Kelsie T. Forbush

The Hierarchical Taxonomy of Psychopathology (HiTOP) : A Dimensional Alternative to Traditional Nosologies

The reliability and validity of traditional taxonomies are limited by arbitrary boundaries between psychopathology and normality, often unclear boundaries between disorders, frequent disorder co-occurrence, heterogeneity within disorders, and diagnostic instability. These taxonomies went beyond evidence available on the structure of psychopathology and were shaped by a variety of other considerations, which may explain the aforementioned shortcomings. The Hierarchical Taxonomy Of Psychopathology (HiTOP) model has emerged as a research effort to address these problems. It constructs psychopathological syndromes and their components/subtypes based on the observed covariation of symptoms, grouping related symptoms together and thus reducing heterogeneity. It also combines co-occurring syndromes into spectra, thereby mapping out comorbidity. Moreover, it characterizes these phenomena dimensionally, which addresses boundary problems and diagnostic instability. Here, we review the development of the HiTOP and the relevant evidence. The new classification already covers most forms of psychopathology. Dimensional measures have been developed to assess many of the identified components, syndromes, and spectra. Several domains of this model are ready for clinical and research applications. The HiTOP promises to improve research and clinical practice by addressing the aforementioned shortcomings of traditional nosologies. It also provides an effective way to summarize and convey information on risk factors, etiology, pathophysiology, phenomenology, illness course, and treatment response. This can greatly improve the utility of the diagnosis of mental disorders. The new classification remains a work in progress. However, it is developing rapidly and is poised to advance mental health research and care significantly as the relevant science matures.

Neuropsychological characteristics and personality traits in pathological gambling.

INTRODUCTION Pathological gambling disorder (PG) has been associated with fronto-temporal dysfunction and maladaptive personality traits, such as impulsivity and novelty seeking. The purpose of this study was to examine the predictive variance of neuropsychological and personality characteristics in PG. METHODS Persons with PG (n=25) and a comparison group (n=34) were administered a battery of neuropsychological tests, the Temperament and Character Inventory, and the Barratt Impulsiveness Scale. Subjects with PG had evidence of fronto-temporal dysfunction as assessed by the Stroop, Wisconsin Card Sorting Test-64, Wechsler Adult Intelligence Scale Letter-Number Sequencing, Controlled Oral Word Association Test, and Boston Diagnostic Aphasia Examination Animal Naming Test. RESULTS Subjects with PG also had impaired decision making on the Iowa Gambling Task. PG subjects had elevated levels of impulsivity, novelty seeking, and harm avoidance, and lower levels of self-directedness and cooperativeness. Logistic regression analyses indicated that neuropsychological variables did not add significant incremental variance over personality traits in predicting PG (Block chi-square=5.19, P=.074), while personality variables added significant incremental variance over neuropsychological traits in predicting PG (Block chi-square=25.13, P<.001). CONCLUSION These results suggest that personality traits are better predictors than neuropsychological characteristics of whether someone has PG.

The effect of pathological gambling on families, marriages, and children.

Pathological gambling (PG) is widely reported to have negative consequences on marriages, families, and children. Empirical evidence is only now accumulating but when put together with anecdotal information, the extent of these problems is clear. PG contributes to chaos and dysfunction within the family unit, disrupts marriages, leading to high rates of separation and divorce, and is associated with child abuse and neglect. Divorce rates are high, not surprising in light of reports that these marriages are often abusive. Research shows that the families of pathological gamblers are filled with members who gamble excessively, suffer from depressive or anxiety disorders, and misuse alcohol, drugs, or both. Families of persons with PG are also large, a variable independently related to family dysfunction. The authors review the evidence on the impact of PG on families, marriages, and offspring, and make recommendations for future research targeting these problems.

Racial/ethnic differences in adults in randomized clinical trials of binge eating disorder.

