived parental consent. However, as ethicists recommend, we nevertheless tried to contact parents to provide them an opportunity to decline participation and to offer them additional information (45 CFR 46.116(d)[4]).38-39 Despite repeated attempts to contact the parent or guardian, none could be found for 43.8% of participants. In lieu of parental consent, youth assent was overseen by a participant advocate who represented the interests of the participants. Federal regulations allow for a participant advocate when parental consent is not feasible (45 CFR 46.116(d)).38
Of the 2275 names selected, 4.2% (34 youth and 62 parents or guardians) refused to participate. There were no significant differences in refusal rates by sex, race/ethnicity, or age. Some youth processed as adults (automatic transfers) were counseled by their lawyers to refuse participation; in this stratum, the refusal rate was 7.1% (26 of 368 youth). Twenty-seven youth left the detention center before we could schedule an interview; 312 were not interviewed because they left while we were attempting to locate their caretakers for consent. Eleven others were excluded: 9 became physically ill during the interview and could not finish it, 1 was too cognitively impaired to be interviewed, and 1 appeared to be lying. The final sample size was 1829. This sample size allows us to reliably detect (ie, distinguish from zero) disorders that have a base rate in the general population of 1.0% or greater with a power of 0.80.40
The final sample comprised 1172 males (64.1%) and 657 females (35.9%), 1005 African Americans (54.9%), 296 non-Hispanic whites (16.2%), 524 Hispanics (28.7%), and 4 others (0.2%). The mean age of participants was 14.9 years, and the median age was 15 years.
Participants were interviewed in a private area, almost always within 2 days of intake. Most interviews lasted 2 to 3 hours, depending on how many symptoms were reported. We used both male and female interviewers. Female participants were always interviewed by female interviewers. Interviewers were trained for at least a month; most had a master's degree in psychology or an associated field and experience interviewing high-risk youth. One third of our interviewers were fluent in Spanish. We maintained consistency throughout the study by monitoring scripted interviews with mock participants.
PSYCHIATRIC DIAGNOSES
We used the Diagnostic Interview Schedule for Children (DISC) Version 2.3,41-42 the most recent English and Spanish versions then available. The DISC 2.3 assesses the presence of DSM-III-R disorders in the past 6 months. The DISC is highly structured, contains detailed symptom probes, has acceptable reliability and validity,41, 43-46 and requires relatively brief training.
As in our previous work,8 2 of the diagnoses required special management. The DISC psychosis module, a broad symptom screen, does not generate a specific diagnosis. Instead, this module flags participants if they endorse any "possible" or "probable" pathognomonic symptoms or at least 3 nonpathognomonic symptoms of psychosis. More than one quarter of our participants scored positive on this screen. To be conservative, we counted these participants as psychotic only if (1) their symptoms persisted for at least 1 week; (2) they had not used alcohol, other drugs, or medication during this time; and (3) a project clinician (a child and adolescent psychiatrist or clinical psychologist) judged that the symptoms were "probably indicative of psychosis" after reviewing the protocol and discussing the case with the interviewer. Twelve participants met these criteria. Project clinicians classified another 8 participants as psychotic who, although they denied symptoms, were judged by the research interviewer to have auditory hallucinations, delusions, or thought disorder during the interview.
Attention-deficit/hyperactivity disorder (ADHD) is difficult to assess via self-report47 and is even more challenging to diagnose among delinquent youth.48 In addition, the DSM-III-R requires that symptoms of ADHD be present before the age of 7 years. In many studies, age of onset is reported by the caretaker. Most of our participants who reported symptoms of ADHD could not remember when these symptoms began. To avoid underreporting, we calculated rates of ADHD in 2 ways: in the conventional manner (requiring that symptoms be present before the age of 7 years) and counting the disorder as present regardless of the reported age of onset. (We present only the latter; the former rates are available from the authors.)
We determined rates of disorders in 2 ways. As most investigators have done, we report rates using the standard DISC computer algorithms to calculate rates using DSM-III-R criteria. We also calculated more conservative (less inclusive) rates for diagnoses that met both DSM-III-R criteria and diagnosis-specific impairment criteria, reported by participants.41 Although youth are poor reporters of their own impairment,41, 49 we calculated these latter rates because psychiatric diagnoses are best determined by the presence of both symptoms and functional impairment.41, 50-52 These more conservative estimates, substantially similar to those reported herein, are available from the authors.
STATISTICAL ANALYSIS
Because we stratified our sample by sex, race/ethnicity, age, and legal status, we weighted all prevalence estimates to reflect the distributions of these variables in the detention center's population. All reported SEs and tests of significance have been corrected for design characteristics with Taylor series linearization.53-54 We used 2-tailed tests; our level of significance for all tests was .05. We report disorders for males and females separately, because combining them masks important differences.
RESULTS
COMORBIDITY OF PSYCHIATRIC DISORDERS
Specific Disorders
Significantly more females (56.5%) than males (45.9%) met criteria for 2 or more of the following disorders: major depressive, dysthymic, manic, psychotic, panic, separation anxiety, overanxious, generalized anxiety, obsessive-compulsive, ADHD, conduct, oppositional defiant, alcohol, marijuana, and other substance (t1812 = 3.13, P = .002); 17.3% of females and 20.4% of males had only 1 disorder. (The DISC 2.3 did not include posttraumatic stress disorder; posttraumatic stress disorder diagnoses, available on a subsample, will be presented in future articles.) These analyses are available from the authors; analyses of single disorders are available elsewhere.8 Even after excluding conduct and substance use disorders, which are common among delinquent youth, significantly more females (33.6%) than males (24.2%) had 2 or more disorders (t1813 = 2.81, P = .005).
Types of Disorders
Figure 1 and Figure 2 show substantial comorbidity for females and males. (We omitted psychoses from this analysis because there were so few cases.) Patterns of overlap differ somewhat by sex. Nearly one third of females (29.5%) and males (30.8%) had both substance use disorders and ADHD or behavioral disorders; approximately half of these also had anxiety disorders, affective disorders, or both.
|
|
|
|
Figure 1. Comorbid types of disorder among females. ADHD indicates attention-deficit/hyperactivity disorder.
|
|
|
|
|
|
|
Figure 2. Comorbid types of disorder among males. ADHD indicates attention-deficit/hyperactivity disorder.
|
|
|
Significantly more females (47.8%) than males (41.6%) had 2 or more of the following types of disorders: affective, anxiety, substance use, and ADHD or behavioral (t1813 = 2.56, P = .02). Again, even when excluding conduct and substance use disorders, significantly more females (25.1%) than males (18.0%) had 2 or more types of disorders (t1812 = 2.64, P = .01). Significantly more females (22.5%) than males (17.2%) had 3 or more types of disorders (t1813 = 2.09, P = .04). These analyses are available from the authors.
