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Given that eating disorders (EDs) are relatively common in college populations, it is important to have reliable and valid tools to identify students so that they can be referred to evidence-based care. Although research supports the psychometric properties of existing ED screens for identifying cases of EDs, most studies have been conducted in samples of young white-majority women or have not reported the psychometric properties of the screening tool in men.The purpose of the current study was to validate a brief, 10-item screening tool for the identification of EDs-the brief assessment of stress and eating (BASE).Participants were college students (N = 596; 68.2% cisgender women) from a large Midwestern university who completed the BASE and SCOFF. The Eating Disorders Diagnostic Survey was used to generate DSM-5 ED diagnoses. We evaluated area under the curve (AUC) for both receiver operating curves (ROC) and precision-recall curves (PRC).Both the BASE and SCOFF performed significantly better than chance at identifying probable EDs in cisgender women (BASE AUC: ROC = .787, PRC = .633, sensitivity = .733, specificity = .697; SCOFF AUC: ROC = .810, PRC = .684, sensitivity = .793, specificity = .701). However, the BASE (AUC: ROC = .821, PRC = .605, sensitivity = .966, specificity = .495) significantly outperformed the SCOFF (AUC: ROC = .710, PRC = .354, sensitivity = .828, specificity = .514) for identifying probable EDs in cisgender college men.The BASE is appropriate for student healthcare and college research settings. Because the BASE outperforms the SCOFF in college men, results from the current study are expected to contribute to improved identification of EDs on college campuses.The BASE is a new screening tool to identify eating disorders. The BASE performed as well as, if not better than, the SCOFF (particularly in men). Given the need for brief, psychometrically strong, and unbiased ED screening tools in college students, the current study helps address an unmet student healthcare need that we expect will contribute to improved identification of EDs on college campuses.

As network models of eating disorder (ED) psychopathology become increasingly popular in modeling symptom interconnectedness and identifying potential treatment targets, it is necessary to contextualize their performance against other methods of modeling ED psychopathology and to evaluate potential ways to optimize and capitalize on their use. To accomplish these goals, we used generalized network psychometrics to estimate and compare latent variable models and network models, as well as hybrid models.We tested the structure of the Eating Pathology Symptoms Inventory (EPSI) and Eating Disorder Examination-Questionnaire (EDE-Q) in Recovery Record, Inc. mobile phone application users (N = 6856).Although all models fit well, results favored a hybrid latent variable and network framework, which showed that ED symptoms fit best when modeled as higher-order constructs, rather than direct symptom-to-symptom connections, and when the relationships between those constructs are described as a network. Hybrid models in which latent factors were modeled as nodes within a network showed that EPSI Purging, Binge Eating, Cognitive Restraint, Body Dissatisfaction, and Excessive Exercise had high importance in the network. EDE-Q Eating Concern and Shape Concern were also important nodes. Results showed that the EPSI network was highly stable and replicable, whereas the EDE-Q network was not.Integrating latent variable and network model frameworks enables tests of centrality to identify important latent variables, such as purging, that may promote the spread of ED psychopathology throughout a network, allowing for the identification of future treatment targets.

There are limited data to guide the interpretation of scores on measures of eating-disorder psychopathology among underrepresented individuals. We aimed to provide norms for the Eating Disorder Examination-Questionnaire (EDE-Q) and Clinical Impairment Assessment (CIA) across racial/ethnic, gender, and sexual identities, and sexual orientations and their intersections by recruiting a diverse sample of Amazon MTurk workers (MTurkers; N = 1782).We created a comprehensive, quantitative assessment of racial/ethnic identification, gender identification, sex assigned at birth, current sexual identification, and sexual orientation called the Demographic Assessment of Racial, Sexual, and Gender Identities (DARSGI). We calculated normative data for each demographic category response option.Our sample was comprised of 68% underrepresented racial/ethnic identities, 42% underrepresented gender identities, 13% underrepresented sexes, and 49% underrepresented sexual orientations. We reported means and standard deviations for each demographic category response option and, where possible, mean estimates by percentile across intersectional groups. EDE-Q Global Score for a subset of identities and intersections in the current study were higher than previously reported norms for those identities/intersections.This is the most thorough reporting of norms for the EDE-Q and CIA among racial/ethnic, sexual, and gender identities, and sexual orientations and the first reporting on multiple intersections, filling some of the gaps for commonly used measures of eating-disorder psychopathology. These norms may be used to contextualize eating-disorder psychopathology reported by underrepresented individuals. The data from the current study may help inform research on the prevention and treatment of eating-disorder psychopathology in underrepresented groups.We provide the most thorough reporting on racial/ethnic, sexual, and gender identities, and sexual orientations for the Eating Disorder Examination - Questionnaire and Clinical Impairment Assessment, and the first reporting on intersections, which fills some of the gaps for commonly used measures of eating-disorder psychopathology. These norms help inform research on the prevention and treatment of eating-disorder psychopathology in underrepresented groups.

Objective: Minority stress models have been used to explain aspects of sleep health disparities; however, one type of stigma that has been less evaluated is the impact of weight bias internalization (WBI) on sleep.Methods: Women with disordered eating (N = 173, Mage = 20.21, SD = 1.70, range = 18-25) completed questionnaires measuring insomnia symptom severity, WBI, and dysphoria. Hierarchical linear regression tested associations between WBI and insomnia symptom severity, when adjusting for demographic variables and dysphoria. Results: WBI (B = 0.08, SE = 0.03, p = .02, 95% CI = 0.02, 0.15) and dysphoria (B = 0.31, SE = 0.06, p < .001, 95% CI = 0.09, 0.34) were significantly positively associated with insomnia symptom severity above-and-beyond demographic variables.Conclusions: Although effect sizes were small, WBI was associated with increased insomnia symptom severity. Results add to the growing literature examining the associations of stigma with sleep health.

Historically, researchers have proposed higher-order factors to explicate the structure of psychopathology, including Externalizing, Internalizing, Fear, Distress, Thought Disorder, and a general factor. Despite extensive research in this domain, the underlying structure of psychopathology remains unresolved. Herein, we examine several issues in adjudicating among structural models of psychopathology. Using simulations and analyses of the extant literature, we contrast the model-based reliability of alternative structural models of psychopathology and highlight shortcomings of conventional model fit indices for such adjudication. We propose alternative criteria for evaluating and contrasting competing structural models, including various model characteristics (e.g., the magnitude and consistency of factor loadings and their precision), the consistency and sensitivity of factors to their constituent indicators, and the variance explained in and patterns of associations with relevant variables. Using these criteria as adjuncts to conventional fit indices should become standard practice and will greatly facilitate adjudication among alternative structural models of psychopathology.

