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.

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.

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.

'Let the ladies know': queer women's perceptions of how gender and sexual orientation shape their eating and weight concerns.

This exploratory study aimed to describe the lived experiences of queer women affected by eating and weight-related concerns. Qualitative data from young queer women (n = 105; Age = 23.6 ± 3.4 years) with eating and weight-related concerns in response to open-ended questions related to the influence of gender identity and body image on weight concern, behaviours, and perception were analysed using reflexive thematic analysis. Nine themes were created to describe participants' experiences: (1) compensation for other internalised stigma, (2) to suppress body parts that can be gendered or sexualised, (3) comparisons to romantic partners' bodies, (4) media representations, (5) queer signalling, (6) queerness as protective, (7) gender expression and dysphoria, (8) societal expectations of women's bodies, and (9) internalisation of body/beauty ideals. Seven sub-themes were created to represent beauty ideals for specific subcultural communities (e.g. femme, butch). Findings suggest that queer women attribute individual, interpersonal and social factors to weight concerns, behaviours and perceptions. Findings highlight how complex tensions between the beauty/body ideals experienced in cisheteronormative and queer spaces influence eating and weight concerns among queer women. Gender, sexual orientation and subcultural ideals intersect in important ways, and may be useful to consider when screening, treating and preventing eating and weight concerns among queer women.

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).

Baseline symptomatology and treatment outcomes of young adults in a virtual versus in-person partial hospitalization and intensive outpatient program for eating disorders.

OBJECTIVE: The COVID-19 pandemic resulted in a shift from traditional, in-person treatment to virtual treatment for eating disorders (EDs), with little knowledge about the relative efficacy of virtual formats. METHOD: In the current study, we examined baseline symptomatology and treatment outcomes of young adults in our virtual partial hospitalization and intensive outpatient program (PHP/IOP) for EDs, implemented shortly after the onset of the COVID-19 pandemic. We investigated outcomes on body mass index, ED symptoms, anxiety, ED-related clinical impairment, and emotion regulation. RESULTS: We found significant differences in ED symptomatology, ED-related clinical impairment, and difficulties with emotion regulation at admission between participants in the virtual and in-person versions of our PHP/IOP. Despite these differences, the results demonstrated that the degree of change from admission to discharge on these measures was comparable for both conditions. DISCUSSION: These findings suggest that PHPs and IOPs are relatively effective in a virtual format. Providing effective virtual options across various levels of care will improve access to specialized treatment for EDs. PUBLIC SIGNIFICANCE: (i) Participants in the virtual program reported less severe symptomatology at baseline, (ii) Participants in the virtual and in-person programs experienced similar improvements, (iii) Virtual programs may be an effective option for young adults with eating disorders.

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.

Eating Disorder Symptom and Fear Change Trajectories During Imaginal Exposure Therapy: A Slope Network Analysis.

Eating disorders (EDs) are characterized by fears related to food, body image, and social evaluation. Exposure-based interventions hold promise for targeting a range of ED fears and reducing ED psychopathology. We investigated change mechanisms and optimal fear targets in imaginal exposure therapy for EDs using a novel approach to network analysis. Individuals with an ED (N = 143) completed up to four online imaginal exposure sessions. Participants reported ED symptoms and fears at pretreatment, posttreatment, and 6-month follow-up. We constructed networks of symptoms (Model 1), fears (Model 2), and combined symptoms and fears (Model 3). Change trajectory networks from the slopes of symptoms/fears across timepoints were estimated to identify how change in specific ED symptoms/fears related to change in other ED symptoms/fears. The most central changing symptoms and fears were feeling fat, fear of weight gain, guilt about one's weight/shape, and feared concerns about consequences of eating. In Model 3, change in ED fears bridged to change in desire to lose weight, desiring a flat stomach, following food rules, concern about eating with others, and guilt. As slope networks present averages of symptom/fear change slopes over the course of imaginal exposure therapy, further studies are needed to examine causal relationships between symptom changes and heterogeneity of change trajectories. Fears of weight gain and consequences of eating may be optimal targets for ED exposure therapy, as changes in these fears were associated with maximal change in ED pathology. Slope networks may elucidate change mechanisms for EDs and other psychiatric illnesses.

Digital Mental Health Interventions: Differences in Diet Culture Intervention Framing.