Racial/Ethnic Differences. Among females, significantly more non-Hispanic whites (63.1%) had 2 or more types of disorders than African Americans (42.6%; t639 = 3.21, P = .002). Among males, significantly more non-Hispanic whites (53.1%) had 2 or more types of disorders than African Americans (40.7%; t1142 = 3.92, P<.001). These analyses are available from the authors.
Table 1 and Table 2 give the prevalence of comorbidity by race/ethnicity among females and males with affective, substance use, anxiety, and ADHD or behavioral disorders. The odds of having comorbid disorders are higher than expected by chance for most racial/ethnic subgroups, except when base rates of disorders were already high or when cell sizes were small.
|
|
|
|
Table 1. Prevalence and Odds Ratios (ORs) of Comorbidity Among Female Juvenile Detainees With Affective, Substance Use, Anxiety, and ADHD or Behavioral Disorders by Race/Ethnicity*
|
|
|
|
|
|
|
Table 2. Prevalence and Odds Ratios (ORs) of Comorbidity Among Male Juvenile Detainees With Affective, Substance Use, Anxiety, and ADHD or Behavioral Disorders by Race/Ethnicity*
|
|
|
Age Differences. Significantly more males aged 16 years and older had 2 or more types of disorders (41.2%) than males aged 13 years and younger (27.0%; t1158 = 3.57, P<.001). Similarly, significantly more males aged 14 and 15 years had 2 or more types of disorders (45.3%) than males aged 13 years and younger (t1158 = 3.75, P<.001). Among females, there were no significant age differences in the overall prevalence of types of disorder. These analyses are available from the authors.
Table 3 and Table 4 give the prevalence of comorbidity by age among females and males with affective, substance use, anxiety, and ADHD or behavioral disorders. These tables show that the odds of having comorbid disorders are higher than expected by chance for most age groups.
|
|
|
|
Table 3. Prevalence and Odds Ratios (ORs) of Comorbidity Among Female Juvenile Detainees With Affective, Substance Use, Anxiety, and ADHD or Behavioral Disorders by Age*
|
|
|
|
|
|
|
Table 4. Prevalence and Odds Ratios (ORs) of Comorbidity Among Male Juvenile Detainees With Affective, Substance Use, Anxiety, and ADHD or Behavioral Disorders by Age*
|
|
|
SUBSTANCE USE DISORDERS AND MAJOR MENTAL DISORDERS
More than one tenth of males (10.8%) and 13.7% of females had both a major mental disorder (psychosis, manic episode, or major depressive episode) and a substance use disorder. We examined these disorders in depth because detention centers are mandated to treat major mental disorders and because comorbidity complicates treatment.
Rates of Substance Use Disorders Among Youth With Major Mental Disorders
What are the odds that participants with major mental disorders had co-occurring substance use disorders? Table 5 shows that compared with participants with no major mental disorder (the residual category), both females and males with any major mental disorder had significantly greater odds (1.8-4.1) of having substance use disorders. We also examined 2 subcategories of major mental disorder: psychosis or manic episode (combined because there were too few cases to analyze separately and because these disorders present similarly) and major depressive episode. Most odds ratios for these subcategories were statistically significant, except when cell sizes were small.
|
|
|
|
Table 5. Prevalence and Odds Ratios (ORs) of Substance Use Disorders Among Juvenile Detainees With Major Mental Disorders*
|
|
|
Sex Differences. Table 5 shows that among youth with major mental disorders (n = 305), more than half of females and nearly three quarters of males had any substance use disorder. Differences between females and males (and the corresponding odds ratios) were not statistically significant (t1784 = 1.92, P = .055; this analysis is available from the authors).
Racial/Ethnic Differences. Among females with major mental disorders, significantly more non-Hispanic whites and Hispanics had both drug and alcohol use disorders than did African Americans (50.0% and 43.4%, respectively, vs 21.3%); significantly more Hispanic females had alcohol use disorders than did African Americans (52.5% vs 26.6%). Among males with major mental disorders, there were no significant differences by race/ethnicity. These analyses are available from the authors.
Age Differences. Among females with major mental disorders, there were no significant differences by age. Among males, nearly 90% aged 16 years and older who had a major mental disorder also had a substance use disorder, significantly more than males 10 to 13 years and 14 to 15 years of age (55.2% and 60.6%, respectively). These analyses are available from the authors.
Rates of Major Mental Disorder Among Youth With Substance Use Disorders
What are the odds that participants with substance use disorders had co-occurring major mental disorders? Table 6 shows that compared with participants with no substance use disorder (the residual category), both females and males with any substance use disorder had significantly greater odds of having any major mental disorder and its subcategory, major depressive episode. Among males, odds ratios for psychosis or a manic episode were significant for some subcategories of substance use disorders.
|
|
|
|
Table 6. Prevalence and Odds Ratios (ORs) of Major Mental Disorders Among Juvenile Detainees With Substance Use Disorders*
|
|
|
Table 6 also shows that nearly 30% of females and more than 20% of males with any substance use disorder also had a major mental disorder. Among youth with both drug and alcohol use disorders, more than one third of females and more than one quarter of males had a major mental disorder. There were no significant differences by sex, race/ethnicity, or age (analyses are available from the authors).
RELATIVE ONSET OF MAJOR MENTAL DISORDERS AND SUBSTANCE USE DISORDERS
One quarter of both females (27.2%) and males (25.0%) reported that their major mental disorder preceded their substance use disorder by more than 1 year. One tenth of females (9.8%) and 20.7% of males reported that their substance use disorder preceded their major mental disorder by more than 1 year. Nearly two thirds of females (63.0%) and 54.3% of males developed their disorders within the same year. Findings were similar for subcategories of disorders. (Analyses are available from the authors.)
COMMENT
Psychiatric disorders are a major health problem among detained youth, exacerbated by high rates of comorbidity. Can we estimate how many youth with comorbidity are processed through detention nationwide? Precise estimates are difficult because our data reflect only one county and because the Department of Justice tabulates only numbers of admissions to detention annually, not individuals.5, 55 To the extent that Cook County is typical, our findings suggest that on an average day, there may be as many as 47 000 detained youth who have 2 or more types of psychiatric disorder; more than 12 000 have both a major mental disorder and a substance use disorder. The juvenile courts, which the Department of Justice estimates manage 1 100 000 individuals per year5, 55 (Melissa Sickmund, PhD, Office of Juvenile Justice and Deliquency Prevention, e-mail communication, December 18, 2002), may process as many as 550 000 youth with comorbidity per year.
Not surprisingly, among the disorders assessed, detainees are more likely to have substance use plus ADHD or behavioral disorders than any other combination. Half of these detainees also have an affective or anxiety disorder. Among adolescent substance users, these internalizing disorders are associated with more severe substance use56-57 but better treatment outcomes.58 Our findings suggest that we must reexamine how we manage substance use and behavioral problems in our children. Early onset of these disorders predicts worse outcomes; hence, early intervention is critical.48, 59-60 Psychiatric care has a chance to succeed where criminalization never can.
