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. Author manuscript; available in PMC: 2010 Apr 30.
Published in final edited form as: Arch Gen Psychiatry. 2002 Dec;59(12):1133–1143. doi: 10.1001/archpsyc.59.12.1133

Psychiatric Disorders in Youth in Juvenile Detention

Linda A Teplin 1, Karen M Abram 1, Gary M McClelland 1, Mina K Dulcan 1, Amy A Mericle 1
PMCID: PMC2861992  NIHMSID: NIHMS171651  PMID: 12470130

Abstract

Background

Given the growth of juvenile detainee populations, epidemiologic data on their psychiatric disorders are increasingly important. Yet, there are few empirical studies. Until we have better epidemiologic data, we cannot know how best to use the system’s scarce mental health resources.

Methods

Using the Diagnostic Interview Schedule for Children (DISC 2.3), interviewers assessed a randomly selected, stratified sample of 1829 African American, non-Hispanic white, and Hispanic youth (1172 males, 657 females, ages 10–18) arrested and detained in Cook County, Illinois (which includes Chicago and surrounding suburbs). We present six-month prevalence estimates by demographic subgroups (gender, race/ethnicity, and age) for the following disorders: affective disorders (major depressive episode, dysthymia, manic episode), anxiety (panic, separation anxiety, overanxious, generalized anxiety, and obsessive-compulsive disorders), psychosis, attention deficit hyperactivity disorder (ADHD), disruptive behavior disorders (oppositional defiant disorder, conduct disorder) and substance use disorders (alcohol and drug).

Results

Nearly two thirds of males and nearly three quarters of females met diagnostic criteria for one or more psychiatric disorders. Excluding conduct disorder (common among detained youth), nearly 60% of males and over two thirds of females met diagnostic criteria and had diagnosis-specific impairment for one or more psychiatric disorders. One half of males and almost one half of females had a substance use disorder, and over 40% of males and females met criteria for disruptive behavior disorders. Affective disorders were also prevalent, especially among females; 20% of females met criteria for a major depressive episode. Rates of many disorders were higher among females, non-Hispanic whites, and older adolescents.

Conclusion

These results suggest substantial psychiatric morbidity among juvenile detainees. Youth with psychiatric disorders pose a challenge for the juvenile justice system and, after their release, for the larger mental health system.


A great proportion of this country’s youth are now involved in the juvenile justice system. In 1999, the FBI estimated there were 2.5 million arrests of juveniles.1 In 1997, juvenile courts handled almost 1,800,000 delinquency cases.2 On an average day, over 106,000 youth are in custody in juvenile facilities.3 Almost 60% of detained youth are African American or Hispanic.3 Moreover, recent changes in the laws – mandatory penalties for drug crimes and lowering the age that juveniles can be tried as adults – have resulted in more juveniles than ever before serving time. There are currently 163,200 cases per year of juveniles convicted and serving sentences.2 Many are incarcerated in adult prisons, which do not have psychiatric services designed for juveniles. The number of females in the juvenile justice system is increasing at an even faster rate than the number of males3 and is at an all time high.2 Given the growth of juvenile detainee populations,4 epidemiologic data on their psychiatric disorders are increasingly important. Like adult detainees, juvenile detainees with serious mental disorders have a constitutional right (under the 8th and 14th Amendments) to receive needed treatment.5 Mental health professionals believe that providing psychiatric services to juvenile detainees could improve their quality of life and help reduce recidivism.68 Until we have better data, we cannot know how best to use the system’s scarce mental health resources.9,10

Despite the importance of psychiatric epidemiological data on juvenile detainees, there are few empirical studies10 and little consistency in results. Among studies published since 1980,7,1128 (summary table available from authors), rates for affective disorder varied from 2%15 to 88%.7 Rates of substance use disorders ranged from 13%14 to 88%.7 This disparity in findings may be because youth were sampled at various points in the juvenile justice system (e.g., at admission, after conviction, etc.). In addition, there are three methodological problems:

  1. Biased Samples. Previous studies used disparate exclusion criteria, e.g., excluding juveniles with psychotic symptoms, mental retardation or physical handicaps.11 Many studies excluded females entirely16,21 or sampled too few to analyze them.25

  2. Small Samples. Some severe disorders have low base rates, between 1 and 4%.29,30 Low base rates require large sample sizes to generate reliable estimates.31 Some studies sampled too few subjects to generate reliable rates even for the more common disorders.18,21

  3. Problems in Measurement. Some studies did not specify the diagnostic criteria,18 used nonstandard or untested instruments,16 or extracted diagnoses from case records.17

This study overcomes these methodological limitations. We have a large, random sample of juvenile detainees and used a reliable measure, the Diagnostic Interview Schedule for Children Version 2.3 (DISC),32 to determine psychiatric diagnoses.

SUBJECTS AND METHODS

Subjects and Sampling Procedures

Subjects were 1829 male and female youth, 10–18 years old, randomly sampled from intake into the Cook County Juvenile Temporary Detention Center (CCJTDC) from November 1995 through June 1998. The sample was stratified by gender, race/ethnicity (African American, non-Hispanic white, Hispanic), age (10–13 years of age or 14 years and older), and legal status (processed as a juvenile or as an adult) to obtain enough subjects to compare key subgroups, e.g., females, Hispanics, and younger children.

CCJTDC receives approximately 8500 admissions each year33 and is used solely for pretrial detention and for offenders sentenced for less than 30 days. All detainees under age 17 are held at CCJTDC, including youth processed as adults (automatic transfers to adult court). Youth up to age 21 may be detained in CCJTDC if they are still being prosecuted for an arrest that occurred when they were younger than 17.

Like juvenile detainees nationwide, approximately 90% of CCJTDC detainees are males, and most are racial/ethnic minorities.3 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 CCJTDC detainees are also similar to detained juveniles nationwide.3

We chose the detention center in Cook County (which includes Chicago and surrounding suburbs) for three reasons: First, nationwide, most juvenile detainees live in and are detained in urban areas.34 Second, Cook County is ethnically diverse and has the third largest Hispanic population in the US.35 Studying Hispanics is important because they are the largest minority group in the US36 and they are overrepresented in the justice systems.3 Finally, the detention center’s size (daily census of approximately 650 youth and intake of 20 youth per day) insured that enough subjects would be available.

No single site can represent the entire country because jurisdictions may have different options for diversion.37,38 Nevertheless, Illinois’ criteria for detaining juveniles are similar to other states’.37 All states allow pretrial detention if the juvenile needs protection, is likely to flee, or is considered a danger to the community.37,38

Detainees were eligible to participate, regardless of their psychiatric morbidity, state of drug or alcohol intoxication, or fitness to stand trial. Within each stratum, we used a random numbers table to select names from CCJTDC’s intake log. Throughout the study, we tracked how many subjects were still needed to fill each stratum. Project staff sampled the rarest cells first. When more than one subject was available for a stratum, 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, because they are detained, and because many do not have a parent or guardian who can provide appropriate consent.39 Project staff approached subjects on their units, explained the project and assured them that anything they told us (except acute suicidal or homicidal risk) would be confidential. Detainees who chose to participate signed an assent form (if they were under 18 years of age) or consent form (if they were 18 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)).39,40 The Northwestern University IRB, the CDC IRB, 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 CFR46.116(D)[4]).41,42 Despite repeated attempts to contact the parent or guardian, for 43.8% of subjects, none could be found. In lieu of parental consent, youth assent was overseen by a Participant Advocate representing the interests of the subjects. Federal regulations allow for a Participant Advocate if parental consent is not feasible (45 CFR 46.116[d]).41 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 gender, 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 7.07% (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 locating their caretakers for consent. Eleven others were excluded: nine subjects who became physically ill during the interview and could not finish it, one subject who was too cognitively impaired to be interviewed, and one subject who appeared to be lying. The final sample size was 1829. This N allows us to reliably detect disorders (i.e., distinguish them from zero) that have a base rate in the general population of 1.0% or greater with a power of .80.31

Subjects were interviewed in a private area, almost always within two 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 subjects 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 subjects.

Psychiatric Diagnoses

We used the Diagnostic Interview Schedule for Children (DISC) Version 2.3,32,43 the most recent English and Spanish versions then available. The DISC assesses the presence of disorders in the past six months. The DISC is highly structured, contains detailed symptom probes, has acceptable reliability and validity,32,4447 and requires relatively brief training.

Two diagnoses required special management. The psychosis module, a broad symptom screen, does not generate a specific diagnosis. Instead, this module flags subjects if they endorse any “possible” or “probable” pathognomonic symptoms or at least three non-pathognomonic symptoms. Over one quarter of our subjects scored positive on the screen. To be conservative, we counted these subjects as psychotic only if: (1) their symptoms persisted for at least one week; (2) they had not used alcohol, drugs, or medication during this time; and (3) a project clinician (a psychiatrist or clinical psychologist) reviewed the case and judged that the symptoms were “probably indicative of psychosis.” Twelve subjects met these criteria. Project clinicians also included another 8 subjects as psychotic who, although they denied symptoms, appeared to have auditory hallucinations, thought disorders or delusions during the interview.

ADHD is difficult to assess via self-report,48 and is even more challenging to diagnose among delinquent youth.49 In addition, the DSM-III-R requires that symptoms of ADHD be present before the age of seven. Age of onset is usually reported by the caretaker. Most of our subjects, even if they reported symptoms of ADHD, could not remember when their symptoms began. To avoid underreporting ADHD, we calculated rates in two ways: in the conventional manner (requiring that the subject report that symptoms were present before age seven) and counting the disorder as present regardless of the reported age of onset, as long as the duration criterion was met. (We present only the latter; the former rates are available from the authors.)

