Application of network analysis to identify interactive systems of eating disorder psychopathology

Anxiety and restrained eating in everyday life: An ecological momentary assessment study

BACKGROUND

Restrained eating has been related to psychological distress like anxiety and eating disorder symptomatology, but little is known about this relationship in daily life in non-clinical populations. We aimed to understand concurrent and temporal associations between momentary anxiety and restrained eating in everyday life within and across persons in a non-clinical sample, and examined whether this association remains after controlling for eating disorder symptomatology.

METHODS

We used a 10-day ecological momentary assessment (EMA) protocol. Participants (n = 123) completed a baseline survey with demographics and eating disorder symptomatology questions, and three EMA surveys per day reporting anxiety and restrained eating intentions. We applied mixed-effects and random intercept cross-lagged models to analyze the data.

RESULTS

Momentary anxiety and restrained eating were concurrently significantly positively associated within and between persons. When participants had more anxiety than was typical for them, they were more likely to intend to restrain eating, and people with overall higher anxiety symptoms tended to report greater restrained eating over the study period. These associations remained significant after adjusting for eating disorder symptomatology. There were no significant temporal cross-lagged effects. Anxiety-restrained eating association did not spill over into the next assessment window.

LIMITATIONS

The time window between prompts may have been too long to capture potential temporal effects, and we did not examine actual behavioral food restrictions.

CONCLUSION

Daily-life anxiety may be related to concurrent restrained eating intentions, above and beyond baseline eating disorder symptomatology. Research is needed exploring daily-life anxiety as a potential intervention target to address restrained eating.

Bridging personality dimensions and eating symptoms: A transdiagnostic network approach

OBJECTIVE

Eating disorders (ED) have recently been studied from a network approach, conceptualising them as a complex system of interconnected variables, while highlighting the role of non-ED symptoms and personality dimensions. This study aims to explore the connections between personality and ED symptoms, identify central nodes, and compare the EDs network to a healthy control network.

METHODS

We employed network analysis to examine the personality-ED symptom connections in 329 individuals with an ED diagnosis and 192 healthy controls. We estimated a regularised partial correlation network and the indices of centrality and bridge centrality to identify the most influential nodes for each group. Network differences between groups were also examined.

RESULTS

Low Self-Directedness and high Harm avoidance emerged as central bridge nodes, displaying the strongest relationship with ED symptoms. Both networks differed in their global connectivity and structure, although no differences were found in bridge centrality and centrality indices.

CONCLUSIONS

These findings shed light on the role of personality dimensions, such as Self-Directedness and Harm Avoidance in the maintenance of ED psychopathology, supporting the transdiagnostic conceptualisation of ED. This study advances a deeper understanding of the complex interplay between personality dimensions and ED symptoms, offering potential directions for clinical interventions.

Suicide in individuals with eating disorders who had sought mental health treatment in England: a national retrospective cohort study

BACKGROUND

Although studies have suggested a high risk of suicide in people with eating disorders, most studies have focused on suicidal ideation and attempts. There is little research on the characteristics of people with eating disorders who died by suicide, nor investigation of trends over time. We aimed to compare the characteristics of patients with eating disorders who died by suicide versus patients with other mental health diagnoses who died by suicide in England and to examine the trends in rates.

METHODS

In this national retrospective cohort study, data on all people (aged ≥10 years) who died by suicide in England, UK, between Jan 1, 1997, and Dec 31, 2021, while under the care (within the previous 12 months) of mental health services were obtained from the National Confidential Inquiry into Suicide and Safety in Mental Health (NCISH), in which clinical information is collected via a questionnaire completed by the mental health professional responsible for the patient's care. Incidence of suicide in, and demographic, clinical, and treatment characteristics of, patients with a diagnosis of eating disorder (as recorded by the treating clinician) who died by suicide were compared with patients with other mental health diagnoses who died by suicide within the same timeframe using univariable logistic regression analysis. People with related lived experience were involved in the study design, implementation, interpretation, and writing of the manuscript.

FINDINGS

Of 119 446 people for whom NCISH were notified of dying by suicide in England, 30 795 were under the recent care of mental health services, of whom 30 246 had known diagnoses and were included in analyses. Of these individuals, 10 373 (34%) were female and 19 873 (66%) were male; 2236 (8%) were of minority ethnicity; 382 (1%) had a diagnosis of eating disorder and 29 864 (99%) had another mental health diagnosis. Compared with patients with other mental health diagnoses who died by suicide, patients with eating disorders were younger (median age 33 years [range 15-90] vs 45 years [10-100]), more often female (343 [90%] female and 39 [10%] male in the eating disorders group; 10 030 [34%] female and 19 834 [66%] male in the other diagnoses group), and less likely to have evidence of conventional risk factors for suicide such as living alone (odds ratio [OR] 0·68, 95% CI 0·55-0·84). 22 (6%) of 382 were from a minority ethnic group. Patients with an eating disorder were characterised by a greater clinical complexity (eg, self-harm [OR 2·31, 95% CI 1·78-3·00], comorbidity [9·79, 6·81-14·1], and longer duration of illness [1·95, 1·56-2·43]), and were more likely to have died following overdoses (2·00, 1·62-2·45) than patients with other diagnoses. Childhood abuse (52 [37%] of 140) and domestic violence (18 [20%] of 91) were common in patients with eating disorders. Similar to patients with other diagnoses, most (244 [75%] of 326) of those with eating disorders who died by suicide were rated as low risk by clinicians at last contact. The number of suicide deaths in patients with eating disorders rose between 1997 and 2021 (incidence rate ratio [IRR] 1·03, 95% CI 1·02-1·05; p<0·0001), but rates fell when accounting for the greater number of patients entering mental health services (IRR 0·97, 0·95-1·00; p=0·033).

INTERPRETATION

This study was focused on people who sought help from mental health services. It did not consider subtypes of eating disorders or include a control group, but it does highlight possible areas for intervention. The comprehensive provision of evidence-based treatment for eating disorders and underlying conditions to address the clinical complexity in these patients might help to reduce suicide. Recognising limitations in clinical risk assessment, addressing early life experiences and current adversities, and appropriate prescribing might also be of benefit. Suicide prevention must remain a priority for eating disorder services and mental health care more widely.

FUNDING

The Healthcare Quality Improvement Partnership.

Latent Profiles of Disordered Eating Among Veterans: Associations With Mental Health Concerns

BACKGROUND

Varying patterns in eating disorder (ED) classification are evident and may impact ED treatment and prevention. However, investigations of patterns of heterogeneity in ED presentations have been limited to civilian samples, despite the high prevalence of EDs in military personnel and veterans. The present study aimed to explore ED-related symptom patterns, including emotional overeating, in women veterans.