It is difficult to compare our findings with community studies because few are comparable.61 Also, rates vary widely, depending on the sample, method, source of data (subject or collaterals), and whether functional impairment was required.50 However, even after excluding conduct and substance use disorders (expected to be high in detained populations), our rates are substantially higher than those reported in community samples.28, 62-65
Mental health professionals who screen incoming detainees should anticipate that at least 1 in 10 youth will have a major mental disorder (psychosis, manic episode, or major depressive episode) and a substance use disorder, rates as high as adult detainees.19-20 Psychiatrists who treat detained youth with major mental disorders should expect that as many as three quarters of males and half of females will also have substance use disorders. These clients are a challenge to psychiatry; they are more recalcitrant to traditional treatments, they are more likely to be treatment failures, and they are more difficult to place because their needs cross traditional boundaries between service sectors.22, 63, 66-68 Conversely, addiction psychiatrists should anticipate that more than one fifth of detainees who abuse or are dependent on drugs will also have a major mental disorder, rates comparable to clinical17, 69-70 and correctional71-72 samples.
Females had higher rates of comorbidity than males. These sex differences, similar to our analyses of specific disorders,8 parallel prior studies of adult73-74 and juvenile detainees75 and may reflect the different ways that delinquent acts by females and males are managed. Criminologists suggest that females are treated more leniently than males for similar offenses, especially at the earliest stages of processing: arrests, station adjustments, and initial court hearings.76 Thus, those females who are detained may be more dysfunctional and have more problem behaviors and more disorders than their male counterparts.75
Non-Hispanic whites had the highest rate of comorbidity; African Americans had the lowest. Again, these racial/ethnic differences, similar to our analyses of specific disorders,8 parallel prior studies of adult detainees.19-20 Although minorities have lower rates of comorbidity than other youth, they make up two thirds of youth in the juvenile justice system.5 Thus, more minority adolescents will require services for comorbidity than nonminorities.
Although comorbidity of major mental and substance use disorders is more prevalent among older detainees, we found no dominant sequence of onset. This suggests that there are multiple pathways to disorders. Thus, we cannot target interventions to a single point of vulnerability. Detainees with the same combination of disorders may require different treatments, depending on their etiology.14 Psychiatrists should assess the sequence and interplay of symptoms to determine the best treatments for youth with comorbidity.
LIMITATIONS
This study has several limitations. Because our findings are drawn from a single site, they may pertain only to youth in detention centers with similar demographic composition. Rates of comorbidity might differ if diagnoses were based on DSM-IV instead of DSM-III-R. Finally, our rates may underestimate the true prevalence of comorbidity among youth in the entire juvenile justice system for 3 reasons. First, our sample included only detainees; it excluded youth who were not detained because their charges were less serious, because they were immediately released at the police station or detention center, or because they were referred immediately into the mental health system. Second, because it was not feasible to interview caretakers (few would have been available), our data are subject to the reliability and validity of the youth's self-report. Underreporting of symptoms by youth is endemic, especially for disruptive behavior disorder.47 Third, estimates of comorbidity would have been higher had we included additional disorders, such as posttraumatic stress, eating, dissociative, and somatoform disorders. Despite these limitations, our findings have implications for mental health treatment and research.
IMPLICATIONS FOR TREATMENT
Our findings may reflect our nation's increasingly punitive approaches to delinquency and substance abuse.4, 23, 77 Our findings may also reflect failures of the social service systems.78 A recent report to Congress79 and the Surgeon General's report12 on children's mental health have highlighted the paucity of mental health services available to youth with comorbidity. Because the fragmented public mental health system has little to offer,80 youth with comorbidity may "fall between the cracks" into the juvenile justice net. Unfortunately, recent innovations to treat comorbidity rarely reach into the juvenile justice system.23 Mental health professionals must collaborate with the juvenile justice system to:
- Improve screening. Many detention centers do not screen detainees for psychiatric problems.81 Comorbidity is particularly difficult to detect because intoxication and withdrawal can mask or exacerbate psychiatric symptoms (and vice versa).66, 70, 82 Although there are promising screening tools,83-84 additional studies are needed to document their validity.
- Increase diversion and linkage. Youth with major mental disorders who are not a threat to the community should be diverted to treatment facilities on arrest. Most detained youth are charged with nonviolent offenses85 and could be placed in community-based programs. Youth who are detained should be linked to services in the community after release. Ensuring that a first appointment is made and kept maximizes the chance of successful linkage to services.86 Only 20% of all delinquency cases result in detention.87 With collaboration from mental health professionals, juvenile courts and detention centers can help detect and refer many youth who are vulnerable to arrest. Although detained youth stay an average of only 2 weeks, many troubled youth at risk for comorbidity will be arrested during adolescence.88-90
- Reduce barriers to service in the community. Most delinquent youth experience substantial barriers to services. Youth in the juvenile justice system are disproportionately minority, poor, and poorly educated and have few social networksall characteristics known to limit the type and scope of ADM services that are provided.91-92 The Surgeon General reports that, compared with non-Hispanic whites, racial and ethnic minorities have less access to mental health services, are less likely to receive needed care, and are more likely to receive poor quality care.93 Poor minority youth rarely have private insurance.94-99 Many are ineligible for Medicaid.95, 97 Moreover, youth of color may be more likely than whites to be arrested, even for the same offenses.100 Reynolds et al101 found that more than one quarter of low-income, African American urban youth were arrested before the age of 18 years. The stigma of an arrest history may add to already formidable barriers to services.
Success, however, is limited by the availability and quality of services. Children in general are underserved; minority children even more so.92 Courts cannot mandate services where none are available.
FUTURE RESEARCH
Studies are needed in 4 areas:
- Pathways to comorbidity. We need to determine the most common pathways to comorbidity, critical periods of vulnerability, and how these differ by sex, race/ethnicity, and age. Longitudinal studies that identify the most common developmental sequences will demonstrate when primary and secondary preventive interventions may be most beneficial.67
- Health disparities. Although juvenile crime is relatively similar across race/ethnicity,102 racial/ethnic minorities compose 29% of arrests,5 63% of detainees,85 and 62% of juveniles who are committed (serving sentences).85 Studies are needed to understand (and rectify) racial/ethnic disparities in the decision to arrest, divert, detain, and provide mental health services to juveniles. Such studies will document whether the racial/ethnic differences found in our study indicate systematic disparities in identification and management of comorbidity or reflect true differences in need.
