Personality Dimensions as Common and Broadband-Specific Features for Internalizing and Externalizing Disorders

Several researchers have suggested that the nature of the covariation between internalizing and externalizing disorders may be understood better by examining the associations between temperament or personality and these disorders. The present study examined neuroticism as a potential common feature underlying both internalizing and externalizing disorders and novelty seeking as a potential broad-band specific feature influencing externalizing disorders alone. Participants were 12- to 18-year-old twin pairs (635 monozygotic twin pairs and 691 dizygotic twin pairs; 48 % male and 52 % female) recruited from the Colorado Center for Antisocial Drug Dependence. Genetic and nonshared environmental influences shared in common with neuroticism influenced the covariation among distinct internalizing disorders, the covariation among distinct externalizing disorders, and the covariation between internalizing and externalizing disorders. Genetic influences shared in common with novelty seeking influenced the covariation among externalizing disorders and the covariation between major depressive disorder and externalizing disorders, but not the covariation among internalizing disorders or between anxiety disorders and externalizing disorders. Also, after accounting for genetic and environmental influences shared in common with neuroticism and novelty seeking, there were no significant common genetic or environmental influences among the disorders examined, suggesting that the covariance among the disorders is sufficiently explained by neuroticism and novelty seeking. We conclude that neuroticism is a heritable common feature of both internalizing disorders and externalizing disorders, and that novelty seeking is a heritable broad-band specific factor that distinguishes anxiety disorders from externalizing disorders.     

Family therapy and psychopathology: developments in research and approaches to treatment

The impact of family approaches in understanding and treating psychopathology is reviewed for the following disorders: schizophrenia, mood disorders, anxiety disorders, psychoactive substance use disorders, eating disorders, and conduct disorders in children. Family-oriented interventions are concluded to be useful in treating disorders when applied flexibly and multi-dimensionally and when used in conjunction with psychopharmacological or other valid individual treatment approaches.     

Child and adolescent development: common mental disorders according to age and gender

Despite the increase in the incidence and prevalence rates of children and adolescents' mental disorders, there are few works performed with large and representative samples of children and adolescents with psychopathological symptoms. The present work analyses 588 participants referred by first care pediatricians to a specialized unit for children and adolescents' mental health. As a result of the study, a statistically significant relation was found between age and diagnosis: a larger incidence of behavioral disorders, communication disorders, elimination disorders, pervasive developmental disorders, impulse-control disorders from 0 to 5 years; behavioral disorders and attention deficit hyperactivity disorder (ADHD) were more common from 6 to 11 years, behavioral and anxiety disorders were more likely at 12 to 15 years; and, lastly, behavioral disorders were more prevalent from 16 to 18 years. With respect to gender, there was a significant relationship with diagnosis: boys had more behavioral disorders, whereas girl had more anxiety disorders. To conclude, a relationship between mental disorders and developmental achievements could be indicated in the younger group. Additionally, externalizing disorders in boys and internalizing ones n girls were more prevalent across all ages.     

How do personality disorders modify suicide risk?

There is a lack of psychological autopsy studies assessing the influence of axis II disorders on other risk factors for suicide. Therefore, we investigated if the estimated suicide risk for axis I disorders and socio-demographic factors was modified by personality disorders. Psychiatric disorders were evaluated by a semi-structured interview including the Structured Clinical Interview for DSM-IV Axis I (SCID-I) and Personality Disorders (SCID-II) by psychological autopsy method in 163 completed suicides and by personal interview in 396 population-based control persons. Personality disorders modify suicide risk, differently for affective disorders, substance use disorders, smoking, life events during the last three months, and socio-demographic factors such as being single. Estimated suicide risk for socio-demographic factors and life events is not substantially altered following adjustment for affective disorders or substance use disorders. These findings suggest that treatment of personality disorders is essential for suicide prevention.     

The longitudinal relationship of personality traits and disorders

Personality disorders are presumed to be stable because of underlying stable and maladaptive personality traits, but while previous research has demonstrated a link between personality traits and personality disorders cross-sectionally, personality disorders and personality traits have not been linked longitudinally. This study explores the extent to which relevant personality traits are stable in individuals diagnosed with 4 personality disorders (schizotypal, borderline, avoidant, and obsessive-compulsive personality disorders) and examines the assumption that these personality disorders are stable by virtue of stable personality traits. This assumption was tested via the estimation of a series of latent longitudinal models that evaluated whether changes in relevant personality traits lead to subsequent changes in personality disorders. In addition to offering large consistency estimates for personality traits and personality disorders, the results demonstrate significant cross-lagged relationships between trait change and later disorder change for 3 of the 4 personality disorders studied.     