Military service members must maintain a certain body mass index and body fat percentage. Due to weight-loss pressures, some service members may resort to unhealthy behaviors that place them at risk for the development of an eating disorder (ED).To understand the scope and impact of EDs in military service members and veterans, we formed the Longitudinal Eating Disorders Assessment Project (LEAP) Consortium. LEAP aims to develop novel screening, assessment, classification, and treatment tools for veterans and military members with a focus on EDs and internalizing psychopathology.We recruited two independent nationally representative samples of post-9/11 veterans who were separated from service within the past year. Study 1 was a four-wave longitudinal survey and Study 2 was a mixed-methods study that included surveys, structured-clinical interviews, and qualitative interviews.Recruitment samples were representative of the full population of recently separated veterans. Sample weights were created to adjust for sources of non-response bias to the baseline survey. Attrition was low relative to past studies of this population, with only (younger) age predicting attrition at 1-week follow-up.We expect that the LEAP Consortium data will contribute to improved information about EDs in veterans, a serious and understudied problem.

We report on Phase 1 efforts of the Hierarchical Taxonomy of Psychopathology (HiTOP) measurement subgroup tasked with developing provisional scales for the somatoform spectrum and eating disorders. In Study 1, items were written to assess five somatoform spectrum constructs (bodily distress symptoms, conversion symptoms, health anxiety, disease conviction, and somatic preoccupation). Scale development analyses were conducted on 550 university students. The conversion symptom items were too infrequently endorsed and were set aside for Phase 2. Analyses of the other items yielded four scales corresponding closely to their hypothesized structure. In Study 2, we delineated 15 specific feeding and eating disorder constructs. A sample of 400 university students were administered candidate items and several eating disorder questionnaires for criterion validity. Analyses yielded six scales capturing previously described constructs, tapping content related to body image and weight concerns, restricting and purging, cognitive restraint, binging, excessive exercise, and muscle building. Two scales representing additional constructs deemed to be of high clinical import—negative attitude towards obesity and avoidant/restrictive food intake disorder—were retained for Phase 2, for a total of eight scales. Overall, we concluded that Phase 1 had been successful at generating a comprehensive set of provisional scales for inclusion in Phase 2.

COVID-19 presents significant social, economic, and medical challenges. Because COVID-19 has already begun to precipitate huge increases in mental health problems, clinical psychological science must assert a leadership role in guiding a national response to this secondary crisis. In this article, COVID-19 is conceptualized as a unique, compounding, multidimensional stressor that will create a vast need for intervention and necessitate new paradigms for mental health service delivery and training. Urgent challenge areas across developmental periods are discussed, followed by a review of psychological symptoms that likely will increase in prevalence and require innovative solutions in both science and practice. Implications for new research directions, clinical approaches, and policy issues are discussed to highlight the opportunities for clinical psychological science to emerge as an updated, contemporary field capable of addressing the burden of mental illness and distress in the wake of COVID-19 and beyond.

Latines have higher rates of eating disorders characterized by binge eating compared to their non-Latine white counterparts, yet culturally and socially relevant factors related to binge eating in Latines have been largely understudied. The purpose of the current study was to examine how discrimination and acculturative stress were associated with binge eating in a nationally representative sample of Latines. An additional aim was to test the extent to which family cohesion and social support could buffer against the effects of discrimination and acculturative stress on binge eating.Participants (56% female, N = 2550) were Latines enrolled in the National Latino and Asian American Study. Structural equation modeling using 1000 re-sampled data sets built from machine learning iterative sampling procedures was used to examine the effects of discrimination, acculturative stress, family cohesion, and social support on binge eating.Results indicated that only discrimination was significantly associated with binge eating. Neither the direct effect of acculturative stress, interaction of family cohesion and acculturative stress, interaction of social cohesion and acculturative stress, nor the interaction of social support and discrimination were significantly associated with binge eating.This study highlights the need for mental-health providers to understand and assess discrimination among Latines presenting with concerns of binge eating. Treatments that effectively provide coping strategies to manage discriminatory experiences and reduce binge eating could improve both effectiveness of treatment and retention rates for Latine individuals with binge eating.This study examined the association of discrimination, acculturative stress, family cohesion, and social support with binge eating in Latines. Only discrimination was significantly associated with binge eating, highlighting the importance for providers to assess discrimination among Latines with binge-eating concerns and to improve equity, inclusion, and belonging at a societal level. Modifying existing treatments to address coping with discrimination could improve the effectiveness for Latines with binge-eating concerns.

There is ongoing discussion about whether sports participation is a risk or protective factor for eating disorders (EDs). Research is mixed, with some studies suggesting that athletes have higher mean levels of ED psychopathology compared to nonathletes, while other studies suggest the opposite effect or no differences. The purpose of the current meta-analysis was to identify whether female athletes reported higher mean levels of ED psychopathology compared to nonathletes.Following PRISMA guidelines, we identified 56 studies that reported ED psychopathology for female athletes and nonathletes. A three-level random-effects model of between- and within-study variance was completed for the following outcome variables: overall ED psychopathology, body dissatisfaction, drive for thinness, restricting, and loss-of-control eating.Athletes reported lower levels of body dissatisfaction compared to nonathletes (g = -.21, p .0001). Athletes and nonathletes reported similar levels of overall ED psychopathology, drive for thinness, restricting, and loss-of-control eating on average. Sport type significantly moderated standardized mean difference effect sizes of ED psychopathology in athletes versus nonathletes. Effect sizes comparing levels of drive for thinness, restricting, and loss-of-control eating in athletes versus nonathletes were larger for studies with athletes participating in aesthetic/lean sports compared to nonaesthetic/nonlean sports.Findings from this meta-analysis could inform future ED prevention and treatment in female athletes by providing further evidence that athletes in aesthetic/lean sports may report higher levels of ED psychopathology. Participating in nonaesthetic/nonlean sports may be a protective factor for experiencing less body dissatisfaction.The current meta-analysis summarized findings from 56 studies that assessed levels of disordered eating, body dissatisfaction, dietary restricting, and loss-of-control eating in female athletes and nonathletes. Athletes reported lower levels of body dissatisfaction compared to nonathletes, highlighting that participation in sport could have some protective factors. Athletes participating in sports that require weight categories (e.g., judo) and sports that emphasize thinness/leanness (e.g., gymnastics and distance running) had higher levels of disordered eating relative to athletes participating in other types of sports that do not emphasize thinness/leanness (e.g., volleyball and basketball).Existe un debate abierto sobre si la participación en los deportes es un factor de riesgo o protector para los trastornos de la conducta alimentaria (TCA). La investigación es mixta, con algunos estudios que sugieren que los atletas tienen niveles medios más altos de psicopatología de TCA en comparación con los no atletas, mientras que otros estudios sugieren el efecto opuesto o ninguna diferencia. El propósito del presente metanálisis fue identificar si las atletas femeninas reportaron niveles medios más altos de psicopatología de TCA en comparación con las no atletas. MÉTODO: Siguiendo las guías PRISMA, se identificaron 56 estudios que informaron psicopatología de TCA para atletas femeninas y no atletas. Se completó un modelo de efectos aleatorios de tres niveles de varianza entre y dentro del estudio para las siguientes variables de resultado: psicopatología general de TCA, insatisfacción corporal, impulso por la delgadez, restricción y pérdida de control de la alimentación.Las atletas reportaron niveles más bajos de insatisfacción corporal en comparación con las no atletas (g = -.21, p.0001). Las atletas y las no atletas reportaron niveles similares de psicopatología general de TCA, impulso por la delgadez, restricción y pérdida de control de la alimentación en promedio. El tipo de deporte moderó significativamente los tamaños del efecto de la diferencia de medias estandarizada de la psicopatología de TCA en atletas versus no atletas. Los tamaños del efecto que compararon los niveles de impulso por la delgadez, la restricción y la pérdida de control de la alimentación en atletas versus no atletas fueron mayores para los estudios con atletas que participaron en deportes que valoran lo estético/cuerpo magro, esbelto, en comparación con deportes que no valoran lo estético/cuerpo magro, esbelto. DISCUSIÓN: Los hallazgos de este metanálisis podrían informar la prevención y el tratamiento futuros de los TCA en atletas femeninas al proporcionar más evidencia de que las atletas en deportes que dan un gran valor a lo estético o al cuerpo magro, esbelto, pueden reportar niveles más altos de psicopatología de TCA. Participar en deportes que no dan valor a lo estético o al cuerpo magro, puede ser un factor protector para experimentar menos insatisfacción corporal.