We determined rates of disorders in two ways. First, as most investigators have done, we used the DISC standard computer algorithms to calculate rates using DSM-III-R criteria. We then calculated more conservative (less inclusive) rates for diagnoses that met both DSM-III-R criteria and diagnosis-specific impairment criteria, reported by subjects.32 Although youth are poor reporters of their own impairment,32,50 we calculated these latter rates because recent reviews suggest that psychiatric diagnoses are more accurately determined by the presence of both symptoms and functional impairment.32,51,52 (We also examined rates using DSM-III-R criteria and a global measure of functional impairment, the Children’s Global Assessment Scale.53,54 These rates, substantially similar to those reported here, are available from the authors.)

Statistical Analysis

Because we stratified our sample by gender, 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 standard errors and tests of significance have been corrected for design characteristics with Taylor series linearization.55,56 We used two-tailed tests; our level of significance for all tests was .05. We report all disorders for males and females separately because combining them masks important differences.

RESULTS

Table 1 presents unweighted demographic characteristics of our sample. Table 2 shows that nearly two thirds of the males and nearly three quarters of females met diagnostic criteria for one or more of the disorders listed. The more conservative estimates using the diagnosis-specific impairment criteria are only slightly lower. We also calculated overall rates excluding conduct disorder because many symptoms are related to delinquent behaviors; Table 2 shows that overall rates excluding conduct disorder (with and without diagnosis-specific impairment criteria) dropped only slightly.

Table 1.

Unweighted Sample Characteristics*

Characteristic (N=1829) (%) of Participants
Race/Ethnicity
 African American 1005 54.9
 Non-Hispanic White 296 16.2
 Hispanic 524 28.7
 Other 4 0.2
Sex
 Male 1172 64.1
 Female 657 35.9
Age, y
 Mean 14.9
 Median 15
 Mode 16
Specific ages, y
 10 7 0.4
 11 20 1.1
 12 87 4.8
 13 258 14.1
 14 217 11.9
 15 498 27.2
 16 644 35.2
 17 89 4.9
 18 9 0.5
Education, grade
 <=6th 89 4.9
 7th 171 9.3
 8th 306 16.7
 9th 568 31.1
 10th 455 24.9
 11th 172 9.4
 12th 27 1.5
 Currently in GED Classes 31 1.7
 Alternative or home schooling 5 0.3
 Unknown 5 0.3
Legal Status
 Processed in adult court (automatic transfer) 275 15.0
 Processed in juvenile court 1554 85.0
*

Percentages may not sum to 100% due to rounding error.

Table 2.

Six-Month Prevalence and Odds Ratios of DSM III-R Diagnoses by Sex with and without Diagnosis-Specific Impairment Criteria*

DISORDER MALE (%, 95% CI) (n = 1170) FEMALE (%, 95% CI) (n = 656) FEMALE TO MALE ODDS RATIOS (OR, 95% CI)

Diagnosis Diagnosis with Impairment Diagnosis Diagnosis with Impairment Diagnosis Diagnosis with Impairment
% LCI UCI % LCI UCI % LCI UCI % LCI UCI OR LCI UCI OR LCI UCI
ANY OF THE LISTED DISORDERS 66.3 61.6 70.7 63.3 58.6 67.8 73.8 70.1 77.1 71.2 67.5 74.7 1.43 1.09 1.88 1.43 1.10 1.87
ANY EXCEPT CONDUCT DISORDER 60.9 56.2 65.5 59.7 54.9 64.3 70.0 66.2 73.5 68.2 64.4 71.8 1.49 1.15 1.94 1.45 1.12 1.88
ANY AFFECTIVE DISORDER 18.7 15.2 22.8 16.1 12.8 20.0 27.6 23.6 32.0 22.9 19.0 27.2 1.66 1.20 2.29 1.55 1.09 2.20
 Major depressive episode 13.0 10.0 16.6 11.0 8.3 14.5 21.6 17.8 25.9 18.9 15.2 23.2 1.85 1.27 2.70 1.88 1.25 2.82
 Dysthymia 12.2 9.3 15.8 9.9 7.3 13.2 15.8 13.1 18.8 12.5 10.2 15.3 1.34 0.93 1.95 1.31 0.87 1.96
 Manic episode 2.2 1.1 4.3 2.0 1.0 4.1 1.8 1.0 3.2 1.2 0.6 2.4 0.81 0.33 1.99 0.58 0.21 1.63
PSYCHOTIC DISORDERS 1.0 0.4 2.6 1.0 0.5 2.1 0.98 0.30 3.25
ANY ANXIETY DISORDER 21.3 17.6 25.6 20.7 17.0 24.9 30.8 27.2 34.6 28.9 25.5 32.7 1.64 1.22 2.20 1.56 1.16 2.10
 Panic disorder 0.3 0.1 0.6 0.1 0.0 0.4 1.5 0.8 2.7 1.0 0.5 2.0 5.65 2.04 15.65 8.13 2.01 32.85
 Separation anxiety disorder 12.9 9.9 16.5 10.8 8.1 14.2 18.6 15.7 21.9 16.3 13.6 19.4 1.55 1.08 2.21 1.61 1.10 2.34
 Overanxious disorder 6.7 4.6 9.7 5.9 4.0 8.7 12.3 9.9 15.1 11.5 9.2 14.2 1.95 1.23 3.10 2.06 1.27 3.35
 Generalized anxiety disorder 7.1 4.9 10.2 6.4 4.3 9.4 7.3 5.6 9.6 6.8 5.1 9.0 1.03 0.63 1.69 1.07 0.64 1.79
 Obsessive-compulsive disorder 8.3 6.1 11.3 10.6 8.4 13.2 1.31 0.86 2.00
ATTENTION-DEFICIT/HYPERACTIVITY DISORDER 16.6 13.3 20.5 11.2 8.5 14.6 21.4 18.4 24.8 16.4 13.7 19.5 1.37 0.99 1.89 1.55 1.07 2.25
ANY DISRUPTIVE BEHAVIOR DISORDER 41.4 36.8 46.2 31.4 27.2 36.0 45.6 41.4 49.8 38.0 33.9 42.2 1.19 0.92 1.53 1.33 1.02 1.75
 Oppositional-defiant disorder 14.5 11.4 18.2 12.6 9.8 16.2 17.5 14.7 20.6 15.1 12.5 18.1 1.25 0.89 1.76 1.23 0.86 1.76
 Conduct disorder 37.8 33.3 42.6 24.3 20.5 28.5 40.6 36.5 44.8 28.5 24.6 32.8 1.12 0.86 1.46 1.24 0.92 1.67
ANY SUBSTANCE USE DISORDER 50.7 45.9 55.5 46.8 42.6 51.1 0.86 0.66 1.11
 Alcohol use disorder 25.9 21.9 30.4 26.5 22.6 30.9 1.03 0.76 1.40
 Marijuana use disorder 44.8 40.1 49.6 40.5 36.8 44.4 0.84 0.65 1.08
 Other substance use disorder 2.4 1.7 3.4 6.9 4.1 11.4 3.00 1.57 5.74
 Both alcohol and other drug use disorders 20.7 17.0 24.9 20.9 18.0 24.2 1.01 0.75 1.38
*

CI indicates confidence interval. Ellipses indicate that diagnosis and diagnosis with impairment are identical because the diagnostic criteria for psychotic disorders, obsessive-compulsive disorder, and substance use disorders include impairment.

Attention-deficit/hyperactivity disorder is reported without the criterion of onset before age 7 years because caretaker information is not available and self-report of symptoms before age 7 years is unreliable.

The most common disorders among both males and females were substance use disorders and disruptive behavior disorders (oppositional defiant disorder and conduct disorder). One half of males and almost one half of females met criteria for a substance use disorder, and over 40% of males and females met criteria for disruptive behavior disorders. Rates of disorder using diagnosis-specific impairment criteria for conduct disorder are more than 10% lower than conduct disorder without impairment. Over one fourth of females and almost one fifth of males met criteria for one or more affective disorders.

Table 2 also reports the female-to-male odds ratios. Odds ratios greater than 1.0 indicate that females had higher odds of having the disorder than males had; those less than 1.0 show that females had lower odds of having the disorder. Females had significantly higher odds than males of having any disorder, any disorder except conduct disorder, any affective disorder, major depressive episode, any anxiety disorder, panic disorder, separation anxiety disorder, overanxious disorder, and substance use disorder other than alcohol or marijuana.

Tables 3 and 4 show the prevalence rates of disorders for males and females by race/ethnicity. Cases in these and subsequent tables met DSM-III-R criteria. (Tables of disorders meeting diagnosis-specific impairment criteria also are available from the authors.) We report protected tests of significance for specific racial/ethnic contrasts only when the overall test was significant. Table 3 shows that among males, non-Hispanic whites had the highest rates of many disorders and African Americans the lowest. Specifically, compared to African Americans, non-Hispanic whites had significantly higher rates of any disorder, any disorder except conduct disorder, any disruptive behavior disorder, conduct disorder, any substance use disorder, and substance use disorder other than alcohol or marijuana. The only disorder where African Americans had significantly higher rates than non-Hispanic whites was separation anxiety disorder. Hispanics had significantly higher rates than non-Hispanic whites of any anxiety disorder and separation anxiety disorder. Hispanics had higher rates than African Americans of panic disorder, obsessive-compulsive disorder, and substance use other than alcohol or marijuana disorders. Non-Hispanic whites had higher rates than Hispanics of any disorder, any disruptive behavior disorder, conduct disorder, and substance use disorder other than alcohol or marijuana.

