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Elevated glucose variability may be one mechanism that increases risk for significant psychological and physiological health conditions among individuals with binge-spectrum eating disorders (B-EDs), given the impact of eating disorder (ED) behaviors on blood glucose levels. This study aimed to characterize glucose variability among individuals with B-EDs compared with age-matched, sex-matched, and body mass index-matched controls, and investigate the association between frequency of ED behaviors and glucose variability.Participants were 52 individuals with B-EDs and 22 controls who wore continuous glucose monitors to measure blood glucose levels and completed ecological momentary assessment surveys to measure ED behaviors for 1 week. Independent samples t-tests compared individuals with B-EDs and controls and multiple linear regression models examined the association between ED behaviors and glucose variability.Individuals with B-EDs demonstrated numerically higher glucose variability than controls (t = 1.42, p = .08, d = 0.43), although this difference was not statistically significant. When controlling for covariates, frequency of ED behaviors was significantly, positively associated with glucose variability (t = 3.17, p = .003) with medium effect size (fGlucose variability among individuals with B-EDs appears to be positively associated with engagement in ED behaviors, particularly binge eating. Glucose variability may be an important mechanism by which adverse health outcomes occur at elevated rates in B-EDs and warrants future study.This study suggests that some individuals with binge ED and bulimia nervosa may experience elevated glucose variability, a physiological symptom that is linked to a number of adverse health consequences. The degree of elevation in glucose variability is positive associated with frequency of eating disorder behaviors, especially binge eating.

OBJECTIVE. Fear of weight gain (FOWG) is increasingly implicated in the maintenance of binge-spectrum eating disorders (EDs; e.g., bulimia nervosa (BN), binge eating disorder (BED)) through the pathway of increased dietary restriction. However, particularly in binge-spectrum EDs, research is nascent and based on retrospective self-report. To improve treatment outcomes, it is critical to better understand the momentary relations between FOWG and dietary restriction. METHOD. Sixty-seven adults with binge spectrum EDs completed a 7–14-day ecological momentary assessment protocol that included items regarding FOWG, ED behaviors, and types of dietary restriction (e.g., attempted restraint vs actual restriction) several times per day. Multilevel models were used to evaluate reciprocal associations between FOWG and dietary restriction, and to evaluate the indirect of effects of dietary restriction on the relation between FOWG and binge eating. RESULTS. While main effects were not statistically significant, ED presentation significantly moderated the association between increases in FOWG at time1 and both attempted and actual avoidance of enjoyable foods at time2 such that those with BN-spectrum EDs were more likely to avoid enjoyable foods following increased FOWG compared to those with BED-spectrum EDs. Engagement in restriction at time1 was not associated with decreased FOWG at time2. DISCUSSION. Prospective associations between FOWG and restriction suggest that individuals with BN may be more likely to restrict their eating following increased FOWG. These findings suggest FOWG may be an important target for future treatments.

PURPOSE: Maladaptive exercise (i.e., exercise that is either driven or compensatory) is thought to momentarily down-regulate elevated fear of weight gain (FOWG). However, little research has examined associations between FOWG and exercise, and no research has measured FOWG at a momentary level or considered exercise type (i.e., maladaptive vs. adaptive). Thus, we examined both within- and between-subject associations between FOWG and exercise among individuals with transdiagnostic binge eating. METHODS: We recruited treatment-seeking adults (N = 58, 82.9% female) to complete a 7–14-day ecological momentary assessment protocol which assessed levels of FOWG and exercise engagement and type. Mixed models and generalized estimating equations assessed within-subject associations, and linear regression assessed between-subject associations. RESULTS: There was no main effect of FOWG on exercise engagement at the next survey. However, unexpectedly, exercise type moderated this relationship such that the relationship between FOWG and exercise was strongest for episodes of adaptive exercise. Overall exercise frequency accounted for 10.4% of the variance in FOWG and exercise type explained an additional 1.7% of the variance in FOWG. CONCLUSION: The findings of the current study indicate that momentary levels of FOWG are associated with subsequent adaptive exercise episodes, while higher overall levels of maladaptive exercise were associated with higher levels of FOWG. Future treatments should place a greater emphasis on reducing the frequency of maladaptive exercise by providing strategies for reducing FOWG. LEVEL OF EVIDENCE: Level IV: Evidence obtained from multiple time series analysis such as case studies.

Purpose Loss of control eating (LOCE) is supported as a maladaptive regulation strategy for high negative affect (NA) and low positive affect (PA). Yet, little is known about the day-to-day activities outside of eating that may precipitate such changes in affect and impact risk for LOCE. The current ecological momentary assessment study sought to examine whether (1) low NA and high PA at a given survey would prospectively predict lower likelihood of a LOCE episode at the next survey, and (2) having recently engaged in various non-eating activities would be associated with changes in average NA and PA levels at the same survey. Methods Data collected from 66 participants with LOCE over 7–14 days were analyzed using generalized estimating equations. Results High NA but not low PA at a given survey prospectively predicted lower likelihood of a LOCE episode at the next survey. Having recently engaged in outdoor recreation and socializing was associated with lower than one’s usual NA and higher than one’s usual PA at the same survey, social media was associated with higher than one’s usual NA and lower than one’s usual PA, self-care was associated with higher than one’s usual PA, and napping was associated with lower than one’s usual PA. Conclusion Individuals may benefit from increasing the frequency of daily non-eating activities that reduce NA, since it appears to be a more salient predictor of LOCE than PA. Further research is needed to elucidate this LOCE maintenance model, particularly in regard to the role of PA. Level of evidence Level IV, multiple time series without intervention.

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.

Objective Although existing research supports the efficacy of mindfulness- and acceptance-based treatments (MABTs) for eating disorders (EDs), few studies have directly compared outcomes from MABTs to standard CBT. Method Participants (N = 44), treatment-seeking adults with bulimia-spectrum EDs, were screened for eligibility, consented, and randomized to receive 20 sessions of outpatient, individual CBT or MABT treatment. Treatment outcomes (binge eating and compensatory behavior episodes, global ED severity, depressive symptoms, quality of life, emotional awareness/clarity, distress tolerance, values-based decision-making, and emotion modulation) were measured at pre-treatment, post-treatment, and 6-month follow up. Data on feasibility and acceptability are also presented. Results Treatment and assessment retention rates were comparable between MABT and CBT (p range = .51-.73) and between-group differences on acceptability measures were very small (d range = 0.03-0.19). Both conditions produced notable and generally comparable changes in most treatment outcomes at post-treatment (within group d range = 0.06-1.77). Discussion The MABT and CBT conditions demonstrated comparable degrees of feasibility, acceptability, and symptom improvement, suggesting that MABTs warrant further evaluation as ED treatments.

OBJECTIVE: Existing screening tools are inadequate in differentiating binge eating from normative overeating in treatment-seeking individuals with overweight or obesity, as these individuals tend to overendorse loss-of-control (LOC; the hallmark characteristic of binge eating) on self-report measures. In order for treatment centers to efficiently and accurately identify individuals who would benefit from specialized treatment, it is critical to develop effective brief screening tools. This study examined the sensitivity and specificity of a self-report screener designed to be used by an outpatient treatment center on a large scale. METHODS: Participants were treatment-seeking individuals (N = 364) with overweight or obesity who were administered the screener and who completed a subsequent interview assessing for LOC and binge eating. RESULTS: Discriminant analyses revealed that the screener achieved 77.6% sensitivity and 77.0% specificity in predicting clinician-assessed LOC and 75.2% sensitivity and 74.1% specificity in predicting “full-threshold” binge eating (i.e., ≥12 objectively large binge-eating episodes within the past 3 months). Post hoc analyses indicated that male participants were more likely to be misclassified with the screener. CONCLUSIONS: The self-report screener demonstrated satisfactory predictive ability, which is notable given the challenges of discriminating between LOC and normative overeating. However, room for improvement remains. In particular, the inclusion of additional screener items that more fully capture the binge-eating experience in males is warranted.

