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E Jane Costello

Publications and source records attributed to E Jane Costello.

At least 19 recordsLinked to original sources

Service costs of caring for adolescents with mental illness in a rural community, 1993-2000.

OBJECTIVE: Costs of treating child psychiatric disorders fall on educational, primary care, juvenile justice, and social service agencies as well as on psychiatric services. The authors estimated multiagency mental health costs by integrating service unit costs with utilization rates in an 11-county area. Using psychiatric diagnoses made independently of service use records, the authors calculated costs across agencies as well as the extent of unmet need for psychiatric care. METHOD: Annual parent and child reports were used to measure mental health care needs and units of service across 21 types of settings for the population-based Great Smoky Mountain Study sample of 1,420 adolescents from ages 13 to 16. Unit costs for services were generated from information from service providers and records. The authors calculated costs overall, costs by type of service, and costs by diagnosis. RESULTS: Average annual costs per adolescent treated were $3,146. Juvenile justice and inpatient/residential facilities accounted for well over half of the total costs. Costs for youths with two or more diagnoses were twice as much as costs of those with a single disorder. Among adolescents with service needs, 66.9% received no services. Public health insurance was associated with higher rates of specialty mental health care than either private insurance or no insurance. CONCLUSIONS: Annual costs across all services were three to four times greater than recent health insurance estimates alone. Many costs for adolescents with mental health problems were borne by agencies not designed primarily to provide psychiatric or psychological services. Only one in three adolescents needing psychiatric care received any mental health services.

Adolescent↗

Bayesian semi-parametric ROC analysis.

This paper describes a semi-parametric Bayesian approach for estimating receiver operating characteristic (ROC) curves based on mixtures of Dirichlet process priors (MDP). We address difficulties in modelling the underlying distribution of screening scores due to non-normality that may lead to incorrect choices of diagnostic cut-offs and unreliable estimates of prevalence of the disease. MDP is a robust tool for modelling non-standard diagnostic distributions associated with imperfect classification of an underlying diseased population, for example, when a diagnostic test is not a gold standard. For posterior computations, we propose an efficient Gibbs sampling framework based on a finite-dimensional approximation to MDP. We show, using both simulated and real data sets, that MDP modelling for ROC curve estimation closely parallels the frequentist kernel density estimation (KDE) approach.

Adolescent↗

Prevalence, clinical correlates, and longitudinal course of severe mood dysregulation in children.

BACKGROUND: Controversy concerning the diagnosis of pediatric bipolar disorder (BD) has focused attention on children with chronic irritability and hyperarousal. This syndrome has been called the "broad BD phenotype" or severe mood dysregulation (SMD). This study examines prevalence, concurrent Axis I diagnoses, and longitudinal outcome of SMD in an epidemiologic sample. METHODS: Data were drawn from the Great Smoky Mountains Study, a longitudinal epidemiological study. Items from the Child and Adolescent Psychiatric Assessment were used to generate SMD criteria. RESULTS: Among 1420 children, the lifetime prevalence of SMD in children ages 9-19 was 3.3%. Most (67.7%) SMD youth had an Axis I diagnosis, most commonly attention-deficit/hyperactivity disorder (26.9%), conduct disorder (25.9%), and/or oppositional defiant disorder (24.5%). In young adulthood (mean age 18.3 +/- 2.1 years), youth who met criteria for SMD in the first wave (mean age 10.6 +/- 1.4 years) were significantly more likely to be diagnosed with a depressive disorder (odds ratio 7.2, confidence interval 1.3-38.8, p = .02) than youth who never met criteria for SMD. CONCLUSIONS: Severe mood dysregulation is relatively common in childhood and predicts risk for early adulthood depressive disorders. Research should continue to explore the course of illness in children with SMD.

Adolescent↗

Proximal psychiatric risk factors for suicidality in youth: the Great Smoky Mountains Study.

