Application of network analysis to investigate sex differences in interactive systems of eating-disorder psychopathology

Eating disorder symptom dimensions and protective factors: A structural network analysis study

Eating Disorders (EDs) and related symptoms pose a substantial public health concern due to their widespread prevalence among both genders and associated negative outcomes, underscoring the need for effective preventive interventions. In this context, deepening our understanding of the interplay between ED symptoms and related protective factors appears crucial. Therefore, this study employed a structural network analysis approach considering both ED symptom dimensions (i.e., drive for thinness, bulimic symptoms, and body dissatisfaction) and related protective factors (i.e., body and functionality appreciation, intuitive eating, and self-esteem) to shed light on how these factors are interrelated. A community sample of 1391 individuals (34.4% men; Mage = 26.4 years) completed a socio-demographic schedule and self-report questionnaires. The network showed that the nodes with the highest positive expected influence were body and functionality appreciation, while those with the highest negative expected influence were eating for physical rather than emotional reasons and unconditional permission to eat (i.e., two components of intuitive eating). Crucially, the most relevant bridges between the conceptual communities "ED symptom dimensions" and "Protective factors" were the negative relations between (a) eating for physical rather than emotional reasons and bulimic symptoms, (b) unconditional permission to eat and drive for thinness, and (c) body appreciation and body dissatisfaction. Finally, age, gender, and body mass index did not moderate any edge in the network. The practical implications of these findings are discussed, especially in terms of preventive interventions for ED symptoms.

Which Symptoms Bridge Symptoms of Depression and Symptoms of Eating Disorders?: A Network Analysis

ABSTRACT

Depression is a common comorbid mental illness in eating disorders (EDs). Network theory focuses on interactions between symptoms, but findings from network analyses of EDs and depression need to be replicated to make reliable claims about the nature of symptomatic interplay. We used cross-sectional data of 366 online-recruited participants with clinically elevated ED symptomatology and constructed a regularized partial correlation network with ED and depression symptoms. To determine each symptom's influence, we calculated expected influence (EI) and bridge EI to identify symptoms that bridged symptoms of depression and ED. Concerns that others see one eat, fear of weight gain, and fear of loss of control over eating were especially important among the ED symptoms. Loss of interest and feeling sad were the key depression symptoms. Eating in secret and low self-esteem emerged as potential bridge symptoms between clusters. These findings regarding bridge symptoms partially overlap with prior network analyses in nonclinical and clinical samples. Future studies that investigate symptom interplay via a longitudinal design to deduce causality are needed.

Proposal for increasing diagnostic clarity in research and clinical practice by renaming and reframing atypical anorexia nervosa as "Restrictive Eating Disorder" (RED)

Atypical anorexia nervosa (AAN) in the Diagnostic and Statistical Manual of Mental Disorders, 5th edition (DSM-5), is characterized by meeting all criteria for anorexia nervosa (AN) except for weight being within or above the "normal" range despite significant weight loss. The current definition is plagued by several problems, resulting in widely heterogeneous operationalizations in research and clinical practice. As such, the poorly defined diagnosis of AAN negatively impacts affected individuals and frustrates research attempts to better understand the syndrome. We consider conceptual flaws in the AAN description and contend that the undefined weight range and nature of weight loss renders these two factors functionally inapplicable in research and practice. They also represent a departure from the originally intended use of the AAN category, i.e., arresting a negative weight trajectory likely to result in AN, making the target population, and the application of the label, unclear. We propose revised criteria and a new name, restrictive eating disorder (RED), intended to reduce stigma and encompass a wide but better-defined range of presentations. The RED criteria focus on clinically significant restrictive behavior that disrupts normal living (i.e., impairment), and cognitive symptoms of overevaluation, disturbed experience, and lack of recognition of illness seriousness. We believe that RED may enable more appropriate clinical application, but also inspire coordinated research toward a more valid psychiatric nosology in the eating disorders field.

Eating disorder psychopathology and resilience in Iranian college students: A network analysis

OBJECTIVE

Eating disorder (ED) psychopathology is common among Iranian college students. Resilience (i.e., the ability to bounce back and adapt in the face of adverse and stressful conditions) has been found to be a protective factor against ED psychopathology in the West. However, no research to date has examined resilience as a protective factor against ED psychopathology in Iran. The current study used network analysis to examine an ED and resilience network in an Iranian sample.

