Quick Search Form

Book Title: Treating and Preventing Adolescent Mental Health Disorders  > pp. [20]-[24]
Click here to open a preview window containing the current page in a printer-friendly form Printer Friendly   go to page    previous  |  next

 
Table 1.3 Lifetime and Annual Prevalence/100 (SE) and Incidence Rate per 100 of Bipolar I Disorder in Five U.S. Sites
Factor
New Haven, CT
Baltimore, MD
St. Louis, MO
Durham, NC
Los Angeles, CA
Total
Number in sample
5,034
3,481
3,004
3,921
3,131
18,571
Response rate (%)
77
78
79
79
68
76
Female (%)
59
62
60
60
53
59
Lifetime Rate/100
Total
1.2 (.21)
0.6 (.20)
1.0 (.20)
0.3 (.14)
0.6 (.16)
0.8 (.09)
Males
1.0 (.27)
0.7 (.22)
1.1 (.30)
0.1 (.11)
0.6 (.23)
0.7 (.12)
Females
1.3 (.30)
0.5 (.24)
1.0 (.27)
0.6 (.25)
0.5 (.21)
0.9 (.12)
M/F
0.8
1.4
1.1
0.2
1.2
0.8
Annual Rate/100
Total
1.0 (.16)
0.5 (.14)
1.0 (.20)
0.2 (.08)
0.4 (.13)
0.6 (.07)
Males
0.9 (.22)
0.5 (.21)
1.0 (.30)
0.0
0.3 (.15)
0.5 (.09)
Females
1.1 (.23)
0.5 (.18)
1.0 (.27)
0.4 (.16)
0.5 (.20)
0.7 (.09)
M/F
0.8
1.0
1.0
0.0
0.1
0.7
Annual Incidence/100
Total
0.6 (.12)
0.2 (.09)
0.1 (.07)
0.3 (.10)
0.5 (.15)
0.4 (.05)
Males
0.4 (.15)
0.0
0.0
0.1 (.09)
0.5 (.21)
0.2 (.06)
Females
0.7 (.19)
0.4 (1.6)
0.2 (.13)
0.5 (.18)
0.5 (.20)
0.5 (.08)
M/F
0.8
0.0
0.0
0.2
1.0
0.4
Age of Onset (years)
Mean
21.3 (1.6)
22.3 (3.1)
14.6 (1.6)
20.7 (3.6)
16.1 (1.0)
18.6 (0.9)
Median
22.0
18.0
17.0
22.0
17.0
18.0
Data from Epidemiologic Catchment Area study; age = 18+ years.
Table 1.4 Lifetime Prevalence/100 (SE) Bipolar I Disorder in Cross-National Sample Lifetime Prevalence/100 (SE)
Country
Overall
Males
Females
M/F Ratio
Age of Onset (Years)
Median Age of Onset (Years)
United States
 