Table 3.

Six-Month Prevalence of DSM III-R Diagnoses for Males by Race/Ethnicity*

African-American (n = 574) Non-Hispanic White (n = 207) Hispanic (n = 386) Over-all Significance Protected Tests
% LCI UCI % LCI UCI % LCI UCI
ANY OF THE LISTED DISORDERS 64.6 58.8 69.9 82.0 76.2 86.7 70.4 63.3 76.7 < .001 White > African American; White > Hispanic
ANY EXCEPT CONDUCT DISORDER 59.4 53.5 65.0 72.9 66.5 78.6 65.3 58.1 71.9 0.009 White > African American
ANY AFFECTIVE DISORDER 18.6 14.4 23.6 13.8 9.6 19.5 21.5 15.3 29.3 0.19
 Major depressive episode 12.5 9.1 17.0 9.5 6.0 14.6 16.6 10.8 24.7 0.20
 Dysthymia 12.2 8.8 16.7 9.5 6.1 14.5 13.3 8.4 20.6 0.53
 Manic episode 2.5 1.2 5.2 0.5 0.1 3.7 1.4 0.6 3.2 0.27
PSYCHOTIC DISORDERS 1.0 0.3 3.2 2.6 1.1 6.2 0.7 0.2 2.6 0.19
ANY ANXIETY DISORDER 20.9 16.5 26.1 14.4 10.1 20.2 25.5 18.7 33.7 0.046 Hispanic > White
 Panic disorder 0.1 0.0 0.4 0.5 0.1 3.7 1.0 0.3 3.1 0.04 Hispanic > African American
 Separation anxiety disorder 12.7 9.3 17.2 5.9 3.3 10.3 15.5 9.8 23.6 0.02 African American > White; Hispanic > White
 Overanxious disorder 6.9 4.4 10.7 2.9 1.3 6.6 7.0 3.6 13.0 0.16
 Generalized anxiety disorder 7.5 4.8 11.4 2.5 1.0 5.9 7.2 3.7 13.3 0.08
 Obsessive-compulsive disorder 6.5 4.2 10.0 9.3 5.8 14.4 17.0 10.7 25.9 0.01 Hispanic > African American
ATTENTION-DEFICIT/HYPERACTIVITY DISORDER 17.0 13.0 21.9 20.9 15.8 27.3 13.7 9.4 19.5 0.18
ANY DISRUPTIVE BEHAVIOR DISORDER 39.8 34.2 45.7 60.3 53.3 66.9 43.3 36.1 50.8 < .001 White > African American; White > Hispanic
 Oppositional-defiant disorder 14.4 10.7 19.1 19.4 14.4 25.6 13.6 9.3 19.5 0.23
 Conduct disorder 35.6 30.1 41.5 59.9 53.0 66.5 41.7 34.5 49.2 < .001 White > African American; White > Hispanic
ANY SUBSTANCE USE DISORDER 49.1 43.2 55.0 62.6 55.7 69.0 55.4 47.8 62.7 0.01 White > African American
 Alcohol use disorder 24.6 19.8 30.2 30.1 24.0 36.9 30.8 24.1 38.5 0.28
 Marijuana use disorder 44.4 38.6 50.4 53.8 46.8 60.6 45.4 38.0 52.9 0.11
 Other substance use disorder 0.5 0.1 2.8 21.1 15.9 27.4 6.0 3.9 9.1 < .001 White > African American; White > Hispanic; Hispanic > African American
 Both alcohol and other drug use disorders 20.4 16.0 25.7 24.0 18.5 30.6 21.7 16.5 28.0 0.65
*

CI indicates confidence interval. Two cases of “other” race/ethnicity are excluded from this table.

Protected tests are performed only if the alpha for the overall test is less than .05.

Attention-deficit/hyperactivity disorder is reported without the criterion of onset before the age of 7 years because caretaker information is not available and self-report of symptoms before the age of 7 years is unreliable.

Table 4.

Six-Month Prevalence DSM III-R Diagnoses for Females by Race/Ethnicity*

African American (n = 430) Non-Hispanic White (n = 89) Hispanic (n = 136) Over- all Significance Protected Tests
% LCI UCI % LCI UCI % LCI UCI
ANY OF THE LISTED DISORDERS 70.9 66.4 75.0 86.1 77.1 92.0 75.9 67.9 82.5 0.01 White > African American
ANY EXCEPT CONDUCT DISORDER 67.4 62.8 71.6 83.9 74.6 90.3 69.5 61.2 76.7 0.01 White > African American; White > Hispanic
ANY AFFECTIVE DISORDER 26.2 22.2 30.5 23.4 15.8 33.4 28.7 21.8 36.9 0.68
 Major depressive episode 19.7 16.2 23.7 19.0 12.1 28.5 22.8 16.5 30.5 0.70
 Dysthymia 15.5 12.4 19.2 17.9 11.2 27.3 17.2 11.8 24.5 0.80
 Manic episode 1.9 0.9 3.7 1.1 0.2 7.5 2.1 0.7 6.4 0.85
PSYCHOTIC DISORDERS 0.9 0.4 2.5 0.0 2.1 0.7 6.3 .29
ANY ANXIETY DISORDER 31.2 27.0 35.8 30.0 21.4 40.3 32.6 25.2 40.9 0.92
 Panic disorder 0.9 0.4 2.5 3.4 1.1 10.0 2.8 1.0 7.1 0.17
 Separation anxiety disorder 18.9 15.5 22.9 14.5 8.6 23.4 21.7 15.5 29.4 0.41
 Overanxious disorder 12.5 9.7 16.0 11.1 6.1 19.5 13.2 8.4 20.1 0.90
 Generalized anxiety disorder 6.6 4.6 9.4 4.4 1.7 11.3 13.1 8.4 19.9 0.03 Hispanic > African American; Hispanic > White
 Obsessive-compulsive disorder 10.3 7.8 13.6 12.4 7.0 21.1 10.6 6.5 16.9 0.84
ATTENTION-DEFICIT/HYPERACTIVITY DISORDER§ 20.0 16.5 24.1 22.2 14.7 32.0 29.3 22.2 37.5 0.08
ANY DISRUPTIVE BEHAVIOR DISORDER 39.4 34.9 44.1 61.6 51.0 71.1 56.5 47.9 64.6 <.001 White > African American; Hispanic > African American
 Oppositional-defiant disorder 15.8 12.7 19.6 17.8 11.1 27.1 26.2 19.5 34.3 0.03 Hispanic > African American
 Conduct disorder 34.3 29.9 38.9 58.9 48.3 68.7 50.2 41.8 58.6 <.001 White > African American; Hispanic > African American
ANY SUBSTANCE USE DISORDER 42.3 37.6 47.1 61.9 51.2 71.6 51.7 43.1 60.1 0.002 White > African American
 Alcohol use disorder 21.2 17.5 25.3 39.2 29.5 49.9 34.0 26.4 42.5 <.001 White > African American; Hispanic > African American
 Marijuana use disorder 37.8 33.3 42.5 53.4 42.9 63.6 44.7 36.3 53.3 0.02 White > African American
 Other substance use disorder 0.9 0.4 2.5 20.0 12.9 29.6 14.7 9.7 21.5 <.001 White > African American; Hispanic > African American
 Both alcohol and other drug use disorders 17.2 13.9 21.1 35.1 25.7 45.8 28.3 21.2 36.7 <.001 White > African American; Hispanic > African American
*

CI indicates confidence interval. Two cases of “other” race/ethnicity are excluded from this table.

Protected tests are performed only if the alpha for the overall test is less than .05.

Test computed with 1 df because of empty cells.

§

Attention-deficit/hyperactivity disorder is reported without the criterion of onset before the age of 7 years because caretaker information is not available and self-report of symptoms before the age of 7 years is unreliable.

Table 4 compares rates by race/ethnicity for females. Non-Hispanic white females had significantly higher rates than African Americans of any disorder, any disorder except conduct disorder, any disruptive behavior disorder, conduct disorder and all substance use disorders, and higher rates than Hispanics of any disorder except conduct disorder. Hispanic females had higher rates of generalized anxiety disorder than either African American or white females. Compared to African Americans, Hispanic females had higher rates of all disruptive behavior disorders, conduct disorder, alcohol use disorder, substance use disorder other than alcohol or marijuana, and both alcohol and drug use disorder.

Tables 5 and 6 show the prevalence rates of disorders for males and females by age. Among males, Table 5 shows that the youngest age group had the lowest rates of many disorders. They had significantly lower rates than both older age groups of any disorder, any disorder except conduct disorder, generalized anxiety disorder and all the substance use disorders. The 14–15 year old group had higher rates of psychotic disorders than the 16+ age group.

Table 5.

