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.

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.

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.

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.

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.

Avoidance coping during mealtimes predicts higher eating disorder symptoms.

OBJECTIVE: Eating disorders (EDs) are characterized by significant anxiety during mealtime that contributes to food avoidance and weight loss. Individuals with EDs commonly use avoidance coping (e.g., distraction) to tolerate meals and comply with meal plans. Although this strategy may be effective short term, a large body of anxiety literature suggests that avoidance can lead to worsening of psychological symptoms long term. METHOD: The current study (N = 66 individuals diagnosed with ED) used ecological momentary assessment (EMA) to examine the short-term and long-term associations of avoidance coping on ED symptoms. RESULTS: Distraction during meals predicted a reduction in anxiety in the short term, and both distraction and avoidance of emotions predicted increases in excessive exercise in the short term. Distraction and avoidance of emotions predicted increases in bulimic symptoms 1 month after completion of EMA. DISCUSSION: These results are consistent with prior literature on avoidance and suggest that avoidance coping during meals may contribute to the increase of ED behaviors in the long term. Coping strategies that encourage approach and tolerance of difficult thoughts and emotions (e.g., acceptance-based strategies) rather that avoidance coping may promote longer-term symptom reduction.

Manipulating the theoretical framing of exposure therapy for eating disorders impacts clinicians' treatment preferences.

BACKGROUND: Exposure therapy is the most effective treatment for anxiety and related disorders and its efficacy in the eating disorders is rapidly gaining support. Despite the strong evidence behind exposure therapy, many anxiety disorder providers do not endorse the usage of exposure therapy. Limited research has explored the use of exposure therapy in eating disorder providers, as well as the impact of framing on likelihood to use exposure therapy. OBJECTIVE: The current study (N = 125 eating disorder providers) manipulated the framing of exposure to feared foods (pizza). METHODS: We framed the treatment as an exposure, behavioral experiment, or acceptance/mindfulness-based intervention. We also tested attitudes towards exposure therapy in eating disorder providers. RESULTS: Participants were more likely to endorse willingness to use a treatment framed as a behavioral experiment over exposure and acceptance-based framing. This effect did not vary by degree type, type of provider, years in practice, experience, or training. We also found that providers with more training, specifically in eating disorder exposure, were more likely to use exposure over acceptance-based framed intervention (and vice versa). Finally, we found that eating disorder providers had a somewhat positive view of exposure therapy. CONCLUSION: Framing of the intervention impacts likelihood that providers will endorse using specific interventions. Therefore, intervention development and dissemination efforts should consider the language around the description of evidence-based treatments. Furthermore, enhanced training and education specifically with eating disorder exposure therapy may enhance the likelihood of providers utilizing exposure therapy. Level I: experimental study.

Sensor technology implementation for research, treatment, and assessment of eating disorders.

Sensor technology has made huge technological advances in the past decade. Many sensor technologies (e.g., wearable wristbands) have been integrated into health research with the ability to substantially improve health outcomes and reduce health care costs. Despite the rapid technological developments in sensor technology, little research has examined sensor technology in eating disorders (EDs). The overarching aim of the current article is to briefly review the literature on sensor technology and health outcomes, including EDs, and discuss several potential ideas for the application of sensor technology in the treatment, assessment, and diagnosis of EDs. We will also present data from a feasibility case study with an ED participant and healthy control providing a brief example of how wearable sensor technology might be implemented in ED research. Overall, we will discuss how sensor technology could be used to improve treatment and assessment of EDs and represents an idea in need of more research in the ED field.

Social anxiety and eating disorder comorbidity and underlying vulnerabilities: Using network analysis to conceptualize comorbidity.

OBJECTIVE: Eating disorders (EDs) and social anxiety disorder (SAD) are highly co-occurring. This comorbidity is extremely relevant, given that individuals with comorbid ED-SAD are less likely to seek and/or benefit from ED treatment. METHOD: We used network analysis to conceptualize ED-SAD comorbidity in a sample of 2,215 participants with a primary diagnosis of ED, SAD, or no known diagnosis. We used novel network analyses methods to select symptoms for our models, identify potential illness pathways (i.e., bridge symptoms) between disorders and underlying vulnerabilities (e.g., perfectionism, social appearance anxiety), and to compare across sample types (e.g., clinical vs. nonclinical). We also tested several novel network analyses methods aimed at the following methodological concerns: (a) topological concerns (i.e., which items should be included in NA models), (b) how to use empirical indices to quantify bridge symptoms and (c) what differences in networks across samples mean. RESULTS: We found that difficulty with drinking beverages and eating in public were bridge symptoms between ED and SAD. We also found that feeling nervous about one's appearance was a bridge symptom. CONCLUSIONS: We identified public eating and drinking as bridge symptoms between EDs and SAD. Future research is needed to test if interventions focused on public eating and drinking might decrease symptoms of both EDs and SAD. Researchers can use this study (code provided) as an exemplar for how to use network analysis, as well as to use network analysis to conceptualize ED comorbidity and compare network structure and density across samples.