METHOD

Participants were Iranian college students (N = 478) who completed the Farsi-Eating Disorder Examination-Questionnaire and Farsi-Brief Resilience Scale. We estimated a network of ED symptoms and resilience processes and identified central and bridge symptoms.

RESULTS

Central ED and resilience nodes were discomfort in seeing one's own body, feeling guilty about eating due to shape/weight, and thinking about shape and weight making it difficult to concentrate. Having a hard time making it through stressful events bridged with binge eating and fear of losing control over eating.

CONCLUSION

Processes related to managing stress and binge eating appear to maintain the association between ED symptoms and resilience processes.

Network-based validation of the psychometric questionnaire EDI-3 for the assessment of eating disorders

Assessing the validity of a psychometric test is fundamental to ensure a reliable interpretation of its outcomes. Few attempts have been made recently to complement classical approaches (e.g., factor models) with a novel technique based on network analysis. The objective of the current study is to carry out a network-based validation of the Eating Disorder Inventory 3 (EDI-3), a questionnaire designed for the assessment of eating disorders. Exploiting a reliable, open source sample of 1206 patients diagnosed with an eating disorder, we set up a robust validation process encompassing detection and handling of redundant EDI-3 items, estimation of the cross-sample psychometric network, resampling bootstrap procedure and computation of the median network of the replica samples. We then employed a community detection algorithm to identify the topological clusters, evaluated their coherence with the EDI-3 subscales and replicated the full validation analysis on the subpopulations corresponding to patients diagnosed with either anorexia nervosa or bulimia nervosa. Results of the network-based analysis, and particularly the topological community structures, provided support for almost all the composite scores of the EDI-3 and for 2 single subscales: Bulimia and Maturity Fear. A moderate instability of some dimensions led to the identification of a few multidimensional items that should be better located in the intersection of multiple psychological scales. We also found that, besides symptoms typically attributed to eating disorders, such as drive for thinness, also non-specific symptoms like low self-esteem and interoceptive deficits play a central role in both the cross-sample and the diagnosis-specific networks. Our work adds insights into the complex and multidimensional structure of EDI-3 by providing support to its network-based validity on both mixed and diagnosis-specific samples. Moreover, we replicated previous results that reinforce the transdiagnostic theory of eating disorders.

Eating disorder psychopathology dimensions based on individual co-occurrence patterns of symptoms over time: a dynamic time warp analysis in a large naturalistic patient cohort

PURPOSE

Most of the network approaches in eating disorders found the highest degree of centrality for symptoms related to weight and shape concerns. However, longitudinal analyses are scarce and may increase our insight of the complex characteristics and dynamics over time. In the current study, an alternative non-linear method to perform longitudinal network analyses, the dynamic time warp approach, was used to examine whether robust dimensions of eating disorder psychopathology symptoms could be found based on the individual dynamic interplay of eating disorder symptoms co-occurrence patterns in time.

METHODS

The study sample included a naturalistic cohort of patients (N = 255) with all eating disorder subtypes who were assessed with the eating disorder examination questionnaire (EDE-Q) at a minimum of four times during treatment. Dynamic time warp analyses yielded distance matrices within each individual patient, which were subsequently aggregated into symptom networks and dimensions at the group level.

RESULTS

Aggregation of the individual distance matrices at the group level yielded four robust symptom dimensions: 1. restraint/rules, 2. secret eating/fasting, 3. worries/preoccupation, and 4. weight and shape concern. The items 'fear of weight gain' and 'guilt' were bridge symptoms between the dimensions 1, 3 and 4.

CONCLUSION

Dynamic time warp could capture the within-person dynamics of eating disorder symptoms. Sumscores of the four dimensions could be used to follow patients over time. This approach could be applied in the future to visualize eating disorder symptom dynamics and signal the central symptoms within an individual and groups of patients.

LEVEL OF EVIDENCE

Level III: evidence obtained from well-designed cohort or case-control analytic studies. .