PURPOSE: Black individuals are at risk for developing eating disorders (EDs), while also facing an increased mental health burden as a marginalized group. However, few studies have examined whether treatment-seeking Black individuals with EDs present with different symptom profiles than White individuals. This study sought to characterize baseline ED symptomatology in Black participants with bulimia nervosa spectrum or binge eating disorder spectrum pathology compared to White participants in a treatment-seeking sample. METHODS: The sample consisted of 33 Black participants and 126 White participants who participated in a clinical trial at a mid-Atlantic University from 2015 to 2020. Data was analyzed using chi-square and independent samples t-tests. RESULTS: Black participants were much less likely to engage in self-induced vomiting, despite being just as likely to meet criteria for a bulimia nervosa spectrum diagnosis and having similar rates of binge-eating and distress towards body image concerns. Black participants were more likely to experience obesity but maintained similar levels of body image concerns as White participants. CONCLUSION: Given the evidence that Black participants often are under-diagnosed, particularly with bulimia nervosa spectrum disorders, these results could suggest that weight biases and/or expectations that patients with bulimia nervosa spectrum disorders will primarily present with self-induced vomiting could be contributing to these diagnostic errors. LEVEL OF EVIDENCE: Level I, randomized controlled trials

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. 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. 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. 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 p 2 = .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 p 2 = .47]. Of eight treatment completers, treatment gains were maintained at 3-month follow-up for n = 6. 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.

Objective Although current treatments are effective for some patients with eating disorders, a large number of patients remain partially or fully symptomatic post-treatment. This may be related to poor utilization of treatment skills outside of the therapy office. Smartphone applications that can detect and intervene during moments of need could facilitate such skill use between sessions. Method Individuals (N = 16) participated in a small pilot open trial where they received 21 sessions of in-person Integrative Cognitive-Affective Therapy (ICAT) therapy an app (iCAT+) that delivers ecological momentary interventions (EMI) in response to user-entered data. Data were collected on the feasibility and acceptability of this treatment approach and on preliminary indicators of treatment outcomes. Results Participants found iCAT+ as a treatment augmentation acceptable and indicated it had clinical utility as an adjunct to in-person therapy, although analyses indicated poor compliance with data entry needed to trigger EMI delivery. This suggests that long-term use of EMI requiring ongoing data entry is infeasible. Conclusions We describe lessons learned from our initial pilot trial and future directions for the development of impactful EMI systems that can be used to augment in-person therapies.

A major contributor to the obesity epidemic is the overconsumption of high-calorie foods, which is partly governed by inhibitory control, that is, the ability to override pre-prepotent impulses and drives. Computerized inhibitory control trainings (ICTs) have demonstrated qualified success at affecting real-world health behaviors, and at improving weight loss, particularly when repeated frequently over an extended duration. It has been proposed that gamification (i.e., incorporating game-like elements such as a storyline, sounds, graphics, and rewards) might enhance participant interest and thus training compliance. Previous findings from a mostly female sample did support this hypothesis; however, it might be expected that the effects of gamification differ by gender such that men, who appear more motivated by gaming elements, stand to benefit more from gamification. The present study evaluated whether gender moderated the effect of a gamified ICT on weight loss. Seventy-six overweight individuals received a no-sugar-added dietary prescription and were randomized to 42 daily and 2 weekly ICTs focused on sweet foods that were either gamified or nongamified. Results supported the hypothesis that gamification elements had a positive effect on weight loss for men and not women (p = .03). However, mechanistic hypotheses for the moderating effect (in terms of enjoyment, compliance, and improvements in inhibitory control) were generally not supported (p’s > .20). These results suggest that gamification of ICTs may boost weight loss outcomes for men and not women, but further research is needed to determine the specific mechanisms driving this effect and to arrive at gamification elements that enhance effects for both men and women.

Outcomes from cognitive behavioral therapy (CBT) for bulimia nervosa (BN) and binge-eating disorder (BED) are suboptimal. One potential explanation is that CBT fails to adequately target inhibitory control (i.e., the ability to withhold an automatic response), which is a key maintenance factor for binge eating. Computerized inhibitory control training (ICT) is a promising method for improving inhibitory control but is relatively untested in BN/BED. The present study will evaluate a computer-based ICT as an adjunct to CBT for BN/BED. Participants with BN (n = 30) or BED (n = 30) will be randomized to 12 weeks of either CBT + ICT or CBT + a sham training. Trainings will be completed daily for 4 weeks and weekly for 8 weeks. Primary aims include the following: (a) confirm target engagement (evaluate whether ICT improves inhibitory control), (b) test target validation (evaluate whether improvements in inhibitory control are associated with improvements in binge eating), and (c) evaluate the incremental efficacy of ICT on binge eating. Secondary aims include the following: (a) evaluate ICT feasibility and acceptability and (b) assess the moderating effects of approach tendencies on highly palatable food, dietary restraint, and diagnosis. Data will be used to shape a fully powered clinical trial designed to assess efficacy and dose-response effects of ICT for BN/BED.

Objective Affect regulation, eating expectancies, and attention toward food-related cues are interrelated constructs that have been implicated in the maintenance of binge eating. While these processes show considerable temporal variability, the momentary associations between these domains have not been elucidated. This study examined a model that posited momentary fluctuations in affect, eating expectancies, and attention bias (AB) would interact to predict subsequent binge eating. Method Forty women who endorsed recurrent binge eating completed a 10-day ecological momentary assessment protocol with ambulatory measures of AB (i.e., dot-probe task with palatable food and neutral cues) and self-report assessments of positive and negative affect, eating expectancies (i.e., the belief that eating would improve one's mood), and binge-eating symptoms. Results Generalized linear mixed models indicated higher momentary AB toward palatable food was associated with increased risk of subsequent binge eating, and a two-way interaction showed that moments of higher eating expectancies and negative affect were associated with increased likelihood of subsequent binge eating. Also, a three-way interaction emerged, in that the association between eating expectancies and subsequent binge eating was strongest at lower levels of positive affect and higher AB. Discussion Together, findings partially supported hypotheses and demonstrate meaningful within-person fluctuations in AB that precede binge eating. Further, results demonstrate that the momentary influence of eating expectancies on binge eating depends on both affective state and attentional processes.

