Behaviourally assessed negative urgency is uniquely associated with binge-eating frequency.

OBJECTIVE: Binge eating appears to be associated with impulsivity, especially in response to negative affect (i.e., negative urgency). However, negative urgency is typically assessed via self-report, which captures only some aspects of urgency and may be subject to bias. Few studies have examined impulsivity following experimental manipulations of affect in binge-eating samples. METHOD: In the present study, individuals who engage in regular binge eating completed a behavioural impulsivity (go/no-go) task with high- and low-calorie food stimuli, once following negative affect induction and once following neutral affect induction. RESULTS: Greater behavioural impulsivity to high-calorie food cues while in a negative (and not a neutral) affective state was associated with more frequent binge-eating behaviour. Further, this behavioural measure of negative urgency uniquely accounted for variance in binge-eating frequency when controlling for self-reported negative urgency, suggesting that behavioural measures may be a useful complement to self-report measures. DISCUSSION: These findings provide novel and compelling evidence for the relationship between negative urgency and binge eating, highlighting negative urgency as a potentially important target for intervention.

Trajectory Modeling and Response Prediction in Transcranial Magnetic Stimulation for Depression.

Repetitive transcranial magnetic stimulation (rTMS) therapy could be improved by better and earlier prediction of response. Latent class mixture (LCMM) and non-linear mixed effects (NLME) modelling have been applied to model the trajectories of antidepressant response (or non-response) to TMS, but it is not known whether such models can predict clinical outcomes. We compared LCMM and NLME approaches to model the antidepressant response to TMS in a naturalistic sample of 238 patients receiving rTMS for treatment resistant depression (TRD), across multiple coils and protocols. We then compared the predictive power of those models. LCMM trajectories were influenced largely by baseline symptom severity, but baseline symptoms provided little predictive power for later antidepressant response. Rather, the optimal LCMM model was a nonlinear two-class model that accounted for baseline symptoms. This model accurately predicted patient response at 4 weeks of treatment (AUC = 0.70, 95% CI = [0.52-0.87]), but not before. NLME offered slightly improved predictive performance at 4 weeks of treatment (AUC = 0.76, 95% CI = [0.58 - 0.94], but likewise, not before. In showing the predictive validity of these approaches to model response trajectories to rTMS, we provided preliminary evidence that trajectory modeling could be used to guide future treatment decisions.

Validation of a laboratory craving assessment and evaluation of 4 different interventions on cravings among adults with overweight or obesity.

Food cue reactivity (FCR) is an appetitive trait associated with overeating and weight gain. We developed a laboratory craving assessment to objectively evaluate cognitive aspects of FCR. This study examined the preliminary construct and criterion validity of this craving assessment and evaluated 4 different interventions, 2 of which incorporated cue-exposure treatment for food, on craving over treatment and follow-up. 271 treatment-seeking adults with overweight/obesity (body mass index = 34.6[5.2]; age = 46.5[11.8]; 81.2% female; 61.6% non-Latinx White) completed the Food Cue Responsivity Scale and the laboratory craving assessment, during which they alternated holding and smelling a highly craved food and provided craving ratings over 5 min. Participants were subsequently randomized to 26 treatment sessions over 12-months of ROC, Behavioral Weight Loss (BWL), a combined arm (ROC+) and an active comparator (AC), and repeated the craving assessment at post-treatment and 12-month follow-up. Linear mixed-effects models assessed associations between trial type (holding vs. smelling), trial number, pre-treatment FCR, treatment arm, assessment time point, and craving. Cravings were greater when smelling vs. holding food (b = 0.31, p < 0.001), and cravings decreased over time (b = -0.02, p < 0.001). Participants with higher pre-treatment FCR reported elevated cravings (b = 0.29, p < 0.001). Longitudinally, we observed a significant 3-way interaction in which treatment arm modified the relationship between pre-treatment FCR and craving over time (F(17,5122) = 6.88, p < 0.001). An attenuated FCR-craving relationship was observed in ROC+ and BWL from baseline to post-treatment but was only sustained in BWL at follow-up. This attenuation was also observed in ROC and AC from post-treatment to follow-up. The preliminary validity of this laboratory craving assessment was supported; however, greater craving reductions over time in ROC/ROC+ compared to BWL and AC were not consistently observed, and thus do not appear to fully account for the moderating effect of FCR on weight losses observed in the trial.

