Locating eating pathology within an empirical diagnostic taxonomy: evidence from a community-based sample

Integrating "Lumpers" versus "Splitters" Perspectives: Toward a Hierarchical Dimensional Taxonomy of Eating Disorders from Clinician Ratings

This study describes a hierarchical dimensional model of eating-disorder (ED) classification based on the Hierarchical Taxonomy of Psychopathology (HiTOP). Participants were community-recruited adults with an ED (N=252; 81.9% female). We used a modified version of Goldberg's (2006) method, which involved sequentially extracting latent factors using exploratory structural equation modeling, resulting in a 10-factor hierarchical-dimensional model. Dimensions predicted 92.4% and 58.7% of the variance in recovery outcomes at six-month and one-year, respectively. Compared to other illness indicators (e.g., DSM diagnoses, dimensional ED impairment scores, weight/shape overvaluation, and DSM ED severity specifiers), hierarchical dimensions predicted .88 to 334 times more variance in ED behaviors at baseline and 1.95 to 80.8 times more variance in psychiatric impairment at one-year follow-up. Results suggest that reducing within-disorder heterogeneity for EDs within the broader context of internalizing symptoms provides a powerful framework from which to predict outcomes and understand symptoms experienced by those with EDs.

Fear of negative evaluation and intolerance of uncertainty: Assessing potential internalizing correlates of eating disorder-related clinical impairment and differences across diagnostic presentations

The Hierarchical Taxonomy of Internalizing Dimensions for Eating Disorders model positions eating disorder (ED) symptoms on an internalizing dimension alongside anxiety and mood symptoms. Symptom dimensions falling under the internalizing subfactors of distress (e.g., social anxiety) and fear/avoidance (e.g., panic, compulsions, checking) may differentially guide treatment. We examined relations between fear of negative evaluation and intolerance of uncertainty (core features of social anxiety and obsessive-compulsive disorder, respectively) and ED-related impairment and potential diagnostic differences. We hypothesized that: (a) fear of negative evaluation and intolerance of uncertainty would be related to ED-related impairment, (b) the relation between fear of negative evaluation and impairment would be strongest among individuals with "binge-eating syndromes" (i.e., bulimia nervosa [BN], binge-eating disorder [BED]), and (c) the relation between intolerance of uncertainty and impairment would be strongest among individuals with "weight-phobic syndromes" (i.e., anorexia nervosa [AN], BN, atypical AN). Participants (N = 236) included children/adolescents and adults evaluated for outpatient ED treatment. Participants completed questionnaires and semi-structured diagnostic interviews. Greater fear of negative evaluation and greater intolerance of uncertainty were related to greater clinical impairment, and the strength of these relations depended on ED diagnosis. Fear of negative evaluation was related to impairment among individuals with AN and atypical AN, and intolerance of uncertainty was related to impairment for individuals with AN, BN, and atypical AN. We identified fear of negative evaluation and intolerance of uncertainty as correlates of clinical impairment, highlighting the potential utility of developing treatments to target these internalizing constructs, especially for individuals with weight-phobic syndromes.

Identifying transdiagnostically relevant risk and protective factors for internalizing psychopathology: An umbrella review of longitudinal meta-analyses

Internalizing mental disorders are highly comorbid with one another, and evidence suggests that etiological processes contributing to these disorders often overlap. This systematic umbrella review aimed to synthesize meta-analytic evidence from observational longitudinal studies to provide a comprehensive overview of potentially modifiable risk and protective factors across the depressive, anxiety, and eating disorder psychopathology domains. Six databases were searched from inception to August 2022. Only meta-analyses of longitudinal studies that accounted for baseline psychopathology (either via exclusion of baseline cases or statistical adjustment for baseline symptoms) were included. Methodological quality of meta-analyses was evaluated using the AMSTAR 2, and quality of evidence for each analysis was rated using GRADE. Study selection, quality assessment, and data extraction were conducted in duplicate by independent reviewers. The protocol for this review was registered with PROSPERO (CRD42020185575). Sixty-one meta-analyses were included, corresponding to 137 meta-analytic estimates for unique risk/protective factor-psychopathology relationships. Most potential risk/protective factors, however, were examined only in relation to depressive psychopathology. Concern over mistakes and self-esteem were the only risk and protective factors, respectively, identified as statistically significant across depressive, anxiety, and eating disorder psychopathology domains. Eight risk factors and four protective factors also emerged as having transdiagnostic relevance across depressive and anxiety domains. Results suggest intervention targets that may be valuable for preventing/treating the spectrum of internalizing psychopathology and reducing comorbidity. However, few factors were identified as transdiagnostically relevant across all three internalizing domains, highlighting the need for more research investigating similar sets of potential risk/protective factors across internalizing domains.