METHODS

Participants were 407 women veterans using health care services at a large Veterans Affairs health care system who completed mental health measures via surveys. Latent profile analyses were used to explore distinct ED symptom patterns (binge eating, purging, heavy exercise, positive and negative emotional overeating, dietary restraint, and shape/weight concerns). Subsequent auxiliary models explored associations with mental health concerns (depressive symptoms, posttraumatic stress disorder, anxiety, alcohol misuse, substance misuse), adjusting for age, race and ethnicity, and service branch.

RESULTS

A four-class solution demonstrated the best model fit, characterized as follows: 1) Low ED Concerns, 2) Moderate Dietary Restraint/Negative Emotional Eating, 3) High Binge/Emotional Eating, and 4) High ED Concerns. Although all profiles had moderate or higher levels of negative emotional overeating, the High Binge/Emotional Eating and High ED Concerns profiles were distinct in levels of dietary restraint and had the highest probabilities of positive emotional overeating. The High ED Concerns profile also had the most severe mental health concerns relative to the other profiles.

CONCLUSIONS

The identification of unique ED symptom patterns in women veterans can inform prevention and intervention efforts.

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.

The Effect of the COVID Pandemic on Clinical Psychology Research: A Bibliometric Analysis

The present bibliometric analysis used traditional measures and network science techniques to examine how the COVID-19 pandemic influenced research in Clinical Psychology. Publication records from the Web of Science (WoS) were obtained for journal articles published prior to (2015 and 2018), during (2020), and at the end of the pandemic (2022) for the search terms "men and mental health" and "women and mental health". Network analyses of author-provided keywords showed that COVID-19 co-occurred with fear, anxiety, depression, and stress for both men and women in 2020. In 2022, COVID-19 co-occurred with topics related to world-wide lockdowns (e.g., alcohol use, substance use, intimate partner violence, loneliness, physical activity), and to more fundamental topics in Clinical Psychology (e.g., eating disorders and post-traumatic stress disorder). Although the COVID pandemic was associated with several changes in the research topics that were examined in Clinical Psychology, pre-existing disparities in the amount of mental health research on men compared to women did not appear to increase (in contrast to increases associated with COVID in pre-existing gender disparities observed in other areas of society).

Low Overlap and High Heterogeneity Across Common Measures of Eating Disorder Pathology: A Content Analysis

This study evaluated symptoms assessed in common measures of eating disorder pathology and tested overlap to evaluate the extent to which measures may be interchangeable. Six measures were included: Bulimia Test-Revised, Eating Attitudes Test-26, Eating Disorder Diagnostic Scale, Eating Disorder Examination Questionnaire, Eating Pathology Symptoms Inventory, and Questionnaire for Eating Disorder Diagnoses. Content overlap was quantitatively estimated using the Jaccard Index. Mean overlap was low (.195), likely due to the wide range of symptoms (87) assessed. The mean overlap of each measure with all others was .117 - .267, and the overlap among individual measures was .083 - .382. Implications of low overlap among measures include variable characterization of eating disorder phenotypes and the risk for lower generalizability of findings due to measurement variability.

Promoting Resilience to Improve Disordered Eating (PRIDE): A case series of an eating disorder treatment for sexual minority individuals

OBJECTIVE

Despite the increased risk for eating disorders (EDs) among sexual minority (SM) individuals, no ED treatments exist specifically for this population. SM stress and appearance-based pressures may initiate and/or maintain ED symptoms in SM individuals; thus, incorporating strategies to reduce SM stressors into existing treatments may help address SM individuals' increased ED risk. This mixed-methods study evaluated the feasibility, acceptability, and preliminary efficacy of Promoting Resilience to Improve Disordered Eating (PRIDE)-a novel ED treatment for SM individuals.

METHODS

N = 14 SM individuals with an ED diagnosis received 14 weekly sessions integrating Enhanced Cognitive Behavioral Therapy for EDs (CBT-E) with techniques and principles of SM-affirmative CBT developed to address SM stressors. Participants completed qualitative interviews and assessments of ED symptoms and SM stress reactions at baseline (pretreatment), posttreatment, and 1-month follow-up.

RESULTS

Supporting feasibility, 12 of the 14 (85.7%) enrolled participants completed treatment, and qualitative and quantitative data supported PRIDE's acceptability (quantitative rating = 3.73/4). By 1-month follow-up, 75% of the sample was fully remitted from an ED diagnosis. Preliminary efficacy results suggested large and significant improvements in ED symptoms, clinical impairment, and body dissatisfaction, significant medium-large improvements in internalized stigma and nonsignificant small-medium effects of sexual orientation concealment.

DISCUSSION

Initial results support the feasibility, acceptability, and initial efficacy of PRIDE, an ED treatment developed to address SM stressors. Future research should evaluate PRIDE in a larger sample, compare it to an active control condition, and explore whether reductions in SM stress reactions explain reductions in ED symptoms.

PUBLIC SIGNIFICANCE

This study evaluated a treatment for SM individuals with EDs that integrated empirically supported ED treatment with SM-affirmative treatment in a case series. Results support that this treatment was well-accepted by participants and was associated with improvements in ED symptoms and minority stress outcomes.

Using Complex Networks in the Hearing Sciences

In this Point of View, we review a number of recent discoveries from the emerging, interdisciplinary field of Network Science , which uses graph theoretic techniques to understand complex systems. In the network science approach, nodes represent entities in a system, and connections are placed between nodes that are related to each other to form a web-like network . We discuss several studies that demonstrate how the micro-, meso-, and macro-level structure of a network of phonological word-forms influence spoken word recognition in listeners with normal hearing and in listeners with hearing loss. Given the discoveries made possible by this new approach and the influence of several complex network measures on spoken word recognition performance we argue that speech recognition measures-originally developed in the late 1940s and routinely used in clinical audiometry-should be revised to reflect our current understanding of spoken word recognition. We also discuss other ways in which the tools of network science can be used in Speech and Hearing Sciences and Audiology more broadly.

