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.

Appetitive and Aversive Motivation in Dysregulated Behaviors: A Meta-Analysis.

Appetitive and aversive motivation are prominent in theories of dysregulated behaviors. The authors conducted a meta-analysis of the association between individual differences in appetitive and aversive motivation and several dysregulated behaviors (i.e., alcohol use, marijuana use, tobacco use, binge eating, aggression, gambling, and nonsuicidal self-injury). Alcohol use (r = .17, k = 141), marijuana use (r = .13, k = 23), aggression (r = .22, k = 52), and gambling (r = .08, k = 55) were all significantly positively related to appetitive motivation. Binge eating (r = .28, k = 34) and self-injury (r = .17, k = 10) were significantly positively related to aversive motivation. Effect sizes were similar to the median effect size in personality research. Together, these results provide some evidence that some dysregulated behaviors are more correlated with approach motivation, whereas others are more correlated with aversive motivation, which may indicate distinct etiological pathways.

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.

Binge Eating, Purging, and Restriction Symptoms: Increasing Accuracy of Prediction Using Machine Learning.

Eating disorders are severe mental illnesses characterized by the hallmark behaviors of binge eating, restriction, and purging. These disordered eating behaviors carry extreme impairment and medical complications, regardless of eating disorder diagnosis. Despite the importance of these disordered behaviors to every eating disorder diagnosis, our current models are not able to accurately predict behavior occurrence. The current study utilized machine learning to develop longitudinal predictive models of binge eating, purging, and restriction in an eating disorder sample (N = 60) using real-time intensive longitudinal data. Participants completed four daily assessments of eating disorder symptoms and emotions for 25 days on a smartphone (total data points per participant = 100). Using data, we were able to compute highly accurate prediction models for binge eating, restriction, and purging (.76-.96 accuracy). The ability to accurately predict the occurrence of binge eating, restriction, and purging has crucial implications for the development of preventative interventions for the eating disorders. Machine learning models may be able to accurately predict onset of problematic psychiatric behaviors leading to preventative interventions designed to disrupt engagement in such behaviors.

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).

The downside of being openminded: The positive relation between openness to experience and nonsuicidal self-injury.

BACKGROUND: Sensation seeking and openness are two distinct, but related, individual differences that lead individuals to seek out intense sensations. As a result, these traits may also predispose individuals toward engaging in non-suicidal self-injury (NSSI); however, to date, no models have examined the relation between openness and NSSI after accounting for the influence of sensation. METHOD: The goals of this study were to (1) examine the relation between openness and NSSI while accounting for sensation seeking in a sample of racially diverse undergraduates (N = 340) and (2) conduct a meta-analysis of the existing research on the association between NSSI and openness. RESULTS: A negative binomial regression model demonstrated a significant positive association between NSSI and openness when accounting for sensation seeking; however, NSSI was not significantly related to sensation seeking. Moreover, multivariate meta-analysis with robust variance revealed a small, but significant, association between NSSI and openness across 15 studies. CONCLUSION: Together, these results suggest a positive association between openness and NSSI, highlighting an area for future research in what role openness to experience might play in the development of NSSI.

Identifying Central Symptoms and Bridge Pathways Between Autism Spectrum Disorder Traits and Suicidality Within an Active Duty Sample.

OBJECTIVE: This study employed network analysis to characterize central autism spectrum disorder (ASD) traits and suicide symptoms within an active duty military sample as well as to identify symptoms that may bridge between ASD traits and suicidality (i.e., suicidal ideation and behaviors). METHOD: Participants were active duty U.S. military service members (N = 287). Autism spectrum traits, suicidality, depression, and suicide related constructs were assessed online via self-report. RESULTS: Within the combined ASD trait-suicidality network, suicide rumination, suicide behaviors, and depression had the highest strength centrality. The most central bridge symptoms between ASD and suicidality were thwarted belongingness, social skills deficits, and depressive symptoms. CONCLUSIONS: Social skills deficits and thwarted belongingness may function as a meaningful bridge between ASD symptoms and suicidality within active duty members. Individuals with ASD symptoms who additionally present with high levels of thwarted belongingness and/or considerable social skills deficits may be at increased risk for suicidality.HIGHLIGHTSWithin an ASD-suicidality network, social skills deficits, low belonging, and depression had the greatest bridge strength.Although low belonging emerged as a bridge symptom, perceived burdensomeness did not.Suicide rumination, suicide behaviors, and depression were the most central symptom in an ASD-suicidality network.Symptoms related to social skills deficits may connect ASD traits and suicidality.

