Anxiety and anxiety disorders in children and adolescents: developmental issues and implications for DSM-V.
Journal: 2009/November - Psychiatric Clinics of North America
ISSN: 1558-3147
Abstract:
This review summarizes findings on the epidemiology and etiology of anxiety disorders among children and adolescents including separation anxiety disorder, specific phobia, social phobia, agoraphobia, panic disorder, and generalized anxiety disorder, also highlighting critical aspects of diagnosis, assessment, and treatment. Childhood and adolescence is the core risk phase for the development of anxiety symptoms and syndromes, ranging from transient mild symptoms to full-blown anxiety disorders. This article critically reviews epidemiological evidence covering prevalence, incidence, course, and risk factors. The core challenge in this age span is the derivation of developmentally more sensitive assessment methods. Identification of characteristics that could serve as solid predictors for onset, course, and outcome will require prospective designs that assess a wide range of putative vulnerability and risk factors. This type of information is important for improved early recognition and differential diagnosis as well as prevention and treatment in this age span.
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Psychiatr Clin North Am 32(3): 483-524

Anxiety and Anxiety Disorders in Children and Adolescents: Developmental Issues and Implications for DSM-V

ANXIETYAND ANXIETY DISORDERS IN CHILDREN AND ADOLESCENTS AND ITS ASSESSMENT

Childhood and adolescence is the core risk phase for the development of symptoms and syndromes of anxiety that may range from transient mild symptoms to full-blown anxiety disorders. Challenges from a research perspective include its reliable and clinically valid assessment to determine its prevalence and patterns of incidence, and the longitudinal characterization of its natural course to better understand what characteristics are solid predictors for more malignant courses as well as which are likely to be associated with benign patterns of course and outcome. This type of information is particularly needed from a clinical perspective to inform about improved early recognition and differential diagnosis as well as preventions and treatment in this age span.

Anxiety refers to the brain response to danger, stimuli that an organism will actively attempt to avoid. This brain response is a basic emotion already present in infancy and childhood, with expressions falling on a continuum from mild to severe. Anxiety is not typically pathological as it is adaptive in many scenarios when it facilitates avoidance of danger. Strong cross-species parallels—both in organisms’ responses to danger and in the underlying brain circuitry engaged by threats—likely reflect these adaptive aspects of anxiety.1 One frequent and established conceptualization is that anxiety becomes maladaptive when it interferes with functioning, for example when associated with avoidance behavior, most likely to occur when anxiety becomes overly frequent, severe, and persistent.2 Thus, pathological anxiety at any age can be characterized by persisting or extensive degrees of anxiety and avoidance associated with subjective distress or impairment. The differentiation between normal and pathological anxiety, however, can be particularly difficult in children because children manifest many fears and anxieties as part of typical development34 (Table 1). Although these phenomena might be acutely distressing, they occur in most children and are typically transient. For example, separation anxiety normatively occurs at 12 to 18 months, fears of thunder or lightning at 2 to 4 years, and so forth. Thus, given that such anxiety occurs in most children and typically does not persist, distress, in and of itself, represents an inadequate criterion for distinguishing among normal and pathological anxiety states in children. This problem creates unique challenges when trying to distinguish among normal, subclinical, and pathological anxiety states in children. Other challenges in the assessment of childhood fears and anxiety are that children at younger ages may have difficulties in communicating cognition, emotions, and avoidance, as well as the associated distress and impairments, to the diagnostician5 because they might lack the cognitive capabilities used to communicate information vital to the application of the diagnostic classification system. Thus, developmental differences (eg, cognition, language skills, emotional understanding) must be carefully considered when assessing anxiety in young people to make a diagnostic decision.6

Table 1

Normative anxiety and fears in childhood and adolescence

AgeDevelopment Conditioned Periods of Fear and AnxietyPsychopathological Relevant SymptomsCorresponding DSM-IV Anxiety Disorder
Early infancyWithin first weeksFear of loss, eg, physical contact to caregivers
0–6 monthsSalient sensoric stimuli

Late infancy6–8 monthsShyness/anxiety with strangerSeparation anxiety disorder

Toddlerhood12–18 monthsSeparation anxietySleep disturbances, nocturnal panic attacks, oppositional deviant behaviorSeparation anxiety disorder, panic attacks
2–3 yearsFears of thunder and lightening, fire, water, darkness, nightmaresCrying, clinging, withdrawal, freezing, eloping seek for security and physical contact, avoidance of salient stimuli (eg, turning the light on), pavor nocturnus, enuresisSpecific phobias (environmental subtype), panic disorder
Fears of animalsSpecific phobias (animal subtype)

Early childhood4–5 yearsFear of death or dead peopleGeneralized anxiety disorder, panic attacks

Primary/elementary school age5–7 yearsFear of specific objects (animals, monsters, ghosts)Specific phobias
Fear of germs or getting a serious illnessObsessive compulsive disorder
Fear of natural disasters, fear of traumatic events (eg, getting burned, being hit by a car or truck)Specific phobias (environmental subtype), acute stress disorder, posttraumatic stress disorder, generalized anxiety disorder
School anxiety, performance anxietyWithdrawal, timidity, extreme shyness to unfamiliar people and peers, feelings of shameSocial anxiety disorder

Adolescence12–18 yearsRejection from peersFear of negative evaluationSocial anxiety disorder

Data from Morris RJ, Kratochwill TR. Childhood fears and phobias. In: Kratochwill TR, Morris RJ, editors. The practice of child therapy. 2nd ed. New York: Pergamon; 1991. p. 76–114; and Muris P, Merckelbach H, Mayer B, et al. Common fears and their relationship to anxiety disorders symptomatology in normal children. Pers Individ Diff 1998;24(4):575–8.

Anxiety disorders are described and classified in diagnostic systems such as the Diagnostic and Statistical Manual of Mental Disorders (DSM, currently version IV-TR, American Psychiatric Association)2 or the International Classification of Diseases (ICD, currently version 10, World Health Organization)7 (Table 2). Across these systems, many anxiety disorders share common clinical features such as extensive anxiety, physiological anxiety symptoms, behavioral disturbances such as extreme avoidance of feared objects, and associated distress or impairment. Nonetheless, differences exist and it should be noted that narrowly categorized anxiety disorders such as panic disorder, agoraphobia, and subtypes of specific phobias also exhibit a substantial degree of phenotypical diversity or heterogeneity.

Table 2

Classification of anxiety disorders according to ICD-10 and DSM-IV

ICD-10DSM-IV

Neurotic, somatoform, and stress-related disordersAnxiety disordersDifferent criteria in children (vs adults)
Information on childhood anxieties as highlighted in DSM text portion
F40Phobic disorder

F40.0Agoraphobia

F40.00Agoraphobia without panic disorder300.22Agoraphobia without history of panic disorder

F40.01Agoraphobia with panic disorder300.21Panic disorder with agoraphobia

F40.1Social phobia300.23Social phobia
  • A

    In children, there must be evidence of the capacity for age-appropriate social relationships with familiar people and the social anxiety must occur in peer settings, not just in interactions with adults

  • B

    In children, the anxiety may be expressed by crying, tantrums, freezing, shrinking from social situations with unfamiliar people

  • C

    In children, the C criterion (recognizes that fear is excessive/unreasonable) may be absent.

  • F

    In individuals < 18 years, duration is at least 6 months

    Fears of being embarrassed in social situations are common, but usually the degree of distress or impairment is insufficient to warrant a diagnosis Transient social anxiety or avoidance is especially common in childhood and adolescence (eg, an adolescent girl may avoid eating in front of boys for a short time, then resume usual behavior). Unlike adults, children may not have the option of avoiding feared situations altogether, and may be unable to identify the nature of their anxiety.


F40.2Specific (isolated) phobia300.29Specific phobia
  • B

    In children, the anxiety may be expressed by crying, tantrums, freezing, or clinging

  • C

    In children, the C criterion (recognizes that fear is excessive/unreasonable) may be absent

  • F

    In individuals < 18 years, duration is at least 6 months

    Fear of animals and other objects in the natural environment are particularly common and are usually transitory in childhood. A diagnosis is not warranted unless the fears lead to clinically significant impairment (eg, unwillingness to got to school for fear of encountering a dog on the street)


F40.8Other

F40.9Not specified300.00Anxiety disorders NOS

F41Other anxiety disorders

F41.0Panic disorder (episodic paroxysmal anxiety)300.01Panic disorder without agoraphobia

F41.1Generalized anxiety disorder300.02Generalized anxiety disorder
  • C

    In children, 1 instead of 3 out of 6 symptoms is required

    In children and adolescents the anxieties and worries often concern the quality of their performance or competence at school or in sporting events, even when their performance is not being evaluated by others. There may be excessive concerns about punctuality. They may also worry about catastrophic events such as earthquakes or nuclear war. Children may be overly conforming, perfectionist, and unsure of themselves and tend to redo tasks because of excessive dissatisfaction with less-than-perfect performance. They are typically overzealous in seeking approval and require excessive reassurance about their performance and their worries. The disorder may be overdiagnosed in children, thus a thorough evaluation of presence of other childhood anxiety disorders should be done to determine whether the worries may be better explained by one of these disorders.


F41.2Mixed anxiety and depressive disorder

F41.3Other mixed anxiety disorders

F41.8Other

F41.9Not specified300.00Anxiety disorders NOS

F42Obsessive compulsive disorder300.3Obsessive-compulsive disorder
  • B

    criterion does not apply to children

    Presentations in children are generally similar to those in adulthood. Washing, checking, and ordering rituals are particularly common in children. Children generally do not request help, and the symptoms may not be ego-dystonic. More often the problem is identified by parents. Gradual declines in schoolwork secondary to impaired ability to concentrate have been reported. Like adults, children are more prone to engage in rituals than in front of peers, teachers, or strangers. For a small subset of children, the disorder may be associated with Group A beta-hemolytic streptococcal infection. This form is characterized by prepubertal onset, associated neurological abnormalities, and an abrupt onset of symptoms or an episodic course in which exacerbations are temporally related to the streptococcal infections.


F42.0Predominantly obsessional thoughts or ruminations
F42.1Predominantly compulsive acts (obsessional rituals)
F42.2Mixed obsessional thoughts and acts

F42.8Other

F42.9Not specified

F43Reaction to severe stress and adjustment disorder

F43.0Acute stress reaction308.3Acute stress disorder

F43.1Posttraumatic stress disorder309.81Posttraumatic stress disorder
  • A(2)

    In children, the criterion may be expressed by disorganized or agitated behavior

  • B(1)

    In young children, repetitive play may occur in which themes or aspects of the trauma are expressed

  • B(2)

    In children, there may be frightening dreams without recognizable content

  • B(3)

    In young children, trauma-specific reenactment may occur

    Because it may be difficult for children to report diminished interest in significant activities and constrictions of affect, these symptoms should be carefully evaluated with reports from parents, teachers, and other observers. In children, the sense of foreshortened future may be evidenced by the belief that life will be too short to include becoming an adult. There may also be “omen formation,” that is, belief in an ability to foresee future untoward events. Children may also exhibit various physical symptoms, such as stomachaches and headaches.


F43.2Adjustment disordersa

F43.8Other

F43.9Not specified

F93Emotional disorders with onset specific to childhoodDisorders usually first diagnosed in infancy, childhood or adolescence

F93.0Separation anxiety disorder of childhood309.21Separation Anxiety Disorder

F93.1Phobic anxiety disorder of childhood

F93.2Social anxiety disorder of childhood

F93.8 disordersOther childhood emotional

F93.9Childhood emotional disorder, unspecified
Different criteria in children versus. adults: In children, symptoms may also manifest as regressive behaviors such as enuresis, thumb-sucking, or baby talk. Conduct disorders may be associated feature, particularly in adolescents.

Data from ICD-10 (WHO) and DSM-IV (APA).

In the assessment of anxiety features in children one has to recognize that the core diagnostic criteria might present differently in the young, requiring special assessment strategies and the recognition of special features that are unique to or characteristic for this age group. DSM-IV acknowledges this by adding for some disorders, though not consistently, some of the features that might present differently in children and adolescents. With the exception of separation anxiety disorder, all of the anxiety disorders in DSM-IV are grouped together irrespective of the age at which the disorder manifests; separation anxiety disorder, in contrast, is defined as manifesting before adulthood. Thus for most of the anxiety disorders, differences between diagnostic criteria for children and adults, if any, are provided within the same criteria set. Examples include duration commentaries, differences in symptom type or count, or insights into the excessiveness/inadequacy of fear (Table 2). More specifically, for example, the threshold in DSM-IV for diagnosing generalized anxiety disorder is lower in children than adults (1 instead of 3 out of 6 symptoms); in phobias, children are not required to judge their anxiety as excessive or unreasonable, yet duration must be at least 6 months among individuals under the age of 18 years. For ICD-10, in contrast to DSM-IV, children receive other diagnostic codings, separate from adults, for anxiety disorders that reflect exaggerations of normal developmental trends. The specific differences in diagnosis and diagnostic criteria between children and adults for DSM-IV and ICD-10 are listed in Table 2.

It should be noted that it remains unspecified as to what age range the “child-specific” diagnostic criteria refer. Given cognitive and language development, the increasing importance of peer relationships, and the seeking of autonomy from parents, it is crucial to specify similarities and differences in anxiety expressions for different ages (eg, childhood up to 12 years, adolescence 13 to 17 years). This important issue is rarely acknowledged in the current diagnostic criteria, and not even in the text portions of the DSM that generally contain important additional information for diagnosticians and clinicians (see Table 2).

There is also little guidance in the diagnostic systems on developmentally appropriate assessment of anxiety disorders to identify those in need of treatment. Although the development of explicit descriptive diagnostic criteria has facilitated the development of diagnostic instruments for the assessment of anxiety disorders, diagnosticians and clinicians should be aware of their limitations, particularly related to developmental issues in obtaining self-reports from children and adolescents.689

Table 3 provides a selection of the most commonly used diagnostic tools for assessment of anxiety symptoms and anxiety disorders in children and adolescents. In children, applications of these tools to younger children might be more problematic than to older children, as reflected in poorer psychometric data. This problem undoubtedly at least partly reflects the difficulty young children face when trying to communicate information about internally experienced affective states.5 Therefore, assessments in young children often require solicitation of information from multiple sources beyond the child to reliably and validly distinguish among normal anxiety, subclinical, and pathological anxiety syndromes and disorders. This assessment includes parent or teacher reports. In older children and adolescents, in contrast, diagnostic decisions can rely heavily on information provided directly by the patient, although even in this age group parallel informants can also be helpful.

Table 3

Assessment in children and adolescents

InstrumentsDescriptionInformation LevelAgeReference
Inventories on symptom levels
Anxiety
CASIChild Anxiety Sensitivity Index18-items to evaluate separation anxiety, panic attacks and agoraphobic fears and children’s belief that anxiety symptoms have aversive consequencesSelf-reportSilverman et al (1991)
MASCMultidimensional Anxiety Scale for Children39 items, 4 scales: physical symptoms, social anxiety, harm avoidance, separation/panic anxietySelf-report, parent report8–16March, Parker Sullivan, Stallings &amp; Comers (1997)
RCMASRevised Children’s Manifest Anxiety Scale37 items, 3 factors: physiological manifestations of anxiety, worry and oversensitivity, fear/concentrationSelf-report6–19Reynolds &amp; Richmond (1978)
FSS-CFear Survey Schedule for Children—Revised80 items describing fears, loading on 5 factors fear of failure and criticism, fear of the unknown, fear of injury and small animals, fear of danger and death, medical fears7–18Ollendick (1983)
PARSPediatric Anxiety Rating ScaleAnxiety severity scale specifically addressing the separation anxiety, social phobia and GAD symptomsClinical rating6–17RUPP Anxiety Study Group (2002)
CBCL, YSR, TRFChild Behavior Checklist, Youth Self-Report, Teacher Report FormBehavior inventory including a broad subscale of internalizing symptomatology, a specific depression/anxiety scale4–18; 11+ (YSR)Achenbach (1991)
HARSHamilton Anxiety Rating ScaleDeveloped according to Hamilton Anxiety Rating Scale for use in childrenClark &amp; Donovan (1994)
STAICState-Trait Anxiety Inventory for Children2 independent 20-item inventories to assess state and trait anxiety8–12Spielberger (1973)
Social phobia
LSASLiebowitz Social Anxiety ScaleEvaluation of severity of fear and avoidance symptoms for social and performance-related situations; 4 subscales and total fear and total avoidance scoresSelf-reportLiebowitz (1987)
BSPSBrief Social Phobia ScaleRating of fear, avoidance, severity, and somatic symptoms of social situationsSelf-report18+, adolescentsDavidson et al (1991, 1997)
SPAI-CSocial Phobia and Anxiety Inventory for Children39 items to assess somatic, cognitive and behavioral responses to a variety of social and performance situationsSelf-report8–18Turner et al (1989); Beidel et al (1995, 2000)
SAS-C, SAS-ASocial Anxiety Scale for Children—Revised, Social Anxiety Scale for Adolescents22-item inventory with 3 factors: fear of negative evaluation, social avoidance and distress specific to new situations, generalized social avoidance and distressSelf-report, parent reportLa Greca &amp; Stone (1993)
SIASSocial Interaction Anxiety ScaleAssesses fear of interacting in dyads and groups and fear of scrutinySelf-reportMattick &amp; Clarke (1998)
Specific phobias
FSS-CFear Survey Schedule for Children—Revised80 items describing fears, loading on 5 factors fear of failure and criticism, fear of the unknown, fear of injury and small animals, fear of danger and death, medical fears7–18Ollendick (1983)
Generalized anxiety
PSWQ-CPenn State Worry Questionnaire— Children and AdolescentsAdaptation of the Penn state worry questionnaire for use with children and adolescents to assess intensity and inability to control pathological worrying with 16 items (PSWQ-C). The PSWQ-C demonstrated good convergent and discriminant validity, and excellent reliabilitySelf-report6–18Chorpita et al (1997)
Categorical diagnostic inventories
SCAREDScreen for Child Anxiety Related Emotional Disorders41 item; assesses DSM symptoms of panic, separation anxiety, social phobia, GAD, and school phobiaSelf-report, parent reportBirmaher et al (1997, 1999)
ADIS-C/PAnxiety Disorders Interview Schedule for DSM-IV—Child and Parent VersionSemistructured, interviewer-observer format, diagnoses of lifetime and current anxiety, mood, externalizing disorders and screening for other disordersSelf-report, parent reportDiNardo, O’Brien, Barlow, Waddell &amp; Blanchard (1983)
K-SADSSchedule for Affective Disorders and Schizophrenia for School-age Children—Present and Lifetime Version (Kiddie-SADS)Semistructured diagnostic interview to derive DSM diagnoses, including severity ratingsSelf-report, parent report6–17Kaufman, Birmaher, Brent, Rao &amp; Ryan (1997)
NIMHDISC-IVNIHM Diagnostic Interview Schedule for Children Version IVHighly structured interview, follows a symptom-orientated structure and covers most axis-I disordersSelf-report6–17Shaffer, Fisher, Lucas, Dulcan &amp; Schwab-Stone (2000)
DICADiagnostic Interview for Children and AdolescentsStructured syndrome-orientated interview, also parent version (DICA-P) availableSelf-report, parent report6–17Herjanic &amp; Reich (1982); Welneret et al (1987)
CAEFChildren’s Anxiety Evaluation FormCombination of semistructured interview+chart review+direct observationHoehn-Saric et al (1987)
CAPAChild and Adolescent Psychiatric AssessmentAssesses 30 different categorical disorders, family, peer, academic functioning, life events, service useSelf-report, parent report8+Angold &amp; Costello (2000); Angold et al (1995)
CIDIComposite International Diagnostic InterviewStandardized assessment of symptoms, syndromes and diagnoses of 48 mental disorders according to DSM-IV and ICD-10 criteria along with information about onset, duration, and severity; respond lists to increase validity and to diminish recall biasSelf-report14–65Wittchen &amp; Pfister (1997)
CSAChildren’s Assessment ScheduleSemistructured psychiatric interview to determine specific diagnoses for clinical practice, or to derive a total score of problems or symptoms, separate scores for specific content areas or symptom complexesSelf-report6–17Hodges et al (1982)

Note: References from this table are available from the corresponding author.

Beyond these problems, unclear rules for applying diagnostic thresholds and variations in the methods used to aggregate information from different sources may drastically influence prevalence estimates (see later discussion) and might also impact findings from basic and epidemiological research. Thus, anxiety disorders in children and adolescents cannot be easily assessed with standard questionnaires or interviews that have been derived from adult instruments. In fact, the use of structured and standardized interviews for children and adolescents has much improved the reliability and validity of anxiety diagnoses in children and adolescents in the last 2 decades. Such instruments also have an advantage over symptom scales in that they allow a better delineation of transient subclinical manifestations of anxiety from anxiety disorders that were shown to have predictive validity and even concrete implications for prevention early intervention, and treatment.

The next section highlights developmental issues in anxiety, with focus on anxiety disorders (1) by critically reviewing recent data on the prevalence, incidence, age of onset, natural course, and longitudinal outcome of anxiety disorders, including comorbidity and psychosocial impairments and disabilities, and (2) by addressing important correlates and potential risk factors. The review focuses on the following categorically defined anxiety disorders: separation anxiety disorder, specific phobias, social phobia, agoraphobia, panic disorder, and generalized anxiety disorder (GAD). Obsessive-compulsive disorder and posttraumatic stress disorder are not covered in this article because of additional complicating issues involved with these diagnoses, for example, controversy in regard to their grouping with the other anxiety disorders.10 As an attempt is made to provide information on development, the authors focus on children (defined here as up to age 12), adolescence (defined here as ages 13 to 17), and young adults (defined here as ages 18 to 35 years).

EPIDEMIOLOGY OF ANXIETY DISORDERS IN CHILDHOOD AND ADOLESCENCE

Prevalence and Onset

There is persuasive evidence from a range of studies that anxiety disorders are the most frequent mental disorders in children and adolescents, and thus seem to be the earliest of all forms of psychopathology. The onset of anxiety disorders (or symptoms/syndromes of anxiety) has been assessed in youth and adult samples, in cross-sectional and longitudinal surveys, most frequently by using the answers of the respondents to questions like “When was the first time you experienced…” (Fig. 1). Of note, such reports may be subject to recall bias,11 particularly in studies among older adults or in studies that retrospectively cover long time periods. As a consequence, reports of mean ages of onset are likely to be heavily influenced by the age range of the studied population (higher mean estimates in adult studies). Thus, age of onset distribution curves that cumulate recently assessed new cases across age (Fig. 2) are more informative and reliable with regard to actual onset patterns and core incidence periods (ie, high-risk phases for first onset of disorders).

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Assessing onset of anxiety disorders. The age of onset of anxiety disorders can be directly assessed by asking “When was the first time you experienced….” The retrospectively reported ages often reflect the syndrome, rather than disorder onset, and can be subject to recall bias. This fact is indirectly reflected by observations from longitudinal studies whereby different ages of onset are reported for the same condition at various assessment waves. Other sources of information on age of onset are prevalence estimates for disorders in aggregated age groups (mostly reported in cross-sectional studies). More reliably but also more rare, incidence reports from longitudinal studies (ie, the proportion of new cases in a defined time interval) provide insights into the disorder onset.

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Patterns of age of onset of anxiety disorders (EDSP; N = 3021). (Note: In phobias impairment was required among subjects aged 18 years or older; *Separation Anxiety Disorder was only assessed in a subsample at T1.)

