Not niche: eating disorders as an example in the dangers of overspecialisation.

Labelling specific psychiatric concerns as 'niche' topics relegated to specialty journals obstructs high-quality research and clinical care for these issues. Despite their severity, eating disorders are under-represented in high-impact journals, underfunded, and under-addressed in psychiatric training. We provide recommendations to stimulate broad knowledge dissemination for under-acknowledged, yet severe, psychiatric disorders.

Comparisons between atypical anorexia nervosa and anorexia nervosa: Psychological and comorbidity patterns.

OBJECTIVE: Literature comparing "atypical" anorexia nervosa (atypical AN) and anorexia nervosa (AN) suggests these diagnoses share significant similarities in eating disorder (ED) pathology and psychiatric comorbidities. This study evaluated potential differences in ED pathology, psychiatric comorbidity, associated mechanisms (i.e., ED fears and perfectionism), and demographic factors (i.e., ethnicity and age) between individuals with atypical AN and AN. METHOD: Data from seven protocols were combined for a total 464 individuals diagnosed with atypical AN (n = 215) or AN (n = 249). Between-group differences in ED severity and behaviors, psychiatric comorbidities, ED fears, perfectionism, and demographic factors were assessed using t-tests, Wilcoxon rank-sum tests, and Fisher's exact test. RESULTS: Participants with atypical AN reported higher levels of overvaluation of weight and shape than those with AN. Participants with AN scored higher on food-related fears (anxiety about eating, food avoidance behaviors, and feared concerns) and fears of social eating, as well as obsessive-compulsive symptoms. Participants with AN were more likely to identify as Asian or Pacific Islander. No other statistically significant differences were found between groups for overall ED severity, ED behaviors, psychiatric comorbidities, general ED fears, perfectionism, or demographic factors. DISCUSSION: Overall, results support previous literature indicating limited differences between individuals with atypical AN and AN, though individuals with atypical AN reported more overvaluation of weight and shape and those with AN reported higher food and social eating fears and obsessive-compulsive symptoms. Relatively few overall differences between atypical AN and AN highlight the importance of exploring dimensional conceptualizations of AN as an alternative to the current categorical conceptualization. PUBLIC SIGNIFICANCE: This study assessed differences among individuals with atypical anorexia nervosa and anorexia nervosa in eating disorder severity and behaviors, comorbid psychiatric diagnoses, associated mechanisms, and demographic factors. Few differences emerged, though participants with atypical anorexia nervosa reported more overvaluation of weight and shape, while those with anorexia nervosa reported more food and social eating fears and higher obsessive-compulsive symptoms. Results support exploration of these diagnoses as a spectrum disorder.

Differentiation between atypical anorexia nervosa and anorexia nervosa using machine learning.

OBJECTIVE: Body mass index (BMI) is the primary criterion differentiating anorexia nervosa (AN) and atypical anorexia nervosa despite prior literature indicating few differences between disorders. Machine learning (ML) classification provides us an efficient means of accurately distinguishing between two meaningful classes given any number of features. The aim of the present study was to determine if ML algorithms can accurately distinguish AN and atypical AN given an ensemble of features excluding BMI, and if not, if the inclusion of BMI enables ML to accurately classify between the two. METHODS: Using an aggregate sample from seven studies consisting of individuals with AN and atypical AN who completed baseline questionnaires (N = 448), we used logistic regression, decision tree, and random forest ML classification models each trained on two datasets, one containing demographic, eating disorder, and comorbid features without BMI, and one retaining all features and BMI. RESULTS: Model performance for all algorithms trained with BMI as a feature was deemed acceptable (mean accuracy = 74.98%, mean area under the receiving operating characteristics curve [AUC] = 74.75%), whereas model performance diminished without BMI (mean accuracy = 59.37%, mean AUC = 59.98%). DISCUSSION: Model performance was acceptable, but not strong, if BMI was included as a feature; no other features meaningfully improved classification. When BMI was excluded, ML algorithms performed poorly at classifying cases of AN and atypical AN when considering other demographic and clinical characteristics. Results suggest a reconceptualization of atypical AN should be considered. PUBLIC SIGNIFICANCE: There is a growing debate about the differences between anorexia nervosa and atypical anorexia nervosa as their diagnostic differentiation relies on BMI despite being similar otherwise. We aimed to see if machine learning could distinguish between the two disorders and found accurate classification only if BMI was used as a feature. This finding calls into question the need to differentiate between the two disorders.