Weight status is associated with clinical characteristics among individuals with bulimia nervosa.

Recent studies have found increasing rates of overweight and obesity in bulimia nervosa (BN). However, the relationships between body mass index (BMI) and BN symptoms and other clinically relevant constructs are unknown. Participants (N = 152 adults with BN) were assigned to three groups by BMI: group with no overweight or obesity (NOW-BN; BMI <25; N = 32), group with overweight (OW-BN; BMI ≥25 and <30; N = 66), and group with obesity (O-BN; BMI ≥30; N = 54). We compared the groups on demographics, diet and weight histories, body esteem, BN symptoms, and depression using chi square, analysis of variance, analysis of covariance, and Poisson regression models. The O-BN group was older (d = 0.57) and OW-BN and O-BN groups had greater proportions of race/ethnic minorities than NOW-BN group. The O-BN group was significantly younger at first diet (d = 0.41) and demonstrated significantly higher cognitive dietary restraint (d = 0.31). Compared to NOW-BN, O-BN participants had lower incidence of objective binge eating (incidence rate ratio [IRR] = 4.86) and driven exercise (IRR = 7.13), and greater incidence of vomiting (IRR = 9.30), laxative misuse (IRR = 4.01), and diuretic misuse (d = 2.08). O-BN participants also experienced higher shape (d = 0.41) and weight (d = 0.42) concerns than NOW-BN and OW-BN, although NOW-BN experienced higher shape (d = 0.44) and weight (d = 0.39) concerns than OW-BN. Groups did not differ on depression scores. These results were replicated when examining BMI as a continuous predictor across the full sample, with the exception of objective binge eating and driven exercise, which were not significantly associated with BMI. Individuals with BN and comorbid obesity have distinct clinical characteristics. Existing interventions may need to be adapted to meet clinical needs of these individuals.

Incorporating social media and muscular ideal internalization into the tripartite influence model of body image: Towards a modern understanding of adolescent girls' body dissatisfaction.

The tripartite influence model stipulates that appearance pressures from three sources (family, peers, traditional media) lead adolescent girls to internalize a thin appearance ideal and engage in social appearance comparisons, resulting in body dissatisfaction (Thompson et al., 1999). Social media is a modern source of appearance pressure and, increasingly, adolescent girls desire an appearance that is both thin and muscular. The current study of U.S. adolescent girls (n = 543, Mage = 15.58, 49.17% Latina, 28.18% White, 8.66% Black, 7.55% Asian, 6.45% multiracial/another race/ethnicity) incorporates social media appearance pressures and muscular ideal internalization into the tripartite influence model using structural equation modeling. Findings provided support for this adapted model: family, peers, traditional media, and social media contributed to body dissatisfaction. All appearance pressure sources were associated with appearance esteem via thin ideal internalization. Peer and social media pressures were both related to greater muscular ideal internalization, which was not significantly associated with appearance esteem. Social media was the only source of pressure associated with appearance esteem through both thin ideal internalization and body comparison. Findings highlight adolescent girls' pressure to look both thin and muscular, as well as the role of social media as a prominent source of appearance socialization.

Reporting racial and ethnic diversity in eating disorder research over the past 20 years.