Eating disorder psychopathology and negative affect in Iranian college students: a network analysis

BACKGROUND

ED psychopathology is becoming more prevalent in Iran. Negative affect has been found to be an important risk factor in eating disorder (ED) onset in research conducted in Western countries, and is also emerging as a potential vulnerability factor to ED psychopathology in Iran. Network theory offers a novel framework to understand the association between negative affect and ED psychopathology in Iran. The primary aim of the current study was to use network analysis to identify bridge symptoms (i.e., symptoms that activate or weaken symptoms in another cluster) across a negative affect and ED psychopathology network among Iranian college students. We also aimed to identify core symptoms (i.e., nodes that demonstrate the strongest connections to other nodes).

METHOD

Participants were Iranian college students (n = 637; 60.3% women) who completed the Farsi-eating disorder examination-questionnaire and Farsi-negative affect. We estimated a network of ED symptoms and negative affective states and identified bridge and central symptoms.

RESULTS

Hostility and shame emerged as central bridge symptoms across the negative affect and ED psychopathology clusters. The most central nodes were strong desire to lose weight, definite fear of losing control over eating, and binge eating episodes.

CONCLUSION

The negative affective states of hostility and shame may increase vulnerability to ED psychopathology among Iranian college students. Findings have important implications for ED prevention programs that should be examined in future research.

Generalized network psychometrics of eating-disorder psychopathology

OBJECTIVE

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.

METHOD

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).

RESULTS

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.

DISCUSSION

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.

Network-based methods for psychometric data of eating disorders: A systematic review

BACKGROUND

Network science represents a powerful and increasingly promising method for studying complex real-world problems. In the last decade, it has been applied to psychometric data in the attempt to explain psychopathologies as complex systems of causally interconnected symptoms. One category of mental disorders, relevant for their severity, incidence and multifaceted structure, is that of eating disorders (EDs), serious disturbances that negatively affect a person's eating behavior.

AIMS

We aimed to review the corpus of psychometric network analysis methods by scrutinizing a large sample of network-based studies that exploit psychometric data related to EDs. A particular focus is given to the description of the methodologies for network estimation, network description and network stability analysis providing also a review of the statistical software packages currently used to carry out each phase of the network estimation and analysis workflow. Moreover, we try to highlight aspects with potential clinical impact such as core symptoms, influences of external factors, comorbidities, and related changes in network structure and connectivity across both time and subpopulations.

METHODS

A systematic search was conducted (February 2022) on three different literature databases to identify 57 relevant research articles. The exclusion criteria comprehended studies not based on psychometric data, studies not using network analysis, studies with different aims or not focused on ED, and review articles.

RESULTS

Almost all the selected 57 papers employed the same analytical procedures implemented in a collection of R packages specifically designed for psychometric network analysis and are mostly based on cross-sectional data retrieved from structured psychometric questionnaires, with just few exemptions of panel data. Most of them used the same techniques for all phases of their analysis. In particular, a pervasive use of the Gaussian Graphical Model with LASSO regularization was registered for in network estimation step. Among the clinically relevant results, we can include the fact that all papers found strong symptom interconnections between specific and nonspecific ED symptoms, suggesting that both types should therefore be addressed by clinical treatment.

CONCLUSIONS

We here presented the largest and most comprehensive review to date about psychometric network analysis methods. Although these methods still need solid validation in the clinical setting, they have already been able to show many strengths and important results, as well as great potentials and perspectives, which have been analyzed here to provide suggestions on their use and their possible improvement.

Eating disorder and social anxiety symptoms in Iranian preadolescents: a network analysis

PURPOSE

Network studies of eating disorder (ED) symptoms have identified central and bridge symptoms in Western samples, yet few network models of ED symptoms have been tested in non-Western samples, especially among preadolescents. The current study tested a network model of ED symptoms in Iranian preadolescents (ages 9 to 13), as well as a model of co-occurring social anxiety disorder (SAD) and ED symptoms.

METHOD

Preadolescent boys (n = 405) and girls (n = 325) completed the Children Eating Attitudes Test-20 and Social Anxiety Scale for Children. We estimated two network models (ED and ED/SAD networks) and identified central and bridge symptoms, as well as tested if these models differed by sex.