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.

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.

Structural brain correlates of eating pathology symptom dimensions: A systematic review

There has been an increasing interest in neurobiological correlates of psychopathology with a growing consensus that such research questions are best investigated through dimensional approaches to psychopathology. One area that has been noticeably understudied in this regard is eating pathology. Therefore, the goal of the current systematic review was to summarize research on structural brain correlates of symptom dimensions of eating-related pathology. Google Scholar and PubMed databases were searched following the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines. Results suggest that restrained eating is associated with increased GMV (gray matter volume) in regions involved in emotional, visuo-spatial, attentional, and self-related processing. Disinhibitory eating is associated with increased GMV in regions involved in reward value of food-related stimuli and decreased GMV in regions involved in emotional/motivational processing. All told, results suggest that dimensions of eating pathology have differential neuroanatomical correlates potentially suggesting differences in neural pathways which has the potential to support future biologically-driven classification and treatment efforts.

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.

A detailed hierarchical model of psychopathology: From individual symptoms up to the general factor of psychopathology

Much of our knowledge about the relationships among domains of psychopathology is built on the diagnostic categories described in the Diagnostic and Statistical Manual of Mental Disorders (DSM), with relatively little research examining the symptom-level structure of psychopathology. The aim of this study was to delineate a detailed hierarchical model of psychopathology-from individual symptoms up to a general factor of psychopathology-allowing both higher- and lower-order dimensions to depart from the structure of the DSM. We explored the hierarchical structure of hundreds of symptoms spanning 18 DSM disorders, in two large samples-one from the general population in Australia (n = 3175), and the other a treatment-seeking clinical sample from the USA (n = 1775). There was marked convergence between the two samples, offering new perspectives on higher-order dimensions of psychopathology. We also found several noteworthy departures from the structure of the DSM in the symptom-level data.

Sexual orientation concealment and mental health: A conceptual and meta-analytic review

Identity concealment affects all sexual minority individuals, with potentially complex mental health implications. Concealing a sexual minority identity can simultaneously generate the stress of hiding, protect against the stress of discrimination, and keep one apart from sexual minority communities and their norms and supports. Not surprisingly, existing studies of the association between sexual orientation concealment and mental health problems show contradictory associations-from positive to negative to null. This meta-analysis attempts to resolve these contradictions. Across 193 studies (n = 92,236) we find a small positive association between sexual orientation concealment and internalizing mental health problems (i.e., depression, anxiety, distress, problematic eating; ESr = 0.126; 95% CI [0.102, 0.151]) and a small negative association between concealment and substance use problems (ESr = -0.061; 95% CI [-0.096, -0.026]). The association between concealment and internalizing mental health problems was larger for those studies that assessed concealment as lack of open behavior, those conducted recently, and those with younger samples; it was smaller in exclusively bisexual samples. Year of data collection, study location, and sample gender, education, and racial/ethnic composition did not explain between-study heterogeneity. Results extend existing theories of stigma and sexual minority mental health, suggesting potentially distinct stress processes for internalizing problems versus substance use problems, life course fluctuations in the experience of concealment, distinct experiences of concealment for bisexual individuals, and measurement recommendations for future studies. Small overall effects, heavy reliance on cross-sectional designs, relatively few effects for substance use problems, and the necessarily coarse classification of effect moderators in this meta-analysis suggest future needed methodological advances to further understand the mental health of this still-increasingly visible population. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Divergences among Three Higher-Order Self-Report Psychopathology Factors in Normal-Range Personality and Emotional Late Positive Potential Reactivity

Personality is related to psychopathology and its higher-order structures, but there is little research regarding neurobiological associations of higher-order psychopathology factors. This study examined the factor structure of a wide range of psychopathology and its associations with both personality and emotional reactivity revealed through the late positive potential (LPP) in a sample of 275 undergraduates. A three-factor structure of psychopathology emerged comprising Internalizing (INT), Externalizing (EXT), and Aberrant Experiences (ABX). EXT predicted aggressive disconstraint, whereas both INT and ABX predicted Alienation and Stress Reaction. INT uniquely predicted low Well-Being, and ABX predicted a rigid absorption combined with interpersonal detachment. ABX correlated with reduced parietal emotional LPP reactivity, whereas INT correlated with stronger frontal LPP reactivity to emotional versus neutral pictures.

