Trait-defined eating-disorder subtypes and history of childhood abuse

Reading tea leaves or tracking true constructs? An assessment of personality-based latent profiles in eating disorders

Background

Eating disorder (ED) subtyping studies have often extracted an undercontrolled, an overcontrolled and a resilient profile based on trait impulsivity and perfectionism. However, the extent to which methodological choices impact the coherence and distinctness of resulting subtypes remains unclear.

Objective

In this paper, we aimed to assess the robustness of these findings by extracting personality-based subtypes on a sample of ED patients (N = 221) under different analytic conditions.

Methods

We ran four latent profile analyses (LPA), varying the extent to which we constrained variances and covariances during model parametrization. We then performed a comparative analysis also including state ED symptom measures as indicators. Finally, we used cross-method validation via k-means clustering to further assess the robustness of our profiles.

Results

Our results demonstrated a four-profile model based on variances in impulsivity and perfectionism to fit the data well. Across model solutions, the profiles with the most and least state and trait disturbances were replicated most stably, while more nuanced variations in trait variables resulted in less consistent profiles. Inclusion of ED symptoms as indicator variables increased subtype differentiation and similarity across profiles. Validation cluster analyses aligned most with more restrictive LPA models.

Conclusion

These results suggest that ED subtypes track true constructs, since subtypes emerged method-independently. We found analytic methods to constrain the theoretical and practical conclusions that can be drawn. This underscores the importance of objective-driven analytic design and highlights its relevance in applying research findings in clinical practice.

Self-regulation profiles reflecting distinct levels of eating disorder and comorbid psychopathology in the adult population: A latent profile analysis

OBJECTIVE

Previous research showed that individuals with eating disorders (EDs) can be subtyped by their levels of psychopathology and self-regulation abilities. However, nothing is known about whether self-regulation abilities are solely suited to depict the heterogeneity in ED and comorbid psychopathology in nonclinical samples. Therefore, this study sought to explore self-regulation profiles and their ability to discriminate ED, depression and anxiety disorders, and personality dysfunction in the adult population.

METHODS

Within a German representative sample, N = 2391 adults (18-92 years) were examined using latent profile analysis to identify profiles based on established cognitive and emotional self-regulation scales including attention control, cognitive reappraisal, and difficulties in identifying feelings. Profiles were validated with ED, depression, anxiety, and personality dysfunction measures.

RESULTS

The final solution selected as best balancing goodness of fit and interpretability included four profiles-High-Functioning, Moderate-Functioning, Dysregulated, and Alexithymic-with high explanatory power of R²  = .99. Profiles were characterized primarily by differences in difficulties in identifying feelings followed by differences in attention control and differed significantly regarding ED, depression and anxiety disorders, and personality dysfunction, with the Dysregulated profile showing the most unfavorable correlates.

CONCLUSIONS

This study uniquely revealed that low cognitive and emotional self-regulation were indicators for ED, depression, anxiety, and personality dysfunction in the adult population. Future research should investigate whether the identified profiles predict the development of ED and comorbid psychopathology longitudinally.

PUBLIC SIGNIFICANCE

Individuals with eating disorders present with difficulties in cognitive and emotional self-regulation, likely maintaining their symptoms. This representative study in the German adult population sought to build profiles based on cognitive and emotional self-regulation that differed in eating disorder and comorbid psychopathology. We discuss the potential to detect individuals with elevated eating disorder and comorbid psychopathology based on the identified profiles in nonclinical settings.

A Retrospective Literature Review of Eating Disorder Research (1990–2021): Application of Bibliometrics and Topical Trends

Despite the growing importance of eating disorders in society and academic literature, only a few bibliometric review studies using bibliometric analysis were available. Hence, this study aimed to explore and uncover hidden research topics and patterns in articles in terms of eating disorders over the last 30 years. In total, 4111 articles on eating disorders were analyzed using bibliometrics, network analyses, and structural topic modeling as the basis of mixed methods. In addition to general statistics about the journal, several key research topics, such as eating disorder (ED) treatment, ED symptoms, factors triggering ED, family related factors, eating behaviors, and social factors, were found based on topic correlations. This study found the key research variables that are frequently studied with EDs, such as AN, BN, BED, and ARFID. This study may help clinicians comprehend important risk factors associated with EDs. Moreover, the findings about key ED research topics and their association can be helpful for future studies to construct a comprehensive ED research framework. To our knowledge, this is the first study to use topic modeling in an academic journal on EDs and examine the diversity in ED research over 30 years of published research.