Screening for eating disorders in adolescents with chronic pain: the Eating Attitudes Test-16-Chronic Pain.

BACKGROUND: Few measures have been validated to screen for eating disorders (ED) in youth with chronic pain. We conducted confirmatory (CFA) of two established factor structures of the Eating Attitudes Test-26 (EAT-26) in a sample of youth with chronic pain attending an intensive interdisciplinary pain treatment (IIPT) program and examined the validity of the best-fitting model in predicting ED diagnoses in this sample. METHODS: Participants were 880 adolescents (M age = 16.1, SD = 2.1) consecutively admitted into an IIPT program who completed the EAT-26 upon admission. CFA was conducted and in the case of inadequate fit, EFA was planned to identify alternative models. Factors of the best-fitting model were included in a logistic regression analysis to predict ED diagnoses. RESULTS: The TLIs (0.70; 0.90), RMSEAs (0.09; 0.07) and CFIs (0.73; 0.92) suggested poor fit of one model and adequate of the second model. Goodness of fit indices from EFA (TLI:0.85, RMSEA:0.06) did not outperform the fit of the second CFA. As such, the second model was retained with the exception of one factor. The items loaded onto a 16-item, five factor model: Fear of Getting Fat, Social Pressure to Gain Weight, Eating-Related Control, Eating-Related Guilt and Food Preoccupation. Based on chart review, 19.1% of the participants were diagnosed with an eating disorder. Logistic regression analyses indicated the new 16-item measure and Fear of Getting Fat, significantly predicted an ED diagnosis that did not include avoidant restrictive food intake disorder (ARFID) and Social Pressure to Gain Weight significantly predicted a diagnosis of ARFID. CONCLUSIONS: An alternative 16-item, 5-factor structure of the EAT-26 should be considered in screening for EDs with youth with chronic pain.

An examination of state and trait urgency in individuals with binge-eating disorder.

OBJECTIVE: Negative urgency (i.e., acting rashly when experiencing negative affect; NU), is a theorised maintenance factor in binge-eating type eating disorders. This study examined the association between trait NU and eating disorder severity, momentary changes in state NU surrounding episodes of binge eating, and the momentary mechanistic link between affect, rash action, and binge-eating risk. METHODS: Participants were 112 individuals with binge-eating disorder (BED). Baseline measures included the UPPS-P Impulsive Behaviour Scale to assess trait NU and the Eating Disorders Examination to assess binge-eating frequency and global eating disorder severity. Ecological momentary assessment captured real-time data on binge eating, negative affect, and state NU. RESULTS: Multiple regression analysis revealed a strong association between trait NU and eating disorder severity. Generalised estimating equations showed that state NU increased before and decreased after binge-eating episodes, and that this pattern was not moderated by trait-level NU. Finally, a multilevel structural equation model indicated that increases in rash action mediated the momentary relationship between states of high negative affect and episodes of binge eating. CONCLUSION: These findings underscore the importance of both trait and state NU in binge-eating type eating disorders, and suggest NU as a potential key target for intervention.

Exploring relationships among appetitive traits, negative affect, and binge eating in adults with overweight or obesity.

Binge eating (BE) is a significant public health concern due to its prevalence and impact on mental and physical health. While research has suggested both negative affect and appetitive traits are associated with BE, few studies have investigated these constructs concurrently. Structural equation modeling (SEM) evaluated relationships between negative affect, reward-related appetitive traits, and BE among 293 adults with overweight or obesity (OW/OB) seeking treatment for BE, overeating, and weight management (m age = 46.6; m body mass index[BMI] = 34.5; 81.2 % female; 20.1 % Latinx, 60.8 % White non-Latinx). BE was related to negative affect (ß = 0.53; p < 0.01) and appetitive traits (ß = 1.53; p < 0.001). Negative affect and appetitive traits were related to one another (r = 0.42; p < 0.001), and the full model accounted for 77 % of the variance in BE. In an exploratory follow-up analysis, multigroup SEM evaluated the above relationships in models stratified by sex. Exploratory findings demonstrated both negative affect and appetitive traits were related to BE across sex, particularly when examining BE cognitions and behaviors. However, relationships in men depended upon BE assessment tool. These findings highlight that both negative affect and appetitive traits are related to BE, and jointly may represent significant risk and maintenance factors, particularly in adults with OW/OB. Our findings also highlight the importance of future investigation of sex differences in BE and the potential impact of assessment method.

