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

Improving dependability in science: A critique on the psychometric qualities of the HiTOP psychosis superspectrum

We reevaluated HiTOP's existing factor analytic evidence-base for a Psychosis (P) superspectrum as encompassing two psychosis-relevant subfactors ("spectra")-Thought Disorder (TD) and Detachment (D). We found that their data did not support P as a superspectrum with TD and D subfactors. Instead, TD contained both positive and negative symptoms of psychosis and emerged at the subfactor level. D did not target negative symptoms but, largely, disorders unrelated to psychosis and should not be placed under P. Determining if P is truly a superspectrum with psychosis TD and D subfactors will require factor analyses whose items are symptom-based and span the full range of psychopathology. Secondly, HiTOP authors state that TD and D provide a "nearly 2-fold" improvement in reliability over schizophrenia diagnoses but, after aligning the comparative study methodologies, this 2-fold improvement disappears. Finally, HiTOP's use of the term thought disorder is inconsistent with the ICD-11 and psychosis literature, in which it refers to formal thought disorder. We recommend that HiTOP (a) refer to P as a subfactor with positive and negative symptoms of psychosis until research indicates otherwise, (b) regularly rely on formal systematic reviews, (c) use appropriate reliability comparisons, (d) deconflate D with negative symptoms, and (e) rename TD.

The structure of psychiatric comorbidity without selection and assortative mating

The widespread comorbidity observed across psychiatric disorders may be the result of processes such as assortative mating, gene-environment correlation, or selection into population studies. Between-family analyses of comorbidity are subject to these sources of bias, whereas within-family analyses are not. Because of Mendelian inheritance, alleles are randomly assigned within families, conditional on parental alleles. We exploit this variation to compare the structure of comorbidity across broad psychiatric polygenic scores when calculated either between-family (child polygenic scores) or within-family (child polygenic scores regressed on parental polygenic scores) in over 25,000 genotyped parent-offspring trios from the Norwegian Mother Father and Child Cohort study (MoBa). We fitted a series of factor models to the between- and within-family data, which consisted of a single genetic p-factor and a varying number of uncorrelated subfactors. The best-fitting model was identical for between- and within-family analyses and included three subfactors capturing variants associated with neurodevelopment, psychosis, and constraint, in addition to the genetic p-factor. Partner genetic correlations, indicating assortative mating, were not present for the genetic p-factor, but were substantial for the psychosis (b = 0.081;95% CI [0.038,0.124]) and constraint (b = 0.257;95% CI [0.075,0.439]) subfactors. When average factor levels for MoBa mothers and fathers were compared to a population mean of zero we found evidence of sex-specific participation bias, which has implications for the generalizability of findings from cohort studies. Our results demonstrate the power of the within-family design for better understanding the mechanisms driving psychiatric comorbidity and their consequences on population health.

The development of personality-From metatraits to facets-Across adolescence and into adulthood in a sample of Mexican-origin youth

The time between adolescence and adulthood is a transformative period of development. During these years, youth are exploring work, relationships, and worldviews while gaining the capacities needed to take on adult roles. These social and psychological processes are reflected in how personality develops across this period. Most youth personality development research has focused on the Big Five domains, ignoring the hierarchical structure of personality and missing broader, higher order processes and more specific, lower order processes. Toward a more comprehensive account, this study examines how personality develops from adolescence into the early years of adulthood at the metatrait (stability, plasticity), domain (Big Five), and facet levels. Data come from a longitudinal study of Mexican-origin youth (N = 645) with few socioeconomic resources who were assessed 5 times from Ages 14 to 23. We used latent growth curve models to investigate mean-level change, rank-order consistency, and the maintenance of trajectories for self-reported personality metatraits, domains, and facets. We found distinct developmental processes unfolding at each level of the hierarchy, including (a) mean-level changes in the metatraits and domains indicating increases in exploratory tendencies (i.e., plasticity) and maturity (i.e., increases in agreeableness and conscientiousness, decreases in neuroticism), and divergent change patterns between facets within each domain indicating nuanced maturational processes; (b) comparable levels of rank-order consistency for metatraits, domains, and facets; and (c) evidence that deviations from youth's developmental trajectories did not persist over time. Our findings offer insights into personality development that would be impossible to glean from the domain-level alone and adds needed sociocultural diversity to the literature. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Clinical characteristics associated with discrepancies between self- and clinician-rated suicidal ideation in patients with bipolar disorder (FACE-BD cohort)

Suicidal ideation (SI) is a major suicide risk factor; therefore, it is crucial to identify individuals with SI. Discrepancies between the clinicians and patients' estimation of SI may lead to under-evaluating the suicide risk. Yet, studies on discrepancies between self- and clinician-rated SI are lacking, although identifying the patients' sociodemographic and clinical characteristics associated with such discrepancies might help to reduce the under-evaluation risk. Therefore, the aim of this study was to identify features associated with SI rating discrepancies in patients with bipolar disorder (BD) because of the high prevalence of suicide in this population. Among the patients recruited by the French network of FondaMental expert centers for BD, patients with SI (i.e. ≥2 for item 12 of the Quick Inventory of Depressive Symptomatology-Self Report and/or ≥3 for item 10 of the clinician-rated Montgomery and Åsberg Depression Rating Scale) were selected and divided in concordant (i.e. SI in both self- and clinician-rated questionnaires; n = 130; 25.6%), and discordant (i.e. SI in only one questionnaire; n = 377; 74.4%). Depression severity was the feature most associated with SI evaluation discrepancy, especially in patients with SI identified only with the self-rated questionnaire. Clinician may under-evaluate SI presence in patients with low depression level.

An Initial Investigation of the Joint Classification of Hypomania- and Neurodevelopmental Disorder-Relevant Dimensions Within the Hierarchical Taxonomy of Psychopathology

We examined hierarchical structural models of psychopathology in samples of (a) adults recruited online and screened based on psychopathology history (N = 429) and (b) undergraduates (N = 529) to inform classification of neurodevelopmental disorder (NDD)- and hypomania-relevant dimensions within the Hierarchical Taxonomy of Psychopathology (HiTOP). Results differed across samples in some ways, but converged to indicate that some NDD- and hypomania-relevant dimensions aligned closely with different HiTOP spectra. For example, some hypomania-relevant dimensions (e.g., affective lability) overlapped strongly with the internalizing spectrum, whereas others (e.g., self-perceived charisma) were reverse-indicators of detachment. Examination of cross-sectional and prospective correlates for emergent factors also was informative in some ways. This included NDD-relevant and disinhibited externalizing dimensions associating robustly with treatment seeking history and recent experiences of distress. These results provide initial insights into classifying NDD- and hypomania-relevant dimensions within the HiTOP and indicate a need for future research in this area.

The joint hierarchical structure of psychopathology and dysfunctional personality domain indicators among community-dwelling adults

To examine the hierarchical structure of psychopathology and dysfunctional personality domains, 2416 Italian community-dwelling adult volunteers were administered a set of psychometrically sound psychopathology measures and the Personality Inventory for DSM-5 Brief Form+ (PID-5-BF+). Parallel analysis, minimum average partial, and very simple structure results suggested that 1-6 principal components (PCs) should be retained. Goldberg's bass-ackwards model of the joint psychopathology measure and PID-5-BF+ ipsatized domain scale correlation matrix evidenced a hierarchical structure that was consistent with the working model proposed by the Hierarchical Taxonomy of Psychopathology (HiTOP) consortium. Hierarchical agglomerative cluster analysis around latent variables of the psychopathology indicators and PID-5-BF+ domain scales recovered four latent dimensions, which were akin to the corresponding bass-ackwards components and nicely reproduced the HiTOP Internalizing, Externalizing, Thought Disorder, and Eating Pathology dimensions.