Life meaning and feelings of ineffectiveness as transdiagnostic factors in eating disorder and comorbid internalizing symptomatology - A combined undirected and causal network approach

The field of eating disorders is facing problems ranging from a suboptimal classification system to low long-term success rates of treatments. There is evidence supporting a transdiagnostic approach to explain the development and maintenance of eating disorders. Meaning in life has been proposed as a promising key transdiagnostic factor that could potentially not only bridge between the different eating disorder subtypes but also explain frequent co-occurrence with symptoms of comorbid psychopathology, such as anxiety and depression. The present study used self-report data from 501 participants to construct networks of eating disorder and comorbid internalizing symptomatology, including factors related to meaning in life, i.e., presence of life meaning, perceived ineffectiveness, and satisfaction with basic psychological needs. In an undirected network model, it was found that ineffectiveness is a central node, also bridging between eating disorder and other psychological symptoms. A directed network model displayed evidence for a causal effect of presence of life meaning both on the core symptomatology of eating disorders and depressive symptoms via ineffectiveness. These results support the notion of meaning in life and feelings of ineffectiveness as transdiagnostic factors within eating disorder symptomatology in the general population.

Evidence-Based Assessments for Transdiagnostic Eating Disorder Symptoms: Guidelines for Current Use and Future Directions

Eating disorders are severe and often chronic mental illnesses that are associated with high impairment and mortality rates. Recent estimates suggest that eating disorder prevalence rates are on the rise, indicating an increased need for accurate assessment and detection. The current review provides an overview of transdiagnostic eating disorder assessments, including interview, self-report, health and primary care screeners, and technology-based and objective assessments. We focused on assessments that are transdiagnostic in nature and exhibit high impact in the field. We provide recommendations for how these assessments should be used in research and clinical settings. We also discuss considerations that are crucial for assessment, including the use of a categorical versus dimensional diagnostic framework, assessment of eating disorders in related fields (i.e., anxiety and depression), and measurement-based care for eating disorders. Finally, we provide suggestions for future research, including the need for more research on short transdiagnostic screeners for use in health care settings, standardized assessments for ecological momentary assessment, development of state-based assessment of eating disorder symptoms, and consideration of assessment across multiple timescales.

Network analysis of eating disorder and depression symptoms among university students in the late stage of COVID-19 pandemic in China

Background

Eating disorders (EDs) and depression are common in university students, especially during the COVID-19 pandemic. The aim of this study was to elucidate characteristics of EDs and depression symptoms networks among Chinese university students in the later stage of the COVID-19 pandemic in China.

Methods

A total of 929 university students completed the SCOFF questionnaire measuring EDs and Patient Health Questionnaire with 9 items (PHQ-9) measuring depression in Guangzhou, China. The network model was applied to identify central symptoms, bridge symptoms, and important connections between SCOFF and PHQ-9 using R studio. The subgroup analyses of both genders in medical and non-medical students were further explored.

Results

In the networks of the whole sample, central symptoms included "Loss of control over eating" (EDs) and "Appetite changes" (depression). The bridge connections were between "Loss of control over eating" (EDs) and "Appetite changes" (depression), between "Deliberate vomiting" (EDs) and "Thoughts of death" (depression). "Appetite changes" (depression) and "Feeling of worthlessness" (depression) were central symptoms in both subgroups of medical and non-medical students. "Fatigue" (depression) was the central symptom in the female and medical students group. The edge between "Loss of control over eating" (EDs) and "Appetite changes" (depression) acted as a bridge in all subgroups.

Conclusion

Social network approaches offered promising ways of further understanding the association between EDs and depression among university students during the pandemic of COVID-19 in China. Investigations targeting central and bridge symptoms would help to develop effective treatments for both EDs and depression for this population.

Cognitive and Interpersonal Factors in Adolescent Inpatients with Anorexia Nervosa: A Network Analysis

The cognitive-interpersonal model of anorexia nervosa (AN) posits that cognitive and interpersonal traits contribute to the development and maintenance of AN. We investigated cognitive and interpersonal factors put forward by the model in a sample of 145 adolescent inpatients with AN using network analysis. Our main outcomes included core eating disorder symptoms, cognitive style, socio-affective factors, and mood symptoms. We estimated a cross-sectional network using graphical LASSO. Core and bridge symptoms were identified using strength centrality. Goldbricker was used to reduce topological overlap. The node with the highest strength centrality was Concern over Mistakes, followed by Eating Preoccupation, Social Fear, and Overvaluation of Weight and Shape. The nodes with the highest bridge strength were Concern over Mistakes, Doubt about Actions, Overvaluation of Weight and Shape, and Depression. Notably, both performance on a cognitive flexibility task and BMI were not connected to any other nodes and were subsequently removed from the final network. We provide partial support for the cognitive-interpersonal model while also supporting certain premises put forward by the transdiagnostic cognitive-behavioral model. The high centrality of Concern over Mistakes and Social Fear supports the theory that both cognitive and interpersonal difficulties contribute to AN, particularly in adolescence.

The Core Symptoms of Adolescents Online and Offline Gambling in South Korea Using Network Analysis

OBJECTIVE

Adolescent gambling is rapidly increasing recently. However, little is known about the core feature of adolescent gambling that should be the treatment target for adolescents. Thus, the objective of this study was to determine the core symptom of adolescent gambling using network analysis with large-scale data targeting community indwelling adolescents.

METHODS

We used dataset of the 2018 national survey on youth gambling problems collected by the Korea Center on Gambling Problems to explore symptom networks of gambling in adolescents. Of 17,520 respondents in the dataset of the 2018 national survey on youth gambling problems collected by the Korea Center on Gambling Problems, 5,619 adolescents with experience of gambling were included in the analysis. We computed an association network, a graphical least absolute shrinkage and selection operator, and a directed acyclic graph to model symptom interactions.

RESULTS

In each network of online, offline, and all gambling, stealing money or other valuable things in order to gamble or pay off gambling debts was the most centrally situated and skipping practice followed by dropping out of activities. Especially strong connections emerged between stealing money or other valuable things in order to gamble or pay off gambling debts and academic performance degradation due to gambling. Feeling bad due to gamble and skipping hanging out with friends who do not gamble emerged as a highly central node that might be distinctive to adolescents with online gambling.

CONCLUSION

These findings demonstrate central features of adolescent gambling. Different associations among specific network nodes suggest the existence of distinctive psychopathological constructs between online and offline gambling.

Understanding comorbidity between eating disorder and premenstrual symptoms using a network analysis approach

Eating disorder symptoms are associated with ovarian hormones and fluctuate predictably across the menstrual cycle. However, the specific symptoms that underlie these associations remain unclear. The current study aims to examine which specific eating disorder and premenstrual symptoms confer risk and maintain comorbidity using network analysis. Eating disorder and premenstrual symptoms were measured using the Eating Pathology Symptoms Inventory and the Daily Record of Severity of Problems, respectively, in a large sample of young adult females. Network analysis was used to explicate the structure of eating and premenstrual symptom networks separately and together. Eating disorder networks replicated previous literature and identified body dissatisfaction as a core feature, but was unique in identifying monitoring calories as an additional core feature. Central symptoms identified in the premenstrual symptom network were symptoms interference with daily life and activities and negative emotions brought on by hormone changes. Bridge symptoms between networks were identified as relating to eating behaviors, interference with daily activities, joint and muscle pain, and negative emotions brought on by hormone changes. This study suggests that the links between eating disorder and premenstrual symptoms extend past their individual effects on eating behavior and are indicative of a shared underlying mechanism.