- Evaluations of interventions. We must develop more effective treatments for comorbid disorders and identify which treatments work best for special populations (eg, females, minorities, and younger adolescents).67 Despite the escalating numbers of females in the justice system,5, 103 few sex-specific services are available.104
- Prevalence, patterns, and outcomes of comorbid mental and physical disorders. There is growing evidence that psychiatric disorders often co-occur with physical disorders in children.105-109 Comorbidity may worsen the prognosis of a physical illness; for example, depression worsens the outcome of children with asthma.110 Health care costs are also much higher for those with both mental and physical disorders than for persons with either one alone.111
Most juveniles do not remain in detention for long. The responsibility for their care typically falls to the public mental health system on their release. Only a sustained partnership between the mental health and juvenile justice systems offers hope for a rational response to comorbidity in delinquent youth.
AUTHOR INFORMATION
Corresponding author: Linda A. Teplin, PhD, Psycho-Legal Studies Program, Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, 710 N Lakeshore Dr, Suite 900, Chicago, IL 60611 (e-mail: psycho-legal{at}northwestern.edu).
Submitted for publication November 1, 2002; final revision received March 3, 2003; accepted March 5, 2003.
This work was supported by National Institute of Mental Health (NIMH) grants R01MH54197 and R01MH59463 and grant 1999-JE-FX-1001 from the Office of Juvenile Justice and Delinquency Prevention. Major funding was also provided by the National Institute on Drug Abuse (Bethesda, Md), the Center for Mental Health Services (Rockville, Md), the Centers for Disease Control and Prevention (CDC) National Center for HIV, STD, and TB Prevention (Atlanta, Ga), CDC National Center on Injury Prevention and Control (Atlanta), the National Institute on Alcohol Abuse and Alcoholism (Bethesda), the Center for Substance Abuse Prevention (Rockville), the Center for Substance Abuse Treatment (Rockville), the National Institutes of Health (NIH) Office of Research on Women's Health (Bethesda), the NIH Center on Minority Health and Health Disparities (Bethesda), the NIH Office of Rare Diseases (Bethesda), the William T. Grant Foundation (New York, NY), and The Robert Wood Johnson Foundation (Princeton, NJ). Additional funds were provided by The John D. and Catherine T. MacArthur Foundation (Chicago), the Open Society Institute (New York) and the Chicago Community Trust (Chicago).
Many more people than the authors contributed to this project. Ann Hohmann, PhD, and Kimberly Hoagwood, PhD, provided extensive technical support in the design; Heather Ringeisen, PhD, and Mark Soler, JD, provided helpful advice. Grayson Norquist, MD, and Delores Parron, PhD, provided steadfast support throughout. We thank all project staff, especially Amy M. Lansing, PhD, for supervising the data collection. We thank Jennifer Wells, PhD, for her library work and her work on earlier drafts of the paper. We thank Laura Coats, BFA, for additional library work and editing the manuscript. The reviewers provided many creative suggestions. We also greatly appreciate the cooperation of everyone working in the Cook County systems, especially David H. Lux, BA, our project liaison. Without the county's cooperation, this study would not have been possible. Finally, we thank our subjects for their time and willingness to participate.
From the Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University (Drs Abram, Teplin, and McClelland), and Children's Memorial Hospital (Dr Dulcan), Chicago, Ill.
REFERENCES
1. Snyder HN. Juvenile Arrests 1999. Washington, DC: Office of Juvenile Justice and Delinquency Prevention; 2000.
2. Puzzanchera C. Delinquency Cases Waived to Criminal Court, 1989-1998: OJJDP Fact Sheet 35. Washington, DC: Office of Juvenile Justice and Delinquency Prevention; 2001.
3. Sickmund M, Wan Y. Census of Juveniles in Residential Placement Databook. Detailed Offense Profile by Sex for United States, 1999. Available at: http://www.ojjdp.ncjrs.org/. Accessed March 26, 2002.
4. Austin J, Johnson KD, Gregoriou M. Juveniles in Adult Prisons and Jails: A National Assessment (NCJ 182503). Washington, DC: Bureau of Justice Assistance; 2000.
5. Snyder HN, Sickmund M. Juvenile Offenders and Victims: 1999 National Report. Washington, DC: Office of Juvenile Justice and Delinquency Prevention; 1999.
6. Aarons GA, Brown SA, Hough RL, Garland AF, Wood PA. Prevalence of adolescent substance use disorders across five sectors of care. J Am Acad Child Adolesc Psychiatry.2001;40:419-426.
FULL TEXT
|
WEB OF SCIENCE
| PUBMED
7. Garland AF, Hough RL, McCabe KM, Yeh M, Wood PA, Aarons GA. Prevalence of psychiatric disorders in youths across five sectors of care. J Am Acad Child Adolesc Psychiatry.2001;40:409-418.
FULL TEXT
|
WEB OF SCIENCE
| PUBMED
8. Teplin LA, Abram KM, McClelland GM, Dulcan MK, Mericle AA. Psychiatric disorders in youth in juvenile detention. Arch Gen Psychiatry.2002;59:1133-1143.
FREE FULL TEXT
9. Wasserman GA, McReynolds LS, Lucas CP, Fisher P, Santos L. The voice DISC-IV with incarcerated male youths: prevalence of disorder. J Am Acad Child Adolesc Psychiatry.2002;41:314-321.
FULL TEXT
|
WEB OF SCIENCE
| PUBMED
10. Otto RK, Greenstein JJ, Johnson MK, Friedman RM. Prevalence of mental disorders among youth in the juvenile justice system. In: Cocozza JJ, ed. Responding to the Mental Health Needs of Youth in the Juvenile Justice System. Seattle, Wash: National Coalition for the Mentally Ill in the Criminal Justice System; 1992:7-48.
11. Faenza M, Siegfried C, Wood J. Community Perspectives on the Mental Health and Substance Abuse Treatment Needs of Youth Involved in the Juvenile Justice System. Alexandria, Va: National Mental Health Association and the Office of Juvenile Justice and Delinquency Prevention; 2000.
12. US Department of Health and Human Services. Report of the Surgeon General's Conference on Children's Mental Health: A National Action Agenda. Washington, DC: US Dept of Health and Human Services; 2000.
13. Angold A, Costello EJ. Depressive comorbidity in children and adolescents. Am J Psychiatry.1993;150:1779-1791.
WEB OF SCIENCE
| PUBMED
14. Bukstein OG, Brent DA, Kaminer Y. Comorbidity of substance abuse and other psychiatric disorders in adolescents. Am J Psychiatry.1989;146:1131-1141.
WEB OF SCIENCE
| PUBMED
15. Kandel DB, Johnson JG, Bird HR, et al. Psychiatric comorbidity among adolescents with substance use disorders. J Am Acad Child Adolesc Psychiatry.1999;38:693-699.