Sensor technologies offer exciting potential to objectively measure psychopathological correlates of eating pathology and eating disorder (ED) research utilizing sensors has rapidly proliferated in the past several years. The aims of the present review are: (1) characterize the types of sensors that have been utilized in ED research, (2) identify the psychopathological factors relevant to EDs that have been assessed using sensors, (3) describe the data supporting the validity and reliability of these sensors, (4) discuss limitations associated with these sensors, and (5) identify gaps that persist within the ED literature with regard to use of sensor technologies.A systematic search was conducted of PubMed, PsycINFO, Web of Science, ProQuest, and "gray" literature sources. Eligible publications were empirical studies that utilized sensors to measure at least one psychological variable among clinical ED populations.Sensors have been utilized with ED samples to measure eating behaviors, physical activity, sleep, autonomic nervous system activity, eyeblink startle response, visual attention, and visual-haptic object integration. The reliability and validity of these sensors varies widely and there are a number of significant gaps that remain in the literature with regard to the types of sensors utilized, context in which sensors have been used, and populations studied.The existing literature utilizing sensors within ED research largely support the feasibility and acceptability of these tools. Sensors should continue to be utilized within the field, with a specific focus on examining the reliability and validity of these tools within ED samples and increasing the diversity of samples studied.Sensor technologies, such as those included in modern smartwatches, offer new opportunities to measure factors that may maintain or contribute to symptoms of eating disorders. This article describes the types of sensors that have been used in eating disorders research, challenges that may arise in using these sensors, and discusses new applications of these sensors that may be pursued in future research.

Behavioral treatments for psychological disorders characterized by reward-driven maladaptive behaviors (e.g., substance use disorder, eating disorders, behavioral addictions) primarily seek to reduce hyper-reward response to disorder-specific stimuli. Suboptimal outcomes for these treatments highlight the need to also target hypo-reward response to day-to-day life activities. The present study sought to conduct an initial test of a novel behavioral treatment, Reward Re-Training (RRT) to target hyper- and hypo-reward response in individuals with binge eating. Individuals with binge eating (N = 23) were randomly assigned to either 10 weeks of outpatient, group-based RRT treatment or a waitlist control. RRT was found to be feasible and acceptable, demonstrated large impacts on both hypo- and hyper-reward response (measured by self-report (pre-to post-treatment η

Ecological momentary assessment (EMA; brief self-report surveys) of dietary lapse risk factors (e.g., cravings) has shown promise in predicting and preventing dietary lapse (nonadherence to a dietary prescription), which can improve weight loss interventions. Passive sensors also can measure lapse risk factors and may offer advantages over EMA (e.g., objective, automatic, semicontinuous data collection), but currently can measure only a few lapse predictors, a notable limitation. This study preliminarily compared the burden and accuracy of commercially available sensors versus established EMA in lapse prediction. N = 23 adults with overweight/obesity completed a 6-week commercial app-based weight loss program. Participants wore a Fitbit, enabled GPS tracking, completed EMA, and reported on EMA and sensor burden poststudy via a 5-point Likert scale. Sensed risk factors were physical activity and sleep (accelerometer), geolocation (GPS), and time, from which 233 features (measurable characteristics of sensor signals) were extracted. EMA measured 19 risk factors, lapse, and categorized GPS into meaningful geolocations. Two supervised binary classification models (LASSO) were created: the sensor model predicted lapse with 63% sensitivity (true prediction rate of lapse) and 60% specificity (true prediction rate of non-lapse) and EMA model with 59% sensitivity and 72% specificity. EMA model accuracy was higher, but self-reported EMA burden (M = 2.96, SD = 1.02) also was higher (M = 1.50, SD = 0.94). EMA model accuracy was superior, but EMA burden was higher than sensor burden. Findings highlight the promise of sensors in contributing to lapse prediction, and future research may use EMA, sensors, or both depending on prioritization of accuracy versus participant burden.

Purpose Up to 44% of individuals with bulimia nervosa (BN) experience worsening of symptoms after cognitive behavior therapy (CBT). Identifying risk for post-treatment worsening of symptoms using latent trajectories of change in eating disorder (ED) symptoms during treatment could allow for personalization of treatment to improve long-term outcomes Methods Participants (N = 56) with BN-spectrum EDs received 16 sessions of CBT and completed digital self-monitoring of eating episodes and ED behaviors. The Eating Disorder Examination was used to measured ED symptoms at post-treatment and 3-month follow-up. Latent growth mixture modeling of digital self-monitoring data identified latent growth classes. Kruskal–Wallis H tests examined effect of trajectory of change in ED symptoms on post-treatment to follow-up symptom change. Results Multi-class models of change in binge eating, compensatory behaviors, and regular eating improved fit over one-class models. Individuals with high frequency-rapid response in binge eating (H(1) = 10.68, p =0 .001, η2 = 0.24) had greater recurrence of compensatory behaviors compared to individuals with low frequency-static response. Individuals with static change in regular eating exhibited greater recurrence of binge eating than individuals with moderate response (H(1) = 8.99, p = 0.003, η2 = 0.20). Conclusion Trajectories of change in ED symptoms predict post-treatment worsening of symptoms. Personalized treatment approaches should be evaluated among individuals at risk of poor long-term outcomes. Level of evidence IV, evidence obtained from multiple time series. Trial registration ClinicalTrials.gov registration number NCT03673540, registration date: September 17, 2018. Supplementary Information The online version contains supplementary material available at 10.1007/s40519-021-01348-5.

Maladaptive exercise is common among individuals with binge-spectrum eating disorders. One mechanism that may drive engagement in exercise in this population is state body dissatisfaction. However, no studies to date have examined prospective, momentary relationships between state body dissatisfaction and exercise.Adults with binge-spectrum eating disorders (N = 58) completed a 7-14-day ecological momentary assessment protocol assessing exercise and state body dissatisfaction several times per day. Multilevel models were used to evaluate prospective reciprocal associations between state body dissatisfaction and exercise. Mixed models examined trajectories of change in state body dissatisfaction pre- and post-exercise. Additional models examined exercise type (maladaptive vs. adaptive) as a moderator.Momentary increases (i.e., greater than one's average levels) in state body dissatisfaction at any given timepoint did not prospectively predict engagement in exercise at the next nearest timepoint. Exercise at any given timepoint did not prospectively predict momentary increases in state body dissatisfaction. State body dissatisfaction was found to increase in the initial hours preceding an exercise episode (linear estimate, β = - 0.012, p = 0.004). State body dissatisfaction did not significantly change in the hours following engagement in exercise. Exercise type did not moderate these associations.If replicated, our results may suggest that momentary increases in state body dissatisfaction may not be associated with exercise behaviors in individuals with binge-spectrum eating disorders.Level V: Opinions of authorities, based on descriptive studies, narrative reviews, clinical experience, orreports of expert committees.

Objective Despite calls for routine use of progress and outcome monitoring in private and intensive treatment centres for eating disorders (EDs), existing measures have limited relevance to these supervised treatment settings. This study sought to develop and validate the progress monitoring tool for eating disorders, a multidimensional measure for progress monitoring in the context of intensive ED treatment. Method Thirty-seven items were generated by a team of content experts, clinicians, and administrative staff from the target treatment setting. Adolescent and adult females (N = 531) seeking residential ED treatment completed the items at admission as part of the clinic's routine assessment battery; 83% were retained for repeat assessment at discharge. Exploratory factor analysis was conducted for preliminary measure development. Results Results yielded a five-factor, 26-item structure explaining 50% of total variance. Final construct domains included weight and shape concern, ED behaviours and urges, emotion avoidance, adaptive coping, and relational connection. The measure demonstrated adequate internal consistency, sensitivity to change during treatment, and convergence with validated assessment measures. Conclusions Preliminary data support the progress monitoring tool for eating disorders as a novel and valid multidimensional measure of treatment-relevant constructs. This measure may have utility in measuring treatment progress for patients receiving intensive treatment for EDs.