A Meta-analytic Review of the Five Minute Speech Sample as a Measure of Family Emotional Climate for Youth: Relations with Internalizing and Externalizing Symptomatology

The Five Minute Speech Sample's (FMSS) measure of parental expressed emotion (EE), defined as criticism (CRIT) and emotional overinvolvement (EOI), has been increasingly used to measure family emotional climate in relation to youth psychopathological development. As CRIT and EOI were defined based on adults, a meta-analysis and systematic review was conducted to analyze the presence and strength of an effect among maternal CRIT and EOI with youth internalizing and externalizing problems. A random effects model was used to analyze the 42 studies on families of youth (aged 1.5 to 19). There was a small, significant relation among maternal CRIT with youth internalizing and externalizing problems and among EOI with youth internalizing problems. EOI was not significantly related to externalizing problems. The current study suggests that the FMSS measure of CRIT is a more robust correlate of youth internalizing and externalizing symptoms than EOI, but EOI does relate to internalizing behaviors. Few moderators emerged, highlighting a continued need to identify factors accounting for heterogeneity. The current results suggest that the FMSS measure of CRIT may be a valuable measure of the family emotional climate in families of youth, but care should be taken when including analyses on EOI.

Eating disorders among patients with borderline personality disorder: understanding the prevalence and psychopathology

BACKGROUND

Treatment protocols can be bolstered and etiological and maintenance factors can be recognized more easily by a superior understanding of emotions and emotion regulation in the comorbidity of borderline personality disorder (BPD) and feeding and eating disorders (FEDs). Therefore, the present study aimed at investigating the prevalence and psychopathology of FEDs in patients with BPD.

METHODS

In this cross-sectional study, 220 participants were examined in three groups, namely BPD (n = 38), BPD + FEDs (n = 72), and healthy controls (n = 110), from August 2018 to November 2019. The participants were selected by systematic random sampling among the patients who referred to Baharan psychiatric hospital in Zahedan, Iran, with the sampling interval of 3. The subjects were evaluated by 28-item General Health Questionnaire (GHQ-28), Borderline Personality Inventory (BPI), Structured Clinical Interview for DSM-5 Personality Disorders (SCID-5-PD), Structured Clinical Interviews for DSM-5: Research Version (SCID-5-RV), the 26-item Eating Attitudes Test (EAT-26), 20-item Toronto Alexithymia Scale (TAS-20), Beck Anxiety Inventory (BAI), and Beck Depression Inventory-II (BDI-II).

RESULTS

The results showed a 65.4% (n = 72) prevalence of FEDs in patients with BPD. Also, the highest and lowest prevalence rates were reported for other specified feeding and eating disorders (51.3%) and bulimia nervosa (6.9%), respectively. Although the highest mean score of TAS-20 was related to anorexia nervosa, there was no significant difference between the scores of various types of FEDs. The mediation analysis showed that anxiety and depression would play a mediating role in the relationship between alexithymia and eating-disordered behaviors.

CONCLUSIONS

The results have suggested that alexithymia, anxiety, and depression should receive clinical attention as potential therapeutic targets in the comorbidity of BPD and FEDs. The clinical implications of the research have been conducted to date, and directions for future research have been discussed.

Identifying Risk Factors for Disordered Eating among Female Youth in Primary Care

Eating disorders are a serious, life-threating condition impacting adolescents and young adults. Providers in primary care settings have an important role in identifying disordered eating (DE) symptoms. Unfortunately, symptoms go undetected in 50% of patients in medical settings. Using the behavioral health screen, this study identified DE risk profiles in a sample of 3620 female adolescents and young adults (ages 14-24), presenting in primary care. A latent class analysis with twenty psychosocial factors identified three DE risk groups. The group at highest risk for DE was characterized by endorsement of internalizing symptoms and a history of trauma. The next risk group consisted of those with externalizing symptoms, particularly substance use. The group at lowest risk for DE reported more time spent with friends compared to their peers. Primary care providers and psychiatric teams can benefit from knowing the psychosocial risk patterns affiliated with DE, and using brief, comprehensive screening tools to identify these symptoms.

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.

A new approach to eating-disorder classification: Using empirical methods to delineate diagnostic dimensions and inform care

OBJECTIVE

Despite changes to the diagnostic criteria for eating disorders (EDs) in the DSM-5, the current diagnostic system for EDs has limited ability to inform treatment planning and predict outcomes. Our objective was to test the clinical utility of a novel dimensional approach to understanding the structure of ED psychopathology.

METHOD

Participants (N = 243; 82.2% women) were community-recruited adults with a DSM-5 ED assessed at baseline, 6-month, and 1-year follow-up. Hierarchical factor analysis was used to identify a joint hierarchical-dimensional structure of eating, mood, and anxiety symptoms. Exploratory structural equation modeling was used to test the ability of the dimensional model to predict outcomes.