CONTEXT: Psychiatric disorder is a major risk factor for suicidality but has poor positive predictive value. OBJECTIVES: To characterize proximal risks for suicidality associated with anxiety, depressive, disruptive behavior, and substance use disorders, and to test whether there are critical combinations of disorders that discriminate at-risk youth independent of severity of psychopathology. DESIGN: The Great Smoky Mountains Study, a representative sample of children and adolescents aged 9 to 16 years from the southeastern United States. Subjects and their parents were interviewed on multiple occasions from 1993 to 2000 about the subjects' recent psychiatric and suicidal history. SETTING: An epidemiological sample of youth. PARTICIPANTS: The sample included 1420 individual subjects with 6676 records across 8 waves of data collection. MAIN OUTCOME MEASURES: Wanting to die, suicidal ideation, suicide plans, or suicide attempt during the past 3 months. RESULTS: Eleven broad psychiatric profiles discriminated suicidal youth. Risk was greatest in association with current depression plus anxiety (specifically GAD [generalized anxiety disorder]) (odds ratio, 468.53) or depression plus a disruptive disorder (primarily ODD [oppositional-defiant disorder]) (odds ratio, 222.94). Unless comorbid, anxiety and substance use disorders were not proximally associated with suicidality. The severity of symptom-related impairment and, in some cases, total symptom load explained risk associated with all psychiatric profiles except depression plus anxiety, specifically GAD (adjusted odds ratio, 50.16). Severity of impairment and poverty defined by federal guidelines for families were both independent risk factors, irrespective of psychiatric profile. Suicidal youth without diagnosable disorders had subthreshold (mostly disruptive) disorders, disabling relationship difficulties, or psychiatric symptoms without associated impairment. CONCLUSIONS: Severity of symptom-related impairment and total symptom load explained most of the risk for suicidality associated with current psychiatric disorders. Only depression plus GAD discriminated at-risk youth independent of severity of psychopathology.

Adolescent↗

Puberty and depression.

Unipolar depression only becomes more common in girls than boys after the age of 13, as a result of an increased incidence of depressive episodes in girls at that time. This article reviews evidence that links multiple dimensions of maturation in the hypothalamo-pituitary-gonadal axis with this phenomenon. Effects of developmental status and timing have been implicated, but few studies have deployed either the measurement strategies or the statistical power needed to provide a satisfactory answer to the question regarding which components of puberty are most responsible.

Adolescent↗

10-year research update review: the epidemiology of child and adolescent psychiatric disorders: II. Developmental epidemiology.

OBJECTIVE: To describe the growth of developmental epidemiology in the past decade and to illustrate it with examples of recent studies. METHOD: A review of publications on developmental epidemiology in the past 10 years and a discussion of some key examples. RESULTS: The authors describe how the interaction between developmental psychopathology and psychiatric epidemiology has produced developmental epidemiology, the study of patterns of distribution of psychiatric disorders in time as well as in space. They give two examples of the kinds of questions that developmental epidemiology can help to answer: (1) Is the prevalence of autism increasing? Does the use of vaccines explain the increase? (2) Is there an epidemic of child and adolescent depression? Finally, they describe two areas of science that are beginning to inform developmental epidemiology: molecular genetics and the use of biological measures of stress. CONCLUSIONS: While child and adolescent psychiatric epidemiology continues, as described in the first of these reviews, to address questions of prevalence and burden, it has also expanded into new areas of research in the past decade. In the next decade, longitudinal epidemiological data sets with their rich descriptive data on psychopathology and environmental risk over time and the potential to add biological measures will provide valuable resources for research into gene-environment correlations and interactions.

Adolescent↗

Is there an epidemic of child or adolescent depression?