Nearly 70% of Americans are overweight, in large part because of overconsumption of high-calorie foods such as sweets. Reducing sweets is difficult because powerful drives toward reward overwhelm inhibitory control (i.e., the ability to withhold a prepotent response) capacities. Computerized inhibitory control trainings (ICTs) have shown positive outcomes, but impact on real-world health behavior has been variable, potentially because of limitations inherent in existing paradigms, e.g., low in frequency, intrinsic enjoyment, personalization, and ability to adapt to increasing ability. The present study aimed to assess the feasibility, acceptability, and efficacy of a gamified and non-gamified, daily, personalized, and adaptive ICT designed to facilitate weight loss by targeting consumption of sweets. Participants (N=106) were randomized to one of four conditions in a 2 (Gamified versus Non-Gamified) by 2 (ICT versus Sham) factorial design. Participants were prescribed a no-added-sugar diet and completed 42 daily, at-home trainings, followed by two weekly booster trainings. Results indicated that the ICTs were feasible and acceptable. Surprisingly, compliance to the 44 trainings was excellent (88.8%) and equivalent across both gamified and non-gamified conditions. As hypothesized, the impact of ICT on weight loss was moderated by implicit preference for sweet foods (F(1,95)=6.17, p=.02) such that only those with higher-than-average implicit preference benefited (8-week weight losses for ICT were 3.1% versus 2.2% for Sham). A marginally significant effect was observed for gamification to reduce the impact of ICT. Implications of findings for continued development of ICTs to impact health behavior are discussed.

The aim of the current study was to investigate differences in treatment outcomes for residential eating disorder (ED) treatment patients diagnosed with comorbid substance use disorders (SUDs), particularly differences in ED pathology and affect dysregulation. Secondary data analysis was conducted on data from a previous study of 140 patients at a residential ED facility. SUD was diagnosed by a staff psychiatrist upon admission, and SUD diagnosis was extracted from electronic health records for the current study. Self-report measures of eating pathology and affect dysregulation from pre-treatment and post-treatment assessments were analyzed. 20.1% of the sample (n = 29) were diagnosed with a substance use disorder at the start of treatment. Contrary to hypotheses, those with comorbid SUD did not significantly differ in eating pathology severity, depression symptoms, emotion dysregulation, or psychological acceptance at baseline. Also contrary to hypotheses, individuals with comorbid SUD and ED evidenced slightly larger improvements in certain areas of eating pathology and affect dysregulation throughout treatment than those with ED diagnosis only. These findings suggest that residential ED treatment is an appropriate treatment choice for individuals with comorbid SUD. The observed improvements in affect dysregulation combined with a period of forced abstinence from maladaptive affect regulation behaviors may explain these positive results, though more research is needed to test the mechanisms of action of residential treatment for this population. IV, multiple time series analysis.

In recent years, ecological momentary assessment (EMA) has been used to repeatedly assess eating disorder (ED) symptoms in naturalistic settings, which has allowed for increased understanding of temporal processes that potentiate ED behaviors. However, there remain notable limitations of self-report EMA, and with the rapid proliferation of technology there are ever-increasing possibilities to improve ambulatory assessment methods to further the understanding and treatment of EDs. Therefore, the purpose of this review was to (a) systematically review the studies in EDs that have utilized ambulatory assessment methods other than self-report, and (b) provide directions for future research and clinical applications.A systematic literature search of electronic databases was conducted, and data regarding study characteristics and methodological quality were extracted.The search identified 17 studies that used ambulatory assessment methods to gather objective data, and focused primarily on autonomic functioning, physical activity, and cognitive processes in ED and control groups.Together the literature demonstrates the promise of using a range of ecologically valid ambulatory assessment approaches in EDs, though there remains limited research that has utilized methods other than self-report (e.g., wearable sensors), particularly in recent years. Going forward, there are several technology-enhanced momentary assessment methods that have potential to improve the understanding and treatment of EDs.En años recientes, la evaluación momentánea ecológica (en inglés, ecological momentary assessment (EMA)) ha sido utilizada repetidamente para evaluar los síntomas de trastorno de la conducta alimentaria (TCA) en ambientes naturalistas, lo que ha permitido un incremento en el entendimiento de los procesos temporales que potencían las conductas de trastornos alimentarios. Sin embargo, todavía hay notables limitaciones del autoreporte EMA y con la rápida proliferación de la tecnología hay todavía mayores posibilidades de mejorar los métodos de evaluación ambulatoria para avanzar el entendimiento y el tratamiento de los TCAs. Objetivo: Por lo tanto, el propósito de esta revisión fue 1) revisar sistemáticamente los estudios en TCAs que han utilizado métodos de evaluación ambulatoria además del auto-reporte, y 2) proveer las pautas para futuras investigaciones y aplicaciones clínicas. Método: Se realizó una búsqueda sistemática de la literatura en las bases de datos electrónicas, y los datos con las características del estudio y calidad metodológica fueron extraídos. Resultados: La búsqueda identificó 17 estudios que utilizaron métodos de evaluación ambulatoria para recopilar datos objetivos y se centraron principalmente en el funcionamiento autónomo, la actividad física y los procesos cognitivos en los grupos de control y de TCA. Discusión: En conjunto, la literatura demuestra la promesa de utilizar una variedad de abordajes de evaluación ambulatoria ecológicamente válidos en los TCA, aunque sigue habiendo investigaciones limitadas que han utilizado métodos distintos al autoinforme (por ejemplo, sensores portátiles), particularmente en los últimos años. En el futuro, hay varios métodos de evaluación momentánea mejorados con tecnología que tienen potencial para mejorar la comprensión y el tratamiento de los TCA.

Objective Increasing evidence suggests that mindfulness- and acceptance-based psychotherapies (MABTs) for bulimia nervosa (BN) and binge eating disorder (BED) may be efficacious; however, little is known about their active treatment components or for whom they may be most effective. Methods We systematically identified clinical trials testing MABTs for BN or BED through PsychINFO and Google Scholar. Publications were categorized according to analyses of mechanisms of action and moderators of treatment outcome. Results Thirty-nine publications met inclusion criteria. Twenty-seven included analyses of therapeutic mechanisms, and five examined moderators of treatment outcome. Changes were largely consistent with hypothesized mechanisms of MABTs, but substandard mediation analyses, inconsistent measurement tools, and infrequent use of mid-treatment assessment points limited our ability to make strong inferences. Discussion Analyses of mechanisms of action and moderators of outcome in MABTs for BN and BED appear promising, but the use of more sophisticated statistical analyses and adequate replication is necessary.

Rumination syndrome (RS) is characterized by the repeated regurgitation of material during or soon after eating with the subsequent rechewing, reswallowing, or spitting out of the regurgitated material. Rumination syndrome is classified as both a “Functional Gastroduodenal Disorder” (by the Rome Foundation’s Functional Gastrointestinal Disorders: Disorders of Gut-Brain Interaction, 4th edition) and a “Feeding and Eating Disorder” (by the Diagnostic and Statistical Manual of Mental Disorders, 5th edition). Rumination syndrome is a disorder that is often inaccurately diagnosed or missed, resulting in patients experiencing protracted symptoms and not receiving treatment for long periods. There is a lack of clear consensus for RS diagnosis, mechanisms that maintain RS, and treatment. Guided by existing research and our clinical expertise, we synthesize available evidence and provide recommendations for clinical use. We present a case example and critically summarize the literature to date to (i) increase clinicians’ understanding of heterogeneous clinical presentations, (ii) suggest assessment strategies to facilitate accurate diagnosis, and (iii) provide a schematic for intervention options. Overall, we recommend clinicians recognize the heterogeneous features of RS when considering diagnosis, assess for RS symptoms by clinical history, and treat RS with targeted diaphragmatic breathing while using other methods as augmented intervention or alternative treatment.