Examining the roles of emotion dysregulation and impulsivity in the relationship between psychological trauma and substance abuse among women with bulimic-spectrum pathology

Individuals with bulimia nervosa report elevated rates of childhood maltreatment, which appears to increase risk for co-occurring substance use problems and negatively impact clinical course. The current study sought to examine the mechanistic pathways by which specific forms of childhood maltreatment may give rise to substance use problems among individuals with bulimic-spectrum pathology. Women with bulimic-spectrum disorders (N = 204) completed measures of childhood trauma, emotion dysregulation, impulsivity, and substance use. Path analysis was used to examine emotion dysregulation and impulsivity as mediators of the relationship between distinct forms of childhood trauma (physical abuse, physical neglect, emotional abuse, emotional neglect, and sexual abuse) and the presence of problematic alcohol/drug use. In the full path model, significant pathways from childhood emotional abuse to emotion dysregulation, childhood emotional neglect to impulsivity, and emotion dysregulation to problematic substance use emerged. Further, emotion dysregulation significantly mediated the relationship between emotional abuse and substance use. Results indicate that emotion dysregulation may be an important mechanism linking a history of childhood emotional maltreatment to later eating and substance use problems, and therefore may be an important treatment target among individuals with co-occurring eating and substance use concerns.Childhood emotional abuse was related to greater emotion dysregulation.Childhood emotional neglect was related to greater impulsivity.Emotion dysregulation was related to greater problematic substance use.Emotional abuse may impact substance use through emotion dysregulation.Creating emotion dysregulation may improve substance and eating disorder symptoms.

Lifetime patterns of comorbidity in eating disorders: An approach using sequence analysis

OBJECTIVE

Eating disorders (EDs) have high rates of psychiatric comorbidity. This study aimed to characterize longitudinal patterns of comorbidities in adults with EDs.

METHODS

Sequence analysis and hierarchical clustering were applied to ages of onset and recency for select eating, substance, mood, and anxiety disorders from the 479 participants in the Collaborative Psychiatric Epidemiology Surveys with lifetime DSM-IV bulimia nervosa, binge eating disorder, or anorexia nervosa. External validators were compared across clusters using chi-square tests.

RESULTS

Five clusters were identified among individuals with any lifetime ED based on longitudinal sequence of psychiatric disorder onset and remission, characterized as: (1) multi-comorbid with early onset of comorbid disorder (46%); (2) moderate preeminent anxiety with moderate comorbidity and low ED persistence (20%); (3) late ED onset with low comorbidity (15%); (4) early onset, persistent ED with low comorbidity (14%); and (5) chronic, early onset depression (5%). Clusters were well differentiated by significant differences in age, body mass index, race, and psychiatric indicators.

CONCLUSIONS

This study demonstrates a new method to assess clustering of comorbidity among individuals with lifetime EDs. Having a psychiatric diagnosis prior to an ED was associated with greater psychopathology and illness duration. Information on timing of diagnoses may allow for more refined comorbidity classification.

Empirically derived personality subtyping for predicting clinical symptoms and treatment response in bulimia nervosa

OBJECTIVE

Evidence suggests that eating disorder subtypes reflecting under-controlled, over-controlled, and low psychopathology personality traits constitute reliable phenotypes that differentiate treatment response. This study is the first to use statistical analyses to identify these subtypes within treatment-seeking individuals with bulimia nervosa (BN) and to use these statistically derived clusters to predict clinical outcomes.

METHODS

Using variables from the Dimensional Assessment of Personality Pathology-Basic Questionnaire, K-means cluster analyses identified under-controlled, over-controlled, and low psychopathology subtypes within BN patients (n = 80) enrolled in a treatment trial. Generalized linear models examined the impact of personality subtypes on Eating Disorder Examination global score, binge eating frequency, and purging frequency cross-sectionally at baseline and longitudinally at end of treatment (EOT) and follow-up. In the longitudinal models, secondary analyses were conducted to examine personality subtype as a potential moderator of response to Cognitive Behavioral Therapy-Enhanced (CBT-E) or Integrative Cognitive-Affective Therapy for BN (ICAT-BN).