BACKGROUND: Both the professional and the general media have recently published concerns about an 'epidemic' of child and adolescent depression. Reasons for this concern include (1) increases in antidepressant prescriptions, (2) retrospective recall by successive birth cohorts of adults, (3) rising adolescent suicide rates until 1990, and (4) evidence of an increase in emotional problems across three cohorts of British adolescents. METHODS: Epidemiologic studies of children born between 1965 and 1996 were reviewed and a meta-analysis conducted of all studies that used structured diagnostic interviews to make formal diagnoses of depression on representative population samples of participants up to age 18. The effect of year of birth on prevalence was estimated, controlling for age, sex, sample size, taxonomy (e.g., DSM vs. ICD), measurement instrument, and time-frame of the interview (current, 3 months, 6 months, 12 months). RESULTS: Twenty-six studies were identified, generating close to 60,000 observations on children born between 1965 and 1996 who had received at least one structured psychiatric interview capable of making a formal diagnosis of depression. Rates of depression showed no effect of year of birth. There was little effect of taxonomy, measurement instrument, or time-frame of interview. The overall prevalence estimates were: under 13, 2.8% (standard error (SE) .5%); 13-18 5.6% (SE .3%); 13-18 girls: 5.9% (SE .3%); 13-18 boys: 4.6% (SE .3%). CONCLUSIONS: When concurrent assessment rather than retrospective recall is used, there is no evidence for an increased prevalence of child or adolescent depression over the past 30 years. Public perception of an 'epidemic' may arise from heightened awareness of a disorder that was long under-diagnosed by clinicians.

Adolescent↗

The developmental epidemiology of anxiety disorders: phenomenology, prevalence, and comorbidity.

This article argues that the quality of diagnostic tools used to measure anxiety disorders in children and adolescents has improved enormously in the past few years. As a result, prevalence estimates are less erratic, understanding of comorbidity is increasing, and the role of impairment as a criterion for "caseness" is considered more carefully. Several of the instruments developed for epidemiologic research are now being used in clinical settings. Further integration of laboratory methods and clinical and epidemiologic ideas will benefit children with anxiety disorders and their families.

Adolescent↗

10-year research update review: the epidemiology of child and adolescent psychiatric disorders: I. Methods and public health burden.

OBJECTIVE: To review recent progress in child and adolescent psychiatric epidemiology in the area of prevalence and burden. METHOD: The literature published in the past decade was reviewed under two headings: methods and findings. RESULTS: Methods for assessing the prevalence and community burden of child and adolescent psychiatric disorders have improved dramatically in the past decade. There are now available a broad range of interviews that generate DSM and ICD diagnoses with good reliability and validity. Clinicians and researchers can choose among interview styles (respondent based, interviewer based, best estimate) and methods of data collection (paper and pencil, computer assisted, interviewer or self-completion) that best meet their needs. Work is also in progress to develop brief screens to identify children in need of more detailed assessment, for use by teachers, pediatricians, and other professionals. The median prevalence estimate of functionally impairing child and adolescent psychiatric disorders is 12%, although the range of estimates is wide. Disorders that often appear first in childhood or adolescence are among those ranked highest in the World Health Organization's estimates of the global burden of disease. CONCLUSIONS: There is mounting evidence that many, if not most, lifetime psychiatric disorders will first appear in childhood or adolescence. Methods are now available to monitor youths and to make early intervention feasible.

Adolescent↗

Defining oppositional defiant disorder.

BACKGROUND: ICD-10 and DSM-IV include similar criterial symptom lists for conduct disorder (CD) and oppositional defiant disorder (ODD), but while DSM-IV treats each list separately, ICD-10 considers them jointly. One consequence is that ICD-10 identifies a group of children with ODD subtype who do not receive a diagnosis under DSM-IV. METHODS: We examined the characteristics of this group of children using the Great Smoky Mountains Study of children in the community aged 9-16. This study provided child and parent reports of symptoms and psychosocial impairment assessed with standardised diagnostic interviews. RESULTS: Children who received an ICD-10 diagnosis but not a DSM-IV diagnosis showed broadly similar levels of psychiatric comorbidity, delinquent activity and psychosocial impairment to those who met DSM-IV criteria in both cross-sectional and longitudinal analyses. CONCLUSIONS: These results indicate that DSM-IV excludes from diagnosis children who receive an ICD-10 diagnosis of CD (ODD sub-type), and who are substantially disturbed. Methods of redressing this situation are considered.