Six-Month Prevalence of DSM III-R Diagnosis for Males by Age*

Age <=13 Years (n = 315) Age 14 and 15 Years (n = 361) Age >=16 Years (n = 494) Over- all Significance Protected Tests
% LCI UCI % LCI UCI % LCI UCI
ANY OF THE LISTED DISORDERS 52.7 46.5 58.8 68.0 60.3 74.8 67.3 60.3 73.7 0.001 14 and 15 years > 13 years and younger; 16 years and older > 13 years and younger
ANY EXCEPT CONDUCT DISORDER 44.9 38.9 51.0 63.4 55.6 70.6 61.8 54.7 68.5 < .001 14 and 15 years > 13 years and younger; 16 years and older > 13 years and younger
ANY AFFECTIVE DISORDER 13.0 9.4 17.6 21.2 15.4 28.4 17.7 12.9 23.7 0.09
 Major depressive episode 7.5 4.9 11.4 14.8 10.0 21.5 12.4 8.5 17.8 0.06
 Dysthymia 7.3 4.7 11.3 14.5 9.7 21.1 11.2 7.4 16.4 0.08
 Manic episode 1.6 0.7 4.0 2.6 0.9 7.2 2.0 0.7 5.1 0.80
PSYCHOTIC DISORDERS 0.0 2.1 0.7 6.0 0.3 0.2 0.8 0.01 14 and 15 years > 16 years and older
ANY ANXIETY DISORDER 17.7 13.6 22.9 23.0 16.9 30.4 20.6 15.5 26.7 0.42
 Panic disorder 0.8 0.2 3.3 0.1 0.0 0.9 0.3 0.1 0.9 0.25
 Separation anxiety disorder 10.0 6.9 14.3 14.5 9.7 21.1 12.0 8.1 17.5 0.40
 Overanxious disorder 4.8 2.8 8.0 5.1 2.6 9.9 8.4 5.1 13.5 0.25
 Generalized anxiety disorder 1.3 0.5 3.4 5.9 3.1 11.0 9.2 5.8 14.4 0.001 14 and 15 years > 13 years and younger; 16 years and older > 13 years and younger
 Obsessive-compulsive disorder 6.0 3.7 9.7 9.4 5.7 15.0 7.8 4.9 12.2 0.43
ATTENTION-DEFICIT/HYPERACTIVITY DISORDER§ 12.5 9.1 16.9 20.9 15.1 28.0 13.8 9.7 19.2 0.06
ANY DISRUPTIVE BEHAVIOR DISORDER 32.9 27.5 38.8 43.5 35.9 51.3 41.2 34.5 48.2 0.06
 Oppositional-defiant disorder 10.7 7.5 14.9 18.2 12.8 25.1 12.1 8.3 17.3 0.08
 Conduct disorder 30.8 25.6 36.6 41.1 33.6 49.1 36.4 30.0 43.3 0.10
ANY SUBSTANCE USE DISORDER 28.3 23.1 34.0 51.3 43.5 59.1 54.4 47.3 61.3 < .001 14 and 15 years > 13 years and younger; 16 years and older > 13 years and younger
 Alcohol use disorder 12.9 9.5 17.4 25.6 19.3 33.0 28.7 22.8 35.4 < .001 14 and 15 years > 13 years and younger; 16 years and older > 13 years and younger
 Marijuana use disorder 25.1 20.3 30.5 46.9 39.1 54.8 46.8 39.8 53.9 < .001 14 and 15 years > 13 years and younger; 16 years and older > 13 years and younger
 Other substance use disorder 0.8 0.4 1.7 2.5 1.2 5.0 2.6 1.9 3.6 0.01 14 and 15 years > 13 years and younger; 16 years and older > 13 years and younger
 Both alcohol and other drug use disorders 10.2 7.2 14.3 21.5 15.7 28.7 22.0 16.7 28.3 < .001 14 and 15 years > 13 years and younger; 16 years and older > 13 years and younger
*

CI indicates confidence interval.

Protected tests are performed only if the alpha for the overall test is less than .05.

Test computed with 1 df because of empty cells.

§

Attention-deficit/hyperactivity disorder is reported without the criterion of onset before the age of 7 years because caretaker information is not available and self-report of symptoms before the age of 7 years is unreliable.

Table 6.

Six-Month Prevalence of DSM III-R Diagnosis for Females by Age*

Aqe <=13 Years (n = 56) Age 14 and 15 Years (n = 353) Age >=16 Years (n = 247) Over- all Significance Protected Tests
% LCI UCI % LCI UCI % LCI UCI
ANY OF THE LISTED DISORDERS 66.7 53.2 77.9 72.2 67.2 76.7 77.6 71.6 82.7 0.18
ANY EXCEPT CONDUCT DISORDER 64.7 51.2 76.2 67.4 62.2 72.1 74.8 68.6 80.2 0.13
ANY AFFECTIVE DISORDER 20.7 12.0 33.3 27.9 23.5 32.9 28.8 21.2 37.8 0.50
 Major depressive episode 13.0 6.5 24.2 21.6 17.6 26.3 23.4 16.0 32.9 0.27
 Dysthymia 10.4 4.7 21.4 15.6 12.2 19.8 17.2 12.8 22.6 0.46
 Manic episode 3.9 1.0 14.4 1.4 0.6 3.3 1.9 0.8 4.7 0.45
PSYCHOTIC DISORDERS 0.0 0.6 0.2 2.5 1.8 0.7 4.3 0.21
ANY ANXIETY DISORDER 26.6 16.7 39.7 32.6 27.8 37.7 29.2 23.4 35.7 0.55
 Panic disorder 1.9 0.3 12.4 1.7 0.8 3.6 1.0 0.3 3.2 0.75
 Separation anxiety disorder 18.1 10.0 30.6 19.7 15.8 24.2 17.2 12.9 22.7 0.77
 Overanxious disorder 7.1 2.7 17.7 13.8 10.5 17.8 11.4 7.9 16.1 0.34
 Generalized anxiety disorder 3.8 1.0 14.1 7.1 4.9 10.3 8.4 5.5 12.7 0.51
 Obsessive-compulsive disorder 10.4 4.7 21.5 11.8 8.8 15.7 8.8 5.8 13.1 0.51
ATTENTION-DEFICIT/HYPERACTIVITY DISORDER§ 26.6 16.6 39.7 22.7 18.6 27.4 18.5 14.0 24.0 0.30
ANY DISRUPTIVE BEHAVIOR DISORDER 44.7 32.2 57.9 50.0 44.8 55.2 39.6 32.0 47.8 0.11
 Oppositional-defiant disorder 30.5 19.9 43.6 20.2 16.4 24.7 10.7 7.3 15.2 <.001 13 years and younger > 16 years and older; 14 and 15 years > 16 years and older
 Conduct disorder 33.0 22.0 46.3 45.3 40.2 50.5 35.7 28.1 44.2 0.06
ANY SUBSTANCE USE DISORDER 30.5 19.9 43.7 45.8 40.6 51.2 52.0 44.5 59.4 0.02 14 and 15 years > 13 years and younger; 16 years and older > 13 years and younger
 Alcohol use disorder 16.7 9.1 28.6 25.4 21.1 30.3 30.3 22.7 39.2 0.16
 Marijuana use disorder 24.8 15.3 37.5 41.3 36.2 46.6 43.3 37.1 49.7 0.04 14 and 15 years > 13 years and younger; 16 years and older > 13 years and younger
 Other substance use disorder 5.9 2.2 14.9 5.3 3.5 7.8 9.5 3.7 22.2 0.52
 Both alcohol and other drug use disorders 11.5 5.5 22.5 21.8 17.7 26.4 22.0 17.2 27.6 0.20
*

CI indicates confidence interval.

Protected tests are performed only if the alpha for the overall test is less than .05.

Test computed with 1 df because of empty cells.

§

Attention-deficit/hyperactivity disorder is reported without the criterion of onset before the age of 7 years because caretaker information is not available and self-report of symptoms before the age of 7 years is unreliable.

Table 6 shows somewhat different patterns of disorder for females. The oldest age group has significantly higher rates of any disorder except conduct disorder than the two younger groups, and significantly lower rates of oppositional defiant disorder than the younger age groups. The youngest age group had significantly lower rates of any substance use disorder and marijuana use disorder than either of the older age groups.

DISCUSSION

Our study shows that youth with psychiatric disorders pose a challenge for the juvenile justice system and, after their release, for the larger mental health system. Even after excluding conduct disorder, we found that nearly 60% of male juvenile detainees and over two thirds of females met diagnostic criteria and had diagnosis-specific impairment for one or more psychiatric disorders. These rates may underestimate the true prevalence among youth entering the juvenile justice system for two 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, or because they were referred directly into the mental health system. Second, underreporting of symptoms and impairments by youth is common, especially for disruptive behavior disorders.48

It is difficult to compare our findings to studies of general population youth because rates vary widely, depending on the sample, the method, the source of data (subject or collaterals), and whether or not functional impairment was required.51 Despite these differences, our overall rates are substantially higher than the median rate reported in a major review article (15%)51 and other more recent investigations: the Great Smoky Mountains Study (20.3%),57 the Virginia Twin Study of Adolescent Behavioral Development (142 cases per 1000 persons), 58 the Methods for the Epidemiology of Child and Adolescent Mental Disorders (MECA) (6.1%)32 and the Miami-Dade County Public School Study (38%).59 We are especially concerned about the high rates of depression and dysthymia among detained youth (17.2% of males, 26.3% of females), which are also higher than general population rates.52,5762 Depressive disorders are difficult to detect (and treat) in the chaos of the corrections milieu. Overall, our prevalence rates are comparable to rates in other high risk populations, e.g. maltreated or runaway youth.63,64

Our data highlight an important paradox regarding race/ethnicity. Over one half of the youth in our juvenile justice system are African American or Hispanic. Therefore, most delinquent youth with psychiatric disorders are minorities. The prevalence, however, of many disorders is highest among non-Hispanic Whites. Thus, white youth in the juvenile justice system may, on average, be more dysfunctional (have greater psychiatric morbidity) than minorities.

