Moving beyond self-report data collection in the natural environment: A review of the past and future directions for ambulatory assessment in eating disorders

Next Steps in Use of the Eating Disorder Examination and Related Eating Disorder Assessments: A Call for Consensus

OBJECTIVE

Since its publication almost 35 years ago, the Eating Disorder Examination (EDE) and its companion paper-and-pencil self-report-the Eating Disorder Examination-Questionnaire (EDE-Q)-have remained some of the most widely used and studied tools for the assessment of eating disorder symptoms. Widespread use of the EDE has persisted despite notable limitations of the measure, while other assessment tools developed in the decades since have been inconsistently adopted, both of which may have consequences for accumulation and replication of knowledge within the field.

METHOD

In the current forum, we propose that common critiques of the EDE are representative of larger issues that face the subfield of ED assessment. Therefore, we propose that larger efforts focused on (a) developing decision-making frameworks for assessment evaluation and selection, (b) alignment in flexibly adapting measurements for use in different contexts, and (c) consensus in reporting on assessment implementation and alteration should be paired with and could effectively inform more pragmatic revision of tools like the EDE.

RESULTS

We outline a range of recommendations through which the field can address issues related to lack of consensus in assessment-related decision-making, inconsistency in measure administration and scoring, and inadequate reporting on assessment practices in peer-reviewed journals.

DISCUSSION

In sum, we propose that undertaking planful research regarding current use of the EDE and facilitating field-wide discussion regarding innovation in measure selection and administration can facilitate needed improvement in assessment rigor, data sharing, and inclusiveness within the field.

Enhancing Motivation to Reduce Restrictive Eating: A Novel Approach

OBJECTIVE

Despite growing interest in leveraging motivational techniques to address restrictive eating, it is not yet clear how to most effectively promote motivation to reduce this behavior. Drawing from a behavioral economic framework, the present study evaluates a novel approach for increasing motivation to address disordered eating by amplifying the potential benefits of reducing dietary restriction and the consequences of maintaining disordered behaviors.

METHOD

A sample of 126 undergraduate students engaging in restrictive eating participated in a 7-day online experiment. Participants were randomized to one of four conditions: Amplified Benefits and Consequences, Amplified Benefits, Amplified Consequences, or a control condition. Growth curve models were estimated to examine the extent to which experimental conditions led to changes in eating pathology and motivation over the study period.

RESULTS

Initial reductions in dietary restraint were observed in conditions where the benefits of reducing restriction were amplified; however, these reductions were not sustained over the 7-day study period. The greatest increases in motivation were observed when both the benefits of reducing restriction and the consequences of maintenance were amplified.

DISCUSSION

Interventions designed to enhance motivation alone are unlikely to yield sustained reductions in eating disorder symptoms and therefore should be accompanied or followed by targeted interventions which directly address restrictive eating behaviors and maladaptive cognitions about shape and weight.

The future of the eating disorder field: Inclusive, aware of systems, and personalized

Eating disorders are serious psychiatric illnesses associated with large amounts of suffering, high morbidity, and high mortality rates, signifying a clear need for rapid advancements in the underlying science. Relative to other fields of clinical psychological science, the eating disorder field is new. However, despite the fields' late beginnings, there is growing science in several important areas. The current paper discusses the current literature in three primary areas of importance: (a) diversity and inclusion, (b) systemic and social factors, and (c) treatment personalization. We discuss how these areas have huge potential to push both eating disorder and clinical psychological science in general forward, to improve our underlying understanding of psychological illness, and to enhance treatment access and effectiveness. We call for more research in these areas and end with our vision for the field for the next decade, including areas in need of significant future research.

Experiential Avoidance During Mealtimes Among Individuals With Eating Disorders

The relationship between negative emotions and avoidance is widely theorized as a bidirectional cycle implicated in a range of psychopathology. Historically, research on this cycle has examined one type of negative emotion: anxiety. Yet, a broader range of internal experiences may be implicated in the maintenance of unhealthy avoidance cycles in psychopathology. This study examines prospective relationships among anxiety, guilt, physical discomfort, and experiential avoidance during mealtimes for individuals with eating disorders (EDs). Participants (N = 108) completed ecological momentary assessments four times a day for 25 days. We computed multilevel models to examine between- and within-person effects of negative emotions and physical discomfort on experiential avoidance. When including guilt and anxiety in one model, guilt, but not anxiety, explained the significant variance in experiential avoidance at the next meal. Mealtime physical discomfort and experiential avoidance evidenced reciprocal prospective relationships. Future research should test whether interventions targeting experiential avoidance and physical discomfort at mealtimes disrupt guilt.