RESULTS

At the top of the hierarchy, we identified a broad Internalizing factor that reflected diffuse symptoms of eating, mood, and anxiety disorders. Internalizing branched into three subfactors: distress, fear-avoidance (fears of certain stimuli and behaviors to neutralize fears, including ED behaviors designed to reduce fear of weight gain), and body dissatisfaction, which was nested within distress. The lowest level of the hierarchy was characterized by 15 factors. The hierarchical model predicted 60.1% of the variance in outcomes at 6-month follow-up, whereas all DSM eating, mood, and anxiety disorders combined predicted 35.8% of the variance in outcomes.

DISCUSSION

A dimensional approach to understanding and diagnosing EDs improved the ability to prospectively predict clinical course above-and-beyond the traditional categorical (DSM-based) approach. Our findings have implications for endeavors to improve the prediction of ED prognosis and course, and to develop more effective trans-diagnostic treatments.

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).

Understanding eating disorders within internalizing psychopathology: A novel transdiagnostic, hierarchical-dimensional model

BACKGROUND

Several problems with the classification and diagnosis of eating disorders (EDs) have been identified, including proliferation of 'other specified' diagnoses, within-disorder heterogeneity, and frequent diagnostic migration over time. Beyond problems within EDs, past research suggested that EDs fit better in a spectrum of internalizing psychopathology (characterized by mood and anxiety disorders) than in a separate diagnostic class.

PURPOSE

To develop a transdiagnostic, hierarchical-dimensional model relevant to ED psychopathology that: 1) reduces diagnostic heterogeneity, 2) includes important dimensions of internalizing psychopathology that are often excluded from ED diagnostic models, and 3) predicts clinical impairment.

PROCEDURES

Goldberg's (2006) method and exploratory structural equation modeling were used to identify a hierarchical model of internalizing in community-recruited adults with EDs (N=207).

FINDINGS

The lowest level of the hierarchy was characterized by 15 factors that defined specific aspects of eating, mood, and anxiety disorders. At the two-factor level, Internalizing bifurcated into Distress (low well-being, body dissatisfaction, suicidality, dysphoria, ill temper, traumatic intrusions) and Fear-Avoidance (claustrophobia, social avoidance, panic symptoms, dietary restricting, excessive exercise, and compulsions). Results showed that the lowest level of the hierarchy predicted 67.7% of the variance in clinical impairment. In contrast, DSM eating, mood, and anxiety disorders combined predicted 10.6% of the variance in impairment secondary to an ED.

CONCLUSIONS

The current classification model represents an improvement over traditional nosologies for predicting clinically relevant outcomes for EDs.

Phenotypic factor analysis of psychopathology reveals a new body-related transdiagnostic factor

Comorbidity challenges the notion of mental disorders as discrete categories. An increasing body of literature shows that symptoms cut across traditional diagnostic boundaries and interact in shaping the latent structure of psychopathology. Using exploratory and confirmatory factor analysis, we reveal the latent sources of covariation among nine measures of psychopathological functioning in a population-based sample of 13024 Finnish twins and their siblings. By implementing unidimensional, multidimensional, second-order, and bifactor models, we illustrate the relationships between observed variables, specific, and general latent factors. We also provide the first investigation to date of measurement invariance of the bifactor model of psychopathology across gender and age groups. Our main result is the identification of a distinct "Body" factor, alongside the previously identified Internalizing and Externalizing factors. We also report relevant cross-disorder associations, especially between body-related psychopathology and trait anger, as well as substantial sex and age differences in observed and latent means. The findings expand the meta-structure of psychopathology, with implications for empirical and clinical practice, and demonstrate shared mechanisms underlying attitudes towards nutrition, self-image, sexuality and anger, with gender- and age-specific features.

Application of structural equation mixture modeling to characterize the latent structure of eating pathology

OBJECTIVE

Several theoretical models describe the structure of eating disorders (EDs), and a burgeoning empirical literature has sought to identify whether eating pathology is conceptualized best as categorical (presence or absence of disorder), dimensional (continuous), or a hybrid of categories and dimensions.

METHODS

This study used structural equation mixture modeling (SEMM) to identify the latent structure of EDs. Items from the Eating Pathology Symptoms Inventory (EPSI) were administered to individuals with EDs (N = 344). Select EPSI scales and body mass index were indicators in subsequent SEMM analyses. The Inventory of Depression and Anxiety Symptoms (IDAS), ED diagnoses, and select demographic variables were used as validators using chi-square or MANOVA.