OBJECTIVE: Recent public awareness of racial and ethnic disparities has again brought to light issues of diversity, equity, and inclusion in the eating disorders field. However, empirical information on racial and ethnic representation in eating disorders research is limited, making it difficult to understand where improvements are needed. METHOD: This study reviewed all studies including human participants published in the International Journal of Eating Disorders in 2000, 2010, and 2020. Differences in likelihood of reporting race and ethnicity were calculated based on study year, location, and diagnostic categories. RESULTS: Out of 377 manuscripts, 45.2% reported information on the race and ethnicity of study participants. Studies conducted in the United States were more likely to report (128/173), and those conducted in Europe were less likely to report (5/61) on race and ethnicity than those conducted outside of those regions. Rates of reporting increased from 2000 to 2020. White participants made up approximately 70% of the samples that reported race and ethnicity data. Hispanic participants made up approximately 10% of samples reporting race and ethnicity. Participants from all other races and ethnicities made up less than 5% each. DISCUSSION: Although rates of reporting race and ethnicity increased over time, most participants were White. Rates of reporting also differed by the geographical region, which may reflect variability in how information on race and ethnicity is collected across countries. More attention toward capturing the cultural background of research participants and more inclusivity in research are needed in the eating disorders field.

Longitudinal group and individual networks of eating disorder symptoms in individuals diagnosed with an eating disorder.

Eating disorders (EDs) are serious psychiatric illnesses with high mortality and societal cost. Despite their severity, there are few evidence-based treatments, and only 50% of individuals respond to existing treatments. This low response rate may be due to the fact that EDs are highly heterogeneous disorders. Precision treatments are needed that can intervene on individual maintenance factors. The first step in such treatment development is identification of central treatment targets, both at the group (i.e., on average) and individual level. The current study (N = 102 individuals with an ED) utilized intensive longitudinal data to model several types of group-level and individual network models. Overall, we identified several group-level central symptoms, with the most common central symptoms of fear of weight gain, desire for thinness, feeling like one is overeating, thinking about dieting, and feeling guilty. We also found that these symptoms, specifically fear of weight gain, a desire to be thinner, thinking about dieting, feeling like one is overeating, and feeling guilty, predicted ED severity at a 1- and 6-month follow-up. We modeled 97 individual networks and found that central symptoms were highly heterogeneous, regardless of ED diagnosis. This work adds to the growing literature using intensive longitudinal data to model ED pathology and implicates fear of weight gain, thinking about dieting, and feelings of guilt as symptoms needing further treatment development work. Additionally, this work contributes essential knowledge on how group and individual network modeling can be used to conceptualize the maintenance of EDs on average and at the individual level. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Eating expectancies and hedonic hunger among individuals with bulimia-spectrum eating disorders who plan binge-eating episodes.

OBJECTIVE: Binge planning (BP; i.e., preparatory thoughts and actions to facilitate future binge-eating episodes) is hypothesized to distract individuals from negative affect and increase the salience of food. Thus, individuals who engage in BP may report greater positive eating expectancies (i.e., beliefs about the outcomes of eating) and hedonic hunger (i.e., desire to eat for pleasure), as BP may increase the likelihood of obtaining these expected outcomes; but empirical tests of this possibility are needed. METHOD: Prior to starting treatment, adults (N = 86) with bulimia-spectrum eating disorders were assessed for engagement in BP and self-reported on eating expectancies and hedonic hunger. RESULTS: Twenty-nine participants (33.7%) reported planning at least one binge-eating episode in the previous 28 days. Compared to individuals who did not report BP, individuals who reported BP had greater expectancies that eating would alleviate negative affect (t = -2.54, p = .013) and boredom (U = 503.50, p = .006). Groups did not differ on levels of hedonic hunger (t = -1.68, p = .096). DISCUSSION: These findings suggest that BP status is linked to expectancies that eating will reduce negative affect. However, more data are needed to determine the temporal relationships among eating expectancies, hedonic hunger and BP. TRIAL REGISTRATION NUMBERS: NCT02716831, NCT03673540.

Using individual networks to identify treatment targets for eating disorder treatment: a proof-of-concept study and initial data.

