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.

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.

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.

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.

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.

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.

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.

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).

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.

Evaluating the psychometric properties of the Fear of Food Measure in adolescents across three independent samples.

The Fear of Food Measure (FOFM) was developed to assess eating-related anxiety and evaluate outcomes of food exposure treatment. The FOFM scores in adult community and clinical samples have demonstrated good factor structure, reliability, and validity, but the FOFM has yet to be evaluated in adolescents, despite eating disorders (EDs) being extremely prevalent during adolescence. The current research evaluated the psychometric properties of the FOFM in three independent child and adolescent samples ages 11-18: patients at two separate intensive treatment programs for EDs (N = 688, N = 151) and students in an all-girl high school (N = 310). The revised adolescent version of FOFM (FOFM-A) consists of 10 items and three subscales: Anxiety About Eating, Food Anxiety Rules, and Social Eating Anxiety. We also found support for the use of a global FOFM-A score in an adolescent population. The FOFM-A scores evidenced good internal consistency as well as convergent, discriminant, and incremental validity across all samples. FOFM-A subscales strongly correlated with other measures of ED symptoms and moderately to strongly correlated with measures of anxiety and depression. Adolescents diagnosed with EDs scored significantly higher on all subscales of FOFM-A compared to a community high school sample without ED diagnoses. We identified that a total FOFM-A cutoff score of 1.93 best differentiates between those with and without ED diagnoses. The FOFM-A may be useful in the assessment and treatment of eating-related anxiety and avoidance in adolescents. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

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 Open Trial of a Digital Mindfulness-Based Intervention for Anorexia Nervosa.

Anorexia nervosa (AN) is a chronic and debilitating psychiatric disorder. Unfortunately, current treatments are lacking, with only 30-50% of individuals with AN recovering after treatment. We developed a beta-version of a digital mindfulness-based intervention for AN called Mindful Courage-Beta, which includes: (a) one foundational multimedia module; (b) 10 daily meditation mini-modules; (c) emphasis on a core skill set called the BOAT (Breathe, Observe, Accept, Take a Moment); and (d) brief phone coaching for both technical and motivational support. In this open trial, we aimed to evaluate (1) acceptability and feasibility; (2) intervention skill use and its association with state mindfulness in daily life; and (3) pre-to-post changes in target mechanisms and outcomes. Eighteen individuals with past-year AN or past-year atypical AN completed Mindful Courage-Beta over 2 weeks. Participants completed measures of acceptability, trait mindfulness, emotion regulation, eating disorder symptoms, and body dissatisfaction. Participants also completed ecological momentary assessment of skill use and state mindfulness. Acceptability ratings were good (ease-of-use: 8.2/10, helpfulness: 7.6/10). Adherence was excellent (100% completion for foundational module and 96% for mini-modules). Use of the BOAT in daily life was high (1.8 times/day) and was significantly associated with higher state mindfulness at the within-person level. We also found significant, large improvements in the target mechanisms of trait mindfulness (d = .96) and emotion regulation (d = .76), as well as significant, small-medium to medium-large reductions in eating disorder symptoms (ds = .36-.67) and body dissatisfaction (d = .60). Changes in trait mindfulness and emotion regulation had medium-large size correlations with changes in global ED symptoms and body dissatisfaction (rs = .43 - .56). Mindful Courage-Beta appears to be promising and further research on a longer, refined version is warranted.

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.