Dynamic relationships among feeling fat, fear of weight gain, and eating disorder symptoms in an eating disorder sample.

Feeling fat and fear of weight gain are key cognitive-affective symptoms that are theorized to maintain eating disorders (EDs). Little research has examined the dynamic relationships among feeling fat, fear of weight gain, emotions, cognitions, and ED behaviors. Furthermore, it is unknown if these relations vary by ED diagnosis (e.g., anorexia nervosa (AN) vs other ED). The current study (N = 94 ED participants; AN n = 64) utilized ecological momentary assessments collected four times a day for 18 days (72 timepoints) asking about feeling fat, fear of weight gain, emotions (i.e., anxiety, guilt), cognitions (i.e., feelings of having overeaten, thoughts about dieting), and ED behaviors (i.e., vomiting, diuretic/laxative use, excessive exercise, body checking, self-weighing, binge-eating, restriction) at stressful timepoints (contemporaneous [mealtime], and prospective/temporal [next-meal]). Multilevel modeling was used to test for between and within-person associations. Higher feeling fat and fear of weight gain independently predicted higher next-meal emotions (i.e., anxiety, guilt), cognitions (i.e., feelings of having overeaten, thoughts about dieting, fear of weight gain, feeling fat), and ED behaviors (i.e., body checking, self-weighing [feeling fat]). There were relationships in the opposite direction, such that some emotions, cognitions, and ED behaviors prospectively predicted feeling fat and fear of weight gain, suggesting existence of a reciprocal cycle. Some differences were found via diagnosis. Findings pinpoint specific dynamic and cyclical relationships among feeling fat, fear of weight gain, and specific ED symptoms, and suggest the need for more research on how feeling fat, fear of weight gain and cognitive-affective-behavioral aspects of ED operate. Future research can test if treatment interventions targeted at feeling fat and fear of weight gain may disrupt these cycles.

Using clinician and patient input to assess utility, accuracy, efficiency, and therapeutic implementation of a new data-driven digital therapeutic for personalized clinical eating disorder treatment: Awaken digital guide.

OBJECTIVE: Eating disorders (EDs) take a life every 52 minutes and treatments are ineffective for ∼50% of individuals. Though EDs are heterogeneous illnesses, current evidence-based treatments take a "one-size-fits-all" approach. Network-Informed Personalized Treatment is a new promising treatment for EDs, but clinician-patient-friendly software tools are needed to integrate this guidance system into routine treatment. Adoption is key for impact, necessitating the inclusion of clinicians in the software development. The current pilot assessed a new data-driven clinician-guidance therapeutic. METHOD: A two-part pilot was analyzed for quantitative (0-not at all to 10-extremely) and qualitative input on user perception through quantitative and open-ended prompted questions evaluating using personalizing ED treatment with the Awaken Digital Guide therapeutic. RESULTS: Results demonstrated that clinicians in a focus group (N = 9) and clinician/patient dyads within implementation (N = 10) endorsed improved efficiency, effectiveness, self-awareness, and accuracy using Awaken Digital Guide compared to current treatment as suggested by quantitative and qualitative results. Both clinicians and patients rated the tool positively (6.8-9.6/5.8-8.6, respectively) with an average rating of good and excellent. CONCLUSION: Findings suggest that ED-specialized clinicians desire data-driven guidance on personalizing ED treatment. Users perceive Awaken Digital Guide therapeutic with potential to increase collaboration, motivation, efficiency, and effectiveness of ED personalized treatment.

A pilot randomized controlled trial of transdiagnostic network-informed personalized treatment for eating disorders versus enhanced cognitive behavioral therapy.