OBJECTIVE Recent studies suggest that binge eating disorder (BED) is as prevalent among African American and Hispanic Americans as among Caucasian Americans; however, data regarding the characteristics of treatment-seeking individuals from racial and ethnic minority groups are scarce. The purpose of this study was to investigate racial/ethnic differences in demographic characteristics and eating disorder symptoms in participants enrolled in treatment trials for BED. METHOD Data from 11 completed randomized, controlled trials were aggregated in a single database, the Clinical Trials of Binge Eating Disorder (CT-BED) database, which included 1,204 Caucasian, 120 African American, and 64 Hispanic participants assessed at baseline. Age, gender, race/ethnicity, education, body mass index (BMI), binge eating frequency, and Eating Disorder Examination (EDE) Restraint, Shape, Weight, and Eating Concern subscale scores were examined. RESULTS Mixed model analyses indicated that African American participants in BED treatment trials had higher mean BMI than Caucasian participants, and Hispanic participants had significantly greater EDE shape, weight, and eating concerns than Caucasian participants. No racial or ethnic group differences were found on the frequency of binge eating episodes. Observed racial/ethnic differences in BED symptoms were not substantially reduced after adjusting for BMI and education. Comparisons between the CT-BED database and epidemiological data suggest limitations to the generalizability of data from treatment-seeking samples to the BED community population, particularly regarding the population with lower levels of education. CONCLUSIONS Further research is needed to assess alternative demographic, psychological, and culturally specific variables to better understand the diversity of treatment-seeking individuals with BED.

Development and validation of the Eating Pathology Symptoms Inventory (EPSI).

Many current measures of eating disorder (ED) symptoms have 1 or more serious limitations, such as inconsistent factor structures or poor discriminant validity. The goal of this study was to overcome these limitations through the development of a comprehensive multidimensional measure of eating pathology. An initial pool of 160 items was developed to assess 20 dimensions of eating pathology. The initial item pool was administered to a student sample (N = 433) and community sample (N = 407) to determine the preliminary structure of the measure using exploratory and confirmatory factor analyses. The revised measure was administered to independent samples of patients recruited from specialty ED treatment centers (N = 158), outpatient psychiatric clinics (N = 303), and students (N = 227). Analyses revealed an 8-factor structure characterized by Body Dissatisfaction, Binge Eating, Cognitive Restraint, Excessive Exercise, Restricting, Purging, Muscle Building, and Negative Attitudes Toward Obesity. Scale scores showed excellent convergent and discriminant validity; other analyses demonstrated that the majority of scales were invariant across sex and weight categories. Eating Pathology Symptoms Inventory scale scores had excellent internal consistency (median coefficient alphas ranged from .84-.89) and reliability over a 2- to 4-week period (mean retest r = .73). The current study represents one of the most comprehensive scale development projects ever conducted in the field of EDs and will enhance future basic and treatment research focused on EDs.

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.

The clinical utility of personality subtypes in patients with anorexia nervosa.

OBJECTIVE Elucidation of clinically relevant subtypes has been proposed as a means of advancing treatment research, but classifying anorexia nervosa (AN) patients into restricting and binge-eating/purging types has demonstrated limited predictive validity. This study aimed to evaluate whether an approach to classifying eating disorder patients on the basis of comorbid personality psychopathology has utility in predicting treatment response and readmission in patients with AN. METHOD Data were collected from 154 AN patients (M [SD] age = 25.6[9.4] years; 95.5% female; 96.8% Caucasian) at admission, discharge, and 3 months postdischarge from intensive treatment. Latent profile analysis of personality traits assessed at admission was performed to classify participants into personality subtypes, which were then used to predict outcomes at discharge and risk of readmission. RESULTS The best fitting model identified 3 personality subtypes (undercontrolled, overcontrolled, low psychopathology) that contributed significantly to multivariate models predicting study outcomes. Undercontrolled patients were more likely to have a poor outcome at discharge than overcontrolled (OR = 3.56, p = .01) and low psychopathology patients (OR = 11.23, p < .001). Undercontrolled patients also had a greater risk of discharge against medical advice (HR = 2.08, p = .02) and readmission than overcontrolled patients (HR = 3.76, p = .009). Binge-eating/purging versus restricting subtypes did not predict discharge against medical advice or readmission in the multivariate models. CONCLUSIONS Findings support the clinical utility of personality subtypes in AN. Future work is needed to identify mechanisms that explain diminished treatment response in undercontrolled patients and to develop interventions for this high-risk group.