Changes in evening-shifted loss of control eating severity following treatment for binge-eating disorder.

BACKGROUND: Loss of control eating is more likely to occur in the evening and is uniquely associated with distress. No studies have examined the effect of treatment on within-day timing of loss of control eating severity. We examined whether time of day differentially predicted loss of control eating severity at baseline (i.e. pretreatment), end-of-treatment, and 6-month follow-up for individuals with binge-eating disorder (BED), hypothesizing that loss of control eating severity would increase throughout the day pretreatment and that this pattern would be less pronounced following treatment. We explored differential treatment effects of cognitive-behavioral guided self-help (CBTgsh) and Integrative Cognitive-Affective Therapy (ICAT). METHODS: Individuals with BED (N = 112) were randomized to receive CBTgsh or ICAT and completed a 1-week ecological momentary assessment protocol at baseline, end-of-treatment, and 6-month follow-up to assess loss of control eating severity. We used multilevel models to assess within-day slope trajectories of loss of control eating severity across assessment periods and treatment type. RESULTS: Within-day increases in loss of control eating severity were reduced at end-of-treatment and 6-month follow-up relative to baseline. Evening acceleration of loss of control eating severity was greater at 6-month follow-up relative to end-of-treatment. Within-day increases in loss of control severity did not differ between treatments at end-of-treatment; however, evening loss of control severity intensified for individuals who received CBTgsh relative to those who received ICAT at 6-month follow-up. CONCLUSIONS: Findings suggest that treatment reduces evening-shifted loss of control eating severity, and that this effect may be more durable following ICAT relative to CBTgsh.

Optimizing treatment environments for trait sensitivity in eating disorders.

Research has identified trait sensitivity as a potential risk factor and treatment target of eating disorders. Conceptualizations of trait sensitivity have depicted individuals with high and low trait sensitivity metaphorically as orchids and dandelions, highlighting their responsiveness to environmental conditions and associated outcomes. While orchids require careful tending to survive, with such care, they emerge extraordinary. In contrast, dandelions can survive a broad range of environmental conditions. Within a scientific framework, trait sensitivity can be conceptualized as neurobiologically-based, with heightened sensory, interoceptive, interpersonal, and emotional processing. While trait sensitivity may increase susceptibility to eating disorders, when therapists view these traits through the lens of environmental responsiveness, they can facilitate their client's inherent resilience and potential. Incorporating a model of trait sensitivity into eating disorders treatment using psychoeducation, modifying environmental stimuli, and selecting optimal interventions has the potential to increase treatment engagement, deepen therapeutic collaboration, and improve outcomes.

Appetitive and psychological phenotypes of pediatric patients with obesity.

BACKGROUND: Obesity is a heterogeneous disease with variable treatment response. Identification of the unique constellation of contributors to obesity may allow for targeted interventions and improved outcomes. OBJECTIVE: Identify empirically derived phenotypes of pediatric patients with obesity based on appetitive and psychological correlates of obesity. METHODS: This cross-sectional study included patients aged 5-12 years who were treated in a weight management clinic and completed standard intake questionnaires including Child Eating Behavior Questionnaire (CEBQ), Vanderbilt ADHD Scale and Pediatric Symptom Checklist. Phenotypes were elicited using latent profile analysis of 12 indicators: eight CEBQ subscales, inattention, hyperactivity/impulsivity, internalizing and externalizing symptoms. RESULTS: Parents/guardians of 384 patients (mean age 9.8 years, mean BMI 30.3 kg/m2 ) completed the intake questionnaires. A 4-phenotype model best fits the data. Hedonic Impulsive phenotype (42.5%) exhibited high food enjoyment and hyperactivity/impulsivity. Inattentive Impulsive phenotype (27.4%) exhibited overall low food approach and high food avoid behaviours, and highest inattention. Hedonic Emotional phenotype (20.8%) scored the highest on food enjoyment, internalizing and externalizing symptoms. Picky Eating phenotype (9.3%) scored the lowest on food approach, inattention, hyperactivity/impulsivity, internalizing and externalizing symptoms. CONCLUSION: Appetitive traits and psychological symptoms appear to cluster in distinct patterns, giving rise to four unique phenotypic profiles, which, if replicated, may help inform the development of tailored treatment plans.