Findings suggest that onset of the first or any anxiety disorder is clearly in childhood (eg, Refs.121314). Yet, leaving aside that some anxiety disorders might be preceded in their onset by other earlier comorbid anxiety disorders, there is some noteworthy heterogeneity between the specific anxiety disorders that reveals a temporal sequence of core risk periods for first onset of anxiety disorders in childhood and adolescence. In terms of validation these differences in age of onset provide one important indicator for separating different types of anxiety disorders.15 The earliest age of onset has been consistently found for separation anxiety disorder and some types of specific phobias (particularly the animal, blood injection injury, and environmental type), with most cases emerging in childhood before the age of 12 years,121617 followed by the onset of social phobia with incidences in late childhood and throughout adolescence, with very few cases emerging after the age of 25.121819 Panic disorder, agoraphobia, and GAD, in contrast, have their core periods for first onset in later adolescence with further first incidences in early adulthood,121420 despite the fact that some cases, especially with panic attacks, might occur as early as age 12 years or before.21 Particularly for GAD as defined by the 6-month duration criterion, new cases also emerge throughout middle and late adulthood.122022 It should be noted, however, that some doubts have been expressed about whether the 6-month duration criterion for GAD is appropriate in general2324 and useful in children and adolescents in particular.25 Indirect evidence for GAD of shorter duration comes from studies using the former diagnosis of overanxious disorder (OAD), for which considerably earlier onsets and higher prevalence rates have been found among children (Table 4). Although the lack of specific diagnostic continuity for OAD into adulthood26 might speak against the definition of GAD by using a shorter duration, an accordant change of diagnostic criteria of GAD for children in DSM-V is currently under investigation.

Table 4

Prevalence (%) of anxiety disorders in children, adolescents and young adults

Study (Country)ReferenceInstrumentNAgeSourceAny Anxiety
Disorder
Specific Phobia
Social Phobia
Agoraphobia
Panic Disorder
GAD/OAD
LifetimePeriodLifetimePeriodLifetimePeriodLifetimePeriodLifetimePeriodLifetimePeriod
DSM-III-R
DMHDS (New Zealand)McGee et al (1990)DISC94315P/C3.6c1.1c[5.9]c
Feehan et al (1994)DIS-m-R93017–19C6.1c11.1c4.0c0.8c1.8c
Newman et al (1996)DIS96121C8.4c9.7c3.8c0.6c1.9c
Kim-Cohen et al (2003)DIS96726C7.1 c10.7c3.9c5.5c

CHDS (New Zealand)Fergusson et al (1993)DISC-P98615P3.9c1.3c0.7c1.7 [0.6]c
DISC-C965C10.8c5.1 c1.7 c4.2 [2.1]a
Woodward &amp; Fergusson (2001)DIS96415–16P/C29.920.62.91.5d11.0 [4.7]

OADP (USA)Lewinsohn et al (1993)K-SADS171013–19 (T1)C8.82.01.40.70.8[1.3]
1 year FU (T2)C9.21.51.50.61.2[1.2]

Dutch-A (Netherlands)Verhulst et al (1997)DISC78013–18P16.5b9.2b6.3b1.9b0.3b0.7 [1.5]b
DISCC10.0b4.5b3.7b0.7b0.2b0.6 [1.8]b

ZESCAP (Switzerland)Steinhausen et al (1998)DISC3796–17P11.4b5.8b4.7 b1.9 b0.5 [2.1]b

QCMHS (Canada)Breton et al (1999)DISC24006–8C9.2b3.2b3.9b
P17.5b14.6b2.7b
9–11C5.8b1.3b3.8b
P14.6b12.6b2.9 b
12–14C12.2b10.2b1.7 b
P12.1b7.5b5.5 b

Quebec (Canada)Romano et al (2001)DISC120114–17C8.9b1.5b4.6b1.9 b1.1 [2.6]b
DISCP6.5b1.0b2.9b0.9 b0.8 [2.3]b
P/C14.0b2.5b6.9b2.8 b1.7 [4.5]b

WIC (USA)Keenan et al (1997)K-SADS1045C11.54.6[1.1]
DSM-IV

GSMS (USA)Bittner et al (2007)CAPA9069/11/13P/C16.1a0.6a1.5a2.5a3.1a5.8 [6.6]a
906<13P/C6.6a0.4a0.6a0.1a(0.2)a1.8 [1.7]a
906>13P/C10.6a0.2a1.0a2.4a(3.0)a4.0 [5.5]a

EDSP (Germany)Wittchen et al (1998); Wittchen, Stein &amp; Kessler (1999)CIDI302114–24C14.49.3c2.31.8c3.52.6c2.61.6c1.61.2c0.80.5c
Wittchen et al (1999)CIDI139514–17C21.314.5c17.110.9c3.72.9c2.82.1 c0.70.3c0.30.2c

BJS (Germany)Essau et al (1998); Essau et al (2000)CAPI103512–17C18.611.3c3.52.7c1.61.4c4.12.7c0.50.5c0.40.2c
38012–13C14.78.9c2.62.1c0.50.5c2.41.3c0.00.0c0.00.0c
35014–15C19.712.0c3.12.6c2.01.1c4.93.4c0.90.9c0.90.3c
30516–17C22.013.4c4.93.6c2.62.6c5.23.6c0.70.7c0.30.3c

CCCS (USA)Angold et al (2002)CAPA9209–170.4a1.4a0.5a1.2a

New Zealand Mental Health Survey (New Zealand)Wells et al (2006)CIDI12,99216+C14.8c7.3c5.1c0.6c1.7c2.0c
16–24C17.7c9.3c7.0c0.7c2.4c1.6c

IPRP-Study (Puerto Rico)Canino et al (2004)DISC18864–17P/C6.9c2.5c0.5c2.2c

Taiwan Epidemiological Study of Mental Disorders in Adolescents (Taiwan)Gau et al (2005)K-SADS-E1070Seventh gradeC9.2a5.0a3.4a0.2a0.2a0.7a
1051Eighth gradeC7.4a5.6a1.8a0.0a0.1a0.3a
1035Ninth gradeC3.1a0.7a2.0a0.0a0.0a0.4a

Note: References from this table are available from the corresponding author. GAD, generalized anxiety disorder; OAD, overanxious disorder; [ ] indicates overanxious disorder, () indicates panic attacks; P, parent report; C, child report.

Study abbreviations in alphabetical order: BJS, Bremer Jugendstudie (Bremen Adolescent Study); CCCS, Caring for Children in the Community Study; CHDS, Christchurch Health and Development Study; DMHDS, Dunedin Multidisciplinary Health and Development Study; Dutch-A, Dutch Adolescents; EDSP, Early Developmental Stages of Psychopathology; GSMS, Great Smoky Mountains Study; IPRP-Study, Island of Puerto Rico Prevalence Study; OADP, Oregon Adolescent Depression Project; QCMHS, Quebec Child Mental Health Survey; ZESCAP, Zurich Epidemiological Study of Child and Adolescent Psychopathology.

Abbreviations of diagnostic interviews: CAPA, Child and Adolescent Diagnostic Assessment; CAPI, Computer Assisted Psychiatric Interview (based on CIDI); CIDI, Composite International Diagnostic Interview; DICA, Diagnostic Interview for Children and Adolescents; DIS, Diagnostic Interview Schedule; DISC, Diagnostic Interview Schedule for Children; K-SADS, Schedule for Affective Disorders and Schizophrenia for School-age Children; SPIKE, Structured Psychopathological Interview and Rating of the Social Consequences for Epidemiology.

3-month.
6-month.
12-month.
Indicates agoraphobiapanic disorder.

Fig. 2 graphs for males and females the age of onset distribution of anxiety disorders assessed in a prospective-longitudinal community study (Early Developmental Stages of Psychopathology, EDSP) among adolescents and young adults up to age 34 years. No remarkable gender differences in onset patterns occur with 2 exceptions: compared with females, males exhibit a somewhat earlier onset of specific phobia of natural environmental type, and a later onset of GAD.

Prevalence estimates in aggregated age groups (see Fig. 1) also give some convergent, though crude indications for the early onset of a disorder. Prevalence estimates (Table 4) tend to further increase with age among children and adolescents for GAD, social phobia, panic disorder, and agoraphobia, which is not seen with the same magnitude in specific phobia or separation anxiety disorder. Confirming retrospective age of onset information, these data allow one to define “core periods of risk” for the first anxiety disorder onset in childhood for the latter conditions and in adolescence for the former conditions. Similar conclusions emerge from incidence estimates (proportions of new-onset cases between 2 assessment waves among those who were previously not affected) from prospective-longitudinal studies.1727

Frequency of Anxiety Disorders

Community prevalence estimates (see Table 4) vary slightly due to differences in the studied age groups, assessment instruments (eg, Composite International Diagnostic Interview [CIDI], Kiddie-Schedule for Affective Disorders and Schizophrenia for school-aged children [K-SADS]), information source (eg, self-report, parent/teacher report), method of data aggregation (from multiple information sources or multiple assessment waves), and the diagnostic systems used (ie, DSM-III-R, DSM-IV, ICD-10). In addition, data aggregation from various assessment waves in prospective-longitudinal studies, the number and type of diagnoses included in summary categories (eg, “any” anxiety disorder), and the strictness of application of criteria in generating diagnoses (eg, impairment required or not) are other sources for variance. Differences in prevalence estimates from different countries are unlikely reflective of true regional differences, although it should be noted that most epidemiological studies examine prevalence in Western, industrialized countries that may differ from developing countries or other cultures.

Despite notable variation in prevalence estimates that is likely due to method variance, the lifetime prevalence of “any anxiety disorder” in studies with children or adolescents is about 15% to 20%. In particular, it is noteworthy that the period prevalence estimates, for example 1-year or 6-month rates, are not considerably lower than lifetime estimates. This fact indirectly indicates that anxiety disorders exhibit a persisting course or that high rates of forgetting occur for remitted disorders. The most frequent disorders among children and adolescents are separation anxiety disorder (not included in Table 4), with estimates of 2.8% and 8%,282930 and specific and social phobias, with rates up to around 10% and 7%, respectively. Agoraphobia and panic disorder are low-prevalence conditions in childhood (1% or lower); higher prevalences are found in adolescence (2%–3% for panic and 3%–4% for agoraphobia). Of note, considerable controversy surrounds the diagnosis of agoraphobia. Whereas some epidemiological studies find high rates of agoraphobia without evidence of panic attacks, some suggest that this finding reflects diagnostic inaccuracy in epidemiological studies.31 This issue generally has not been addressed with the same level of rigor in studies of children and adolescents, compared with studies in adults. However, recent findings from the EDSP study among adolescents and young adults suggest that agoraphobia exists as a clinically significant phobic condition independent of panic.21

As mentioned before, it is more difficult to provide precise prevalence estimates of GAD in children and adolescents, because this diagnosis only has been applied to youth in DSM-IV, published in 1994.2 Before 1994, children presenting with worries about multiple events, who typically would receive the DSM-IV diagnosis of GAD, were given the diagnosis of OAD but not GAD. When OAD was subsumed under the diagnosis of GAD in DSM-IV, different criteria were applied to children with multiple worries in DSM-IV, relative to earlier nosologies. This situation complicates attempts to compare earlier to later studies but may explain the lower prevalence rates for GAD than for OAD. Thus, a proportion of children and adolescents who were diagnosed with OAD in the past seem to remain undiagnosed based on current GAD criteria. Similarly, GAD criteria may also identify some children and adolescents who would not meet DSM-III-R criteria for OAD. Data from the EDSP study revealed a cumulative incidence for GAD of 4.3% at age 34 years with relatively few onsets observed in childhood, and the core incidence period being in adolescence and young adulthood.14

In terms of sex differences, all anxiety disorders more frequently occur among females than among males. Although sex differences may occur as early as childhood they increase with age,32 reaching ratios of 2:1 to 3:1 in adolescence (eg, Refs.2833). Fig. 3 depicts the cumulative incidence for anxiety disorders among females and males as assessed in the EDSP study. Unlike for panic attacks (compare Ref.21), the sex difference in panic disorder is apparent in cases before the age of 14 but increases further between the ages of 14 and 25 years. The incidence curve for panic disorder reveals a very clear-cut period of increased incidence in females between the ages of 13 and 26 years, whereas males display lower estimates and the period of increased incidence is less pronounced. Agoraphobia revealed a strong and steady incidence increase for females after the age of 6, whereas agoraphobia in males was observed less frequently, with some indication of increased incidence between the ages of 15 and 20 and a leveling off after the age of 25 years. In contrast, a clear sex difference in prevalence was already seen in childhood in the specific phobia animal type (ratio 3:1 by age 10 years).

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Cumulative Incidence of anxiety disorders (EDSP; N=3021). (Note: Percentages in the legends refer to the estimated cumulative incidence rate at age 33, *age 19 for Separation Anxiety Disorder which was only assessed in a subsample at T1; in phobias impairment was required among subjects aged 18 years or older.)

The choice of appropriate categorical diagnostic thresholds remains a critical issue, giving rise to the consideration of dimensional measures replacing the up to now problematic diagnostic “cutoffs.”34 There is little doubt that the nature of psychopathology is more appropriately conceptualized by dimensional measures and that there is no evidence for a natural point of rarity for most disorders, including anxiety disorders and core anxiety features. In this respect the DSM-IV clinical significance criterion—requiring distress or impairment in social or role functioning—which was introduced to decrease the false-positive problem in psychiatric diagnosis, is particularly problematic.35 Prevalence rates would markedly increase when the clinical significance criterion threshold simply is lowered or omitted (eg, Ref.36). In DSM, such subjects with “subclinical anxiety” would then be classified under “Other Conditions That May Be a Focus of Clinical Attention.” As for adults, there is considerable evidence that children and adolescents not meeting the DSM defined clinical significance threshold might still reveal a similar range of adverse correlates as those meeting the threshold (eg, Ref.33). Critical questions therefore are “how can clinical significance or dysfunction be ideally defined” and “what constitutes clinical significance in children versus adolescents versus adults?” Another related concern is that any solution for the distress or impairment criterion that would be applied to anxiety disorders should ideally also be applied to other mental disorders for the reason of consistency.

Similarly, other critical issues relate to symptomatic thresholds required for diagnosis, ie, symptom number, intensity, severity, and temporal thresholds such as duration, persistence, and the clustering of symptoms and criteria in a given time frame.37 Despite given clinical significance (ie, distress or impairment), such conditions would be classified under the nonspecific residual category “Anxiety Disorder Not Otherwise Specified.” With few exceptions, criteria for children resemble those for adults. Particularly for diagnosis with high symptomatic threshold criteria, it may be clinically relevant to lower the threshold for children (eg, shorter duration requirement, fewer symptoms), to detect affected children early and to provide adequate and focused interventions. Such critical issues have raised significant concerns toward the DSM-V as to whether dimensional and developmental aspects should be specified to provide more clinically relevant information to facilitate diagnosis and treatment.3435373839

A graphical presentation of the criteria threshold problem is shown in Fig. 4. For each of the anxiety diagnoses, DSM-IV provides a specified diagnostic criteria set including symptom count, time/persistence, and clinical significance requirements reflecting the threshold for diagnosis. Falling short of just one criterion leads to nondiagnosis (or nonspecific classification such as “Anxiety Disorder Not Otherwise Specified” or “Other Conditions That May Be a Focus of Clinical Attention”) despite the presence of significant specific anxiety Fig. 4A). Thus, the inclusion pathology ( of dimensional facets in diagnostic systems may facilitate diagnosis and treatment, but it my also complicate the assessment (ie, by use of rating scales or questionnaires, or by the need to develop such scales). Clinicians should also keep in mind that the time point and time frame of assessment may be crucial for diagnosis and diagnostic decisions; aspects also essential for interpreting the epidemiological data adequately. Thus, a lifetime diagnostic approach that describes all psychopathological phenomena in a person up to the age of assessment might yield very different diagnostic data than a cross-sectional approach that covers, for example, a 4-week or a 12-month time frame (compare Fig. 4B); for some diagnoses (like panic/agoraphobia within the anxiety spectrum or bipolar disorders in the mood disorders) a lifetime approach is essential. Variation in assessment might also affect the rates of “subclinical” or “subsyndromal/subthreshold” conditions, simply because a cross-sectional subthreshold condition may have been threshold at a previous point in time, thus more appropriately labeled as partially remitted.

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The threshold problem in diagnosing children and adolescent. Diagnostic criteria define thresholds for diagnoses by specifying type and number of symptoms, the duration and persistence that the symptoms need to be present, and the clinical significance (A). Due to the current categorical classification system, being short of just one criterion (eg, only 2 instead of 3 symptoms, only 5 months’ instead of 6 months’ duration, only 3 instead of 4 days a week, all symptom criteria met but no distress or impairment reported) leads to non-diagnosis (or nonspecific classification as “Anxiety Disorder Not Otherwise Specified” or “Other Conditions That May Be a Focus of Clinical Attention”). The variation of symptoms over time and difficulties in retrospective assessment may negatively affect correct diagnosis. Therefore it is also crucial to take a lifetime approach to diagnosis (B). Mere cross-sectional assessment may lead to erroneous nondiagnosis based on transient alleviation of symptoms.

Natural Course and Longitudinal Outcome

Knowledge on the natural course of anxiety disorders after their first onset is increasing, although several methodological challenges exist. Biases of various sorts are inherent in studies based on clinical samples or in studies using retrospective information on course. Such methods may lead to overestimations of the degree to which anxiety disorders typically seem chronic. Hence, longitudinal studies have clear advantages, particularly when they are based on representative community samples assessed throughout the core high-risk period of first onset and subsequent potential periods of chronic illness. As such, these types of studies represent the method of first choice to study the natural course of anxiety disorders (Fig. 5). Although such studies are costly and time consuming, several studies among youth have become available (Table 5).

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Assessing the course of anxiety disorders. Several approaches exist to study the course of anxiety disorders. Cross-sectional studies most frequently use retrospective age of onset and age of recency reports to calculate the duration of a condition in years. This approach assumes a continuous disorder course, and may thus overestimate the duration and chronicity because symptom-free intervals are not taken into account. Another indirect measure of disorder chronicity is the proportion of point to lifetime prevalence. The higher the proportion, the higher the chronicity. Because only categorical diagnoses are considered here (no symptomatic improvements below the diagnostic threshold), this may lead to underestimation of chronicity. Overall, cross-sectional studies allow for only crude estimations of course and chronicity of anxiety disorders. Longitudinal studies, in contrast, allow for a more realistic description of the course of a disorder. Taking a prospective approach, the proportion of individuals meeting or not meeting the criteria again at follow-up is frequently used to describe stability and remission. Considering only the full DSM-IV diagnostic level, higher remission rates are possible because improvements below the diagnostic threshold are not taken into account. Thus, the most valid way to describe the course of anxiety disorders is to consider also subthreshold or subsyndromal conditions.

Table 5

Course of anxiety disorders from childhood and early adolescence to late adolescence and adulthood (follow-up and follow-back studies)

Disorder of InterestStudy CharacteristicsOutcome
ReferenceStudy (Country)NAge at BaselineFU Duration in YearsSame DisorderOther Anxiety DisorderDepressive DisorderOther Disorders
Social phobia
Stein et al (2001)EDSP (Germany)254814–245xxx
Merikangas et al (2002)Zurich study (Switzerland)59118–1915xxx
Essau, Conradt &amp; Peterman (2002)BJS (Germany)103512–171.3x
Pine et al (1998)NYCLS (USA)7769–189xx
Last et al (1996)(USA)2475–1834xxn.e.
Hale et al (2008)CONAMORE (Netherlands)131812–165xn.e.n.e.
Gregory et al (2007)DMHDS (New Zealand)10371121xxn.e.
Bittner et al (2007)GSMS (USA)9069/11/136–10mADHD (m)
GAD/OAD
Gregory et al (2007)DMHDS (New Zealand)10371121xxn.e.
Pine et al (1998)NYCLS (USA)7769–189xxx
Bittner et al (2004)EDSP (Germany)254814–245n.en.ex
Bittner et al (2007)GSMS(USA)9069/11/136–10 OAD:ffCD (m)
6–10 GAD:fSubstance use disorders (f)
Hale et al (2008)CONAMORE (Netherlands)131812–165fn.e.n.e.
Separation anxiety disorder
Foley et al (2004)(USA)161 twins8–171.5xxCD, ADHD, ODD
Hale et al (2008)CONAMORE (Netherlands)131812–165n.e.n.e.
Bittner et al (2007)GSMS (USA)9069/11/136–10ff
Bruckl et al (2007)EDSP (Germany)109014–244n.e.xBipolar disorders, pain disorders, alcohol dependence
Pine et al (1998)NYCLS (USA)7769–189n.e.
Agoraphobia
Gregory et al (2007)DMHDS (New Zealand)10371121xxn.e.
Specific phobias
Gregory et al (2007)DMHDS (New Zealand)10371121xxn.e.
Pine et al (1998)NYCLS (USA)7769–189x
Panic disorder
Gregory et al (2007)DMHDS (New Zealand)10371121xxn.e.
Hale et al (2008)CONAMORE (Netherlands)131812–165n.e.n.e.
Any anxiety disorder
Last et al (1996)(USA)1025–184xxxBehavioral disorders
Clark et al (2007)1958 British birth cohort9727birth45n.e.n.e.n.e.Internalizing and externalizing disorders
Woodward &amp; Fergusson (2001)CHDS (New Zealand)96414–1621xxSubstance use disorders
Kim-Cohen et al (2003)DMHDS (New Zealand)1037birth26xxx
Feng et al (2008)WIC (USA)290 (boys only)7–17 months8xxx
Lewinsohn et al (1997)OADP (USA)150713–191n.e.xxExternalizing disorders (substance use, disruptive behaviors)

Note: References from this table are available from the corresponding author. No associations found. x, positive associations irrespective of gender; f, positive associations only in females; m: positive associations only in males; n.e., not estimated; CD, conduct disorder, ADHD, attention-deficit/hyperactivity disorder; ODD, oppositional defiant disorder.

Study abbreviations: CHDS, Christchurch Health and Development Study; CONAMORE, Conflict and Management of Relationships; DMHDS, Dunedin Multidisciplinary Health and Development Study; EDSP, Early Developmental Stages of Psychopathology; GSMS, Great Smokey Mountain Study; NYCLS, New York Child Longitudinal Study; OADP, Oregon Adolescent Depression Project; WIC, Women Infants Children Program (Pittsburgh).

Anxiety disorders seem to take a chronic course based on findings from clinical adult populations (eg, Refs.4041) or retrospective studies (eg, Refs.4243). Prospective epidemiologic follow-up studies among youth from the community only partially support these observations. Thus, on one hand, this work does show that individuals diagnosed with an anxiety disorder, compared with those without, are at statistically increased risk to have the same disorder (eg, Refs.2628; compare Table 5) or signs and symptoms of the same disorder254445 at later points in time (“homotypic continuity”). Moreover, follow-back analyses also reveal that those with anxiety disorders in adulthood frequently had the same problems earlier in life (eg, Ref.46).