Personality Trait Recognition using ECG Spectrograms and Deep Learning

This paper presents an innovative approach to recognizing personality traits using deep learning (DL) methods applied to electrocardiogram (ECG) signals. The research explores the potential of ECG-derived spectrograms as informative features in detecting the Big Five personality traits model encompassing extraversion, neuroticism, agreeableness, conscientiousness, and openness. Optimal window sizes for spectrogram generation are determined, and a convolutional neural network (CNN), specifically Resnet-18, and visual transformer (ViT) are employed for feature extraction and personality trait classification. The study utilizes the publicly available ASCERTAIN dataset, which comprises various physiological signals, including ECG recordings, collected from 58 participants while presenting video stimuli categorized by valence and arousal levels. The outcomes of this study demonstrate noteworthy performance in personality trait classification, consistently achieving F1-scores exceeding 0.9 across different window sizes and personality traits. These results emphasize the viability of ECG signal spectrograms as a valuable modality for personality trait recognition, with Resnet-18 exhibiting effectiveness in discerning distinct personality traits.

Using machine learning with passive wearable sensors to pilot the detection of eating disorder behaviors in everyday life

BACKGROUND

Eating disorders (ED) are serious psychiatric disorders, taking a life every 52 minutes, with high relapse. There are currently no support or effective intervention therapeutics for individuals with an ED in their everyday life. The aim of this study is to build idiographic machine learning (ML) models to evaluate the performance of physiological recordings to detect individual ED behaviors in naturalistic settings.

METHODS

From an ongoing study (Final N = 120), we piloted the ability for ML to detect an individual's ED behavioral episodes (e.g. purging) from physiological data in six individuals diagnosed with an ED, all of whom endorsed purging. Participants wore an ambulatory monitor for 30 days and tapped a button to denote ED behavioral episodes. We built idiographic (N = 1) logistic regression classifiers (LRC) ML trained models to identify onset of episodes (~600 windows) v. baseline (~571 windows) physiology (Heart Rate, Electrodermal Activity, and Temperature).

RESULTS

Using physiological data, ML LRC accurately classified on average 91% of cases, with 92% specificity and 90% sensitivity.

CONCLUSIONS

This evidence suggests the ability to build idiographic ML models that detect ED behaviors from physiological indices within everyday life with a high level of accuracy. The novel use of ML with wearable sensors to detect physiological patterns of ED behavior pre-onset can lead to just-in-time clinical interventions to disrupt problematic behaviors and promote ED recovery.

Digital health applications for eating disorders treatment

Eating disorders (EDs) are characterized by multifaceted etiologies, difficulties in accessing care (especially in regional locations), and variable responsiveness to treatments. Digital technologies are viewed as an important innovation in the assessment and treatment of EDs. We discuss current implementation of these innovations as well as important future directions for the field.

Evidence-Based Assessments for Transdiagnostic Eating Disorder Symptoms: Guidelines for Current Use and Future Directions

Eating disorders are severe and often chronic mental illnesses that are associated with high impairment and mortality rates. Recent estimates suggest that eating disorder prevalence rates are on the rise, indicating an increased need for accurate assessment and detection. The current review provides an overview of transdiagnostic eating disorder assessments, including interview, self-report, health and primary care screeners, and technology-based and objective assessments. We focused on assessments that are transdiagnostic in nature and exhibit high impact in the field. We provide recommendations for how these assessments should be used in research and clinical settings. We also discuss considerations that are crucial for assessment, including the use of a categorical versus dimensional diagnostic framework, assessment of eating disorders in related fields (i.e., anxiety and depression), and measurement-based care for eating disorders. Finally, we provide suggestions for future research, including the need for more research on short transdiagnostic screeners for use in health care settings, standardized assessments for ecological momentary assessment, development of state-based assessment of eating disorder symptoms, and consideration of assessment across multiple timescales.