RESULTS

We found that discomfort eating sweets were the most central symptoms in ED networks. Concern over being judged was central in networks including both ED and SAD symptoms. Additionally, concern over being judged was the strongest bridge symptoms. Networks did not differ by sex.

CONCLUSION

Future research is needed to test if interventions focused on bridge symptoms (i.e., concern over being judged) as primary intervention points target comorbid ED-SAD pathology in preadolescents at risk for ED and SAD.

LEVEL OF EVIDENCE

Level III; Evidence obtained from well-designed observational study, including case-control design for relevant aspects of the study.

The eating disorder examination questionnaire for adults from the Mexican general population: Reliability and validity

The Eating Disorder Examination Questionnaire is a widely used self-report questionnaire for eating disorders. An Eating Disorder Examination Questionnaire model that is not lacking in relevant content has been supported in three different samples, but existing studies on this model present shortcomings regarding generalizations to the general population. Therefore, the general purpose of the current research was to test the reliability and interpretation validity of the Eating Disorder Examination Questionnaire 6.0 scores in adults of both sexes from the Mexican general population. After translating, adapting, and assessing the Eating Disorder Examination Questionnaire 6.0 in the target population through three pilot studies, we conducted two independent studies. In Study 1, 684 women and 433 men aged 18–83 participated, whereas in Study 2, 591 women and 382 men aged 18–86 did it. They answered the Eating Disorder Examination Questionnaire 6.0 and a measure of either body dissatisfaction (Study 1) or self-esteem (Study 2). According to confirmatory factor analyses, the 14-item Eating Disorder Examination Questionnaire model that we tested fit acceptably for the four samples (two female, two male) and was invariant across sex. All 14-item Eating Disorder Examination Questionnaire 6.0 scores were reliable according to Cronbach’s alpha and McDonald’s omega, except for only one factor score in men. Pearson’s correlations of the 14-item Eating Disorder Examination Questionnaire 6.0 scores with body dissatisfaction and self-esteem were positive and negative, respectively. This new Latin American Spanish translation of the Eating Disorder Examination Questionnaire 6.0 works broadly as expected and provides evidence to extend the generalization of previous studies to the general population. Thus, the present translation of the Eating Disorder Examination Questionnaire 6.0 may be a valuable tool in the field of eating disorders for researchers and practitioners studying or serving Latin American Spanish speakers of either sex from the general population.

Mindfulness and Eating Disorders: A Network Analysis

Higher trait mindfulness may be protective against eating disorder (ED) pathology. However, little is understood about which specific mindfulness processes connect to specific ED symptoms. This study (N = 1,056 undergraduates) used network analysis at the symptom/process level to identify: (1) central nodes, or symptoms/processes with the greatest collective connection with all other symptoms/processes; and (2) bridge nodes, or symptoms/processes driving interconnection between mindfulness processes and ED symptoms. We conducted analyses both with and without food- and body-related mindfulness items. Central nodes included: describing how one feels in detail, expressing how one feels in words, and feeling guilty about eating due to shape/weight. Bridge nodes connecting higher mindfulness processes with lower ED symptoms included: the eating disorder symptom, being uncomfortable about others seeing one eat, and the mindfulness process, not criticizing oneself for having irrational/inappropriate emotions. Bridge nodes connecting higher mindfulness processes with higher ED symptoms included: noticing sensations of the body moving when walking and noticing how food/drinks affect thoughts, bodily sensations, and emotions. Findings suggest that future research should explore whether mindfulness-based interventions for EDs may be more effective by targeting mindfulness processes related to describing, expressing, and accepting emotions, accepting discomfort when eating with others, and reducing hyper-focus on and reactivity to food-and-body related sensations.