OBJECTIVE: Eating disorders (EDs) are serious mental illnesses with high mortality and relapse rates and carry significant societal and personal costs. Nevertheless, there are few evidence-based treatments available. One aspect that makes treatment difficult is the high heterogeneity in symptom presentation. This heterogeneity makes it challenging for clinicians to identify pertinent treatment targets. Personalized treatment based on idiographic models may be well-suited to address this heterogeneity, and, in turn, presumably improve treatment outcomes. METHODS: In the current randomized controlled trial, participants will be randomly assigned to either 20 sessions of enhanced cognitive behavioral therapy (CBT-E) or transdiagnostic network-informed personalized treatment for EDs (T-NIPT-ED). Assessment of ED symptoms, clinical impairment, and quality of life will occur at pre-, mid-, posttreatment, and 1-month follow-up. RESULTS: We will examine the acceptability and feasibility of T-NIPT-ED compared to CBT-E. We also will test the initial clinical efficacy of T-NIPT-ED versus CBT-E on clinical outcomes (i.e., ED symptoms and quality of life). Finally, we will test if the network-identified precision targets are the mechanisms of change. DISCUSSION: Ultimately, this research may inform the development and dissemination of evidence-based personalized treatments for EDs and serve as an exemplar for personalized treatment development across the broader field of psychiatry. PUBLIC SIGNIFICANCE: Current evidence-based treatments for eating disorders result in low rates of recovery, especially for adults with AN. Our study aims to test the feasibility, acceptability, and clinical efficacy of a data-driven, individualized approach to ED treatment, network-informed personalized treatment, compared to the current evidence-based treatment for EDs, Enhanced CBT. Findings have the potential to improve treatment outcomes for EDs by identifying and targeting core symptoms maintaining EDs.

Eating Disorder Screening and Treatment in a Medically Underserved Southern State: Data Collected by a Legislative Eating Disorder Council and Implications for Statewide Assessment.

Healthcare providers play a key role in early identification of eating disorders (EDs), especially in underserved states where ED treatment resources are lacking. Currently, there is little known about ED screening and treatment practices in underserved states. The current study assessed current ED screening and treatment practices among healthcare providers in an underserved state using data collected by a government-formed state ED council. Healthcare providers (N = 242; n = 209 behavioral health providers; n = 33 medical providers) practicing in Kentucky completed a brief, anonymous survey on ED screening and treatment practices, comfort with screening for EDs, and interest in continued education. Over half of healthcare providers indicated screening for EDs, with the majority using a clinical interview. After identification of ED symptoms, providers reported a combination of treating in-house, referring out, or seeking consultation. In bivariate analyses, medical providers were significantly more likely than behavioral health providers to use a screening tool specifically designed for EDs. The majority of medical providers indicated that they received education about EDs and feel knowledgeable about ED screening tools, though most reported infrequent use of these screening tools in their practice. Nearly all behavioral health and medical providers expressed interest in continuing education on ED screening and treatment. These findings indicate a need for, and interest in, education on evidence-based ED screening and treatment resources in underserved states and demonstrate the utility of a state ED council to collect these data to inform future education and treatment strategies.

Core eating disorder fears: Prevalence and differences in eating disorder fears across eating disorder diagnoses.

OBJECTIVE: Fear and anxiety are key maintaining factors for eating disorder (ED) pathology. Maladaptive fears lead to ED behaviors and avoidance, which provide temporary relief, but ultimately reinforce the fear and contribute to a cycle that maintains the ED. To date, fears of food and weight gain are the most explored fears underlying ED pathology. However, recently other important ED fears have been identified, including fears of social consequences and personal consequences. METHOD: The current study (N = 229 individuals with an ED) aimed to better characterize ED fears. Specifically, this study examined which ED fears were most endorsed across and within ED diagnoses, and if there were differences in ED fears by diagnosis and by weight status. RESULTS: Overall, fear of gaining weight was the most frequently endorsed fear, followed by fear of food, and fear of judgment. Individuals with anorexia nervosa (AN) most frequently endorsed fear of food, individuals with atypical AN and bulimia nervosa: fear of gaining weight, and those with other specified feeding and eating disorder: fear of judgment. Limited differences were found between diagnoses. When examining by weight category, participants with underweight most frequently endorsed fear of food, participants with normal weight: fear of gaining weight, and participants with overweight and obesity: fear of judgment. DISCUSSION: These findings suggest ED fears are heterogenous. Given such high heterogeneity, this work highlights the importance of assessing for specific ED fears at the beginning of treatment, which could be used to deliver personalized exposure treatment. PUBLIC SIGNIFICANCE STATEMENT: Eating disorders (EDs) are serious mental illnesses with high rates of medical and psychiatric comorbidities. Fear plays an important role in the development and maintenance of EDs. The present study found fear of food, weight gain, and judgment are the most frequently endorsed fears for individuals with EDs and found few differences in fears based on ED diagnosis. These findings highlight the importance of assessing individuals' specific ED fears for treatment.

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.

Testing intrusive thoughts as illness pathways between eating disorders and obsessive-compulsive disorder symptoms: a network analysis.