BACKGROUND: Eating disorders (EDs) are severe mental illnesses, with high morbidity, mortality, and societal burden. EDs are extremely heterogenous, and only 50% of patients currently respond to first-line treatments. Personalized and effective treatments for EDs are drastically needed. METHODS: The current study (N = 34 participants with an ED diagnosis collected throughout the United States) aimed to investigate best methods informing how to select personalized treatment targets utilizing idiographic network analysis, which could then be used for evidence based personalized treatment development. We present initial data collected via experience sampling (i.e., ecological momentary assessment) over the course of 15 days, 5 times a day (75 total measurement points) that were used to select treatment targets for a personalized treatment for EDs. RESULTS: Overall, we found that treatment targets were highly variable, with less than 50% of individuals endorsing central symptoms related to weight and shape, consistent with current treatment response rates for treatments designed to target those symptoms. We also found that different aspects of selection methods (e.g., number of items, type of centrality measure) impacted treatment target selection. CONCLUSIONS: We discuss implications of these data, how to use idiographic network analysis to personalize treatment, and identify areas that need future research. TRIAL REGISTRATION: Clinicaltrials.gov, NCT04183894. Registered 3 December 2019-Retrospectively registered, https://clinicaltrials.gov/ct2/show/NCT04183894 . NCT04183894 (ClinicalTrials.gov identifier).

Eating disorders are severe psychiatric illnesses that carry high mortality, morbidity, and societal and personal burden. Treatments for eating disorders only work in 50% of patients, signifying a great need to improve treatments. One reason that treatments may not work, is because eating disorders vary substantially from one individual to the next, which existing treatments do not fully consider. The current study (N = 34 participants with an eating disorder diagnosis) uses a new modeling technique to identify which symptoms should be targeted in treatment in a personalized manner. As expected, we found that, using this modeling technique, symptoms that should be targeted in treatment vary considerably. We discuss how to use this modeling technique to identify individual treatment targets and ways in which the field can use this strategy to improve existing and create new treatments.

Self-Reported Interoceptive Sensibility Does Not Moderate the Relationship Between Eating Disorder Symptoms and Suicidal Thoughts and Behaviors.

Past research has demonstrated a strong relationship between eating disorders (EDs) and suicidality (i.e., suicidal thoughts, plans, and attempts), and preliminary work within the framework of the interpersonal psychological theory of suicide (Joiner, 2007) suggests that potentially painful ED behaviors (binge eating, purging, fasting, excessive exercise) may contribute to increased risk of suicide through heightened pain tolerance and increased capability of suicide. However, additional explanations are needed for why only some individuals with EDs actually engage in suicidal behaviors (i.e., attempt suicide), whereas others do not. A growing body of literature suggests that interoceptive deficits (a disconnection from one's own bodily sensations and emotions; IDs) might be a factor linking eating disorders and suicide. To better understand this relationship, the current study tests the moderating effects of self-reported IDs on the relations between ED behaviors and suicidality and past suicide attempts in a transdiagnostic ED sample (N = 181). We hypothesized that ED behaviors would directly relate to suicidality, but that IDs would moderate the relationship between ED behaviors and past suicide attempts, such that those high in IDs would demonstrate a stronger relationship between ED behaviors and suicide attempts. Contrary to our hypothesis, IDs did not moderate the relationship; instead, fasting and purging had significant and strong main effects on suicidality and past suicide attempts without moderation effects. Results suggest that fasting and purging may be important ED behaviors to consider in the relationship between EDs and suicidality. Future directions include further examining the relationship between IDs, suicidality, and EDs using measures of IDs that better encompass physical (as opposed to emotional) aspects of IDs.

Leveraging general risk surveillance to reduce suicide in early adolescents: Associations between suicidality, disordered eating, and other developmental risk factors.

OBJECTIVE: Suicide is a leading cause of death in early adolescents (i.e., children ages 11-14), underscoring the need for a more complex understanding of suicidality in youth. Syndemics framework posits that the overlap of multiple maladaptive behaviors (or risk factors) produces worse health outcomes compared to each behavior alone. The use of this framework in preventing suicide necessitates that identification of developmental risk factors that occur in tandem to suicide (e.g., disordered eating behaviors and substance use) may be important for intervening on those at greatest risk of suicide. METHOD: The present study uses latent class analysis (LCA) to evaluate the relationship between suicidality and disordered eating behaviors in early adolescence, and associations with other developmental risk factors in an epidemiological sample of middle school students (N = 3,811). RESULTS: Lifetime prevalence ranged from 6.8% to 18.2% for suicidality, and 5.3%-48.7% for disordered eating behavior. Our final model identified six independent classes, and each class had differential associations with several additional developmental risk factors. CONCLUSION: By pinpointing specific classes of individuals who may be at risk for multiple developmental risk factors, our results have important implications for public health intervention and prevention efforts for a wide range of adolescent risk behaviors, including suicidality.