State-level working memory and dysregulated eating in children and adolescents: An exploratory ecological momentary assessment study

BACKGROUND

Children with loss of control (LOC) eating and overweight/obesity have relative deficiencies in trait-level working memory (WM), which may limit adaptive responding to intra- and extra-personal cues related to eating. Understanding of how WM performance relates to eating behavior in real-time is currently limited.

METHODS

We studied 32 youth (ages 10-17 years) with LOC eating and overweight/obesity (LOC-OW; n = 9), overweight/obesity only (OW; n = 16), and non-overweight status (NW; n = 7). Youth completed spatial and numerical WM tasks requiring varying degrees of cognitive effort and reported on their eating behavior daily for 14 days via smartphone-based ecological momentary assessment. Linear mixed effects models estimated group-level differences in WM performance, as well as associations between contemporaneously completed measures of WM and dysregulated eating.

RESULTS

LOC-OW were less accurate on numerical WM tasks compared to OW and NW (ps < .01); groups did not differ on spatial task accuracy (p = .41). Adjusting for between-subject effects (reflecting differences between individuals in their mean WM performance and its association with eating behavior), within-subject effects (reflecting variations in moment-to-moment associations) revealed that more accurate responding on the less demanding numerical WM task, compared to one's own average, was associated with greater overeating severity across the full sample (p = .013). There were no associations between WM performance and LOC eating severity (ps > .05).

CONCLUSIONS

Youth with LOC eating and overweight/obesity demonstrated difficulties mentally retaining and manipulating numerical information in daily life, replicating prior laboratory-based research. Overeating may be related to improved WM, regardless of LOC status, but temporality and causality should be further explored.

PUBLIC SIGNIFICANCE STATEMENT

Our findings suggest that youth with loss of control eating and overweight/obesity may experience difficulties mentally retaining and manipulating numerical information in daily life relative to their peers with overweight/obesity and normal-weight status, which may contribute to the maintenance of dysregulated eating and/or elevated body weight. However, it is unclear whether these individual differences are related to eating behavior on a moment-to-moment basis.

Evaluating the Effects of Rewards and Schedule Length on Response Rates to Ecological Momentary Assessment Surveys: Randomized Controlled Trials

BACKGROUND

Ecological momentary assessments (EMAs) are short, repeated surveys designed to collect information on experiences in real-time, real-life contexts. Embedding periodic bursts of EMAs within cohort studies enables the study of experiences on multiple timescales and could greatly enhance the accuracy of self-reported information. However, the burden on participants may be high and should be minimized to optimize EMA response rates.

OBJECTIVE

We aimed to evaluate the effects of study design features on EMA response rates.

METHODS

Embedded within an ongoing cohort study (Health@NUS), 3 bursts of EMAs were implemented over a 7-month period (April to October 2021). The response rate (percentage of completed EMA surveys from all sent EMA surveys; 30-42 individual EMA surveys sent/burst) for each burst was examined. Following a low response rate in burst 1, changes were made to the subsequent implementation strategy (SMS text message announcements instead of emails). In addition, 2 consecutive randomized controlled trials were conducted to evaluate the efficacy of 4 different reward structures (with fixed and bonus components) and 2 different schedule lengths (7 or 14 d) on changes to the EMA response rate. Analyses were conducted from 2021 to 2022 using ANOVA and analysis of covariance to examine group differences and mixed models to assess changes across all 3 bursts.

RESULTS

Participants (N=384) were university students (n=232, 60.4% female; mean age 23, SD 1.3 y) in Singapore. Changing the reward structure did not significantly change the response rate (F3,380=1.75; P=.16). Changing the schedule length did significantly change the response rate (F1,382=6.23; P=.01); the response rate was higher for the longer schedule (14 d; mean 48.34%, SD 33.17%) than the shorter schedule (7 d; mean 38.52%, SD 33.44%). The average response rate was higher in burst 2 and burst 3 (mean 50.56, SD 33.61 and mean 48.34, SD 33.17, respectively) than in burst 1 (mean 25.78, SD 30.12), and the difference was statistically significant (F2,766=93.83; P<.001).

CONCLUSIONS

Small changes to the implementation strategy (SMS text messages instead of emails) may have contributed to increasing the response rate over time. Changing the available rewards did not lead to a significant difference in the response rate, whereas changing the schedule length did lead to a significant difference in the response rate. Our study provides novel insights on how to implement EMA surveys in ongoing cohort studies. This knowledge is essential for conducting high-quality studies using EMA surveys.