Autonomic nervous system functioning, measured with heart rate variability (HRV), is associated with emotion regulation and likely contributes to binge eating. This study examined the link between HRV and binge eating severity and analyzed changes in HRV as a marker of emotion regulation in individuals with binge eating. Participants (n = 28) with obesity and loss of control eating reported overeating and loss of control episodes and completed an HRV assessment at rest and during a mental stressor. At rest, lower time-domain HRV was linked to more severe loss of control (SDNN B = -0.18, p = 0.03). Frequency-domain HRV was associated with more severe overeating (LFn B = 14.92, p = 0.03; HFn B = -14.81, p = 0.04). Frequency-domain HRV differed between resting and stressed conditions (p's

Body dissatisfaction (BD) is supported as a maintenance factor for eating disorders (EDs) characterized by binge eating (BE). Although it is traditionally conceptualized as a trait construct, ecological momentary assessment (EMA) studies have shown that it fluctuates within-day and that momentary elevations in BD prospectively predict near-time ED behaviors. However, less is known about the contextual factors that precipitate these fluctuations in BD.The current study thus sought to examine whether certain internal (i.e., negative affect, shape/weight-related cognitions) and environmental (i.e., attending social events, being exposed to thin-ideal media, spending time on social media) factors prospectively predict momentary elevations in BD in females with BE. Participants (n = 25) completed an EMA protocol over 14 days.Data on BD and internal and environmental factors were analyzed using generalized estimating equations. Results showed that (1) greater than one's usual negative affect and shape/weight-related cognitions, and (2) spending time on social media prospectively predicted momentary elevations in BD. Interestingly, attending social events prospectively predicted momentary reductions in BD.These findings may have important implications for conceptualizing and managing BD to prevent ED behaviors.Level II, controlled trial without randomization.

Behavioral weight loss treatment (BT) for individuals with overweight and obesity is effective but leaves room for improvement. Mindfulness and acceptance-based treatments may bolster weight loss outcomes; yet, little is known about the efficacy of the individual components or the combinations of components that are most effective in producing weight loss above and beyond standard BT strategies for weight loss. This protocol manuscript describes the use of a multiphase optimization strategy to evaluate the independent and combinatory efficacy of three mindfulness and acceptance-based components (mindful awareness, willingness, values). Using a 2 × 2 × 2 factorial design, participants (N = 288) will be randomized to one of eight conditions, each representing a combination of core MABT strategies in addition to foundational BT strategies. Assessments occur at baseline, mid-treatment (week 24 through 26), post-treatment, and at 6, 12, and 24-month follow-up. The primary aim is to elucidate the independent efficacy of each MABT component on weight loss above gold-standard BT. The secondary aims are to evaluate the independent effect of these components on calorie intake, physical activity, and overall quality of life; evaluate target engagement (i.e., the degree to which each treatment component affects proposed mechanisms of action); and evaluate the potential moderating effect of susceptibility to internal and external food cues on outcomes. The exploratory aim is to quantify any component interaction effects (which may be synergistic, fully additive, or partially additive).

Reduced exposure to social reward during the COVID‐19 pandemic may result in both reduced reward response to day‐to‐day life activities and elevated reward response to substances or naturally rewarding stimuli (e.g., food). The combined hypo‐ and hyper‐reward responses results in a reward imbalance, which has been noted as a relevant maintenance factor for eating disorders (EDs) characterized by binge eating. This registered report describes the protocol for a pilot randomized controlled trial (RCT) comparing supportive therapy to a novel treatment targeting reward imbalance (Reward Re‐Training; RRT) for individuals with binge eating. Aims of the current study include to confirm feasibility and acceptability of RRT, to evaluate the ability of RRT to engage critical targets, and to provide preliminary estimates of efficacy in reducing ED symptoms at both posttreatment and 3‐month follow‐up. Sixty participants will be randomized to either RRT or supportive therapy. For both conditions, treatment will be delivered in 10 weekly group outpatient therapy sessions conducted remotely using videoconferencing software. Assessments will be conducted at baseline, mid‐treatment, posttreatment, and 3‐month follow‐up to measure feasibility, acceptability, critical treatment targets (i.e., reward to day‐to‐day life activities, reward to palatable foods, social isolation, and loneliness), and ED symptoms.

OBJECTIVE: Patterns of response to eating disorder (ED) treatment are heterogeneous. Advance knowledge of a patient’s expected course may inform precision medicine for ED treatment. This study explored the feasibility of applying machine learning to generate personalized predictions of symptom trajectories among patients receiving treatment for EDs, and compared model performance to a simpler logistic regression prediction model. METHOD: Participants were adolescent girls and adult women (N = 333) presenting for residential ED treatment. Self-report progress assessments were completed at admission, discharge, and weekly throughout treatment. Latent growth mixture modeling previously identified three latent treatment response trajectories (Rapid Response, Gradual Response, and Low-Symptom Static Response) and assigned a trajectory type to each patient. Machine learning models (support vector, k-nearest neighbors) and logistic regression were applied to these data to predict a patient’s response trajectory using data from the first 2 weeks of treatment. RESULTS: The best-performing machine learning model (evaluated via area under the receiver operating characteristics curve [AUC]) was the radial-kernel support vector machine (AUC(RADIAL) = 0.94). However, the more computationally-intensive machine learning models did not improve predictive power beyond that achieved by logistic regression (AUC(LOGIT) = 0.93). Logistic regression significantly improved upon chance prediction (M(AUC[NULL]) = 0.50, SD = .01; p

Outcomes from cognitive behavioral therapy for binge-eating spectrum disorders are suboptimal, possibly due in part to deficits in self-regulation (i.e., the ability to control behavior in pursuit of long-term goals despite internal challenges). Mindfulness and acceptance-based treatments (MABTs) integrate behavioral treatment with psychological strategies designed to enhance self-regulation, yet little is known about how and for whom they are effective. The present study will utilize the multiphase optimization strategy to identify which of four MABT components (mindful awareness, distress tolerance, emotion modulation, values-based decision making) to include in a fully powered clinical trial. Participants (n = 256) will be randomized to 16 sessions in one of 16 conditions, each a different combination of MABT components being included or excluded from a base behavioral treatment. Our primary aim is to evaluate each component's independent efficacy on disordered eating symptoms. Our secondary aims are to confirm each component's target engagement (i.e., whether each component improves the targeted variable and outcomes), and test that each component's efficacy is moderated by baseline weaknesses in the same component (e.g., that participants with poor distress tolerance at baseline benefit most from the distress tolerance component). Our exploratory aim is to quantify the component interaction effects.

Continuous glucose monitoring (CGM) devices have revolutionized our capacity to measure blood glucose levels in real time using minimally invasive technology, yet to date there are no studies using CGM in individuals with eating disorders (EDs). Preliminary evidence suggests that eating disorder behaviors (EDBs) have substantial and characteristic impacts on blood glucose levels and glucose-related variables (e.g., binge-eating episodes cause rapid spikes in blood glucose levels, purging causes rapid drops in blood glucose to below normal levels). The aims of this article are to describe the benefits of CGM technology over older methods of measuring blood glucose levels and to discuss several specific ways in which CGM technology can be applied to EDs research to (a) improve our ability to identify and predict engagement in EDBs in real time, (b) identify relationships between blood glucose levels and maintenance factors for EDs, and (c) increase our understanding of the physiological and psychological impacts of disordered eating. We also present preliminary acceptability and feasibility data on the use of CGM devices in individuals with EDs. Overall, the article will describe several applications of CGM technology in EDs research with compelling potential to improve research methodologies.