Adolescent↗

Effects of age at first substance use and psychiatric comorbidity on the development of substance use disorders.

In this paper, we examine the effects of age at first substance use, and history of psychiatric disorders, on the development of substance use disorder (SUD) by age 16. We use a prospective, longitudinal design to disaggregate the effects of age at first use and time since first use on the development of adolescent SUD. Second, we test the hypothesis that adolescent SUD is an unlikely progression from early substance use unless children also show other early conduct problems. A population sample of 1,420 children from the Great Smoky Mountains Study (GSMS) was assessed annually between ages 9 and 16. Logistic regression models were applied within the hierarchical Bayesian framework, where the covariate effects were described by time-varying parameters having a first-order auto-regressive prior distribution. Posterior analyses based on a Gibbs sampling approach revealed that, controlling for years of exposure, the risk of transition to SUD increased with age at onset for onsets before age 13, but began to fall for onset at 14. Among users, use alone, without early conduct problems, led to a 11% prevalence of SUD by age 16. Past conduct disorder (CD) had a strong additive effect at ages 13-15, but at age 16, when substance use and abuse became more normative, the excess risk from prior CD decreased. Boys, but not girls, with a history of depression were at increased risk of SUD. Anxiety increased the risk of SUD in girls at age 16, but not before that. Results only partially support the study hypothesis; early use was a major predictor of adolescent SUD even in the absence of CD.

Adolescent↗

Testosterone, antisocial behavior, and social dominance in boys: pubertal development and biosocial interaction.

BACKGROUND: Studies linking testosterone and antisocial behavior in humans have produced mixed results. Adolescence offers a promising period to study this relationship; circulating testosterone increases dramatically in boys during puberty, and antisocial behavior increases during the same period. METHODS: Our analyses were based on boys aged 9-15 years who were interviewed during the first three waves of the Great Smoky Mountains Study. Measures included interview assessment of DSM-IV conduct disorder (CD) symptoms and diagnosis, blood spot measurement of testosterone, Tanner staging of pubertal development, and assessment of leadership behaviors and peer deviance. RESULTS: The adolescent rise in CD was primarily attributable to an increase in nonphysically aggressive behaviors. Increasing levels of circulating testosterone and association with deviant peers contributed to these age trends. There was no evidence that physical aggression was related to high testosterone. Evidence of biosocial interactions was identified; testosterone was related to nonaggressive CD symptoms in boys with deviant peers and to leadership in boys with nondeviant peers. CONCLUSIONS: The results are consistent with the hypothesis that testosterone relates to social dominance, with the assumption that behaviors associated with dominance differ according to social context.

Adolescent↗

Genetic and environmental influences on the relative timing of pubertal change.

A multicategory item-response theory model was developed to characterize developmental changes in three items relating to the assessment of puberty in adolescent twin girls and boys. The model allowed for the fixed effects of age on probability of endorsing the responses and for the random effects of individual differences on the timing of pubertal changes relative to chronological age. In girls, the model was applied three-wave data on twin pairs (N = 414 female monozygotic [MZ] and 197 female dizygotic [DZ] pairs) and female twins from boy-girl pairs (N = 300 twins) from the Virginia Twin Study of Adolescent Behavioral Development. In boys, the data comprised 318 MZ and 185 DZ pairs and 297 male twins from boy-girl pairs. A total of 3172 and 2790 individual twin assessments were available in girls and boys, respectively, spanning ages 8-17 years. The availability of twin data allows the contributions of genes, the shared environment and individual unique environmental experiences to be resolved in the relative timing of pubertal changes. Parameters of the mixed model including fixed effects of age and random effects of genes and environment were estimated by Markov Chain Monte Carlo simulations using the BUGS algorithm for Gibbs sampling. The estimated standard deviation of random differences in the timing of puberty relative to age was 0.96 years in girls and 1.01 years in boys. The estimated intraclass correlations for the relative timing of pubertal changes were 0.99 +/-0.01 in MZ girls, 0.52 +/-0.02 in DZ girls, 0.88 +/-0.04 in MZ boys and 0.44+/-0.02 in DZ boys, indicating a very large contribution of genetic factors to the relative timing of pubertal change in both sexes. Additive genetic factors account for an estimated 96.3+/-3.3% of the total variance in random effects in girls and 88.0+/-3.6% in boys. Shared environmental influences account for 3.6+/-3.4% in girls and 0% in boys. In girls, nonshared environmental effects explain 0.1+/-0.1% of the total residual variance. The comparable figure in boys is 12.0+/-3.6%.