Cluster A Personality Disorders: Schizotypal,Schizoid and Paranoid Personality Disorders in Childhood and Adolescence

Cluster A personality disorders (PD), including schizotypal personality disorder (SPD), paranoid personality disorder (PPD), and schizoid PD, are marked by odd and eccentric behaviors, and are grouped together because of common patterns in symptomatology as well as shared genetic and environmental risk factors. The DSM-IV-TR describes personality disorders as representing stable and enduring patterns of maladaptive traits, and much of what is understood about Cluster A personality disorders in particular stems from research with adult populations. Less in known about these disorders in children and adolescents, and controversy remains regarding diagnosis of personality disorders in general in youth. The current paper reviews the available research on Cluster A personality disorders in childhood and adolescence; specifically, we discuss differentiating between the three disorders and distinguishing them from other syndromes, measuring Cluster A disorders in youth, and the nature and course of these disorders throughout childhood and adolescence. We also present recent longitudinal data from a sample of adolescents diagnosed with Cluster A personality disorders from our research laboratory, and suggest directions for future research in this important but understudied area.     

Relationship Between Specific Adverse Life Events and Psychiatric Disorders

This study examines whether certain psychiatric disorders are associated more closely with adverse life events than other disorders are, and whether some adverse life events are associated with a specific group of disorders (e.g., depressive disorders), but not with other disorders (e.g., anxiety disorders). A probability sample of youth aged 9–17 at 4 sites is used (N = 1,285). Univariate and multivariate logistic regressions identify specific relationships between 25 adverse life events and 9 common child and adolescent psychiatric disorders, measured by the Diagnostic Interview Schedule for Children. Conduct Disorder, Oppositional Defiant Disorder, Major Depressive Disorder, and Dysthymia are significantly associated with many of the adverse life events examined, whereas Attention Deficit/Hyperactivity Disorder, Agoraphobia, and Social Phobia are related to very few. This study suggests that certain psychiatric disorders may be more closely associated with adverse life events than other psychiatric disorders are, and that some adverse life events seem to be related to specific types of disorders.     

Abh?ngigkeitserkrankungen und Pers?nlichkeitsst?rungen

Substance use disorders and personality disorders often co-occur in clinical treatment. In this review the association between substance use disorders and personality disorders is described and discussed. Clinical and neurobiological data as well as psychodynamic concepts are included to focus on the therapeutic implications for patients with these comorbidities. The consumption of substances often begins as a kind of self-medication. Patients suffering from severe personality disorders need these substance effects to avoid severe destructive affects and to regulate their self-esteem. Patients with chronic substance dependence often show changes in brain structure. In the dependency stage of addiction clinical symptoms can make the diagnosis of a specific personality disorder very difficult. The treatments can be classified by the severity of substance use disorders and personality disorders. Substance misuse can be treated with psychotherapy. In substance dependence, specific forms of addiction therapy should be included. In patients with the frequent comorbidity of substance use disorders and severe personality disorders, disorder-specific treatment can be used with good results.     

An Evolutionary Life History Framework for Psychopathology

In this article, I outline a general framework for the evolutionary analysis of mental disorders based on the concepts of life history theory. I synthesize and extend a large body of work showing that individual differences in life history strategy set the stage for the development of psychopathology. My analysis centers on the novel distinction between fast spectrum and slow spectrum disorders. I describe four main causal pathways from life history strategies to psychopathology, argue that psychopathology can arise at both ends of the fast–slow continuum of life history variation, and provide heuristic criteria for classifying disorders as fast or slow spectrum pathologies. I then apply the fast–slow distinction to a diverse sample of common mental disorders: externalizing disorders, schizophrenia and autism spectrum disorders, obsessive-compulsive disorders, eating disorders, and depression. The framework integrates previously disconnected models of psychopathology within a common frame of reference and has far-reaching implications for the classification of mental disorders.     

Perceived dysfunction of male-typed and female-typed DSM-IV personality disorder criteria

To determine whether female-typed personality disorders are associated with a different pattern of dysfunction than male-typed disorders, lay judges (N = 216) estimated the amount of social impairment, occupational impairment, and personal distress related to symptoms of personality disorders. Results for both the subset of six disorders originally rated by clinician judges in the research of Funtowicz and Widiger (1999) and for a larger set of nine disorders revealed a pattern originally reported by Funtowicz and Widiger where female-typed disorders were associated with relatively higher ratings of personal distress, whereas male-typed disorders were associated with relatively higher ratings of social (and sometimes occupational) impairment. Findings are discussed with respect to the emphasis of different forms of dysfunction for male- and female-typed disorders, lay versus clinician judgments, and directions for future research.     