The Unique and Moderating Role of Social and Self-Evaluative Factors on Perinatal Eating Disorder and Depression Symptoms.

Pregnancy and postpartum represent a critical transition period for changes in eating disorder (ED) symptoms and depression. Past research has established a relationship between ED and depressive symptoms during pregnancy. However, changes in depression and ED symptom across stages of pregnancy and postpartum, and factors that influence this relationship, remain understudied. Social factors and self-evaluative factors may be important given rapidly changing social pressures and expectations during this transitional time. The current study (N = 454 pregnant women) examined (1) differences in ED and depressive symptoms across pregnancy and postpartum and (2) whether social factors (social appearance anxiety; social support) and self-evaluative factors (maladaptive perfectionism; self-compassion) moderate the relationship between depression and ED symptoms cross-sectionally and prospectively. Study aims, hypotheses, and data analysis were preregistered on the Open Science Foundation (osf.io). This study did not identify differences in ED or depression symptoms across women at different stages of pregnancy; however, depression symptoms significantly improved within individuals from pregnancy to postpartum. ED symptoms and all social and self-evaluative factors were uniquely associated with depression during pregnancy. ED symptoms, maladaptive perfectionism, social appearance anxiety, and self-compassion during pregnancy significantly predicted postpartum depression, when accounting for prenatal depression. During pregnancy, but not postpartum, when social support and self-compassion were low, and when maladaptive perfectionism was high, there was a stronger relationship between ED and depression symptoms. ED symptoms and social and self-evaluative factors could be targeted in routine medical care and stepped-care interventions to improve maternal mental healthcare and prevent postpartum depression.

Development and Validation of a Broad and Fear-Adaptable Measure of Fear Approach and Application to Common Eating Disorder Fears.

Fear approach is a theorized mechanism of exposure treatment for anxiety-based disorders. However, there are no empirically established self-report instruments measuring the tendency to approach feared stimuli. Because clinical fears are heterogeneous, it is important to create a measure that is adaptable to person- or disorder-specific fears. The current study (N = 455) tests the development, factor structure, and psychometric properties of a self-report instrument of fear approach broadly and the adaptability of this measure to specific eating disorder fears (i.e., food, weight gain). Factor analyses identified a unidimensional, nine-item factor structure as the best fitting model. This measure had good convergent, divergent, and incremental validity and good internal consistency. The eating disorder adaptations retained good fit and strong psychometric properties. These results suggest that this measure is a valid, reliable, and adaptable measure of fear approach, which can be used in research and exposure therapy treatment for anxiety-based disorders.

An Intensive time series investigation of the relationships across eating disorder-specific fear responses and behavior urges in partially remitted anorexia nervosa.

Anorexia nervosa (AN) is a serious and persistent psychiatric illness. Many individuals with AN cycle between stages of remission (i.e., relapse), with research documenting that cognitive remission generally lags behind nutritional/weight restoration. Yet, little is known about which mechanisms promote movement from partial remission in AN (defined as nutritional, but not cognitive, recovery) to full remission. Fear-based processes, including avoidance and approach behaviors, likely contribute to the persistence of cognitive-behavioral AN symptoms after nutritional restoration. The current study used intensive longitudinal data to characterize these processes during partial remission (N = 41 participants with partially remitted AN; 4306 total observations). We aimed to a) characterize frequency of fear-based processes in real-time, b) investigate associations across fear-based processes and behavioral urges, and c) test if real-time associations among symptoms differed across commonly feared stimuli (e.g., food, social situations). On average, participants endorsed moderate fear and avoidance, with weight-gain fears rated higher than other feared stimuli. Momentary fear, avoidance, approach, and distress were all positively associated with AN behavior urges at one time-point and prospectively. Central symptoms and symptom connections differed across models with different feared stimuli. These findings provide empirical support for the theorized fear-avoidance-urge cycle in AN, which may contribute to the persistence of eating pathology during partial remission. Fear approach may be associated with temporary increases in urges, which should be considered during treatment. Future research should explore these associations in large, heterogeneous samples, and test the effectiveness of exposure-based interventions during partial remission.

Facing Eating Disorder Fears: An Open Trial Adapting Prolonged Exposure to the Treatment of Eating Disorders.