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.

Latent profile analysis of impulsivity and perfectionism dimensions and associations with psychiatric symptoms.

BACKGROUND: Impulsivity and perfectionism are transdiagnostic personality factors that have been studied extensively and shown to relate to externalizing and internalizing pathology respectively. Typically, these personality factors are antithesized, with impulsivity characterized by lack of control and perfectionism characterized by rigid overcontrol. METHODS: The current study (N = 1,353 undergraduate students) used latent profile analysis to identify subgroups based on impulsivity and perfectionism dimensions and tested the relations of these subgroups with the symptomatology of ten prevalent types of psychopathology (depression, worry, social anxiety, attention-deficit hyperactivity disorder inattentive subtype, attention-deficit hyperactivity disorder impulsive-hyperactive subtype, alcohol use, obsessive-compulsive disorder, posttraumatic stress disorder, restrictive eating pathology, and binge eating pathology). RESULTS: The latent profile analysis identified four meaningful subgroups: high perfectionism, high impulsivity, combined impulsivity and perfectionism, and low impulsivity and perfectionism. The combined group was the most prevalent, comprising almost half of the sample. Further, the perfectionism group had the highest scores for obsessive-compulsive disorder, worry, and restrictive eating pathology, the impulsivity group had the highest scores for alcohol use disorder, and the combined group had the highest or second-highest scores across all types of psychopathology. LIMITATIONS: Limitations include the undergraduate sample, self-report, cross-sectional study design, and high bivariate residuals. CONCLUSIONS: These findings suggest impulsivity and perfectionism can co-occur. Further, the co-occurrence of these personality traits may heighten risk for psychopathology and help explain comorbidity across internalizing and externalizing disorders. Future research should continue to investigate the presentation, prevalence, and treatment for individuals high in both perfectionism and impulsivity.

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.

Comprehensive Cognitive-Behavioral Interventions Augment Diaphragmatic Breathing for Rumination Syndrome: A Proof-of-Concept Trial.

BACKGROUND: Rumination syndrome (RS) is often treated in medical settings with 1-2 sessions of diaphragmatic breathing to target reflexive abdominal wall contraction in response to conditioned cues (e.g., food). However, many patients remain symptomatic and require additional behavioral interventions. AIMS: In an attempt to augment diaphragmatic breathing with additional interventions, we tested the proof-of-concept of a comprehensive Cognitive-Behavioral Therapy (CBT) for RS. METHODS: In an uncontrolled trial, adults with RS completed a 5-8 session CBT protocol, delivered by one of two psychology behavioral health providers. CBT included two main phases: awareness training and diaphragmatic breathing (Phase 1) and modularized interventions chosen by the therapist and patient to target secondary maintenance mechanisms (Phase 2). At pre-treatment, post-treatment, and 3-month follow-up, participants completed a semi-structured interview on RS symptoms with an independent evaluator. RESULTS: Of 10 eligible individuals (ages 20-67 years, 50% female) offered treatment, all 10 initiated treatment and eight completed it. All participants endorsed high treatment credibility at Session 1. Permutation-based repeated measures ANOVA showed participants achieved large reductions in regurgitations across treatment [F(1,7) = 17.7, p = .007, η p2 = .69]. Although participants reduced regurgitations with diaphragmatic breathing during Phase 1, addition of other CBT strategies in Phase 2 produced further large reductions [F(1,7) = 6.3, p = .04, η p2 = .47]. Of eight treatment completers, treatment gains were maintained at 3-month follow-up for n = 6. CONCLUSIONS: Findings provide evidence of feasibility, acceptability, and proof-of-concept for a comprehensive CBT for RS that includes interventions in addition to diaphragmatic breathing to target secondary maintenance mechanisms. Randomized controlled trials are needed.