Adolescent↗

Relationships between poverty and psychopathology: a natural experiment.

CONTEXT: Social causation (adversity and stress) vs social selection (downward mobility from familial liability to mental illness) are competing theories about the origins of mental illness. OBJECTIVE: To test the role of social selection vs social causation of childhood psychopathology using a natural experiment. DESIGN: Quasi-experimental, longitudinal study. POPULATION AND SETTING: A representative population sample of 1420 rural children aged 9 to 13 years at intake were given annual psychiatric assessments for 8 years (1993-2000). One quarter of the sample were American Indian, and the remaining were predominantly white. Halfway through the study, a casino opening on the Indian reservation gave every American Indian an income supplement that increased annually. This increase moved 14% of study families out of poverty, while 53% remained poor, and 32% were never poor. Incomes of non-Indian families were unaffected. MAIN OUTCOME MEASURES: Levels of Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, psychiatric symptoms in the never-poor, persistently poor, and ex-poor children were compared for the 4 years before and after the casino opened. RESULTS: Before the casino opened, the persistently poor and ex-poor children had more psychiatric symptoms (4.38 and 4.28, respectively) than the never-poor children (2.75), but after the opening levels among the ex-poor fell to those of the never-poor children, while levels among those who were persistently poor remained high (odds ratio, 1.50; 95% confidence interval, 1.08-2.09; and odds ratio, 0.91; 95% confidence interval, 0.77-1.07, respectively). The effect was specific to symptoms of conduct and oppositional defiant disorders. Anxiety and depression symptoms were unaffected. Similar results were found in non-Indian children whose families moved out of poverty during the same period. CONCLUSIONS: An income intervention that moved families out of poverty for reasons that cannot be ascribed to family characteristics had a major effect on some types of children's psychiatric disorders, but not on others. Results support a social causation explanation for conduct and oppositional disorder, but not for anxiety or depression.

Adolescent↗

Prevalence and development of psychiatric disorders in childhood and adolescence.

BACKGROUND: This longitudinal community study assessed the prevalence and development of psychiatric disorders from age 9 through 16 years and examined homotypic and heterotypic continuity. METHODS: A representative population sample of 1420 children aged 9 to 13 years at intake were assessed annually for DSM-IV disorders until age 16 years. RESULTS: Although 3-month prevalence of any disorder averaged 13.3% (95% confidence interval [CI], 11.7%-15.0%), during the study period 36.7% of participants (31% of girls and 42% of boys) had at least 1 psychiatric disorder. Some disorders (social anxiety, panic, depression, and substance abuse) increased in prevalence, whereas others, including separation anxiety disorder and attention-deficit/hyperactivity disorder (ADHD), decreased. Lagged analyses showed that children with a history of psychiatric disorder were 3 times more likely than those with no previous disorder to have a diagnosis at any subsequent wave (odds ratio, 3.7; 95% CI, 2.9-4.9; P<.001). Risk from a previous diagnosis was high among both girls and boys, but it was significantly higher among girls. Continuity of the same disorder (homotypic) was significant for all disorders except specific phobias. Continuity from one diagnosis to another (heterotypic) was significant from depression to anxiety and anxiety to depression, from ADHD to oppositional defiant disorder, and from anxiety and conduct disorder to substance abuse. Almost all the heterotypic continuity was seen in girls. CONCLUSIONS: The risk of having at least 1 psychiatric disorder by age 16 years is much higher than point estimates would suggest. Concurrent comorbidity and homotypic and heterotypic continuity are more marked in girls than in boys.