RESULTS

Categorical models fit the data better than latent dimensional or hybrid models. Latent profile 1 (LP1) was non-fat-phobic restricting anorexia nervosa; LP2, an obese, binge-eating class; LP3, non-purging bulimia nervosa; LP4, fat-phobic restricting anorexia nervosa; and LP5, multiple purging bulimia nervosa. External validation analyses indicated that LP4 and LP5 had the highest non-ED-related psychopathology.

DISCUSSION

These findings indicate that there is substantial variability in the phenomenology of traditional DSM-based ED categories across latent profiles, and highlight the salience of certain ED phenotypes that have been debated in the literature. © 2016 Wiley Periodicals, Inc.(Int J Eat Disord 2017; 50:542-550).

The dimensional nature of eating pathology: Evidence from a direct comparison of categorical, dimensional, and hybrid models

Eating disorders are conceptualized as categorical rather than dimensional in the current major diagnostic system (Diagnostic and Statistical Manual of Mental Disorders; 5th ed.; American Psychiatric Association, 2013) and in many previous studies. However, previous research has not critically evaluated this assumption or tested hybrid models (e.g., modeling latent variables with both dimensional and categorical features). Accordingly, the current study directly compared categorical, dimensional, and hybrid models for eating pathology in a large, population-based sample. Participants included 3,032 female and male twins (ages 9-30 years) from the Michigan State University Twin Registry. The Minnesota Eating Behaviors Survey was used to assess disordered eating symptoms including body dissatisfaction, weight preoccupation, binge eating, and compensatory behaviors. Results showed that dimensional models best fit the data in the overall sample as well as across subgroups divided by sex and pubertal status (e.g., prepubertal vs. postpubertal). It is interesting to note that the results favored more categorical models when using a case-control subset of our sample with participants who either endorsed substantial eating pathology or no/little eating pathology. Overall, findings provide support for a dimensional conceptualization of eating pathology and underscore the importance of using community samples to capture the full range of severity of eating pathology when investigating questions about taxonomy. (PsycINFO Database Record

Striatal dopamine type 2 receptor availability in anorexia nervosa

The neurobiology of anorexia nervosa remains incompletely understood. Here we utilized PET imaging with the radiotracer [(11)C]raclopride to measure striatal dopamine type 2 (D2) receptor availability in patients with anorexia nervosa. 25 women with anorexia nervosa who were receiving treatment in an inpatient program participated, as well as 25 control subjects. Patients were scanned up to two times with the PET tracer [(11)C]raclopride: once while underweight, and once upon weight restoration. Control subjects underwent one PET scan. In the primary analyses, there were no significant differences between underweight patients (n=21) and control subjects (n=25) in striatal D2 receptor binding potential. Analysis of subregions (sensorimotor striatum, associative striatum, limbic striatum) did not reveal differences between groups. In patients completing both scans (n=15), there were no detectable changes in striatal D2 receptor binding potential after weight restoration. In this sample, there were no differences in striatal D2 receptor binding potential between patients with anorexia nervosa and control subjects. Weight restoration was not associated with a change in striatal D2 receptor binding. These findings suggest that disturbances in reward processing in this disorder are not attributable to abnormal D2 receptor characteristics, and that other reward-related neural targets may be of greater relevance.

A metastructural model of mental disorders and pathological personality traits

BACKGROUND

Psychiatric co-morbidity is extensive in both psychiatric settings and the general population. Such co-morbidity challenges whether DSM-based mental disorders serve to effectively carve nature at its joints. In response, a substantial literature has emerged showing that a small number of broad dimensions - internalizing, externalizing and psychoticism - can account for much of the observed covariation among common mental disorders. However, the location of personality disorders within this emerging metastructure has only recently been studied, and no studies have yet examined where pathological personality traits fit within such a broad metastructural framework.

METHOD

We conducted joint structural analyses of common mental disorders, personality disorders and pathological personality traits in a sample of 628 current or recent psychiatric out-patients.

RESULTS

Bridging across the psychopathology and personality trait literatures, the results provide evidence for a robust five-factor metastructure of psychopathology, including broad domains of symptoms and features related to internalizing, disinhibition, psychoticism, antagonism and detachment.

CONCLUSIONS

These results reveal evidence for a psychopathology metastructure that (a) parsimoniously accounts for much of the observed covariation among common mental disorders, personality disorders and related personality traits, and (b) provides an empirical basis for the organization and classification of mental disorder.