The structure of eating disorder and somatic symptoms

Individuals with eating disorders (EDs) often present with somatic concerns in treatment, such as bloating, fullness, and feeling tight clothes on skin. However, most research generally focuses on general interoception (e.g., heartbeat) rather than sensations relevant to EDs (e.g., sensations related to the gastrointestinal system or body movement). In the current study (N = 181), we used network analysis to model the structure of ED symptoms and somatic concerns among individuals with anorexia nervosa, bulimia nervosa, and other specified feeding and eating disorder. Results showed that heightened sensitivity to somatic concerns had the highest strength centrality within a symptom network comprising ED and somatic symptoms. Exploratory graph analysis identified four symptom dimensions: cognitive-affective ED symptoms, behavioral ED symptoms, general interoception, and ED-specific proprioception. Findings suggest that heightened sensitivity to somatic concerns may maintain ED symptoms and mutually reinforce other somatic concerns. Implications concerning assessment and treatment of EDs are discussed.

40 years of research on eating disorders in domain-specific journals: Bibliometrics, network analysis, and topic modeling

Previous studies have used a query-based approach to search and gather scientific literature. Instead, the current study focused on domain-specific journals in the field of eating disorders. A total of 8651 documents (since 1981 to 2020), from which 7899 had an abstract, were retrieved from: International Journal of Eating Disorders (n = 4185, 48.38%), Eating and Weight Disorders (n = 1540, 17.80%), European Eating Disorders Review (n = 1461, 16.88%), Eating Disorders (n = 1072, 12.39%), and Journal of Eating Disorders (n = 393, 4.54%). To analyze these data, diverse methodologies were employed: bibliometrics (to identify top cited documents), network analysis (to identify the most representative scholars and collaboration networks), and topic modeling (to retrieve major topics using text mining, natural language processing, and machine learning algorithms). The results showed that the most cited documents were related to instruments used for the screening and evaluation of eating disorders, followed by review articles related to the epidemiology, course and outcome of eating disorders. Network analysis identified well-known scholars in the field, as well as their collaboration networks. Finally, topic modeling identified 10 major topics whereas a time series analysis of these topics identified relevant historical shifts. This study discusses the results in terms of future opportunities in the field of eating disorders.

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.

An initial examination of the associations between appearance-related safety behaviors, socioemotional, and body dysmorphia symptoms during adolescence

INTRODUCTION

Adolescence is characterized by the onset of a relatively specific set of socioemotional disorders (i.e., depression, generalized anxiety disorder, social anxiety disorder, and eating disorders) as well as body dysmorphia symptoms. Appearance-related concerns are a central feature of these disorders. Emerging evidence in adults suggests that appearance-related safety behaviors may play an instrumental role in the onset and maintenance of a number of disorders. To date, no work has examined appearance-related safety behaviors during adolescence. The present study examined the extent to which appearance-related safety behaviors may be associated with socioemotional and body dysmorphia symptoms during adolescence.

METHODS

Adolescents between the ages of 13 and 17 years old (N = 387, M_age  = 14.82 years, 31.3% identified as male, 47.0% identified as female, and 19.1% identified as nonbinary/third gender, 2.6% declined to report gender identity) completed measures assessing negative affect, anxiety-relevant safety behavior use, cognitive reappraisal, expressive suppression, appearance-related safety behaviors, body dysmorphia symptoms, and socioemotional symptoms. Structural Equation Modeling was used to test hypotheses.

RESULTS

The results of this study suggest that appearance-related safety behaviors evidenced associations with latent factors corresponding to affective (i.e., depression, generalized anxiety disorder, social anxiety), eating disorders, and body dysmorphia symptoms after controlling for previously established vulnerability factors.

CONCLUSIONS

These findings demonstrate that appearance-related safety behaviors may evidence transdiagnostic associations with socioemotional symptoms and body dysmorphia symptoms during adolescence.

Eating Disorders and Posttraumatic Stress Disorder: A Network Analysis of the Comorbidity

Eating disorders (EDs) and posttraumatic stress disorder (PTSD) commonly co-occur, but the mechanisms driving this co-occurrence are not well understood. The current study explored the relationships between symptoms of ED and PTSD in a sample of male and female undergraduate students in order to identify pathways that may maintain the comorbidity. Network analysis was conducted in a sample of 344 first-year undergraduates to visualize partial correlations between each symptom in the comorbidity. Core symptoms, bridge symptoms, and direct pathways between ED and PTSD symptoms were identified. The PTSD symptoms negative emotions (strength = 1.13) and negative beliefs (strength = 1.11) were the strongest symptoms in the network. The strongest bridge nodes were the ED symptoms restriction (bridge strength = 3.32) and binge eating (bridge strength = 2.63). The strongest edges between ED and PTSD nodes were between binge eating and concentration (part r = .16), restriction and sleep (part r = .14), and binge eating and positive emotions (part r = .11). Findings suggest that PTSD symptoms related to negative alterations in cognitions and mood may be highly influential in the ED-PTSD network due to their relatedness to all other symptoms. The pathway between binge eating and inability to experience positive emotions suggest that the comorbidity may be partially maintained through an affect regulation function of binge eating.

Examining the associations between PTSD symptoms and aspects of emotion dysregulation through network analysis

Despite the clearly established link between posttraumatic stress disorder (PTSD) and emotion dysregulation, little is known about how individual symptoms of PTSD and aspects of emotion dysregulation interrelate. The network approach to mental health disorders provides a novel framework for conceptualizing the association between PTSD and emotion dysregulation as a system of interacting nodes. In this study, we estimated the structural relations among PTSD symptoms and aspects of emotion dysregulation within a large sample of women who participated in a multi-site study of sexual revictimization (N = 463). We estimated expected influence to reveal differential associations among PTSD symptoms and aspects of emotion dysregulation. Further, we estimated bridge expected influence to identify influential nodes connecting PTSD symptoms and aspects of emotion dysregulation. Results highlighted the key role of concentration difficulties in expected influence and bridge expected influence. Findings highlight several PTSD symptoms and aspects of emotion dysregulation that may be targets for future intervention.

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.