Meta-analysis of structural evidence for the Hierarchical Taxonomy of Psychopathology (HiTOP) model

BACKGROUND

The Hierarchical Taxonomy of Psychopathology (HiTOP) is a classification system that seeks to organize psychopathology using quantitative evidence - yet the current model was established by narrative review. This meta-analysis provides a quantitative synthesis of literature on transdiagnostic dimensions of psychopathology to evaluate the validity of the HiTOP framework.

METHODS

Published studies estimating factor-analytic models from diagnostic and statistical manual of mental disorders (DSM) diagnoses were screened. A total of 120,596 participants from 35 studies assessing 23 DSM diagnoses were included in the meta-analytic models. Data were pooled into a meta-analytic correlation matrix using a random effects model. Exploratory factor analyses were conducted using the pooled correlation matrix. A hierarchical structure was estimated by extracting one to five factors representing levels of the HiTOP framework, then calculating congruence coefficients between factors at sequential levels.

RESULTS

Five transdiagnostic dimensions fit the DSM diagnoses well (comparative fit index = 0.92, root mean square error of approximation = 0.07, and standardized root-mean-square residual = 0.03). Most diagnoses had factor loadings >|0.30| on the expected factors, and congruence coefficients between factors indicated a hierarchical structure consistent with the HiTOP framework.

CONCLUSIONS

A model closely resembling the HiTOP framework fit the data well and placement of DSM diagnoses within transdiagnostic dimensions were largely confirmed, supporting it as valid structure for conceptualizing and organizing psychopathology. Results also suggest transdiagnostic research should (1) use traits, narrow symptoms, and dimensional measures of psychopathology instead of DSM diagnoses, (2) assess a broader array of constructs, and (3) increase focus on understudied pathologies.

Validity of Adult Psychopathology Model Using Psychiatric Patient Sample from a Developing Country: Confirmatory Factor Analysis

Objectives. This study is aimed at testing and validating the two-factor measurement model of the Millon Clinical Multiaxial Inventory (MCMI). Specifically, this paper reported construct validity, particularly focusing on convergent and discriminant validities of the internalizing-externalizing MCMI model of adult psychopathology using a psychiatric sample from a developing country, the Republic of Yemen. Methods. MCMI was distributed among 232 outpatients from the Hospital of Taiz City and two private psychiatry clinics in Yemen; data were collected using structured interviews over four months. We used exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) to explore and confirm the latent structure MCMI and verify the evidence of convergent and discriminant validity. Results. The CFA results indicated that MCMI was a good fit for the internalizing-externalizing two-factor model of adult psychopathology, comparative fit index $\left(\text{CFI}\right)=0.95$ , and $\text{RMSEA}=0.07$ . The results of the CFA provide evidence of convergent and discriminant validity characterized by MCMI with the internalizing-externalizing model. Conclusion. The adult psychopathology of internalizing-externalizing is a valid measurement model of MCMI with ten personality disorders and eight clinical syndromes.

The harmonium model and its unified system view of psychopathology: a validation study by means of a convolutional neural network

The harmonium model (HM) is a recent conceptualization of the unifying view of psychopathology, namely the idea of a general mechanism underpinning all mental disorders (the p factor). According to HM, psychopathology consists of a low dimensional Phase Space of Meaning (PSM), where each dimension of meaning maps a component of the environmental variability. Accordingly, the lower thenumber of independent dimensions in the PSM, and hence its intrinsic complexity, the more limited the way of interpreting the environment. The current simulation study, based on a Convolutional Neural Network (CNN) framework, aims at validating the HM low-dimensionality hypothesis. CNN-based classifiers were employed to simulate normotypical and pathological cognitive processes. Results revealed that normotypical and pathological CNNs were different in terms of both classification performance and layer activation patterns. Using Principal Component Analysis to characterize the PSM associated with the two algorithms, we found that the performance of the normotypical CNN relies on a larger and more evenly distributed number of components, compared with the pathological one. This finding might be indicative of the fact that psychopathology can be modelled as a low-dimensional, poorly modulable PSM, which means the environment is detected through few components of meaning, preventing complex information patterns from being taken into account.

Validity and utility of Hierarchical Taxonomy of Psychopathology (HiTOP): III. Emotional dysfunction superspectrum

The Hierarchical Taxonomy of Psychopathology (HiTOP) is a quantitative nosological system that addresses shortcomings of traditional mental disorder diagnoses, including arbitrary boundaries between psychopathology and normality, frequent disorder co-occurrence, substantial heterogeneity within disorders, and diagnostic unreliability over time and across clinicians. This paper reviews evidence on the validity and utility of the internalizing and somatoform spectra of HiTOP, which together provide support for an emotional dysfunction superspectrum. These spectra are composed of homogeneous symptom and maladaptive trait dimensions currently subsumed within multiple diagnostic classes, including depressive, anxiety, trauma-related, eating, bipolar, and somatic symptom disorders, as well as sexual dysfunction and aspects of personality disorders. Dimensions falling within the emotional dysfunction superspectrum are broadly linked to individual differences in negative affect/neuroticism. Extensive evidence establishes that dimensions falling within the superspectrum share genetic diatheses, environmental risk factors, cognitive and affective difficulties, neural substrates and biomarkers, childhood temperamental antecedents, and treatment response. The structure of these validators mirrors the quantitative structure of the superspectrum, with some correlates more specific to internalizing or somatoform conditions, and others common to both, thereby underlining the hierarchical structure of the domain. Compared to traditional diagnoses, the internalizing and somatoform spectra demonstrated substantially improved utility: greater reliability, larger explanatory and predictive power, and greater clinical applicability. Validated measures are currently available to implement the HiTOP system in practice, which can make diagnostic classification more useful, both in research and in the clinic.

Validity and utility of Hierarchical Taxonomy of Psychopathology (HiTOP): II. Externalizing superspectrum

The Hierarchical Taxonomy of Psychopathology (HiTOP) is an empirical effort to address limitations of traditional mental disorder diagnoses. These include arbitrary boundaries between disorder and normality, disorder co-occurrence in the modal case, heterogeneity of presentation within dis-orders, and instability of diagnosis within patients. This paper reviews the evidence on the validity and utility of the disinhibited externalizing and antagonistic externalizing spectra of HiTOP, which together constitute a broad externalizing superspectrum. These spectra are composed of elements subsumed within a variety of mental disorders described in recent DSM nosologies, including most notably substance use disorders and "Cluster B" personality disorders. The externalizing superspectrum ranges from normative levels of impulse control and self-assertion, to maladaptive disinhibition and antagonism, to extensive polysubstance involvement and personality psychopathology. A rich literature supports the validity of the externalizing superspectrum, and the disinhibited and antagonistic spectra. This evidence encompasses common genetic influences, environmental risk factors, childhood antecedents, cognitive abnormalities, neural alterations, and treatment response. The structure of these validators mirrors the structure of the phenotypic externalizing superspectrum, with some correlates more specific to disinhibited or antagonistic spectra, and others relevant to the entire externalizing superspectrum, underlining the hierarchical structure of the domain. Compared with traditional diagnostic categories, the externalizing superspectrum conceptualization shows improved utility, reliability, explanatory capacity, and clinical applicability. The externalizing superspectrum is one aspect of the general approach to psychopathology offered by HiTOP and can make diagnostic classification more useful in both research and the clinic.