Nevertheless, despite significant longitudinal associations, stability rates (in the form of proportions) of anxiety disorders among youth from the community are overall only low to moderate. For example, in the 15-year prospective multiwave Zurich Cohort study47 a low stability (4%) was found for pure anxiety disorder, defined as GAD or panic disorder. For social phobia no individual met diagnostic criteria continuously at each follow-up assessment, after the disorder had manifested.48 In the prospective-longitudinal EDSP study, in adolescents aged 14 to 17 at baseline the probability of a positive outcome at 2-year follow-up decreased as a function of severity of baseline anxiety diagnostic status.45 However, only 19.7% of threshold baseline anxiety cases met threshold anxiety criteria again at follow-up. For the specific diagnoses, considerable variability in outcome was revealed. Taking stable threshold and subthreshold diagnoses at baseline and at follow-up, panic disorder (44%) and specific phobia (30.1%) were found to be most stable, but even here more than 50% of cases were not completely stable. Other disorders showed higher rates of instability, with agoraphobia (13.4%) and social phobia (15.8%) being particularly unstable. Similar trends emerge from clinical studies with youth as well as in an additional series of epidemiological studies (see for review Ref.49). For example, Last and colleagues1350 found among children and adolescents (aged 5–19 years) with anxiety disorders that over the 3- to 4-year follow-up, 80% had remitted from the anxiety shown initially. Thus overall, among children and adolescents with an anxiety disorder, there is a considerable degree of fluctuation in diagnostic status of the specific anxiety disorder examined; anxiety disorders have a strong tendency to naturally wax and wane over time, particularly in young age groups.45 It is particularly remarkable that even in disorders that are defined as being chronic, such as GAD, prospective stability rates are only moderate.51

Given the limited homotypic continuity observed in prospective-longitudinal community studies among youth, the question arises as to whether children and adolescents whose specific anxiety disorder seems to improve or remit are completely healthy in their further course of life. The answer is that this is clearly not the case. For example, in the EDSP only 10% of children and adolescents with specific phobias at baseline had no mental disorder at 10-year follow-up (full diagnostic remission); 41% reported the same disorder (strict homotypic continuity) and overall, 73% were diagnosed with any anxiety or depressive disorder at subsequent assessments (heterotypic continuity).52 Similarly, only 13% of baseline social phobia cases were free of any diagnosis during the 10-year follow-up; 35% and 64% reported the same disorder and any anxiety/depression respectively. For GAD and PTSD, even all baseline cases revealed either homotypic or heterotypic continuity. Similar findings emerge from other multiwave, prospective-longitudinal studies.13284753 Thus, even if for many anxiety cases strict homotypic continuity is moderate, there is a substantial degree of continuity of psychopathology as indicated by the later presence of other anxiety disorders (broad homotypic continuity) or other disorders (heterotypic continuity).

In children and adolescents, there is considerable interanxiety (homotypic) comorbidity with significant association between virtually all specific anxiety disorders, including specific phobia subtypes.54 The number of “pure” anxiety cases decreases with age in favor of patterns with multiple anxiety disorders by late adolescence or early adulthood. The “load” of anxiety seems to contribute to the development of secondary psychopathological complications. For example, Woodward and Fergusson55 examined life course outcomes of adolescents with anxiety disorders in a 21-year longitudinal study of a birth cohort of 1265 New Zealand children (CHDS). There were significant associations between the number of anxiety disorders reported in adolescence and later risks of anxiety disorder, major depression, substance dependence, and suicidal behavior. In this study, a higher number of anxiety disorders was also associated with other adverse developmental outcomes such as educational underachievement and early parenthood.

The development of secondary depression seems to be a particularly frequent and concerning heterotypic outcome of anxiety disorders. Is this a characteristic of anxiety in general rather than an issue of specific anxiety disorders or anxiety features (such as panic, avoidance, accumulation of risk factors)? Or is this related to an overarching anxiety or anxiety-depression liability, possibly through shared etiopathogenetic mechanisms (eg, neurobiology)? Cross-sectional and longitudinal studies examined the association between anxiety disorders and depressive disorders1455565758 and concluded that anxiety disorders in general, and also specific types of anxiety disorders (such as phobias, GAD, panic disorder, and so forth) consequently increase the risk for developing a secondary depressive disorder. For example, prospective epidemiological studies found that children and adolescents with specific fears and phobias (especially fear of darkness),59 social phobia,186061 or other types of anxiety disorders (agoraphobia, panic disorder, GAD)1461 have an increased risk of developing a subsequent depressive disorder. This increased risk for secondary depression seems to be independent of age of onset of anxiety.18 It could further be shown that certain clinical characteristics of anxiety disorders are associated with secondary depression risk. Onset of depression is more likely in individuals with a higher number of anxiety disorders, a more severe impairment of anxiety disorders, and when panic attacks co-occur.1861 Panic attacks among youth have also been shown to be a significant predictor for a wide range of mental disorders and severe psychopathology, particularly as indicated by the incidence of multiple anxiety disorders and substance use disorders.62

Besides depression, substance abuse or dependence (alcohol or drugs and medication) is a frequently occurring heterotypic problem among subjects with anxiety disorders.576364 It has been suggested that substance use is motivated as a possibility to deal with anxiety symptoms, leading to substance-related problems and disorders over the long term.65 The onset of anxiety disorders precedes that of alcohol and drug disorders at nearly all levels of severity of substance use disorders (use, problems, dependence). Anxiety disorders have been shown to be significant predictors of the subsequent first onset of substance use disorders in cross-sectional and longitudinal analyses.656667 Although substance use disorders are typically associated with so-called externalizing disorders, such as conduct disorder, attention deficit hyperactivity disorder, or antisocial personality disorder (eg, Ref.68), there is also a strong and significant association with “internalizing” disorders, including anxiety disorders.69 This potentially important pathway has recently been overlooked. Previous research suggests the existence of a second, though less frequent, pathway to substance use disorders originating in early anxiety disorders.70

Higher-Order Psychopathological Factors and Metastructure

The frequent observation of comorbidity even in community-based samples has prompted factor analytical studies of higher-order structures of psychopathology. A 2- to 3-factor solution has been repeatedly found when using a limited group of anxiety, depressive, substance use, and antisocial behavior diagnoses.717273747576 Anxiety and depressive disorders were consistently loading on an “internalizing” factor that moderately correlates with an “externalizing” factor reflecting substance use and antisocial disorders. The available adult studies frequently revealed 2 additional subfactors for internalizing, namely “fear” (which includes most anxiety disorders) and “anxious-misery” (which includes depressive disorders, but also GAD and PTSD).7172737475 Among youth, this 3-factor structure has so far been replicated using only the EDSP sample.77

The finding that all types of anxiety disorders accompany depression is clinically somehow counterintuitive, and therefore several critical concerns have been expressed (see article by Wittchen and colleagues78 in this issue). Given the differences in incidence patterns of specific anxiety and other mental disorders, and the heterogeneity in the phenomenology within and across disorders, it is questionable whether the structure of psychopathology is stable across development and invariant against the inclusion of more diagnoses. From a developmental perspective it seems plausible that higher-order structure changes over time, particularly among youth. Krueger and colleagues76 found a good model fit for the 2-factor internalizing-externalizing solution in a young community sample at 2 time points which, however, were only 3 years apart (at ages 18 and 21 years). A similar type of exploration covering longer time frames and age groups is currently under way.79

Epidemiology clearly shows that anxiety disorders as early-onset conditions are risk factors for the development of depressive and other disorders occurring later in life. Thus, if one aims to derive a clinically more meaningful taxonomy of mental and anxiety disorders, the need to explore other concepts might arise. For example, one approach, taken from somatic illnesses, might be longitudinal “staging models.” Such models would allow one to describe the progression of mental disorders over time from less severe, pure conditions to more complex, severe comorbid stages and thus may have greater potential value for specifying the complexity of developmental patterns of mental disorders.39 From a clinical perspective, such a view might also facilitate the derivation of secondary prevention and staged intervention.

Prevalence and Onset

There is persuasive evidence from a range of studies that anxiety disorders are the most frequent mental disorders in children and adolescents, and thus seem to be the earliest of all forms of psychopathology. The onset of anxiety disorders (or symptoms/syndromes of anxiety) has been assessed in youth and adult samples, in cross-sectional and longitudinal surveys, most frequently by using the answers of the respondents to questions like “When was the first time you experienced…” (Fig. 1). Of note, such reports may be subject to recall bias,11 particularly in studies among older adults or in studies that retrospectively cover long time periods. As a consequence, reports of mean ages of onset are likely to be heavily influenced by the age range of the studied population (higher mean estimates in adult studies). Thus, age of onset distribution curves that cumulate recently assessed new cases across age (Fig. 2) are more informative and reliable with regard to actual onset patterns and core incidence periods (ie, high-risk phases for first onset of disorders).

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Assessing onset of anxiety disorders. The age of onset of anxiety disorders can be directly assessed by asking “When was the first time you experienced….” The retrospectively reported ages often reflect the syndrome, rather than disorder onset, and can be subject to recall bias. This fact is indirectly reflected by observations from longitudinal studies whereby different ages of onset are reported for the same condition at various assessment waves. Other sources of information on age of onset are prevalence estimates for disorders in aggregated age groups (mostly reported in cross-sectional studies). More reliably but also more rare, incidence reports from longitudinal studies (ie, the proportion of new cases in a defined time interval) provide insights into the disorder onset.

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Patterns of age of onset of anxiety disorders (EDSP; N = 3021). (Note: In phobias impairment was required among subjects aged 18 years or older; *Separation Anxiety Disorder was only assessed in a subsample at T1.)

Findings suggest that onset of the first or any anxiety disorder is clearly in childhood (eg, Refs.121314). Yet, leaving aside that some anxiety disorders might be preceded in their onset by other earlier comorbid anxiety disorders, there is some noteworthy heterogeneity between the specific anxiety disorders that reveals a temporal sequence of core risk periods for first onset of anxiety disorders in childhood and adolescence. In terms of validation these differences in age of onset provide one important indicator for separating different types of anxiety disorders.15 The earliest age of onset has been consistently found for separation anxiety disorder and some types of specific phobias (particularly the animal, blood injection injury, and environmental type), with most cases emerging in childhood before the age of 12 years,121617 followed by the onset of social phobia with incidences in late childhood and throughout adolescence, with very few cases emerging after the age of 25.121819 Panic disorder, agoraphobia, and GAD, in contrast, have their core periods for first onset in later adolescence with further first incidences in early adulthood,121420 despite the fact that some cases, especially with panic attacks, might occur as early as age 12 years or before.21 Particularly for GAD as defined by the 6-month duration criterion, new cases also emerge throughout middle and late adulthood.122022 It should be noted, however, that some doubts have been expressed about whether the 6-month duration criterion for GAD is appropriate in general2324 and useful in children and adolescents in particular.25 Indirect evidence for GAD of shorter duration comes from studies using the former diagnosis of overanxious disorder (OAD), for which considerably earlier onsets and higher prevalence rates have been found among children (Table 4). Although the lack of specific diagnostic continuity for OAD into adulthood26 might speak against the definition of GAD by using a shorter duration, an accordant change of diagnostic criteria of GAD for children in DSM-V is currently under investigation.

Table 4

Prevalence (%) of anxiety disorders in children, adolescents and young adults

Study (Country)ReferenceInstrumentNAgeSourceAny Anxiety
Disorder
Specific Phobia
Social Phobia
Agoraphobia
Panic Disorder
GAD/OAD
LifetimePeriodLifetimePeriodLifetimePeriodLifetimePeriodLifetimePeriodLifetimePeriod
DSM-III-R
DMHDS (New Zealand)McGee et al (1990)DISC94315P/C3.6c1.1c[5.9]c
Feehan et al (1994)DIS-m-R93017–19C6.1c11.1c4.0c0.8c1.8c
Newman et al (1996)DIS96121C8.4c9.7c3.8c0.6c1.9c
Kim-Cohen et al (2003)DIS96726C7.1 c10.7c3.9c5.5c

CHDS (New Zealand)Fergusson et al (1993)DISC-P98615P3.9c1.3c0.7c1.7 [0.6]c
DISC-C965C10.8c5.1 c1.7 c4.2 [2.1]a
Woodward &amp; Fergusson (2001)DIS96415–16P/C29.920.62.91.5d11.0 [4.7]

OADP (USA)Lewinsohn et al (1993)K-SADS171013–19 (T1)C8.82.01.40.70.8[1.3]
1 year FU (T2)C9.21.51.50.61.2[1.2]

Dutch-A (Netherlands)Verhulst et al (1997)DISC78013–18P16.5b9.2b6.3b1.9b0.3b0.7 [1.5]b
DISCC10.0b4.5b3.7b0.7b0.2b0.6 [1.8]b

ZESCAP (Switzerland)Steinhausen et al (1998)DISC3796–17P11.4b5.8b4.7 b1.9 b0.5 [2.1]b

QCMHS (Canada)Breton et al (1999)DISC24006–8C9.2b3.2b3.9b
P17.5b14.6b2.7b
9–11C5.8b1.3b3.8b
P14.6b12.6b2.9 b
12–14C12.2b10.2b1.7 b
P12.1b7.5b5.5 b

Quebec (Canada)Romano et al (2001)DISC120114–17C8.9b1.5b4.6b1.9 b1.1 [2.6]b
DISCP6.5b1.0b2.9b0.9 b0.8 [2.3]b
P/C14.0b2.5b6.9b2.8 b1.7 [4.5]b

WIC (USA)Keenan et al (1997)K-SADS1045C11.54.6[1.1]
DSM-IV

GSMS (USA)Bittner et al (2007)CAPA9069/11/13P/C16.1a0.6a1.5a2.5a3.1a5.8 [6.6]a
906<13P/C6.6a0.4a0.6a0.1a(0.2)a1.8 [1.7]a
906>13P/C10.6a0.2a1.0a2.4a(3.0)a4.0 [5.5]a

EDSP (Germany)Wittchen et al (1998); Wittchen, Stein &amp; Kessler (1999)CIDI302114–24C14.49.3c2.31.8c3.52.6c2.61.6c1.61.2c0.80.5c
Wittchen et al (1999)CIDI139514–17C21.314.5c17.110.9c3.72.9c2.82.1 c0.70.3c0.30.2c

BJS (Germany)Essau et al (1998); Essau et al (2000)CAPI103512–17C18.611.3c3.52.7c1.61.4c4.12.7c0.50.5c0.40.2c
38012–13C14.78.9c2.62.1c0.50.5c2.41.3c0.00.0c0.00.0c
35014–15C19.712.0c3.12.6c2.01.1c4.93.4c0.90.9c0.90.3c
30516–17C22.013.4c4.93.6c2.62.6c5.23.6c0.70.7c0.30.3c

CCCS (USA)Angold et al (2002)CAPA9209–170.4a1.4a0.5a1.2a

New Zealand Mental Health Survey (New Zealand)Wells et al (2006)CIDI12,99216+C14.8c7.3c5.1c0.6c1.7c2.0c
16–24C17.7c9.3c7.0c0.7c2.4c1.6c

IPRP-Study (Puerto Rico)Canino et al (2004)DISC18864–17P/C6.9c2.5c0.5c2.2c

Taiwan Epidemiological Study of Mental Disorders in Adolescents (Taiwan)Gau et al (2005)K-SADS-E1070Seventh gradeC9.2a5.0a3.4a0.2a0.2a0.7a
1051Eighth gradeC7.4a5.6a1.8a0.0a0.1a0.3a
1035Ninth gradeC3.1a0.7a2.0a0.0a0.0a0.4a

Note: References from this table are available from the corresponding author. GAD, generalized anxiety disorder; OAD, overanxious disorder; [ ] indicates overanxious disorder, () indicates panic attacks; P, parent report; C, child report.

Study abbreviations in alphabetical order: BJS, Bremer Jugendstudie (Bremen Adolescent Study); CCCS, Caring for Children in the Community Study; CHDS, Christchurch Health and Development Study; DMHDS, Dunedin Multidisciplinary Health and Development Study; Dutch-A, Dutch Adolescents; EDSP, Early Developmental Stages of Psychopathology; GSMS, Great Smoky Mountains Study; IPRP-Study, Island of Puerto Rico Prevalence Study; OADP, Oregon Adolescent Depression Project; QCMHS, Quebec Child Mental Health Survey; ZESCAP, Zurich Epidemiological Study of Child and Adolescent Psychopathology.

Abbreviations of diagnostic interviews: CAPA, Child and Adolescent Diagnostic Assessment; CAPI, Computer Assisted Psychiatric Interview (based on CIDI); CIDI, Composite International Diagnostic Interview; DICA, Diagnostic Interview for Children and Adolescents; DIS, Diagnostic Interview Schedule; DISC, Diagnostic Interview Schedule for Children; K-SADS, Schedule for Affective Disorders and Schizophrenia for School-age Children; SPIKE, Structured Psychopathological Interview and Rating of the Social Consequences for Epidemiology.

3-month.
6-month.
12-month.
Indicates agoraphobiapanic disorder.

Fig. 2 graphs for males and females the age of onset distribution of anxiety disorders assessed in a prospective-longitudinal community study (Early Developmental Stages of Psychopathology, EDSP) among adolescents and young adults up to age 34 years. No remarkable gender differences in onset patterns occur with 2 exceptions: compared with females, males exhibit a somewhat earlier onset of specific phobia of natural environmental type, and a later onset of GAD.

Prevalence estimates in aggregated age groups (see Fig. 1) also give some convergent, though crude indications for the early onset of a disorder. Prevalence estimates (Table 4) tend to further increase with age among children and adolescents for GAD, social phobia, panic disorder, and agoraphobia, which is not seen with the same magnitude in specific phobia or separation anxiety disorder. Confirming retrospective age of onset information, these data allow one to define “core periods of risk” for the first anxiety disorder onset in childhood for the latter conditions and in adolescence for the former conditions. Similar conclusions emerge from incidence estimates (proportions of new-onset cases between 2 assessment waves among those who were previously not affected) from prospective-longitudinal studies.1727

Frequency of Anxiety Disorders

Community prevalence estimates (see Table 4) vary slightly due to differences in the studied age groups, assessment instruments (eg, Composite International Diagnostic Interview [CIDI], Kiddie-Schedule for Affective Disorders and Schizophrenia for school-aged children [K-SADS]), information source (eg, self-report, parent/teacher report), method of data aggregation (from multiple information sources or multiple assessment waves), and the diagnostic systems used (ie, DSM-III-R, DSM-IV, ICD-10). In addition, data aggregation from various assessment waves in prospective-longitudinal studies, the number and type of diagnoses included in summary categories (eg, “any” anxiety disorder), and the strictness of application of criteria in generating diagnoses (eg, impairment required or not) are other sources for variance. Differences in prevalence estimates from different countries are unlikely reflective of true regional differences, although it should be noted that most epidemiological studies examine prevalence in Western, industrialized countries that may differ from developing countries or other cultures.

Despite notable variation in prevalence estimates that is likely due to method variance, the lifetime prevalence of “any anxiety disorder” in studies with children or adolescents is about 15% to 20%. In particular, it is noteworthy that the period prevalence estimates, for example 1-year or 6-month rates, are not considerably lower than lifetime estimates. This fact indirectly indicates that anxiety disorders exhibit a persisting course or that high rates of forgetting occur for remitted disorders. The most frequent disorders among children and adolescents are separation anxiety disorder (not included in Table 4), with estimates of 2.8% and 8%,282930 and specific and social phobias, with rates up to around 10% and 7%, respectively. Agoraphobia and panic disorder are low-prevalence conditions in childhood (1% or lower); higher prevalences are found in adolescence (2%–3% for panic and 3%–4% for agoraphobia). Of note, considerable controversy surrounds the diagnosis of agoraphobia. Whereas some epidemiological studies find high rates of agoraphobia without evidence of panic attacks, some suggest that this finding reflects diagnostic inaccuracy in epidemiological studies.31 This issue generally has not been addressed with the same level of rigor in studies of children and adolescents, compared with studies in adults. However, recent findings from the EDSP study among adolescents and young adults suggest that agoraphobia exists as a clinically significant phobic condition independent of panic.21

As mentioned before, it is more difficult to provide precise prevalence estimates of GAD in children and adolescents, because this diagnosis only has been applied to youth in DSM-IV, published in 1994.2 Before 1994, children presenting with worries about multiple events, who typically would receive the DSM-IV diagnosis of GAD, were given the diagnosis of OAD but not GAD. When OAD was subsumed under the diagnosis of GAD in DSM-IV, different criteria were applied to children with multiple worries in DSM-IV, relative to earlier nosologies. This situation complicates attempts to compare earlier to later studies but may explain the lower prevalence rates for GAD than for OAD. Thus, a proportion of children and adolescents who were diagnosed with OAD in the past seem to remain undiagnosed based on current GAD criteria. Similarly, GAD criteria may also identify some children and adolescents who would not meet DSM-III-R criteria for OAD. Data from the EDSP study revealed a cumulative incidence for GAD of 4.3% at age 34 years with relatively few onsets observed in childhood, and the core incidence period being in adolescence and young adulthood.14

In terms of sex differences, all anxiety disorders more frequently occur among females than among males. Although sex differences may occur as early as childhood they increase with age,32 reaching ratios of 2:1 to 3:1 in adolescence (eg, Refs.2833). Fig. 3 depicts the cumulative incidence for anxiety disorders among females and males as assessed in the EDSP study. Unlike for panic attacks (compare Ref.21), the sex difference in panic disorder is apparent in cases before the age of 14 but increases further between the ages of 14 and 25 years. The incidence curve for panic disorder reveals a very clear-cut period of increased incidence in females between the ages of 13 and 26 years, whereas males display lower estimates and the period of increased incidence is less pronounced. Agoraphobia revealed a strong and steady incidence increase for females after the age of 6, whereas agoraphobia in males was observed less frequently, with some indication of increased incidence between the ages of 15 and 20 and a leveling off after the age of 25 years. In contrast, a clear sex difference in prevalence was already seen in childhood in the specific phobia animal type (ratio 3:1 by age 10 years).

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Cumulative Incidence of anxiety disorders (EDSP; N=3021). (Note: Percentages in the legends refer to the estimated cumulative incidence rate at age 33, *age 19 for Separation Anxiety Disorder which was only assessed in a subsample at T1; in phobias impairment was required among subjects aged 18 years or older.)

The choice of appropriate categorical diagnostic thresholds remains a critical issue, giving rise to the consideration of dimensional measures replacing the up to now problematic diagnostic “cutoffs.”34 There is little doubt that the nature of psychopathology is more appropriately conceptualized by dimensional measures and that there is no evidence for a natural point of rarity for most disorders, including anxiety disorders and core anxiety features. In this respect the DSM-IV clinical significance criterion—requiring distress or impairment in social or role functioning—which was introduced to decrease the false-positive problem in psychiatric diagnosis, is particularly problematic.35 Prevalence rates would markedly increase when the clinical significance criterion threshold simply is lowered or omitted (eg, Ref.36). In DSM, such subjects with “subclinical anxiety” would then be classified under “Other Conditions That May Be a Focus of Clinical Attention.” As for adults, there is considerable evidence that children and adolescents not meeting the DSM defined clinical significance threshold might still reveal a similar range of adverse correlates as those meeting the threshold (eg, Ref.33). Critical questions therefore are “how can clinical significance or dysfunction be ideally defined” and “what constitutes clinical significance in children versus adolescents versus adults?” Another related concern is that any solution for the distress or impairment criterion that would be applied to anxiety disorders should ideally also be applied to other mental disorders for the reason of consistency.

Similarly, other critical issues relate to symptomatic thresholds required for diagnosis, ie, symptom number, intensity, severity, and temporal thresholds such as duration, persistence, and the clustering of symptoms and criteria in a given time frame.37 Despite given clinical significance (ie, distress or impairment), such conditions would be classified under the nonspecific residual category “Anxiety Disorder Not Otherwise Specified.” With few exceptions, criteria for children resemble those for adults. Particularly for diagnosis with high symptomatic threshold criteria, it may be clinically relevant to lower the threshold for children (eg, shorter duration requirement, fewer symptoms), to detect affected children early and to provide adequate and focused interventions. Such critical issues have raised significant concerns toward the DSM-V as to whether dimensional and developmental aspects should be specified to provide more clinically relevant information to facilitate diagnosis and treatment.3435373839

A graphical presentation of the criteria threshold problem is shown in Fig. 4. For each of the anxiety diagnoses, DSM-IV provides a specified diagnostic criteria set including symptom count, time/persistence, and clinical significance requirements reflecting the threshold for diagnosis. Falling short of just one criterion leads to nondiagnosis (or nonspecific classification such as “Anxiety Disorder Not Otherwise Specified” or “Other Conditions That May Be a Focus of Clinical Attention”) despite the presence of significant specific anxiety Fig. 4A). Thus, the inclusion pathology ( of dimensional facets in diagnostic systems may facilitate diagnosis and treatment, but it my also complicate the assessment (ie, by use of rating scales or questionnaires, or by the need to develop such scales). Clinicians should also keep in mind that the time point and time frame of assessment may be crucial for diagnosis and diagnostic decisions; aspects also essential for interpreting the epidemiological data adequately. Thus, a lifetime diagnostic approach that describes all psychopathological phenomena in a person up to the age of assessment might yield very different diagnostic data than a cross-sectional approach that covers, for example, a 4-week or a 12-month time frame (compare Fig. 4B); for some diagnoses (like panic/agoraphobia within the anxiety spectrum or bipolar disorders in the mood disorders) a lifetime approach is essential. Variation in assessment might also affect the rates of “subclinical” or “subsyndromal/subthreshold” conditions, simply because a cross-sectional subthreshold condition may have been threshold at a previous point in time, thus more appropriately labeled as partially remitted.