FULL TEXT
|
WEB OF SCIENCE
| PUBMED
16. Lewinsohn PM, Hops H, Roberts RE, Seeley JR, Andrews JA. Adolescent psychopathology, I: prevalence and incidence of depression and other DSM-III-R disorders in high school students. J Abnorm Psychol.1993;102:133-144.
FULL TEXT
|
WEB OF SCIENCE
| PUBMED
17. Deykin EY, Buka SL, Zeena TH. Depressive illness among chemically dependent adolescents. Am J Psychiatry.1992;149:1341-1347.
WEB OF SCIENCE
| PUBMED
18. Wilens TE, Biederman J, Millstein RB, Wozniak J, Hahesy AL, Spencer TJ. Risk for substance use disorders in youths with child- and adolescent-onset bipolar disorder. J Am Acad Child Adolesc Psychiatry.1999;38:680-685.
FULL TEXT
|
WEB OF SCIENCE
| PUBMED
19. Abram KM, Teplin LA. Co-occurring disorders among mentally ill jail detainees: implications for public policy. Am Psychol.1991;46:1036-1045.
FULL TEXT
| PUBMED
20. Abram KM, Teplin LA, McClelland GM. Comorbidity of severe psychiatric disorders and substance use disorders among women in jail. Am J Psychiatry.2003;160:1007-1010.
FULL TEXT
|
WEB OF SCIENCE
| PUBMED
21. Kessler RC, Nelson CB, McGonagle KA, Edlund MJ, Frank RG, Leaf PJ. The epidemiology of co-occurring addictive and mental disorders: implications for prevention and service utilization. Am J Orthopsychiatry.1996;66:17-31.
WEB OF SCIENCE
| PUBMED
22. Rao U, Daley SE, Hammen C. Relationship between depression and substance use disorders in adolescent women during the transition to adulthood. J Am Acad Child Adolesc Psychiatry.2000;39:215-222.
FULL TEXT
|
WEB OF SCIENCE
| PUBMED
23. Cocozza JJ, Skowyra KR. Youth with mental health disorders: issues and emerging responses. Juvenile Justice.2000;7:3-13.
24. McManus M, Alessi NE, Grapentine WL, Brickman A. Psychiatric disturbance in serious delinquents. J Am Acad Child Psychiatry.1984;23:602-615.
WEB OF SCIENCE
| PUBMED
25. Pliszka SR, Sherman JO, Barrow MV, Irick S. Affective disorder in juvenile offenders: a preliminary study. Am J Psychiatry.2000;157:130-132.
WEB OF SCIENCE
| PUBMED
26. Shelton D. Emotional disorders in young offenders. J Nurs Scholarsh.2001;33:259-263.
FULL TEXT
|
WEB OF SCIENCE
| PUBMED
27. Costello JC, Jameson EJ. Legal and ethical duties of health care professionals to incarcerated children. J Leg Med.1987;8:191-263.
WEB OF SCIENCE
| PUBMED
28. Costello EJ, Angold A, Burns BJ, et al. The Great Smoky Mountains Study of Youth: goals, design, methods and the prevalence of DSM-III-R disorders. Arch Gen Psychiatry.1996;53:1129-1136.
FREE FULL TEXT
29. Lewinsohn PM, Rohde P, Seeley JR. Major depressive disorder in older adolescents. Clin Psychol Rev.1998;18:765-794.
FULL TEXT
|
WEB OF SCIENCE
| PUBMED
30. Cohen P, Cohen J, Brook J. An epidemiological study of disorders in late childhood and adolescence, II. J Child Psychol Psychiatry.1993;34:869-877.
WEB OF SCIENCE
| PUBMED
31. Pastore AL, Maguire K. Sourcebook of Criminal Justice Statistics1999. Washington, DC: US Dept of Justice; 2000.
32. US Bureau of the Census. The Hispanic Population. Washington, DC: US Dept of Commerce; 2001.
33. US Bureau of the Census. Population by Race and Hispanic or Latino Origin for the United States: 1990 and 2000. Washington, DC: US Dept of Commerce; 2001:table 1.
34. Grisso T, Tomkins A, Casey P. Psychosocial concepts in juvenile law. Law Hum Behav.1988;12:403-437.
FULL TEXT
|
WEB OF SCIENCE
35. Illinois Criminal Justice Information Authority. Trends and Issues 1997. Chicago: Illinois Criminal Justice Information Authority; 1997.
36. Federal Policy for the Protection of Human Subjects: Notices and Rules: part 2, vol 56, No 117, 56. Fed Regist. 28002-32 (18 June 1991).
37. Shaffer D. Use of passive consent in child/adolescent mental health researcheffect of letter from Dr Charles R. McCarthy, Director of the Office for Protection from Research Risks, National Institutes of Health. Res Notes Child Adolesc Psychiatry. 1992;Summer:10.
38. Fisher CB. Integrating science and ethics in research with high-risk children and youth. Soc Policy Rep.1993;7:1-27.
PUBMED
39. Nolan K. Ethical issues: assent, consent, and behavioral research with adolescents. Res Notes Child Adolesc Psychiatry. 1992;Summer:7-10.
40. Cohen J. Statistical Power Analysis for the Behavioral Sciences. 2nd ed. Hillsdale, NJ: Lawrence Earlbaum Associates; 1988.
41. Shaffer D, Fisher P, Dulcan M, et al. The NIMH Diagnostic Interview Schedule for Children Version 2.3 (DISC-2.3): description, acceptability, prevalence rates, and performance in the MECA Study. J Am Acad Child Adolesc Psychiatry.1996;35:865-877.
FULL TEXT
|
WEB OF SCIENCE
| PUBMED
42. Bravo M, Woodbury-Farina M, Canino GJ, Rubio-Stipec M. The Spanish translation and cultural adaptation of the Diagnostic Interview Schedule for Children (DISC) in Puerto Rico. Cult Med Psychiatry.1993;17:329-344.
FULL TEXT
|
WEB OF SCIENCE
| PUBMED
43. Fisher PW, Shaffer D, Piacentini JC, et al. Sensitivity of the Diagnostic Interview Schedule for Children, 2nd Edition (DISC-2.1) for specific diagnoses of children and adolescents. J Am Acad Child Adolesc Psychiatry.1993;32:666-673.
WEB OF SCIENCE
| PUBMED
44. Shaffer D, Schwab-Stone M, Fisher P, et al. The Diagnostic Interview Schedule for ChildrenRevised Version (DISC-R), I. J Am Acad Child Adolesc Psychiatry.1993;32:643-650.
WEB OF SCIENCE
| PUBMED
45. Schwab-Stone M, Fisher P, Piacentini J, Shaffer D, Davies M, Briggs M. The Diagnostic Interview Schedule for ChildrenRevised Version (DISC-R), II: test-retest reliability. J Am Acad Child Adolesc Psychiatry.1993;32:651-657.