Obsessive-compulsive disorder (OCD) and eating disorders (EDs) frequently co-occur. Intrusive thoughts are a mechanism that may maintain this comorbidity. This study used network analysis to identify central ED-related intrusive thoughts and tested which intrusive thoughts connected ED and OCD symptoms. Two cross-sectional graphical LASSO networks were computed using a sample of 353 non-clinical participants (mean age = 35.38, SD = 9.9, 40% female, 81.6% Caucasian) with elevated disordered eating symptoms. Model 1 included just ED-related intrusive thoughts, and Model 2 included ED-related intrusive thoughts, ED, and OCD symptoms. In Model 1, we found that thoughts about one's bodily appearance (i.e., looking horrible, getting fat, gaining weight) were most central. In Model 2, we found that desire to lose weight, eating in secret, and shape dissatisfaction were most central. We identified one illness pathway (i.e., difficulty concentrating due to thoughts of food/calories) connecting intrusive thoughts, ED symptoms, and OCD symptoms. However, intrusive thoughts did not bridge ED and OCD symptoms. Hence, we found some evidence that ED-related intrusive thoughts may contribute to ED and OCD symptoms based on thought content and frequency. However, other aspects of intrusive thoughts should be considered to ascertain whether they do in fact significantly contribute to ED and OCD comorbidity. Prevention efforts targeting ED-related intrusive thoughts may attenuate ED and OCD symptoms among subclinical individuals.

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.

Pilot outcomes from a multidisciplinary telehealth versus in-person intensive outpatient program for eating disorders during versus before the Covid-19 pandemic.

INTRODUCTION: Eating disorders (EDs) are serious mental illnesses with high rates of mortality, morbidity, and personal and societal costs. Onset of the Covid-19 pandemic led to increased ED diagnoses in the general public, as well as worsening of ED symptoms in those with an existing ED diagnosis. Heightened prevalence and severity of EDs during the pandemic is complicated by the fact that traditional modes of ED care (specialty intensive treatment provided by a multidisciplinary team) have been difficult to access during the pandemic. METHODS: The current between-groups study (N = 93 ED) tested a multidisciplinary intensive outpatient program (IOP) delivered via in-person (pre-pandemic; n = 60) and virtually via telehealth (during the pandemic; n = 33). RESULTS: We found no differences in outcomes via delivery mode, such that regardless of in-person versus telehealth programming, ED symptoms, depression, and perfectionism significantly decreased and body mass index significantly increased. CONCLUSIONS: Our findings suggest that a multi-disciplinary telehealth ED IOP program is feasible and has comparable outcomes to in-person IOP treatment. These findings have implications for treatment beyond the pandemic, suggesting that adoption of telehealth IOPs is warranted. Such delivery modes of intensive treatments for EDs could be expanded to reach underserved populations, especially in rural areas where treatment is often difficult to access.

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.

Mindfulness-based interventions for eating disorders: The potential to mobilize multiple associative-learning change mechanisms.

Mindfulness is a two-component skill that includes mindful awareness (attentional monitoring of present moment experience) and mindful acceptance (adopting an attitude of acceptance toward this experience). Although mindfulness-based interventions (MBIs) are efficacious for many conditions, there is a lack of research on MBIs for eating disorders (EDs). We propose that MBIs may be promising for EDs given their potential to mobilize not one, but multiple associative-learning change mechanisms in EDs-defined as adaptive processes of change involving one of two forms of associative-learning: Pavlovian and operant learning. We hypothesize how MBIs-via increasing either mindful awareness or mindful acceptance-may mobilize up to eight associative-learning change mechanisms, two involving Pavlovian learning, and six involving operant learning. We also elaborate on similarities and differences between MBIs and CBT approaches for EDs, as well as opportunities for synergy. Finally, we present recommendations for future research related to the development and evaluation of novel MBI interventions for EDs and the testing of mechanisms and patient-treatment matching hypotheses.

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.

A pilot randomized control trial of online exposure for eating disorders and mechanisms of change delivered after discharge from intensive eating disorder care: A registered report.