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The threshold problem in diagnosing children and adolescent. Diagnostic criteria define thresholds for diagnoses by specifying type and number of symptoms, the duration and persistence that the symptoms need to be present, and the clinical significance (A). Due to the current categorical classification system, being short of just one criterion (eg, only 2 instead of 3 symptoms, only 5 months’ instead of 6 months’ duration, only 3 instead of 4 days a week, all symptom criteria met but no distress or impairment reported) leads to non-diagnosis (or nonspecific classification as “Anxiety Disorder Not Otherwise Specified” or “Other Conditions That May Be a Focus of Clinical Attention”). The variation of symptoms over time and difficulties in retrospective assessment may negatively affect correct diagnosis. Therefore it is also crucial to take a lifetime approach to diagnosis (B). Mere cross-sectional assessment may lead to erroneous nondiagnosis based on transient alleviation of symptoms.

Natural Course and Longitudinal Outcome

Knowledge on the natural course of anxiety disorders after their first onset is increasing, although several methodological challenges exist. Biases of various sorts are inherent in studies based on clinical samples or in studies using retrospective information on course. Such methods may lead to overestimations of the degree to which anxiety disorders typically seem chronic. Hence, longitudinal studies have clear advantages, particularly when they are based on representative community samples assessed throughout the core high-risk period of first onset and subsequent potential periods of chronic illness. As such, these types of studies represent the method of first choice to study the natural course of anxiety disorders (Fig. 5). Although such studies are costly and time consuming, several studies among youth have become available (Table 5).

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Assessing the course of anxiety disorders. Several approaches exist to study the course of anxiety disorders. Cross-sectional studies most frequently use retrospective age of onset and age of recency reports to calculate the duration of a condition in years. This approach assumes a continuous disorder course, and may thus overestimate the duration and chronicity because symptom-free intervals are not taken into account. Another indirect measure of disorder chronicity is the proportion of point to lifetime prevalence. The higher the proportion, the higher the chronicity. Because only categorical diagnoses are considered here (no symptomatic improvements below the diagnostic threshold), this may lead to underestimation of chronicity. Overall, cross-sectional studies allow for only crude estimations of course and chronicity of anxiety disorders. Longitudinal studies, in contrast, allow for a more realistic description of the course of a disorder. Taking a prospective approach, the proportion of individuals meeting or not meeting the criteria again at follow-up is frequently used to describe stability and remission. Considering only the full DSM-IV diagnostic level, higher remission rates are possible because improvements below the diagnostic threshold are not taken into account. Thus, the most valid way to describe the course of anxiety disorders is to consider also subthreshold or subsyndromal conditions.

Table 5

Course of anxiety disorders from childhood and early adolescence to late adolescence and adulthood (follow-up and follow-back studies)

Disorder of InterestStudy CharacteristicsOutcome
ReferenceStudy (Country)NAge at BaselineFU Duration in YearsSame DisorderOther Anxiety DisorderDepressive DisorderOther Disorders
Social phobia
Stein et al (2001)EDSP (Germany)254814–245xxx
Merikangas et al (2002)Zurich study (Switzerland)59118–1915xxx
Essau, Conradt &amp; Peterman (2002)BJS (Germany)103512–171.3x
Pine et al (1998)NYCLS (USA)7769–189xx
Last et al (1996)(USA)2475–1834xxn.e.
Hale et al (2008)CONAMORE (Netherlands)131812–165xn.e.n.e.
Gregory et al (2007)DMHDS (New Zealand)10371121xxn.e.
Bittner et al (2007)GSMS (USA)9069/11/136–10mADHD (m)
GAD/OAD
Gregory et al (2007)DMHDS (New Zealand)10371121xxn.e.
Pine et al (1998)NYCLS (USA)7769–189xxx
Bittner et al (2004)EDSP (Germany)254814–245n.en.ex
Bittner et al (2007)GSMS(USA)9069/11/136–10 OAD:ffCD (m)
6–10 GAD:fSubstance use disorders (f)
Hale et al (2008)CONAMORE (Netherlands)131812–165fn.e.n.e.
Separation anxiety disorder
Foley et al (2004)(USA)161 twins8–171.5xxCD, ADHD, ODD
Hale et al (2008)CONAMORE (Netherlands)131812–165n.e.n.e.
Bittner et al (2007)GSMS (USA)9069/11/136–10ff
Bruckl et al (2007)EDSP (Germany)109014–244n.e.xBipolar disorders, pain disorders, alcohol dependence
Pine et al (1998)NYCLS (USA)7769–189n.e.
Agoraphobia
Gregory et al (2007)DMHDS (New Zealand)10371121xxn.e.
Specific phobias
Gregory et al (2007)DMHDS (New Zealand)10371121xxn.e.
Pine et al (1998)NYCLS (USA)7769–189x
Panic disorder
Gregory et al (2007)DMHDS (New Zealand)10371121xxn.e.
Hale et al (2008)CONAMORE (Netherlands)131812–165n.e.n.e.
Any anxiety disorder
Last et al (1996)(USA)1025–184xxxBehavioral disorders
Clark et al (2007)1958 British birth cohort9727birth45n.e.n.e.n.e.Internalizing and externalizing disorders
Woodward &amp; Fergusson (2001)CHDS (New Zealand)96414–1621xxSubstance use disorders
Kim-Cohen et al (2003)DMHDS (New Zealand)1037birth26xxx
Feng et al (2008)WIC (USA)290 (boys only)7–17 months8xxx
Lewinsohn et al (1997)OADP (USA)150713–191n.e.xxExternalizing disorders (substance use, disruptive behaviors)

Note: References from this table are available from the corresponding author. No associations found. x, positive associations irrespective of gender; f, positive associations only in females; m: positive associations only in males; n.e., not estimated; CD, conduct disorder, ADHD, attention-deficit/hyperactivity disorder; ODD, oppositional defiant disorder.

Study abbreviations: CHDS, Christchurch Health and Development Study; CONAMORE, Conflict and Management of Relationships; DMHDS, Dunedin Multidisciplinary Health and Development Study; EDSP, Early Developmental Stages of Psychopathology; GSMS, Great Smokey Mountain Study; NYCLS, New York Child Longitudinal Study; OADP, Oregon Adolescent Depression Project; WIC, Women Infants Children Program (Pittsburgh).

Anxiety disorders seem to take a chronic course based on findings from clinical adult populations (eg, Refs.4041) or retrospective studies (eg, Refs.4243). Prospective epidemiologic follow-up studies among youth from the community only partially support these observations. Thus, on one hand, this work does show that individuals diagnosed with an anxiety disorder, compared with those without, are at statistically increased risk to have the same disorder (eg, Refs.2628; compare Table 5) or signs and symptoms of the same disorder254445 at later points in time (“homotypic continuity”). Moreover, follow-back analyses also reveal that those with anxiety disorders in adulthood frequently had the same problems earlier in life (eg, Ref.46).

Nevertheless, despite significant longitudinal associations, stability rates (in the form of proportions) of anxiety disorders among youth from the community are overall only low to moderate. For example, in the 15-year prospective multiwave Zurich Cohort study47 a low stability (4%) was found for pure anxiety disorder, defined as GAD or panic disorder. For social phobia no individual met diagnostic criteria continuously at each follow-up assessment, after the disorder had manifested.48 In the prospective-longitudinal EDSP study, in adolescents aged 14 to 17 at baseline the probability of a positive outcome at 2-year follow-up decreased as a function of severity of baseline anxiety diagnostic status.45 However, only 19.7% of threshold baseline anxiety cases met threshold anxiety criteria again at follow-up. For the specific diagnoses, considerable variability in outcome was revealed. Taking stable threshold and subthreshold diagnoses at baseline and at follow-up, panic disorder (44%) and specific phobia (30.1%) were found to be most stable, but even here more than 50% of cases were not completely stable. Other disorders showed higher rates of instability, with agoraphobia (13.4%) and social phobia (15.8%) being particularly unstable. Similar trends emerge from clinical studies with youth as well as in an additional series of epidemiological studies (see for review Ref.49). For example, Last and colleagues1350 found among children and adolescents (aged 5–19 years) with anxiety disorders that over the 3- to 4-year follow-up, 80% had remitted from the anxiety shown initially. Thus overall, among children and adolescents with an anxiety disorder, there is a considerable degree of fluctuation in diagnostic status of the specific anxiety disorder examined; anxiety disorders have a strong tendency to naturally wax and wane over time, particularly in young age groups.45 It is particularly remarkable that even in disorders that are defined as being chronic, such as GAD, prospective stability rates are only moderate.51

Given the limited homotypic continuity observed in prospective-longitudinal community studies among youth, the question arises as to whether children and adolescents whose specific anxiety disorder seems to improve or remit are completely healthy in their further course of life. The answer is that this is clearly not the case. For example, in the EDSP only 10% of children and adolescents with specific phobias at baseline had no mental disorder at 10-year follow-up (full diagnostic remission); 41% reported the same disorder (strict homotypic continuity) and overall, 73% were diagnosed with any anxiety or depressive disorder at subsequent assessments (heterotypic continuity).52 Similarly, only 13% of baseline social phobia cases were free of any diagnosis during the 10-year follow-up; 35% and 64% reported the same disorder and any anxiety/depression respectively. For GAD and PTSD, even all baseline cases revealed either homotypic or heterotypic continuity. Similar findings emerge from other multiwave, prospective-longitudinal studies.13284753 Thus, even if for many anxiety cases strict homotypic continuity is moderate, there is a substantial degree of continuity of psychopathology as indicated by the later presence of other anxiety disorders (broad homotypic continuity) or other disorders (heterotypic continuity).

In children and adolescents, there is considerable interanxiety (homotypic) comorbidity with significant association between virtually all specific anxiety disorders, including specific phobia subtypes.54 The number of “pure” anxiety cases decreases with age in favor of patterns with multiple anxiety disorders by late adolescence or early adulthood. The “load” of anxiety seems to contribute to the development of secondary psychopathological complications. For example, Woodward and Fergusson55 examined life course outcomes of adolescents with anxiety disorders in a 21-year longitudinal study of a birth cohort of 1265 New Zealand children (CHDS). There were significant associations between the number of anxiety disorders reported in adolescence and later risks of anxiety disorder, major depression, substance dependence, and suicidal behavior. In this study, a higher number of anxiety disorders was also associated with other adverse developmental outcomes such as educational underachievement and early parenthood.

The development of secondary depression seems to be a particularly frequent and concerning heterotypic outcome of anxiety disorders. Is this a characteristic of anxiety in general rather than an issue of specific anxiety disorders or anxiety features (such as panic, avoidance, accumulation of risk factors)? Or is this related to an overarching anxiety or anxiety-depression liability, possibly through shared etiopathogenetic mechanisms (eg, neurobiology)? Cross-sectional and longitudinal studies examined the association between anxiety disorders and depressive disorders1455565758 and concluded that anxiety disorders in general, and also specific types of anxiety disorders (such as phobias, GAD, panic disorder, and so forth) consequently increase the risk for developing a secondary depressive disorder. For example, prospective epidemiological studies found that children and adolescents with specific fears and phobias (especially fear of darkness),59 social phobia,186061 or other types of anxiety disorders (agoraphobia, panic disorder, GAD)1461 have an increased risk of developing a subsequent depressive disorder. This increased risk for secondary depression seems to be independent of age of onset of anxiety.18 It could further be shown that certain clinical characteristics of anxiety disorders are associated with secondary depression risk. Onset of depression is more likely in individuals with a higher number of anxiety disorders, a more severe impairment of anxiety disorders, and when panic attacks co-occur.1861 Panic attacks among youth have also been shown to be a significant predictor for a wide range of mental disorders and severe psychopathology, particularly as indicated by the incidence of multiple anxiety disorders and substance use disorders.62

Besides depression, substance abuse or dependence (alcohol or drugs and medication) is a frequently occurring heterotypic problem among subjects with anxiety disorders.576364 It has been suggested that substance use is motivated as a possibility to deal with anxiety symptoms, leading to substance-related problems and disorders over the long term.65 The onset of anxiety disorders precedes that of alcohol and drug disorders at nearly all levels of severity of substance use disorders (use, problems, dependence). Anxiety disorders have been shown to be significant predictors of the subsequent first onset of substance use disorders in cross-sectional and longitudinal analyses.656667 Although substance use disorders are typically associated with so-called externalizing disorders, such as conduct disorder, attention deficit hyperactivity disorder, or antisocial personality disorder (eg, Ref.68), there is also a strong and significant association with “internalizing” disorders, including anxiety disorders.69 This potentially important pathway has recently been overlooked. Previous research suggests the existence of a second, though less frequent, pathway to substance use disorders originating in early anxiety disorders.70

Higher-Order Psychopathological Factors and Metastructure

The frequent observation of comorbidity even in community-based samples has prompted factor analytical studies of higher-order structures of psychopathology. A 2- to 3-factor solution has been repeatedly found when using a limited group of anxiety, depressive, substance use, and antisocial behavior diagnoses.717273747576 Anxiety and depressive disorders were consistently loading on an “internalizing” factor that moderately correlates with an “externalizing” factor reflecting substance use and antisocial disorders. The available adult studies frequently revealed 2 additional subfactors for internalizing, namely “fear” (which includes most anxiety disorders) and “anxious-misery” (which includes depressive disorders, but also GAD and PTSD).7172737475 Among youth, this 3-factor structure has so far been replicated using only the EDSP sample.77

The finding that all types of anxiety disorders accompany depression is clinically somehow counterintuitive, and therefore several critical concerns have been expressed (see article by Wittchen and colleagues78 in this issue). Given the differences in incidence patterns of specific anxiety and other mental disorders, and the heterogeneity in the phenomenology within and across disorders, it is questionable whether the structure of psychopathology is stable across development and invariant against the inclusion of more diagnoses. From a developmental perspective it seems plausible that higher-order structure changes over time, particularly among youth. Krueger and colleagues76 found a good model fit for the 2-factor internalizing-externalizing solution in a young community sample at 2 time points which, however, were only 3 years apart (at ages 18 and 21 years). A similar type of exploration covering longer time frames and age groups is currently under way.79

Epidemiology clearly shows that anxiety disorders as early-onset conditions are risk factors for the development of depressive and other disorders occurring later in life. Thus, if one aims to derive a clinically more meaningful taxonomy of mental and anxiety disorders, the need to explore other concepts might arise. For example, one approach, taken from somatic illnesses, might be longitudinal “staging models.” Such models would allow one to describe the progression of mental disorders over time from less severe, pure conditions to more complex, severe comorbid stages and thus may have greater potential value for specifying the complexity of developmental patterns of mental disorders.39 From a clinical perspective, such a view might also facilitate the derivation of secondary prevention and staged intervention.

Natural Course and Longitudinal Outcome

Knowledge on the natural course of anxiety disorders after their first onset is increasing, although several methodological challenges exist. Biases of various sorts are inherent in studies based on clinical samples or in studies using retrospective information on course. Such methods may lead to overestimations of the degree to which anxiety disorders typically seem chronic. Hence, longitudinal studies have clear advantages, particularly when they are based on representative community samples assessed throughout the core high-risk period of first onset and subsequent potential periods of chronic illness. As such, these types of studies represent the method of first choice to study the natural course of anxiety disorders (Fig. 5). Although such studies are costly and time consuming, several studies among youth have become available (Table 5).

An external file that holds a picture, illustration, etc.
Object name is nihms258242f5.jpg

Assessing the course of anxiety disorders. Several approaches exist to study the course of anxiety disorders. Cross-sectional studies most frequently use retrospective age of onset and age of recency reports to calculate the duration of a condition in years. This approach assumes a continuous disorder course, and may thus overestimate the duration and chronicity because symptom-free intervals are not taken into account. Another indirect measure of disorder chronicity is the proportion of point to lifetime prevalence. The higher the proportion, the higher the chronicity. Because only categorical diagnoses are considered here (no symptomatic improvements below the diagnostic threshold), this may lead to underestimation of chronicity. Overall, cross-sectional studies allow for only crude estimations of course and chronicity of anxiety disorders. Longitudinal studies, in contrast, allow for a more realistic description of the course of a disorder. Taking a prospective approach, the proportion of individuals meeting or not meeting the criteria again at follow-up is frequently used to describe stability and remission. Considering only the full DSM-IV diagnostic level, higher remission rates are possible because improvements below the diagnostic threshold are not taken into account. Thus, the most valid way to describe the course of anxiety disorders is to consider also subthreshold or subsyndromal conditions.

Table 5

Course of anxiety disorders from childhood and early adolescence to late adolescence and adulthood (follow-up and follow-back studies)

Disorder of InterestStudy CharacteristicsOutcome
ReferenceStudy (Country)NAge at BaselineFU Duration in YearsSame DisorderOther Anxiety DisorderDepressive DisorderOther Disorders
Social phobia
Stein et al (2001)EDSP (Germany)254814–245xxx
Merikangas et al (2002)Zurich study (Switzerland)59118–1915xxx
Essau, Conradt &amp; Peterman (2002)BJS (Germany)103512–171.3x
Pine et al (1998)NYCLS (USA)7769–189xx
Last et al (1996)(USA)2475–1834xxn.e.
Hale et al (2008)CONAMORE (Netherlands)131812–165xn.e.n.e.
Gregory et al (2007)DMHDS (New Zealand)10371121xxn.e.
Bittner et al (2007)GSMS (USA)9069/11/136–10mADHD (m)
GAD/OAD
Gregory et al (2007)DMHDS (New Zealand)10371121xxn.e.
Pine et al (1998)NYCLS (USA)7769–189xxx
Bittner et al (2004)EDSP (Germany)254814–245n.en.ex
Bittner et al (2007)GSMS(USA)9069/11/136–10 OAD:ffCD (m)
6–10 GAD:fSubstance use disorders (f)
Hale et al (2008)CONAMORE (Netherlands)131812–165fn.e.n.e.
Separation anxiety disorder
Foley et al (2004)(USA)161 twins8–171.5xxCD, ADHD, ODD
Hale et al (2008)CONAMORE (Netherlands)131812–165n.e.n.e.
Bittner et al (2007)GSMS (USA)9069/11/136–10ff
Bruckl et al (2007)EDSP (Germany)109014–244n.e.xBipolar disorders, pain disorders, alcohol dependence
Pine et al (1998)NYCLS (USA)7769–189n.e.
Agoraphobia
Gregory et al (2007)DMHDS (New Zealand)10371121xxn.e.
Specific phobias
Gregory et al (2007)DMHDS (New Zealand)10371121xxn.e.
Pine et al (1998)NYCLS (USA)7769–189x
Panic disorder
Gregory et al (2007)DMHDS (New Zealand)10371121xxn.e.
Hale et al (2008)CONAMORE (Netherlands)131812–165n.e.n.e.
Any anxiety disorder
Last et al (1996)(USA)1025–184xxxBehavioral disorders
Clark et al (2007)1958 British birth cohort9727birth45n.e.n.e.n.e.Internalizing and externalizing disorders
Woodward &amp; Fergusson (2001)CHDS (New Zealand)96414–1621xxSubstance use disorders
Kim-Cohen et al (2003)DMHDS (New Zealand)1037birth26xxx
Feng et al (2008)WIC (USA)290 (boys only)7–17 months8xxx
Lewinsohn et al (1997)OADP (USA)150713–191n.e.xxExternalizing disorders (substance use, disruptive behaviors)

Note: References from this table are available from the corresponding author. No associations found. x, positive associations irrespective of gender; f, positive associations only in females; m: positive associations only in males; n.e., not estimated; CD, conduct disorder, ADHD, attention-deficit/hyperactivity disorder; ODD, oppositional defiant disorder.

Study abbreviations: CHDS, Christchurch Health and Development Study; CONAMORE, Conflict and Management of Relationships; DMHDS, Dunedin Multidisciplinary Health and Development Study; EDSP, Early Developmental Stages of Psychopathology; GSMS, Great Smokey Mountain Study; NYCLS, New York Child Longitudinal Study; OADP, Oregon Adolescent Depression Project; WIC, Women Infants Children Program (Pittsburgh).

Anxiety disorders seem to take a chronic course based on findings from clinical adult populations (eg, Refs.4041) or retrospective studies (eg, Refs.4243). Prospective epidemiologic follow-up studies among youth from the community only partially support these observations. Thus, on one hand, this work does show that individuals diagnosed with an anxiety disorder, compared with those without, are at statistically increased risk to have the same disorder (eg, Refs.2628; compare Table 5) or signs and symptoms of the same disorder254445 at later points in time (“homotypic continuity”). Moreover, follow-back analyses also reveal that those with anxiety disorders in adulthood frequently had the same problems earlier in life (eg, Ref.46).

Nevertheless, despite significant longitudinal associations, stability rates (in the form of proportions) of anxiety disorders among youth from the community are overall only low to moderate. For example, in the 15-year prospective multiwave Zurich Cohort study47 a low stability (4%) was found for pure anxiety disorder, defined as GAD or panic disorder. For social phobia no individual met diagnostic criteria continuously at each follow-up assessment, after the disorder had manifested.48 In the prospective-longitudinal EDSP study, in adolescents aged 14 to 17 at baseline the probability of a positive outcome at 2-year follow-up decreased as a function of severity of baseline anxiety diagnostic status.45 However, only 19.7% of threshold baseline anxiety cases met threshold anxiety criteria again at follow-up. For the specific diagnoses, considerable variability in outcome was revealed. Taking stable threshold and subthreshold diagnoses at baseline and at follow-up, panic disorder (44%) and specific phobia (30.1%) were found to be most stable, but even here more than 50% of cases were not completely stable. Other disorders showed higher rates of instability, with agoraphobia (13.4%) and social phobia (15.8%) being particularly unstable. Similar trends emerge from clinical studies with youth as well as in an additional series of epidemiological studies (see for review Ref.49). For example, Last and colleagues1350 found among children and adolescents (aged 5–19 years) with anxiety disorders that over the 3- to 4-year follow-up, 80% had remitted from the anxiety shown initially. Thus overall, among children and adolescents with an anxiety disorder, there is a considerable degree of fluctuation in diagnostic status of the specific anxiety disorder examined; anxiety disorders have a strong tendency to naturally wax and wane over time, particularly in young age groups.45 It is particularly remarkable that even in disorders that are defined as being chronic, such as GAD, prospective stability rates are only moderate.51

Given the limited homotypic continuity observed in prospective-longitudinal community studies among youth, the question arises as to whether children and adolescents whose specific anxiety disorder seems to improve or remit are completely healthy in their further course of life. The answer is that this is clearly not the case. For example, in the EDSP only 10% of children and adolescents with specific phobias at baseline had no mental disorder at 10-year follow-up (full diagnostic remission); 41% reported the same disorder (strict homotypic continuity) and overall, 73% were diagnosed with any anxiety or depressive disorder at subsequent assessments (heterotypic continuity).52 Similarly, only 13% of baseline social phobia cases were free of any diagnosis during the 10-year follow-up; 35% and 64% reported the same disorder and any anxiety/depression respectively. For GAD and PTSD, even all baseline cases revealed either homotypic or heterotypic continuity. Similar findings emerge from other multiwave, prospective-longitudinal studies.13284753 Thus, even if for many anxiety cases strict homotypic continuity is moderate, there is a substantial degree of continuity of psychopathology as indicated by the later presence of other anxiety disorders (broad homotypic continuity) or other disorders (heterotypic continuity).