Industrial athletes, relative energy deficit in occupation, and equitable eating disorder treatment and recovery.

OBJECTIVE: This paper highlights the gap in understanding and meeting the needs of individuals with eating disorders (EDs) who are engaged in manual labor and proposes a novel solution for meeting those needs. METHODS: In this paper, we describe the rationale, considerations, and opportunities for research and practice that can be adapted and created to meet the needs of individuals with EDs who are engaged in manual labor, a group that may be underserved by current methods for treating EDs. We highlight the potential utility of the industrial athlete (IA) framework for this population, propose the term Relative Energy Deficit in Occupation ("RED-O"), and describe the potential applications of this framework and term for research, treatment, and public health promotion for EDs among individuals engaged in manual labor. RESULTS: The IA framework and RED-O provide opportunities to address the unique needs of individuals with EDs who are also engaged in manual labor and who are disproportionately of low socioeconomic status through new and adapted research and clinical applications as well as advocacy and public health promotion. DISCUSSION: Equitable recovery for people with EDs requires the ability to engage in activities necessary for occupational functioning, including the physical capacity necessary to participate fully in their work. As access to treatment increases, it is imperative that the needs of IAs are adequately addressed, especially those who are of lower socioeconomic status. PUBLIC SIGNIFICANCE: The industrial athlete and relative energy deficit in occupation (RED-O) frameworks will enhance opportunities for identification and treatment of underserved and disadvantaged populations with eating disorders and reduce public health burden of eating disorders.

Eating Disorder Examination-Questionnaire: Norms for Adults in Higher Levels of Care.

Establishing normative data for questionnaires is essential for the accurate interpretation of scores, given that these norms can vary according to different subpopulations and treatment contexts. The purpose of this study was to establish norms for the Eating Disorder Examination-Questionnaire (EDE-Q) among adults receiving higher levels of care (HLOCs) for the treatment of eating disorders. Participants were 2,283 people receiving treatment at the inpatient, residential, partial hospitalization, or intensive outpatient levels of care. The EDE-Q was completed at admission. Patients with anorexia nervosa-restricting subtype (AN-R) had the lowest EDE-Q Global scores when compared with all other eating disorder diagnoses. When compared with intensive outpatient care, only those in residential treatment had higher EDE-Q Global scores. This study is among the first to describe norms for the EDE-Q in a large sample of adults receiving various HLOCs. Programs utilizing the EDE-Q to assess treatment outcomes can use these findings to aid people in interpreting their scores.

Evaluating dietary restriction as a maintaining factor in binge-eating disorder.

OBJECTIVE: Prominent theories of binge-eating (BE) maintenance highlight dietary restriction as a key precipitant of BE episodes. Consequently, treatment approaches for eating disorders (including binge-eating disorder; BED) seek to reduce dietary restriction in order to improve BE symptoms. The present study tested the hypothesis that dietary restriction promotes BE among 112 individuals with BED. METHODS: Participants completed a 7-day ecological momentary assessment (EMA) protocol before and after completing 17 weeks of either Integrative Cognitive-Affective Therapy or guided self-help cognitive behavioral therapy. Analyses examined whether dietary restriction on 1 day of the baseline EMA protocol predicted risk for BE later that same day, and on the following day. Changes in dietary restriction over the course of treatment were also evaluated as a predictor of change in BE from pre-treatment to post-treatment. Baseline dietary restraint was examined as a moderator of the above associations. RESULTS: Dietary restriction did not predict BE later the same day, and changes in restriction were not related to changes in BE across treatment, regardless of baseline dietary restraint levels. Restriction on 1 day did predict increased BE risk on the following day for individuals with higher levels of dietary restraint, but not those with lower levels. DISCUSSION: These findings challenge the assumption that dietary restriction maintains BE among all individuals with BED. Rather, results suggest that dietary restriction may be largely unrelated to BE maintenance in this population, and that reducing dietary restriction generally does not have the intended effect on BE frequency.

A randomized, controlled pilot study of positive affect treatment adapted for anorexia nervosa.