0.8 (.14)
1.0 (.15)
0.7
18.1 (.68)
18
ECA, 1980
0.9 (.10)
NCS, 1990a
1.7 (.21)
1.6 (.29)
1.8 (.30)
0.9
24.0 (.92)
21
Edmonton, Canada
0.6 (.16)
0.7 (.25)
0.5 (.21)
1.4
17.1 (1.12)
22
Puerto Rico
0.6 (.23)
0.8 (.38)
0.5 (.27)
1.6
27.2 (3.40)
18
West Germanyb
0.5 (.37)
1.0 (.71)
29.0
25
Taiwan
0.3 (.06)
0.3 (.09)
0.3 (.07)
1.0
22.5 (1.90)
22
Korea
0.4 (.09)
0.6 (.16)
0.2 (.09)
3.0
23.0 (2.54)
18
Christchurch, New Zealand
1.5 (.36)
1.7 (.56)
1.2 (.45)
1.4
18.2 (5.90)
18
ECA, Epidemiologic Catchment Study.
a Age 18–54 years in National Comorbidity Survey (NCS).
b Only one case of bipolar disorder was reported from West Germany.
end p.20
Table 1.5 Prevalence Rates/100 of Bipolar Disorder from Studies in Children and Adolescents
Reference
Country (Year)
Sample Size
Age Range (Years)
Diagnostic Method
Diagnosis
Time Period
Rate/100
Shaffer, unpublished
USA (1992)
1,285
9–17
DISC
Mania
6 months
1.2
Lewinsohn, et al., 1995
Western Oregon (1987)
1,709
14–18
KSADS
BPD
Lifetime
1.0
Wittchen, et al., 1988
Bavaria, Germany (1988)
3,021
14–24
CIDI
BPI
BPII
Lifetime
1.4
0.4
Aalto-Setälä et al., 2001
Helsinki, Finland (2000)
647
20–24
SCAN
BPI
BPI, II, NOS
1 month
1 month
0.2
0.9
BPD, bipolar disorder; BPI, bipolar I; BPII, bipolar II; CIDI, Composite International Diagnostic Interview; DiSC, Diagnostic Interview Schedule for Children; KSADS, Kiddie Schizophrenia and Affective Disorders Schedule; NOS, not otherwise specified; SCAN, Schedules for Clinical Assessment in Neuropsychiatry.
and risk for suicide in youth has been previously reported by Brent et al. (1988), highlighting the long-held notion that bipolar disorder in youth is associated with not only high levels of morbidity but also mortality.
Lewinsohn, Klein, and Seeley (1995) studied 1,709 adolescents (14 to 18 years) randomly selected from nine senior high schools, representative of urban and rural districts in western Oregon. The lifetime prevalence of bipolar disorder (primarily bipolar disorder II and cyclothymia) was approximately 1.0%. An additional 5.7% of the sample reported experiencing a distinct period of abnormally elevated mood, expansive or irritable, although they never met the criteria for bipolar disorder per se. Both groups exhibited significant functional impairment and high rates of comorbidity (anxiety and disruptive behavior), suicide attempts, and mental health service utilization. The prevalence, age of onset, phenomenology, and course of bipolar disorder did not differ by gender. In a follow-up study, they found that less than 1.0% of adolescents with depression switched to bipolar disorder by age 24 (Lewinsohn, Rohde, Seeley, Klein, & Gotlib, 2000). The bipolar disorder and subsyndromal bipolar disorder subgroups both had elevated rates of antisocial and other personality symptoms. Both groups showed significant impairment in psychosocial functioning and had higher mental health treatment utilization. In general, adolescents with bipolar disorder showed significant continuity across developmental periods and adverse outcomes during young adulthood. Adolescent subsyndromal bi polar disorder was also associated with adverse outcomes in adulthood, but not with increased incidence of bipolar disorder, which questions the relationship of subsyndromal bipolar disorder in children and adolescents to true adulthood bipolar disorder.
A study from Bavaria, Germany, on a sample of 3,021 adolescents and young adults age 14 to 24 found a lifetime prevalence of 1.4% for bipolar I disorder and 0.4% for bipolar II disorder (Wittchen, Nelson, & Lachner, 1998). Ninety-four percent of the youth with either bipolar disorder considered themselves socially and economically impaired.
A 5-year follow-up of over 500 students of ages 20–24 years in Helsinki, Finland, found a 1-month prevalence rate of bipolar I of 0.2%. However, when bipolar II and bipolar-NOS were added, the prevalence rates were 0.9/100. In summary, the epidemiologic studies of adolescents and adults show an early age of onset of bipolar disorder and prevalence in adolescents close to what is found in studies of adults.
Comorbidity
With Attention Deficit Hyperactivity Disorder (ADHD)
The symptomatic overlap of childhood mania with ADHD is one major source of diagnostic controversy. Rates of ADHD range from 60% to 90% in pediatric patients with mania (Borchardt & Bernstein, 1995; Geller et al., 1995; West, McElroy, Strakowski, Keck, & McConville, 1995;
end p.21
Wozniak, Biederman, Kiely, et al., 1995). Although the rates of ADHD in samples of youth with mania are universally high, the age at onset modifies the risk for comorbid ADHD. For example, while Wozniak, Biederman, Kiely, et al. (1995) found that 90% of children with mania also had ADHD, West et al. (1995) reported that only 57% of adolescents with mania had comorbid ADHD. Examining further developmental aspects of pediatric mania, Faraone, Biederman, Wozniak, et al., (1997) found that adolescents with childhood-onset mania had the same rates of comorbid ADHD as manic children (90%), and that both these groups had higher rates of ADHD than adolescents with adolescent-onset mania (60%). Most recently, Sachs, Baldassano, Truman, & Guille (2000) reported that among adults with bipolar disorder, a history of comorbid ADHD was only evident in those subjects with onset of bipolar disorder before 19 years of age. The mean onset of bipolar disorder in those with a history of childhood ADHD was 12.1 years (Sachs et al., 2000). Similarly, Chang, Steiner, and Ketter (2000) studied the offspring of patients with bipolar disorder and found that 88% of manic children had comorbid ADHD and that the onset of mania in adults with bipolar disorder and a history of ADHD was 11.3 years of age. These findings suggest that age of onset of mania, rather than chronological age at presentation, may be the critical developmental variable that identifies a highly virulent form of the disorder that is heavily comorbid with ADHD.