In children and adolescents, there is considerable interanxiety (homotypic) comorbidity with significant association between virtually all specific anxiety disorders, including specific phobia subtypes.54 The number of “pure” anxiety cases decreases with age in favor of patterns with multiple anxiety disorders by late adolescence or early adulthood. The “load” of anxiety seems to contribute to the development of secondary psychopathological complications. For example, Woodward and Fergusson55 examined life course outcomes of adolescents with anxiety disorders in a 21-year longitudinal study of a birth cohort of 1265 New Zealand children (CHDS). There were significant associations between the number of anxiety disorders reported in adolescence and later risks of anxiety disorder, major depression, substance dependence, and suicidal behavior. In this study, a higher number of anxiety disorders was also associated with other adverse developmental outcomes such as educational underachievement and early parenthood.

The development of secondary depression seems to be a particularly frequent and concerning heterotypic outcome of anxiety disorders. Is this a characteristic of anxiety in general rather than an issue of specific anxiety disorders or anxiety features (such as panic, avoidance, accumulation of risk factors)? Or is this related to an overarching anxiety or anxiety-depression liability, possibly through shared etiopathogenetic mechanisms (eg, neurobiology)? Cross-sectional and longitudinal studies examined the association between anxiety disorders and depressive disorders1455565758 and concluded that anxiety disorders in general, and also specific types of anxiety disorders (such as phobias, GAD, panic disorder, and so forth) consequently increase the risk for developing a secondary depressive disorder. For example, prospective epidemiological studies found that children and adolescents with specific fears and phobias (especially fear of darkness),59 social phobia,186061 or other types of anxiety disorders (agoraphobia, panic disorder, GAD)1461 have an increased risk of developing a subsequent depressive disorder. This increased risk for secondary depression seems to be independent of age of onset of anxiety.18 It could further be shown that certain clinical characteristics of anxiety disorders are associated with secondary depression risk. Onset of depression is more likely in individuals with a higher number of anxiety disorders, a more severe impairment of anxiety disorders, and when panic attacks co-occur.1861 Panic attacks among youth have also been shown to be a significant predictor for a wide range of mental disorders and severe psychopathology, particularly as indicated by the incidence of multiple anxiety disorders and substance use disorders.62

Besides depression, substance abuse or dependence (alcohol or drugs and medication) is a frequently occurring heterotypic problem among subjects with anxiety disorders.576364 It has been suggested that substance use is motivated as a possibility to deal with anxiety symptoms, leading to substance-related problems and disorders over the long term.65 The onset of anxiety disorders precedes that of alcohol and drug disorders at nearly all levels of severity of substance use disorders (use, problems, dependence). Anxiety disorders have been shown to be significant predictors of the subsequent first onset of substance use disorders in cross-sectional and longitudinal analyses.656667 Although substance use disorders are typically associated with so-called externalizing disorders, such as conduct disorder, attention deficit hyperactivity disorder, or antisocial personality disorder (eg, Ref.68), there is also a strong and significant association with “internalizing” disorders, including anxiety disorders.69 This potentially important pathway has recently been overlooked. Previous research suggests the existence of a second, though less frequent, pathway to substance use disorders originating in early anxiety disorders.70

Higher-Order Psychopathological Factors and Metastructure

The frequent observation of comorbidity even in community-based samples has prompted factor analytical studies of higher-order structures of psychopathology. A 2- to 3-factor solution has been repeatedly found when using a limited group of anxiety, depressive, substance use, and antisocial behavior diagnoses.717273747576 Anxiety and depressive disorders were consistently loading on an “internalizing” factor that moderately correlates with an “externalizing” factor reflecting substance use and antisocial disorders. The available adult studies frequently revealed 2 additional subfactors for internalizing, namely “fear” (which includes most anxiety disorders) and “anxious-misery” (which includes depressive disorders, but also GAD and PTSD).7172737475 Among youth, this 3-factor structure has so far been replicated using only the EDSP sample.77

The finding that all types of anxiety disorders accompany depression is clinically somehow counterintuitive, and therefore several critical concerns have been expressed (see article by Wittchen and colleagues78 in this issue). Given the differences in incidence patterns of specific anxiety and other mental disorders, and the heterogeneity in the phenomenology within and across disorders, it is questionable whether the structure of psychopathology is stable across development and invariant against the inclusion of more diagnoses. From a developmental perspective it seems plausible that higher-order structure changes over time, particularly among youth. Krueger and colleagues76 found a good model fit for the 2-factor internalizing-externalizing solution in a young community sample at 2 time points which, however, were only 3 years apart (at ages 18 and 21 years). A similar type of exploration covering longer time frames and age groups is currently under way.79

Epidemiology clearly shows that anxiety disorders as early-onset conditions are risk factors for the development of depressive and other disorders occurring later in life. Thus, if one aims to derive a clinically more meaningful taxonomy of mental and anxiety disorders, the need to explore other concepts might arise. For example, one approach, taken from somatic illnesses, might be longitudinal “staging models.” Such models would allow one to describe the progression of mental disorders over time from less severe, pure conditions to more complex, severe comorbid stages and thus may have greater potential value for specifying the complexity of developmental patterns of mental disorders.39 From a clinical perspective, such a view might also facilitate the derivation of secondary prevention and staged intervention.

CORRELATES AND RISK FACTORS FOR ANXIETY DISORDERS

Many variables are considered to be risk factors for anxiety disorders. Attempts to definitively demonstrate that the many correlates of anxiety are, in reality, risk factors face considerable methodological hurdles, because it must be demonstrated that the risk factor is actually present before the onset of the anxiety disorder,80 and ideally that the probability of onset of a disorder is related to the severity, frequency, or duration of the risk factor. Thus, cross-sectional studies merely allow generation of initial hypotheses about potential risk factors, based on demonstrations of associations between anxiety disorders and a range of potential variables, such as demographic, neurobiologic, family-genetic, personality, or environmental factors; prospective-longitudinal studies are necessary to show that a factor increases the risk for the onset of an anxiety disorder. This problem, of course, does not apply to factors that are present at birth, such as sex or genotype information. Therefore, in the following sections the authors differentiate between evidence for correlates and risk factors for anxiety disorders. Aspects of specificity of these factors for specific anxiety disorders and for anxiety versus depressive disorders are also considered. The focus is primarily on epidemiological studies among youth, as clinical samples may be subject to various biases related to ascertainment;81 however, such studies are included if no other evidence is available. Findings from epidemiological studies among adults are also included if these allow for the assumption that the variables had an impact in childhood or adolescence.

Demographic Variables

Sex

Female sex consistently emerges as a risk factor for the development of anxiety disorders. Females are about twice as likely as males to develop each of the anxiety disorders (eg, Refs.283382). Sex differences in prevalence, if any, are small in childhood but they increase with age.32

Education

Most epidemiological studies find higher rates of anxiety disorders among subjects with lower education in comparison with subjects with a higher education (eg, Ref.33). It remains unclear to which degree the lower educational performance is a predictor, correlate, or consequence of anxiety. Two adult studies found associations for anxiety but not for depressive disorders.8384

Financial situation

With few exceptions,8586 studies consistently find associations between low household income or unsatisfactory financial situations and anxiety disorders (eg, Ref.33). However, results from a quasi-experimental study suggest that these associations may not emerge through a risk factor-disorder association; other more complex relationships may explain the associations seen in cross-sectional research.87

Urbanization

Degree of urbanization (rural/urban) does not typically emerge as a correlate of anxiety disorders.338586

Pathophysiology

Family genetics

Two main approaches have been used to study the familial transmission of anxiety disorders: family studies and twin studies. In family studies, including community studies with linked assessments of familial psychopathology, the familial aggregation of anxiety disorders has been shown to be substantial.88899091 Overall, children of parents with at least one anxiety disorder have a substantially increased risk of also having an anxiety disorder.92 A particular risk emerges for offspring when both parents are affected8891 or when the parents suffer from severely impairing, multiple, or early-onset anxiety disorders.93 Because it is known that anxiety disorders are associated with an increased risk of depression, it is not surprising that parental depression was also found to be associated with offspring anxiety,9495 and that higher rates of depression are also found among offspring of parents with anxiety disorders.9196 Such cross-disorder associations have prompted investigations into the specificity of the familial transmission of anxiety and other mental disorders. Although findings are mixed, there is some evidence for specificity. For example, in the longitudinal Oregon study of youth, relatives of subjects with anxiety disorder alone more frequently also had an anxiety disorder alone. The same applied to pure depressive disorders. Relatives of adolescents with comorbid anxiety/depression were more likely to show pure anxiety, pure depression, or comorbid anxiety/depression.97 Moffitt and colleagues98 showed in the Dunedin birth cohort that familial depression liability was associated with pure depression but not pure GAD among offspring. In the EDSP study, Beesdo and colleagues14 showed that parental GAD was associated with anxiety disorders alone and comorbid anxiety/depressive disorders among offspring, but not with depressive disorders alone. Thus, a familial transmission of anxiety at least partly independent from depression is suggested by these findings. Furthermore, some specificity seems to exist in the familial transmission of specific anxiety disorders,1499 consistent with findings from the classic family studies. For example, Fyer and colleagues100 found moderate but specific familial aggregation of simple phobia, social phobia, and panic disorder with agoraphobia in families of subjects who had any of these disorders but no other lifetime anxiety disorder comorbidity.

A meta-analyses of data by Hettema and colleagues90 from family and twin studies of panic disorder, GAD, and phobias in adults showed that all anxiety disorders have a significant familial aggregation. Twin studies can disentangle the genetic from the shared and nonshared environmental contributions in the familial transmission of anxiety disorders. Findings indicate that the estimated genetic heritabilities across the disorders are generally no more than modest, falling in the range of 30% to 40%. The considerable remaining variance in liability can be attributed primarily to individual (nonshared) environmental factors.101 Regarding specificity, twin studies indicate that the genetic liability for specific anxiety disorders overlaps partly.101102 Furthermore, GAD in particular shares genetic liability with major depression; both disorders, however, can be differentiated based on environmental risk.103104

Psychobiology

Anxiety disorders can be viewed as reflecting individual differences in neural function. Various physiological systems have been examined in animals and humans to document psychobiological substrates of anxiety. However, it is not clear as to what degree many neurobiological factors relate to anxiety and anxiety processing in general, or whether they are specific correlates of anxiety disorders.

Fear-conditioning experiments in animals have demonstrated that the amygdala is involved in the neural circuit of learning to fear a previously neutral/harmless stimulus.105 Extinction processes have been shown to require communication between the amygdala and the frontal cortex. Other forms of fear develop without prior learning and are regulated by distinct but related neural circuits. Animal research has impressively shown that function of the mature fear circuit, including hypothalamic-pituitary-adrenal (HPA) regulation, also reflects influences during childhood (eg, rearing or stress), but the nature of these influences is likely to be highly complex.49

In humans, brain imaging procedures have been used to study brain function related to anxiety. Besides some other brain structures such as the ventrolateral prefrontal cortex,106107 amygdala activity has been frequently examined in emotional face-viewing paradigms. Findings are inconsistent, but some studies implicate amygdala hypersensitivity in some forms of anxiety among youth. For example, Thomas and colleagues108 found enhanced amygdala activation during the viewing of evocative face-emotion displays among children with anxiety disorders. More specifically, McClure and colleagues107 found among adolescents with GAD increased amygdala responses to fearful facial expressions, particularly when they rated subjective degrees of internal fear. Thus, attention modulates emotion processing and plays an important role in shaping the function of the adolescent human fear circuit. A recent study examined commonalities and differences in amygdala activity in anxious versus depressed adolescents.109 During fearful-face processing, patients with anxiety and those with major depression both differed in amygdala responses from healthy participants and from each other, but only during a passive viewing condition that did not require a specific attention task. Focusing attention to rate subjectively experienced degrees of fear while viewing fearful faces was associated with similar amygdala hyperactivation in both anxious and depressed adolescents. These data support the view of neural distinctions between depression and anxiety as complex and nuanced, but clearly demonstrable. More work is needed to understand commonalities and differences in neural circuits of the specific anxiety disorders.

Few data are available regarding the question as to whether functional abnormalities occur as correlate of or vulnerability to anxiety disorders. One study compared amygdala activity in adults classified as inhibited or not inhibited in childhood,110 and found enhanced amygdala activity in the formerly inhibited individuals, implicating amygdala function in risk for anxiety. Another study found that perturbations in amygdala function are evident in adolescents temperamentally at risk for anxiety, and that attention state alters the underlying pattern of neural processing, potentially mediating the observed behavioral patterns across development.111 More such work is needed to understand to what degree findings of functional neural abnormalities relate to altered processing of anxiety-related cues or reflect the consequences of anxiety disorders, or whether these abnormalities pose a risk for a subsequent anxiety disorder onset. Of particular clinical interest, however, is the finding that brain function abnormalities decrease with successful pharmacological or cognitive-behavioral treatment (eg, Ref.112).

Temperament and Personality

Temperamental and personality trait vulnerabilities such as Eysenck’s neuroticism, Gray’s trait-anxiety, or Kagan’s behavioral inhibition, which are likely to be overlapping constructs, are consistently viewed to play an important role in anxiety disorders. In fact one might see these constructs as a precursor condition to the occurrence of prototypical anxiety disorders. The tripartite model conceptualizes general distress or negative affectivity as general higher-order vulnerability factor for anxiety and depression, whereas low positive affectivity is specific to depression, and physiological hyperarousal is specific to anxiety.113114 Similarly, in a hierarchical model115 negative affectivity is the higher-order factor relevant for anxiety and depression, but on a lower level each anxiety disorder contains an additional specific component.

Several studies support the tripartite and the hierarchical models for anxiety and depression symptoms (eg, Refs.116117118). Twin studies consistently show high correlations between neuroticism and anxiety and depression, as well as their co-occurrence.119120 It is estimated that about 50% of the genetic correlations between these disorders derives from the genetic factor for neuroticism. Epidemiological studies are generally in support of these findings, with few indications of specificity between anxiety and depression outcomes.121122

The temperamental concept of behavioral inhibition reflects the consistent tendency to display fear and withdrawal in unfamiliar situations.123 Behavioral inhibition is at least moderately stable, detectable early in life, and under some genetic control.124125 Children with behavioral inhibition are shy with strangers and fearful in unfamiliar situations.126 With few exceptions,127128 behavioral inhibition was shown to be a risk factor for the development of anxiety disorders (eg, Refs.126129130). There are also indications for specificity in this association within the anxiety disorders (strong associations particularly to social phobia)126131132 and in differentiation to depression.14126

Environmental Factors

Parenting style

Despite the existence of several clinical studies, there are only a few epidemiological studies examining the question as to whether parenting style is an important risk factor for anxiety disorders (for an overview, see Ref.133). In the EDSP study among adolescents, parental overprotection and parental rejection were significantly associated with increased rates of social phobia in offspring.8999 Other analyses from this study indicate that overprotection increases the risk for anxiety disorders but not “pure” depressive disorders, whereas depressive disorders show associations to rejection.14 Kendler and colleagues134 examined 1033 female adult twin pairs, and measured 3 dimensions of parenting (coldness, protectiveness, authoritarianism). High levels of coldness and authoritarianism in parents were modestly associated with increased risk for nearly all disorders. Nevertheless, the impact of protectiveness was more variable. Whereas phobia, GAD, major depression, and panic disorder were significantly associated with protectiveness, bulimia, drug abuse, and alcohol dependence showed no significant associations with this particular parenting dimension. In a clinical sample, Merikangas and colleagues88 did not find an association between family climate or rearing style and anxiety disorders in offspring of parents with anxiety or substance use disorder. In a prospective-longitudinal design, parent-adolescent disagreements were found to indirectly increase the risk for the onset of anxiety and depressive disorders through their direct association with high symptom levels.135 Considerable other work finds similar relationships, though using somewhat different procedures.136137

Social learning mechanisms,138 such as parental modeling of anxious or avoidance behavior, or parental attitudes and actions139140141142 are discussed as mediating mechanisms of these relationships, reflecting the aspects of the environment in these family-environmental factors. However, recent work suggests that such factors also reflect the influence of genetics, through gene-environment interactions and correlations.143

Childhood adversities

Most epidemiological studies find associations between adverse experiences in childhood (eg, loss of parents, parental divorce, physical and sexual abuse) and almost all mental disorders, including anxiety disorders. Kessler and colleagues144 found associations between retrospectively reported childhood adversities, including loss events (eg, parental divorce), parental psychopathologies (eg, maternal depression), interpersonal traumas (eg, rape), and subsequent onset of DSM-III-R disorders in a large United States community study of adults. These adversities were consistently associated with the onset of anxiety disorders, mood disorders, addictive disorders, and acting out disorders. Also, a history of neglect or abuse was a strong predictor of psychiatric morbidity (ie, anxiety disorders, depression, substance use disorders) in the Netherlands Mental Health Survey and Incidence Study (NEMESIS).145 In the New Zealand CHDS study, individuals who reported childhood sexual abuse had higher rates of major depression, anxiety disorder, conduct disorder, substance use disorder, and suicidal behavior than those not reporting sexual abuse.146 Furthermore, there were consistent relationships between the extent of childhood sexual abuse and the risk of mental disorders.

It remains an open question whether the nonspecificity of the findings mainly emerges because of the frequent comorbidity among disorders. Moffitt and colleagues98 found in the Dunedin birth cohort study that childhood maltreatment was associated with “pure” GAD and “pure” major depression, indicating nonspecificity. In the EDSP, however, childhood separation events were associated only with “pure” anxiety and comorbid anxiety/depression, but not with “pure” depression.14

Further questions refer to gender differences. For example, several studies suggest that the relationship between some psychiatric disorders and history of physical or sexual abuse tends to be stronger for women than for men.147148

Life events

Although more consistent findings emerge for depressive disorders,149150 several studies showed associations between life events and anxiety disorders. For example, in the EDSP study, preceding DSM-IV defined traumatic events predicted subsequent anxiety and depressive disorders.151 It has been suggested that experience of threat events tend to precede anxiety disorder, whereas loss events tend to precede depression.152 In a study that examined the relationship between parental loss before age 17 years and adult pathology in female same-sex twins from a population-based registry, Kendler and colleagues153 reported that increased risk for GAD was associated with parental separation. Increased risk for phobia was associated with parental death but not parental separation. Moreover, death of persons within the social network were more strongly associated with major depression than with GAD.154 Moderate specificity in the association between type of life event and type of psychopathology also emerged in a direct comparison of groups with pure major depression, pure GAD, and comorbid major depression and GAD.155 Loss and humiliation events predicted the onset of pure depression, and the onset of comorbid depression and GAD. Onset of pure GAD was associated with loss and danger events.

Summary of Correlates and Risk Factors

Table 6 summarizes the findings for correlates and risk factors for anxiety disorders, as well as the indications for specificity between the anxiety disorders and between anxiety and depression. Two aspects should be noted. First, this list is not exhaustive; a range of further variables were also found to be of relevance in the etiology/pathogenesis of anxiety disorders (eg, other mental disorders such as attention-deficit/hyperactivity disorder, conduct disorder, depression, somatic conditions, attributional and cognitive styles, neurotransmitter systems, HPA function). Second, beyond the mere identification of risk factors that may increase the probability for the development of anxiety disorders, it is of particular importance to also disentangle interactions between risk factors in the promotion of anxiety disorder onset. For example, Knappe and colleagues99 showed a combined effect of parental psychopathology and parental rearing on the risk for offspring social phobia, based on prospective-longitudinal community data. More work is needed to identify the core risk variables and to understand their interplay in critical time periods.156157158 Furthermore, intervention studies are needed to elucidate the causality status of risk factors.80

Table 6

Selected correlates and risk factors for anxiety disorders

VariablesAssociation with Anxiety DisordersaSpecificity for ParticularAnxiety DisorderbRisk Factor Status (Temporal Priority)bSpecificity for Anxiety versus Depressive Disordersb
Demographics
Female gender+++++
Lower education+
Bad financial situation/low household income+++
Urbanization+/−+/−+/−
Pathophysiology
Family genetics/familial aggregation++++++
Psychobiology+++++/−+
Temperament and personality
Neuroticism/negative affectivity++++/−++/−
Behavioral inhibition++++++
Environmental factors
Parenting style/family climate++
Childhood adversities (abuse, neglect, separation from parents, death of parent)++++
Life events+++/−++
Association with anxiety disorders: + ++, strong associations in many studies; ++, associations in several studies; +, associations in some studies, but some contrary findings; +/−, contrary findings; −, no associations in many studies.
Specificity for particular anxiety disorder/Risk factor status (temporal priority)/Specificity for anxiety versus depressive disorders: ++, strong evidence; +, some evidence; +/−, contrary findings; −, no evidence.

Demographic Variables

Sex

Female sex consistently emerges as a risk factor for the development of anxiety disorders. Females are about twice as likely as males to develop each of the anxiety disorders (eg, Refs.283382). Sex differences in prevalence, if any, are small in childhood but they increase with age.32

Education

Most epidemiological studies find higher rates of anxiety disorders among subjects with lower education in comparison with subjects with a higher education (eg, Ref.33). It remains unclear to which degree the lower educational performance is a predictor, correlate, or consequence of anxiety. Two adult studies found associations for anxiety but not for depressive disorders.8384

Financial situation

With few exceptions,8586 studies consistently find associations between low household income or unsatisfactory financial situations and anxiety disorders (eg, Ref.33). However, results from a quasi-experimental study suggest that these associations may not emerge through a risk factor-disorder association; other more complex relationships may explain the associations seen in cross-sectional research.87

Urbanization

Degree of urbanization (rural/urban) does not typically emerge as a correlate of anxiety disorders.338586

Pathophysiology

Family genetics

Two main approaches have been used to study the familial transmission of anxiety disorders: family studies and twin studies. In family studies, including community studies with linked assessments of familial psychopathology, the familial aggregation of anxiety disorders has been shown to be substantial.88899091 Overall, children of parents with at least one anxiety disorder have a substantially increased risk of also having an anxiety disorder.92 A particular risk emerges for offspring when both parents are affected8891 or when the parents suffer from severely impairing, multiple, or early-onset anxiety disorders.93 Because it is known that anxiety disorders are associated with an increased risk of depression, it is not surprising that parental depression was also found to be associated with offspring anxiety,9495 and that higher rates of depression are also found among offspring of parents with anxiety disorders.9196 Such cross-disorder associations have prompted investigations into the specificity of the familial transmission of anxiety and other mental disorders. Although findings are mixed, there is some evidence for specificity. For example, in the longitudinal Oregon study of youth, relatives of subjects with anxiety disorder alone more frequently also had an anxiety disorder alone. The same applied to pure depressive disorders. Relatives of adolescents with comorbid anxiety/depression were more likely to show pure anxiety, pure depression, or comorbid anxiety/depression.97 Moffitt and colleagues98 showed in the Dunedin birth cohort that familial depression liability was associated with pure depression but not pure GAD among offspring. In the EDSP study, Beesdo and colleagues14 showed that parental GAD was associated with anxiety disorders alone and comorbid anxiety/depressive disorders among offspring, but not with depressive disorders alone. Thus, a familial transmission of anxiety at least partly independent from depression is suggested by these findings. Furthermore, some specificity seems to exist in the familial transmission of specific anxiety disorders,1499 consistent with findings from the classic family studies. For example, Fyer and colleagues100 found moderate but specific familial aggregation of simple phobia, social phobia, and panic disorder with agoraphobia in families of subjects who had any of these disorders but no other lifetime anxiety disorder comorbidity.