Females had higher rates than males of many psychiatric disorders: major depressive episode, some anxiety disorders, and “other substance use disorders” (e.g., cocaine and hallucinogens). Our findings confirm those of prior studies of adult female detainees and conduct-disordered females, which find that females have higher rates of psychiatric disorders than do males.65,66

Overall, the youngest age group (age 13 and younger) had the lowest prevalence rates of most disorders, confirming studies of general population youth.58,6769 Many youth in the juvenile justice system may develop new or additional disorders as they age.

Limitations

Our study provides only a “snapshot” of our subjects’ psychopathology immediately after arrest and detention. We cannot know whether mental disorder causes delinquency, increases the likelihood of arrest and detention, or is merely a frequent trait among delinquent youth. Some symptoms could be a reaction to incarceration. Moreover, our rates might differ somewhat if we had been able to use DSM-IV instead of DSM-III-R criteria. Our findings, drawn from only one site, may pertain only to youth in urban detention centers with similar demographic composition. Finally, because it was not feasible to interview caretakers, our data are subject to the limitations of self-report.

Despite these limitations, our study has important implications for research on delinquent youth and on mental health policy.

Future Research

We suggest three directions for future research:

  1. Studies of patterns and sequences of comorbidity. Examining comorbidity is critical because it is so prevalent among juveniles in the general population, 70,71 adult jail detainees,72 and adults who have high arrest rates: substance abusers,73 young chronic psychiatric patients,74 and homeless mentally ill persons.75 Moreover, studies of adults suggest that juveniles with comorbid disorders may be especially vulnerable to arrest, particularly if they are poor and cannot afford treatment.72 Data on the sequences of comorbidity would help provide the foundation for innovative treatments and to tailor services for special populations such as females and minorities.

  2. Studies of females in the juvenile justice system. Females are increasingly arrested for crimes against persons and violent crimes76 and comprise an increasingly large proportion of delinquent youth.1,2 Prior studies of conduct disordered youth (many of whom will become delinquent) suggest that females have greater persistence of emotional disorder and worse outcomes than males.77,78 Moreover, their problem behaviors often persist beyond adolescence. As they age, they may become suicidal, alcohol- or drug-addicted, enmeshed in violent relationships, and unable to care for their children.65,77 Delinquent females also engage in sexual activity at an earlier age than non-offenders, placing them at greater risk for unwanted pregnancy and HIV.79 Understanding psychiatric morbidity and associated risk factors among delinquent females could help us to improve treatment and reduce the cycle of disorder and dysfunction.

  3. Longitudinal studies. Many youth in the juvenile justice population may develop new disorders as they age. Risk factors for the development of disorders80 are common among delinquent youth: physical and sexual abuse, a troubled family environment, parental substance abuse, poverty, poor education, neighborhood disintegration, and neglect.8185 Delinquent youth have few protective factors to offset these risks.86 Thus, most youth in the juvenile justice system are at great risk for psychopathology, problem behaviors, even early death.87,88 Longitudinal studies are needed to examine why some delinquent youth develop new psychopathology and others do not, to investigate protective factors, and to determine how vulnerability and risk differ by key variables such as gender and race/ethnicity. We are now collecting longitudinal data on our subjects. Future papers will address persistence and change in psychiatric disorders (including onset, remission, and recurrence), comorbidity, associated functional impairments, and the risk and protective factors related to these disorders and impairments.

Implications for Mental Health Policy

Advocacy groups, researchers, and public policy experts believe that the juvenile justice system has become the only alternative for many poor and minority youth with psychiatric disorders.8993 Many states have imposed more severe sanctions for delinquent youth and transfer increasing numbers of juveniles to adult court,9496 policies that disproportionately affect minority youth.95,97 In addition, two recent changes in public health policy may have inadvertently contributed to the criminalization of mentally disordered youth:

  1. Welfare Reform. Welfare reform has disrupted Medicaid benefits for millions of children who need treatment.98,99 Medicaid enables many youth to receive psychiatric treatment.100 Many parents who left welfare to go to work found their new jobs did not provide insurance or, when available, they could not afford copayments.101,102 The State Children’s Health Insurance Program, designed to offset the loss of Medicaid, did not fulfill its intended purpose.99,103 Moreover, welfare reform has not substantially decreased poverty104 and some poor children have become even poorer.105 Poor children are vulnerable to poor outcomes,106 including involvement with the juvenile justice system.

  2. Managed Care. Managed care now dominates the private insurance industry93 and increasingly controls public insurance benefits, such as Medicaid.107,108 Many disorders prevalent among delinquent youth _ conduct disorder, ADHD, substance use disorders _ are often not covered or have restrictive treatment guidelines.109 As the public health system reduces services, youth with psychiatric disorders may increasingly fall through the cracks into the juvenile justice system.110

These changes – welfare reform and managed care – have the most serious consequences for poor and minority children, groups overrepresented in the juvenile justice system. Our findings are even more sobering because the prevalence of psychosocial problems among youth appears to be increasing.111, 112 The Surgeon General reports that the unmet need for services is as high now as it was 20 years ago.113 Even youth who are insured often cannot obtain treatment because few child and adolescent psychiatrists practice in poor and minority neighborhoods.114,115

The juvenile justice system is not equipped to provide adequate mental health services for the large numbers of detainees with psychiatric disorders.116,117 Although the mental health needs of youth in the juvenile justice system have been given much attention recently,10,118,119 there are still few empirical studies of the effectiveness of treatment and outcomes.10 This omission is critical. We need research to guide mental health policy and to understand the complex interplay among the many systems – mental health, child welfare, and justice -- that treat delinquent youth.

Acknowledgments

This work was supported by National Institute of Mental Health 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 National Center on Injury Prevention and Control, Atlanta GA, the Centers for Disease Control and Prevention National Center for HIV, STD and TB Prevention, Atlanta GA, the National Institute on Alcohol Abuse and Alcoholism, Bethesda MD, the National Institutes of Health Office of Research on Women’s Health, Bethesda MD, the Center for Substance Abuse Prevention, Rockville MD, the National institutes of Health Center on Minority Health and Health Disparities, Bethesda MD, 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 IL, the Open Society Institute, New York NY, and the Chicago Community Trust, Chicago IL. We thank all our agencies for their collaborative spirit and steadfast support.

Many more people than the authors contributed to this project. From the National Institute of Mental Health, Ann Hohmann, PhD, and Kimberly Hoagwood, PhD, provided technical assistance and moral support that went beyond the call of duty; Eve Mosicki, ScD, and Heather Ringeisen, PhD, critiqued earlier versions; Grayson Norquist, MD, and Delores Parron, PhD, (now at NIH) provided steadfast support throughout. Celia Fisher, PhD, guided our human subjects’ procedures. We thank all project staff, especially Amy E. Lansing, PhD, for supervising the data collection. We also thank Laura Coats, our expert editor and research assistant, and Kate Elkington for her meticulous library work. We also greatly appreciate the cooperation of everyone working in the Cook County systems, especially David H. Lux, 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.