WEB OF SCIENCE
| PUBMED
46. Piacentini J, Shaffer D, Fisher P, Schwab-Stone M, Davies M, Gioia P. The Diagnostic Interview Schedule for ChildrenRevised Version (DISC-R), III: concurrent criterion validity. J Am Acad Child Adolesc Psychiatry.1993;32:658-665.
WEB OF SCIENCE
| PUBMED
47. Schwab-Stone ME, Shaffer D, Dulcan M, et al. Criterion validity of the NIMH Diagnostic Interview Schedule for Children Version 2.3 (DISC-2.3). J Am Acad Child Adolesc Psychiatry.1996;35:878-888.
FULL TEXT
|
WEB OF SCIENCE
| PUBMED
48. Thompson LL, Riggs PD, Mikulich SK, Crowley TJ. Contribution of ADHD symptoms to substance problems and delinquency in conduct-disordered adolescents. J Abnorm Child Psychol.1996;24:325-347.
FULL TEXT
|
WEB OF SCIENCE
| PUBMED
49. Bird HR, Davies M, Fisher P, et al. How specific is specific impairment? J Am Acad Child Adolesc Psychiatry.2000;39:1182-1189.
FULL TEXT
|
WEB OF SCIENCE
| PUBMED
50. Roberts RE, Attkisson C, Rosenblatt A. Prevalence of psychopathology among children and adolescents. Am J Psychiatry.1998;155:715-725.
WEB OF SCIENCE
| PUBMED
51. Costello EJ, Angold A, Burns BJ, Erkanli A, Stangle DK, Tweed DL. The Great Smoky Mountains Study of Youth. Arch Gen Psychiatry.1996;53:1137-1143.
FREE FULL TEXT
52. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition. Washington, DC: American Psychiatric Association; 1994.
53. Cochran WG. Sampling Techniques. 3rd ed. New York, NY: John Wiley & Sons; 1977.
54. Levy PS, Lemeshow S. Sampling of Populations: Methods and Applications. 3rd ed. New York, NY: John Wiley & Sons; 1999.
55. Puzzanchera C, Stahl A, Finnegan T, Snyder H, Poole R, Tierney N. Juvenile Court Statistics 1999 (forthcoming). Washington, DC: Office of Juvenile Justice and Delinquency Prevention; 2003.
56. Riggs PD, Mikulich SK, Whitmore EA, Crowley TJ. Relationship of ADHD, depression, and non-tobacco substance use disorders to nicotine dependence in substance-dependent delinquents. Drug Alcohol Depend.1999;54:195-205.
FULL TEXT
|
WEB OF SCIENCE
| PUBMED
57. Whitmore EA, Mikulich SK, Thompson LL, Riggs PD, Aarons GA, Crowley TJ. Influences on adolescent substance dependence. Drug Alcohol Depend.1997;47:87-97.
FULL TEXT
|
WEB OF SCIENCE
| PUBMED
58. Randall J, Henggeler SW, Pickrel SG, Brondino MJ. Psychiatric comorbidity and the 16-month trajectory of substance-abusing and substance-dependent juvenile offenders. J Am Acad Child Adolesc Psychiatry.1999;38:1118-1124.
FULL TEXT
|
WEB OF SCIENCE
| PUBMED
59. Brook JS, Cohen P, Brook DW. Longitudinal study of co-occurring psychiatric disorders and substance use. J Am Acad Child Adolesc Psychiatry.1998;37:322-330.
FULL TEXT
|
WEB OF SCIENCE
| PUBMED
60. Brook DW, Brook JS, Zhang C, Cohen P, Whiteman M. Drug use and the risk of major depressive disorder, alcohol dependence, and substance use disorders. Arch Gen Psychiatry.2002;59:1039-1044.
FREE FULL TEXT
61. Armstrong TD, Costello EJ. Community studies on adolescent substance use, abuse, or dependence and psychiatric comorbidity. J Consult Clin Psychol.2002;70:1224-1239.
FULL TEXT
|
WEB OF SCIENCE
| PUBMED
62. Costello EJ, Erkanli A, Federman E, Angold A. Development of psychiatric comorbidity with substance abuse in adolescents: effects of timing and sex. J Clin Child Psychol.1999;28:298-311.
FULL TEXT
|
WEB OF SCIENCE
| PUBMED
63. Lewinsohn PM, Gotlib IH, Seeley JR. Adolescent psychopathology, IV: specificity of psychosocial risk factors for depression and substance abuse in older adolescents. J Am Acad Child Adolesc Psychiatry.1995;34:1221-1229.
FULL TEXT
|
WEB OF SCIENCE
| PUBMED
64. Angold A, Costello EJ, Erkanli A. Comorbidity. J Child Psychol Psychiatry.1999;40:57-87.
FULL TEXT
|
WEB OF SCIENCE
| PUBMED
65. Kessler RC, Walters EE. Epidemiology of DSM-III-R major depression and minor depression among adolescents and young adults in the National Comorbidity Survey. Depress Anxiety.1998;7:3-14.
FULL TEXT
| PUBMED
66. King CA, Ghaziuddin N, McGovern L, Brand E, Hill E, Naylor M. Predictors of comorbid alcohol and substance abuse in depressed adolescents. J Am Acad Child Adolesc Psychiatry.1996;35:743-751.
FULL TEXT
|
WEB OF SCIENCE
| PUBMED
67. Nottlemann ED, Jensen PS. Comorbidity of disorders in children and adolescents. Adv Clin Child Psychol.1995;17:109-155.
68. Rohde P, Lewinsohn PM, Seeley JR. Psychiatric comorbidity with problematic alcohol use in high school students. J Am Acad Child Adolesc Psychiatry.1996;35:101-109.
FULL TEXT
|
WEB OF SCIENCE
| PUBMED
69. Deykin EY, Buka S. Prevalence and risk factors for posttraumatic stress disorder among chemically dependent adolescents. Am J Psychiatry.1997;154:752-757.
WEB OF SCIENCE
| PUBMED
70. Stowell RJA, Estroff TW. Psychiatric disorders in substance-abusing adolescent inpatients. J Am Acad Child Adolesc Psychiatry.1992;31:1036-1040.
WEB OF SCIENCE
| PUBMED
71. Milin R, Halikas JA, Meller JE, Morse C. Psychopathology among substance abusing juvenile offenders. J Am Acad Child Adolesc Psychiatry.1991;30:569-574.
WEB OF SCIENCE
| PUBMED
72. Riggs PD, Baker S, Mikulich SK, Young SE, Crowley TJ. Depression in substance-dependent delinquents. J Am Acad Child Adolesc Psychiatry.1995;34:764-771.
FULL TEXT
|
WEB OF SCIENCE
| PUBMED
73. Teplin LA. Psychiatric and substance abuse disorders among male urban jail detainees. Am J Public Health.1994;84:290-293.