OBJECTIVE: Novel treatments for adults with anorexia nervosa (AN) are sorely needed. Although psychological interventions have been developed for AN, none have been identified as superior to one another or nonspecific treatments. Common comorbidities (e.g., mood and anxiety disorders) are rarely targeted in AN treatments, possibly impairing long-term clinical improvement. AN is associated with reward processing dysfunctions paralleling those identified in affective disorders; however, few treatments directly target these processes. METHOD: We adapted Positive Affect Treatment, a neuroscience-informed behavioral treatment developed for affective disorders, to the treatment of AN (PAT-AN). Adults with AN (N = 20) were randomized to 20 weeks of PAT-AN or waitlist to investigate the feasibility, acceptability, preliminary efficacy, and target engagement (on reward mechanisms) of PAT-AN. RESULTS: PAT-AN demonstrated strong retention (100%) and acceptability ratings (M = 5.67-5.95 on a 7-point scale). BMI (p = .006) and eating disorder symptoms (p < .001) improved over PAT-AN sessions. The PAT-AN group showed medium to large pre-to-post-treatment improvements in BMI, eating disorder symptoms and impairment, depressive and anxiety symptoms, and some reward indices (ds = .56-.87); changes were largely sustained at 3-month follow-up. Waitlist showed negligible changes (ds < .20) on nearly all measures. DISCUSSION: PAT-AN holds promise as an innovative treatment with capability to simultaneously improve eating disorder symptoms, affective symptoms, and underlying reward mechanisms. Findings should be interpreted cautiously due to small sample size and permitted concurrent enrollment in other treatments. Future, larger-scale research is warranted to establish the efficacy of PAT-AN. PUBLIC SIGNIFICANCE: This study provided a preliminary evaluation of Positive Affect Treatment for anorexia nervosa (PAT-AN), a novel, neuroscience-informed treatment aimed at increasing rewarding life experiences outside of one's eating disorder. Initial results suggest that PAT-AN is considered acceptable and may alleviate eating disorder, depressive, and anxiety symptoms. Therefore, this study presents promising data on a treatment that may hold potential for improving the lives of individuals with this disorder.

Reduction in eating disorder symptoms among adults in different weight loss interventions.

Restriction of food intake and counting calories as part of weight loss programs are thought to trigger eating behaviors and attitudes which can lead to eating disorders. We have developed a treatment model, Regulation of Cues (ROC), that targets appetitive traits, including food responsiveness and satiety responsiveness, which could address overeating at an implicit level and reduce risk of detrimental behaviors and attitudes. This manuscript evaluates eating disorder symptoms, attitudes, and behaviors among adults with overweight or obesity randomized to ROC, behavioral weight loss (BWL), a combination of ROC + BWL (ROC+) and an active comparator (AC). Participants included 271 adults with a body mass index of 25 to 45, age 18 to 65 years, and a lack of comorbidities that could interfere with participation. Assessments occurred at baseline, mid-treatment (6 months), post-treatment (12-months) and 6- and 12-month follow-up. During treatment, participants in all four arms showed decreases in Eating, Weight, and Shape concerns on the Eating Disorder Examination-Questionnaire and binge eating symptoms on the Binge Eating Scale which were maintained at 6-month follow-up but increased at the 12-month follow-up. Both the ROC+ and BWL arms showed increases in Restraint during treatment which dissipated after treatment ended. This study contributes to a growing body of literature demonstrating that weight loss programs are not associated with increases in eating disorder symptoms. Future studies should evaluate interventions to maintain improvements in eating disorder symptoms following weight loss programs.

Causal discovery analysis: A promising tool in advancing precision medicine for eating disorders.