INTRODUCTION: Greater use of appearance-focused social media, such as Instagram, is associated with increased body dissatisfaction and eating disorder (ED) symptoms; however, questions remain about the mechanism connecting social media use to disordered-eating behaviors (DEBs). The proposed study evaluates how and for whom exposure to fitspiration or thinspiration on Instagram is associated with DEBs. METHODS: We will evaluate a hypothesized pathway from Instagram use to disordered-eating mediated by negative affect. We will test how individual differences in internalized weight stigma, trait self-esteem, and trait self-comparison moderate the pathway from social media use to negative affect. We will recruit 175 undergraduate women who report engaging in DEBs on average at least once per week over the past three months. Participants will complete a seven-day ecological momentary assessment protocol, during which they will report their Instagram use, affect, and engagement in DEBs. RESULTS: Multi-level modeling will be used to assess moderated mediation. Results from this study will provide increased specificity about how Instagram usage is linked to eating pathology and who may be most vulnerable to experiencing distress. DISCUSSION: Information about negative affect from Instagram and engagement in DEBs could contribute to the development of Just-In-Time Interventions for problematic social media use.

Bulimia nervosa (BN) is characterized by recurrent engagement in eating disorder behaviors despite negative consequences, potentially reflecting aberrant stimulus-response or reward-learning processes. Indeed, frontostriatal circuitry involved in reward learning is altered in persons with BN and preliminary research suggests reward learning is impaired in persons with BN. Additional research on reward learning in BN and its association with eating disorder symptom expression is warranted to further the field's understanding of potential pathophysiological mechanisms of BN. To this end, the probabilistic reward learning task (PRLT) was administered to unmedicated women with BN (n = 15) and demographically matched psychiatrically healthy women (n = 18). Contrary to our hypotheses, results demonstrated that women with BN showed greater reward learning during the PRLT relative to healthy comparison women when covarying for symptoms of depression, social anxiety, and mania. Exploratory analyses showed that binge-eating frequency was inversely associated with reward learning in women with BN; however, results should be interpreted with caution due to the small sample size. Together, results suggest that women with BN do not have deficits in implicit reward learning. Given the preliminary nature of this investigation, larger-scale studies are needed to further examine reward learning in current BN and could compare reward learning using general (e.g., monetary) and disorder-specific (e.g., food) reinforcers. Further work is needed to confirm the inverse association between reward learning and binge eating.

OBJECTIVES/GOALS: Over 50 million people in the U.S. have an eating disorder (EDs), and body dissatisfaction is a key precursor to EDs. The current study seeks to culturally adapt an evidence-based positive body image program administered through a mobile-phone application for use with Latinx women. METHODS/STUDY POPULATION: The positive body image program centers around body functionality, which in contrast to appearance-based body image, emphasizes the body’s capabilities, including physical capacities, health and internal processes, senses, creative endeavors, self-care, and communication with others. Latinx women aged 18-25 years-old (n =15) will be recruited to participate in focus groups and individual qualitative interviews. Interviews will examine how Latinx women relate to the concepts of positive body image and body functionality. Participants will also provide feedback on the application design and program content. RESULTS/ANTICIPATED RESULTS: Results will elucidate how Latinx women relate to their body and can be used to inform our understanding of Latinx women’s positive body image. Results will also inform what components of the intervention need to be tailored to be more relevant for use in this population. Information from the interviews will be used to explore adaptations to create a more acceptable and effective intervention prior to testing the efficacy of the program. DISCUSSION/SIGNIFICANCE: Most evidence-based body image programs are not developed with culturally sensitive programming in mind. Thus, culturally adapting an evidence-based positive body image program that could be widely disseminated through a mobile-application could address body image concerns in Latinx women.

Shortcomings of approaches to classifying psychopathology based on expert consensus have given rise to contemporary efforts to classify psychopathology quantitatively. In this paper, we review progress in achieving a quantitative and empirical classification of psychopathology. A substantial empirical literature indicates that psychopathology is generally more dimensional than categorical. When the discreteness versus continuity of psychopathology is treated as a research question, as opposed to being decided as a matter of tradition, the evidence clearly supports the hypothesis of continuity. In addition, a related body of literature shows how psychopathology dimensions can be arranged in a hierarchy, ranging from very broad "spectrum level'' dimensions, to specific and narrow clusters of symptoms. In this way, a quantitative approach solves the "problem of comorbidity'' by explicitly modeling patterns of co-occurrence among signs and symptoms within a detailed and variegated hierarchy of dimensional concepts with direct clinical utility. Indeed, extensive evidence pertaining to the dimensional and hierarchical structure of psychopathology has led to the formation of the Hierarchical Taxonomy of Psychopathology (HiTOP) Consortium. This is a group of 70 investigators working together to study empirical classification of psychopathology. In this paper, we describe the aims and current foci of the HiTOP Consortium. These aims pertain to continued research on the empirical organization of psychopathology; the connection between personality and psychopathology; the utility of empirically based psychopathology constructs in both research and the clinic; and the development of novel and comprehensive models and corresponding assessment instruments for psychopathology constructs derived from an empirical approach. (C) 2020 Published by Elsevier Masson SAS.