References

  • 1.Snyder HN. Juvenile Arrests 1999. Washington, DC: Office of Juvenile Justice and Delinquency Prevention; 2000. [Google Scholar]
  • 2.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. [Google Scholar]
  • 3.Snyder HN, Sickmund M. Juvenile Offenders and Victims: 1999 National Report. Washington, DC: Office of Juvenile Justice and Delinquency Prevention; 1999. [Google Scholar]
  • 4.Porter G. Detention in Delinquency Cases, 1988–1997. Washington, DC: Office of Juvenile Justice and Delinquency Prevention; 2000. [Google Scholar]
  • 5.Costello JC, Jameson EJ. Legal and ethical duties of health care professionals to incarcerated children. J Legal Med. 1987;8:191–263. doi: 10.1080/01947648709513498. [DOI] [PubMed] [Google Scholar]
  • 6.Dembo R, Schmeidler J, Pacheco K, Cooper S, Williams LW. The relationships between youth’s identified substance use, mental health or other problems at a juvenile assessment center and their referrals to needed services. J Child Adol Substance Abuse. 1977;6:23–54. [Google Scholar]
  • 7.Timmons-Mitchell J, Brown C, Schulz SC, Webster SE, Underwood LA, Semple WE. Comparing the mental health needs of female and male incarcerated juvenile delinquents. Behav Sci Law. 1997;15:195–202. doi: 10.1002/(sici)1099-0798(199721)15:2<195::aid-bsl269>3.0.co;2-8. [DOI] [PubMed] [Google Scholar]
  • 8.McCord J, Widom CS, Crowell NA, editors. National Research Council and Institute of Medicine. Juvenile Crime, Juvenile Justice. Washington, DC: National Academy Press; 2001. [Google Scholar]
  • 9.General Accounting Office. Mentally Ill Inmates: Better Data Would Help Determine Protection and Advocacy Needs. Washington, DC: Author; 1991. [Google Scholar]
  • 10.Cocozza JJ, Skowyra KR. Youth with mental health disorders: issues and emerging responses. Juve Just. 2000;7:3–13. [Google Scholar]
  • 11.Chiles JA, Miller ML, Cox GB. Depression in an adolescent delinquent population. Arch Gen Psychiatry. 1980;37:1179–1184. doi: 10.1001/archpsyc.1980.01780230097015. [DOI] [PubMed] [Google Scholar]
  • 12.Miller ML, Chiles JA, Barnes VE. Suicide attempters within a delinquent population. J Consult Clin Psychol. 1982;50:491–498. doi: 10.1037//0022-006x.50.4.491. [DOI] [PubMed] [Google Scholar]
  • 13.McManus M, Alessi NE, Grapentine WL, Brickman A. Psychiatric disturbance in serious delinquents. J Amer Acad Child Adol Psychiatry. 1984;23:602–615. doi: 10.1016/s0002-7138(09)60354-x. [DOI] [PubMed] [Google Scholar]
  • 14.McManus M, Brickman A, Alessi NE, Grapentine WL. Borderline personality in serious delinquents. Comp Psychiat. 1984;25:446–454. doi: 10.1016/0010-440x(84)90079-8. [DOI] [PubMed] [Google Scholar]
  • 15.Cocozza JJ, Ingalls RP. Out of Home Care. Albany, NY: NY State Council on Children and Families; 1984. [Google Scholar]
  • 16.Hollander HE, Turner FD. Characteristics of incarcerated delinquents: relationship between development disorders, environmental and family factors, and patterns of offense and recidivism. J Amer Acad Child Adol Psychiatry. 1985;24:221–226. doi: 10.1016/s0002-7138(09)60451-9. [DOI] [PubMed] [Google Scholar]
  • 17.Friedman RM, Kutash K. Mad, Bad, Sad, Can’t Add: Florida Adolescent and Child Treatment Study (FACTS) Tampa: University of South Florida, Florida Mental Health Institute; 1986. [Google Scholar]
  • 18.Lewis DO, Pincus JH, Lovely R, Spitzer E, Moy E. Biopsychosocial characteristics of matched samples of delinquents and nondelinquents. J Amer Acad Child Adol Psychiatry. 1987;26:744–752. doi: 10.1097/00004583-198709000-00022. [DOI] [PubMed] [Google Scholar]
  • 19.Davis DL, Bean GJ, Schumacher JE, Stringer TL. Prevalence of emotional disorders in a juvenile justice institutional population. Am J Forensic Psychol. 1991;9:5–17. [Google Scholar]
  • 20.Eppright TD, Kashani JH, Robison BD, Reid JC. Comorbidity of conduct disorder and personality disorders in an incarcerated juvenile population. Am J Psychiat. 1993;150:1233–1236. doi: 10.1176/ajp.150.8.1233. [DOI] [PubMed] [Google Scholar]
  • 21.Steiner H, Garcia IG, Mathews Z. Posttraumatic stress disorder in incarcerated juvenile delinquents. J Amer Acad Child Adol Psychiatry. 1997;36:357–365. doi: 10.1097/00004583-199703000-00014. [DOI] [PubMed] [Google Scholar]
  • 22.Duclos CW, Beals J, Novins DK, Martin C, Jewett CS, Manson SM. Prevalence of common psychiatric disorders among American Indian adolescent detainees. J Amer Acad Child Adol Psychiatry. 1998;37:866–873. doi: 10.1097/00004583-199808000-00017. [DOI] [PubMed] [Google Scholar]
  • 23.Gray TA, Wish ED. Substance Abuse Need for Treatment Among Arrestees (SANTA) in Maryland: Youth in the Juvenile Justice System. College Park, MD: Center for Substance Abuse Research (CESAR); 1998. [Google Scholar]
  • 24.Cauffman E, Feldman S, Waterman J, Steiner H. Posttraumatic stress disorder among female juvenile offenders. J Amer Acad Child Adol Psychiatry. 1998;37:1209–1216. [PubMed] [Google Scholar]
  • 25.Atkins DL, Pumariega AJ, Rogers K, Montgomery L, Nybro C, Jeffers G, Sease F. Mental health and incarcerated youth. I: prevalence and nature of psychopathology. J Child Fam Studies. 1999;8:193–204. [Google Scholar]
  • 26.Pliszka SR, Sherman JO, Barrow MV, Irick S. Affective disorder in juvenile offenders: a preliminary study. Am J Psychiat. 2000;157:130–132. doi: 10.1176/ajp.157.1.130. [DOI] [PubMed] [Google Scholar]
  • 27.Aarons GA, Brown SA, Hough RL, Garland AF, Wood PA. Prevalence of adolescent substance use disorders across five sectors of care. J Amer Acad Child Adol Psychiatry. 2001;40:419–426. doi: 10.1097/00004583-200104000-00010. [DOI] [PubMed] [Google Scholar]
  • 28.Garland AF, Hough RL, McCabe KM, Yeh M, Wood PA, Aarons GA. Prevalence of psychiatric disorders in youth across five sectors of care. J Amer Acad Child Adol Psychiatry. 2001;40:409–418. doi: 10.1097/00004583-200104000-00009. [DOI] [PubMed] [Google Scholar]
  • 29.Whitaker A, Johnson J, Shaffer D, Rapoport JL, Kalikow K, Walsh BT, Davies M, Braiman S, Dolinsky A. Uncommon troubles in young people: prevalence estimates of selected psychiatric disorders in a nonreferred adolescent population. Arch Gen Psychiatry. 1990;47:487–496. doi: 10.1001/archpsyc.1990.01810170087013. [DOI] [PubMed] [Google Scholar]
  • 30.Christie KA, Burke JD, Regier DA, Rae DS, Boyd JH, Locke BZ. Epidemiologic evidence for early onset of mental disorders and higher risk of drug abuse in young adults. Am J Psychiat. 1988;145:971–975. doi: 10.1176/ajp.145.8.971. [DOI] [PubMed] [Google Scholar]
  • 31.Cohen J. Statistical Power Analysis for the Behavioral Sciences. 2. Hillsdale, NJ: Lawrence Earlbaum Associates; 1988. [Google Scholar]
  • 32.Shaffer D, Fisher P, Dulcan M, Davies M, Piacentini J, Schwab-Stone ME, Lahey BB, Bourdon K, Jensen PS, Bird HR, Canino G, Regier DA. The NIMH Diagnostic Interview Schedule for Children Version 2.3 (DISC-2.3): description, acceptability, prevalence rates, and performance in the MECA Study. J Amer Acad Child Adol Psychiatry. 1996;35:865–877. doi: 10.1097/00004583-199607000-00012. [DOI] [PubMed] [Google Scholar]
  • 33.John Howard Association. Characteristics of juvenile court admissions to secure detention in 1992. 1993 Unpublished data. [Google Scholar]
  • 34.Pastore AL, Maguire K. Sourcebook of Criminal Justice Statistics - 1999. Washington, DC: US Department of Justice; 2000. [Google Scholar]
  • 35.US Bureau of the Census. The Hispanic Population. Washington, DC: US Department of Commerce; 2001. [Google Scholar]
  • 36.US Bureau of the Census. Population by Race and Hispanic or Latino Origin for the United States:1990 and 2000. Table 1. Washington, DC: US Department of Commerce; 2001. [Google Scholar]
  • 37.Grisso T, Tomkins A, Casey P. Psychosocial concepts in juvenile law. Law Human Behav. 1988;12:403–437. [Google Scholar]
  • 38.Illinois Criminal Justice Information Authority. Trends and Issues 1997. Chicago: Illinois Criminal Justice Information Authority; 1997. [Google Scholar]
  • 39.Federal Policy for the Protection of Human Subjects: Notices and Rules. Part 2. Federal Register. 1991 June 18;56(117):28002–32. 56 FR 28002. [PubMed] [Google Scholar]
  • 40.Shaffer D. Use of passive consent in child/adolescent mental health research --effect of letter from Dr. Charles R. McCarthy, Director of the Office for Protection from Research Risks, NIH. Res Notes Child Adol Psychiat. 1992 Summer;:10. [Google Scholar]
  • 41.Fisher CB. Integrating science and ethics in research with high-risk children and youth. Soc Res Child Develop. 1993;7:1–27. [PubMed] [Google Scholar]