WEB OF SCIENCE
| PUBMED
74. Teplin LA, Abram KM, McClelland GM. Prevalence of psychiatric disorders among incarcerated women, I. Arch Gen Psychiatry.1996;53:505-512.
FREE FULL TEXT
75. McCabe KM, Lansing AE, Garland A, Hough R. Gender differences in psychopathology, functional impairment, and familial risk factors among adjudicated delinquents. J Am Acad Child Adolesc Psychiatry.2002;41:860-867.
FULL TEXT
| PUBMED
76. Poe-Yamagata E, Butts JA. Female Offenders in the Juvenile Justice System. Washington, DC: Office of Juvenile Justice and Delinquency Prevention; 1996.
77. Tate DC, Reppucci ND, Mulvey EP. Violent juvenile delinquents: treatment effectiveness and implications for future action. Am Psychol.1995;50:777-781.
FULL TEXT
| PUBMED
78. Hartmann L. Children are left out. Psychiatr Serv.1997;48:953-954.
WEB OF SCIENCE
| PUBMED
79. Report to Congress on the Prevention and Treatment of Co-occurring Substance Abuse Disorders and Mental Disorders. Available at: http://www.samhsa.gov/news/cl_congress2002.html. Accessed March 19, 2003.
80. Cohen P, Parmelee DX, Irwin L, Weisz JR, Howard P, Purcell P, Best AM. Characteristics of children and adolescents in a psychiatric hospital and a corrections facility. J Am Acad Child Adolesc Psychiatry.1990;29:909-913.
WEB OF SCIENCE
| PUBMED
81. Goldstrom I, Jaiquan F, Henderson M, Male A, Manderscheid RW. The availability of mental health services to young people in juvenile justice facilities: a national study. In: Manderscheid RW, Henderson MJ, eds. Mental Health, United States, 2000. Rockville, Md: US Dept of Health and Human Services, Center for Mental Health Services; 2001:248-268.
82. Greenbaum PE, Foster-Johnson L, Petrila A. Co-occurring addictive and mental disorders among adolescents. Am J Orthopsychiatry.1996;66:52-60.
WEB OF SCIENCE
| PUBMED
83. Grisso T. Juvenile offenders and mental illness. Psychiatry Psychol Law.1999;6:143-151.
84. Wasserman GA, Jensen P, Ko SJ, et al. Mental health assessments in juvenile justice: report on the Consensus Conference. J Am Acad Child Adolesc Psychiatry.2003;42:751-761.
FULL TEXT
|
WEB OF SCIENCE
| PUBMED
85. Sickmund M, Wan Y. Census of Juveniles in Residential Placement Databook. Detailed offense profile by placement status for United States 1999. Available at: http://www.ojjdp.ncjrs.org/ojstatbb/cjrp. Accessed March 26, 2002.
86. Koroloff NM, Elliott DJ, Koren PE, Friesen BJ. Linking low-income families to children's mental health services. J Emotion Behav Dis.1996;4:2-11.
FULL TEXT
87. Easy Access to Juvenile Court Statistics: 1990-1999. Available at: http://ojjdp.ncjrs.org/ojstatbb/ezajcs. Accessed January 23, 2003.
88. Vander Stoep A, Evens CC, Taub JI. Risk of juvenile justice system referral among children in a public mental health system. J Ment Health Adm.1997;24:428-442.
WEB OF SCIENCE
| PUBMED
89. Widom CS, Maxfield MG. An Update on the "Cycle of Violence." Washington, DC: US Dept of Justice; 2001. Publication NCJ 184894.
90. Doren B, Bullis M, Benz MR. Predicting the arrest status of adolescents with disabilities in transition. J Spec Educ.1996;29:363-380.
FREE FULL TEXT
91. McKay MM, McCadam K, Gonzales JJ. Addressing the barriers to mental health services for inner city children and their caretakers. Community Ment Health J.1996;32:353-361.
FULL TEXT
|
WEB OF SCIENCE
| PUBMED
92. Kataoka SH, Zhang L, Wells KB. Unmet need for mental health care among US children. Am J Psychiatry.2002;159:1548-1555.
FULL TEXT
|
WEB OF SCIENCE
| PUBMED
93. US Department of Health and Human Services. Mental Health: Culture, Race, and EthnicityA Supplement to Mental Health: A Report of the Surgeon General. Rockville, Md: US Dept of Health and Human Services, Public Health Service, Office of the Surgeon General; 2001.
94. Moffitt RA, Slade EP. Health care coverage for children who are on and off welfare. Future Child.1997;7:87-98.
FULL TEXT
|
WEB OF SCIENCE
| PUBMED
95. Newacheck PW, Hughes DC, Cisternas M. Children and health insurance: an overview of recent trends. Health Aff (Millwood).1995;14:244-254.
FREE FULL TEXT
96. Fronstin P. Children without health insurance. Inquiry.1995;32:353-359.
WEB OF SCIENCE
| PUBMED
97. Lieu TA, Newacheck PW, McManus MA. Race, ethnicity, and access to ambulatory care among US adolescents. Am J Public Health.1993;83:960-965.
WEB OF SCIENCE
| PUBMED
98. Holl JL, Szilagyi PG, Rodewald LE, Byrd RS, Weitzman ML. Profile of uninsured children in the United States. Arch Pediatr Adolesc Med.1995;149:398-406.
FREE FULL TEXT
99. Flores G, Fuentes-Afflick E, Barbot O, et al. The health of Latino children: urgent priorities, unanswered questions, and a research agenda. JAMA.2002;288:82-90.
FREE FULL TEXT
100. Poe-Yamagata E, Jones MA. And Justice for Some. Washington, DC: Youth Law Center; 2000. Available at: www.buildingblocksforyouth.org. Accessed February 11, 2003.
101. Reynolds AJ, Temple JA, Robertson DL, Mann EA. Long-term effects of an early childhood intervention on educational achievement and juvenile arrest. JAMA.2001;285:2339-2346.
FREE FULL TEXT
102. Huizinga D, Elliott DS. Juvenile offenders: prevalence, offender incidence, and arrest rates by race. Crime Delinquency.1987;33:206-223.
103. Puzzanchera C, Stahl AL, Finnegan TA, Snyder HN, Poole RS, Tierney N. Juvenile Court Statistics 1997. Washington, DC: Office of Juvenile Justice and Delinquency Prevention; 2000.
104. Hoyt S, Sherer DG. Female juvenile delinquency: misunderstood by the juvenile justice system, neglected by social science. Law Hum Behav.1998;22:81-107.
FULL TEXT
|
WEB OF SCIENCE
| PUBMED
105. Ortega AN, Huertas SE, Canino G, Ramirez R, Rubio-Stipec M. Childhood asthma, chronic illness, and psychiatric disorders. J Nerv Ment Dis.2002;190:275-281.