Objective The purpose of this trial is to evaluate the novel use of an empirically supported treatment for sleep problems for people with residual insomnia disorder following ED treatment. Method Participants (N = 6) will complete a single-case multiple baseline study using Brief Behavioral Treatment for Insomnia (Buysse et al., Archives of Internal Medicine, 171, 2011, 887-895; Troxel et al., Behavioral Sleep Medicine, 10, 2012, 266-279). Participants will complete pre- and post-treatment evaluations of insomnia severity, sleep efficiency, daytime fatigue, ED symptoms, depressive symptoms, and anxiety symptoms. Throughout treatment, participants will complete daily diaries of sleep indices (sleep latency, wake after sleep onset, total sleep time, and sleep efficiency). Results The primary outcome will be treatment effects on insomnia severity, measured by the Insomnia Severity Index. Secondary outcomes include sleep efficiency and daytime fatigue. Exploratory outcomes include ED-related impairment and symptoms, anxiety symptoms, and depression symptoms. We will provide subject-level graphs of sleep indices and ED symptoms throughout treatment. Additionally, treatment effects will be examined at one- and three-month follow-up. Discussion Although insomnia treatments have been evaluated in other psychiatric disorders, there has yet to be a study examining behavioral interventions for insomnia in EDs. Results of this study will inform the development and application of interventions for residual insomnia symptoms in this population.

Author(s): Hopwood, Christopher J; Krueger, Robert F; Watson, David; Widiger, Thomas A; Althoff, Robert R; Ansell, Emily B; Bach, Bo; Bagby, R Michael; Blais, Mark A; Bornovalova, Marina A; Chmielewski, Michael; Cicero, David C; Conway, Christopher; De Clerq, Barbara; De Fruyt, Filip; Docherty, Anna R; Eaton, Nicholas R; Edens, John F; Forbes, Miriam K; Forbush, Kelsie T; Hengartner, Michael P; Ivanova, Masha Y; Leising, Daniel; Lukowitsky, Mark R; Lynam, Donald R; Markon, Kristian E; Miller, Joshua D; Morey, Leslie C; Mullins-Sweatt, Stephanie N; Ormel, Johan; Patrick, Christopher J; Pincus, Aaron L; Ruggero, Camilo; Samuel, Douglas B; Sellbom, Martin; Tackett, Jennifer L; Thomas, Katherine M; Trull, Timothy J; Vachon, David D; Waldman, Irwin D; Waszczuk, Monika A; Waugh, Mark H; Wright, Aidan GC; Yalch, Mathew M; Zald, David H; Zimmermann, Johannes

Author(s): Ruggero, Camilo J; Kotov, Roman; Hopwood, Christopher J; First, Michael; Clark, Lee Anna; Skodol, Andrew E; Mullins-Sweatt, Stephanie N; Patrick, Christopher J; Bach, Bo; Cicero, David C; Docherty, Anna; Simms, Leonard J; Bagby, R Michael; Krueger, Robert F; Callahan, Jennifer L; Chmielewski, Michael; Conway, Christopher C; De Clercq, Barbara; Dornbach-Bender, Allison; Eaton, Nicholas R; Forbes, Miriam K; Forbush, Kelsie T; Haltigan, John D; Miller, Joshua D; Morey, Leslie C; Patalay, Praveetha; Regier, Darrel A; Reininghaus, Ulrich; Shackman, Alexander J; Waszczuk, Monika A; Watson, David; Wright, Aidan GC; Zimmermann, Johannes | Abstract: ObjectiveDiagnosis is a cornerstone of clinical practice for mental health care providers, yet traditional diagnostic systems have well-known shortcomings, including inadequate reliability, high comorbidity, and marked within-diagnosis heterogeneity. The Hierarchical Taxonomy of Psychopathology (HiTOP) is a data-driven, hierarchically based alternative to traditional classifications that conceptualizes psychopathology as a set of dimensions organized into increasingly broad, transdiagnostic spectra. Prior work has shown that using a dimensional approach improves reliability and validity, but translating a model like HiTOP into a workable system that is useful for health care providers remains a major challenge.MethodThe present work outlines the HiTOP model and describes the core principles to guide its integration into clinical practice.ResultsPotential advantages and limitations of the HiTOP model for clinical utility are reviewed, including with respect to case conceptualization and treatment planning. A HiTOP approach to practice is illustrated and contrasted with an approach based on traditional nosology. Common barriers to using HiTOP in real-world health care settings and solutions to these barriers are discussed.ConclusionsHiTOP represents a viable alternative to classifying mental illness that can be integrated into practice today, although research is needed to further establish its utility. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Suicide remains a serious public-health concern that is difficult to accurately predict in real-world settings. To identify potential predictors of suicide, we examined the emotional content of suicide notes using methods from cognitive network science. Specifically, we compared the co-occurrence networks of suicide notes with those constructed out of emotion words written by individuals scoring low or high on measures of depression, anxiety, and stress. Our objective was to identify which networks were most similar to the suicide notes network, in particular with regard to the connectivity between words and their emotional contents. We also investigated what types of words remained in the high/low emotion networks after controlling for the words present in the suicide notes, which we conceptualize as the “words not said” in the suicide notes. We found that patterns of connectivity among emotion words in suicide notes were most similar to those in texts written by low-anxiety individuals. However, upon analyzing the “words not said” in suicide notes, we observed that the remaining collection of emotions in suicide notes was most similar to those expressed by high-anxiety individuals. We discuss how these findings relate with existing clinical psychological literature as well as their potential implications for predicting suicidal behavior.

Emotion regulation (ER) refers to the processes by which individuals influence the onset, intensity, and duration of emotions. Previous studies have examined the effects of adaptive ER and maladaptive ER in isolation, but growing evidence suggests that they should be studied in conjunction. This study examined the interactions between habitual adaptive and maladaptive ER strategies with eating disorder (ED) symptoms and ED-related clinical impairment.Students (N = 1377) from a Midwestern American university reported ED symptoms, ED-related impairment, habitual adaptive ER (i.e., cognitive reappraisal), and habitual maladaptive ER (i.e., distraction and suppression). Multiple linear regressions were conducted using the PROCESS v3 macro.The study found that adaptive ER was negatively associated with ED symptoms and ED-related impairment, whereas maladaptive ER was positively associated with both outcome variables. Adaptive ER moderated the association between maladaptive ER and ED symptoms, but not clinical impairment. When habitual adaptive ER was low ( 33.4th percentile), there was no association between maladaptive ER and ED symptoms; however, when habitual adaptive ER was moderate to high ( 33.4th percentile), there was a positive association between frequency of maladaptive ER use and ED symptoms. There was no significant three-way interaction among adaptive ER, maladaptive ER, and probable ED diagnosis, for ED-related impairment or symptoms.Results suggest that irrespective of frequency of maladaptive ER, people with low adaptive ER reported elevated psychopathology. Findings point to the utility of interventions to reduce maladaptive ER and increase adaptive ER in ED populations.Level V, cross-sectional descriptive study.