OBJECTIVE: Precision medicine (i.e., individually tailored treatments) represents an optimal goal for treating complex psychiatric disorders, including eating disorders. Within the eating disorders field, most treatment development efforts have been limited in their ability to identify individual-level models of eating disorder psychopathology and to develop and apply an individually tailored treatment for a given individual's personalized model of psychopathology. In addition, research is still needed to identify causal relationships within a given individual's model of eating disorder psychopathology. Addressing this limitation of the current state of precision medicine-related research in the field will allow us to progress toward advancing research and practice for eating disorders treatment. METHOD: We present a novel set of analytic tools, causal discovery analysis (CDA) methods, which can facilitate increasingly fine-grained, person-specific models of causal relations among cognitive, behavioral, and affective symptoms. RESULTS: CDA can advance the identification of an individual's causal model that maintains that individuals' eating disorder psychopathology. DISCUSSION: In the current article, we (1) introduce CDA methods as a set of promising analytic tools for developing precision medicine methods for eating disorders including the potential strengths and weaknesses of CDA, (2) provide recommendations for future studies utilizing this approach, and (3) outline the potential clinical implications of using CDA to generate personalized models of eating disorder psychopathology. PUBLIC SIGNIFICANCE STATEMENT: CDA provides a novel statistical approach for identifying causal relationships among variables of interest for a given individual. Person-specific causal models may offer a promising approach to individualized treatment planning and inform future personalized treatment development efforts for eating disorders.

Examining the role of craving in affect regulation models of binge eating: Evidence from an ecological momentary assessment study.

Affect regulation models hypothesize that aversive affective states drive binge-eating behavior, which serves to regulate unpleasant emotions. Research using ecological momentary assessment (EMA) demonstrates that increases in guilt most strongly predict subsequent binge-eating episodes, raising the question: why would individuals with binge-eating pathology engage in a binge-eating episode when they feel guilty? Food craving is a robust predictor of binge eating and is commonly associated with subsequent feelings of guilt. The current study used EMA to test the hypothesis that food craving may promote increased feelings of guilt, which then predict an increased risk of binge eating within a sample of 109 individuals with binge-eating disorder. Multilevel mediation models indicated that increased momentary craving at Time 1 directly predicted a greater likelihood of binge eating at Time 2, and craving also indirectly predicted binge eating at Time 2 through momentary increases in guilt at Time 2. In other words, experiencing food craving at one time point was related to an increased likelihood of binge eating at the next time point, and a portion of this influence was attributable to increasing feelings of guilt. These results challenge simple affect regulation models of binge eating, suggesting that food-related anticipatory reward processes (i.e., craving) may be the primary driver of binge-eating risk and account for the increases in guilt commonly observed prior to binge-eating episodes. Although experimental studies are needed to confirm this possibility, these results suggest the importance of addressing food cravings within interventions for binge-eating disorder. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Examining the momentary relationships between body checking and eating disorder symptoms in women with anorexia nervosa.

Body checking is common among individuals with anorexia nervosa (AN) and increases risk for dietary restriction. However, no study has examined whether body checking increases the immediate risk for engaging in other harmful weight loss behaviors, or whether this relationship is moderated by person-level traits. The current study utilized ecological momentary assessment (EMA) to examine whether (a) body checking predicted rapid use of weight loss behaviors, and (b) whether eating-related obsessionality/compulsivity moderated this relationship. Women with full or subthreshold anorexia nervosa (N = 118) completed a measure of eating-related obsessionality/compulsivity at baseline, followed by a 14-day EMA protocol during which they reported on body checking and weight loss behaviors (i.e., exercise, self-induced vomiting, laxative use, skipping meals, and increasing fluid intake). In a series of generalized linear mixed models, within-person effects indicated that momentary body checking significantly predicted subsequent meal skipping and using fluids to curb appetite. Between-person effects indicated that individuals who engage in more frequent body checking also engage in a higher frequency of self-induced vomiting, meal skipping, and use of fluids to curb appetite. An individual's degree of eating-related obsessionality/compulsivity did not moderate any of these relationships. Findings highlight body checking as an immediate precursor of dangerous weight loss behaviors among individuals with AN, and underscore the need for clinicians to address body checking during treatment.

Time-of-day and day-of-week patterns of binge eating and relevant psychological vulnerabilities in binge-eating disorder.