Disordered eating through the lens of positive psychology: The role of embodiment, self-esteem and identity coherence

Applying a positive psychology perspective, this study aimed to identify potential intra-individual factors that might protect against the development of disordered eating in a community sample of young women and men (N = 510; 56 % women; M_age = 24.3). Based on existing literature, the study included the general resilience factors of self-esteem and identity coherence as well as two dimensions of positive embodiment (positive body connection and comfort, and agency and functionality). All factors were negatively correlated with disordered eating among women and men. Hierarchical regression analyses indicated that positive embodiment, specifically positive body connection, was a significant predictor of lower degrees of disordered eating symptoms in both women and men, followed by self-esteem. The overall prediction model accounted for 42.6 % in the variation of disordered eating symptoms for women and 23.9 % for men. Prevention and treatment interventions promoting health factors that protect against the development of eating disorders are much needed. The present study informs such efforts by emphasizing the promotion of positive embodiment.

Depression and eating disorders in early adolescence: A network analysis approach

OBJECTIVE

Eating disorders (EDs) and depression are among the most debilitating and pervasive mental illnesses. Although they often co-occur, the relationship between EDs and depression remains poorly understood. This study used network analysis to explore the symptom-level relationship between EDs and depression among a sample of Australian adolescents completing their first year of secondary school.

METHOD

Adolescents (N = 4,421) aged between 10 and 15 years completed the Centre for Epidemiological Depression Scale and the Eating Disorder Examination-Questionnaire. Network structure was estimated using the Gaussian graphical model and node centrality was assessed using one-step expected influence (EI) and bridge EI.

RESULTS

"Depressed," "lonely," and "low energy" were identified as core symptoms of depression. "Shape and weight dissatisfaction," "desire to lose weight," and "preoccupation with shape or weight" were identified as core ED symptoms. "Irritable," "social eating," and "depressed" were identified as the most important nodes connecting (i.e., bridging) symptoms of depression and EDs.

DISCUSSION

This study provides an important symptom-level conceptualization of the association between depression and ED symptoms in a community sample of adolescents. This preliminary evidence may guide the development of public health prevention and early intervention programs. Future research should be conducted to address the study limitations (e.g., cross-sectional design).

Change in eating-disorder psychopathology network structure in patients with anorexia nervosa treated with intensive cognitive behavior therapy

OBJECTIVE

This study was designed to compare the change in eating-disorder feature networks in patients with anorexia nervosa after treatment with intensive enhanced cognitive behavior therapy (CBT-E).

METHODS

Patients seeking treatment for anorexia nervosa were consecutively recruited from January 2016 to September 2020. All patients aged ≥16 years who completed a 20-week intensive CBT-E program (13 weeks of inpatient followed by 7 weeks of day-hospital treatment) were included in the study. Body mass index (BMI) was measured, and the Eating Disorder Examination Questionnaire completed for each patient, both at baseline and the end of treatment.

RESULTS

The sample comprised 214 patients with anorexia nervosa. Treated patients showed significant improvements in BMI and eating-disorder psychopathology. Network analysis revealed a significant reduction in the network global and connection strengths at the end of treatment. The most central and highly interconnected nodes in the network at baseline were related to the drive for thinness, but at the end of treatment to body image concerns. Some edge connections were significantly stronger at baseline than at the end of treatment, while others were significantly stronger at the end of treatment than at baseline.

DISCUSSION

CBT-E reduces the psychopathology network connectivity over time in patients with anorexia nervosa. The differences in central nodes and edge connections between baseline and end of treatment, not detected by classical inferential analysis, may be informative for understanding the centrality of symptoms in the psychopathology network, and how a specific treatment may act to reduce symptoms and change their connections over time.

The psychometric network structure of mental health in eating disorder patients

OBJECTIVE

Psychometric network analysis has led to new possibilities to assess the structure and dynamics of psychiatric disorders. The current study focuses on mental health networks in patients with anorexia nervosa, bulimia nervosa, binge eating disorder and other specified eating disorders (EDs).

METHOD

Network analyses were applied with five mental health domains (emotional, psychological and social well-being, and general and specific psychopathology) among 905 ED patients. Also, networks of 36 underlying symptoms related to the domains were estimated. The network stability, structure and (bridge) centrality of the nodes were assessed for the total group and each ED type. Network differences between the ED types were also examined.

RESULTS

ED psychopathology was only weakly connected with the well-being domains. Psychological well-being was the most central node in the domain network. The most central nodes in the symptom network were feeling depressed, feeling worthless, purpose in life and self-acceptance. Bridge symptoms between well-being and psychopathology were self-acceptance, environmental mastery, interested in life and feeling depressed. There were no network differences between the ED types in both the domain and symptom networks.