Background The transition to college is a developmentally sensitive time in which freshmen are at high risk for engaging in heavy drinking and experiencing changes in weight and body composition. The study tested prospective associations among drinking patterns (weekly drinks, heavy drinking occasions/month) and alcohol calorie intake on weight and waist circumference change over the first year of college. Methods College freshmen (N = 103) were randomly selected from a pool of eligible students to participate at the beginning of the academic year. The sample was comprised of 52% males, 46% of individuals identifying as racial or ethnic minority, and 45% students with at-risk drinking as defined by the Alcohol Use Disorders Identification Test-Consumption questions. Students engaging in daily risky drinking (n = 2) were excluded. Participants attended 3 visits during the academic year during which they provided weight and waist circumference measurements and completed assessments about drinking, dietary intake, and physical activity. Results Weight gain (>2.3 kg) occurred in 28% of participants. In linear mixed models, drinking patterns and alcohol calorie intake were not associated with weight or waist circumference changes within individuals, when controlling for demographic and energy balance variables. Drinking patterns and alcohol calorie intake did not account for differences in anthropometric measurements between participants, when controlling for covariates. Conclusions Alcohol use did not explain the anthropometric changes observed in a sample well represented by freshmen engaging in risky drinking (and excluding those with daily risky drinking) during the academic year. Drinking may not contribute to short-term weight gain among freshmen.

Objective This study tested the association between food insecurity and eating disorder (ED) pathology, including probable ED diagnosis, among two cohorts of university students before and during the beginning of the COVID‐19 pandemic. Method Students (n = 579) from a large Midwestern American university completed self‐report questionnaires assessing frequency of ED behaviors, ED‐related impairment, and individual food insecurity as measured by the Eating Disorder Diagnostic Scale 5, Clinical Impairment Assessment, and Radimer/Cornell, respectively. Chi‐square tests and MANOVA with post‐hoc corrections were conducted to compare demographic characteristics, ED pathology, and probable ED diagnosis prevalence between students with and without individual food insecurity. Results Partially supporting hypotheses, MANOVA indicated significantly greater frequency of objective binge eating, compensatory fasting, and ED‐related impairment for students with food insecurity compared with individuals without food insecurity. Chi‐squared tests showed higher prevalence of ED diagnoses among individuals with food insecurity compared with those without food security (47.6 vs. 31.1%, respectively, p

Delay discounting measures one's preference for smaller-sooner versus larger-later reward and is a facet of impulsivity. Studying delay discounting in bulimia nervosa (BN) may enhance clinical understanding of BN, as BN is characterized by engagement in behaviors that provide immediate reward (i.e., binge eating, purging) at the expense of future well-being. Prior research suggests that individuals with BN prefer smaller amounts of money available sooner compared to psychiatrically healthy (HC) persons. Here, we aimed to replicate and extend previous work by studying delay discounting of both monetary and food reward in women with BN relative to HC women. We also compared delay discounting of monetary and food reward, and examined associations among delay discounting, trait impulsivity, and eating disorder symptom expression in women with BN. Participants were 20 women with sub- or full-threshold DSM-5 BN and 20 HC women who completed a diagnostic interview, paper-and-pencil measures of delay discounting of monetary and food commodities, and a measure of trait impulsivity. Contrary to previous work, we found that women with BN showed decreased delay discounting of monetary and food reward relative to HC women. Within-group analyses demonstrated that women with BN showed elevated delay discounting of food reward relative to monetary reward. Within women with BN, elevated delay discounting of food, but not money, was associated with elevated negative and positive urgency, two facets of trait impulsivity that relate to acting rashly when experiencing strong emotion. Results suggest that delay discounting may be more variable in BN than previously assumed.

Eating disorders (EDs) are serious psychiatric disorders that affect 13-18% of young men and women. EDs are associated with substantial psychiatric and medical morbidity and mortality, indicating a critical need for improved identification and treatment. Despite the relatively high prevalence and severity of EDs, they are often omitted from discussions of mental health. This comment is in response to Gruber et al. (2020), who wrote an important article on the challenges and opportunities facing clinical scientists in the time of COVID-19. Our response article extends Gruber et al.’s (2020) paper by noting additional challenges facing people with an eating disorder during COVID-19 and recognizing opportunities for improved evidence-based assessment and treatment of this important population.

In this paper we present the Hierarchical Taxonomy of Psychopathology (HiTOP), an evidence-based alternative to the categorical approach to diagnostic classification with considerable promise for integrative psychotherapy research and practice. We first review issues associated with the categorical approach that may have constrained advances in psychotherapy. We next describe how the HiTOP model addresses some of these issues. We then offer suggestions regarding potentially mutual benefits of integrating HiTOP with treatment principles from the common factors literature as well as the cognitive-behavioral and relational psychotherapy traditions. We conclude by enumerating principles for psychotherapy research and practice based on the HiTOP model, which are illustrated with a case example.

Sexual minority individuals are at greater risk for the development of eating-disorder (ED) psychopathology. Despite the importance of understanding ED symptoms in sexual minority men, most ED measures were developed and validated in heterosexual, young adult, white women. The psychometric properties of ED measures in diverse populations remain largely unknown. The purpose of this study was to test: 1) whether the eight-factor structure of the Eating Pathology Symptoms Inventory (EPSI) replicated in sexual minority men and 2) group-level mean differences between gay and bisexual men on the eight EPSI scales. International participants (N = 722 sexual minority men from 20 countries) were recruited via the Grindr smartphone application. Confirmatory factor analysis (CFA) was completed using a weighted least square mean and variance adjusted estimator. Group differences in eating pathology between gay and bisexual men were tested using independent samples t-tests. The CFA model fit was good on all fit indices (CFI/TLI > 0.90, RMSEA