Disorders without borders: current and future directions in the meta-structure of mental disorders

PURPOSE

Classification is the cornerstone of clinical diagnostic practice and research. However, the extant psychiatric classification systems are not well supported by research evidence. In particular, extensive comorbidity among putatively distinct disorders flags an urgent need for fundamental changes in how we conceptualize psychopathology. Over the past decade, research has coalesced on an empirically based model that suggests many common mental disorders are structured according to two correlated latent dimensions: internalizing and externalizing.

METHODS

We review and discuss the development of a dimensional-spectrum model which organizes mental disorders in an empirically based manner. We also touch upon changes in the DSM-5 and put forward recommendations for future research endeavors.

RESULTS

Our review highlights substantial empirical support for the empirically based internalizing-externalizing model of psychopathology, which provides a parsimonious means of addressing comorbidity.

CONCLUSIONS

As future research goals, we suggest that the field would benefit from: expanding the meta-structure of psychopathology to include additional disorders, development of empirically based thresholds, inclusion of a developmental perspective, and intertwining genomic and neuroscience dimensions with the empirical structure of psychopathology.

Transdiagnostic factors of psychopathology and substance use disorders: a review

PURPOSE

Research on the structure of mental disorders and comorbidity indicates that many forms of psychopathology and substance use disorders are manifestations of relatively few transdiagnostic latent factors. These factors have important consequences for mental disorder research and applied practice.

METHODS

We provide an overview of the transdiagnostic factor literature, with particular focus on recent advances.

RESULTS

Internalizing and externalizing transdiagnostic factors have been well characterized in terms of their structures, links with disorders, stability, and statistical properties (e.g., invariance and distributions). Research on additional transdiagnostic factors, such as thought disorder, is quickly advancing latent structural models, as are integrations of transdiagnostic constructs with personality traits. Genetically informed analyses continue to clarify the origins of transdiagnostic factor levels, and links between these factors and important environmental exposures provide promising new avenues of inquiry.

CONCLUSIONS

Transdiagnostic factors account for the development and continuity of disorders and comorbidity over time, function as the primary links between disorders and important outcomes such as suicide, mediate associations between environmental exposures and disorders, provide an empirically supported classification system, and serve as foci for efficient, broadband intervention approaches. Overall, transdiagnostic factor research indicates the paramount importance of understanding these constructs and, thereby, broadening our understanding of mental disorder in general.

Association of eating disorder symptoms with internalizing and externalizing dimensions of psychopathology among men and women

OBJECTIVE

A large body of factor analytic research supports the idea that common mental disorders are organized along correlated latent dimensions termed internalizing and externalizing. Eating disorders (EDs) have been associated with both internalizing (mood and anxiety disorders) and externalizing (substance use, antisocial personality disorder) forms of psychopathology. Previous studies found that EDs are most strongly related to internalizing disorders. However, no previous factor analytic studies of EDs and the internalizing/externalizing dimensions have evaluated if EDs align with these spectra similarly for men and women. We examined the location of anorexia nervosa (AN), bulimia nervosa (BN), and binge eating disorder (BED) symptoms within this model of psychopathology among a sample of veterans, a population traditionally understudied in EDs.

METHOD

Data were from two studies of veterans and their intimate partners (N = 453 men and 307 women). Participants were administered the Structured Clinical Interview for DSM-IV without skip-outs. Lifetime symptom severity scores were used in confirmatory factor analytic models.

RESULTS

A model with AN, BN, and BED symptoms loading onto the distress subfactor of the internalizing domain fit the data best in the full sample and the male and female subsamples. This model was statistically equivalent for men and women.

DISCUSSION

All three EDs loaded onto distress, indicating that these conditions overlap with psychopathology characterized by negative affect. Investigating latent dimensions of psychopathology is one approach to identifying common factors that partially account for patterns of comorbidity among psychiatric disorders, which may aid in translating research findings into clinical practice.

The structure of psychopathological symptoms and the associations with DSM-diagnoses in treatment seeking individuals

BACKGROUND

Research on comorbidity of psychiatric disorders identifies broad superordinate dimensions as underlying structure of psychopathology. While a syndrome-level approach informs diagnostic systems, a symptom-level approach is more likely to represent the dimensional components within existing diagnostic categories. It may capture general emotional, cognitive or physiological processes as underlying liabilities of different disorders and thus further develop dimensional-spectrum models of psychopathology.

METHODS

Exploratory and confirmatory factor analyses were used to examine the structure of psychopathological symptoms assessed with the Brief Symptom Inventory in two outpatient samples (n=3171), including several correlated-factors and bifactor models. The preferred models were correlated with DSM-diagnoses.