OBJECTIVE: The present study sought to characterize the temporal patterns of binge eating and theorized maintenance factors among individuals with binge-eating disorder (BED). METHOD: Ecological momentary assessment of 112 individuals and mixed-effects models were used to characterize the within- and between-day temporal patterns of eating behaviors (binge eating, loss of control only eating, and overeating only), positive and negative affect, emotion regulation difficulty, and food craving. RESULTS: Risk for binge eating and overeating only was highest around 5:30 p.m., with additional binge-eating peaks around 12:30 and 11:00 p.m. In contrast, loss of control eating without overeating was more likely to occur before 2:00 p.m. Risk for binge eating, loss of control only eating, and overeating only did not vary across days in the week. There was no consistent pattern of change in negative affect throughout the day, but it decreased slightly on the weekend. Positive affect showed a decrease in the evenings and a smaller decrease on the weekend. The within-day patterns of food craving, and to some extent emotion regulation difficulty, resembled the pattern of binge eating, with peaks around meal times and at the end of the night. DISCUSSION: Individuals with BED appear most susceptible to binge-eating around dinner time, with heightened risk also observed around lunch time and late evening, though the effects were generally small. These patterns appear to most strongly mimic fluctuations in craving and emotion dysregulation, although future research is needed to test the temporal relationships between these experiences directly. PUBLIC SIGNIFICANCE: It is unknown which times of the day and days of the week individuals with binge-eating disorder are most at risk for binge eating. By assessing binge-eating behaviors in the natural environment across the week, we found that individuals are most likely to binge in the evening, which corresponds to the times when they experience the strongest food craving and difficulty with regulating emotions.

Design of the CHARGE study: A randomized control trial evaluating a novel treatment for Veterans with binge eating disorder and overweight and obesity.

A large number of Veterans experience binge eating and overweight or obesity, which are associated with significant health and psychological consequences. The gold-standard program for the treatment of binge eating, Cognitive Behavioral Therapy (CBT), results in decreases in binge eating frequency but does not result in significant weight loss. We developed the Regulation of Cues (ROC) program to reduce overeating and binge eating through improvement in sensitivity to appetitive cues and decreased responsivity to external cues, an approach that has never been tested among Veterans. In this study, we combined ROC with energy restriction recommendations from behavioral weight loss (ROC+). This study is a 2-arm randomized controlled trial designed to evaluate the feasibility and acceptability of ROC+, and to compare the efficacy of ROC+ and CBT on reduction of binge eating, weight, and energy intake over 5-months of treatment and 6-month follow-up. Study recruitment completed in March 2022. One hundred and twenty-nine Veterans were randomized (mean age = 47.10 (sd = 11.3) years; 41% female, mean BMI = 34.8 (sd = 4.7); 33% Hispanic) and assessments were conducted at baseline, during treatment and at post-treatment. The final 6-month follow-ups will be completed in April 2023. Targeting novel mechanisms including sensitivity to internal cures and responsivity to external cues is critically important to improve binge eating and weight-loss programs among Veterans. Clinicaltrials.govNCT03678766.

Self-hate, dissociation, and suicidal behavior in bulimia nervosa.

BACKGROUND: Individuals with eating disorders (EDs) often struggle with markedly low self- esteem and are at risk for suicidal behavior. Dissociation and perceived burdensomeness are often cited as facilitators of suicidal outcomes. Specifically, perceived burdensomeness is comprised of self-hate and liability on others, although it remains unclear which variables most heavily influence suicidal behavior in EDs. METHODS: In a sample of 204 women with bulimia nervosa, the present study examined the potential impact of self-hate and dissociation on suicidal behavior. We hypothesized that suicidal behavior would be equally, and potentially more strongly, related to self-hate than dissociation. Regression analyses investigated the unique effects of these variables on suicidal behavior. RESULTS: Consistent with our hypothesis, a significant relationship emerged between self-hate and suicidal behavior (B = 0.262, SE = 0.081, p < .001, CIs = 0.035-0.110, R-squared =0.07) but not between dissociation and suicidal behavior (B = 0.010, SE = 0.007, p = .165, CIs = -0.389-2.26, R-squared =0.010). Additionally, when controlling for one another, both self-hate (B = 0.889, SE = 0.246, p < .001, CIs = 0.403-1.37) and capability for suicide (B = 0.233, SE = 0.080, p = .004, CIs = 0.076-0.391) were uniquely and independently associated with suicidal behavior. LIMITATIONS: Future work should include longitudinal analyses to understand temporal relationships among study variables. CONCLUSIONS: In sum, when considering suicidal outcomes, these findings support a view that highlights personal loathing rooted in self-hate rather than de-personalizing aspects of dissociation. Accordingly, self-hate may emerge as a particularly valuable target for treatment and suicide prevention in EDs.