Proper assessment and diagnosis of eating disorders (EDs) are critical to determine to whom prevention and treatment efforts should be targeted, the extent to which treatment is working, and when an individual has recovered. Although existing ED diagnostic interviews have numerous strengths, they also have certain limitations, including poor internal consistency, low discriminant validity, and poor factor-structure replicability. The purpose of the current study was to address problems of past ED diagnostic interviews through the creation of a new clinician-rated interview-the Eating Pathology Symptoms Inventory-Clinician-Rated Version (EPSI-CRV). The EPSI-CRV was designed to measure dimensional constructs assessed in the self-report version of the EPSI and generate current Diagnostic and Statistical Manual of Mental Disorders (5th ed.; DSM-5; American Psychiatric Association, 2013) diagnoses. Participants were community-recruited adults with a DSM-5 ED (N = 257). Participants completed self-report and interview-based measures of eating, mood, and anxiety disorders and self-report measures of psychiatric impairment. The EPSI-CRV demonstrated evidence for interrater reliability, convergent and discriminant validity, and a good-fitting factor structure. EPSI-CRV dimensions showed concurrent validity for distinguishing among ED diagnoses. Baseline EPSI-CRV dimensions significantly predicted psychiatric impairment at baseline but not at 1-year follow-up. Although some scales had lower internal consistency than ideal, internal consistency values were similar to those of other established diagnostic measures. The EPSI-CRV appears to represent a promising new interview that can be used across a variety of clinical and research settings. Interested readers can access the EPSI-CRV and relevant training materials here: https://kuscholarworks.ku.edu/handle/1808/29616. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

OBJECTIVE Approximately 50% of people with eating disorders (EDs) engage in driven exercise to influence their weight or shape and/or to compensate for loss-of-control eating. When present, driven exercise is associated with a lower quality-of-life, longer hospital stays, and faster rates-of-relapse. Despite the seriousness of driven exercise, most treatments for EDs do not target maladaptive exercise behaviors directly. Given the large proportion of patients with an ED who engage in driven exercise and its effect on treatment outcomes, it is critical to understand what predicts change in driven exercise. The purpose of this study was to test whether ED symptoms prospectively predicted change in driven exercise and vice versa. METHOD Participants were Recovery Record (RR) users (N = 4,568; 86.8% female) seeking treatment for an ED. Participants completed the Eating Pathology Symptoms Inventory (EPSI) monthly for 3 months. RESULTS In the full sample, dynamic bivariate latent change score analyses indicated that high levels of dietary restraint and restricting prospectively predicted reductions in driven exercise. Among persons with anorexia nervosa (AN), high levels of binge eating predicted increased driven exercise. Among persons with bulimia nervosa (BN), high levels of body dissatisfaction predicted increased driven exercise. Among persons with binge-eating disorder (BED), high levels of binge eating, purging, and restricting predicted reductions in driven exercise. DISCUSSION Results highlight changes that may predict increased or decreased driven exercise relative to other ED symptoms for AN, BN, and BED groups. These preliminary findings could inform future research on ED treatment efforts to manage driven exercise.

OBJECTIVE The Criterion B binge-eating symptoms represent five symptoms associated with binge eating. Any three out of five symptoms can be used to meet Criterion B. However, Criterion B symptoms may not be interchangeable in terms of how binge-eating severity is associated with each symptom. Item response theory (IRT) can test how endorsing each symptom relates to the overall level (i.e., severity) of binge-eating measured by Criterion B. We used IRT to identify (a) how each Criterion B symptom corresponded with binge-eating severity in a transdiagnostic binge-eating sample and (b) how well each symptom differentiated individuals with differing levels of severity. METHOD Participants (N = 219) were adults (80.8% female) with a current ED that included objective binge-eating episodes assessed via semi-structured interview. A two-parameter logistic IRT model evaluated how endorsement of each Criterion B symptom corresponded with the level of latent binge-eating severity. RESULTS "Eating large amounts when not hungry" and "eating alone" reflected the highest binge-eating severity. "Eating alone" was the best discriminator across different binge-eating severity levels, whereas "uncomfortably full" was the poorest discriminator across binge-eating severity levels. DISCUSSION Criterion B symptoms were not interchangeable in terms of what level of binge-eating severity corresponded with symptom endorsement. "Eating large amounts when not hungry" or "eating alone" may signify elevated binge-eating severity, whereas "uncomfortably full" and "feeling disgusted/depressed/guilty" were not necessarily indicative of elevated severity. Results suggested that Criterion B may need to be revised to eliminate symptoms that are redundant with other binge-eating diagnostic criteria.

In light of increasing rates of overweight and obesity worldwide, there is a critical need for accurate self-report measures of disinhibited and restrained eating behaviors across the weight spectrum. Item response theory was used to determine whether differences in disinhibited and restrained eating between healthy weight and overweight or obese individuals were due to item bias (i.e., differential item functioning). Study 1 participants were healthy weight (n = 510) or overweight or obese (n = 304) adults recruited from the community. Study 2 participants were healthy weight (n = 778) or overweight or obese (n = 320) college students. Study 1 participants completed the Eating Disorder Examination-Questionnaire (EDE-Q), Eating Disorder Inventory-3, Dutch Eating Behaviors Questionnaire, Restraint Scale, and Three-Factor Eating Questionnaire. Study 2 participants completed the Eating Pathology Symptoms Inventory (EPSI). Items on the Restraint Scale demonstrated the most evidence for bias (60% of items), whereas the majority of other scales demonstrated low to moderate levels of item bias (17-38% of items). However, EDE-Q Restraint and EPSI Binge Eating, Cognitive Restraint, Excessive Exercise, Muscle Building, and Negative Attitudes Toward Obesity scales did not show any evidence of differential item functioning among weight groups. Participants with the same level of disordered eating responded differently to certain eating disorder self-report items due to weight-bias, rather than true between-groups differences. Nevertheless, EDE-Q Restraint, EPSI Cognitive Restraint, and EPSI Binge Eating did not exhibit any evidence of bias and are ideal for assessing restrained and disinhibited eating across the weight spectrum in both research and clinical settings. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Young adulthood is a high-risk period for heavy drinking and binge eating, both of which can impact weight and lead to obesity. Examining motives for drinking alcohol and eating palatable foods may facilitate a more integrated understanding of these behaviors during the college years. The current study tested whether shared or distinct (i.e., behavior-specific) motivational mechanisms may explain the occurrence of reward-driven drinking and eating in young adults.A sample of college freshmen (N = 103) stratified by sex, race/ethnicity, and heavy drinking status were selected to participate. Participants completed questionnaires measuring alcohol use, eating behavior, and motives assessed by the Drinking Motives Questionnaire-Revised and Palatable Eating Motives Scale. Confirmatory factor analysis (CFA) tested whether drinking and eating motives were better represented as single latent motives, or two behavior-specific motives. Structural equation modeling (SEM) was used to test the association between motivational factors and behaviors.Behavior-specific CFA models demonstrated stronger model fit and higher factor loadings than single motive models. SEM models indicated that eating to cope with negative emotions, to enhance positive experiences, to obtain social reinforcement, and to conform with peers were significantly associated with binge eating (p values .001). Enhancement and social drinking motives were significantly associated with number of weekly drinks (p values .001).While motives for drinking alcohol and eating palatable foods may satisfy common goals, findings suggest motivational mechanisms may be behavior-specific. Enhancement and social motives may be important factors to target in prevention programs for both drinking and binge eating.