RESULTS

A model containing eight correlated factors for depressed mood, phobic fear, aggression, suicidal ideation, nervous tension, somatic symptoms, information processing deficits, and interpersonal insecurity, as well a bifactor model fit the data best. Distinct patterns of correlations with DSM-diagnoses identified a) distress-related disorders, i.e., mood disorders, PTSD, and personality disorders, which were associated with all correlated factors as well as the underlying general distress factor; b) anxiety disorders with more specific patterns of correlations; and c) disorders defined by behavioural or somatic dysfunctions, which were characterised by non-significant or negative correlations with most factors.

CONCLUSIONS

This study identified emotional, somatic, cognitive, and interpersonal components of psychopathology as transdiagnostic psychopathological liabilities. These components can contribute to a more accurate description and taxonomy of psychopathology, may serve as phenotypic constructs for further aetiological research, and can inform the development of tailored general and specific interventions to treat mental disorders.

Hierarchical organization of axis I psychiatric disorder comorbidity through age 30

Hierarchical models of psychopathology based on substantial numbers of lifetime diagnostic categories have not been sufficiently evaluated, even though such models have relevance for theories of disorder etiology, course, or prognosis. In this research, a hierarchical component model of 16 Axis I disorders is derived, and model elements are evaluated in terms of their ability to demonstrate distinct associations with several clinically-relevant variables. Participants were 816 randomly selected adolescents from the community who were repeatedly assessed for psychiatric disorders and associated risk and protective factors over a 14-year period. First-degree relatives were also interviewed to establish their lifetime psychiatric history. Patterns of lifetime comorbidity among 16 psychiatric disorders were described at five levels of organization. In addition to the broadest level that accounted for the most variance in disorder covariation, evidence was obtained at successive levels in the hierarchy for internalizing and externalizing broad-band domains that could be subdivided into more refined clusters. The validity and potential utility of the resultant hierarchical model were further supported by distinct associations that components at each level had with exposure to childhood adversities, psychiatric disorders among first-degree relatives, and psychosocial functioning at ~age 30. A large number of DSM Axis I disorders can be described within broad-band internalizing and externalizing domains, and further differentiation within these domains is possible and likely useful for some purposes. Implications of this research for conceptualizing relations among psychiatric disorders are discussed.

Aggregation of lifetime Axis I psychiatric disorders through age 30: incidence, predictors, and associated psychosocial outcomes

Longitudinal data from representative birth cohorts on the aggregation of psychiatric disorders, or the cumulative number of unique diagnosed disorders experienced by persons within a circumscribed period, are limited. As a consequence, risk factors for and psychosocial implications of lifetime disorder aggregation in the general population remain largely unknown. This research evaluates the incidence, predictors, and psychosocial sequela of lifetime disorder aggregation from childhood through age 30. Over a 14-year period, participants in the Oregon Adolescent Depression Project (probands; N = 816) were repeatedly evaluated for psychiatric disorders and assessed with multiple measures of psychosocial functioning. First-degree relatives of probands (N = 2,414) were also interviewed to establish their lifetime psychiatric history. The cumulative prevalence of common lifetime psychiatric disorders for the proband sample was 71%. Three-quarters of all proband psychiatric disorders occurred among 37% of the sample, and 82% of all disorder diagnoses were made among persons who met criteria for at least one other lifetime disorder. Lifetime disorder aggregation in probands was predicted by lifetime psychiatric disorder densities among first-degree relatives and was related to heterotypic comorbidity patterns that included disorders from both internalizing and externalizing domains, most notably major depressive and alcohol use disorders. By age 30, disorder aggregation was significantly associated with mental health care service utilization and predictive of personality disorder pathology and numerous indicators of poor psychosocial functioning. Possible implications of disorder aggregation on the conceptualization of lifetime psychiatric disorder comorbidity are discussed.

Why do eating disorders and obsessive-compulsive disorder co-occur?

The purpose of this study was to use an alternative, dimensionally based approach to understanding the reasons for comorbidity between eating disorders and obsessive-compulsive disorder. Participants from a representative community sample (N=407; 47% female) completed self-report measures of eating pathology, obsessive-compulsive symptoms, perfectionism, and neuroticism. Hierarchical multiple regression indicated that neuroticism and perfectionism completely mediated associations between most obsessive-compulsive and eating disorder symptoms. However, body dissatisfaction shared unique associations with checking, cleaning, and obsessive rituals that could not be explained by these personality traits. Results suggest that shared personality traits play a key role in the comorbidity between eating disorders characterized by binge eating and dietary restraint and obsessive-compulsive disorder. Future studies are needed to examine whether similar underlying neurocognitive processes that give rise to compulsive checking, cleaning, and obsessive rituals may also contribute to the development and maintenance of body checking in individuals diagnosed with eating disorders.