A bibliometric analysis of 10 years of research on symptom networks in psychopathology and mental health

Psychopathology networks consist of aspects (e.g., symptoms) of mental disorders (nodes) and the connections between those aspects (edges). This article aims to analyze the research literature on network analysis in psychopathology and mental health for the last ten years. Statistical descriptive analysis was complemented with two bibliometric techniques: performance analysis and co-word analysis. There is an increase in publications that has passed from 1 article published in 2010 to 172 papers published in 2020. The 398 articles in the sample have 1,910 authors in total, being most of them occasional contributors. The Journal of Affective Disorders is the one with the highest number of publications on network analysis in psychopathology and mental health, followed by the Journal of Abnormal Psychology and Psychological Medicine stand out. The present study shows that this perspective in psychopathology and mental health is a recent field of study, but with solid advances in recent years from a wide variety of researchers, mainly from USA and Europe, who have extensively studied symptom networks in depression, anxiety, and post-traumatic stress disorders. However, gaps are identified in other psychological behaviors such as suicide, populations such as the elderly, and gender studies.

Network Analysis of Persistent Somatic Symptoms in Two Clinical Patient Samples

OBJECTIVE

Previous attempts to group persistent somatic symptoms (PSSs) with factor-analytic approaches have obtained heterogeneous results. An alternative approach that seems to be more suitable is the network theory. Compared with factor analysis, which focuses on the underlying factor of symptoms, network analysis focuses on the dynamic relationships and interactions among different symptoms. The main aim of this study is to apply the network approach to examine the heterogeneous structure of PSS within two clinical samples.

METHODS

The first data set consisted of n = 254 outpatients who were part of a multicenter study. The second data set included n = 574 inpatients, both with somatoform disorders. Somatic symptom severity was assessed with the Screening of Somatoform Disorder (SOMS-7T).

RESULTS

Results indicate that there are five main symptom groups that were found in both samples: neurological, gastrointestinal, urogenital, cardiovascular, and musculoskeletal symptoms. Although patterns of symptoms with high connection to each other look quite similar in both networks, the order of the most central symptoms (e.g., symptoms with a high connection to other symptoms in the network) differs.

CONCLUSIONS

This work is the first to estimate the structure of PSS using network analysis. A next step could be first to replicate our findings before translating them into clinical practice. Second, results may be useful for generating hypotheses to be tested in future studies, and the results open new opportunities for a better understanding for etiology, prevention, and intervention research.

Evaluation of the cognitive behavioural theory of eating disorders: A network analysis investigation

OBJECTIVE

One of the prevailing theories of eating disorders (ED) is the transdiagnostic cognitive behavioural theory of eating disorders, which suggests that certain ED symptoms, such as over-valuation of eating, shape, and weight, may be more central than others. In the present study, network analyses were used to evaluate these assumptions in a patient sample.

METHODS

Participants were 336 individuals receiving treatment at an expert center for ED in the Netherlands. Eating disorder symptoms were used to create transdiagnostic and diagnosis-specific networks and assess symptom centrality and density of the networks.

RESULTS

Networks for patients with bulimia nervosa and binge eating disorder confirmed that over-valuation of shape, weight, and eating is the most central symptom in the network. A transdiagnostic network of ED symptoms and separate networks for patients with anorexia nervosa and bulimia nervosa showed that strict dieting was an additional central ED symptom. An exploratory analysis revealed that, although eating disorder symptoms decreased, there were no differences in density of the eating disorder networks before and after treatment with cognitive behavioural therapy.

DISCUSSION

In conclusion, the current study confirmed that over-valuation of shape, weight, and eating is a central symptom across eating disorders, in agreement with the transdiagnostic cognitive behavioural model of eating disorders. Specifically targeting this symptom in treatment could lead to other symptoms improving as a result.

Using individual networks to identify treatment targets for eating disorder treatment: a proof-of-concept study and initial data

BACKGROUND

Eating disorders (EDs) are severe mental illnesses, with high morbidity, mortality, and societal burden. EDs are extremely heterogenous, and only 50% of patients currently respond to first-line treatments. Personalized and effective treatments for EDs are drastically needed.

METHODS

The current study (N = 34 participants with an ED diagnosis collected throughout the United States) aimed to investigate best methods informing how to select personalized treatment targets utilizing idiographic network analysis, which could then be used for evidence based personalized treatment development. We present initial data collected via experience sampling (i.e., ecological momentary assessment) over the course of 15 days, 5 times a day (75 total measurement points) that were used to select treatment targets for a personalized treatment for EDs.

RESULTS

Overall, we found that treatment targets were highly variable, with less than 50% of individuals endorsing central symptoms related to weight and shape, consistent with current treatment response rates for treatments designed to target those symptoms. We also found that different aspects of selection methods (e.g., number of items, type of centrality measure) impacted treatment target selection.

CONCLUSIONS

We discuss implications of these data, how to use idiographic network analysis to personalize treatment, and identify areas that need future research.

TRIAL REGISTRATION

Clinicaltrials.gov, NCT04183894. Registered 3 December 2019-Retrospectively registered, https://clinicaltrials.gov/ct2/show/NCT04183894 . NCT04183894 (ClinicalTrials.gov identifier).

Identifying Central Symptoms and Bridge Pathways Between Autism Spectrum Disorder Traits and Suicidality Within an Active Duty Sample

OBJECTIVE

This study employed network analysis to characterize central autism spectrum disorder (ASD) traits and suicide symptoms within an active duty military sample as well as to identify symptoms that may bridge between ASD traits and suicidality (i.e., suicidal ideation and behaviors).

METHOD

Participants were active duty U.S. military service members (N = 287). Autism spectrum traits, suicidality, depression, and suicide related constructs were assessed online via self-report.

RESULTS

Within the combined ASD trait-suicidality network, suicide rumination, suicide behaviors, and depression had the highest strength centrality. The most central bridge symptoms between ASD and suicidality were thwarted belongingness, social skills deficits, and depressive symptoms.

CONCLUSIONS

Social skills deficits and thwarted belongingness may function as a meaningful bridge between ASD symptoms and suicidality within active duty members. Individuals with ASD symptoms who additionally present with high levels of thwarted belongingness and/or considerable social skills deficits may be at increased risk for suicidality.HIGHLIGHTSWithin an ASD-suicidality network, social skills deficits, low belonging, and depression had the greatest bridge strength.Although low belonging emerged as a bridge symptom, perceived burdensomeness did not.Suicide rumination, suicide behaviors, and depression were the most central symptom in an ASD-suicidality network.Symptoms related to social skills deficits may connect ASD traits and suicidality.

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.