TRIAL REGISTRATION

ClinicalTrials.gov NCT05154227; https://clinicaltrials.gov/ct2/show/NCT05154227.

Evaluation of Pressing Issues in Ecological Momentary Assessment

The use of repeated, momentary, real-world assessment methods known as the Experience Sampling Method and Ecological Momentary Assessment (EMA) has been broadly embraced over the last few decades. These methods have extended our assessment reach beyond lengthy retrospective self-reports as they can capture everyday experiences in their immediate context, including affect, behavior, symptoms, and cognitions. In this review we evaluate nine conceptual, methodological, and psychometric issues about EMA with the goal of stimulating conversation and guiding future research on these matters: the extent to which participants are actually reporting momentary experiences, respondents' interpretation of momentary questions, the use of comparison standards in responding, efforts to increase the EMA reporting period beyond the moment to longer periods within a day, training of EMA study participants, concerns about selection bias of respondents, the impact of missing EMA assessments, the reliability of momentary data, and for which purposes EMA might be considered a gold standard for assessment. Resolution of these issues should have far-reaching implications for advancing the field.

Real-time versus retrospective self-report assessment of loss-of-control eating in adults undergoing bariatric surgery

OBJECTIVE

Loss-of-control (LOC) eating is common in adults undergoing bariatric surgery. Agreement between real-time and retrospective assessment methods is unclear.

METHODS

Adults with severe obesity reported on LOC eating over the preceding 28 days via Eating Disorder Examination-Questionnaire (EDE-Q) items and in near real time over 10 days via ecological momentary assessment (EMA; involving daily repeated surveys delivered via smartphone in the natural environment), with both assessment forms completed before surgery and at 3, 6, and 12 months after surgery. Wilcoxon signed rank tests and generalized linear mixed models were used to compare participants' EDE-Q and EMA reports of subjectively and objectively large LOC episodes across time points.

RESULTS

Participants reported subjectively large LOC episodes more frequently via EMA than EDE-Q across time points, although differences did not reach statistical significance (all p > 0.05). Conversely, objectively large LOC episodes were more frequently reported via EDE-Q than EMA, with differences reaching significance at 6 months post surgery only (p = 0.03).

CONCLUSIONS

Agreement between real-time and retrospective assessments of LOC eating varied by episode size and time elapsed in the year following surgery. These findings should be considered when designing assessment batteries for bariatric surgery-seeking adults and when extrapolating research findings across studies with diverging methods of real-time versus retrospective self-report assessment of LOC eating in adults undergoing bariatric surgery.

A closer look at homework compliance in behavior therapy for bulimia nervosa: does homework compliance in between-session period prospectively predict session-by-session change in bulimia symptoms?

INTRODUCTION

Homework assignments are considered key components of behavioral treatments for bulimia nervosa (BN), but little is known about whether homework compliance predicts BN symptom improvement. The present study is the first to examine whether session-by-session change in homework compliance predicts session-by-session changes in BN symptoms during behavioral treatment.

METHOD

Patients with BN-spectrum eating disorders (n = 42) received 20 sessions of behavioral treatment. Each session, their clinicians completed surveys assessing compliance with self-monitoring, behavioral, and written homework assignments and BN symptom frequency during the previous week.

RESULTS

Significant between-persons effects of self-monitoring and behavioral homework compliance were identified, such that patients with greater compliance in the past week experienced greater reductions in binge eating and purging the following week. There were significant within-persons effects of self-monitoring compliance on binge eating and behavioral homework compliance on restrictive eating, binge eating, and purging, such that greater than one's usual compliance predicted greater improvements in BN symptoms the following week. No significant effects of written homework compliance were identified.

CONCLUSION

Compliance with self-monitoring and behavioral homework predict improvements in BN symptoms during behavioral treatment. These findings reinforce the importance of self-monitoring and behavioral homework compliance as drivers of change during treatment for BN.

Relationships between personality traits and disordered eating among Chinese female exercisers: the role of symptoms of exercise dependence and obsessive-compulsiveness

BACKGROUND

Although numerous studies have examined associations between personality traits and eating disorders in females, few studies have been conducted on female exercisers. Given the high risk of disordered eating in female exercisers, this study investigated the associations between the Big Five personality traits and disordered eating in female exercisers, and further explored the potential mediators, namely exercise dependence symptoms, and obsessive-compulsive symptoms underlying this association.