The phase space of meaning model of psychopathology: A computer simulation modelling study

INTRODUCTION

The hypothesis of a general psychopathology factor that underpins all common forms of mental disorders has been gaining momentum in contemporary clinical research and is known as the p factor hypothesis. Recently, a semiotic, embodied, and psychoanalytic conceptualisation of the p factor has been proposed called the Harmonium Model, which provides a computational account of such a construct. This research tested the core tenet of the Harmonium model, which is the idea that psychopathology can be conceptualised as due to poorly-modulable cognitive processes, and modelled the concept of Phase Space of Meaning (PSM) at the computational level.

METHOD

Two studies were performed, both based on a simulation design implementing a deep learning model, simulating a cognitive process: a classification task. The level of performance of the task was considered the simulated equivalent to the normality-psychopathology continuum, the dimensionality of the neural network's internal computational dynamics being the simulated equivalent of the PSM's dimensionality.

RESULTS

The neural networks' level of performance was shown to be associated with the characteristics of the internal computational dynamics, assumed to be the simulated equivalent of poorly-modulable cognitive processes.

DISCUSSION

Findings supported the hypothesis. They showed that the neural network's low performance was a matter of the combination of predicted characteristics of the neural networks' internal computational dynamics. Implications, limitations, and further research directions are discussed.

Characterization of depressed bipolar patients with current suicidal ideation

OBJECTIVE

Bipolar disorder is one of the most frequent psychiatric disorders among suicidal patients. A large part of patients with bipolar disorder (30-50%) will attempt suicide. Suicidal ideation being a major risk factor of suicidal act, it is crucial to better characterize patients with suicidal bipolar depression (i.e. depression with current suicidal ideation). The aim of this study was to characterize suicidal bipolar depressed patients in comparison with non-suicidal depressed patients in terms of clinical characteristics, evolution of depression and suicidal ideation course over time, and risk of suicide attempt during follow-up.

METHODS

Among patients with bipolar disorder recruited from the network of FondaMental expert centres for bipolar disorder between 2009 and 2017, we selected patients with at least mild depression (Montgomery-Åsberg Depression Rating Scale total score >11) and without current manic symptomatology (Young Mania Rating Scale total score <7) at baseline (N = 938). Suicidal depression was defined by a baseline score ⩾2 for item 12 of the Quick Inventory of Depressive Symptomatology-Self Report (N = 271, 28.9%). Non-suicidal depression was defined by a baseline item 12 of the Quick Inventory of Depressive Symptomatology-Self Report score <2 (N = 667, 71.1%). A subsample of about 300 patients (with or without suicidal ideation at baseline) was followed up for 2 years.

RESULTS

Baseline clinical features (e.g. depression severity, childhood trauma, global functioning) were more severe in patients with than without suicidal depression. Suicidal patients tended to remain more suicidal throughout the follow-up than patients without suicidal ideation at baseline (3.4-fold higher risk of persistent suicidal ideation at the 2-year visit despite an improvement in depressive symptomatology).

CONCLUSIONS

Depressed bipolar disorder patients reporting suicidal ideation had more severe clinical features at baseline and were more prone to report persistent suicidal ideation during the follow-up, independently of thymic state. Clinicians should closely monitor this subgroup of patients.

Clinical Neuroscience of Addiction: What Clinical Psychologists Need to Know and Why

The last three decades in psychological research have been marked by interdisciplinary science. Addiction represents a prime example of a disorder marked by a complex interaction among psychosocial and biological factors. This review highlights critical findings in the basic neuroscience of addiction and translates them into clinical language that can inform clinical psychologists in their research, teaching, and practice. From mechanisms of reward processing, learning and memory, allostasis, incentive-sensitization, withdrawal, tolerance, goal-directed decision making, habit learning, genetics, inflammation, and the microbiome, the common theme of this review is to illustrate the clinical utility of basic neuroscience research and to identify opportunities for clinical science. The thoughtful integration of basic and clinical science provides a powerful tool to fulfill the scientific mission of improving health care. Clinical psychologists have a crucial role to play in the translational science of addiction.

Emotion regulation in adolescents: Influences of internal representations of relationships - An ERP study

Emotion regulation (ER) strategies can decrease the intensity or modify the experience of emotions. Deficits in emotion regulation are implicated in a wide range of psychopathologies. It is argued that interpersonal, socio-cognitive, and developmental variables play an important role in ER. This is the first study to explore the contribution of individual differences in internal representations of relationships (IRR) to neural correlates of ER in a sample of adolescents. Event related potentials of 53 adolescents (12 to 17 years old) were collected while performing an ER task. IRR was assessed with the social cognition and object relations scale (SCORS-G; Westen, 1995) coding of narratives from interviews. Results show that individual differences in IRR significantly predicted the modulation of emotional responses by expressive suppression in adolescents, accounting for 48% of the variance of changes in occipital late positive potentials (LPP). Thus, it appears that IRR are implicated in an individual's ability to regulate emotions. The clinical implications of the findings are discussed.

The General Factor of Personality and Evaluation

According to the proposal of the general factor of personality (GFP), socially desirable personality traits have been selected for throughout evolution because they increase fitness. However, it remains unknown whether people high on this factor actually behave in socially desirable ways or whether they simply endorse traits of positive valence. We separated these two sources of variance by having 619 participants respond to 120 personality adjectives organised into 30 quadruples balanced for content and valence (e.g. unambitious, easy–going, driven and workaholic tapped the trait achievement–striving). An exploratory six–factor solution fit well, and the factors resembled the Big Five. We subsequently extracted a higher–order factor from this solution, which appeared similar to the GFP. A Schmid–Leiman transformation of the higher–order factor, however, revealed that it clustered items of similar valence but opposite content (e.g. at the negative pole, unambitious and workaholic), rendering it an implausible description of evolved adaptive behaviour. Isolating this evaluative factor using exploratory structural equation modelling generated factors consisting of items of similar descriptive content but different valence (e.g. driven and workaholic), and the correlations among these factors were of small magnitude, indicating that the putative GFP capitalises primarily on evaluative rather than descriptive variance. Implications are discussed. Copyright © 2011 John Wiley & Sons, Ltd.