Predicting probable eating disorder case-status in men using the Clinical Impairment Assessment: Evidence for a gender-specific threshold

The Clinical Impairment Assessment (CIA) is a widely used self-report measure of the psychosocial impairment associated with eating-disorder symptoms. Past studies recommended a global CIA score of 16 to identify clinically significant impairment associated with a probable eating disorder (ED). However, to date, research on the properties of the CIA has been conducted in majority-women samples. Preliminary research on gender differences in CIA scores suggested men with EDs report less impairment on the CIA relative to women with EDs. Thus, the purpose of this study was to test if a different impairment threshold is needed to identify cases of men with EDs. We hypothesized that a lower CIA threshold, relative to that identified in majority-women samples, would most accurately identify men with EDs. Participants (N = 162) were men from our university-based and general community-based ED participant registry who completed the CIA and Eating Disorder Diagnostic Scale. Both precision-recall and receiver operating characteristic curves assessed what CIA global score threshold most accurately identified men with EDs. Both analytic approaches indicated that a CIA global score of 13 best predicted ED case-status in men. Consistent with past research, men with a clinically significant ED appear to report lower impairment on the CIA. Results have implications for screening and assessing for substantial ED-related impairment in men. Additionally, past research using the CIA to identify men with EDs may have under-identified men with clinically significant symptoms.

Body checking behaviors and eating disorder pathology among nonbinary individuals with androgynous appearance ideals

BACKGROUND

Internalized sociocultural standards of attractiveness are a risk factor repeatedly linked to eating disorders; however, many nonbinary individuals do not conform to these standards.

PURPOSE

This study investigated the body checking behaviors and eating disorder pathology among nonbinary individuals with androgynous appearance ideals.

METHODS

Participants (n = 194) completed an online survey assessing body checking behaviors, body appreciation, gender congruence, and eating disorder pathology RESULTS: Body checking predicted eating disorder pathology, and body image significantly improved the model. Gender congruence did not additional variance in predicting eating pathology CONCLUSION: Though gender congruence was not a significant predictor of eating pathology, content analysis revealed unique body behaviors specific to nonbinary individuals' gender identity and gender expression. Clinical implications include expanding perceptions of eating disorder presentation when working with nonbinary individuals with androgynous appearance ideals.

LEVEL OF EVIDENCE

Level V, cross-sectional descriptive study.

Network investigation of eating disorder symptoms and positive and negative affect in a clinical eating disorder sample

OBJECTIVE

Growing literature suggests that emotions influence the maintenance of eating disorder (ED) symptoms. However, most research has studied the relationship between ED symptoms and affect broadly (i.e., negative affect [NA], positive affect [PA]), rather than examining models comprised of multiple specific affective states (e.g., upset, proud).

METHOD

The current study (N = 196 individuals with EDs) used network analysis to examine the most interconnected (i.e., central) NA and PA states in EDs and test the complex associations between specific NA, PA, and ED symptoms. We estimated two networks: one with affective states only and another with affective states and ED symptoms.

RESULTS

Feeling distressed, afraid, attentive, and determined were the most central symptoms in the affect-only network. ED symptoms related to overvaluation of weight and shape, including affect-based ED symptoms (i.e., guilt about eating), were central in the network of affect and ED symptoms. Guilt about eating and shame were central bridge symptoms across affect and ED symptom clusters, meaning that they were each strongly connected across clusters, and may represent important pathways among affect and ED symptoms.

DISCUSSION

Limitations include the cross-sectional and between-person nature of these analyses, from which we cannot derive causal or within-persons processes. Clinical interventions that target central and bridge symptoms (e.g., fear, shame) may disrupt the reinforcing cycle of NA in EDs that may contribute to ED behaviors. Future research should examine relationships among affective states and ED symptoms in longitudinal and intraindividual network models to develop more effective treatments for EDs.

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.

A network analysis of eating disorder symptoms and co-occurring alcohol misuse among heterosexual and sexual minority college women

Eating disorders and alcohol misuse are common problems among college women. Individually, both have high prevalence rates and are associated with a significant economic burden. Yet eating disorders and alcohol misuse also frequently present simultaneously, which may increase symptom severity and related impairment. These associations are especially important to test in sexual minority populations, as symptoms may present differently, and the prevalence and personal cost of these disorders may be even higher for this group. The present study (N = 1072 undergraduate college women) used network analysis to identify pathways, central symptoms, and bridge symptoms across alcohol misuse and eating disorder symptoms. A network comparison test was used to determine if the network structure differed between heterosexual women (n = 923) and sexual minority women (n = 149). For the overall network, cognitive restraint, excessive exercise, and frequency of binge drinking, were the most central symptoms. Bridge symptoms included drinking in the morning, purging, alcohol-related guilt, and muscle building. Heterosexual and sexual minority women did not differ significantly in network structure or global strength. Regardless of sexual orientation, prevention efforts for eating disorders and alcohol misuse among college women should target central and bridge symptoms.

Cognitive Network Science for Understanding Online Social Cognitions: A Brief Review

Social media are digitalizing massive amounts of users' cognitions in terms of timelines and emotional content. Such Big Data opens unprecedented opportunities for investigating cognitive phenomena like perception, personality, and information diffusion but requires suitable interpretable frameworks. Since social media data come from users' minds, worthy candidates for this challenge are cognitive networks, models of cognition giving structure to mental conceptual associations. This work outlines how cognitive network science can open new, quantitative ways for understanding cognition through online media like: (i) reconstructing how users semantically and emotionally frame events with contextual knowledge unavailable to machine learning, (ii) investigating conceptual salience/prominence through knowledge structure in social discourse; (iii) studying users' personality traits like openness-to-experience, curiosity, and creativity through language in posts; (iv) bridging cognitive/emotional content and social dynamics via multilayer networks comparing the mindsets of influencers and followers. These advancements combine cognitive-, network- and computer science to understand cognitive mechanisms in both digital and real-world settings but come with limitations concerning representativeness, individual variability, and data integration. Such aspects are discussed along with the ethical implications of manipulating sociocognitive data. In the future, reading cognitions through networks and social media can expose cognitive biases amplified by online platforms and relevantly inform policy-making, education, and markets about complex cognitive trends.

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 systematic review of network analysis studies in eating disorders: Is time to broaden the core psychopathology to non specific symptoms

Objective

Network theory considers mental disorders as the product of symptom interaction. A growing number of studies employing this methodology has been conducted in eating disorders (EDs). We aimed to review those studies to provide evidence and limitations for a novel conceptualisation of EDs.