A meta-analyses of data by Hettema and colleagues90 from family and twin studies of panic disorder, GAD, and phobias in adults showed that all anxiety disorders have a significant familial aggregation. Twin studies can disentangle the genetic from the shared and nonshared environmental contributions in the familial transmission of anxiety disorders. Findings indicate that the estimated genetic heritabilities across the disorders are generally no more than modest, falling in the range of 30% to 40%. The considerable remaining variance in liability can be attributed primarily to individual (nonshared) environmental factors.101 Regarding specificity, twin studies indicate that the genetic liability for specific anxiety disorders overlaps partly.101102 Furthermore, GAD in particular shares genetic liability with major depression; both disorders, however, can be differentiated based on environmental risk.103104

Demographic Variables

Sex

Female sex consistently emerges as a risk factor for the development of anxiety disorders. Females are about twice as likely as males to develop each of the anxiety disorders (eg, Refs.283382). Sex differences in prevalence, if any, are small in childhood but they increase with age.32

Education

Most epidemiological studies find higher rates of anxiety disorders among subjects with lower education in comparison with subjects with a higher education (eg, Ref.33). It remains unclear to which degree the lower educational performance is a predictor, correlate, or consequence of anxiety. Two adult studies found associations for anxiety but not for depressive disorders.8384

Financial situation

With few exceptions,8586 studies consistently find associations between low household income or unsatisfactory financial situations and anxiety disorders (eg, Ref.33). However, results from a quasi-experimental study suggest that these associations may not emerge through a risk factor-disorder association; other more complex relationships may explain the associations seen in cross-sectional research.87

Urbanization

Degree of urbanization (rural/urban) does not typically emerge as a correlate of anxiety disorders.338586

Sex

Female sex consistently emerges as a risk factor for the development of anxiety disorders. Females are about twice as likely as males to develop each of the anxiety disorders (eg, Refs.283382). Sex differences in prevalence, if any, are small in childhood but they increase with age.32

Education

Most epidemiological studies find higher rates of anxiety disorders among subjects with lower education in comparison with subjects with a higher education (eg, Ref.33). It remains unclear to which degree the lower educational performance is a predictor, correlate, or consequence of anxiety. Two adult studies found associations for anxiety but not for depressive disorders.8384

Financial situation

With few exceptions,8586 studies consistently find associations between low household income or unsatisfactory financial situations and anxiety disorders (eg, Ref.33). However, results from a quasi-experimental study suggest that these associations may not emerge through a risk factor-disorder association; other more complex relationships may explain the associations seen in cross-sectional research.87

Urbanization

Degree of urbanization (rural/urban) does not typically emerge as a correlate of anxiety disorders.338586

Pathophysiology

Family genetics

Two main approaches have been used to study the familial transmission of anxiety disorders: family studies and twin studies. In family studies, including community studies with linked assessments of familial psychopathology, the familial aggregation of anxiety disorders has been shown to be substantial.88899091 Overall, children of parents with at least one anxiety disorder have a substantially increased risk of also having an anxiety disorder.92 A particular risk emerges for offspring when both parents are affected8891 or when the parents suffer from severely impairing, multiple, or early-onset anxiety disorders.93 Because it is known that anxiety disorders are associated with an increased risk of depression, it is not surprising that parental depression was also found to be associated with offspring anxiety,9495 and that higher rates of depression are also found among offspring of parents with anxiety disorders.9196 Such cross-disorder associations have prompted investigations into the specificity of the familial transmission of anxiety and other mental disorders. Although findings are mixed, there is some evidence for specificity. For example, in the longitudinal Oregon study of youth, relatives of subjects with anxiety disorder alone more frequently also had an anxiety disorder alone. The same applied to pure depressive disorders. Relatives of adolescents with comorbid anxiety/depression were more likely to show pure anxiety, pure depression, or comorbid anxiety/depression.97 Moffitt and colleagues98 showed in the Dunedin birth cohort that familial depression liability was associated with pure depression but not pure GAD among offspring. In the EDSP study, Beesdo and colleagues14 showed that parental GAD was associated with anxiety disorders alone and comorbid anxiety/depressive disorders among offspring, but not with depressive disorders alone. Thus, a familial transmission of anxiety at least partly independent from depression is suggested by these findings. Furthermore, some specificity seems to exist in the familial transmission of specific anxiety disorders,1499 consistent with findings from the classic family studies. For example, Fyer and colleagues100 found moderate but specific familial aggregation of simple phobia, social phobia, and panic disorder with agoraphobia in families of subjects who had any of these disorders but no other lifetime anxiety disorder comorbidity.

A meta-analyses of data by Hettema and colleagues90 from family and twin studies of panic disorder, GAD, and phobias in adults showed that all anxiety disorders have a significant familial aggregation. Twin studies can disentangle the genetic from the shared and nonshared environmental contributions in the familial transmission of anxiety disorders. Findings indicate that the estimated genetic heritabilities across the disorders are generally no more than modest, falling in the range of 30% to 40%. The considerable remaining variance in liability can be attributed primarily to individual (nonshared) environmental factors.101 Regarding specificity, twin studies indicate that the genetic liability for specific anxiety disorders overlaps partly.101102 Furthermore, GAD in particular shares genetic liability with major depression; both disorders, however, can be differentiated based on environmental risk.103104

Family genetics

Two main approaches have been used to study the familial transmission of anxiety disorders: family studies and twin studies. In family studies, including community studies with linked assessments of familial psychopathology, the familial aggregation of anxiety disorders has been shown to be substantial.88899091 Overall, children of parents with at least one anxiety disorder have a substantially increased risk of also having an anxiety disorder.92 A particular risk emerges for offspring when both parents are affected8891 or when the parents suffer from severely impairing, multiple, or early-onset anxiety disorders.93 Because it is known that anxiety disorders are associated with an increased risk of depression, it is not surprising that parental depression was also found to be associated with offspring anxiety,9495 and that higher rates of depression are also found among offspring of parents with anxiety disorders.9196 Such cross-disorder associations have prompted investigations into the specificity of the familial transmission of anxiety and other mental disorders. Although findings are mixed, there is some evidence for specificity. For example, in the longitudinal Oregon study of youth, relatives of subjects with anxiety disorder alone more frequently also had an anxiety disorder alone. The same applied to pure depressive disorders. Relatives of adolescents with comorbid anxiety/depression were more likely to show pure anxiety, pure depression, or comorbid anxiety/depression.97 Moffitt and colleagues98 showed in the Dunedin birth cohort that familial depression liability was associated with pure depression but not pure GAD among offspring. In the EDSP study, Beesdo and colleagues14 showed that parental GAD was associated with anxiety disorders alone and comorbid anxiety/depressive disorders among offspring, but not with depressive disorders alone. Thus, a familial transmission of anxiety at least partly independent from depression is suggested by these findings. Furthermore, some specificity seems to exist in the familial transmission of specific anxiety disorders,1499 consistent with findings from the classic family studies. For example, Fyer and colleagues100 found moderate but specific familial aggregation of simple phobia, social phobia, and panic disorder with agoraphobia in families of subjects who had any of these disorders but no other lifetime anxiety disorder comorbidity.

A meta-analyses of data by Hettema and colleagues90 from family and twin studies of panic disorder, GAD, and phobias in adults showed that all anxiety disorders have a significant familial aggregation. Twin studies can disentangle the genetic from the shared and nonshared environmental contributions in the familial transmission of anxiety disorders. Findings indicate that the estimated genetic heritabilities across the disorders are generally no more than modest, falling in the range of 30% to 40%. The considerable remaining variance in liability can be attributed primarily to individual (nonshared) environmental factors.101 Regarding specificity, twin studies indicate that the genetic liability for specific anxiety disorders overlaps partly.101102 Furthermore, GAD in particular shares genetic liability with major depression; both disorders, however, can be differentiated based on environmental risk.103104

Psychobiology

Anxiety disorders can be viewed as reflecting individual differences in neural function. Various physiological systems have been examined in animals and humans to document psychobiological substrates of anxiety. However, it is not clear as to what degree many neurobiological factors relate to anxiety and anxiety processing in general, or whether they are specific correlates of anxiety disorders.

Fear-conditioning experiments in animals have demonstrated that the amygdala is involved in the neural circuit of learning to fear a previously neutral/harmless stimulus.105 Extinction processes have been shown to require communication between the amygdala and the frontal cortex. Other forms of fear develop without prior learning and are regulated by distinct but related neural circuits. Animal research has impressively shown that function of the mature fear circuit, including hypothalamic-pituitary-adrenal (HPA) regulation, also reflects influences during childhood (eg, rearing or stress), but the nature of these influences is likely to be highly complex.49

In humans, brain imaging procedures have been used to study brain function related to anxiety. Besides some other brain structures such as the ventrolateral prefrontal cortex,106107 amygdala activity has been frequently examined in emotional face-viewing paradigms. Findings are inconsistent, but some studies implicate amygdala hypersensitivity in some forms of anxiety among youth. For example, Thomas and colleagues108 found enhanced amygdala activation during the viewing of evocative face-emotion displays among children with anxiety disorders. More specifically, McClure and colleagues107 found among adolescents with GAD increased amygdala responses to fearful facial expressions, particularly when they rated subjective degrees of internal fear. Thus, attention modulates emotion processing and plays an important role in shaping the function of the adolescent human fear circuit. A recent study examined commonalities and differences in amygdala activity in anxious versus depressed adolescents.109 During fearful-face processing, patients with anxiety and those with major depression both differed in amygdala responses from healthy participants and from each other, but only during a passive viewing condition that did not require a specific attention task. Focusing attention to rate subjectively experienced degrees of fear while viewing fearful faces was associated with similar amygdala hyperactivation in both anxious and depressed adolescents. These data support the view of neural distinctions between depression and anxiety as complex and nuanced, but clearly demonstrable. More work is needed to understand commonalities and differences in neural circuits of the specific anxiety disorders.

Few data are available regarding the question as to whether functional abnormalities occur as correlate of or vulnerability to anxiety disorders. One study compared amygdala activity in adults classified as inhibited or not inhibited in childhood,110 and found enhanced amygdala activity in the formerly inhibited individuals, implicating amygdala function in risk for anxiety. Another study found that perturbations in amygdala function are evident in adolescents temperamentally at risk for anxiety, and that attention state alters the underlying pattern of neural processing, potentially mediating the observed behavioral patterns across development.111 More such work is needed to understand to what degree findings of functional neural abnormalities relate to altered processing of anxiety-related cues or reflect the consequences of anxiety disorders, or whether these abnormalities pose a risk for a subsequent anxiety disorder onset. Of particular clinical interest, however, is the finding that brain function abnormalities decrease with successful pharmacological or cognitive-behavioral treatment (eg, Ref.112).

Temperament and Personality

Temperamental and personality trait vulnerabilities such as Eysenck’s neuroticism, Gray’s trait-anxiety, or Kagan’s behavioral inhibition, which are likely to be overlapping constructs, are consistently viewed to play an important role in anxiety disorders. In fact one might see these constructs as a precursor condition to the occurrence of prototypical anxiety disorders. The tripartite model conceptualizes general distress or negative affectivity as general higher-order vulnerability factor for anxiety and depression, whereas low positive affectivity is specific to depression, and physiological hyperarousal is specific to anxiety.113114 Similarly, in a hierarchical model115 negative affectivity is the higher-order factor relevant for anxiety and depression, but on a lower level each anxiety disorder contains an additional specific component.

Several studies support the tripartite and the hierarchical models for anxiety and depression symptoms (eg, Refs.116117118). Twin studies consistently show high correlations between neuroticism and anxiety and depression, as well as their co-occurrence.119120 It is estimated that about 50% of the genetic correlations between these disorders derives from the genetic factor for neuroticism. Epidemiological studies are generally in support of these findings, with few indications of specificity between anxiety and depression outcomes.121122

The temperamental concept of behavioral inhibition reflects the consistent tendency to display fear and withdrawal in unfamiliar situations.123 Behavioral inhibition is at least moderately stable, detectable early in life, and under some genetic control.124125 Children with behavioral inhibition are shy with strangers and fearful in unfamiliar situations.126 With few exceptions,127128 behavioral inhibition was shown to be a risk factor for the development of anxiety disorders (eg, Refs.126129130). There are also indications for specificity in this association within the anxiety disorders (strong associations particularly to social phobia)126131132 and in differentiation to depression.14126

Environmental Factors

Parenting style

Despite the existence of several clinical studies, there are only a few epidemiological studies examining the question as to whether parenting style is an important risk factor for anxiety disorders (for an overview, see Ref.133). In the EDSP study among adolescents, parental overprotection and parental rejection were significantly associated with increased rates of social phobia in offspring.8999 Other analyses from this study indicate that overprotection increases the risk for anxiety disorders but not “pure” depressive disorders, whereas depressive disorders show associations to rejection.14 Kendler and colleagues134 examined 1033 female adult twin pairs, and measured 3 dimensions of parenting (coldness, protectiveness, authoritarianism). High levels of coldness and authoritarianism in parents were modestly associated with increased risk for nearly all disorders. Nevertheless, the impact of protectiveness was more variable. Whereas phobia, GAD, major depression, and panic disorder were significantly associated with protectiveness, bulimia, drug abuse, and alcohol dependence showed no significant associations with this particular parenting dimension. In a clinical sample, Merikangas and colleagues88 did not find an association between family climate or rearing style and anxiety disorders in offspring of parents with anxiety or substance use disorder. In a prospective-longitudinal design, parent-adolescent disagreements were found to indirectly increase the risk for the onset of anxiety and depressive disorders through their direct association with high symptom levels.135 Considerable other work finds similar relationships, though using somewhat different procedures.136137

Social learning mechanisms,138 such as parental modeling of anxious or avoidance behavior, or parental attitudes and actions139140141142 are discussed as mediating mechanisms of these relationships, reflecting the aspects of the environment in these family-environmental factors. However, recent work suggests that such factors also reflect the influence of genetics, through gene-environment interactions and correlations.143

Childhood adversities

Most epidemiological studies find associations between adverse experiences in childhood (eg, loss of parents, parental divorce, physical and sexual abuse) and almost all mental disorders, including anxiety disorders. Kessler and colleagues144 found associations between retrospectively reported childhood adversities, including loss events (eg, parental divorce), parental psychopathologies (eg, maternal depression), interpersonal traumas (eg, rape), and subsequent onset of DSM-III-R disorders in a large United States community study of adults. These adversities were consistently associated with the onset of anxiety disorders, mood disorders, addictive disorders, and acting out disorders. Also, a history of neglect or abuse was a strong predictor of psychiatric morbidity (ie, anxiety disorders, depression, substance use disorders) in the Netherlands Mental Health Survey and Incidence Study (NEMESIS).145 In the New Zealand CHDS study, individuals who reported childhood sexual abuse had higher rates of major depression, anxiety disorder, conduct disorder, substance use disorder, and suicidal behavior than those not reporting sexual abuse.146 Furthermore, there were consistent relationships between the extent of childhood sexual abuse and the risk of mental disorders.

It remains an open question whether the nonspecificity of the findings mainly emerges because of the frequent comorbidity among disorders. Moffitt and colleagues98 found in the Dunedin birth cohort study that childhood maltreatment was associated with “pure” GAD and “pure” major depression, indicating nonspecificity. In the EDSP, however, childhood separation events were associated only with “pure” anxiety and comorbid anxiety/depression, but not with “pure” depression.14

Further questions refer to gender differences. For example, several studies suggest that the relationship between some psychiatric disorders and history of physical or sexual abuse tends to be stronger for women than for men.147148

Life events

Although more consistent findings emerge for depressive disorders,149150 several studies showed associations between life events and anxiety disorders. For example, in the EDSP study, preceding DSM-IV defined traumatic events predicted subsequent anxiety and depressive disorders.151 It has been suggested that experience of threat events tend to precede anxiety disorder, whereas loss events tend to precede depression.152 In a study that examined the relationship between parental loss before age 17 years and adult pathology in female same-sex twins from a population-based registry, Kendler and colleagues153 reported that increased risk for GAD was associated with parental separation. Increased risk for phobia was associated with parental death but not parental separation. Moreover, death of persons within the social network were more strongly associated with major depression than with GAD.154 Moderate specificity in the association between type of life event and type of psychopathology also emerged in a direct comparison of groups with pure major depression, pure GAD, and comorbid major depression and GAD.155 Loss and humiliation events predicted the onset of pure depression, and the onset of comorbid depression and GAD. Onset of pure GAD was associated with loss and danger events.

Summary of Correlates and Risk Factors

Table 6 summarizes the findings for correlates and risk factors for anxiety disorders, as well as the indications for specificity between the anxiety disorders and between anxiety and depression. Two aspects should be noted. First, this list is not exhaustive; a range of further variables were also found to be of relevance in the etiology/pathogenesis of anxiety disorders (eg, other mental disorders such as attention-deficit/hyperactivity disorder, conduct disorder, depression, somatic conditions, attributional and cognitive styles, neurotransmitter systems, HPA function). Second, beyond the mere identification of risk factors that may increase the probability for the development of anxiety disorders, it is of particular importance to also disentangle interactions between risk factors in the promotion of anxiety disorder onset. For example, Knappe and colleagues99 showed a combined effect of parental psychopathology and parental rearing on the risk for offspring social phobia, based on prospective-longitudinal community data. More work is needed to identify the core risk variables and to understand their interplay in critical time periods.156157158 Furthermore, intervention studies are needed to elucidate the causality status of risk factors.80

Table 6

Selected correlates and risk factors for anxiety disorders

VariablesAssociation with Anxiety DisordersaSpecificity for ParticularAnxiety DisorderbRisk Factor Status (Temporal Priority)bSpecificity for Anxiety versus Depressive Disordersb
Demographics
Female gender+++++
Lower education+
Bad financial situation/low household income+++
Urbanization+/−+/−+/−
Pathophysiology
Family genetics/familial aggregation++++++
Psychobiology+++++/−+
Temperament and personality
Neuroticism/negative affectivity++++/−++/−
Behavioral inhibition++++++
Environmental factors
Parenting style/family climate++
Childhood adversities (abuse, neglect, separation from parents, death of parent)++++
Life events+++/−++
Association with anxiety disorders: + ++, strong associations in many studies; ++, associations in several studies; +, associations in some studies, but some contrary findings; +/−, contrary findings; −, no associations in many studies.
Specificity for particular anxiety disorder/Risk factor status (temporal priority)/Specificity for anxiety versus depressive disorders: ++, strong evidence; +, some evidence; +/−, contrary findings; −, no evidence.

Temperament and Personality

Temperamental and personality trait vulnerabilities such as Eysenck’s neuroticism, Gray’s trait-anxiety, or Kagan’s behavioral inhibition, which are likely to be overlapping constructs, are consistently viewed to play an important role in anxiety disorders. In fact one might see these constructs as a precursor condition to the occurrence of prototypical anxiety disorders. The tripartite model conceptualizes general distress or negative affectivity as general higher-order vulnerability factor for anxiety and depression, whereas low positive affectivity is specific to depression, and physiological hyperarousal is specific to anxiety.113114 Similarly, in a hierarchical model115 negative affectivity is the higher-order factor relevant for anxiety and depression, but on a lower level each anxiety disorder contains an additional specific component.

Several studies support the tripartite and the hierarchical models for anxiety and depression symptoms (eg, Refs.116117118). Twin studies consistently show high correlations between neuroticism and anxiety and depression, as well as their co-occurrence.119120 It is estimated that about 50% of the genetic correlations between these disorders derives from the genetic factor for neuroticism. Epidemiological studies are generally in support of these findings, with few indications of specificity between anxiety and depression outcomes.121122

The temperamental concept of behavioral inhibition reflects the consistent tendency to display fear and withdrawal in unfamiliar situations.123 Behavioral inhibition is at least moderately stable, detectable early in life, and under some genetic control.124125 Children with behavioral inhibition are shy with strangers and fearful in unfamiliar situations.126 With few exceptions,127128 behavioral inhibition was shown to be a risk factor for the development of anxiety disorders (eg, Refs.126129130). There are also indications for specificity in this association within the anxiety disorders (strong associations particularly to social phobia)126131132 and in differentiation to depression.14126

Environmental Factors

Parenting style

Despite the existence of several clinical studies, there are only a few epidemiological studies examining the question as to whether parenting style is an important risk factor for anxiety disorders (for an overview, see Ref.133). In the EDSP study among adolescents, parental overprotection and parental rejection were significantly associated with increased rates of social phobia in offspring.8999 Other analyses from this study indicate that overprotection increases the risk for anxiety disorders but not “pure” depressive disorders, whereas depressive disorders show associations to rejection.14 Kendler and colleagues134 examined 1033 female adult twin pairs, and measured 3 dimensions of parenting (coldness, protectiveness, authoritarianism). High levels of coldness and authoritarianism in parents were modestly associated with increased risk for nearly all disorders. Nevertheless, the impact of protectiveness was more variable. Whereas phobia, GAD, major depression, and panic disorder were significantly associated with protectiveness, bulimia, drug abuse, and alcohol dependence showed no significant associations with this particular parenting dimension. In a clinical sample, Merikangas and colleagues88 did not find an association between family climate or rearing style and anxiety disorders in offspring of parents with anxiety or substance use disorder. In a prospective-longitudinal design, parent-adolescent disagreements were found to indirectly increase the risk for the onset of anxiety and depressive disorders through their direct association with high symptom levels.135 Considerable other work finds similar relationships, though using somewhat different procedures.136137

Social learning mechanisms,138 such as parental modeling of anxious or avoidance behavior, or parental attitudes and actions139140141142 are discussed as mediating mechanisms of these relationships, reflecting the aspects of the environment in these family-environmental factors. However, recent work suggests that such factors also reflect the influence of genetics, through gene-environment interactions and correlations.143

Childhood adversities

Most epidemiological studies find associations between adverse experiences in childhood (eg, loss of parents, parental divorce, physical and sexual abuse) and almost all mental disorders, including anxiety disorders. Kessler and colleagues144 found associations between retrospectively reported childhood adversities, including loss events (eg, parental divorce), parental psychopathologies (eg, maternal depression), interpersonal traumas (eg, rape), and subsequent onset of DSM-III-R disorders in a large United States community study of adults. These adversities were consistently associated with the onset of anxiety disorders, mood disorders, addictive disorders, and acting out disorders. Also, a history of neglect or abuse was a strong predictor of psychiatric morbidity (ie, anxiety disorders, depression, substance use disorders) in the Netherlands Mental Health Survey and Incidence Study (NEMESIS).145 In the New Zealand CHDS study, individuals who reported childhood sexual abuse had higher rates of major depression, anxiety disorder, conduct disorder, substance use disorder, and suicidal behavior than those not reporting sexual abuse.146 Furthermore, there were consistent relationships between the extent of childhood sexual abuse and the risk of mental disorders.

It remains an open question whether the nonspecificity of the findings mainly emerges because of the frequent comorbidity among disorders. Moffitt and colleagues98 found in the Dunedin birth cohort study that childhood maltreatment was associated with “pure” GAD and “pure” major depression, indicating nonspecificity. In the EDSP, however, childhood separation events were associated only with “pure” anxiety and comorbid anxiety/depression, but not with “pure” depression.14

Further questions refer to gender differences. For example, several studies suggest that the relationship between some psychiatric disorders and history of physical or sexual abuse tends to be stronger for women than for men.147148

Life events

Although more consistent findings emerge for depressive disorders,149150 several studies showed associations between life events and anxiety disorders. For example, in the EDSP study, preceding DSM-IV defined traumatic events predicted subsequent anxiety and depressive disorders.151 It has been suggested that experience of threat events tend to precede anxiety disorder, whereas loss events tend to precede depression.152 In a study that examined the relationship between parental loss before age 17 years and adult pathology in female same-sex twins from a population-based registry, Kendler and colleagues153 reported that increased risk for GAD was associated with parental separation. Increased risk for phobia was associated with parental death but not parental separation. Moreover, death of persons within the social network were more strongly associated with major depression than with GAD.154 Moderate specificity in the association between type of life event and type of psychopathology also emerged in a direct comparison of groups with pure major depression, pure GAD, and comorbid major depression and GAD.155 Loss and humiliation events predicted the onset of pure depression, and the onset of comorbid depression and GAD. Onset of pure GAD was associated with loss and danger events.

