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.

Eating disorders among queer and trans individuals: Implications for conceptualization, assessment, and treatment.

Eating disorders (EDs) have been traditionally viewed as a disorder affecting cisgender, heterosexual women. Yet, the prevalence of EDs among queer and trans (QnT) individuals, coupled with the lack of interventions that attend to contextual factors related to sexual orientation and gender identity, underscore a critical health disparity issue requiring urgent attention. Here, we first review factors pertaining to QnT individuals' minoritized sexual and gender identities that are important to consider in ED conceptualization for this population (e.g., minority stressors, identity-based body image standards). Next, we describe problematic assumptions present in existing ED assessment and propose more inclusive approaches. Lastly, we provide suggestions for practices that providers can implement within their treatment of EDs among QnT individuals.

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.

Eating Disorder Treatment Access in the United States: Perceived Inequities Among Treatment Seekers.

OBJECTIVE: Although eating disorders are associated with high rates of psychological and physical impairments and mortality, only about 20% of individuals with eating disorders receive treatment. No study has comprehensively assessed treatment access for those with these disorders in the United States. The authors examined access to eating disorder treatments and how it might vary among some populations. METHODS: Seekers of treatment for eating disorders (N=1,995) completed an online assessment of clinical demographic and anthropometric characteristics, barriers to eating disorder treatment access, and eating disorder symptomatology. Analyses were conducted to identify treatment access barriers, compare barriers to treatment access across demographic groups, and investigate relationships between barriers to treatment access and eating disorder symptoms. RESULTS: Financial barriers (e.g., lack of insurance coverage) were the most frequently reported barrier to treatment access. Participants with historically underrepresented identities and with a diagnosis of other specified feeding or eating disorder (OSFED) reported more barriers related to financial challenges, geographic location, eating disorder identification, sociocultural factors, and treatment quality compared with those with historically represented identities (e.g., White and cisgender persons). Higher frequencies of reported barriers to treatment access were associated with more severe eating disorder symptoms and poorer illness trajectories. CONCLUSIONS: Financial barriers were the most significant impediment to accessing treatment among individuals seeking eating disorder treatment. Barriers to treatment access disproportionally affected underrepresented groups and those with an OSFED diagnosis.

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.

A longitudinal network analysis of suicide risk factors among service members and veterans sampled for suicidal ideation or attempt.

BACKGROUND: Suicidal thoughts and behaviors are elevated among active-duty service members (ADSM) and veterans compared to the general population. Hence, it is a priority to examine maintenance factors underlying suicidal ideation among ADSM and veterans to develop effective, targeted interventions. In particular, interpersonal risk factors, hopelessness, and overarousal have been robustly connected to suicidal ideation and intent. METHODS: To identify the suicidal ideation risk factors that are most relevant, we employed network analysis to examine between-subjects (cross-sectional), contemporaneous (within seconds), and temporal (across four hours) group-level networks of suicidal ideation and related risk factors in a sample of ADSM and veterans (participant n = 92, observations n = 10 650). Participants completed ecological momentary assessment (EMA) surveys four times a day for 30 days, where they answered questions related to suicidal ideation, interpersonal risk factors, hopelessness, and overarousal. RESULTS: The between-subjects and contemporaneous networks identified agitation, not feeling close to others, and ineffectiveness as the most central symptoms. The temporal network revealed that feeling ineffective was most likely to influence other symptoms in the network over time. CONCLUSION: Our findings suggest that ineffectiveness, low belongingness, and agitation are important drivers of moment-to-moment and longitudinal relations between risk factors for suicidal ideation in ADSM and veterans. Targeting these symptoms may disrupt suicidal ideation.

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.

State mechanisms of change in eating disorder symptoms and fears during an online imaginal exposure treatment for eating disorders.

Anxiety and fear are key characteristics of eating disorders (EDs). Exposure therapy is a specific type of intervention aimed at reducing fear and anxiety and is efficacious in treating a variety of anxiety and related disorders. A growing body of research suggests that exposure therapy is also efficacious for the treatment of EDs. However, there is currently little research investigating mechanisms of change during exposure therapy for EDs. The current study (N = 143) expanded on an open series trial of imaginal exposure for EDs that found significant reductions in ED symptoms and core ED fears. In the current study we investigated change in state drive for thinness, body dissatisfaction, and anxiety as mechanisms underpinning change in ED symptoms and core ED fears during four sessions of online imaginal exposure treatment for EDs. We found that state body dissatisfaction, but not state drive for thinness or anxiety, was a mechanism of change for ED symptoms and some core ED fears. Our findings suggest that body dissatisfaction may be a mechanism driving change during exposure therapy for EDs. Optimizing exposure treatments to focus on body dissatisfaction may improve treatment outcomes for EDs.