CONCLUSIONS

This study shows novel associations between well-being and psychopathology in ED patients. Central domains and their underlying symptoms may be especially important to consider in treatment for promoting mental health in ED patients.

Network Analysis of Posttraumatic Stress and Eating Disorder Symptoms in a Community Sample of Adults Exposed to Childhood Abuse

Posttraumatic stress disorder (PTSD) and eating disorders (EDs) are individually debilitating and highly comorbid conditions. Childhood abuse is a prominent risk factor for PTSD and ED symptoms both individually and as a comorbid syndrome (PTSD-ED). There may be a functional association between comorbid PTSD-ED symptoms whereby disordered eating behaviors are used to avoid trauma-related thoughts and feelings. The current study used a network analytic approach to examine key associations between PTSD and ED symptom subscales (i.e., PCL-5 and EPSI, respectively) in a community sample of 120 adults who endorsed at least one experience of childhood abuse (i.e., physical, sexual, or emotional abuse; witnessing domestic violence). Participants completed an anonymous online survey using Amazon's Mechanical Turk Prime. We used three network analysis indices (i.e., strength centrality, key players, and bridge symptoms) to identify symptoms that may maintain the comorbid PTSD-ED network. The results indicated that reexperiencing symptoms had the highest strength centrality in the PTSD-ED network and bridged the PTSD and ED clusters. For ED, cognitive restraint was a bridge to all PTSD symptoms. Hyperarousal, negative alterations in cognitions and mood (NACM), and purging were key players, indicating they are integral to the network structure. If replicated in prospective studies, these results may indicate that reexperiencing and cognitive restraint are core drivers of PTSD-ED comorbidity, whereas hyperarousal, NACM, and purging may be downstream consequences maintaining the comorbid condition. Concurrent treatments that address PTSD and ED symptoms simultaneously may result in the best outcomes.

A network investigation of core symptoms and pathways across duration of illness using a comprehensive cognitive-behavioral model of eating-disorder symptoms

BACKGROUND

In the past decade, network analysis (NA) has been applied to psychopathology to quantify complex symptom relationships. This statistical technique has demonstrated much promise, as it provides researchers the ability to identify relationships across many symptoms in one model and can identify central symptoms that may predict important clinical outcomes. However, network models are highly influenced by node selection, which could limit the generalizability of findings. The current study (N = 6850) tests a comprehensive, cognitive-behavioral model of eating-disorder symptoms using items from two, widely used measures (Eating Disorder Examination Questionnaire and Eating Pathology Symptoms Inventory).

METHODS

We used NA to identify central symptoms and compared networks across the duration of illness (DOI), as chronicity is one of the only known predictors of poor outcome in eating disorders (EDs).

RESULTS

Our results suggest that eating when not hungry and feeling fat were the most central symptoms across groups. There were no significant differences in network structure across DOI, meaning the connections between symptoms remained relatively consistent. However, differences emerged in central symptoms, such that cognitive symptoms related to overvaluation of weight/shape were central in individuals with shorter DOI, and behavioral central symptoms emerged more in medium and long DOI.

CONCLUSIONS

Our results have important implications for the treatment of individuals with enduring EDs, as they may have a different core, maintaining symptoms. Additionally, our findings highlight the importance of using comprehensive, theoretically- or empirically-derived models for NA.

Metacognition and emotion regulation as treatment targets in binge eating disorder: a network analysis study

BACKGROUND

This study aims to examine the underlying associations between eating, affective and metacognitive symptoms in patients with binge eating disorder (BED) through network analysis (NA) in order to identify key variables that may be considered the target for psychotherapeutic interventions.

METHODS

A total of 155 patients with BED completed measures of eating psychopathology, affective symptoms, emotion regulation and metacognition. A cross-sectional network was inferred by means of Gaussian Markov random field estimation using graphical LASSO and the extended Bayesian information criterion (EBIC-LASSO), and central symptoms of BED were identified by means of the strength centrality index.