Diet culture is a societal norm that ranks thin bodies as superior to other body types and has been associated with negative outcomes, such as eating disorders. Wellness has evolved into a term that is often used to promote diet culture messages. One possible way to combat diet culture is through single-session, digital mental health interventions (DMHIs), which allow for increased access to brief public health treatments. The framing of DMHIs is critical to ensure that the target population is reached. Participants (N = 397) were enrolled in a single-session DMHI, which was framed as either a Diet Culture Intervention (n = 201) or a Wellness Resource (n = 196). Baseline group differences in eating disorder pathology, body image, weight stigma concerns, fat acceptance, and demographic characteristics were analyzed. Across groups, participants reported moderately high eating disorder pathology, low-to-moderate levels of body dissatisfaction, moderate levels of fat acceptance, and either very low or very high weight stigma concerns. Participants in the Diet Culture Intervention group reported higher levels of fat acceptance than those in the Wellness Resource group (p < 0.001). No other framing group differences were identified, though post hoc analyses revealed differences based on recruitment source (i.e., social media versus undergraduate research portal). This study found that framing a DMHI as targeting diet culture or as a Wellness Resource can result in the successful recruitment of individuals at risk of disordered eating. Framing a DMHI as a Wellness Resource may increase recruitment of individuals with low levels of fat acceptance, which may be particularly important for dismantling diet culture, disordered eating, and weight stigma concerns. Future research should assess DMHI framing in other populations, such as men and adolescents.

The structure of eating disorder and somatic symptoms.

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

Rumination & eating psychopathology among trans and nonbinary individuals: A path analysis integrating minority stress.

Ruminative thought patterns, defined as repetitive negative self-focused attention, are considered an avoidant coping strategy for managing stress. As trans and nonbinary (TNB) individuals commonly experience prejudice and discrimination in response to their gender identities (i.e. minority stressors), rumination over these stressors may contribute to heightened risk of psychopathology in these groups. Although rumination is a general risk factor for eating disorder (ED) psychopathology, no studies to date have examined whether eating- or gender-related ruminative patterns relate to maintenance of ED psychopathology for TNB individuals. This cross-sectional study investigated whether levels of rumination (both gender-related and ED-specific) mediated the relationship between minority stress and ED psychopathology. METHOD: Participants were 242 TNB adults (Mage = 24.92, SD = 6.5, Range = 18-70) recruited online, who completed measures of minority stress, gender-related rumination, ED-specific rumination, and ED psychopathology. We used Preacher-Hayes' approach to examine the parallel mediation model, with gender-related and ED-specific rumination as potential mediators. RESULTS: Gender-related rumination did not mediate the relation between gender minority stress and ED psychopathology, Indirect B = -0.00 [95% BCa CI: -0.01, 0.00]; however, ED-specific rumination was significant, indicating partial mediation, Indirect B = 0.01 [95% BCa CI: 0.00, 0.02]. CONCLUSION: As gender minority stress and ED-specific rumination relate to ED psychopathology, it is essential that clinicians adopt an intersectional minority stress framework in understanding ED psychopathology among TNB individuals.

"Having a non-normative body for me is about survival": Androgynous body ideal among trans and nonbinary individuals.

The present study focused on trans and nonbinary (TNB) individuals who have an androgynous or non-stereotypical body ideal, with attention to how their body ideal is conceptualized and maintained. Data were collected online from 76 TNB individuals. Based on responses to two open-ended prompts, a two-tiered analysis was conducted. First, thematic analysis was used to develop four central themes describing the way TNB individuals conceptualized their androgynous body ideal: 1) Attaining Neutrality and De-Categorizing Gender; 2) Disaggregating Gender Expression; 3) Managing Gender Dysphoria; and 4) Achieving Authenticity. Second, content analysis was used to document 12 behaviors engaged in or actions taken for the purpose of approaching or maintaining an androgynous or non-stereotypical body ideal. These were grouped into 3 main categories: gender expression (clothes, hair, make-up, body modifications), body shape (weight, muscularity, eating/diet), and sex characteristics (hormone therapy, body hair, vocal, chest, genitals). Results of the present study expand the current body ideal literature by including TNB narratives and by focusing specifically on the ways an androgynous body ideal is conceptualized and maintained. Research and clinical implications are discussed.

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

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

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

BACKGROUND: Internalized sociocultural standards of attractiveness are a risk factor repeatedly linked to eating disorders; however, many nonbinary individuals do not conform to these standards. PURPOSE: This study investigated the body checking behaviors and eating disorder pathology among nonbinary individuals with androgynous appearance ideals. METHODS: Participants (n = 194) completed an online survey assessing body checking behaviors, body appreciation, gender congruence, and eating disorder pathology RESULTS: Body checking predicted eating disorder pathology, and body image significantly improved the model. Gender congruence did not additional variance in predicting eating pathology CONCLUSION: Though gender congruence was not a significant predictor of eating pathology, content analysis revealed unique body behaviors specific to nonbinary individuals' gender identity and gender expression. Clinical implications include expanding perceptions of eating disorder presentation when working with nonbinary individuals with androgynous appearance ideals. LEVEL OF EVIDENCE: Level V, cross-sectional descriptive study.