Anxiety disorders in late life: an evolving picture

Although anxiety disorders are the most prevalent group of disorders in the United States, little is known about the efficacy of treatments for these disorders in elderly patients. Anxiety disorders, especially generalized anxiety disorder and phobias, are highly prevalent in older people. Anxiety symptoms and disorders are associated with increased mortality and disability in older people. Risk factors for anxiety disorders include chronic medical illness, disability, low education, low social network, and poor social support. The newer antidepressant medications, in particular the selective serotonin reuptake inhibitors and venlafaxine-extended relief, are recommended as first-line pharmacotherapy of these disorders in elderly. Cognitive-behavioral therapy is recommended as first-line psychotherapy for these disorders. However, these recommendations are based on extrapolation of data from younger adults or retrospective analysis of datasets, the results need to be confirmed with controlled studies in an elderly age group.     

Recognition of Facial Expressions of Emotion by Children with Emotional and Behavioral Disorders

Interpreting and responding appropriately to facial expressions of emotion are important aspects of social skills. Some children, adolescents, and adults with various psychological and psychiatric disorders recognize facial expressions less proficiently than their peers in the general population. We wished to determine if such deficits existed in a group of 133 children and adolescents with emotional and behavioral disorders (EBD). The subjects were receiving in-patient psychiatric services for at least one of substance-related disorders, adjustment disorders, anxiety disorders, mood disorders or disruptive behavior disorders. After being read stories describing various emotional reactions, all subjects were tested for their ability to recognize the 6 basic facial expressions of emotion depicted in Ekman and Friesen's (1976) normed photographs. Overall, they performed well on this task at levels comparable to those occurring in the general population. Accuracy increased with age, irrespective of gender, ethnicity, or clinical diagnosis. After adjusting for age effects, the subjects diagnosed with either adjustment disorders, mood disorders, or disruptive behavior disorders were significantly more accurate at identifying anger than those without those diagnoses. In addition, subjects with mood disorders identified sadness significantly more accurately than those without this diagnosis, although the effect was greatest with younger children.     

Mental Health Clinicians' Beliefs About the Biological, Psychological, and Environmental Bases of Mental Disorders

The current experiments examine mental health clinicians' beliefs about biological, psychological, and environmental bases of the DSM-IV-TR mental disorders and the consequences of those causal beliefs for judging treatment effectiveness. Study 1 found a large negative correlation between clinicians' beliefs about biological bases and environmental/psychological bases, suggesting that clinicians conceptualize mental disorders along a single continuum spanning from highly biological disorders (e.g., autistic disorder) to highly nonbiological disorders (e.g., adjustment disorders). Study 2 replicated this finding by having clinicians list what they thought were the specific causes of nine familiar mental disorders and rate their bio–psycho–environmental bases. Study 3 further found that clinicians believe medication to be more effective for biologically based mental disorders and psychotherapy to be more effective for psychosocially based mental disorders. These results demonstrate that even expert mental health clinicians make strong distinctions between psychological and biological phenomena.     

The joint structure of DSM-IV Axis I and Axis II disorders

The Diagnostic and Statistical Manual (4th ed. [DSM-IV]; American Psychiatric Association, 1994) distinction between clinical disorders on Axis I and personality disorders on Axis II has become increasingly controversial. Although substantial comorbidity between axes has been demonstrated, the structure of the liability factors underlying these two groups of disorders is poorly understood. The aim of this study was to determine the latent factor structure of a broad set of common Axis I disorders and all Axis II personality disorders and thereby to identify clusters of disorders and account for comorbidity within and between axes. Data were collected in Norway, through a population-based interview study (N = 2,794 young adult twins). Axis I and Axis II disorders were assessed with the Composite International Diagnostic Interview (CIDI) and the Structured Interview for DSM-IV Personality (SIDP-IV), respectively. Exploratory and confirmatory factor analyses were used to investigate the underlying structure of 25 disorders. A four-factor model fit the data well, suggesting a distinction between clinical and personality disorders as well as a distinction between broad groups of internalizing and externalizing disorders. The location of some disorders was not consistent with the DSM-IV classification; antisocial personality disorder belonged primarily to the Axis I externalizing spectrum, dysthymia appeared as a personality disorder, and borderline personality disorder appeared in an interspectral position. The findings have implications for a meta-structure for the DSM.     