OBJECTIVE: Eating disorder (ED) treatment outcomes are highly variable from beginning to end of treatment, however little is known about differential trajectories during the course of treatment. This study sought to characterize heterogeneous patterns of eating disorder (ED) treatment response during residential care. METHOD: Participants were adolescent girls and adult women (N = 360) receiving residential ED treatment for anorexia nervosa, bulimia nervosa, binge-eating disorder, other specified feeding or eating disorder, unspecified feeding or eating disorder, or avoidant/restrictive food intake disorder. Self-report symptom assessments were completed at admission, discharge, and approximately weekly throughout the residential stay to assess curvilinear patterns of change. Latent growth mixture modeling was applied to identify subgroups of patients with similar treatment response trajectories. RESULTS: Three latent groups emerged, including gradual response (58.3%; steady improvements from admission to discharge), rapid response (23.9%; steep early improvements that were maintained through discharge), and low-symptom static response (17.8%; nearly non-clinical self-reported symptoms at admission that remained static through discharge). Groups differed on important clinical characteristics, such as body mass index, endorsement of compensatory behaviors, severity of global ED psychopathology at admission, and degree of symptom improvement by end of treatment. DISCUSSION: Patients follow heterogeneous response patterns in residential ED treatment, and these patterns are associated with differential treatment outcome. Future work should explore whether these trajectories are associated with differential outcomes at follow-up and whether tailoring clinical intervention to a patient’s trajectory type can improve treatment response.

Ecological momentary assessment (EMA) studies preliminarily support the transactional model of emotion regulation in eating disorders, such that heightened stress appraisal (i.e., the cognitive evaluation of an event's demands) results in increased negative affect (NA) and subsequent binge eating (BE). However, the temporal relationships between these variables and the magnitude of stress appraisal that is clinically significant require clarification. The current study aimed to extend previous research by (1) examining the temporal relationship between stress appraisal, changes in NA, and BE using three timepoints, (2) exploring what magnitude of momentary stress appraisal results in clinically significant increases in NA and BE, and (3) characterizing what stressors are associated with clinically significant stress appraisal.37 adult females completed an EMA protocol assessing momentary stressors, stress appraisal, NA, and BE over 2 week duration. Multilevel mediation models were used to test the study aims.Momentary increases in stress appraisal significantly predicted binge eating through increases in NA. Stress appraisal ratings of 0.50 SD higher relative to one's average stress appraisal began to significantly predict the likelihood of BE through increases in NA, and the likelihood of BE occurrence increased with every 0.25 increments in momentary stress appraisal. Work/school stressors and interpersonal stressors were the most commonly endorsed stressors of clinically significant stress appraisal.The current study supported the transactional model of emotion dysregulation in a binge eating sample and supports the use of momentary interventions at times of clinically significant stress appraisal to reduce BE risk.Level II, controlled trial without randomization.

PURPOSE: Existing literature has demonstrated that appetite hormones are frequently dysregulated in individuals with bulimic-spectrum eating disorders (BN-EDs). Although dysregulations in appetite hormones may maintain BN-EDs, very limited research has examined the association between dysregulated appetite hormones and cognitive and behavioral bulimic symptoms. We hypothesized that greater frequency of behavioral symptoms and severity of cognitive symptoms of BN-EDs would correlate with greater dysregulation in appetite hormones. METHODS: The association between ghrelin, cortisol, leptin, GLP-1, and amylin levels and eating pathology was examined in treatment-seeking adults with BN-EDs (N = 33). Participants completed bloodwork to assess fasting blood hormone levels and bulimic symptoms were measured by the Eating Disorder Examination. Pearson partial correlations were run to examine the association between hormone levels and eating pathology, controlling for BMI. RESULTS: Contrary to hypotheses, none of the appetite hormones tested were significantly associated with frequency of behavioral ED symptoms (p range = 0.13–0.97, negligible to small effect sizes). Global eating pathology was positively associated with leptin (p = 0.03) and negatively associated with GLP-1 (p = 0.03) and amylin (p = 0.04), with medium effect sizes. Post hoc analyses indicated significantly stronger associations between appetite hormones and cognitive eating pathology than between appetite hormones and frequency of binge eating [GLP-1 (p = 0.02) and amylin (p = 0.02)] or compensatory behaviors [leptin (p = 0.03), GLP-1 (p = 0.02), and amylin (p = 0.04)]. CONCLUSION: In individuals with BN-EDs, appetite hormones may be more strongly associated with cognitive symptoms than behavioral symptoms. LEVEL OF EVIDENCE: Level V, cross-sectional descriptive study.

Objective Hedonic hunger (i.e., the motivation to consume palatable foods in the absence of an energy deficit) has been associated with the onset and maintenance of loss of control (LOC) eating. However, it remains underexplored as a mechanism of action in outpatient cognitive behavioral therapy (CBT) for bulimia nervosa (BN). In the present study, we hypothesized that reductions in hedonic hunger would significantly mediate reductions in overall eating pathology and LOC episodes in two samples (N1 = 28, N2 = 23) of 20 and 16 sessions, respectively. Method Participants completed the Eating Disorder Examination (EDE) and Power of Food Scale (PFS) at pre- and post-treatment. Results In both samples, EDE Global scores, LOC episodes, and PFS Total scores significantly improved over the course of treatment. In Sample 1, significant indirect effects of PFS Total scores on EDE Global scores and LOC episodes were observed. In Sample 2, the indirect effect of PFS Total scores was significant on EDE Global scores and nonsignificant on LOC episodes though it followed a similar pattern of change. Discussion Results suggest that reductions in hedonic hunger are associated with better outcomes in CBT for BN. Replication and further research is needed to elucidate the treatment components driving these reductions.

Objective: One reason for limited efficacy of treatments for binge eating disorder (BED) and bulimia nervosa (BN) is a failure to directly target deficits in inhibitory control (i.e., the ability to withhold a pre-potent response). Inhibitory control trainings (ICTs; computerized tasks meant to improve inhibitory control) have shown promise but appear not to be powerful enough to generalize to real-word eating behavior or engaging enough for to sustain long-term compliance. Delivering an ICT through virtual reality (VR) technology should increase intervention power because 3D imagery and actual real hand/arm movements are lifelike and may improve compliance because the VR environment is highly engaging. Thus, we created the first-ever VR-based ICT to test its initial feasibility, acceptability, and impact on binge eating.Method: We recruited participants (N = 14) with once-weekly loss-of-control (LOC) eating to use the VR ICT daily, at home, for two weeks, and measured feasibility, acceptability and change in LOC eating at postintervention and 2-week follow-up.Results: The VR ICT was feasible to construct and deploy, and demonstrated high acceptability and compliance (i. e., 86.8% of daily trainings completed). Users of the VR ICT experienced large decreases in LOC eating at postintervention and 2-week follow-up.Discussion: Results from this initial pilot indicate that delivering ICT through VR is feasible, acceptable, and is associated with reductions in binge eating. Future study is warranted and should examine whether a VR ICT can serve as a useful adjunct to standard treatment for BN and BED.