METHODS

A total of 295 female exercisers aged between 18 to 67 years (M =  22.11, SD =  6.65) participated in this study.

RESULTS

Negative and statistically significant correlations between conscientiousness (r = - 0.17, p < 0.01), emotional stability (r = - 0.27, p < 0.001) and agreeableness (r = - 0.18, p < 0.01) and disordered eating were observed in our sample of female exercisers. The multiple mediation analyses revealed that exercise dependence symptoms and obsessive-compulsive symptoms mediate the relationship between conscientiousness (β = 0.016, CI = [0.003, 0.031]), emotional stability (β = -0.012, CI = [- 0.028, - 0.002]), and disordered eating in female exercisers, whereas obsessive-compulsive symptoms (β = - 0.041, CI = [- 0.088, - 0.001]) but not exercise dependence symptoms are a mediator of the relationship between agreeableness and disordered eating.

CONCLUSIONS

Our findings can be used to improve the screening procedures for eating disorders in female exercisers as they contribute to a better understanding of the psychological mechanisms that underlie the associations between the Big Five personality traits and disordered eating.

Emotion Dynamics and Emotion Regulation in Anorexia Nervosa: A Systematic Review of Ecological Momentary Assessment Studies

Altered emotion dynamics and emotion regulation (ER) have been indicated in theoretical descriptions of abnormal emotional functioning, which contributes to the development and maintenance of anorexia nervosa (AN). Ecological momentary assessment (EMA) has recently become popular in research on eating disorders. It is a source of new insights into the psychopathology of AN as it enables intensive long-term tracking of everyday experiences and behaviours of individuals through repeated self-reports. The following systematic review aims to synthesize research on the use of EMA when evaluating emotion dynamics and ER in AN. Specific studies were identified with the use of MEDLINE, PsycINFO, and Scopus databases. A supplemental search was performed in reference lists of the relevant publications. As a result, 27 publications were identified and included in the systematic review. The findings from the reviewed studies point to various disturbed components of emotion dynamics as well as to unique associations of maladaptive ER strategies with specific abnormalities in emotion dynamics in AN. Limitations of the studies were discussed as well. An outlook for further research in the field was provided in the last section of the paper.

Measuring exercise in eating disorder patients: a Delphi study to aggregate clinical and research knowledge

BACKGROUND

Exercise is a prominent feature of most eating disorders, and has been shown to have a number of detrimental effects on treatment outcome. There is some disagreement in the literature regarding the construct of compulsive exercise, and assessment and treatment varies significantly. This study therefore aimed to aggregate expert clinicians' and researchers' views on how to define and measure compulsive exercise in eating disorder patients. The expert panel was also asked about questionnaire design, and possible problems when measuring compulsive exercise.

METHOD

This study used the Delphi method to establish consensus amongst an expert panel. Three successive rounds of questionnaires were distributed to the panel over a period of six months. The first round consisted of four open-ended questions regarding the definition and measurement of compulsive exercise in eating disorder patients. For Round 2, 70 statements were derived from the answers, and panelists were asked to rate each item on a Likert-based scale. An 85% consensus level was chosen. In Round 3, 44 statements were re-rated by the panel.

RESULTS

Seventeen of 24 participants completed all three rounds of the study. Consensus was achieved for 63% of the items, while 18.5% reached near consensus, and 18.5% did not reach consensus after Round 3. The panel agreed on a number of important aspects of compulsive exercise. Several suggestions regarding the format of a questionnaire assessing this behavior were also endorsed. The panel further identified common difficulties when assessing compulsive exercise in eating disorder patients, notably a lack of consensus still apparent in the literature.

CONCLUSION

The current findings constitute a further step towards a unified definition of compulsive exercise, and contribute important suggestions to the measurement of this behavior.

Loss-of-Control Eating and Cardiometabolic Health in Relation to Overweight and Obesity

PURPOSE OF REVIEW

Loss-of-control (LOC) eating, the subjective feeling of being unable to control what or how much is being consumed, is common. The purpose of this review was to examine the relationships among LOC eating, cardiometabolic health, and weight management intervention outcomes.