Parenting style

Despite the existence of several clinical studies, there are only a few epidemiological studies examining the question as to whether parenting style is an important risk factor for anxiety disorders (for an overview, see Ref.133). In the EDSP study among adolescents, parental overprotection and parental rejection were significantly associated with increased rates of social phobia in offspring.8999 Other analyses from this study indicate that overprotection increases the risk for anxiety disorders but not “pure” depressive disorders, whereas depressive disorders show associations to rejection.14 Kendler and colleagues134 examined 1033 female adult twin pairs, and measured 3 dimensions of parenting (coldness, protectiveness, authoritarianism). High levels of coldness and authoritarianism in parents were modestly associated with increased risk for nearly all disorders. Nevertheless, the impact of protectiveness was more variable. Whereas phobia, GAD, major depression, and panic disorder were significantly associated with protectiveness, bulimia, drug abuse, and alcohol dependence showed no significant associations with this particular parenting dimension. In a clinical sample, Merikangas and colleagues88 did not find an association between family climate or rearing style and anxiety disorders in offspring of parents with anxiety or substance use disorder. In a prospective-longitudinal design, parent-adolescent disagreements were found to indirectly increase the risk for the onset of anxiety and depressive disorders through their direct association with high symptom levels.135 Considerable other work finds similar relationships, though using somewhat different procedures.136137

Social learning mechanisms,138 such as parental modeling of anxious or avoidance behavior, or parental attitudes and actions139140141142 are discussed as mediating mechanisms of these relationships, reflecting the aspects of the environment in these family-environmental factors. However, recent work suggests that such factors also reflect the influence of genetics, through gene-environment interactions and correlations.143

Childhood adversities

Most epidemiological studies find associations between adverse experiences in childhood (eg, loss of parents, parental divorce, physical and sexual abuse) and almost all mental disorders, including anxiety disorders. Kessler and colleagues144 found associations between retrospectively reported childhood adversities, including loss events (eg, parental divorce), parental psychopathologies (eg, maternal depression), interpersonal traumas (eg, rape), and subsequent onset of DSM-III-R disorders in a large United States community study of adults. These adversities were consistently associated with the onset of anxiety disorders, mood disorders, addictive disorders, and acting out disorders. Also, a history of neglect or abuse was a strong predictor of psychiatric morbidity (ie, anxiety disorders, depression, substance use disorders) in the Netherlands Mental Health Survey and Incidence Study (NEMESIS).145 In the New Zealand CHDS study, individuals who reported childhood sexual abuse had higher rates of major depression, anxiety disorder, conduct disorder, substance use disorder, and suicidal behavior than those not reporting sexual abuse.146 Furthermore, there were consistent relationships between the extent of childhood sexual abuse and the risk of mental disorders.

It remains an open question whether the nonspecificity of the findings mainly emerges because of the frequent comorbidity among disorders. Moffitt and colleagues98 found in the Dunedin birth cohort study that childhood maltreatment was associated with “pure” GAD and “pure” major depression, indicating nonspecificity. In the EDSP, however, childhood separation events were associated only with “pure” anxiety and comorbid anxiety/depression, but not with “pure” depression.14

Further questions refer to gender differences. For example, several studies suggest that the relationship between some psychiatric disorders and history of physical or sexual abuse tends to be stronger for women than for men.147148

Life events

Although more consistent findings emerge for depressive disorders,149150 several studies showed associations between life events and anxiety disorders. For example, in the EDSP study, preceding DSM-IV defined traumatic events predicted subsequent anxiety and depressive disorders.151 It has been suggested that experience of threat events tend to precede anxiety disorder, whereas loss events tend to precede depression.152 In a study that examined the relationship between parental loss before age 17 years and adult pathology in female same-sex twins from a population-based registry, Kendler and colleagues153 reported that increased risk for GAD was associated with parental separation. Increased risk for phobia was associated with parental death but not parental separation. Moreover, death of persons within the social network were more strongly associated with major depression than with GAD.154 Moderate specificity in the association between type of life event and type of psychopathology also emerged in a direct comparison of groups with pure major depression, pure GAD, and comorbid major depression and GAD.155 Loss and humiliation events predicted the onset of pure depression, and the onset of comorbid depression and GAD. Onset of pure GAD was associated with loss and danger events.

Summary of Correlates and Risk Factors

Table 6 summarizes the findings for correlates and risk factors for anxiety disorders, as well as the indications for specificity between the anxiety disorders and between anxiety and depression. Two aspects should be noted. First, this list is not exhaustive; a range of further variables were also found to be of relevance in the etiology/pathogenesis of anxiety disorders (eg, other mental disorders such as attention-deficit/hyperactivity disorder, conduct disorder, depression, somatic conditions, attributional and cognitive styles, neurotransmitter systems, HPA function). Second, beyond the mere identification of risk factors that may increase the probability for the development of anxiety disorders, it is of particular importance to also disentangle interactions between risk factors in the promotion of anxiety disorder onset. For example, Knappe and colleagues99 showed a combined effect of parental psychopathology and parental rearing on the risk for offspring social phobia, based on prospective-longitudinal community data. More work is needed to identify the core risk variables and to understand their interplay in critical time periods.156157158 Furthermore, intervention studies are needed to elucidate the causality status of risk factors.80

Table 6

Selected correlates and risk factors for anxiety disorders

VariablesAssociation with Anxiety DisordersaSpecificity for ParticularAnxiety DisorderbRisk Factor Status (Temporal Priority)bSpecificity for Anxiety versus Depressive Disordersb
Demographics
Female gender+++++
Lower education+
Bad financial situation/low household income+++
Urbanization+/−+/−+/−
Pathophysiology
Family genetics/familial aggregation++++++
Psychobiology+++++/−+
Temperament and personality
Neuroticism/negative affectivity++++/−++/−
Behavioral inhibition++++++
Environmental factors
Parenting style/family climate++
Childhood adversities (abuse, neglect, separation from parents, death of parent)++++
Life events+++/−++
Association with anxiety disorders: + ++, strong associations in many studies; ++, associations in several studies; +, associations in some studies, but some contrary findings; +/−, contrary findings; −, no associations in many studies.
Specificity for particular anxiety disorder/Risk factor status (temporal priority)/Specificity for anxiety versus depressive disorders: ++, strong evidence; +, some evidence; +/−, contrary findings; −, no evidence.

SUMMARY AND CONCLUSIONS

Anxiety disorders are common and early emerging conditions associated with considerable developmental, psychosocial, and psychopathological complications. Although early anxiety syndromes may remit spontaneously, the vast majority of children and adolescents that have developed a threshold anxiety disorder will be affected by the same condition or other mental disorders (including other anxiety disorders, depressive disorders, or substance use disorders) over the further course of life. The secondary development of depressive disorders is a particularly frequent complication across the range of anxiety disorders, calling for further studies delineating the processes behind this increased depression risk among individuals with anxiety disorders. The identification of early vulnerability and risk factors for anxiety disorders is of crucial importance to facilitate research into the development of targeted prevention or early interventions programs. Although several variables have been identified as potential risk factors for anxiety disorders, such as parental psychopathology, behaviorally inhibited temperament, or early life adversity, more work is needed to identify the most powerful predictors, and to understand their complex biological and psychological mechanisms and interactions in promoting the onset of anxiety disorders, and further, the adverse long-term course, to identify those variables that might provide the best guidance for early intervention. This task is challenging because substantial differences seem to exist between specific anxiety disorders. Moreover, differences exist for different developmental phases. Overall, developmental issues have been largely ignored by the current diagnostic classification systems. The research reviewed in this article suggests incorporation of a developmental perspective into the next revision of the DSM. Such a perspective includes the necessity of explicit information on:

  • Differences in symptom presentation across age (children versus adolescents versus adults): what constitutes a disorder given age and context?

  • Differences in symptom report as a function of information source (self-report, parent report, teacher report) and guidance on optimal assessment as a function of age and disorder type

  • Differences in course, persistence, and outcome as a function of age, age of onset, and disorder type

  • Possibilities of dimensional assessments to differentiate degrees of symptom expression in terms of duration, severity, and illness stages

Besides this clinical descriptive perspective, other issues are important, for example the influence of genetic, neurobiologic, or temperamental factors.159 Developmentally more differentiated information in the DSM would clearly facilitate recognition and diagnosis at all ages, particularly in children in whom the border between normal and pathological phenomena may be particularly narrow. Improved diagnosis also improves allocation of treatment. Many children live with an unrecognized anxiety disorder and are in need of treatment. Psychological and psychopharmacological treatment options are suitable and available for youth; however, more research is needed to further test and improve these interventions.49 Although considerable evidence has been accumulated on the effectiveness of cognitive-behavior therapy for anxiety disorders among children and adolescents, the data regarding pharmacological treatments such as selective serotonin reuptake inhibitors among youth are still scarce. One major concern with psychopharmacological interventions in children regards the unknown long-term effects of such treatment on neurological development. Across all interventions, open questions also refer to the need to separate specific anxiety disorders. What would be the consequence for clinical research and treatment if all anxiety disorders or even internalizing disorders, including anxiety and depressive disorders, would be lumped into one group in future diagnostic systems? The research reviewed in this article suggests retaining the current degree of specificity in diagnoses as specified in DSM-IV-TR, particularly as related to anxiety disorders in children and adolescents.

Institute of Clinical Psychology and Psychotherapy, Department of Psychology, Faculty of Science, Technische Universität Dresden, Chemnitzer Str. 46, 01187 Dresden, Germany
Section on Development and Affective Neuroscience, Department of Health and Human Services, National Institute of Mental Health, National Institutes of Health, Bethesda, MD 20892-1381, USA
Corresponding author: ed.nedserd-ut@odseeB.ajtaK (K. Beesdo)

Abstract

This review summarizes findings on the epidemiology and etiology of anxiety disorders among children and adolescents including separation anxiety disorder, specific phobia, social phobia, agoraphobia, panic disorder, and generalized anxiety disorder, also highlighting critical aspects of diagnosis, assessment, and treatment. Childhood and adolescence is the core risk phase for the development of anxiety symptoms and syndromes, ranging from transient mild symptoms to full-blown anxiety disorders. This article critically reviews epidemiological evidence covering prevalence, incidence, course, and risk factors. The core challenge in this age span is the derivation of developmentally more sensitive assessment methods. Identification of characteristics that could serve as solid predictors for onset, course, and outcome will require prospective designs that assess a wide range of putative vulnerability and risk factors. This type of information is important for improved early recognition and differential diagnosis as well as prevention and treatment in this age span.

Keywords: Anxiety, Assessment, Diagnosis, Boundaries, Onset, Course, Outcome
Abstract