Big five personality traits and common mental disorders within a hierarchical taxonomy of psychopathology: A longitudinal study of Mexican-origin youth

The present study (a) tested whether a structure of common mental disorders within the hierarchical taxonomy of psychopathology was invariant from late childhood to adolescence in a sample of Mexican-origin youth, (b) examined the developmental course of psychopathology at different levels of the hierarchy, and (c) tested the degree to which changes in psychopathology were associated with changes in the Big Five personality domains. Results were consistent with the longitudinal hierarchical invariance of common mental disorders from age 12 to 17 (n = 674). Further, initial levels of conscientiousness, agreeableness, and emotional stability were positively associated with lower initial levels of a higher order factor of psychopathology, and increases in extraversion and decreases in neuroticism were associated with decreases in a higher order factor of psychopathology, which captured the general tendency for externalizing, internalizing, and attention-hyperactivity-related dimensions of psychopathology to correlate. Results of the present study indicate that a hierarchical model of common mental disorders extends to Mexican-origin youth and that developmental change in Big Five personality are related to developmental change in psychopathology. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Associations between aversive learning processes and transdiagnostic psychiatric symptoms in a general population sample

Symptom expression in psychiatric conditions is often linked to altered threat perception, however how computational mechanisms that support aversive learning relate to specific psychiatric symptoms remains undetermined. We answer this question using an online game-based aversive learning task together with measures of common psychiatric symptoms in 400 subjects. We show that physiological symptoms of anxiety and a transdiagnostic compulsivity-related factor are associated with enhanced safety learning, as measured using a probabilistic computational model, while trait cognitive anxiety symptoms are associated with enhanced learning from danger. We use data-driven partial least squares regression to identify two separable components across behavioural and questionnaire data: one linking enhanced safety learning and lower estimated uncertainty to physiological anxiety, compulsivity, and impulsivity; the other linking enhanced threat learning and heightened uncertainty estimation to symptoms of depression and social anxiety. Our findings implicate aversive learning processes in the expression of psychiatric symptoms that transcend diagnostic boundaries.

Steps Towards a Unified Theory of Psychopathology: The Phase Space of Meaning Model

The hypothesis of a general psychopathology factor (p factor) has been advanced in recent years. It is an innovation with breakthrough potential, in the perspective of a unified view of psychopathology; however, what remains a controversial topic is how its nature might be conceptualized. The current paper outlines a semiotic, embodied and psychoanalytic conceptualization of psychopathology - the Phase Space of Meaning (PSM) model - aimed at providing ontological grounds to the p factor hypothesis. Framed within a more general model of how the mind works, the PSM model maintains that the p factor can be conceived as the empirical marker of the degree of rigidity of the meaning-maker's way of interpreting experience, namely of the dimensions of meanings used to map the environment's variability. As to the clinical implications, two main aspects are outlined. First, according PSM model, psychopathology is not an invariant condition, and does not have a set dimensionality, but is able to vary it locally, in order to address the requirement of situated action. Second, psychopathology is conceived as one of the mind's modes of working, rather than the manifestation of its disruption. Finally, the puzzling issue of the interplay between stability and variability in the evolutionary trajectories of patients along with their life events is addressed and discussed.

Fractures in the framework: limitations of classification systems in psychiatry

This article examines the limitations of existing classification systems from the historical, cultural, political, and legal perspectives. It covers the evolution of classification systems with particular emphasis on the DSM and ICD systems. While pointing out the inherent Western bias in these systems, it highlights the potential of misuse of these systems to subserve other agendas. It raises concerns about the reliability, validity, comorbidity, and heterogeneity within diagnostic categories of contemporary classification systems. Finally, it postulates future directions in alternative methods of diagnosis and classification factoring in advances in artificial intelligence, machine learning, genetic testing, and brain imaging. In conclusion, it emphasizes the need to go beyond the limitations inherent in classifications systems to provide more relevant diagnoses and effective treatments.


Validity and utility of Hierarchical Taxonomy of Psychopathology (HiTOP): I. Psychosis superspectrum

The Hierarchical Taxonomy of Psychopathology (HiTOP) is a scientific effort to address shortcomings of traditional mental disorder diagnoses, which suffer from arbitrary boundaries between psychopathology and normality, frequent disorder co-occurrence, heterogeneity within disorders, and diagnostic instability. This paper synthesizes evidence on the validity and utility of the thought disorder and detachment spectra of HiTOP. These spectra are composed of symptoms and maladaptive traits currently subsumed within schizophrenia, other psychotic disorders, and schizotypal, paranoid and schizoid personality disorders. Thought disorder ranges from normal reality testing, to maladaptive trait psychoticism, to hallucinations and delusions. Detachment ranges from introversion, to maladaptive detachment, to blunted affect and avolition. Extensive evidence supports the validity of thought disorder and detachment spectra, as each spectrum reflects common genetics, environmental risk factors, childhood antecedents, cognitive abnormalities, neural alterations, biomarkers, and treatment response. Some of these characteristics are specific to one spectrum and others are shared, suggesting the existence of an overarching psychosis superspectrum. Further research is needed to extend this model, such as clarifying whether mania and dissociation belong to thought disorder, and explicating processes that drive development of the spectra and their subdimensions. Compared to traditional diagnoses, the thought disorder and detachment spectra demonstrated substantially improved utility: greater reliability, larger explanatory and predictive power, and higher acceptability to clinicians. Validated measures are available to implement the system in practice. The more informative, reliable and valid characterization of psychosis-related psychopathology offered by HiTOP can make diagnosis more useful for research and clinical care.

Personality traits as an organizing framework for personality pathology

We review evidence establishing important parallels between the general structure of psychopathology, the more specific structure of personality pathology and the structure of normal-range personality. We then present data to explicate the nature of associations between the alternative model of personality disorder (AMPD)-as operationalized by the Personality Inventory for DSM-5-and the domains and facets subsumed within the five-factor model of personality. Our data demonstrate substantial links between four of the five domains within these models but also indicate that the AMPD could be realigned to enhance its convergence with the five-factor model of personality. Based on our data, we tentatively propose an expanded four-facet model of AMPD Negative Affectivity (Anxiousness, Depressivity, Hostility and Emotional Lability); an alternative bipolar scheme for Detachment that includes two positively keyed (Withdrawal and Anhedonia) and two negatively keyed (Risk Taking and Attention Seeking) facets; a broader five-facet model of Antagonism (Deceitfulness, Manipulativeness, Callousness, Grandiosity and Suspiciousness); and a reduced two-facet model of Disinhibition (Irresponsibility and Impulsivity). These alternative scores generally showed superior convergent and discriminant validity when compared with current measures of the AMPD domains but also raise other issues. Our findings highlight the strong overlap between normal and pathological personality and clarify the nature of the associations between them. © 2019 John Wiley & Sons, Ltd.

DSM-5 Maladaptive Personality Domains among Treatment-Seeking Individuals with Alcohol Use Disorder: The Role of Disinhibition and Negative Affectivity

Background: Dimensional models of personality and personality disorders (PDs) have been widely investigated among individuals with alcohol use disorders (AUD). Nevertheless, DSM-5 maladaptive personality domains showed mixed associations with AUD. Furthermore, no studies have explored the role of DSM-5 maladaptive personality domains on the comorbidity between AUD and different PDs. Objective(s): This study aims at investigating whether DSM-5 maladaptive personality dimensions could differentiate individuals with AUD from normative and healthy controls (HCs) subjects. The study also investigated relationships between these personality dimensions and AUD clinical features (i.e. onset, severity of concurrent substance use disorders), as well as their role in accounting for the comorbidity between AUD and PDs. Methods: This study administered the personality inventory for DSM-5 (PID-5) to 99 treatment-seeking individuals (male 68.8%; female 31.2%; age: 48.12 (14.32)) with AUD (41 AUD only; 58 AUD with PDs), comparing the participants' levels of PID-5 domains with normative data and the data from a HC sample (N = 40; male 50%; female 50%; age: 48.12 (14.32)). Results: Disinhibition and negative affectivity were relevant maladaptive personality dimensions of AUD, even when controlling for the impact of PD diagnoses. Disinhibition and negative affectivity were associated to the onset of AUD and the severity of concurrent substance use disorders. The co-occurrence of AUD and PDs is related to other two domains, namely antagonism and detachment. Conclusions: AUD is a complex psychopathological disorder in which both externalizing and internalizing aspects determine relevant clinical features.