RECENT FINDINGS

In youth and adults, LOC eating is associated with and predictive of psychological symptoms, high weight, and worsened cardiometabolic health. While LOC eating pre-intervention does not appear to impact outcomes, LOC eating during or following is associated with worsened outcomes from behavioral and surgical weight management interventions. When individuals are undergoing weight management interventions, it may be important to regularly assess for LOC eating. There is limited research on the examined relationships in diverse populations (e.g., males, individuals of a lower socio-economic status, racial/ethnic minority groups). Future research should examine these relationships across the lifespan in diverse populations, with a focus on how these relationships can be impacted through targeted interventions.

Don't Miss the Moment: A Systematic Review of Ecological Momentary Assessment in Suicide Research

Suicide and suicide-related behaviors are prevalent yet notoriously difficult to predict. Specifically, short-term predictors and correlates of suicide risk remain largely unknown. Ecological momentary assessment (EMA) may be used to assess how suicidal thoughts and behaviors (STBs) unfold in real-world contexts. We conducted a systematic literature review of EMA studies in suicide research to assess (1) how EMA has been utilized in the study of STBs (i.e., methodology, findings), and (2) the feasibility, validity and safety of EMA in the study of STBs. We identified 45 articles, detailing 23 studies. Studies mainly focused on examining how known longitudinal predictors of suicidal ideation perform within shorter (hourly, daily) time frames. Recent studies have explored the prospects of digital phenotyping of individuals with suicidal ideation. The results indicate that suicidal ideation fluctuates substantially over time (hours, days), and that individuals with higher mean ideation also have more fluctuations. Higher suicidal ideation instability may represent a phenotypic indicator for increased suicide risk. Few studies succeeded in establishing prospective predictors of suicidal ideation beyond prior ideation itself. Some studies show negative affect, hopelessness and burdensomeness to predict increased ideation within-day, and sleep characteristics to impact next-day ideation. The feasibility of EMA is encouraging: agreement to participate in EMA research was moderate to high (median = 77%), and compliance rates similar to those in other clinical samples (median response rate = 70%). More individuals reported suicidal ideation through EMA than traditional (retrospective) self-report measures. Regarding safety, no evidence was found of systematic reactivity of mood or suicidal ideation to repeated assessments of STBs. In conclusion, suicidal ideation can fluctuate substantially over short periods of time, and EMA is a suitable method for capturing these fluctuations. Some specific predictors of subsequent ideation have been identified, but these findings warrant further replication. While repeated EMA assessments do not appear to result in systematic reactivity in STBs, participant burden and safety remains a consideration when studying high-risk populations. Considerations for designing and reporting on EMA studies in suicide research are discussed.

Sensor technology in eating disorders research: A systematic review

OBJECTIVE

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.

METHOD

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.

RESULTS

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.

DISCUSSION

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.

PUBLIC SIGNIFICANCE STATEMENT

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.

Applying User-Centered Design Methods to Understand Users' Day-to-Day Experiences Can Inform a Mobile Intervention for Binge Eating and Weight Management

Introduction: Weight loss apps to date have not directly addressed binge eating. To inform the design of a new mobile behavioral intervention that addresses binge eating and weight management, we applied user-centered design methods to qualitatively assess how target intervention consumers experience these conditions in their day-to-day lives. Methods: The participants were 22 adults with self-reported obesity (body mass index ≥30) and recurrent binge eating (≥12 episodes in 3 months) who were interested in losing weight and reducing binge eating. The participants completed a digital diary study, which is a user-centered design technique for capturing individuals' day-to-day experiences in relevant contexts. Qualitative data describing the participants' experiences with binge eating and obesity were analyzed using thematic analysis. The results were then used to create personas (i.e., character archetypes of different intervention consumers). Results: The participants described triggers for binge eating and indicated that binge eating and excess weight negatively impact their mental health, physical health, and quality of life. The resulting personas reflected five different struggles individuals with these health problems experience in managing their binge eating and weight. Conclusions: Individuals with binge eating and obesity have varying precipitants of problematic eating as well as varying motivations for and challenges to behavior change. To meet the needs of all who seek intervention, an ideal intervention design will account for variations in these factors and be relevant to diverse experiences. Insights from the diary study and resulting personas will inform the next phases of the user-centered design process of iteratively designing prototypes and testing the intervention in practice.