The structure of common and uncommon mental disorders

BACKGROUND

Co-morbidity patterns in epidemiological studies of mental illness consistently demonstrate that a latent internalizing factor accounts for co-morbidity patterns among unipolar mood and anxiety disorders, whereas a latent externalizing factor underlies the covariation of substance-use disorders and antisocial behaviors. However, this structure needs to be extended to include a broader range of disorders.

METHOD

Exploratory and confirmatory factor analyses were used to examine the structure of co-morbidity using data from the Collaborative Psychiatric Epidemiological Surveys (n = 16 233).

RESULTS

In the best-fitting model, eating and bipolar disorders formed subfactors within internalizing, impulse control disorders were indicators of externalizing, and factor-analytically derived personality disorder scales split between internalizing and externalizing.

CONCLUSIONS

This was the first large-scale nationally representative study that has included uncommon mental disorders with sufficient power to examine their fit within a structural model of psychopathology. The results of this study have important implications for conceptualizing myriad mental disorders.

A review of attention biases in women with eating disorders

There is robust evidence that women with eating disorders (EDs) display an attention bias (AB) for disorder-salient stimuli. Emerging data suggest that the presence of these biases may be due, in part, to neurological deficits, such as poor set shifting and weak central coherence. While some have argued that these biases function to predispose and/or act to maintain disordered eating behaviours, evidence supporting this view has rarely been examined. This report summarises and integrates the existing literature on AB in EDs and other related psychiatric disorders to better understand its potential role in the development and maintenance of an ED. The domains reviewed include experimental data using the dot-probe and modified Stroop task and neurobiological findings on AB in women with EDs as well as the role of AB in current theoretical models. We conclude by proposing an integrated model on the role of AB in EDs and discuss treatment approaches aimed at modifying these biases.

Parental disorders, childhood abuse, and binge eating in a large community sample

OBJECTIVE

Genetic and nonshared environmental factors are implicated in the etiology of binge eating behaviors (BEB), with genetic risk expressed as parental psychopathology. Traumatic experiences including child abuse predict onset of BEB. It is not clear if each separately contribute to BEB, or whether parental pathology leads to abuse which in turn influences BEB.

METHOD

Data were obtained from the National Comorbidity Survey-Replication (N = 2960). Through structural equation modeling, we estimated unique and combined effects of mother's and father's internalizing (INT) and externalizing (EXT) disorders, and child abuse on BEB.

RESULTS

Parental INT and EXT psychopathology contributed to child abuse and BEB. Abuse predicted BEB and partially mediated associations between parental psychopathology and BEB.

DISCUSSION

Results emphasize the value of models that incorporate nature and nurture to understand risk for psychopathology in offspring, with childhood abuse being one mediator of how parental psychopathology may reflect genetic risk and influence environmental risk.

Change in binge eating and binge eating disorder associated with migration from Mexico to the U.S

Exposure to Western popular culture is hypothesized to increase risk for eating disorders. This study tests this hypothesis with respect to the proposed diagnosis of binge eating disorder (BED) in an epidemiological sample of people of Mexican origin in Mexico and the U.S. Data come from the Mexico National Comorbidity Survey, National Comorbidity Survey Replication, and National Latino and Asian American Survey (N = 2268). Diagnoses were assessed with the WMH-CIDI. Six groups were compared: Mexicans with no migrant family members, Mexicans with at least one migrant family member, Mexican return-migrants, Mexican-born migrants in the U.S., and two successive generations of Mexican-Americans in the U.S. The lifetime prevalence of BED was 1.6% in Mexico and 2.2% among Mexican-Americans. Compared with Mexicans in families with migrants, risk for BED was higher in US-born Mexican-Americans with two U.S.-born parents (aHR = 2.58, 95% CI 1.12-5.93). This effect was attenuated by 24% (aHR = 1.97, 95% CI 0.84-4.62) with adjustment for prior-onset depressive or anxiety disorder. Adjustment for prior-onset conduct disorder increased the magnitude of association (aHR = 2.75, 95% CI 1.22-6.20). A similar pattern was observed for binge eating. Among respondents reporting binge eating, onset in the U.S. (vs. Mexico) was not associated with prevalence of further eating disorder symptoms. Migration from Mexico to the U.S. is associated with an increased risk for BED that may be partially attributable to non-specific influences on internalizing disorders. Among respondents reporting binge eating in either country, similar levels of further symptoms were endorsed, suggesting some cross-cultural generalizability of criteria.