Adolescent↗

School refusal and psychiatric disorders: a community study.

OBJECTIVE: To examine the association between anxious school refusal and truancy and psychiatric disorders in a community sample of children and adolescents using a descriptive rather than etiological definition of school refusal. METHOD: Data from eight annual waves of structured psychiatric interviews with 9- to 16-year-olds and their parents from the Great Smoky Mountains Study were analyzed. RESULTS: Pure anxious school refusal was associated with depression (odds ratio [OR] = 13, 95% confidence interval [CI] 3.4, 42) and separation anxiety disorder (OR = 8.7, 95% CI 4.1, 19). Pure truancy was associated with oppositional defiant disorder (OR = 2.2, 95% CI 1.2, 4.2), conduct disorder (OR = 7.4, 95% CI 3.9, 14), and depression (OR = 2.6, 95% CI 1.2, 56). Of mixed school refusers (children with both anxious school refusal and truancy), 88.2% had a psychiatric disorder. They had increased rates of both emotional and behavior disorders. Specific fears, sleep difficulties, somatic complaints, difficulties in peer relationships, and adverse psychosocial variables had different associations with the three types of school refusal. CONCLUSIONS: Anxious school refusal and truancy are distinct but not mutually exclusive and are significantly associated with psychopathology, as well as adverse experiences at home and school. Implications of these findings for assessment, identification, and intervention for school refusal are discussed.

Attention Deficit and Disruptive Behavior Disorder↗

Pathways into and through mental health services for children and adolescents.

OBJECTIVE: This study examined points of entry into the mental health service system for children and adolescents as well as patterns of movement through five service sectors: specialty mental health services, education, general medicine, juvenile justice, and child welfare. METHODS: The data were from the Great Smoky Mountains Study, a longitudinal epidemiologic study of mental health problems and service use among youths. The sample consisted of 1,420 youths who were nine, 11, or 13 years old at study entry. Each youth and a parent were interviewed at baseline and every year thereafter about the use of services for mental health problems over the three-year study period. RESULTS: Population estimates indicated that 54 percent of youths have used mental health services at some time during their lives. The education sector was the most common point of entry and provider of services across all age groups. The specialty mental health sector was the second most common point of entry for youths up to age 13 years, and juvenile justice was the second most common point of entry for youths between the ages of 14 and 16. Youths who entered the mental health system through the specialty mental health sector were the most likely to subsequently receive services from other sectors, and those who entered through the education sector were the least likely to do so. CONCLUSIONS: The education sector plays a central role as a point of entry into the mental health system. Interagency collaboration among three primary sectors-education, specialty mental health services, and general medicine-is critical to ensuring that youths who are in need of mental health care receive appropriate services.

Adolescent↗

Obesity and psychiatric disorder: developmental trajectories.

OBJECTIVES: To identify age-related trajectories of obesity from childhood into adolescence, and to test the association of these trajectories with the development of psychiatric disorders (conduct disorder, oppositional defiant disorder, attention-deficit/hyperactivity disorder, substance abuse, depression, and anxiety). METHODS: White children (N = 991) 9 to 16 years old from the Great Smoky Mountains Study, a representative sample of rural youth, were evaluated annually over an 8-year period for height, weight, psychiatric disorder, and vulnerabilities for psychiatric disorder. Longitudinal analyses on the repeated measures data were conducted using developmental trajectory models and generalized estimating equation models. RESULTS: Obesity was 3 to 4 times more common than expected from national rates using Centers for Disease Control and Prevention 2000 criteria. Four developmental trajectories of obesity were found: no obesity (73%), chronic obesity (15%), childhood obesity (5%), and adolescent obesity (7%). Only chronic obesity was associated with psychiatric disorder: oppositional defiant disorder in boys and girls and depressive disorders in boys. CONCLUSIONS: In a general population sample studied longitudinally, chronic obesity was associated with psychopathology.

Adolescent↗