Methods

According to PRISMA guidelines and PICOS criteria, studies eligible for inclusion were those employing network analysis in people with a clinically defined diagnosis of ED. Twenty‐five studies were included and were analysed in relation to diagnosis, comorbidity, and treatment outcome.

Results

Despite the central role of overvaluation of body shape and weight and cognitive restraint across ED diagnoses, ineffectiveness, interoceptive awareness and affective problems appear central symptoms. Ineffectiveness and interoceptive awareness emerge as bridge symptoms promoting comorbidity in people with anorexia nervosa and in mixed ED samples. Although few studies assessed treatment outcome, there is evidence supporting the predictive role of central network nodes.

Conclusions

Ineffectiveness, interoceptive ability and affective problems may be included in the core ED psychopathology, in addition to ED‐specific symptoms. Network analysis is a promising method to reconceptualize comorbidity. Future studies are recommended to include general psychopathology in ED networks, to assess connections with the external field and clinical meaning of network connectivity.

Overvaluation of body shape and weight and cognitive restraint appear as central nodes across eating disorder diagnoses and ages.

In addition to specific symptoms, ineffectiveness, low interoceptive ability and affective problems also emerge as central nodes in eating disorders.

There is some evidence to point to ineffectiveness and low interoceptive ability as bridge nodes promoting psychiatric comorbidity.

Only few studies assessed treatment outcome through the network analysis approach

Bridging executive function and disinhibited eating among youth: A network analysis

OBJECTIVE

Poorer executive function (EF) has been linked to disinhibited eating in youth, suggesting poor EF predisposes toward obesity, yet the specific nature and extent of interconnections between facets of these domains is unclear. Network analysis provides a promising framework for elucidating the relationship between poor EF and disinhibited eating, and offers insights into potential maintenance processes.

METHOD

Among youth ages 8-17 years, a regularized partial correlation network of EF and disinhibited eating facets was estimated to examine expected influence centrality and bridge expected influence. Computerized neurocognitive tasks assessed EF variables, including decision-making, general and food-related inhibitory control, delayed gratification, cognitive flexibility, and working memory. Disinhibited eating variables included total carbohydrate-fat intake at a laboratory test meal and self-reported eating in the absence of hunger, emotional eating, and loss-of-control eating severity.

RESULTS

In the current sample (N = 248; Mage = 12.5; 54.8% female; 43.5% non-Hispanic White; 25.8% non-Hispanic Black; BMI %ile = 65.8 ± 27.8), emotional eating in response to depressive symptoms emerged as a central symptom in the network. Carbohydrate-fat intake had the highest bridge expected influence and was most strongly connected to general inhibitory control (part r = .14).

DISCUSSION

The link between general inhibitory control and objective palatable food intake may be particularly salient in maintaining maladaptive eating behavior. Interventions targeting behavioral disinhibition may disrupt associations among a network of disinhibited eating facets in youth and should be targets for longitudinal research.

The nature of night eating syndrome: Using network analysis to understand unique symptomological relationships

OBJECTIVES

Despite the initial characterization of night eating syndrome (NES) in 1955, the definition and operationalization of its symptoms has varied considerably. To standardize the definition of NES and its symptoms, Allison et al. developed research diagnostic criteria. Even so, conceptualization and intervention of NES remains guided by medical models, which assume that pathology is driven by a distinct, underlying causal mechanism. Conversely, recent work on other eating disorders (EDs) has used network analysis to reconceptualize ED psychopathology and treatment by identifying (a) unique relationships between key symptoms, and (b) the symptoms most central to specific EDs. The present study examined NES symptoms through network analysis to identify the most central symptoms within the NES network.

METHOD

Regularized partial correlation networks were estimated using 144 individuals in a community sample diagnosed with NES. Participants completed semi-structured interviews, self-report measures, and food/sleep diaries to measure NES symptoms, nonspecific health domains (e.g., sleep disturbance, overall mood, stress, and circadian rhythm functioning), and transdiagnostic ED symptoms.

RESULTS

Depressed mood, poor sleep quality, and a strong urge to eat upon awakening at night were highly central to the psychopathology network for NES and were significantly more central than most other NES symptoms and nonspecific health domains.

DISCUSSION

This study provides insight on the unique symptomological relationships of NES and sets the stage for future work that can identify causal linkages among NES symptoms. These symptoms represent key elements of the core psychopathology of NES and should represent primary targets for intervention.

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.

Mapping features of pathological exercise using hierarchical-dimensional modeling

OBJECTIVE

Pathological exercise is common among those with eating disorders and has typically been characterized as excessive, compulsive, or compensatory in nature. Little is known about how pathological exercise is associated with other eating disorder behaviors or personality traits, or whether these associations differ between men and women.

METHOD

We used hierarchical dimensional modeling in three samples, including college women (N = 205), women with eating psychopathology (N = 268), and college men (N = 235), to examine latent associations between pathological exercise and eating disorder psychopathology, namely compulsivity, emotion regulation, and body dissatisfaction.

RESULTS

Using Goldberg's (2006) "bass-ackwards" method, we identified separate 10-factor solutions (women) or an 11-factor solution (men). A distinct muscle building factor arose in the three-factor solution for men, and it also notably arose in the six- and eight-factor solutions for community and college women, respectively, highlighting an important understudied motivation factor in both healthy and pathological exercise. Each solution accounted for 64.8% (college women), 51.9% (women with eating psychopathology), and 43.9% (college men) of the variance in excessive exercise, respectively.

DISCUSSION

Findings indicate that pathological exercise is associated with different psychological traits (e.g., poor emotion regulation, compulsivity) across populations, and such differences may necessitate unique treatment approaches tailored accordingly.

Eating disorder fear networks: Identification of central eating disorder fears

OBJECTIVE

Eating-related fear and anxiety are hallmark symptoms of eating disorders (EDs). However, it is still unclear which fears are most important (e.g., food, weight gain), which has practical implications, given treatments for eating-related fear necessitate modifications based on the specific fear driving ED pathology. For example, exposure treatments should be optimized based on specific fears that maintain pathology. The current study (N = 1,622 combined clinical ED and undergraduate sample) begins to answer questions on the precise nature of ED fears and how they operate with other ED symptoms.

METHOD

We used network analysis to create two models of ED fears and symptoms. The first model consisted of ED fears only (e.g., fears of food, fears of weight gain) to identify which fear is most central. The second model consisted of ED fears and ED symptoms to detect how ED fears operate with ED symptoms.

RESULTS

We found fear of disliking how one's body feels due to weight gain, disliking eating in social situations, feeling tense around food, fear of judgment due to weight gain, and food anxiety were the most central ED fears. We also identified several bridge symptoms between ED fears and symptoms. Finally, we found that the most central ED fears predicted excessive exercise at two-month follow-up.