The core symptoms of bulimia nervosa, anxiety, and depression: A network analysis

Bulimia nervosa (BN) is characterized by symptoms of binge eating and compensatory behavior, and overevaluation of weight and shape, which often co-occur with symptoms of anxiety and depression. However, there is little research identifying which specific BN symptoms maintain BN psychopathology and how they are associated with symptoms of depression and anxiety. Network analyses represent an emerging method in psychopathology research to examine how symptoms interact and may become self-reinforcing. In the current study of adults with a Diagnostic and Statistical Manual for Mental Disorders-Fourth Edition (DSM–IV) diagnosis of BN (N = 196), we used network analysis to identify the central symptoms of BN, as well as symptoms that may bridge the association between BN symptoms and anxiety and depression symptoms. Results showed that fear of weight gain was central to BN psychopathology, whereas binge eating, purging, and restriction were less central in the symptom network. Symptoms related to sensitivity to physical sensations (e.g., changes in appetite, feeling dizzy, and wobbly) were identified as bridge symptoms between BN, and anxiety and depressive symptoms. We discuss our findings with respect to cognitive–behavioral treatment approaches for BN. These findings suggest that treatments for BN should focus on fear of weight gain, perhaps through exposure therapies. Further, interventions focusing on exposure to physical sensations may also address BN psychopathology, as well as co-occurring anxiety and depressive symptoms.

Gender norms, psychometric properties, and validity for the Eating Pathology Symptoms Inventory

OBJECTIVE The Eating Pathology Symptoms Inventory [EPSI; Forbush KT, Wildes JE, Pollack LO, Dunbar D, Luo J, Patterson K, et al. Development and validation of the EPSI. Psychological Assessment, in press] is an empirically derived self-report measure of eating disorder (ED) symptoms. The EPSI is able to capture the majority of variance associated with established ED measures, yet possesses additional content that is not currently represented in any existing multidimensional ED measure. The purpose of this study was to present normative and psychometric data for the EPSI in a large sample of college men (N = 502) and women (N = 625). METHOD Participants completed the EPSI and a battery of self-report measures to evaluate convergent and discriminant validity. To provide context as to how normative scores compare to ED psychopathology, undergraduate student scores were compared to scores from individuals with EDs (N = 150). RESULTS Confirmatory factor analyses indicated that the EPSI had a robust eight-factor structure that was replicated in both men and women. Mean scores for most scales were significantly higher in women, except for Excessive Exercise, Muscle Building, and Negative Attitudes toward Obesity, which were significantly higher in men. Most scale scores were significantly lower in college students than in patients with EDs. Results indicated excellent convergent and discriminant validity in both genders. DISCUSSION These data provide the first large-scale normative data for the EPSI in young adults, as well as additional evidence supporting the psychometric properties and construct validity of the EPSI.

Characteristics and Stability of Empirically Derived Anorexia Nervosa Subtypes: Towards the Identification of Homogeneous Low-Weight Eating Disorder Phenotypes

Anorexia nervosa (AN) is characterized by within-group heterogeneity in symptom presentation, which poses problems for research on etiology and treatment. This study sought to identify homogeneous subtypes of AN, and examine their short-term stability, using empirical methods. A treatment-seeking sample with AN (n = 194) was assessed at baseline and 6- and 12-month follow-ups. Latent class analysis was used to identify homogeneous AN subgroups, and latent transition analysis was used to examine the stability of latent classes. Three low-weight eating disorder classes were identified: 1) fat-phobic restricting (AN-R-FP); 2) fat-phobic binge-eating/purging (AN-BP-FP); and 3) non-fat-phobic restricting (AN-R-NFP). Subtype membership was stable over follow-up, with .68 to .88 probabilities of remaining in the same class from baseline to 6 months, and .87 to 1.00 from 6 months to 12 months. The most common transition pattern was between AN-R-FP and AN-R-NFP (56.8% of transitions); the majority of these participants transitioned from AN-R-FP to AN-R-NFP (n = 20/21). Predictors of latent class membership included lifetime mood and substance use disorder comorbidities, negative temperament, illness duration, and body mass index at treatment presentation. Disinhibition (vs. constraint), history of overweight or obesity, and illness duration decreased the probability of latent transition. Findings support the presence of 3 low-weight eating disorder phenotypes that are highly stable over short-term follow-up. Identification of a stable non-fat-phobic AN phenotype is intriguing and highlights the importance of studying mechanisms that differentiate fat-phobic and non-fat-phobic eating disorders.