Emotional eating in healthy individuals and patients with an eating disorder: evidence from psychometric, experimental and naturalistic studies

Emotional eating has traditionally been defined as (over)eating in response to negative emotions. Such overeating can impact general health because of excess energy intake and mental health, due to the risks of developing binge eating. Yet, there is still significant controversy on the validity of the emotional eating concept and several theories compete in explaining its mechanisms. The present paper examines the emotional eating construct by reviewing and integrating recent evidence from psychometric, experimental and naturalistic research. Several psychometric questionnaires are available and some suggest that emotions differ fundamentally in how they affect eating (i.e. overeating, undereating). However, the general validity of such questionnaires in predicting actual food intake in experimental studies is questioned and other eating styles such as restrained eating seem to be better predictors of increased food intake under negative emotions. Also, naturalistic studies, involving the repeated assessment of momentary emotions and eating behaviour in daily life, are split between studies supporting and studies contradicting emotional eating in healthy individuals. Individuals with clinical forms of overeating (i.e. binge eating) consistently show positive relationships between negative emotions and eating in daily life. We will conclude with a summary of the controversies around the emotional eating construct and provide recommendations for future research and treatment development.

The role of affect in the maintenance of binge-eating disorder: Evidence from an ecological momentary assessment study

Affect regulation models of eating disorder behavior, which predict worsening of affect prior to binge-eating episodes and improvement in affect following such episodes, have received support in anorexia nervosa and bulimia nervosa. However, limited work has examined the trajectories of affect surrounding binge eating in binge-eating disorder (BED). In the current study, ecological momentary assessment data from 112 men and women with BED were used to examine the trajectories of positive affect (PA), negative affect (NA), guilt, fear, hostility, and sadness relative to binge-eating episodes. Prior to binge episodes, PA significantly decreased, whereas NA and guilt significantly increased. Following binge episodes, levels of NA and guilt significantly decreased and PA stabilized. Overall, results indicate improvements in affect following binge-eating episodes, suggesting that binge eating may function to alleviate unpleasant emotional experiences among individuals with BED, which is consistent with affect regulation models of eating pathology. Because improvements in negative affect were primarily driven by change in guilt, findings also highlight the relative importance of understanding the relationship between guilt and binge-eating behavior within this population. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

A developmental framework of binge-eating disorder based on pediatric loss of control eating

Although binge-eating disorder may manifest in childhood, a significantly larger proportion of youth report episodes involving a loss of control while eating, the hallmark feature of binge eating that predicts excess weight gain and obesity. Adults with binge-eating disorder often report that symptoms emerged during childhood or adolescence, suggesting that a developmental perspective of binge eating may be warranted. Thus, loss of control eating may be a marker of prodromal binge-eating disorder among certain susceptible youth. The present article offers a broad developmental framework of binge-eating disorder and proposes areas of future research to determine which youths with loss of control eating are at risk for persistent and exacerbated behavior that may develop into binge-eating disorder and adult obesity. To this end, this article provides an overview of loss of control eating in childhood and adolescence, including its characterization, etiology, and clinical significance, with a particular focus on associations with metabolic risk, weight gain, and obesity. A conceptual model is proposed to further elucidate the mechanisms that may play a role in determining which youths with loss of control are at greatest risk for binge-eating disorder and obesity. Ways in which treatments for adult binge-eating disorder may inform approaches to reduce loss of control eating and prevent excess weight gain in youth are discussed. (PsycINFO Database Record (c) 2020 APA, all rights reserved).

Introduction to the special issue on advancing assessment of, and interventions for, eating disorders via innovative uses of technology

The aim of this editorial is to introduce a Special Issue of the International Journal of Eating Disorders on "Advancing Assessment of, and Interventions for, Eating Disorders via Innovative Uses of Technology." The 10 contributions to the Special Issue focus on the following main questions: (a) How can we optimize technology-enhanced interventions for eating disorders? (b) To what extent can technology help professionals to reach underserved populations? (c) How can innovative technology-enhanced tools improve assessment and treatment of eating disorders? The findings cumulatively suggest that technology can play a critical role in the detection and treatment of eating disorders, and may be used to enhance understanding of the etiology, maintenance, and course of these conditions. The contributions to this Special Issue have important implications for the conceptualization, design, and evaluation of technology-enhanced interventions as well as for the optimization of current assessment methods. Hopefully, they will stimulate future research in this quickly evolving field.