Although ADHD has a much earlier onset than pediatric mania, the symptomatic and syndromatic overlap between pediatric mania and ADHD raises a fundamental question—namely, do children presenting with symptoms suggestive of mania and ADHD have ADHD, mania, or both? One method to address these uncertainties has been to examine the transmission of comorbid disorders in families (Faraone & Tsuang 1995; Faraone, Tsuang, & Tsuang, 1999). If ADHD and mania are associated because of shared familial etiologic factors, then family studies should find mania in families of ADHD patients and ADHD in families of manic patients. Studies that examined rates of ADHD among the offspring of adults with bipolar disorder all found higher rates of ADHD among these children than in controls (Faraone, Biederman, Mennin, & Russell, 1998).
Wozniak, Biederman, Mundy, et al. (1995) used familial risk analysis to examine the association between ADHD and mania within families of manic children. They found that relatives of children with mania were at high risk for ADHD that was indistinguishable from the risk in relatives of children with ADHD and no mania. However, mania and the comorbid condition of mania plus ADHD selectively aggregated among relatives of manic youth compared with those with ADHD and comparison children (Wozniak, Biederman, Mundy, et al., 1995). Almost identical findings were obtained in two independently defined family studies of ADHD probands with and without comorbid mania (Faraone, et al., 1998; Faraone, Biederman & Monuteaux, 2001). Taken together, this pattern of transmission in families suggests that mania in children might be a familiarly distinct subtype of either bipolar disorder or ADHD.
With Conduct Disorder (CD)
Like ADHD, CD is also strongly associated with pediatric mania. This has been observed separately in studies of children with CD, ADHD, and mania. Kovacs and Pollak (1995) reported a 69% rate of CD in a referred sample of manic youth and found that the presence of comorbid CD heralded a more complicated course of mania. Kutcher et al. (1989) found that 42% of hospitalized youths with mania had comorbid CD. The Zurich longitudinal study found that hypomanic cases had more disciplinary difficulties at school and more thefts during their juvenile years than did other children (Wicki & Angst, 1991). These reports are consistent with the well-documented comorbidity between CD and major depression (Angold and Costello 1993), because pediatric depression often presages mania (Geller, Fox, & Clark, 1994; Strober and Carlson, 1982). It is not surprising that mania and CD are also frequently comorbid.
Biederman et al. (1999) (Biederman, Faraone, Hatch, et al., 1997) investigated the overlap be
end p.22
tween mania and CD in a consecutive sample of youth referred for treatment. They found a striking similarity in the features and age of onset of mania, regardless of comorbid CD. Whether or not CD was present, mania presented with a predominantly irritable mood, a chronic course, and was mixed with symptoms of major depression. Only two manic symptoms differed between those with versus without CD: “physical restlessness” and “poor judgment” were more common in the mania-with-CD group than in the mania-only group. Similarly, there were few differences in the frequency of CD symptoms between CD youth with and without comorbid mania. Nevertheless, it is important to assess for both diagnoses because delinquency and mania require different treatment strategies.
With Anxiety Disorders
Although anxiety is frequently overlooked in studies of mania, pediatric studies of youth with panic disorder and youth with mania document a bidirectional overlap. Biederman, Faraone, Marrs, et al. (1997) found that subjects with panic disorder and agoraphobia had very high rates of mania (52% and 31%), which were greater than those observed among psychiatric controls (15%). Wozniak, Biederman, Kiely, et al. (1995) and Bowen, South, & Hawkes (1994) reported significantly more panic and other anxiety disorders in children with mania. These findings indicate that mania at any age is frequently comorbid with severe anxiety that requires additional clinical and scientific scrutiny.
With Substance Use Disorders (SUD)
There is an extensive and bidirectional overlap between mania and substance use disorders (SUD) in youth (Biederman, Wilens, et al., 1997; West et al., 1996; Wilens, Bierderman, Abrantes, Spencer, & Thomas, 1997b) as well as in adults. Juvenile-onset mania may be a risk factor for SUD. For example, a prospective study of children and adolescents with and without ADHD found that early-onset mania was a risk factor for SUD independently of ADHD (Biederman, Wilens, et al., 1997). Similarly, controlled studies in adults show that mania is often an antecedent and is strongly associated with SUD (Wilens et al., 1997b). Mania has also been shown to be overrepresented among youth with SUD (West et al., 1996; Wilens, Biederman, Abrantes, Spencer, & Thomas, 1997a).