Shortcomings of approaches to classifying psychopathology based on expert consensus have given rise to contemporary efforts to classify psychopathology quantitatively. In this paper, we review progress in achieving a quantitative and empirical classification of psychopathology. A substantial empirical literature indicates that psychopathology is generally more dimensional than categorical. When the discreteness versus continuity of psychopathology is treated as a research question, as opposed to being decided as a matter of tradition, the evidence clearly supports the hypothesis of continuity. In addition, a related body of literature shows how psychopathology dimensions can be arranged in a hierarchy, ranging from very broad "spectrum level'' dimensions, to specific and narrow clusters of symptoms. In this way, a quantitative approach solves the "problem of comorbidity'' by explicitly modeling patterns of co-occurrence among signs and symptoms within a detailed and variegated hierarchy of dimensional concepts with direct clinical utility. Indeed, extensive evidence pertaining to the dimensional and hierarchical structure of psychopathology has led to the formation of the Hierarchical Taxonomy of Psychopathology (HiTOP) Consortium. This is a group of 70 investigators working together to study empirical classification of psychopathology. In this paper, we describe the aims and current foci of the HiTOP Consortium. These aims pertain to continued research on the empirical organization of psychopathology; the connection between personality and psychopathology; the utility of empirically based psychopathology constructs in both research and the clinic; and the development of novel and comprehensive models and corresponding assessment instruments for psychopathology constructs derived from an empirical approach. (C) 2020 Published by Elsevier Masson SAS.

Objective Several studies indicate that eating‐disorder (ED) psychopathology is elevated in athletes compared to non‐athletes. The assessment of excessive exercise among athletes is a challenge because, compared to non‐athletes, athletes are required to train at higher intensities and for longer periods of time. However, individuals participating in competitive sports are still susceptible to unhealthy physical‐activity patterns. Most ED assessments were developed and normed in non‐athlete samples and, therefore, do not capture the nuances of athletes’ training experiences. The purpose of the current study was to develop and validate a clinically useful, self‐report measure of unhealthy training behaviors and beliefs in athletes, the Athletes’ Relationships with Training Scale (ART). Method The initial item pool was administered to N = 267 women collegiate athletes who were participating in an ED prevention program study and N = 65 women athletes who were in ED treatment. Results Factor analyses indicated the ART had a four‐factor structure. Factorial and construct validity of the ART were demonstrated. ART scores significantly predicted health care utilization and differed between athletes with an ED versus athletes without an ED. For athletes in ED treatment, ART scores significantly decreased from treatment admission to discharge. Discussion The ART showed evidence of strong psychometric properties and clinical utility. The ART could be helpful for clinicians and athletic trainers to help gauge whether athletes are engaging in unhealthy training practices that may warrant clinical attention and for tracking clinical outcomes in athletes with EDs who are receiving treatment.

OBJECTIVE Rapid response to treatment, indicated by substantial decreases in eating-disorder (ED) symptoms within the first 4-6 weeks of treatment, is the most reliable predictor of treatment outcomes for EDs. However, there is limited research evaluating short-term longitudinal trajectories of ED symptoms during treatment. Thus, it is difficult to know which aspects of ED psychopathology are slow or fast to change. The purpose of this study was to elucidate three-month trajectories of ED psychopathology during treatment and test whether ED diagnosis influenced the direction and rate of change. METHOD Participants were Recovery Record users seeking treatment for an ED (N = 4,568; 86.8% female). Participants completed the Eating Pathology Symptoms Inventory once per month for 3 months. RESULTS Latent growth curve models indicated that ED diagnosis influenced the rate of ED behavior change. Anorexia nervosa was associated with faster reductions in cognitive restraint, excessive exercise, restricting, yet slower reductions in body dissatisfaction, and binge eating. Bulimia nervosa was associated with faster reductions in binge eating, cognitive restraint, excessive exercise, and purging. Binge-eating disorder was associated with faster reductions in body dissatisfaction and binge eating, yet slower reductions in restricting. CONCLUSIONS Our results have implications for future research by providing initial information about the direction and rate of ED change over the course of treatment. If clinicians and researchers know which ED symptoms are slow to change, on average, across diagnostic groups, treatment protocols could be adjusted to target slow changing symptoms more quickly, and therefore improve ED treatment outcomes.

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.

Author(s): Hopwood, Christopher J; Kotov, Roman; Krueger, Robert F; Watson, David; Widiger, Thomas A; Althoff, Robert R; Ansell, Emily B; Bach, Bo; Michael Bagby, R; Blais, Mark A; Bornovalova, Marina A; Chmielewski, Michael; Cicero, David C; Conway, Christopher; De Clercq, Barbara; De Fruyt, Filip; Docherty, Anna R; Eaton, Nicholas R; Edens, John F; Forbes, Miriam K; Forbush, Kelsie T; Hengartner, Michael P; Ivanova, Masha Y; Leising, Daniel; John Livesley, W; Lukowitsky, Mark R; Lynam, Donald R; Markon, Kristian E; Miller, Joshua D; Morey, Leslie C; Mullins-Sweatt, Stephanie N; Hans Ormel, J; Patrick, Christopher J; Pincus, Aaron L; Ruggero, Camilo; Samuel, Douglas B; Sellbom, Martin; Slade, Tim; Tackett, Jennifer L; Thomas, Katherine M; Trull, Timothy J; Vachon, David D; Waldman, Irwin D; Waszczuk, Monika A; Waugh, Mark H; Wright, Aidan GC; Yalch, Mathew M; Zald, David H; Zimmermann, Johannes

Adolescence is a common period for eating disorder (ED) onset. The availability of psychometrically sound measures of ED psychopathology enables clinicians to accurately assess symptoms and monitor treatment outcomes continuously from adolescence and adulthood. The purpose of this study was to assess if the Eating Pathology Symptoms Inventory (EPSI) is invariant across adolescents and adults. Participants (N = 29,821) were adolescent (n = 5250) and adult (n = 24,571) users of the Recovery Record (RR) mobile phone application who provided EPSI responses through the application. Measurement invariance testing was conducted to assess invariance of the EPSI Body Dissatisfaction, Restricting, Excessive Exercise, Purging, Cognitive Restraint, and Binge Eating scales across adolescents (age 13 through 17) and adults (age 18 and older). Findings indicated that all EPSI factors administered in the RR app replicated in both adolescent and adult users. The EPSI factor structure was largely equivalent in adolescents and adults, demonstrating evidence for configural and metric invariance, as well as some evidence for scalar invariance. Our results indicated that EPSI scales measured the same constructs across development. Clinicians and researchers may benefit from utilizing the EPSI to measure ED psychopathology in adolescents and for continued progress monitoring into adulthood.