A Hierarchical Integration of Normal and Abnormal Personality Dimensions: Structure and Predictive Validity in a Heterogeneous Sample of Psychiatric Outpatients

Hierarchical, quantitative models of psychopathology focus primarily on higher-order constructs, whereas less is known about the structure and content comprising lower-order dimensions of psychopathology. Here, we address this gap in the literature by using targeted factor analysis to integrate the 25 maladaptive facet-level traits of the Personality Inventory for Diagnostic and Statistical Manual of Mental Disorder-Fifth edition and the 10 aspect-level traits of the normal personality hierarchy within a sample of 198 psychiatric outpatients. A 10-factor solution replicated previous work, with each of the 10 aspects primarily characterizing only one factor. In addition, the 10 factors differentially predicted a range of diagnoses, including alcohol use disorder, major depression, panic disorder, social anxiety, and borderline and avoidant personality disorders. Our results suggest that research on the development, causes, and structure of lower-order traits within the normal personality hierarchy may serve as an important guide to research on the causes and structure of maladaptive personality.

Delineating and validating higher-order dimensions of psychopathology in the Adolescent Brain Cognitive Development (ABCD) study

Hierarchical dimensional systems of psychopathology promise more informative descriptions for understanding risk and predicting outcome than traditional diagnostic systems, but it is unclear how many major dimensions they should include. We delineated the hierarchy of childhood and adult psychopathology and validated it against clinically relevant measures. Participants were 9987 9- and 10-year-old children and their parents from the Adolescent Brain Cognitive Development (ABCD) study. Factor analyses of items from the Child Behavior Checklist and Adult Self-Report were run to delineate hierarchies of dimensions. We examined the familial aggregation of the psychopathology dimensions, and the ability of different factor solutions to account for risk factors, real-world functioning, cognitive functioning, and physical and mental health service utilization. A hierarchical structure with a general psychopathology ('p') factor at the apex and five specific factors (internalizing, somatoform, detachment, neurodevelopmental, and externalizing) emerged in children. Five similar dimensions emerged also in the parents. Child and parent p-factors correlated highly (r = 0.61, p < 0.001), and smaller but significant correlations emerged for convergent dimensions between parents and children after controlling for p-factors (r = 0.09-0.21, p < 0.001). A model with child p-factor alone explained mental health service utilization (R² = 0.23, p < 0.001), but up to five dimensions provided incremental validity to account for developmental risk and current functioning in children (R² = 0.03-0.19, p < 0.001). In this first investigation comprehensively mapping the psychopathology hierarchy in children and adults, we delineated a hierarchy of higher-order dimensions associated with a range of clinically relevant validators. These findings hold important implications for psychiatric nosology and future research in this sample.

Common Taxonomy of Traits and Symptoms: Linking Schizophrenia Symptoms, Schizotypy, and Normal Personality

The associations among normal personality and many mental disorders are well established, but it remains unclear whether and how symptoms of schizophrenia and schizotypal traits align with the personality taxonomy. This study examined the joint factor structure of normal personality, schizotypy, and schizophrenia symptoms in people with psychotic disorders (n = 288) and never-psychotic adults (n = 257) in the Suffolk County Mental Health Project. First, we evaluated the structure of schizotypal (positive schizotypy, negative schizotypy, and mistrust) and normal traits. In both the psychotic-disorder and never-psychotic groups, the best-fitting model had 5 factors: neuroticism, extraversion, conscientiousness, agreeableness, and psychoticism. The schizotypy traits were placed on different dimensions: negative schizotypy went on (low) extraversion, whereas positive schizotypy and mistrust went on psychoticism. Next, we added symptoms to the model. Numerous alternatives were compared, and the 5-factor model remained best-fitting. Reality distortion (hallucinations and delusions) and disorganization symptoms were placed on psychoticism, and negative symptoms were placed on extraversion. Models that separated symptom dimensions from trait dimensions did not fit well, arguing that taxonomies of symptoms and traits are aligned. This is the first study to show that symptoms of psychosis, schizotypy, and normal personality reflect the same underlying dimensions. Specifically, (low) extraversion, negative schizotypy, and negative symptoms form one spectrum, whereas psychoticism, positive schizotypy, and positive and disorganized symptoms form another. This framework helps to understand the heterogeneity of psychosis and comorbidity patterns found in psychotic disorders. It also underscores the importance of traits to understanding these disorders.

Symptom-level analysis of DSM-IV/DSM-5 personality pathology in later life: Hierarchical structure and predictive validity across self- and informant ratings

Dissatisfaction with the categorical model of personality disorder led to several investigations on alternative, dimensional systems. The majority of these studies were conducted at the syndrome-level where each diagnostic criterion is summed or averaged within each disorder. Studies at the symptom-level have identified symptom dimensions that define and cut across categories, but the number and nature of dimensions varies across studies. The purpose of the present study was to examine the hierarchical structure and impact of personality pathology at the symptom-level across self- and informant ratings in a large community sample of older adults (N = 1,630; ages 55 to 64). Results indicated that multiple structural patterns can be organized within a common hierarchical framework, with a general factor of maladjustment at the top, 2 broad dimensions of internalizing and externalizing pathology directly below, and progressively more specific symptom dimensions toward the bottom. Factors at each level of the hierarchy were similar across self- and informant ratings. The 4-factor model showed significant incremental validity in predicting a range of life outcomes over simpler models, while increasingly complex models incrementally but modestly improved predictive power. Several consistencies emerged between the current findings and prior factor analytic studies. The most unexpected result was the conspicuous absence of a disinhibition factor reflecting antisocial and impulsivity-related problems. This anomaly may involve the older age of our sample and the changing expression of personality pathology in later life. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Differential associations of locus of control with anxiety, depression and life-events: A five-wave, nine-year study to test stability and change

BACKGROUND

The locus of control (LOC) construct has been associated with onset, course, and severity of anxiety and depression. We investigated the stability of LOC, the bidirectional relationships between LOC and symptom severity of anxiety and depression over nine years, and the influence of intermediate positive and negative life-events on these associations.

METHODS

Data came from five assessment waves over nine years of 2052 subjects with an anxiety or depressive disorder or healthy controls. First, the stability of LOC (assessed with 5-item Mastery Scale) was tested. Next, associations between LOC, anxiety severity (Beck Anxiety Inventory), depression severity (Inventory of Depressive Symptomatology), and intermediate positive and negative life-events (20-item List of Threatening Experience Questionnaire) were determined with structural equation modeling.

RESULTS

LOC was rather stable over nine years (r = 0.62), and scores increased slightly with age (i.e. became more internal). LOC yielded equal stability estimates as symptom levels of anxiety and depression did over nine years. A more external LOC predicted higher anxiety and depression severity, but did not influence the incidence of positive and negative life-events. Higher depression severity and more negative life-events predicted the development of a more external LOC, whereas more positive life-events predicted a more internal LOC. Anxiety severity had no effect on LOC.

LIMITATIONS

Life-events were assessed with self-report measures.

CONCLUSIONS

The prospective associations between LOC and meaningful changes in anxiety and depressive symptom severity and experienced life-events may yield important new insights for clinical interventions.