  • 42.Nolan K. Ethical issues: assent, consent, and behavioral research with adolescents. Res Notes Child Psychiat. 1992 Summer;:7–10. [Google Scholar]
  • 43.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. Culture Med Psychiatry. 1993;17:329–344. doi: 10.1007/BF01380008. [DOI] [PubMed] [Google Scholar]
  • 44.Fisher PW, Shaffer D, Piacentini JC, Lapkin J, Kafantaris V, Leonard H, Herzog DB. Sensitivity of the Diagnostic Interview Schedule for Children, 2nd Edition (DISC-2.1) for specific diagnoses of children and adolescents. J Amer Acad Child Adol Psychiatry. 1993;32:666–673. doi: 10.1097/00004583-199305000-00026. [DOI] [PubMed] [Google Scholar]
  • 45.Piacentini J, Shaffer D, Fisher P, Schwab-Stone ME, Davies M, Gioia P. The Diagnostic Interview Schedule for Children – Revised Version (DISC-R): III. Concurrent criterion validity. J Amer Acad Child Adol Psychiatry. 1993;32:658–665. doi: 10.1097/00004583-199305000-00025. [DOI] [PubMed] [Google Scholar]
  • 46.Schwab-Stone M, Fisher P, Piacentini J, Shaffer D, Davies M, Briggs M. The Diagnostic Interview Schedule for Children – Revised version (DISC-R): II. Test-retest reliability. J Amer Acad Child Adol Psychiatry. 1993;32:651–657. doi: 10.1097/00004583-199305000-00024. [DOI] [PubMed] [Google Scholar]
  • 47.Shaffer D, Schwab-Stone ME, Fisher P, Cohen P, Piacentini J, Davies M, Conners CK, Regier D. The Diagnostic Interview Schedule for Children – Revised version (DISC-R): I. Preparation, field testing, interrater reliability, and acceptability. J Amer Acad Child Adol Psychiatry. 1993;32:643–650. doi: 10.1097/00004583-199305000-00023. [DOI] [PubMed] [Google Scholar]
  • 48.Schwab-Stone ME, Shaffer D, Dulcan M, Jensen PS, Fisher P, Bird HR, Goodman SH, Lahey BB, Lichtman JH, Canino G, Rubio-Stipec M, Rae DS. Criterion validity of the NIMH Diagnostic Interview Schedule for Children Version 2.3 (DISC-2.3) J Amer Acad Child Adol Psychiatry. 1996;35:878–888. doi: 10.1097/00004583-199607000-00013. [DOI] [PubMed] [Google Scholar]
  • 49.Thompson LL, Riggs PD, Mikulich SK, Crowley TJ. Contribution of ADHD symptoms to substance problems and delinquency in conduct-disordered adolescents. J Abnor Child Psychol. 1996;24:325–347. doi: 10.1007/BF01441634. [DOI] [PubMed] [Google Scholar]
  • 50.Bird HR, Davies M, Fisher P, Narrow WE, Jensen PS, Hoven C, Cohen P, Dulcan MK. How specific is specific impairment? J Amer Acad Child Adol Psychiatry. 2000;39:1182–1189. doi: 10.1097/00004583-200009000-00019. [DOI] [PubMed] [Google Scholar]
  • 51.Roberts RE, Attkisson C, Rosenblatt A. Prevalence of psychopathology among children and adolescents. Am J Psychiat. 1998;155:715–725. doi: 10.1176/ajp.155.6.715. [DOI] [PubMed] [Google Scholar]
  • 52.Costello EJ, Angold A, Burns BJ, Erkanli A, Stangle DK, Tweed DL. The Great Smoky Mountains Study of Youth: functional impairment and serious emotional disturbance. Arch Gen Psychiatry. 1996;53:1137–1143. doi: 10.1001/archpsyc.1996.01830120077013. [DOI] [PubMed] [Google Scholar]
  • 53.Bird HR, Canino G, Rubio-Stipec M, Ribera J. Further measures of the psychometric properties of the Children’s Global Assessment Scale. Arch Gen Psychiatry. 1987;44:821–824. doi: 10.1001/archpsyc.1987.01800210069011. [DOI] [PubMed] [Google Scholar]
  • 54.Shaffer D, Gould MS, Brasic J, Ambrosini P, Fisher P, Bird HR, Aluwahlia S. A Children’s Global Assessment Scale (CGAS) Arch Gen Psychiatry. 1983;40:1228–1231. doi: 10.1001/archpsyc.1983.01790100074010. [DOI] [PubMed] [Google Scholar]
  • 55.Cochran WG. Sampling Techniques. New York: John Wiley & Sons; 1997. [Google Scholar]
  • 56.Levy PS, Lemeshow S. Sampling of Populations: Methods and Applications. New York: John Wiley & Sons; 1999. [Google Scholar]
  • 57.Costello EJ, Angold A, Burns BJ, Stangle DK, Tweed DL, Erkanli A, Worthman CM. 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. doi: 10.1001/archpsyc.1996.01830120067012. [DOI] [PubMed] [Google Scholar]
  • 58.Simonoff E, Pickles A, Meyer JM, Silberg JL, Maes HH, Loeber R, Rutter M, Hewitt JK, Eaves LJ. The Virginia Twin Study of Adolescent Behavioral Development: influences of age, sex, and impairment on rates of disorder. Arch Gen Psychiatry. 1997;54:801–808. doi: 10.1001/archpsyc.1997.01830210039004. [DOI] [PubMed] [Google Scholar]
  • 59.Turner RJ, Gil AG. Psychiatric and substance use disorders in South Florida: racial/ethnic and gender contrasts in a young adult cohort. Arch Gen Psychiatry. 2002;59:43–50. doi: 10.1001/archpsyc.59.1.43. [DOI] [PubMed] [Google Scholar]
  • 60.Kessler RC, Walters EE. Epidemiology of DSM-III-R major depression and minor depression among adolescents and young adults in the National Comorbidity Survey. Depression and Anxiety. 1998;7:3–14. doi: 10.1002/(sici)1520-6394(1998)7:1<3::aid-da2>3.0.co;2-f. [DOI] [PubMed] [Google Scholar]
  • 61.McGee R, Feehan M, Williams S, Anderson J. DSM-III disorders from age 11 to age 15 years. J Amer Acad Child Adol Psychiatry. 1992;31:50–59. doi: 10.1097/00004583-199201000-00009. [DOI] [PubMed] [Google Scholar]
  • 62.Garrison CZ, Waller JL, Cuffe SP, McKeown RE, Addy CL, Jackson KL. Incidence of major depressive disorder and dysthymia in young adolescents. J Amer Acad Child Adol Psychiatry. 1997;36:458–465. doi: 10.1097/00004583-199704000-00007. [DOI] [PubMed] [Google Scholar]
  • 63.Feitel B, Margetson N, Chamas J, Lipman C. Psychosocial background and behavioral and emotional disorders of homeless and runaway youth. Hosp Comm Psychiatry. 1992;43:155–159. doi: 10.1176/ps.43.2.155. [DOI] [PubMed] [Google Scholar]
  • 64.Famularo R, Kinscherff R, Fenton T. Psychiatric diagnoses of maltreated children: preliminary findings. J Amer Acad Child Adol Psychiatry. 1992;31:863–867. doi: 10.1097/00004583-199209000-00013. [DOI] [PubMed] [Google Scholar]
  • 65.Lewis DO, Yeager CA, Cobham-Portorreal CS, Klein N, Showalter C, Anthony A. A follow-up of female delinquents: maternal contributions to the perpetuation of deviance. J Amer Acad Child Adol Psychiatry. 1991;30:197–201. doi: 10.1097/00004583-199103000-00006. [DOI] [PubMed] [Google Scholar]
  • 66.Teplin LA, Abram KM, McClelland GM. Prevalence of psychiatric disorders among incarcerated women: I. pretrial jail detainees. Arch Gen Psychiatry. 1996;53:505–512. doi: 10.1001/archpsyc.1996.01830060047007. [DOI] [PubMed] [Google Scholar]
  • 67.Cohen P, Cohen J, Brook J. An epidemiological study of disorders in late childhood and adolescence -- II. persistence of disorders. J Child Psychol Psychiat. 1993;34:869–877. doi: 10.1111/j.1469-7610.1993.tb01095.x. [DOI] [PubMed] [Google Scholar]
  • 68.Kandel DB, Johnson JG, Bird HR, Canino G, Goodman SH, Lahey BB, Regier DA, Schwab-Stone M. Psychiatric disorders associated with substance use among children and adolescents: findings from the Methods for the Epidemiology of Child and Adolescent Mental Disorders (MECA) Study. J Abnor Child Psychol. 1997;25:121–132. doi: 10.1023/a:1025779412167. [DOI] [PubMed] [Google Scholar]
  • 69.Newman DL, Moffitt TE, Caspi A, Magdol L, Silva PA. Psychiatric disorder in a birth cohort of young adults: prevalence, comorbidity, clinical significance, and new case incidence from ages 11 to 21. J Consult Clin Psychol. 1996;64:552–562. [PubMed] [Google Scholar]
  • 70.Angold A, Costello EJ. Depressive comorbidity in children and adolescents: empirical, theoretical, and methodological issues. Am J Psychiat. 1993;150:1779–1791. doi: 10.1176/ajp.150.12.1779. [DOI] [PubMed] [Google Scholar]
  • 71.Bukstein OG, Brent DA, Kaminer Y. Comorbidity of substance abuse and other psychiatric disorders in adolescents. Am J Psychiat. 1989;146:1131–1141. doi: 10.1176/ajp.146.9.1131. [DOI] [PubMed] [Google Scholar]
  • 72.Abram KM, Teplin LA. Co-occurring disorders among mentally ill jail detainees: implications for public policy. Am Psychol. 1991;46:1036–1045. doi: 10.1037//0003-066x.46.10.1036. [DOI] [PubMed] [Google Scholar]
  • 73.Hesselbrock MN, Meyer RE, Keener JJ. Psychopathology in hospitalized alcoholics. Arch Gen Psychiatry. 1985;42:1050–1055. doi: 10.1001/archpsyc.1985.01790340028004. [DOI] [PubMed] [Google Scholar]
  • 74.Caton CLM, Gralnick A, Bender S, Simon R. Young chronic patients and substance abuse. Hosp Comm Psychiatry. 1989;40:1047–1040. doi: 10.1176/ps.40.10.1037. [DOI] [PubMed] [Google Scholar]
  • 75.Breakey WR, Fischer PJ, Kramer M, Nestadt G, Romanoski AJ, Ross A, Royal RM, Stine OC. Health and mental health problems of homeless men and women. JAMA. 1989;262:1352–1357. [PubMed] [Google Scholar]
  • 76.Poe-Yamagata E, Butts JA. Female Offenders in the Juvenile Justice System. Washington, DC: Office of Juvenile Justice and Delinquency Prevention; 1996. [Google Scholar]