RESULTS

There were no baseline clinical differences between groups. In the longitudinal models, personality subtype predicted binge eating (p = 0.03) and purging (p = 0.01) frequency at EOT and binge eating frequency at follow-up (p = 0.045). The over-controlled group demonstrated the best outcomes on these variables. In secondary analyses, there was a treatment by subtype interaction for purging at follow-up (p = 0.04), which indicated a superiority of CBT-E over ICAT-BN for reducing purging among the over-controlled group.

DISCUSSION

Empirically derived personality subtyping appears to be a valid classification system with potential to guide eating disorder treatment decisions. © 2016 Wiley Periodicals, Inc.(Int J Eat Disord 2017; 50:506-514).

Associations between adverse childhood experiences and clinical characteristics of eating disorders

Patients with eating disorders (EDs) frequently report a history of childhood trauma (CT). We investigated whether certain subtypes of CT are associated with more severe features of EDs, independently of psychiatric comorbidity, and whether they act additively. One hundred and ninety-two patients with DSM-V-defined EDs were consecutively recruited. Five clinical characteristics were assessed: restraint, eating, shape and weight concerns on the EDE-Q, and daily functioning. CT was assessed by the childhood traumatism questionnaire. The clinical features were associated with at least one CT subtype (emotional, sexual or physical abuse, emotional neglect). Multivariate analyses adjusted for lifetime comorbid psychiatric disorders revealed that emotional abuse independently predicted higher eating, shape and weight concerns and lower daily functioning, whereas sexual and physical abuse independently predicted higher eating concern. A dose-effect relationship characterised the number of CT subtypes and the severity of the clinical features, suggesting a consistent and partly independent association between CT and more severe clinical and functional characteristics in EDs. Emotional abuse seems to have the most specific impact on ED symptoms. Last, not all CT subtypes have the same impact but they do act additively.

How the Interaction of Childhood Sexual Abuse and Gender Relates to HIV Risk Practices among Urban-Dwelling African Americans

Purpose

Previous research has demonstrated that HIV risk practices often differ based on gender and on whether or not people experienced sexual abuse during their formative (i.e., childhood and adolescence) years. The interaction of these two factors, which is the focus of this paper, has received limited attention.

Methods

Based on a model derived from Social Disorganization Theory and Syndemics Theory, interviews were conducted between 2009 and 2012 with 1,864 African American adults residing in Atlanta, Georgia in 80 strategically-chosen consensus block groups.

Results

Based on multiple regression and structural equation analyses, the interaction of sexual abuse and gender was found to be a significant predictor of involvement in (un)protected sex. The interaction of sexual abuse and gender also was related to condom use self-efficacy, which was one of the strongest factors underlying (un)protected sex.

Conclusion

The relationship of sexual abuse history and gender is relevant in the understanding of HIV risk practices. The interaction of these factors with one another and with other relevant influences that shape people's HIV risk profiles is complex. The Syndemics Theory approach used to conceptualize the relationships among relevant variables in this study is an effective way of trying to understand and address HIV risk practices.

Biomarkers of Eating Disorders Using Support Vector Machine Analysis of Structural Neuroimaging Data: Preliminary Results

Presently, there are no valid biomarkers to identify individuals with eating disorders (ED). The aim of this work was to assess the feasibility of a machine learning method for extracting reliable neuroimaging features allowing individual categorization of patients with ED. Support Vector Machine (SVM) technique, combined with a pattern recognition method, was employed utilizing structural magnetic resonance images. Seventeen females with ED (six with diagnosis of anorexia nervosa and 11 with bulimia nervosa) were compared against 17 body mass index-matched healthy controls (HC). Machine learning allowed individual diagnosis of ED versus HC with an Accuracy ≥ 0.80. Voxel-based pattern recognition analysis demonstrated that voxels influencing the classification Accuracy involved the occipital cortex, the posterior cerebellar lobule, precuneus, sensorimotor/premotor cortices, and the medial prefrontal cortex, all critical regions known to be strongly involved in the pathophysiological mechanisms of ED. Although these findings should be considered preliminary given the small size investigated, SVM analysis highlights the role of well-known brain regions as possible biomarkers to distinguish ED from HC at an individual level, thus encouraging the translational implementation of this new multivariate approach in the clinical practice.