基于连续体信念的精神障碍污名化干预探索

以往研究尝试阐明精神障碍患者污名化的产生机制,并提出相应的干预方案。然而,不同方案的干预效果却不尽如人意,并导致了众多理论纷争。解决上述争论的关键在于揭示污名化产生的核心认知机制,即精神障碍的污名化源于人类自发性的社会分类加工。上述核心认知机制的提出将引领以连续体信念为切入点的全新污名化干预路径。该干预路径能够整合精神障碍污名化消除的理论之争,进而衍生出完整的连续体信念干预理论模型和实践模式。     

A Longitudinal Study of Experiential Avoidance in Emotional Disorders

The aim of this study was to examine the degree in which measurements of trait experiential avoidance (EA) are affected by current emotional disorder and whether EA is a causal factor in the course of emotional disorders (anxiety and depressive disorders) and the development of comorbidity among emotional disorders. In a sample of 2,316 adults aged 18 to 65, consisting of healthy controls, persons with a prior history of emotional disorders, and persons with a current emotional disorder, DSM-IV-based emotional disorders (CIDI: Composite Interview Diagnostic Instrument) were assessed at T2 and 2 (T4) and 4 years later (T6) and experiential avoidance (AAQ: Acceptance and Action Questionnaire) at T2 and T4. Results showed that EA scores were stable over a 2-year period notwithstanding state fluctuations because of current emotional disorder. Moreover, EA scores at T2 predicted changes in distress (major depressive disorder, dysthymia, generalized anxiety disorder) and in fear disorders (social anxiety disorder, panic disorder with or without agoraphobia, agoraphobia without panic) at T4. Finally, EA at T4 mediated the longitudinal association of fear disorders at T2 with distress disorders at T6 as well as of distress disorders at T2 with fear disorders at T6. These findings suggest that EA scores are more than epiphenomena of emotional disorders and that EA may be conceptualized as a relevant transdiagnostic factor affecting the course and development of comorbidity of emotional disorders.     

Current and lifetime comorbidity of the DSM-IV anxiety and mood disorders in a large clinical sample.

The comorbidity of current and lifetime DSM-IV anxiety and mood disorders was examined in 1,127 outpatients who were assessed with the Anxiety Disorders Interview Schedule for DSM-IV: Lifetime version (ADIS-IV-L). The current and lifetime prevalence of additional Axis I disorders in principal anxiety and mood disorders was found to be 57% and 81%, respectively. The principal diagnostic categories associated with the highest comorbidity rates were mood disorders, posttraumatic stress disorder (PTSD), and generalized anxiety disorder (GAD). A high rate of lifetime comorbidity was found between the anxiety and mood disorders; the lifetime association with mood disorders was particularly strong for PTSD, GAD, obsessive-compulsive disorder, and social phobia. The findings are discussed in regard to their implications for the classification of emotional disorders.     

Anxiety, anxiety disorders, tobacco use, and nicotine: a critical review of interrelationships

Smoking is highly prevalent across most anxiety disorders. Tobacco use increases risk for the later development of certain anxiety disorders, and smokers with anxiety disorders have more severe withdrawal symptoms during smoking cessation than smokers without anxiety disorders. The authors critically examined the relationships among anxiety, anxiety disorders, tobacco use, and nicotine dependence and reviewed the existing empirical literature. Future research is needed to better understand the interrelationships among these variables, including predictors, moderators, and mechanisms of action. Increased knowledge in these areas should inform prevention efforts as well as the development and improvement of smoking cessation programs for those with anxiety and other psychiatric disorders.     

The Development of Anxiety Disorders: Considering the Contributions of Attachment and Emotion Regulation

Anxiety disorders are among the most common psychiatric disorders in childhood. Nonetheless, theoretical knowledge of the development and maintenance of childhood anxiety disorders is still in its infancy. Recently, research has begun to investigate the influence of emotion regulation on anxiety disorders. Although a relation between anxiety disorders and emotion regulation difficulties has been demonstrated, little attention has been given to the question of why anxious individuals have difficulties regulating their emotions. The present review examines the evidence of the link between emotion regulation and anxiety. It also explores the unique contributions of attachment style and dysfunctional emotion regulation to the development of anxiety disorders.     

Differentiation of Axis I and Axis II disorders

The revised 3rd edition of the Diagnostic and Statistical Manual of Mental Disorders (American Psychiatric Association, 1987) distinguishes between Axis I and Axis II disorders: Axis II includes personality (and developmental) disorders, and all others are on Axis I. This distinction is often useful, but the reification of Axis I and II constructs through diagnostic criteria sets that demarcate categorically distinct entities is at times problematic. We review the issues of differentiating personality from Axis I disorders, specifically illustrated by schizotypal and schizophrenic disorders, borderline and mood disorders, antisocial and substance use disorders, and avoidant personality from social phobia. The options for addressing their differentiation include adding exclusion criteria, shifting the placement of disorders, deleting overlapping criteria, adding differentiating criteria, and converting to a dimensional format.