DISCUSSION

These data support the idea that consequences (i.e., judgment) associated with fears of weight gain and interoceptive fears are the most central ED fears. These data have implications for the future development of precision interventions targeted to address ED-related fear.

Group and longitudinal intra-individual networks of eating disorder symptoms in adolescents and young adults at-risk for an eating disorder

Several studies have identified risk factors that predict future onset of eating disorders (ED) in adolescence, however, it is currently unknown how specific ED symptom dynamics operate both across time and within individuals. Advances in network methodologies allow for the study of how dynamic symptoms interrelate and predict each other within-persons and across time. In the current study, we used longitudinal group-level (N = 1272) (addressing symptom interrelations across people and across time; between-subjects, contemporaneous, and temporal networks) and intra-individual (symptom interrelations within each person and across time; contemporaneous and temporal networks) network analyses (subset n = 50) in prospective 48-month interview data in at-risk adolescents and young adults. We computed between-subject networks (how symptoms are associated on average, for group sample only), contemporaneous networks (how symptoms are associated at one time point, accounting for previous time points), and temporal networks (examining how symptoms predict each other across time). We replicated prior network results which suggest that overvaluation of weight and shape are central in at-risk adolescents and young adults. We found that individual networks (n = 1 networks) were highly variable across individuals. Overall, our results show how both group-level and longitudinal intra-individual network analysis can inform our understanding of how EDs develop in adolescence and point to the importance of conceptualizing development on an individual level of analysis.

Eating-disorder psychopathology and driven exercise change models: A latent change score analysis

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.

Transdiagnostic vulnerability factors in eating disorders: A network analysis

OBJECTIVE

Eating disorder (ED) symptoms and transdiagnostic vulnerability characteristics play a crucial role in the aetiology and maintenance of EDs. Over the last decade, researchers have started to model complex interrelations between symptoms using network models, but the literature is limited in that it has focused solely on symptoms and investigated-specific disorders while ignoring transdiagnostic aspects of mental health.

METHOD

This study tackles these challenges by investigating network relations among core ED symptoms, comorbid clinical symptoms (depression and anxiety) and empirically supported vulnerability and protective mechanisms (personality traits, maladaptive cognitive schemata, perfectionism and resilience) in a sample of 2302 treatment-seeking ED patients. We estimated a regularized partial correlation network to obtain conditional dependence relations among all variables. We estimated node centrality (interconnectivity) and node predictability (the overall magnitude of symptom inter-relationships).

RESULTS

The findings indicate a central role of overvigilance, excessive focus on inhibiting emotions and feelings, interoceptive awareness and perfectionism.

CONCLUSIONS

These results suggest that excessive control of bodily aspects by dietary restraint (possibly through inhibition) and interoceptive awareness may be important constructs that warrant future research in understanding vulnerability in EDs. We provide all code and data via the Open Science Framework.

Drive for thinness provides an alternative, more meaningful, severity indicator than the DSM-5 severity indices for eating disorders

OBJECTIVE

To assess an alternative trans-diagnostic indicator for severity based on drive for thinness (DT) for anorexia nervosa (AN), bulimia nervosa (BN), binge-eating disorder (BED), and other specified feeding or eating disorder (OSFED), and to compare this new approach to the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) severity categories for EDs.

METHOD

A total of 2,811 ED [428 AN-restrictive (AN-R), 313 AN-binge purging (AN-BP), 1,340 BN, 329 BED, 154 OSFED/atypical AN (AT), and 223 OSFED/purging disorder (PD)] patients were classified using: (a) The DSM-5 severity categories and (b) a DT categorisation. These severity classifications were then compared based on ED symptoms, general psychopathology, personality, and impulsive behaviours.

RESULTS

For the DSM-5 categories, most ED patients fell into the 'mild' to 'moderate' categories. Using the DT categories, AN patients were mainly represented in the 'low' DT category, and BN, OSFED/AT, and PD in the 'high' DT category. The clinically significant findings were stronger for the DT than the DSM-5 severity approach (medium-to-large effect sizes). AN-BP and AN-R provided the most pronounced effects.

CONCLUSION

Our findings question the clinical value of the DSM-5 severity categorisation, and provide initial support for an alternative DT severity approach for AN. HIGHLIGHTS : This study assessed an alternative trans-diagnostic drive for thinness (DT) severity. Category for all eating disorder (ED) sub-types, and then compared this to the Diagnostic and Statistical Manual of Mental Disorders-5 (DSM-5) severity indices for EDs. ED symptoms, general psychopathology, personality, and impulsive behaviours were assessed using both classifications in a total of 2,811 female patients diagnosed with EDs. Clinically significant findings were stronger for the DT than the DSM-5 severity category (medium-to-large effect sizes); there was differentiation of the anorexia nervosa (AN) patients into mainly 'low' DT, and bulimia nervosa (BN) spectrum patients into mainly 'high' DT, vs. most patients were clustered in the 'mild-to-moderate' DSM-5 categories. Our findings provide initial support for an alternative trans-diagnostic DT severity category that may be more clinically meaningful than the DSM-5 severity indices for EDs.

Body mistrust bridges interoceptive awareness and eating disorder symptoms

Interoceptive awareness (IA), or the awareness of internal body states, is known to be impaired in individuals with eating disorders (EDs); however, little is understood about how IA and ED symptoms are connected. Network analysis is a statistical approach useful for examining how symptoms interrelate and how comorbidities may be maintained. The present study used network analysis to (1) test central symptoms within an IA-ED network, (2) identify symptoms that may bridge the association between IA and ED symptoms, and (3) explore whether central and bridge symptoms predict ED remission at discharge from intensive treatment. A regularized partial correlation network was estimated in a sample of 428 adolescent (n = 187) and adult (n = 241) ED patients in a partial hospital program. IA was assessed using items from the Multidimensional Assessment of Interoceptive Awareness, and ED symptoms were assessed using items from the Eating Disorder Examination-Questionnaire. Central symptoms within the network were strong desire to lose weight, feeling guilty, and listening for information from the body about emotional state. The most central symptom bridging IA and ED symptoms was (not) feeling safe in one's body. Of the central symptoms, greater desire to lose weight predicted lower likelihood of remission at treatment discharge. Bridge symptoms did not significantly predict remission. Body mistrust may be a mechanism by which associations between IA and EDs are maintained. Findings suggest targeting central and bridge symptoms may be helpful to improve IA and ED symptoms. (PsycInfo Database Record (c) 2020 APA, all rights reserved).