The diagnostic classification of eating disorders: current situation, possible alternatives and future perspectives

The current nosography of eating disorders (ED) has various limitations in terms of validity and accuracy. The changes adopted in the DSM-5 limit some of the current problems, such as excessive prevalence of ED not otherwise specified (EDNOS) and the lack of longitudinal stability, but are unlikely to adequately capture the clinical complexity of ED. Many authors suggest the need for a thorough review of the current nosography to support evidence-based classification. In this paper, we discuss the validity of the current diagnostic categories and their possible reorganization. Furthermore, we review the main empirical models of classification and the diagnostic approach from a personality perspective, with particular attention to research and to the prognostic and therapeutic implications.

Response patterns on interview and questionnaire versions of the Eating Disorder Examination and their impact on latent structure analyses

OBJECTIVE

The purpose of this investigation was to compare the latent structures of the interview (EDE) and questionnaire (EDE-Q) versions of the Eating Disorder Examination.

METHODS

Participants were 280 children, adolescents, and young adults seeking eating disorder treatment. Two separate latent structure analyses (LSAs) were conducted; one used variables from the EDE as indicators and the other used the corresponding variables from the EDE-Q as indicators.

RESULTS

The EDE and EDE-Q models both yielded four-class solutions. Three of the four classes from the EDE-Q model demonstrated moderate to high concordance with their paired class from the EDE model. Using the EDE-Q to detect the EDE, the sensitivity and specificity of measuring certain classes varied from poor (18.6%) to excellent (93.7%). The overall concordance was moderate (κ=.49).

DISCUSSION

These data suggest that LSAs using the EDE and EDE-Q may be directly compared; however, differences between results may represent inconsistencies in response patterns rather than true differences in psychopathology.

Alternative methods of classifying eating disorders: models incorporating comorbid psychopathology and associated features

There is increasing recognition of the limitations of current approaches to psychiatric classification. Nowhere is this more apparent than in the eating disorders (EDs). Several alternative methods of classifying EDs have been proposed, which can be divided into two major groups: 1) those that have classified individuals on the basis of disordered eating symptoms; and, 2) those that have classified individuals on the basis of comorbid psychopathology and associated features. Several reviews have addressed symptom-based approaches to ED classification, but we are aware of no paper that has critically examined comorbidity-based systems. Thus, in this paper, we review models of classifying EDs that incorporate information about comorbid psychopathology and associated features. Early approaches are described first, followed by more recent scholarly contributions to comorbidity-based ED classification. Importantly, several areas of overlap among the classification schemes are identified that may have implications for future research. In particular, we note similarities between early models and newer studies in the salience of impulsivity, compulsivity, distress, and inhibition versus risk taking. Finally, we close with directions for future work, with an emphasis on neurobiologically-informed research to elucidate basic behavioral and neuropsychological correlates of comorbidity-based ED classes, as well as implications for treatment.

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.

Personality and temperament

The assessment of personality and temperament in the context of eating disorders (EDs) poses unique challenges because of the physiological symptoms and sequelae of these illnesses. Four models of the relationship between personality and EDs are presented, along with a discussion of the different methodological designs which can evaluate these models. Current data support the likelihood that neuroticism and perfectionism are risk factors for EDs. Perfectionism and the related obsessive-compulsive personality disorder may also share a common cause with anorexia nervosa. High harm avoidance and low self-directedness also characterize all EDs, though more data are needed to confirm their role as risk factors; importantly however, this combination of traits may diminish one's ability to cope with stressful life events. At the other end of the spectrum, considering impulsivity multidimensionally may be important to understanding the role of this personality trait in EDs, though existing data do not yet allow for conclusions regarding its role as a risk factor versus a consequence of the ED. All of the identified traits that may be risk factors are also exacerbated as a consequence of having, or having had, an ED. Finally, the role of personality disorders in influencing the course and outcome of EDs is still unclear. A fruitful avenue for future research in this area is to utilize personality and temperament to classify individuals in a way that allows for the best chance of identifying genetic loci that confer increased risk for EDs.