More than 50% of individuals with an eating disorder (ED) will readmit to treatment within 6 months of treatment discharge and often due to persistent cognitive ED pathology. Interventions addressing unremitted cognitive ED pathology following discharge from intensive treatment are crucial to prevent readmission. Imaginal exposure therapy facilitates the approach of feared stimuli not accessible in everyday life (e.g., rapidly gaining weight). In the current pilot randomized control trial (RCT), participants will be randomly assigned to a five-session online imaginal exposure condition (n = 65) or a control online writing and thinking intervention (n = 65) within a month of discharge from intensive treatment. Exposure participants write about and imagine an ED fear and control participants will write about their ED generally. We will examine the feasibility and acceptability of the treatment conditions and whether imaginal exposure is more effective in preventing readmission than the control condition. We will test the efficacy of the imaginal exposure treatment in reducing ED symptoms and fears of food and weight gain, and whether fear learning is a mechanism of change related to ED pathology. Ultimately, this research will lead to the development of an easily deployable readmission prevention treatment based on fear conditioning targets.

Intolerance of uncertainty and maladaptive perfectionism as maintenance factors for eating disorders and obsessive-compulsive disorder symptoms.

OBJECTIVE: Eating disorders (EDs) are highly comorbid with obsessive-compulsive disorder (OCD). In order to develop treatments which better address commonly comorbid ED and OCD symptoms, it is important to identify potential shared mechanisms. Two potential shared mechanisms are maladaptive perfectionism and intolerance of uncertainty (IU). We aimed to assess how maladaptive perfectionism and IU may contribute to the maintenance of ED and OCD symptoms in individuals with EDs. METHODS: In the current study (N = 168 individuals with an ED), we analysed cross-sectional and prospective path models of maladaptive perfectionism and IU as maintenance factors of ED and OCD symptoms. RESULTS: We found that IU was associated with both ED and OCD symptoms, and maladaptive perfectionism was associated with ED symptoms. We also found that maladaptive perfectionism and IU prospectively predicted OCD symptoms, but not ED symptoms. CONCLUSIONS: Overall, these findings suggest that it may be beneficial to target both maladaptive perfectionism and IU in individuals with a current ED diagnosis in order to prevent the development of OCD symptoms.

Network Analysis of PTSD Symptoms in a Sample of Polyvictimized Youth.

Polyvictimization (i.e., the experience of multiple types of victimization) increases the risk for post-traumatic stress disorder (PTSD) relative to single-type victimization. Network analysis has been used to conceptualize PTSD among children and adolescents exposed to specific types of victimization (e.g., maltreatment, natural disasters), but not among those theorized to be at highest risk of poor outcomes (i.e., polyvictimized youth). The current study used network analysis to enhance our understanding of PTSD symptoms in a diverse sample of adolescents exposed to polyvictimization. Data were drawn from the Longitudinal Studies on Child Abuse and Neglect, a multi-site study of children and adolescents living in the United States (ages 0-18). Using indicators of seven different types of age-16 victimization, k-means cluster analysis identified a subgroup of polyvictimized youth. A PTSD symptom network was estimated for polyvictimized youth, with depersonalization, self-blame, and sadness emerging as central symptoms. Regression analyses indicated that depersonalization prospectively predicted age-18 anxiety symptoms, p = .033. Central symptoms did not predict age-18 PTSD or depression symptoms. To date, this is the first network study on a polyvictimized sample. While preliminary, our findings suggest that dissociation and self-blame may be central to polyvictimized youth and that dissociation may represent an important prevention target for anxiety.

Social appearance anxiety moderates the relationship between thin-ideal internalization and eating disorder symptoms cross-sectionally and prospectively in adolescent girls.

PURPOSE: The sociocultural theory of eating disorders (EDs) posits that thin-ideal internalization may interact with social risk factors to influence ED development. Social appearance anxiety (SAA) is a potential social risk factor for EDs that may influence the relationship between thin-ideal internalization and EDs. METHODS: The current study (N = 525 adolescent females) examined whether SAA moderated the relationship between thin-ideal internalization and ED symptoms cross-sectionally and prospectively across one month. RESULTS: The interaction between thin-ideal internalization and SAA on ED symptoms was significant in both models, such that when SAA was higher, there was a significantly stronger relationship between thin-ideal internalization and ED symptoms. We also found that SAA uniquely, prospectively predicted ED symptoms. CONCLUSION: These results suggest that adolescents with high SAA and high thin-ideal internalization are more likely to exhibit higher ED symptoms. SAA both prospectively predicts ED symptoms and may amplify the relationship between thin-ideal internalization and EDs. This research highlights SAA as a social risk factor for ED development in adolescents. Interventions focused on SAA may optimize ED prevention in this population. LEVEL OF EVIDENCE: Level IV, evidence obtained from multiple time series with or without the intervention.

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.