Relationships Among Avoidant Personality Disorder, Social Anxiety Disorder, and Normative Personality Traits: A Twin Study

Avoidant personality disorder (AvPD) and social anxiety disorder (SAD) share risk factors to a substantial degree, and both are characterized by the experience of anxiety in social situations. The authors investigated whether these disorders are differentially related to the Big Five personality traits. They also examined the underlying genetic and environmental influences on these associations. A population-based sample of 1,761 female twins was interviewed at baseline, and 1,471 of these were re-interviewed 10 years later. Associations between AvPD, SAD, and personality traits were investigated with multivariate biometric analyses. The authors found that AvPD and SAD are differentially related to several personality traits at the phenotypic, genetic, and environmental level. The genetic and environmental liability to AvPD could be fully accounted for by the genetic and environmental factors influencing SAD and personality. The findings may increase current etiological understanding of these disorders and inform future classification and treatment efforts.

A Hierarchical Taxonomy of Psychopathology Can Transform Mental Health Research

For more than a century, research on psychopathology has focused on categorical diagnoses. Although this work has produced major discoveries, growing evidence points to the superiority of a dimensional approach to the science of mental illness. Here we outline one such dimensional system-the Hierarchical Taxonomy of Psychopathology (HiTOP)-that is based on empirical patterns of co-occurrence among psychological symptoms. We highlight key ways in which this framework can advance mental-health research, and we provide some heuristics for using HiTOP to test theories of psychopathology. We then review emerging evidence that supports the value of a hierarchical, dimensional model of mental illness across diverse research areas in psychological science. These new data suggest that the HiTOP system has the potential to accelerate and improve research on mental-health problems as well as efforts to more effectively assess, prevent, and treat mental illness.

Expanding the validity of the malignant self-regard construct in an Italian general population sample

Malignant self-regard (MSR) was proposed as a particular type of self-structure that may account for similarities among a set of clinically relevant Personality Disorders (PDs) such as masochistic/self-defeating and depressive PDs that yet have failed to be adequately represented in the diagnostic manuals. The investigation on the MSR may provide a better framework upon which to understand the nature of these personality types and their discrimination from related constructs. The present study examines the psychometric properties of the Italian adaptation of the Malignant Self-Regard Questionnaire (MSRQ). Reliability and validity indicators are determined in a large sample of adults from general population (n = 2574). The measure was found to be reliable and valid, given its correlations with measures of depressive personality, negative affectivity, self-defeating, and vulnerably narcissistic personalities. MSR also can be meaningfully differentiated from a nomological network of related constructs, including sadness rumination, depression, neuroticism, extraversion, and grandiose narcissism. These findings suggest that MSR may be a personality component which includes a negativistic self-representation, vulnerability and hypersensitivity to judgment, sometimes compensated by perfectionistic tendencies. As a whole, results seem to support the reliability and the validity of the Italian adaptation of the MSRQ as a measure of the MSR.

Moving beyond categories and dimensions in personality pathology assessment and diagnosis

It has been suggested that a dimensional model of personality pathology should be adopted for the development and refinement of personality disorder classification. In this article, the advantages and challenges of moving toward a dimensional model are briefly reviewed. However, it is suggested that although categories and dimensions are valuable frameworks for personality pathology diagnosis, an expansion beyond categories and dimensions is needed to improve the shortcoming seen in current diagnostic systems. Ideas and examples are offered for how this might occur.Declaration of interestNone.

Child with multiple problems: Clinical complexity and uncertainty

When practising neurodevelopmental-behavioural paediatrics, responsibility rests with the individual clinician to interpret research evidence in their daily work. This is not necessarily an easy task. Children do not usually present with single, easily definable problems. Complexity and uncertainty are present from the outset due to heterogeneity inherent in the diagnoses available, patterns of comorbid problems and the unique challenges of each child's social context. This article examines the resulting clinical challenge and offers potential responses. Rather than striving to eliminate uncertainty with strategies such as extensive assessment, the goal is to work effectively and efficiently within the limits of what can be readily known. Suggested strategies address complexity by considering the components of what is going on (biological, developmental, transactional) as hypotheses shared within each child's system of care. These hypotheses can then be tested and revised systematically as further information arises along the journey of treatment and longitudinal care.

The cross-national structure of mental disorders: results from the World Mental Health Surveys

BACKGROUND

The patterns of comorbidity among mental disorders have led researchers to model the underlying structure of psychopathology. While studies have suggested a structure including internalizing and externalizing disorders, less is known with regard to the cross-national stability of this model. Moreover, little data are available on the placement of eating disorders, bipolar disorder and psychotic experiences (PEs) in this structure.

METHODS

We evaluated the structure of mental disorders with data from the World Health Organization Composite International Diagnostic Interview, including 15 lifetime mental disorders and six PEs. Respondents (n = 5478-15 499) were included from 10 high-, middle- and lower middle-income countries across the world aged 18 years or older. Confirmatory factor analyses (CFAs) were used to evaluate and compare the fit of different factor structures to the lifetime disorder data. Measurement invariance was evaluated with multigroup CFA (MG-CFA).

RESULTS

A second-order model with internalizing and externalizing factors and fear and distress subfactors best described the structure of common mental disorders. MG-CFA showed that this model was stable across countries. Of the uncommon disorders, bipolar disorder and eating disorder were best grouped with the internalizing factor, and PEs with a separate factor.

CONCLUSIONS

These results indicate that cross-national patterns of lifetime common mental-disorder comorbidity can be explained with a second-order underlying structure that is stable across countries and can be extended to also cover less common mental disorders.

Criterion Validity and Utility of the General Factor of Psychopathology in Childhood: Predictive Associations With Independently Measured Severe Adverse Mental Health Outcomes in Adolescence

OBJECTIVE

We examined whether a parent-rated general factor of psychopathology in childhood would predict independently measured, severe adverse mental health outcomes in adolescence.

METHOD

We used the Child and Adolescent Twin Study in Sweden, which targets all twin children in Sweden. Parents rated their children (N = 16,806) on 43 symptoms of inattention, hyperactivity/impulsivity, conduct problems, and anxiety/emotionality when the twins turned 9 or 12 years of age. Adverse mental health outcomes in adolescence were retrieved from national registers, and included psychiatric diagnoses, prescription of anxiolytic or antidepressant medication, court convictions of crimes, and failure to achieve eligibility for high school.

RESULTS

Parent-rated inattention, hyperactivity/impulsivity, conduct problems, and anxiety/emotionality in childhood predicted all adverse mental health outcomes in adolescence (mean odds ratio = 1.76; range = 1.41-2.18; all p < .05). However, several of these associations were nonsignificant in a multiple regression framework, suggesting the influence of common variance. A general factor of psychopathology uniquely predicted all outcomes (mean odds ratio = 1.58; range = 1.34-1.84; all p < .05), whereas the specific factors predicted only a subset of the outcomes.

CONCLUSION

Mental health problems in childhood are associated with a host of adverse outcomes in adolescence, and, to a considerable extent, these associations are driven by a general factor of psychopathology. The general factor may therefore be important to clinical prognosis, which informs clinical decision making for children.

What is the effect on comorbid personality disorder of brief panic-focused psychotherapy in patients with panic disorder?

BACKGROUND

No studies of psychotherapies for panic disorder (PD) have examined effects on comorbid personality disorders (PersD), yet half such patients have a PersD.