References

  • 1. Pine DS, Helfinstein SM, Bar-Haim Y, et al Challenges in developing novel treatments for childhood disorders: lessons from research on anxiety. Neuropsychopharmacology. 2009;34(1):213–28.[Google Scholar]
  • 2. APA. Diagnostic and statistical manual of mental disorders. 4. Washington, DC: American Psychiatric Press; 2000. text revision. [PubMed]
  • 3. Morris RJ, Kratochwill TR. Childhood fears and phobias. In: Kratochwill TR, Morris RJ, editors. The practice of child therapy. 2. New York: Pergamon; 1991. pp. 76–114. [PubMed]
  • 4. Muris P, Merckelbach H, Mayer B, et al Common fears and their relationship to anxiety disorders symptomatology in normal children. Pers Individ Dif. 1998;24(4):575–8.[PubMed][Google Scholar]
  • 5. McCathie H, Spence SHWhat is the revised fear survey schedule for children measuring? Behav Res Ther. 1991;29(5):495–502.[PubMed][Google Scholar]
  • 6. Campbell MA, Rapee RM, Spence SHDevelopmental changes in the interpretation of rating format on a questionnaire measure of worry. Clin Psychol. 2000;5(2):49–59.[PubMed][Google Scholar]
  • 7. WHO. The ICD-10 classification of mental and behavioural disorders: diagnostic criteria for research. Geneva, Switzerland: World Health Organization; 1993. [PubMed]
  • 8. Schniering CA, Hudson JL, Rapee RMIssues in the diagnosis and assessment of anxiety disorders in children and adolescents. Clin Psychol Rev. 2000;20(4):453–78.[PubMed][Google Scholar]
  • 9. Kendall PC, Hedtke KA, Aschenbrand SG. Behavioral and emotional disorders in adolescents. Nature, assessment and treatment. In: Wolfe DA, Mash EJ, editors. Anxiety disorders. New York: Guilford Press; 2006. pp. 259–99. [PubMed]
  • 10. Phillips K, Price LH, Greenberg BD, et al Should the DSM diagnostic groupings be changed? In: Phillips K, First MB, Pincus HA, editors. Advancing DSM. Dilemmas in psychiatric diagnosis. Arlington (VA): American Psychiatric Association; 2003. pp. 57–87. [PubMed][Google Scholar]
  • 11. Henry B, Moffitt TE, Caspi A, et al On the “remembrance of things past”: a longitudinal evaluation of the retrospective method. Psychol Assess. 1994;6:92–101.[PubMed][Google Scholar]
  • 12. Kessler RC, Berglund P, Demler O, et al Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication. Arch Gen Psychiatry. 2005;62:593–602.[PubMed][Google Scholar]
  • 13. Last CG, Perrin S, Hersen M, et al A prospective study of childhood anxiety disorders. J Am Acad Child Adolesc Psychiatry. 1996;35:1502–10.[PubMed][Google Scholar]
  • 14. Beesdo K, Pine DS, Lieb R, et al Similarities and differences in incidence and risk patterns of anxiety and depressive disorders: the position of generalized anxiety disorder. Arch Gen Psychiatry. in press. [[PubMed]
  • 15. Robins E, Guze SBEstablishment of diagnostic validity in psychiatric illness: its application to schizophrenia. Am J Psychiatry. 1970;126(7):983–7.[PubMed][Google Scholar]
  • 16. Becker ES, Rinck M, Türke V, et al Epidemiology of specific phobia subtypes: findings from the Dresden mental health study. Eur Psychiatry. 2007;22(2):69–74.[PubMed][Google Scholar]
  • 17. Wittchen HU, Lieb R, Schuster P, et al. When is onset? Investigations into early developmental stages of anxiety and depressive disorders. In: Rapoport JL, editor. Childhood onset of “adult” psychopathology. Clinical and research advances. Washington, DC: American Psychiatric Press, Inc; 1999. pp. 259–302. [PubMed]
  • 18. Beesdo K, Bittner A, Pine DS, et al Incidence of social anxiety disorder and the consistent risk for secondary depression in the first three decades of life. Arch Gen Psychiatry. 2007;64(8):903–12.[PubMed][Google Scholar]
  • 19. Wittchen H-U, Fehm LEpidemiology and natural course of social fears and social phobia. Acta Psychiatr Scand. 2003;108(Suppl 417):4–18.[PubMed][Google Scholar]
  • 20. de Graaf R, Bijl R, Spijker J, et al Temporal sequencing of lifetime mood disorders in relation to comorbid anxiety and substance use disorders. Soc Psychiatry Psychiatr Epidemiol. 2003;38:1–11.[PubMed][Google Scholar]
  • 21. Wittchen HU, Nocon A, Beesdo K, et al Agoraphobia and panic: prospective-longitudinal relations suggest a rethinking of diagnostic concepts. Psychother Psychosom. 2008;77:147–57.[PubMed][Google Scholar]
  • 22. Ruscio AM, Lane M, Roy-Byrne P, et al Should excessive worry be required for a diagnosis of generalized anxiety disorder? Results from the US National Comorbidity Survey Replication. Psychol Med. 2005;35(12):1761–72.[Google Scholar]
  • 23. Ruscio AM, Chiu WT, Roy-Byrne P, et al Broadening the definition of generalized anxiety disorder: effects on prevalence and associations with other disorders in the National Comorbidity Survey Replication. J Anxiety Disord. 2007;21:662–76.[Google Scholar]
  • 24. Kessler RC, Brandenburg N, Lane M, et al Rethinking the duration requirement for generalized anxiety disorder: evidence from the National Comorbidity Survey Replication. Psychol Med. 2005;35(7):1073–82.[PubMed][Google Scholar]
  • 25. Beesdo K The development of Generalized Anxiety. A prospective-longitudinal, clinicale-pidemiologic study among adolescents and young adults. Dresden: TUD Press; 2006. Wie entstehen Generalisierte Ängste? Eine prospektiv-longitudinale, klinisch-epidemiologische Studie bei Jugendlichen und jungen Erwachsenen. [PubMed][Google Scholar]
  • 26. Bittner A, Egger HL, Erkanli A, et al What do childhood anxiety disorders predict? J Child Psychol Psychiatry. 2007;48(12):1174–83.[PubMed][Google Scholar]
  • 27. Newman DL, Moffitt TE, Caspi A, et al Psychiatric disorder in a birth cohort of young adults: prevalence, comorbidity, clinical significance, and new case incidence from age 11 to 21. J Consult Clin Psychol. 1996;64(3):552–62.[PubMed][Google Scholar]
  • 28. Pine DS, Cohen P, Gurley D, et al The risk for early-adulthood anxiety and depressive disorders in adolescents with anxiety and depressive disorders. Arch Gen Psychiatry. 1998;55:56–64.[PubMed][Google Scholar]
  • 29. Bowen RC, Offord DR, Boyle MHThe prevalence of overanxious disorder and separation anxiety disorder: results from the Ontario child health study. J Am Acad Child Adolesc Psychiatry. 1990;29:753–8.[PubMed][Google Scholar]
  • 30. Bolton D, Eley TC, O’Connor TG, et al Prevalence and genetic and environmental influences on anxiety disorders in 6-year-old twins. Psychol Med. 2006;36(3):335–44.[PubMed][Google Scholar]
  • 31. Horwath E, Lish JD, Johnson J, et al Agoraphobia without panic: clinical reappraisal of an epidemiologic finding. Am J Psychiatry. 1993;150(10):1496–501.[PubMed][Google Scholar]
  • 32. Craske MG Origins of phobias and anxiety disorders: why more women than men? Amsterdam: Elsevier; 2003. [PubMed][Google Scholar]
  • 33. Wittchen H-U, Nelson CB, Lachner GPrevalence of mental disorders and psychosocial impairments in adolescents and young adults. Psychol Med. 1998;28:109–26.[PubMed][Google Scholar]
  • 34. Helzer JE, Kraemer HC, Krueger RF, et al., editors. Refining the research agenda for DSM-V. Arlington (VA): APA; 2008. Dimensional approaches in diagnostic classification. [PubMed]
  • 35. Wakefield JC, First MB. Clarifying the distinction between disorder an nondisorder. Confronting the overdiagnosis (false-positives) problem in DSM-V. In: Phillips K, First MB, Pincus HA, editors. Advancing DSM. Dilemmas in psychiatric diagnosis. Arlington (VA): American Psychiatric Association; 2003. pp. 23–55. [PubMed]
  • 36. Shaffer D, Fisher P, Dulcan MK, et al The NIMH diagnostic interview schedule for children version 2.3 (DISC-2.3): description, acceptability, prevalence rates, and performance in the MECA study. J Am Acad Child Adolesc Psychiatry. 1996;35(7):865–77.[PubMed][Google Scholar]
  • 37. Pincus HA, McQueens LE, Elinson L. Subthreshold mental disorders. Nosological and research recommendations. In: Phillips K, First MB, Pincus HA, editors. Advancing DSM. Dilemmas in psychiatric diagnosis. Arlington (VA): American Psychiatric Association; 2003. pp. 129–44. [PubMed]
  • 38. Regier DADimensional approaches to psychiatric classification: refining the research agenda for DSM-V: an introduction. Int J Methods Psychiatr Res. 2007;16(Suppl 1):S1–5.[PubMed][Google Scholar]
  • 39. Shear MK, Bjelland I, Beesdo K, et al Supplementary dimensional assessment in anxiety disorders. Int J Methods Psychiatr Res. 2007;16(Suppl 1):S52–64.[PubMed][Google Scholar]
  • 40. Yonkers KA, Bruce SE, Dyck IR, et al Chronicity, relapse, and illness—course of panic disorder, social phobia, and generalized anxiety disorder: findings in men and women from 8 years of follow-up. Depress Anxiety. 2003;17(3):173–9.[PubMed][Google Scholar]
  • 41. Bruce SE, Yonkers KA, Otto MW, et al Influence of psychiatric comorbidity on recovery and recurrence in generalized anxiety disorder, social phobia, and panic disorder: a 12-year prospective study. Am J Psychiatry. 2005;162:1179–87.[Google Scholar]
  • 42. Blazer DG, Hughes D, George LK, et al. Generalized anxiety disorder. In: Robins LN, Regier DA, editors. Psychiatric disorders in America: the Epidemiologic Catchment Area Study. New York: The Free Press; 1991. pp. 180–203. [PubMed]
  • 43. Woodman CL, Noyes R, Black DW, et al A 5-year follow-up study of generalized anxiety disorder and panic disorder. J Nerv Ment Dis. 1999;187:3–9.[PubMed][Google Scholar]
  • 44. Beesdo K, Knappe S, Höfler M, et al. Stability and persistence of anxiety disorders among youth. A prospective-longitudinal community study. Eur Neuropsychopharmacol. in press. [PubMed]
  • 45. Wittchen H-U, Lieb R, Pfister H, et al The waxing and waning of mental disorders: evaluating the stability of syndromes of mental disorders in the population. Compr Psychiatry. 2000;41(2 Suppl 1):122–32.[PubMed][Google Scholar]
  • 46. Gregory AM, Caspi A, Moffitt TE, et al Juvenile mental health histories of adults with anxiety disorders. Am J Psychiatry. 2007;164(2):301–8.[PubMed][Google Scholar]
  • 47. Angst J, Vollrath MThe natural history of anxiety disorders. Acta Psychiatr Scand. 1991;84:446–52.[PubMed][Google Scholar]
  • 48. Merikangas KR, Avenevoli S, Acharyya S, et al The spectrum of social phobia in the Zurich Cohort Study of young adults. Biol Psychiatry. 2002;51:81–91.[PubMed][Google Scholar]
  • 49. Pine DS, Klein RG. Anxiety disorders. In: Rutter M, editor. Rutter’s child and adolescent psychiatry. John Wiley &amp; Sons; 2008. pp. 628–46. [PubMed]
  • 50. Last CG, Hansen C, Franco NAnxious children in adulthood: a prospective study of adjustment. J Am Acad Child Adolesc Psychiatry. 1997;36(5):645–52.[PubMed][Google Scholar]
  • 51. Beesdo K, Wittchen HU, Hoefler M, et al Risk factors for generalized anxiety: a prospective-longitudinal epidemiological study of adolescents and young adults. Eur Neuropsychopharmacol. 2006;16(Suppl 4):s453.[PubMed][Google Scholar]
  • 52. Emmelkamp PMG, Wittchen HU. Specific phobias. In: Andrews G, Charney DS, Sirovatka PJ, et al., editors. Stress-induced and fear circuitry disorders. Refining the research agenda for DSM-V. Arlington (VA): APA; 2009. pp. 77–101. [PubMed]
  • 53. Wittchen H-UDer Langzeitverlauf unbehandelter Angststörungen: Wie häufigsind Spontanremissionen? [The long-term course and outcome of untreated anxiety disorders: How frequent are spontaneous remissions?] Verhaltenstherapie. 1991;1(4):273–82.[PubMed][Google Scholar]
  • 54. Wittchen H-U, Lecrubier Y, Beesdo K, et al. Relationships among anxiety disorders: patterns and implications. In: Nutt DJ, Ballenger JC, editors. Anxiety disorders. Oxford: Blackwell Science; 2003. pp. 25–37. [PubMed]
  • 55. Woodward LJ, Fergusson DMLife course outcomes of young people with anxiety disorders in adolescence. J Am Acad Child Adolesc Psychiatry. 2001;40(9):1086–93.[PubMed][Google Scholar]
  • 56. Fergusson DM, Woodward LJMental health, educational, and social role outcomes of adolescents with depression. Arch Gen Psychiatry. 2002;59:225–31.[PubMed][Google Scholar]
  • 57. Kessler RC, Nelson CB, McGonagle KA, et al Comorbidity of DSM-III-R major depressive disorder in the general population: results from the US National Comorbidity Survey. Br J Psychiatry. 1996;168:17–30.[PubMed][Google Scholar]
  • 58. Kessler RC, Stang P, Wittchen H-U, et al. Lifetime comorbidities between social phobia and mood disorders in the U.S. National Comorbidity Survey. Psychol Med. 1999;29(3):555–67.[PubMed]
  • 59. Pine DS, Cohen P, Brook JAdolescent fears as predictors of depression. Biol Psychiatry. 2001;50(9):721–4.[PubMed][Google Scholar]
  • 60. Stein MB, Fuetsch M, Müller N, et al. Social anxiety disorder and the risk of depression. A prospective community study of adolescents and young adults. Arch Gen Psychiatry. 2001;58:251–6.[PubMed]
  • 61. Bittner A, Goodwin RD, Wittchen H-U, et al What characteristics of primary anxiety disorders predict subsequent major depressive disorder? J Clin Psychiatry. 2004;65(5):618–26.[PubMed][Google Scholar]
  • 62. Goodwin RD, Lieb R, Höfler M, et al Panic attack as a risk factor for severe psychopathology. Am J Psychiatry. 2004;161:2207–14.[PubMed][Google Scholar]
  • 63. Kessler RC, Crum RM, Warner LA, et al Lifetime co-occurrence of DSM-III-R alcohol abuse and dependence with other psychiatric disorders in the National Comorbidity Survey. Arch Gen Psychiatry. 1997;54:313–21.[PubMed][Google Scholar]
  • 64. Merikangas KR, Mehta RL, Molnar BE, et al Comorbidity of substance use disorders with mood and anxiety disorders: results of the international consortium in psychiatric epidemiology. Addict Behav. 1998;23:893–907.[PubMed][Google Scholar]
  • 65. Zimmermann P, Wittchen HU, Höfler M, et al Primary anxiety disorders and the development of subsequent alcohol use disorders: a 4-year community study of adolescents and young adults. Psychol Med. 2003;33:1211–22.[PubMed][Google Scholar]
  • 66. Brückl T, Wittchen H-C, Höfler M, et al Childhood separation anxiety and the risk for subsequent psychopathology: results from a community study. Psychother Psychosom. 2007;76(1):47–56.[PubMed][Google Scholar]
  • 67. Crum RM, Pratt LARisk of heavy drinking and alcohol use disorders in social phobia: a prospective analysis. Am J Psychiatry. 2001;158(10):1693–700.[PubMed][Google Scholar]
  • 68. Kim-Cohen J, Caspi A, Moffitt TE, et al Prior juvenile diagnoses in adults with mental disorder. Arch Gen Psychiatry. 2003;60:709–17.[PubMed][Google Scholar]
  • 69. Kessler RC, Chiu WT, Demler O, et al Prevalence, severity, and comorbidity of 12-month DSM-IV disorders in the National Comorbidity Survey Replication. Arch Gen Psychiatry. 2005;62:617–27.[Google Scholar]
  • 70. Wittchen H-U, Frohlich C, Behrendt S, et al Cannabis use and cannabis use disorders and their relationship to mental disorders: a 10-year prospective-longitudinal community study in adolescents. Drug Alcohol Depend. 2007;88(Suppl 1):S60–70.[PubMed][Google Scholar]
  • 71. Krueger RFThe structure of common mental disorders. Arch Gen Psychiatry. 1999;56:921–6.[PubMed][Google Scholar]
  • 72. Cox BJ, Clara IP, Enns MWPosttraumatic stress disorder and the structure of common mental disorders. Depress Anxiety. 2002;15:168–71.[PubMed][Google Scholar]
  • 73. Vollebergh WAM, Iedema J, Bijl RV, et al. The structure and stability of common mental disorders. The NEMESIS Study. Arch Gen Psychiatry. 2001;58:597–603.[PubMed]
  • 74. Slade T, Watson DThe structure of common DSM-IV and ICD-10 mental disorders in the Australian general population. Psychol Med. 2006;36:1593–600.[PubMed][Google Scholar]
  • 75. Watson DRethinking the mood and anxiety disorders: a quantitative hierarchical model for DSM-V. J Abnorm Psychol. 2005;114(4):522–36.[PubMed][Google Scholar]
  • 76. Krueger RF, Caspi A, Moffitt TE, et al The structure and stability of common mental disorders (DSM-III-R): a longitudinal-epidemiological study. J Abnorm Psychol. 1998;107:216–27.[PubMed][Google Scholar]
  • 77. Beesdo K, Höfler M, Gloster AT, et al The structure of common mental disorders: a replication study in a community sample of adolescents and young adults submitted.[PubMed][Google Scholar]
  • 78. Wittchen H-U, Beesdo K, Gloster AAnxiety disorders: all the same or sufficiently different? Psychiatr Clin North Am. in press. [PubMed]
  • 79. Wittchen H-U, Beesdo K, Gloster AT, et al The structure of mental disorders reexamined: Is it developmentally stable and robust against additions? Int J Methods Psychiatr Res. in press. [[PubMed]
  • 80. Kraemer HC, Kazdin AE, Offord DR, et al Coming to terms with the terms of risk. Arch Gen Psychiatry. 1997;54(4):337–43.[PubMed][Google Scholar]
  • 81. Cohen P, Cohen JThe clinician’s illusion. Arch Gen Psychiatry. 1984;41(12):1178–82.[PubMed][Google Scholar]
  • 82. Costello EJ, Mustillo S, Erkanli A, et al Prevalence and development of psychiatric disorders in childhood and adolescence. Arch Gen Psychiatry. 2003;60:837–44.[PubMed][Google Scholar]
  • 83. Kringlen E, Torgersen S, Cramer VA Norwegian psychiatric epidemiological study. Am J Psychiatry. 2001;158(7):1091–8.[PubMed][Google Scholar]
  • 84. Meyer C, Rumpf H-J, Hapke U, et al. Lebenszeitprävalenz psychischer Störungen in der erwachsenen Allgemeinbevölkerung. Ergebnisse der TACOS-Studie. [Lifetime prevalence of mental disorders in the adult population: findings from the TACOS study] Nervenarzt. 2000;71:535–42.[PubMed]
  • 85. Canino G, Shrout PE, Rubio-Stipec M, et al The DSM-IV rates of child and adolescent disorders in Puerto Rico. Arch Gen Psychiatry. 2004;61:85–93.[PubMed][Google Scholar]
  • 86. Vega WA, Kolody B, Aguilar-Gaxiola S, et al Lifetime prevalence of DSM-III-R psychiatric disorders among urban and rural Mexican Americans in California. Arch Gen Psychiatry. 1998;55:771–8.[PubMed][Google Scholar]
  • 87. Costello EJ, Compton SN, Keeler G, et al Relationships between poverty and psychopathology: a natural experiment. JAMA. 2003;290(15):2023–9.[PubMed][Google Scholar]
  • 88. Merikangas KR, Avenevoli S, Dierker L, et al Vulnerability factors among children at risk for anxiety disorders. Biol Psychiatry. 1999;46(11):1523–35.[PubMed][Google Scholar]
  • 89. Lieb R, Wittchen H-U, Höfler M, et al Parental psychopathology, parenting styles, and the risk for social phobia in offspring: a prospective-longitudinal community study. Arch Gen Psychiatry. 2000;57:859–66.[PubMed][Google Scholar]
  • 90. Hettema JM, Neale MC, Kendler KSA review and meta-analysis of the genetic epidemiology of anxiety disorders. Am J Psychiatry. 2001;158(10):1568–78.[PubMed][Google Scholar]
  • 91. Johnson JG, Cohen P, Kasen S, et al Parental concordance and offspring risk for anxiety, conduct, depressive, and substance use disorders. Psychopathology. 2008;41:124–8.[PubMed][Google Scholar]
  • 92. Wittchen H-U, Kessler RC, Pfister H, et al Why do people with anxiety disorders become depressed? A prospective-longitudinal community study. Acta Psychiatr Scand. 2000;102(Suppl 406):14–23.[PubMed][Google Scholar]
  • 93. Schreier A, Wittchen HU, Höfler M, et al Anxiety disorders in mothers and their children: prospective longitudinal community study. Br J Psychiatry. 2008;129:308–9.[PubMed][Google Scholar]
  • 94. Lieb R, Isensee B, Höfler M, et al Parental major depression and the risk of depressive and other mental disorders in offspring: a prospective-longitudinal community study. Arch Gen Psychiatry. 2002;59:365–74.[PubMed][Google Scholar]
  • 95. Weissman MM, Wickramaratne P, Nomura Y, et al Offspring of depressed parents: 20 years later. Am J Psychiatry. 2006;163:1001–8.[PubMed][Google Scholar]
  • 96. Kendler KS, Davis CG, Kessler RCThe familial aggregation of common psychiatric and substance use disorders in the National Comorbidity Survey: a family history study. Br J Psychiatry. 1997;170:541–8.[PubMed][Google Scholar]
  • 97. Klein DN, Lewinsohn PM, Rohde P, et al Family study of comorbidity between major depressive disorder and anxiety disorders. Psychol Med. 2003;33:703–14.[PubMed][Google Scholar]
  • 98. Moffitt TE, Caspi A, Harrington H, et al Generalized anxiety disorder and depression: childhood risk factors in a birth cohort followed to age 32. Psychol Med. 2007;37:441–52.[PubMed][Google Scholar]
  • 99. Knappe S, Lieb R, Beesdo K, et al The role of parental psychopathology and family environment for social phobia in the first three decades of life. Depress Anxiety. 2009;26(4):363–70.[PubMed][Google Scholar]
  • 100. Fyer AJ, Mannuzza S, Chapman TF, et al Specificity in familial aggregation of phobic disorders. Arch Gen Psychiatry. 1995;52:564–73.[PubMed][Google Scholar]
  • 101. Hettema JM, Prescott CA, Myers JM, et al The structure of genetic and environmental risk factors for anxiety disorders in men and women. Arch Gen Psychiatry. 2005;62:182–9.[PubMed][Google Scholar]
  • 102. Scherrer JF, True WR, Xian H, et al Evidence for genetic influences common and specific to symptoms of generalized anxiety and panic. J Affect Disord. 2000;57(1–3):25–35.[PubMed][Google Scholar]
  • 103. Kendler KS. Major depression and generalised anxiety disorder. Same genes, (partly) different environments—revisited. Br J Psychiatry. 1996;168(suppl 30):68–75.[PubMed]
  • 104. Kendler KS, Neale MC, Kessler RC, et al Major depression and generalized anxiety disorder: same genes, (partly) different environments? Arch Gen Psychiatry. 1992;49:716–22.[PubMed][Google Scholar]
  • 105. LeDoux JEEmotion circuits in the brain. Annu Rev Neurosci. 2000;23:155–84.[PubMed][Google Scholar]
  • 106. Guyer AE, Lau JYF, McClure-Tone EB, et al Amygdala and ventrolateral prefrontal cortex function during anticipated peer evaluation in pediatric social anxiety. Arch Gen Psychiatry. 2008;65(11):1303–12.[Google Scholar]
  • 107. McClure EB, Monk CS, Nelson EE, et al Abnormal attention modulation of fear circuit function in pediatric generalized anxiety disorder. Arch Gen Psychiatry. 2007;64(1):97–106.[PubMed][Google Scholar]
  • 108. Thomas KM, Drevets WC, Dahl RE, et al Amygdala response to fearful faces in anxious and depressed children. Arch Gen Psychiatry. 2001;58:1057–63.[PubMed][Google Scholar]
  • 109. Beesdo K, Lau JYF, Guyer AE, et al Common and distinct amygdala-function perturbations in depressed vs anxious adolescents. Arch Gen Psychiatry. 2009;66(3):275–85.[Google Scholar]
  • 110. Schwartz C, Wright C, Shin L, et al Inhibited and uninhibited infants “grown up”: adult amygdalar response to novelty. Science. 2003;300(5627):1952–3.[PubMed][Google Scholar]
  • 111. Pérez-Edgar K, Roberson-Nay R, Hardin M, et al Attention alters neural responses to evocative faces in behaviorally inhibited adolescents. Neuroimage. 2007;35(4):1538–46.[Google Scholar]
  • 112. McClure E, Adler A, Monk C, et al fMRI predictors of treatment outcome in pediatric anxiety disorders. Psychopharmacology. 2007;191:97–105.[PubMed][Google Scholar]
  • 113. Clark LA, Watson DTripartite model of anxiety and depression: psychometric evidence and taxonomic implications. J Abnorm Psychol. 1991;100(3):316–36.[PubMed][Google Scholar]
  • 114. Clark DA, Steer RA, Beck ATCommon and specific dimensions of self-reported anxiety and depression: implications for the cognitive and tripartite models. J Abnorm Psychol. 1994;103:645–54.[PubMed][Google Scholar]
  • 115. Zinbarg RE, Barlow DHStructure of anxiety and the anxiety disorders: a hierarchical model. J Abnorm Psychol. 1996;105(2):181–93.[PubMed][Google Scholar]
  • 116. Brown TA, Chorpita BF, Barlow DHStructural relationships among dimensions of the DSM-IV anxiety and mood disorders and dimensions of negative affect, positive affect, and autonomic arousal. J Abnorm Psychol. 1998;107(2):179–92.[PubMed][Google Scholar]
  • 117. Chorpita BFThe tripartite model and dimensions of anxiety and depression: an examination of structure in a large school sample. J Abnorm Child Psychol. 2002;30(2):177–90.[PubMed][Google Scholar]
  • 118. Mineka S, Watson D, Clark LAComorbidity of anxiety and unipolar mood disorders. Annu Rev Psychol. 1998;49:377–412.[PubMed][Google Scholar]
  • 119. Hettema JM, Neale MC, Myers JM, et al A population-based twin study of the relationship between neuroticism and internalizing disorders. Am J Psychiatry. 2006;163:857–64.[PubMed][Google Scholar]
  • 120. Khan AA, Jacobson KC, Gardner CO, et al Personality and comorbidity of common psychiatric disorders. Br J Psychiatry. 2005;186:190–6.[PubMed][Google Scholar]
  • 121. Hayward C, Killen JD, Kraemer HC, et al Predictors of panic attacks in adolescents. J Am Acad Child Adolesc Psychiatry. 2000;39(2):207–14.[PubMed][Google Scholar]
  • 122. de Graaf R, Bijl RV, Ravelli A, et al Predictors of first incidence of DSM-III-R psychiatric disorders in the general population: findings from the Netherlands Mental Health Survey and incidence study. Acta Psychiatr Scand. 2002;106:303–13.[PubMed][Google Scholar]
  • 123. Kagan JTemperamental contributions to social behavior. Am Psychol. 1989;44(4):668–74.[PubMed][Google Scholar]
  • 124. Robinson JL, Kagan J, Reznick JS, et al The heritability of inhibited and uninhibited behavior: a twin study. Dev Psychol. 1992;28:1030–7.[PubMed][Google Scholar]
  • 125. Smoller JW, Rosenbaum JF, Biederman J, et al Association of a genetic marker at the corticotropin-releasing hormone locus with behavioral inhibition. Biol Psychiatry. 2003;54(12):1376–81.[PubMed][Google Scholar]
  • 126. Biederman J, Hirshfeld-Becker DR, Rosenbaum JF, et al Further evidence of association between behavioral inhibition and social anxiety in children. Am J Psychiatry. 2001;158(10):1673–9.[PubMed][Google Scholar]
  • 127. Johnson SL, Turner RJ, Iwata NBIS/BAS levels and psychiatric disorder: an epidemiological study. J Psychopathol Behav Assess. 2003;25(1):25–36.[PubMed][Google Scholar]
  • 128. Caspi A, Moffitt TE, Newman DL, et al Behavioral observations at age 3 years predict adult psychiatric disorders. Arch Gen Psychiatry. 1996;53:1033–9.[PubMed][Google Scholar]
  • 129. Rohrbacher H, Hoyer J, Beesdo K, et al. Psychometric properties of the Retrospective Self Report of Inhibition (RSRI) in a representative German sample. Submitted to IJMPR in February 2007. Int J Methods Psychiatr Res. 2008;17(2):80–8.[PubMed]
  • 130. Hayward C, Killen JD, Kraemer HC, et al Linking self-reported childhood behavioral inhibition to adolescent social phobia. J Am Acad Child Adolesc Psychiatry. 1998;37:1308–16.[PubMed][Google Scholar]
  • 131. Mick MA, Telch MJSocial anxiety and history of behavioral inhibition in young adults. J Anxiety Disord. 1998;12(1):1–20.[PubMed][Google Scholar]
  • 132. Schwartz CE, Snidman N, Kagan JAdolescent social anxiety as an outcome of inhibited temperament in childhood. J Am Acad Child Adolesc Psychiatry. 1999;38(8):1008–15.[PubMed][Google Scholar]
  • 133. Rapee RMPotential role of childrearing practices in the development of anxiety and depression. Clin Psychol Rev. 1997;17(1):47–67.[PubMed][Google Scholar]
  • 134. Kendler KS, Myers J, Prescott CAParenting and adult mood, anxiety and substance use disorders in female twins: an epidemiological, multi-informant, retrospective study. Psychol Med. 2000;30:281–94.[PubMed][Google Scholar]
  • 135. Rueter MA, Scaramella L, Wallace LE, et al First onset of depressive or anxiety disorders predicted by the longitudinal course of internalizing symptoms and parent-adolescent disagreements. Arch Gen Psychiatry. 1999;56:726–32.[PubMed][Google Scholar]
  • 136. Wood JJ, McLeod BD, Sigman M, et al Parenting and childhood anxiety: theory, empirical findings, and future directions. J Child Psychol Psychiatry. 2003;44:134–51.[PubMed][Google Scholar]
  • 137. Pine DS, Klein RG. Anxiety disorders. In: Rutter M, Bishop D, Pine DS, Scott S, Stevenson J, Taylor E, Thapar A, editors. Rutter’s child and adolescent psychiatry. 5. Oxford: Blackwell Publishing; 2008. pp. 628–69. [PubMed]
  • 138. Ollendick TH, Vasey MW, King NJ, et al The developmental psychopathology of anxiety. New York: Oxford University Press; 2001. Operant conditioning influences in childhood anxiety; pp. 231–52. [PubMed][Google Scholar]
  • 139. Muris P, Steerneman P, Merckelbach H, et al The role of parental fearfulness and modeling in children. Behav Res Ther. 1996;34(3):265–8.[PubMed][Google Scholar]
  • 140. Gerull F, Rapee RMMother knows best: effects of maternal modelling on the acquisition of fear and avoidance behavior in toddlers. Behav Res Ther. 2002;40:279–87.[PubMed][Google Scholar]
  • 141. Bögels SM, van Dongen L, Muris PUFamily influences on dysfunctional thinking in anxious children. Infant Child Dev. 2003;12(3):243–52.[PubMed][Google Scholar]
  • 142. de Rosnay M, Cooper PJ, Tsigaras N, et al Transmission of social anxiety from mother to infant: an experimental study using a social referencing paradigm. Behav Res Ther. 2006;44:1165–75.[PubMed][Google Scholar]
  • 143. Rutter MThe interplay of nature, nurture, and development influences. Arch Gen Psychiatry. 2002;59:996–1000.[PubMed][Google Scholar]
  • 144. Kessler RC, Davis CG, Kendler KSChildhood adversity and adult psychiatric disorder in the US National Comorbidity Survey. Psychol Med. 1997;27:1101–19.[PubMed][Google Scholar]
  • 145. Bijl RV, Ravelli A, Van Zessen GPrevalence of psychiatric disorder in the general population: results of the Netherlands Mental Health Survey and Incidence Study (NEMESIS) Soc Psychiatry Psychiatr Epidemiol. 1998;33:587–95.[PubMed][Google Scholar]
  • 146. Fergusson DM, Horwood J, Lynskey MT. Childhood sexual abuse and psychiatric disorder in young adulthood. II. Psychiatric outcomes of childhood sexual abuse. J Am Acad Child Adolesc Psychiatry. 1996;35(10):1365–74.[PubMed]
  • 147. Dinwiddie S, Heath AC, Dunne MP, et al Early sexual abuse and lifetime psychopathology: a co-twin-control study. Psychol Med. 2000;30:41–52.[PubMed][Google Scholar]
  • 148. MacMillan HL, Fleming JE, Streiner DL, et al Childhood abuse and lifetime psychopathology in a community sample. Am J Psychiatry. 2001;158(11):1878–83.[PubMed][Google Scholar]
  • 149. Pine DS, Cohen P, Johnson J, et al Adolescent life events as predictors of adult depression. J Affect Disord. 2002;68:49–57.[PubMed][Google Scholar]
  • 150. Friis RH, Wittchen H-U, Pfister H, et al Life events and changes in the course of depression in young adults. Eur Psychiatry. 2002;17(5):241–53.[PubMed][Google Scholar]
  • 151. Perkonigg A, Kessler RC, Storz S, et al Traumatic events and post-traumatic stress disorder in the community: prevalence, risk factors and comorbidity. Acta Psychiatr Scand. 2000;101(1):46–59.[PubMed][Google Scholar]
  • 152. Finlay-Jones R, Brown GWTypes of stressful life event and the onset of anxiety and depressive disorders. Psychol Med. 1981;11:803–15.[PubMed][Google Scholar]
  • 153. Kendler KS, Neale MC, Kessler RC, et al Childhood parental loss and adult psychopathology in women—a twin study perspective. Arch Gen Psychiatry. 1992;49:109–16.[PubMed][Google Scholar]
  • 154. Kendler KS, Karkowski LM, Prescott CAStressful life events and major depression: risk period, long-term contextual threat, and diagnostic specificity. J Nerv Ment Dis. 1998;186(11):661–9.[PubMed][Google Scholar]
  • 155. Kendler KS, Hettema JM, Butera F, et al Life event dimensions of loss, humiliation, entrapment, and danger in the prediction of onsets of major depression and generalized anxiety. Arch Gen Psychiatry. 2003;60:789–96.[PubMed][Google Scholar]
  • 156. Leonardo ED, Hen RAnxiety as developmental disorder. Neuropsychopharmacology. 2008;33:134–40.[PubMed][Google Scholar]
  • 157. Lau JYF, Pine DSElucidating risk mechanisms of gene-environment interactions on pediatric anxiety: integrating findings from neuroscience. Eur Arch Psychiatry Clin Neurosci. 2008;258:97–106.[PubMed][Google Scholar]
  • 158. Rutter M, Moffit TE, Caspi AGene-environment interplay and psychopathology: multiple varieties but real effects. J Child Psychol Psychiatry. 2006;47(3):226–61.[PubMed][Google Scholar]
  • 159. Andrews G, Goldberg DP, Krueger RF, et al Exploring the feasibility of a meta-structure for DSM-V and ICD-11: could it improve utility and validity? Psychol Med. in press. [[PubMed]
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