FULL TEXT
|
WEB OF SCIENCE
| PUBMED
106. Combs-Orme T, Heflinger CA, Simpkins CG. Comorbidity of mental health problems and chronic health conditions in children. J Emotion Behav Dis.2002;10:116-125.
FULL TEXT
107. Gortmaker SL, Walker DK, Weitzman M, Sobol AM. Chronic conditions, socioeconomic risks, and behavioral problems in children and adolescents. Pediatrics.1990;85:267-276.
FREE FULL TEXT
108. Weil CM, Wade SL, Bauman LJ, Lynn H, Mitchell H, Lavigne JV. The relationship between psychosocial factors and asthma morbidity in inner-city children with asthma. Pediatrics.1999;104:1274-1280.
FREE FULL TEXT
109. Cadman D, Boyle M, Szatmari P, Offord DR. Chronic illness, disability, and mental and social well-being. Pediatrics.1987;79:805-813.
FREE FULL TEXT
110. Galil N. Depression and asthma in children. Curr Opin Pediatr.2000;12:331-335.
FULL TEXT
|
WEB OF SCIENCE
| PUBMED
111. Leibson CL, Katusic SK, Barbaresi WJ, Ransom J, O'Brien P. Use and costs of medical care for children and adolescents with and without attention-deficit/hyperactivity disorder. JAMA.2001;285:60-66.
FREE FULL TEXT
CiteULike Connotea Delicious Digg Facebook Reddit Technorati Twitter
What's this?
THIS ARTICLE HAS BEEN CITED BY OTHER ARTICLES
 |
Health Care for Youth in the Juvenile Justice System
Committee on Adolescence
Pediatrics 2011;128:1219-1235.
ABSTRACT
| FULL TEXT
Reliability and Construct Validity of Psychopathy Checklist: Youth Version Scores Among Incarcerated Adolescent Girls
Bauer et al.
Criminal Justice and Behavior 2011;38:965-987.
ABSTRACT
Problem Profiles of at-Risk Youth in two Service Programs: A Multigroup Exploratory Latent Class Analysis
Dembo et al.
Criminal Justice and Behavior 2011;38:988-1008.
ABSTRACT
Effects of Organizational Factors On Use of Juvenile Supervision Practices
Farrell et al.
Criminal Justice and Behavior 2011;38:565-583.
ABSTRACT
Mental Health Rehabilitation of Detained Juveniles: Using Time Wisely
Wills
J Am Acad Psychiatry Law 2011;39:150-153.
FULL TEXT
Violent and Nonviolent Delinquent Behavior Among Caucasian and Hispanic Youth in Mental Health Systems-of-Care Programs
Azur et al.
Youth Violence and Juvenile Justice 2011;9:134-149.
ABSTRACT
Prevalence and Psychosocial Correlates of Prior Incarcerations in an Urban, Predominantly African-American Sample of Hospitalized Patients With First-Episode Psychosis
Ramsay et al.
J Am Acad Psychiatry Law 2011;39:57-64.
ABSTRACT
| FULL TEXT
Gender Differences in Mental Health Problems and Violence Among Chicago Youth
Wareham and Paquette Boots
Youth Violence and Juvenile Justice 2011;9:3-22.
ABSTRACT
How Perceptions of Mortality and HIV Morbidity Relate to Substance Abuse Problems and Risky Sexual Behaviors Among Former Juvenile Offenders
Gromet et al.
Health Educ Behav 2010;37:801-814.
ABSTRACT
The Mental Health and Wellbeing of Adolescents on Remand in Australia
Sawyer et al.
Aust N Z J Psychiatry 2010;44:551-559.
ABSTRACT
| FULL TEXT
The Confluence of Mental Health and Psychopathic Traits in Adolescent Female Offenders
Cook et al.
Criminal Justice and Behavior 2010;37:119-135.
ABSTRACT
Variations in Mental Health Problems, Substance Use, and Delinquency Between African American and Caucasian Juvenile Offenders: Implications for Reentry Services
Vaughn et al.
Int J Offender Ther Comp Criminol 2008;52:311-329.
ABSTRACT
Psychiatric Disorder in a Juvenile Assessment Center
McReynolds et al.
Crime Delinquency 2008;54:313-334.
ABSTRACT
Psychiatric Symptoms and Substance Use Among Juvenile Offenders: A Latent Profile Investigation
Vaughn et al.
Criminal Justice and Behavior 2007;34:1296-1312.
ABSTRACT
An Assessment of Criminal Thinking Among Incarcerated Youths in Three States
Dembo et al.
Criminal Justice and Behavior 2007;34:1157-1167.
ABSTRACT
A Longitudinal Study of the Prevalence, Development, and Persistence of HIV/Sexually Transmitted Infection Risk Behaviors in Delinquent Youth: Implications for Health Care in the Community
Romero et al.
Pediatrics 2007;119:e1126-e1141.
ABSTRACT
| FULL TEXT
"Islands of Risk": Subgroups of Adolescents at Risk for HIV
Houck et al.
J Pediatr Psychol 2006;31:619-629.
ABSTRACT
| FULL TEXT
Mental Health Care in Juvenile Detention Facilities: A Review
Desai et al.
J Am Acad Psychiatry Law 2006;34:204-214.
ABSTRACT
| FULL TEXT
A Rasch Differential Item Functioning Analysis of the Massachusetts Youth Screening Instrument: Identifying Race and Gender Differential Item Functioning Among Juvenile Offenders
Cauffman and MacIntosh
Educational and Psychological Measurement 2006;66:502-521.
ABSTRACT
National Commission on Correctional Health Care Position Statement: Women's Health Care in Correctional Settings (2005 Update)
J Correct Health Care 2005;11:381-389.
The Availability of Behavioral Health Services for Youth in the Juvenile Justice System
Thomas et al.
J Am Psychiatr Nurses Assoc 2005;11:156-163.
ABSTRACT
Early Violent Death Among Delinquent Youth: A Prospective Longitudinal Study
Teplin et al.
Pediatrics 2005;115:1586-1593.
ABSTRACT
| FULL TEXT
Hepatitis C Virus Infection and Substance Abuse: Medical Management and Developing Models of Integrated Care--An Introduction
Kresina et al.
Clinical Infectious Diseases 2005;40:S259-S262.
FULL TEXT
An Examination and Replication of the Psychometric Properties of the Massachusetts Youth Screening Instrument-Second Edition (MAYSI-2) Among Adolescents in Detention Settings
Archer et al.
Assessment 2004;11:290-302.
ABSTRACT
Posttraumatic Stress Disorder and Trauma in Youth in Juvenile Detention
Abram et al.
Arch Gen Psychiatry 2004;61:403-410.
ABSTRACT
| FULL TEXT
|