Eating disorders (EDs) are maintained by core fears, which lead to avoidance behaviors, such as food avoidance or compensatory behaviors. Previously tested exposure-based treatments for EDs have generally focused on proximal outcomes (e.g., food), rather than addressing core fears (e.g., fear of weight gain and its consequences). The current study tested the feasibility and initial clinical efficacy of 10 sessions of imaginal and in vivo exposure for core ED fears (termed "Facing Eating Disorder Fears"), mainly fear of weight gain and its associated consequences. Participants were 36 adults with anorexia nervosa (AN), bulimia nervosa, or other specified feeding and eating disorders determined by semistructured diagnostic interviews. ED symptoms, fears, and body mass index (BMI) were assessed at pretreatment, posttreatment, and 1-month follow-up. Treatment involved 10 sessions of imaginal and in vivo exposure to ED fears in combination with in vivo exposures to feared and avoided situations as homework. ED symptoms and fears decreased from pre- to posttreatment and at 1-month follow-up. BMI increased significantly from pre- to posttreatment, particularly for those with AN. Effect sizes ranged from small to very large. ED symptoms and fears decreased and BMI increased following exposure. Increases in BMI occurred without any direct intervention on eating, suggesting that weight gain can be achieved without a specific focus on food during ED treatment. Facing Eating Disorder Fears may be a feasible stand-alone intervention for EDs. Future research must test comparative efficacy through randomized controlled trials.

Are within- and between-session changes in distress associated with treatment outcomes? Findings from two clinical trials of exposure for eating disorders.

OBJECTIVE: Imaginal exposure is a novel intervention for eating disorders (EDs) that has been investigated as a method for targeting ED symptoms and fears. Research is needed to understand mechanisms of change during imaginal exposure for EDs, including whether within- and between-session distress reduction is related to treatment outcomes. METHOD: Study 1 tested four sessions of online imaginal exposure (N = 143). Study 2 examined combined imaginal and in vivo exposure, comprising six imaginal exposure sessions (N = 26). ED symptoms and fears were assessed pre- and posttreatment, and subjective distress and state anxiety were collected during sessions. RESULTS: Subjective distress tended to increase within-session in both studies, and within-session reduction was not associated with change in ED symptoms or fears. In Study 1, between-session reduction of distress and state anxiety was associated with greater decreases in ED symptoms and fears pre-to posttreatment. In Study 2, between-session distress reduction occurred but was not related to outcomes. CONCLUSIONS: Within-session distress reduction may not promote change during exposure for EDs, whereas between-session distress reduction may be associated with better treatment outcomes. These findings corroborate research on distress reduction during exposure for anxiety disorders. Clinicians might consider approaches to exposure-based treatment that focus on distress tolerance and promote between-session distress reduction.

Understanding heterogeneity, comorbidity, and variability in depression: Idiographic models and depression outcomes.

This study uses time-intensive, item-level assessment to examine individual depressive and co-occurring symptom dynamics. Participants experiencing moderate-severe depression (N = 31) completed ecological momentary assessment (EMA) four times per day for 20 days (total observations = 2480). We estimated idiographic networks using MDD, anxiety, and ED items. ED items were most frequently included in individual networks relative to depression and anxiety items. We built ridge and logistic regression ensembles to explore how idiographic network centrality metrics performed at predicting between-subject depression outcomes (PHQ-9 change score and clinical deterioration, respectively) at 6-months follow-up. For predicting PHQ-9 change score, R2 ranged between 0.13 and 0.28. Models predicting clinical deterioration ranged from no better than chance to 80 % accuracy. This pilot study shows how co-occurring anxiety and ED symptoms may contribute to the maintenance of depressive symptoms. Future work should assess the predictive utility of psychological networks to develop understanding of how idiographic models may inform clinical decisions.

Profiles of experienced and internalized weight-based stigma in college students across the weight spectrum: Associations with eating disorder, depression, and anxiety symptoms.

OBJECTIVE: Weight stigma comprises negative attitudes and weight-related stereotypes that result in rejection, discrimination, and prejudice against individuals in larger bodies. Both internalized and experienced weight stigma are associated with negative mental health outcomes, yet it remains unknown how types of stigmatizing experiences (e.g., systemic vs. intraindividual), internalized stigma, and weight status relate, or how profiles of weight stigma differentially impact mental health. METHOD: The current study (N = 1001 undergraduates) used latent profile analysis to identify weight stigma risk profiles and test whether profiles were cross-sectionally associated with eating disorder symptoms, depression, and social appearance anxiety. RESULTS: The best-fitting solution indicated a class high on all facets of weight stigma, a class low on all facets of weight stigma, and three groups with intermediate levels of weight, weight bias internalization, and experienced weight stigma. Gender, but not ethnicity, was associated with class membership. Classes with higher experienced and internalized stigma had higher eating disorder symptoms, depression, and social appearance anxiety. CONCLUSION: Findings support the utility of weight stigma profiles in identifying risk for negative mental health outcomes. These findings can inform initiatives to reduce weight stigma among college students, especially among high-risk groups.