Wilens et al. (1999) found that mania significantly increased the risk for SUD independently of conduct disorder. Furthermore, they reported that the risk for SUD was carried by those subjects with an adolescent-onset form of mania. While this may be consistent with the notion that, like adults, adolescents self-medicate manic symptoms with substances of abuse (Khantzian, 1997), it is also consistent with the hypothesis that child and adolescent onset mania are etiologically distinct forms of the disorder with different risk profiles and natural courses.
Risk Factors
Given the paucity of epidemiologic studies of bipolar disorder in youth and the fact that the relatively low lifetime prevalence (about 1%–2%) would require very large samples, risk factors have not been clearly identified from community-based studies. The most consistent risk factor for bipolar disorder is family history. While studies vary considerably in methods, sample size, and controls, they consistently show offspring of adult bipolar patients as having an increased risk, over 3-fold, of bipolar disorder as well as mood disorders, compared to offspring of controls (Carlson and Weintraub, 1993; Decina et al., 1983; Gershon et al., 1985; Hammen et al., 1990; Klein, Depue, & Slater, 1985; Nurnberger et al., 1988; Todd et al., 1996). Because most of the offspring have not lived through or even entered the age of risk, an accurate estimate of prevalence rates is not possible. However, it is important to note that although the risk to offspring of bipolar patients is increased, the majority of high-risk offspring will have neither a diagnosable bipolar illness nor any other mood disorder.
end p.23
BIOLOGY OF CHILD AND ADOLESCENT MOOD DISORDERS
Although there has been an exponential increase in our understanding of the pathophysiology of major depression in adults, we are largely dependent on extrapolations from these findings to inform us on the biology of childhood and adolescent depression (Coyle et al., 2003). In the last two decades, considerably more research on the biology of depression in children has been forthcoming. Moreover, the neurobiology of bipolar disorder even in adults remains poorly understood (Berns & Nemeroff, 2003; Wang & Nemeroff, 2003), though it represents an active avenue of investigation. Not surprisingly, our understanding of the biology of childhood bipolar disorder is virtually nonexistent.
Genetics
As noted above, the age of onset of serious mood disorders is now known to occur in children and adolescents and to persist into adulthood. Thus, much of the information that has accrued concerning the pathophysiology of mood disorders in adulthood would appear to be applicable to the childhood onset mood disorders. One important difference, however, is the apparent lack of efficacy of tricyclic antidepressants in youth as compared to that of the selective serotonin reuptake inhibitors (SSRIs), though controversy surrounds the latter contention; clearly both classes are effective in adults (Wagner & Ambrosini, 2001).
Although heritable factors appear to be the most consistent predictors of risk for major depression in children, environmental factors also play an important role (Rice, Harold, & Thapar, 2002). Especially with regard to bipolar disorder, twin, family and adoption studies have shown that heritable factors are substantial predictors of risk (Smoller and Finn, 2003). In the case of bipolar disorder in the parents, the risk extends to major depressive disorder and early onset of mood symptoms in their children (Mortensen, Pedersen, Melbye, Mors, & Ewald, 2003). No specific genes have yet been identified that are un equivocally associated with mood disorders, regardless of age of onset. However, linkage studies, especially in bipolar disorder, have identified a number of regions on the human genome associated with high heritable risk for affective disorders (Schulze and McMahon, 2003; Tsuang, Taylor, & Faraone, 2004; Table 1.6). Given the evidence for interactions between risk genes and environment, and the important role of early trauma (Heim, Newport, Bonsall, Miller, & Nemeroff, 2001; Nemeroff, 2004), the risk for early-onset depression may be magnified by the impact of a parent with depression (e.g., postpartum disorder) on a genetically vulnerable child (Weinfeld, Stroufe, & Egeland, 2000).
Early Life Stress
In unipolar major depression, environmental influences are clearly substantial. Consistent with predications from early psychoanalytic models, losses early in life, maternal deprivation, and physical and sexual abuse appear to be major risk factors when controlled for heritable risks. Recent research has highlighted the seminal importance of early psychological insults contributing to the neurobiological processes thought to underlie the pathophysiology of major depressive disorder. The pronounced effects of early life stress (ELS) throughout the lifespan are believed to be mediated by the substantial plasticity of the developing central nervous system (CNS) as a function of experience. It has been proposed that stress and emotional trauma during development permanently shape the brain regions that mediate stress and emotion, leading to altered emotional processing and heightened stress responsiveness, which in the genetically vulnerable individual may then evolve into psychiatric disorders, such as depression.
Hypothalamic–pituitary–adrenal axis (HPA)
The system that has been most closely scrutinized in mood disorders is the HPA axis, with evidence of its hyperactivity in adult patients
end p.24
  go to page    previous  |  next

 
doi:10.1093/9780195173642.003.0002
-->
Contents
 
scroll up fast
scroll up
 
scroll down
scroll down fast

Return to Top