Previous research has failed to find differences in eating disorder and general psychopathology and impairment between people with sub- and full-threshold bulimia nervosa (BN). The purpose of the current study was to test the validity of the distinction between sub- and full-threshold BN and to determine the frequency of objective binge episodes and inappropriate compensatory behaviors that would best distinguish between sub- and full-BN. Community-recruited adults (83.5% female) with current sub-threshold (n = 105) or full-threshold BN (n = 99) completed assessments of eating-disorder psychopathology, clinical impairment, internalizing problems, and drug and alcohol misuse. Receiver operating characteristic curve analysis was used to evaluate whether eating-disorder psychopathology, clinical impairment, internalizing problems, and drug and alcohol misuse could empirically discriminate between sub- and full-threshold BN. The frequency of binge episodes and inappropriate compensatory behaviors (AUC = 0.94) was “highly accurate” in discriminating between sub- and full-threshold BN; however, only objective binge episodes was a significant predictor of BN status. Internalizing symptoms (AUC = 0.71) were “moderately accurate” at distinguishing between sub- and full-BN. Neither clinical impairment (AUC = 0.60) nor drug (AUC = 0.56) or alcohol misuse (AUC = 0.52) discriminated between groups. Results suggested that 11 episodes of binge eating and 17 episodes of inappropriate compensatory behaviors optimally distinguished between sub- and full-BN. Overall, results provided mixed support for the distinction between sub- and full-threshold BN. Future research to clarify the most meaningful way to discriminate between sub- and full-threshold is warranted to improve the criterion-related validity of the diagnostic system.

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.

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. (PsycINFO Database Record

Bulimia nervosa can be reliably classified into subtypes based on dimensions of dietary restraint and negative affect. Community and clinical studies have shown that dietary-negative affect subtypes have greater test-retest reliability and concurrent and predictive validity compared to subtypes based on the Diagnostic and Statistical Manual of Mental Disorders (DSM). Although dietary-negative affect subtypes have shown utility for characterizing eating disorders that involve binge eating, this framework may have broader implications for understanding restrictive eating disorders. Objective The purpose of this study was to test the concurrent and predictive validity of dietary-negative affect subtypes among patients with anorexia nervosa (AN; N = 194). Method Latent profile analysis was used to identify subtypes of AN based on dimensions of dietary restraint and negative affect. Chi-square and multivariate analysis of variance were used to characterize baseline differences between identified subtypes. Structural equation modeling was used to test whether dietary-negative affect subtypes would outperform DSM categories in predicting clinically relevant outcomes. Results Results supported a 2-profile model that replicated dietary-negative affect subtypes: Latent Profile 1 (n = 68) had clinically elevated scores on restraint only; Latent Profile 2 (n = 126) had elevated scores on both restraint and negative affect. Validation analyses showed that membership in the dietary-negative affect profile was associated with greater lifetime psychiatric comorbidity and psychosocial impairment compared to the dietary class. Dietary-negative affect subtypes only outperformed DSM categories in predicting quality-of-life impairment at 1-year follow-up. Conclusions Findings highlight the clinical utility of subtyping AN based on dietary restraint and negative affect for informing future treatment-matching or personalized medicine strategies. (PsycINFO Database Record

Targeted approaches for the treatment of severe and enduring anorexia nervosa (SE-AN) have been recommended, but there is no consensus definition of SE-AN to inform research and clinical practice. This study aimed to take initial steps toward developing an empirically based definition of SE-AN by characterizing associations among putative indicators of severity and chronicity in eating disorders. Patients with AN (N = 355) completed interviews and questionnaires at treatment admission and discharge; height and weight were assessed to calculate body mass index (BMI). Structural equation mixture modeling was used to test whether associations among potential indicators of SE-AN (illness duration, treatment history, BMI, binge eating, purging, quality-of-life) formed distinct subgroups, a single group with one or more dimensions, or a combination of subgroups and dimensions. A three-factor (dimensional), two-profile (categorical) mixture model provided the best fit to the data. Factor 1 included eating disorder behaviors; Factor 2 comprised quality-of-life domains; Factor 3 was characterized by illness duration, number of hospitalizations, and admission BMI. Profiles differed on eating disorder behaviors and quality-of-life, but not on indicators of chronicity or BMI. Factor scores, but not profile membership, predicted outcome at discharge from treatment. Data suggest that patients with AN can be classified on the basis of eating disorder behaviors and quality-of-life, but there was no evidence for a chronic subgroup of AN. Rather, indices of chronicity varied dimensionally within each class. Given that current definitions of SE-AN rely on illness duration, these findings have implications for research and clinical practice.

Eating disorders (EDs) often develop during adolescence and early adulthood but may persist, arise, or reemerge across the life span. Research and treatment efforts primarily focus on adolescent and young adult populations, leaving large knowledge gaps regarding ED symptoms across the entire developmental spectrum. The current study uses network analysis to compare central symptoms (i.e., symptoms that are highly connected to other symptoms) and symptom pathways (i.e., relations among symptoms) across five developmental stages (early adolescence, late adolescence, young adulthood, early-middle adulthood, middle-late adulthood) in a large sample of individuals with EDs (N = 29,902; N = 32,219) in two network models. Several symptoms related to overeating, food avoidance, feeling full, and overvaluation of weight and shape emerged as central in most or all developmental stages, suggesting that some core symptoms remain central across development. Despite similarities in central symptoms, significant differences in network structure (i.e., how symptom pathways are connected) emerged across age groups. These differences suggest that symptom interconnectivity (but not symptom severity) might increase across development. Future research should continue to investigate developmental symptom differences in order to inform treatment for individuals with EDs of all ages. (PsycINFO Database Record (c) 2020 APA, all rights reserved).

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.

Objective This virtual issue of the International Journal of Eating Disorders highlights recently published research that aligns with the broad themes of the 2019 International Conference on Eating Disorders (ICED), held in New York, NY, USA. Methods and results We selected articles that were published between 2017 and 2019 that complement the content of the keynote and plenary sessions. We also curated additional articles from early career scholars, given that an important component of the annual ICED is to foster the development and training of the next generation of eating-disorder clinicians and researchers. Discussion We hope that this virtual issue will spark more in-depth discussion and reflection on the topics, questions, and critical advances in the field of eating disorders that were presented at the 2019 ICED.