Behavioral weight loss (WL) trials show that, on average, participants regain lost weight unless provided long-term, intensive—and thus costly—intervention. Optimization solutions have shown mixed success. The artificial intelligence principle of “reinforcement learning” (RL) offers a new and more sophisticated form of optimization in which the intensity of each individual’s intervention is continuously adjusted depending on patterns of response. In this pilot, we evaluated the feasibility and acceptability of a RL-based WL intervention, and whether optimization would achieve equivalent benefit at a reduced cost compared to a non-optimized intensive intervention. Participants (n = 52) completed a 1-month, group-based in-person behavioral WL intervention and then (in Phase II) were randomly assigned to receive 3 months of twice-weekly remote interventions that were non-optimized (NO; 10-min phone calls) or optimized (a combination of phone calls, text exchanges, and automated messages selected by an algorithm). The Individually-Optimized (IO) and Group-Optimized (GO) algorithms selected interventions based on past performance of each intervention for each participant, and for each group member that fit into a fixed amount of time (e.g., 1 h), respectively. Results indicated that the system was feasible to deploy and acceptable to participants and coaches. As hypothesized, we were able to achieve equivalent Phase II weight losses (NO = 4.42%, IO = 4.56%, GO = 4.39%) at roughly one-third the cost (1.73 and 1.77 coaching hours/participant for IO and GO, versus 4.38 for NO), indicating strong promise for a RL system approach to weight loss and maintenance.

Objective: The most widely researched treatment for bulimia nervosa (BN) and binge-eating disorder (BED) is cognitive behavioral therapy (CBT), a present-focused, active, skill-oriented treatment. However, despite the success of CBT, many patients fail to achieve sufficient rates of skill utilization (i.e., the frequency with which a patient practices or uses therapeutic skills) or adequate skill acquisition (i.e., the ability to successfully perform a skill learned in treatment) by the end of treatment and outcomes suffer as a result. One method for improving skill acquisition and utilization in patients with BN or BED could be the augmentation of in-person treatment with just-in-time adaptive interventions (JITAIs), which use smartphone technology to deliver real-time interventions during app-identified moments of need. The current article discusses how novel JITAI systems that utilize machine learning or other predictive algorithms could be used to detect momentary risk for eating disordered behavior and provide tailored interventions to enhance outcomes. We will consider technologies that may help reduce patient burden and suggest avenues for future research on developing acceptable and effective JITAIs that can be used as an adjunct to CBT protocols.

Given that the overarching goal of weight loss programs is to remain adherent to a dietary prescription, specific moments of nonadherence known as “dietary lapses” can threaten weight control via the excess energy intake they represent and by provoking future lapses. Just-in-time adaptive interventions could be particularly useful in preventing dietary lapses because they use real-time data to generate interventions that are tailored and delivered at a moment computed to be of high risk for a lapse. To this end, we developed a smartphone application (app) called OnTrack that utilizes machine learning to predict dietary lapses and deliver a targeted intervention designed to prevent the lapse from occurring. This study evaluated the feasibility, acceptability, and preliminary effectiveness of OnTrack among weight loss program participants. An open trial was conducted to investigate subjective satisfaction, objective usage, algorithm performance, and changes in lapse frequency and weight loss among individuals (N = 43; 86% female; body mass index = 35.6 kg/m2) attempting to follow a structured online weight management plan for 8 weeks. Participants were adherent with app prompts to submit data, engaged with interventions, and reported high levels of satisfaction. Over the course of the study, participants averaged a 3.13% weight loss and experienced a reduction in unplanned lapses. OnTrack, the first Just-in-time adaptive intervention for dietary lapses was shown to be feasible and acceptable, and OnTrack users experienced weight loss and lapse reduction over the study period. These data provide the basis for further development and evaluation.

OBJECTIVE Individuals with overweight/obesity and loss-of-control eating (LOC) may experience poorer outcomes from behavioural weight loss due to reactivity to internal (e.g., affective and physical) states that impact treatment adherence (e.g., dietary lapses). This study examined (a) whether the presence of LOC increased risk for dietary lapses and (b) the moderating role of LOC on the relation between internal states and dietary lapses. METHOD Individuals (n = 189) with overweight and obesity completed ecological momentary assessment early in behavioural weight loss. RESULTS LOC was positively associated with dietary lapse. LOC did not moderate the relation between momentary changes in internal states and dietary lapses. However, the effect of average levels of internal states on lapses was attenuated for those with LOC. DISCUSSION Results suggest that those with LOC are at higher risk of dietary lapse, whereas elevated average levels of internal states may contribute to early inadherence for those without LOC.

Although 40–60% of individuals with eating disorders (EDs) report engaging in maladaptive exercise, self-reported reasons for engaging in exercise vary. Further, no studies have examined momentary reasons for exercise and whether reasons for exercising could be both adaptive and maladaptive for any episode. Examining reasons for exercise can inform interventions which more effectively target maladaptive exercise. The current study recruited adults with binge-spectrum EDs (N = 58, 89.2% Female) and assessed self-reported reasons for exercise using ecological momentary assessment over 7–14 days. Exercise episodes were categorized as maladaptive if the participant endorsed exercising to compensate for eating or feeling driven to exercise. On average, participants reported exercising 8 times (SD = 8) over the 7–14 days. On average, 73% of exercise episodes were maladaptive. Participants most frequently stated exercising to control shape or weight (67.2% of episodes), feeling driven (62.9%), and exercising as part of a routine (52.9%). Participants least endorsed exercising so that they could eat more later (9.8%). Participants reported a mean of 3.6 reasons for exercising at each episode (SD = 1.85, mode = 1.0). As hypothesized, individuals with EDs were exercising for several reasons at each exercise episode. Further, the extent to which each exercise episode is maladaptive varied between participants and even within a single participant's exercise episodes. These findings underscore the importance of research evaluating when, and for whom, exercise becomes maladaptive, as well as research examining other characteristic features of maladaptive and adaptive exercise in EDs.

Individual instances of nonadherence to reduced calorie dietary prescriptions, that is, dietary lapses, represent a key challenge for weight management. Just-in-time adaptive interventions (JITAIs), which collect and analyze data in real time to deliver tailored interventions during moments of need, may be well suited to promote weight loss by preventing dietary lapses. We developed OnTrack (OT), a smartphone application (app) that collects data on lapses and triggers of lapse, uses a continuously improving machine learning model to predict lapse risk, and delivers tailored interventions when risk is elevated. The current study evaluated the efficacy of OT against an active control in facilitating weight loss. Participants (N = 181) with overweight/obesity (MBMI = 34.32; 85.1% female; 73.5% White) were randomized to receive either the WW (formerly Weight Watchers) Beyond the Scale (BTS) digital program alone or WW plus OnTrack (WW + OT) for 10 weeks. In an unplanned, natural experiment, the WW program changed mid-way through the trial from BTS to a more flexible one, Freestyle (FS). A general linear model revealed a treatment condition × diet plan interaction (F[1, 173] = 9.68, p = .002) such that OT demonstrated greater efficacy only among those receiving BTS (weight loss MWW + OT = 4.7%, standard error [SE] = .55 versus MWW = 2.6%, SE = .80). Compared to FS, BTS WW + OT participants also reported considerably higher satisfaction with the intervention, engagement was higher, and algorithm accuracy was superior. Overall, results offer qualified support for OT and generally for machine learning-powered JITAIs that facilitate weight loss by predicting and preventing dietary lapses.