METHODS

In a randomized trial for PD with and without agoraphobia comparing Cognitive-Behavioral Therapy (CBT) and Panic-Focused Psychodynamic Psychotherapy (PFPP), PersD was assessed pre-to-post treatment with the Structured Clinical Interview for the Diagnosis of Axis-II Disorders (SCID-II). For patients completing therapy (n = 118, 54 with PersD), covariance between panic and SCID-II criteria improvements was analyzed. SCID-II diagnostic remission and recovery were evaluated. Comparative efficacy of PFPP versus CBT for improving PersD was analyzed both for the average patient, and as a function of PersD severity.

RESULTS

37 and 17% of PersD patients experienced diagnostic PersD remission and recovery, respectively. Larger reductions in PersD were related to more panic improvement, with a modest effect size (r = 0.28). Although there was no difference between treatments in their ability to improve PersD for the average patient (d = 0.01), patients meeting more PersD criteria did better in PFPP compared to CBT (P = .007), with PFPP being significantly superior at 11 criteria and above (d = 0.66; 3 more criteria lost).

CONCLUSIONS

PersD presenting in the context of primary PD rarely resolves during psychotherapies focused on PD, and change in PersD only moderately tracks panic improvements, indicating non-overlap of the constructs. Patients receiving panic-focused psychotherapies may require additional treatment for their PersD. PFPP may be superior at improving severe PersD, but replication of this finding is required.

Validating dimensions of psychosis symptomatology: Neural correlates and 20-year outcomes

Heterogeneity of psychosis presents significant challenges for classification. Between 2 and 12 symptom dimensions have been proposed, and consensus is lacking. The present study sought to identify uniquely informative models by comparing the validity of these alternatives. An epidemiologic cohort of 628 first-admission inpatients with psychosis was interviewed 6 times over 2 decades and completed an electrophysiological assessment of error processing at year 20. We first analyzed a comprehensive set of 49 symptoms rated by interviewers at baseline, progressively extracting from 1 to 12 factors. Next, we compared the ability of resulting factor solutions to (a) account for concurrent neural dysfunction and (b) predict 20-year role, social, residential, and global functioning, and life satisfaction. A four-factor model showed incremental validity with all outcomes, and more complex models did not improve explanatory power. The 4 dimensions-reality distortion, disorganization, inexpressivity, and apathy/asociality-were replicable in 5 follow-ups, internally consistent, stable across assessments, and showed strong discriminant validity. These results reaffirm the value of separating disorganization and reality distortion, are consistent with recent findings distinguishing inexpressivity and apathy/asociality, and suggest that these 4 dimensions are fundamental to understanding neural abnormalities and long-term outcomes in psychosis. (PsycINFO Database Record

The generalizability of the structure of substance abuse and antisocial behavioral syndromes: A systematic review

BACKGROUND

Although several authors have suggested that a single externalizing spectrum encompassing both antisocial behavioral syndromes and substance use disorder is to be preferred, this assumption has not been evaluated systematically throughout studies.

PURPOSE

The objective was to establish the generalizability of transdiagnostic models of externalizing disorders across different types of disorders and populations, in regard to the strength of the evidence.

METHOD

We conducted a systematic literature review using combinations of two sets of keywords: 1) "antisocial", "externalizing", "conduct disorder", "disruptive behavior disorder", "substance abuse", "substance-related disorder", "cannabis", "cocaine", "hallucinogen", "alcoholism", "opioid"; 2) "latent structure", "factor analysis", "multivariate analysis".

RESULTS

Models supporting a superordinate factor appeared dominant in a limited set of different populations, on which the majority of the research sample was focused.

CONCLUSIONS

Although the externalizing spectrum model is a promising angle for future research and treatment, extending research on this model in a higher diversity of populations is recommended to enhance the understanding and applicability of the externalizing spectrum model.

Manifestations of personality impairment severity: comorbidity, course/prognosis, psychosocial dysfunction, and 'borderline' personality features

Impairment in personality functioning (briefly, personality impairment) is the core pathology in personality disorder (PD) and an essential indicator of PD-severity. It also is a difficult construct to define and assess. We argue that personality-impairment severity is a latent construct that can be modeled with four indicators: within-PD comorbidity, problematic course/prognosis of both PD and comorbid clinical syndromes, PD-associated psychosocial dysfunction, and features of DSM-5-II borderline PD (BPD). Our literature review documents interrelations among the first three indicators, and studies of PD structure reveal a higher order factor of general PD severity marked most strongly by BPD features. Together, these findings indicate that BPD features may be helpful in the important tasks of defining and assessing personality-impairment severity.

Delineating the joint hierarchical structure of clinical and personality disorders in an outpatient psychiatric sample

BACKGROUND

A large body of research has focused on identifying the optimal number of dimensions - or spectra - to model individual differences in psychopathology. Recently, it has become increasingly clear that ostensibly competing models with varying numbers of spectra can be synthesized in empirically derived hierarchical structures.

METHODS AND MATERIALS

We examined the convergence between top-down (bass-ackwards or sequential principal components analysis) and bottom-up (hierarchical agglomerative cluster analysis) statistical methods for elucidating hierarchies to explicate the joint hierarchical structure of clinical and personality disorders. Analyses examined 24 clinical and personality disorders based on semi-structured clinical interviews in an outpatient psychiatric sample (n=2900).

RESULTS

The two methods of hierarchical analysis converged on a three-tier joint hierarchy of psychopathology. At the lowest tier, there were seven spectra - disinhibition, antagonism, core thought disorder, detachment, core internalizing, somatoform, and compulsivity - that emerged in both methods. These spectra were nested under the same three higher-order superspectra in both methods: externalizing, broad thought dysfunction, and broad internalizing. In turn, these three superspectra were nested under a single general psychopathology spectrum, which represented the top tier of the hierarchical structure.

CONCLUSIONS

The hierarchical structure mirrors and extends upon past research, with the inclusion of a novel compulsivity spectrum, and the finding that psychopathology is organized in three superordinate domains. This hierarchy can thus be used as a flexible and integrative framework to facilitate psychopathology research with varying levels of specificity (i.e., focusing on the optimal level of detailed information, rather than the optimal number of factors).

Interpersonal problems across levels of the psychopathology hierarchy

We examined the relationship between psychopathology and interpersonal problems in a sample of 825 clinical and community participants. Sixteen psychiatric diagnoses and five transdiagnostic dimensions were examined in relation to self-reported interpersonal problems. The structural summary method was used with the Inventory of Interpersonal Problems Circumplex Scales to examine interpersonal problem profiles for each diagnosis and dimension. We built a structural model of mental disorders including factors corresponding to detachment (avoidant personality, social phobia, major depression), internalizing (dependent personality, borderline personality, panic disorder, posttraumatic stress, major depression), disinhibition (antisocial personality, drug dependence, alcohol dependence, borderline personality), dominance (histrionic personality, narcissistic personality, paranoid personality), and compulsivity (obsessive-compulsive personality). All dimensions showed good interpersonal prototypicality (e.g., detachment was defined by a socially avoidant/nonassertive interpersonal profile) except for internalizing, which was diffusely associated with elevated interpersonal distress. The findings for individual disorders were largely consistent with the dimension that each disorder loaded on, with the exception of the internalizing and dominance disorders, which were interpersonally heterogeneous. These results replicate previous findings and provide novel insights into social dysfunction in psychopathology by wedding the power of hierarchical (i.e., dimensional) modeling and interpersonal circumplex assessment.