  • 77.Zoccolillo M. Co-occurrence of conduct disorder and its adult outcomes with depressive and anxiety disorders: a review. J Amer Acad Child Adol Psychiatry. 1992;31:547–556. doi: 10.1097/00004583-199205000-00024. [DOI] [PubMed] [Google Scholar]
  • 78.Loeber R, Stouthamer-Loeber M. Development of juvenile aggression and violence. Am Psychol. 1998;53:242–259. doi: 10.1037//0003-066x.53.2.242. [DOI] [PubMed] [Google Scholar]
  • 79.Gender-Specific Programming for Girls Advisory Committee. Guiding Principles for Promising Female Programming. Washington, DC: Office of Juvenile Justice and Delinquency Prevention; 1998. Available at www.ojjdp.ncjrs.org/pubs/principles/contents.html. [Google Scholar]
  • 80.Werner EE. High-risk children in young adulthood: a longitudinal study from birth to 32 years. Am J Orthopsychiat. 1989;59:72–81. [PubMed] [Google Scholar]
  • 81.National Research Council. Losing Generations: Adolescents in High-Risk Settings. Washington, DC: National Academy Press; 1993. [Google Scholar]
  • 82.Lewis DO, Yeager CA, Lovely R, Stein A, Cobham-Portorreal CS. A clinical follow-up of delinquent males: ignored vulnerabilities, unmet needs, and the perpetuation of violence. J Amer Acad Child Adol Psychiatry. 1994;33:518–528. doi: 10.1097/00004583-199405000-00010. [DOI] [PubMed] [Google Scholar]
  • 83.Leventhal T, Brooks-Gunn J. The neighborhoods they live in: the effects of neighborhood residence on child and adolescent outcomes. Psychol Bull. 2000;126:309–337. doi: 10.1037/0033-2909.126.2.309. [DOI] [PubMed] [Google Scholar]
  • 84.Buckner JC, Bassuk EL. Mental disorders and service utilization among youths from homeless and low-income housed families. J Amer Acad Child Adol Psychiatry. 1997;36:890–900. doi: 10.1097/00004583-199707000-00010. [DOI] [PubMed] [Google Scholar]
  • 85.Dembo R, Williams L, Schmeidler J. Gender differences in mental health service needs among youths entering a juvenile detention center. Journal of Prison & Jail Health. 1993;12:73–101. [Google Scholar]
  • 86.Cocozza JJ. Responding to the Mental Health Needs of Youth in the Juvenile Justice System. Seattle, WA: National Coalition for the Mentally Ill in the Criminal Justice System; 1992. [Google Scholar]
  • 87.Lattimore PK, Linster RL, MacDonald JM. Risk of death among serious young offenders. J Res Crime Delinq. 1997;34:187–209. [Google Scholar]
  • 88.Loeber R, DeLamatre M, Tita G, Cohen J, Stouthamer-Loeber M, Farrington DP. Gun injury and mortality: the delinquent backgrounds of juvenile victims. Violence and Victims. 1999;14:339–352. [PubMed] [Google Scholar]
  • 89.National Alliance for the Mentally Ill. Families on the Brink: The Impact of Ignoring Children with Serious Mental Illness: Results of a National Survey of Parents and Other Caregivers. Arlington, VA: National Alliance for the Mentally Ill; 1999. [Google Scholar]
  • 90.Knitzer J. Children’s mental health: changing paradigms and policies. In: Zigler EF, Kagan SL, Hall NW, editors. Children, Families, and Government: Preparing for the Twenty-first Century. New York: Cambridge University Press; 1996. pp. 207–232. [Google Scholar]
  • 91.Srebnik D, Cauce AM, Baydar N. Help-seeking pathways for children and adolescents. J Emot Behav Dis. 1996;4:210–220. [Google Scholar]
  • 92.Redding RE. Juvenile offenders in criminal court and adult prison: legal, psychological, and behavioral outcomes. Juve Fam Court J. 1999 Winter;:1–20. [Google Scholar]
  • 93.US Department of Health and Human Services. Mental Health: A Report of the Surgeon General. Rockville, MD: USDHHS; 1999. [Google Scholar]
  • 94.Grisso T. What we know about youths’ capacities as trial defendants. In: Grisso T, Schwartz RG, editors. Youth on Trial. Chicago: University of Chicago Press; 2000. [Google Scholar]
  • 95.Bishop DM. Juvenile offenders in the adult criminal justice system. Crime and Justice. 2000;27:81–167. [Google Scholar]
  • 96.Mears DP. Getting tough with juvenile offenders: explaining support for sanctioning youths as adults. Crim Just Behav. 2001;28:206–226. [Google Scholar]
  • 97.Hamparian DM, Estep LK, Muntean SM, Priestino RR, Swisher RG, Wallace PL, White TL. Major Issues in Juvenile Justice Information and Training. Washington, DC: US Department of Justice, 0JJDP; 1982. [Google Scholar]
  • 98.Heymann SJ, Earle A. The impact of Welfare Reform on parents’ ability to care for their children’s health. Am J Pubic Health. 1999;89:502–505. doi: 10.2105/ajph.89.4.502. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 99.Center for Mental Health Services. Mental Health and Substance Abuse Services Under the State Children’s Health Insurance Program. Rockville, MD: USDHHS, SAMHSA; 2000. [Google Scholar]
  • 100.Burns BJ, Costello EJ, Erkanli A, Tweed DL, Farmer EMZ, Angold A. Insurance coverage and mental health service use by adolescents with serious emotional disturbance. J Child Fam Studies. 1997;6:89–111. [Google Scholar]
  • 101.Children’s Defense Fund. Families Struggling to Make it in the Workforce: A Post Welfare Report. Washington, DC: Children’s Defense Fund; 2000. Available at www.childrensdefense.org. [Google Scholar]
  • 102.Sherman A, Amey C, Duffield B, Ebb N, Weinstein D. Welfare to What: Early Findings on Family Hardship and Well-Being. Washington, DC: Children’s Defense Fund and National Coalition for the Homeless; 1998. Available at www.childrensdefense.org. [Google Scholar]
  • 103.General Accounting Office. Medicaid and SCHIP: Comparisons of Outreach, Enrollment Practices, and Benefits. Washington, DC: GAO; 2000. [Google Scholar]
  • 104.Zuckerman DM. The evolution of welfare reform: policy changes and current knowledge. J Soc Issues. 2000;56:811–820. [Google Scholar]
  • 105.Porter K, Primus W. Recent Changes in the Impact of the Safety Net on Child Poverty. Washington, DC: Center on Budget and Policy Priorities; 1999. Available at www.cbpp.org. [Google Scholar]
  • 106.Knitzer J, Yoshikawa H, Cauthen NK, Aber JL. Welfare reform, family support, and child development: perspectives from policy analysis and developmental psychopathology. Develop Psychopathol. 2000;12:619–632. doi: 10.1017/s0954579400004041. [DOI] [PubMed] [Google Scholar]
  • 107.Iglehart JK. Managed care and mental health. New Eng J Med. 1996;334:131–135. doi: 10.1056/NEJM199601113340221. [DOI] [PubMed] [Google Scholar]
  • 108.Frank RG. The creation of Medicare and Medicaid: the emergence of insurance and markets for mental health services. Psychiat Serv. 2000;51:465–468. doi: 10.1176/appi.ps.51.4.465. [DOI] [PubMed] [Google Scholar]
  • 109.Shirk S, Talmi A, Olds D. A developmental psychopathology perspective on child and adolescent treatment policy. Develop Psychopathol. 2000;12:835–855. doi: 10.1017/s0954579400004144. [DOI] [PubMed] [Google Scholar]
  • 110.Mechanic D. Topics for our times: managed care and public health opportunities. Am J Public Health. 1998;88:874–875. doi: 10.2105/ajph.88.6.874. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 111.Kelleher KJ, McInerny TK, Gardner WP, Childs GE, Wasserman RC. Increasing identification of psychosocial problems: 1979–1996. Pediatrics. 2000;105:1313–1321. doi: 10.1542/peds.105.6.1313. [DOI] [PubMed] [Google Scholar]
  • 112.Burns BJ. Mental health service use by adolescents in the 1970s and 1980s. J Amer Acad Child Adol Psychiatry. 1991;30:144–150. doi: 10.1097/00004583-199101000-00022. [DOI] [PubMed] [Google Scholar]
  • 113.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: USDHHS; 2000. [PubMed] [Google Scholar]
  • 114.Thomas CR, Holzer CE. National distribution of child and adolescent psychiatrists. J Amer Acad Child Adol Psychiatry. 1999;38:9–16. doi: 10.1097/00004583-199901000-00013. [DOI] [PubMed] [Google Scholar]
  • 115.Coalition for Juvenile Justice. Handle with Care: Serving the Mental Health Needs of Young Offenders. Washington, DC: Author; 2000. [Google Scholar]
  • 116.Redding RE. Barriers to meeting the mental health needs of juvenile offenders. Developments in Mental Health Law. 1999;19:1–23. [Google Scholar]
  • 117.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. [Google Scholar]
  • 118.Grisso T. Juvenile offenders and mental illness. Psychiatry Psychol Law. 1999;6:143–151. [Google Scholar]
  • 119.Ulzen TPM, Hamilton H. The nature and characteristics of psychiatric comorbidity in incarcerated adolescents. Canad J Psychiatry. 1998;43:57–63. doi: 10.1177/070674379804300106. [DOI] [PubMed] [Google Scholar]

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