Emotion-focused treatments are generally efficacious for improving emotion regulation and consequently, improving clinical symptoms across numerous disorders. However, emotion-focused treatment approaches often contain numerous treatment components, limiting our ability to identify which are most efficacious. As such, the current pilot study sought to isolate three components common across a range of emotion-focused treatments (i.e. emotional awareness, emotion down-regulation, and distress tolerance) and test the impact of each component on (1) emotion regulation and (2) emotional eating behavior. Adults (N = 76) who reported four or more emotional eating episodes in the past month were assigned to attend a one-time, three-hour workshop focused on either awareness, down-regulation or tolerance of emotions, and were subsequently evaluated at one-week and two-weeks follow-up. All groups experienced equivalent improvements in emotional eating at two-weeks follow-up (F [1.47, 85.38 ] = 7.60, p

Binge eating presents in the context of several eating disorders (EDs) and has been shown to be associated with negative affectivity and inhibitory control deficits. While considerable ecological momentary assessment (EMA) work in EDs has demonstrated the importance of intra-individual variability in affect in predicting binge episodes, no research has considered how fluctuations in inhibitory control and negative affect together influence binge eating, or the extent to which these relationships may differ across ED diagnoses. Therefore, the present EMA study assessed the extent to which daily inhibitory control moderated momentary associations between negative affect and binge eating, and whether the presence of regular compensatory behaviors influenced these associations. Participants were 40 women reporting regular binge eating (anorexia nervosa binge-purge type [AN-BP], bulimia nervosa [BN], binge-eating disorder [BED]/subthreshold BED) who completed a 10-day EMA protocol that included measures of affect, eating, and a daily ambulatory Go/No-go task that included palatable food and neutral stimuli. Results of generalized estimating equations indicated greater between-person food-related inhibitory control deficits were associated with greater binge likelihood, and there was a three-way interaction between momentary negative affect, daily food-related inhibitory control, and compensatory behavior group. For individuals with BN or AN-BP, the relationship between momentary negative affect and subsequent binge eating was stronger on days characterized by reduced inhibitory control, whereas no main or interactive effects of negative affect or inhibitory control were observed for those with BED/ subthreshold BED. Together these results demonstrate the importance of intra-individual variability in executive functioning and affective processes that underlie binge eating, as well as meaningful individual differences in these momentary associations.

Ambulatory assessment methods, including ecological momentary assessment (EMA), have often been used in eating disorders (EDs) to assess the type, frequency, and temporal sequencing of ED symptoms occurring in naturalistic environments. Relatedly, growing research in EDs has explored the utility of ecological momentary interventions (EMIs) to target ED symptoms. The aims of the present review were to (1) synthesize recent literature pertaining to ambulatory assessment/EMA and EMI in EDs, and (2) identify relevant limitations and future directions in these domains. With respect to ambulatory assessment and EMA, there has been substantial growth in the expansion of constructs assessed with EMA, the exploration of state- vs. trait-level processes, integration of objective and passive assessment approaches, and consideration of methodological issues. The EMI literature in EDs also continues to grow, though most of the recent research focuses on mobile health (mHealth) technologies with relatively minimal EMI components that adapt to momentary contextual information. Despite these encouraging advances, there remain several promising areas of ambulatory assessment research and clinical applications in EDs going forward. These include integration of passive data collection, use of EMA in treatment evaluation and design, evaluation of dynamic system processes, inclusion of diverse samples, and development and evaluation of adaptive, tailored EMIs such as just-in-time adaptive interventions. While much remains to be learned in each of these domains, the continual growth in mobile technology has potential to facilitate and refine our understanding of the nature of ED psychopathology and ultimately improve intervention approaches.

Although binge eating is associated with impulsivity, clinical reports suggest that some individuals with bulimia nervosa (BN) and binge eating disorder (BED) plan binge episodes in advance. This study is the first to examine: (1) the frequency of binge planning (BP; defined as both advanced knowledge that a binge episode will occur and taking steps to facilitate the binge episode); (2) associations of BP with ED severity, and (3) whether BP serves a negative reinforcement function. Patients with BN- and BED-spectrum eating disorders (EDs; n = 111) were administered semi-structured interview questions regarding BP. Results indicate that a substantial minority of patients (27.8%) engage in BP. BP was significantly more common in BN versus BED-spectrum EDs (38.3% versus 20.6%, p = 0.04) and in those who did versus did not endorse self-induced vomiting (50.0% versus 21.3%, p

There is ample evidence linking broad trait emotion regulation deficits and negative affect with loss-of-control (LOC)-eating among individuals with obesity and binge eating, however, few studies have examined emotion regulation at the state-level. Within and across day fluctuations in the ability to modulate emotion (or regulate emotional and behavioral responses), one facet of state emotion regulation, may be a more robust momentary predictor of LOC-eating than momentary negative affect and trait emotion regulation ability. As such, the current study tested if daily emotion modulation, and daily variability in emotion modulation differed on days with and without LOC-eating episodes, and if momentary emotion modulation was associated with subsequent LOC-eating episodes. For two weeks individuals (N = 14) with obesity and binge eating completed surveys as part of an ecological momentary assessment study. Participants reported on current ability to modulate emotion, LOC-eating, and current negative affect. On LOC-eating days compared to non-LOC-eating days, ability to modulate emotion was poorer (β =0.10, p .001) and average variability in ability to modulation emotions was greater (β = 0.56, p = .008), even when controlling for negative affect. Greater momentary difficulty modulating emotion was associated with a 40% increase in subsequent risk for LOC-eating (ß = 0.34, p = .071, OR = 1.40). Findings from this pilot study suggest that individuals with obesity report poorer ability to modulate emotion and greater variability in ability to modulate emotion on LOC-eating days, even when controlling for negative affect. Future research should replicate findings and further elucidate the relationships between state emotion regulation, negative affect, and LOC-eating.

Emotion dysregulation is a known risk factor for a variety of maladaptive eating behaviors, including emotional eating (Crockett, Myhre, & Rokke, 2015; Lavender et al., 2015). New passive sensing technologies offer the prospect of detecting emotion dysregulation in real-time through measurement of heart rate variability (HRV), a transdiagnostic bio-signal of emotion regulation, which may in turn signal risk of engaging in a maladaptive eating behavior. In the current study, our primary aim was to test the hypothesis that momentary changes in HRV can be used to detect risk of experiencing an emotional eating episode in an ecologically valid setting using a wrist worn sensor with acceptable classification accuracy. Participants were 21 adults with clinically significant emotional eating behaviors. Participants wore the Empatica E4 wrist-sensor and tracked all emotional eating episodes using ecological momentary assessment for four weeks. Time and frequency domain features of HRV were extracted in the 30-min period preceding emotional eating episodes and control cases (defined as the 30 min prior to an EMA survey that did not contain an emotional eating episode). Support vector machine (SVM) learning models were implemented using time domain and frequency domain features. SVM models using frequency domain features achieved the highest classification accuracy (77.99%), sensitivity (78.75%), and specificity (75.00%), consistent with standards deemed acceptable for the prediction of event-level health behavior. SVM models using time domain features still performed above chance, though were less accurate at classifying episodes (accuracy 63.48%, sensitivity 62.68%, and specificity 70.00%) and did not meet acceptable classification accuracy. Wearable sensors that assess HRV show promise as a tool for capturing risk of engaging in emotional eating episodes.