No Reliable Evidence That Emotional Disorders Are Proximal Antecedents, Concomitants, or Short-Term Consequences of First Episode Alcohol Use Disorders in a Representative Community Sample

OBJECTIVE

Emotional disorders and alcohol use disorders (AUDs) frequently demonstrate significant 12-month and lifetime comorbid associations. This comorbidity has been incorporated into influential theories of addiction processes that posit direct or indirect causal associations between these disorder categories. There is currently no consensus, however, about the sequencing of these disorders. In this research, longitudinal data from a regionally representative community sample were used to evaluate whether emotional disorders constitute a proximal antecedent, concomitant, or short-term consequence of first episode (or index) AUDs.

METHOD

Participants were 131 persons with index AUD episodes lasting 12 months or more and 131 matched controls. For each participant with an AUD, the presence or absence of an emotional disorder was coded for three time intervals: (a) the 12 months preceding full syndrome AUD episode onset; (b) the last 12 months of the AUD episode; and (c) the 12 months following complete symptom AUD episode offset. These intervals, referenced to participant age, were matched to those of control participants, and emotional disorder rate comparisons subsequently performed both within and between groups.

RESULTS

Findings indicated an absence of significant within- or between-subject differences in emotional disorder rates, suggesting that the association between AUDs and emotional disorders is neither directional nor systematic. There was also no indication that the length of the AUD episode increased risk for an emotional disorder in the year following AUD offset.

CONCLUSIONS

Overall, this research suggests that emotional disorders are generally independent events in relation to the index AUD episode.

Narcissistic Personality Disorder and the Structure of Common Mental Disorders

Narcissistic personality disorder (NPD) shows high rates of comorbidity with mood, anxiety, substance use, and other personality disorders. Previous bivariate comorbidity investigations have left NPD multivariate comorbidity patterns poorly understood. Structural psychopathology research suggests that two transdiagnostic factors, internalizing (with distress and fear subfactors) and externalizing, account for comorbidity among common mental disorders. NPD has rarely been evaluated within this framework, with studies producing equivocal results. We investigated how NPD related to other mental disorders in the internalizing-externalizing model using diagnoses from a nationally representative sample (N = 34,653). NPD was best conceptualized as a distress disorder. NPD variance accounted for by transdiagnostic factors was modest, suggesting its variance is largely unique in the context of other common mental disorders. Results clarify NPD multivariate comorbidity, suggest avenues for classification and clinical endeavors, and highlight the need to understand vulnerable and grandiose narcissism subtypes' comorbidity patterns and structural relations.

Identifying a borderline personality disorder prodrome: Implications for community screening

Elucidating early signs and symptoms of borderline personality disorder (BPD) has important implications for screening and identifying youth appropriate for early intervention. The purpose of this study was to identify dimensions of child temperament and psychopathology symptom severity that predict conversion to a positive screen for BPD over a 14-year follow-up period in a large, urban community sample of girls (n = 2 450). Parent and teacher reports of child temperament and psychopathology symptom severity assessed when girls were ages 5-8 years were examined as predictors of new-onset BPD cases when girls were ages 14-22 years. In the final model, parent and teacher ratings of emotionality remained significant predictors of new-onset BPD. Additionally, parent ratings of hyperactivity/impulsivity and depression severity, as well as teacher ratings of inattention severity, were also predictive. Results also revealed that elevations in these dimensions pose a notable increase in risk for conversion to BPD over the follow-up period. Supplementary analyses revealed that with the exception of parent-reported depression severity, these same predictors were associated with increases in BPD symptom severity over the follow-up period. These findings suggest BPD onset in adolescence and early adulthood can be detected from parent and teacher reports of temperament and symptom severity dimensions assessed in childhood. The identification of this prodrome holds promise for advancing early detection of children at risk prior to the development of the full-blown disorder. Copyright © 2017 John Wiley & Sons, Ltd.

A hierarchical causal taxonomy of psychopathology across the life span

We propose a taxonomy of psychopathology based on patterns of shared causal influences identified in a review of multivariate behavior genetic studies that distinguish genetic and environmental influences that are either common to multiple dimensions of psychopathology or unique to each dimension. At the phenotypic level, first-order dimensions are defined by correlations among symptoms; correlations among first-order dimensions similarly define higher-order domains (e.g., internalizing or externalizing psychopathology). We hypothesize that the robust phenotypic correlations among first-order dimensions reflect a hierarchy of increasingly specific etiologic influences. Some nonspecific etiologic factors increase risk for all first-order dimensions of psychopathology to varying degrees through a general factor of psychopathology. Other nonspecific etiologic factors increase risk only for all first-order dimensions within a more specific higher-order domain. Furthermore, each first-order dimension has its own unique causal influences. Genetic and environmental influences common to family members tend to be nonspecific, whereas environmental influences unique to each individual are more dimension-specific. We posit that these causal influences on psychopathology are moderated by sex and developmental processes. This causal taxonomy also provides a novel framework for understanding the heterogeneity of each first-order dimension: Different persons exhibiting similar symptoms may be influenced by different combinations of etiologic influences from each of the 3 levels of the etiologic hierarchy. Furthermore, we relate the proposed causal taxonomy to transdimensional psychobiological processes, which also impact the heterogeneity of each psychopathology dimension. This causal taxonomy implies the need for changes in strategies for studying the etiology, psychobiology, prevention, and treatment of psychopathology. (PsycINFO Database Record

The relation between attachment, personality, internalizing, and externalizing dimensions in adolescents with borderline personality disorder

The relation between attachment and personality features is an important field to explore in adolescent borderline personality disorder (BPD), and previous research has shown that personality features may be conceptualized within latent internalizing and externalizing dimensions. This cross-sectional study used a structural equation model to examine the association between the BPD participants' perception of attachment and personality features, mediated by the underlying internalizing/externalizing personality dimensions. Data were analyzed for 60 adolescents, ages 15 to 18 years, diagnosed with BPD who completed attachment and personality self-report measures. The authors' results showed a good fit of the model, suggesting a significant association between attachment and the internalizing/externalizing dimensions, which simultaneously congregate and influence personality traits. The perception of attachment anxiety was positively related to the internalizing dimension and at the same time negatively related to the externalizing dimension. However, the perception of attachment avoidance was not related to internalizing or externalizing personality dimensions.

Mapping the MMPI-2-RF Specific Problems Scales Onto Extant Psychopathology Structures

A main objective in developing the Minnesota Multiphasic Personality Inventory-2-Restructured Form (MMPI-2-RF; Ben-Porath & Tellegen, 2008 ) was to link the hierarchical structure of the instrument's scales to contemporary psychopathology and personality models for greater enhancement of construct validity. Initial evidence published with the Restructured Clinical scales has indicated promising results in that the higher order structure of these measures maps onto those reported in the extant psychopathology literature. This study focused on evaluating the internal structure of the Specific Problems and Interest scales, which have not yet been examined in this manner. Two large, mixed-gender outpatient and correctional samples were used. Exploratory factor analyses revealed consistent evidence for a 4-factor structure representing somatization, negative affect, externalizing, and social detachment. Convergent and discriminant validity analyses in the outpatient sample yielded a pattern of results consistent with expectations. These findings add further evidence to indicate that the MMPI-2-RF hierarchy of scales map onto extant psychopathology literature, and also add support to the notion that somatization and detachment should be considered important higher order domains in the psychopathology literature.