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.

Development and Psychometric Validation of the Body Trust Scale.

Interoception (e.g., abilities to recognize/attend to internal sensations) is robustly associated with psychopathology. One form of interoception, body trust, is relevant for the development of disordered eating and suicidal thoughts/behaviors. However, measures of body trust are narrow, despite research suggesting body trust is multifaceted. The aim of this study was to develop a comprehensive measure of body trust: The Body Trust Scale (BTS). 479 U.S. adults completed self-report surveys containing the BTS and psychopathology measures. Exploratory and confirmatory factor analyses revealed a three-factor structure: Comfort with One's Body, Physical Attractiveness, and Comfort with Internal Sensations. Factors showed strong construct, convergent, and divergent validity, as well as moderate predictive validity for suicidal thoughts/non-suicidal self-injury. Furthermore, factors showed strong internal consistency, test-retest reliability, and were invariant across the gender binary. The BTS can be used in research and clinical settings to understand how specific facets of body trust relate to psychopathology.

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.

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.

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.

Investigating the Theory of Clinical Perfectionism in a Transdiagnostic Eating Disorder Sample Using Network Analysis.

Eating disorders are deadly psychiatric illnesses, with treatments working for less than half of individuals who seek treatment. The transdiagnostic theory of eating disorders proposes that eating disorders share similar maintaining symptoms, such as what this theory calls clinical perfectionism (i.e., high levels of concern over mistakes and personal standards). However, it has been difficult to examine the interrelationship of specific aspects of perfectionism, beyond assessing moderation effects, which have generally not found support for the theory of clinical perfectionism in eating disorders. Thus, we used network analysis to test the theory of perfectionism by testing the interrelationships between maladaptive perfectionism facets (concern over mistakes, personal standards, parental criticism, parental expectations, and personal standards) and eating disorder symptoms in 397 individuals diagnosed with an eating disorder. Concern over mistakes was a central symptom and demonstrated the strongest interrelationships with eating disorder symptoms compared to the other aspects of perfectionism, connecting to eating concerns and cognitive restraint. Objective binge eating had a strong negative connection to personal standards. We identified specific central symptoms and illness pathways of perfectionism, which partially supports the theory of clinical perfectionism. Results, if replicated, may suggest that concern over mistakes might be best reconceptualized as part of eating disorder pathology and be targeted to improve treatment outcomes for eating disorders.

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.

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.

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.

Are central eating disorder network symptoms sensitive to item selection and sample? Implications for conceptualization of eating disorder psychopathology from a network perspective.

Item selection is a critical decision in modeling psychological networks. The current preregistered two-study research used random selections of 1,000 symptom networks to examine which eating disorder (ED) and co-occurring symptoms are most central in longitudinal networks among individuals with EDs (N = 71, total observations = 6,060) and tested whether centrality changed based on which items were included in the network. Participants completed 2 weeks of ecological momentary assessment (five surveys/day). In Study 1, we obtained initial strength centrality values by estimating an a priori network using eight items with the highest means. We then estimated 1,000 networks and their centrality from a random selection of unique eight-item symptom combinations. We compared the strength centrality from the a priori network to the distribution of strength centrality estimates from the random-item networks. In Study 2, we repeated this procedure in an independent longitudinal dataset (N = 41, total observations = 4,575) to determine if our results generalized across samples. Shame, guilt, worry, and fear of losing control were consistently central across networks, regardless of items included in the network or sample. Results suggest that these symptoms may be important to the structure of ED psychopathology and have implications for how we understand the structure of ED psychopathology. Existing methods for item inclusion in psychological networks may distort the structure of ED symptom networks by either under- or overestimating strength centrality, or by omitting consistently central symptoms that are nontraditional ED symptoms. Future research should consider including these symptoms in models of ED psychopathology. (PsycInfo Database Record (c) 2023 APA, all rights reserved).