A Pilot, Time-Series Investigation of Depression, Anxiety, and Eating Disorder Symptoms in Adults Experiencing Major Depressive Symptoms: The Need for Eating Disorder Assessment and Research in Depression.

Major Depressive Disorder (MDD) is a prevalent psychiatric disorder impacting 10-16% of Americans in their lifetime. Approximately 60% of individuals with MDD have comorbid anxiety disorders. Additionally, although scarce research has examined eating disorders (EDs) in depression, a bidirectional association exists between ED and MDD symptoms. The current pilot study (N = 31 individuals with moderate to severe depression) modeled networks of depressive, anxiety, and ED symptoms using intensive time-series data. This study also tested if temporal central symptoms predicted six-month clinical outcomes. The most central symptoms were guilt, self-dislike, lack of energy, and difficulty concentrating. Several anxiety and ED symptoms were also central, including physical anxiety, social anxiety, body dissatisfaction, and desire for thinness. The central symptom crying predicted six-month depression with a medium effect size. These findings suggest anxiety and ED symptoms may influence the day-to-day course of depression in some individuals with comorbid diagnoses, but predictors of symptoms across hours may differ from predictors across longer time scales (i.e., months). Time scale should be considered when conducting and interpreting research on MDD. Research, assessment, and treatment for MDD should continue to explore transdiagnostic approaches including anxiety and ED symptoms to optimize care for individuals with complex presentations.

Personalizing eating disorder treatment using idiographic models: An open series trial.

OBJECTIVE: Treatments for adults with eating disorders (EDs) only work in about 50% of individuals, and for some diagnoses (e.g., anorexia nervosa; atypical anorexia nervosa), there are no existing evidence-based treatments. Part of the reason that treatments may only work in a subset of individuals is because of the high heterogeneity present in the EDs, even within diagnoses. Manualized treatments delivered in a standard format may not always address the most relevant symptoms for a specific individual. METHOD: The current open series trial recruited participants with transdiagnostic ED diagnoses (N = 79) to investigate the feasibility, acceptability, and initial clinical efficacy of a 10-session network-informed personalized treatment for eating disorders. This treatment uses idiographic (i.e., one-person) network models of ecological momentary assessment symptom data to match participants to evidence-based modules of treatment. RESULTS: We found that network-informed personalized treatment was highly feasible with low dropout rates, was rated as highly acceptable, and had strong initial clinical efficacy. ED severity decreased from pre- to posttreatment and at 1-year follow-up with a large effect size. ED cognitions, behaviors, clinical impairment, worry, and depression also decreased from pre- to posttreatment. CONCLUSIONS: These data suggest that network-informed personalized treatment has high acceptability and feasibility and can decrease ED and related pathology, possibly serving as a feasible alternative to existing treatments. Future randomized controlled trials comparing network-informed personalized treatment for ED to existing gold standard treatments are needed. Additionally, more research is needed on this type of personalized treatment both in the EDs, as well as in additional forms of psychopathology, such as depression. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

A Network Analysis Investigation of Disordered Eating Across Demographic and Developmental Subpopulations Using a National Epidemiological Sample of High School Students.

Disordered eating (DE) poses a large societal burden, yet limited research has examined DE from a developmental epidemiological perspective. It is important to consider how demographics influence DE symptoms to inform prevention and early intervention programs across diverse subpopulations. Therefore, we conducted network analyses using a large nationally representative epidemiological sample of high school students (Youth Risk Behavior Survey, United States; n = 59,582) to identify the most important symptoms and symptom relationships among six DE behaviors. We compared networks by sex, grade, and race to identify differences in symptom networks. Dieting for weight loss was highly central across networks. Networks significantly differed across sex, grade, and race. Our results suggest that dieting for weight loss may be an early intervention target for eating disorders, regardless of demographic and developmental factors. In addition, sex, race, and age should be accounted for when researching and developing prevention programs for DE and eating disorders. Public health officials, as well as mental health professionals, should present a more balanced message about dieting and weight loss to high school students to prevent the detrimental impact of DE on physical and mental health. Notably, this study is the first large, nationwide epidemiological sample using DE symptoms in network analysis.