RESULTS

Impaired self-monitoring metacognition and difficulties in impulse control emerged as the symptoms with the highest centrality. Conversely, eating and affective features were less central. The centrality stability coefficient of strength was above the recommended cut-off, thus indicating the stability of the network.

CONCLUSIONS

According to the present NA findings, impaired self-monitoring metacognition and difficulties in impulse control are the central nodes in the psychopathological network of BED whereas eating symptoms appear marginal. If further studies with larger samples replicate these results, metacognition and impulse control could represent new targets of psychotherapeutic interventions in the treatment of BED. In light of this, metacognitive interpersonal therapy could be a promising aid in clinical practice to develop an effective treatment for BED.

Disordered eating, self-esteem, and depression symptoms in Iranian adolescents and young adults: A network analysis

OBJECTIVE

The network theory of psychopathology examines networks of interconnections across symptoms. Several network studies of disordered eating have identified central and bridge symptoms in Western samples, yet network models of disordered eating have not been tested in non-Western samples. The current study tested a network model of disordered eating in Iranian adolescents and college students, as well as models of co-occurring depression and self-esteem.

METHOD

Participants were Iranian college students (n= 637) and adolescents (n = 1,111) who completed the Eating Disorder Examination-Questionnaire (EDE-Q), Rosenberg Self-Esteem Scale (RSES) and Beck Depression Inventory, Second Edition (BDI-II). We computed six Glasso networks and identified central and bridge symptoms.

RESULTS

Central disordered eating nodes in most models were a desire to lose weight and discomfort when seeing one's own body. Central self-esteem and depression nodes were feeling useless and self-dislike, respectively. Feeling like a failure was the most common bridge symptom between disordered eating and depression symptoms. With exception of a few differences in some edges, networks did not significantly differ in structure.

DISCUSSION

Desire to lose weight was the most central node in the networks, which is consistent with sociocultural theories of disordered eating development, as well as prior network models from Western-culture samples. Feeling like a failure was the most central bridge symptom between depression and disordered eating, suggesting that very low self-esteem may be a shared correlate or risk factor for disordered eating and depression in Iranian adolescents and young adults.

Eating disorder psychopathology in adults and adolescents with anorexia nervosa: A network approach

OBJECTIVE

The aim of this study was to assess and compare eating disorder feature networks in adult and adolescent patients with anorexia nervosa.

METHODS

Patients seeking treatment for anorexia nervosa in inpatient and outpatient settings were consecutively recruited from January 2008 to September 2019. Body mass index was measured, and each patient completed the Eating Disorder Examination Questionnaire.

RESULTS

The sample comprised 547 adolescent and 724 adult patients with anorexia nervosa. Network analysis showed that in both adults and adolescents, the most central and highly interconnected nodes in the network were related to shape overvaluation and desiring weight loss. The network comparison test identified similar global strength and network invariance, confirming the similarity of the two network structures.

DISCUSSION

The network structures in adult and adolescent patients with anorexia nervosa are similar, and lend weight to the cognitive behavioral theory that overvaluation of shape and weight is the core feature of anorexia nervosa psychopathology.

Introduction to a special issue on eating disorders and related symptomatology in male populations

OBJECTIVE

It is our sincere pleasure to introduce a special issue of the International Journal of Eating Disorders focused on eating disorders and related symptoms in male populations.

METHOD

Contributions focused on three main themes among male populations: (a) the nature of eating disorder symptoms and recovery; (b) long-term outcomes following eating disorders treatment; and (c) muscularity-oriented symptoms of eating pathology.

RESULTS

The contributions to this special issue highlight the importance of better understanding how eating disorder symptoms manifest, may be maintained, and respond to treatment among male populations. Findings across the articles demonstrate some similarities between male and female samples with respect to core eating disorder symptoms, as well as important differences, particularly with respect to muscularity-oriented disordered eating. Findings related to treatment outcome also highlight the suboptimal long-term remission rates and elevated mortality among male inpatients with eating disorders.

DISCUSSION

The diverse range of samples, methodologies, and research questions addressed within this collection of papers demonstrates the breadth of the important scientific work on this topic. As eating disorders and related symptoms in male populations continue to be underrecognized and underserved, we hope that this special issue will encourage further high-quality clinical research in this area.