Affect-based profiles of bulimia nervosa: The utility and validity of indicators assessed in the natural environment

The maltreated eco-phenotype of eating disorders: A new diagnostic specifier? A systematic review of the evidence and comprehensive description

This systematic review aimed to summarize the evidence on the existence of a distinct phenotypic expression of Eating Disorders (EDs) associated with childhood maltreatment (CM), the so-called maltreated eco-phenotype of EDs. PRISMA standards were followed. Articles providing data about the characteristics of individuals with an ED reporting CM were included. Relevant results were extracted and summarized. A quality assessment was performed. A total of 1207 records were identified and screened, and 97 articles published between 1994 and 2023 were included. Findings revealed distinct biological and clinical features in patients with EDs reporting CM, including neuroanatomical changes, altered stress responses, ghrelin levels, inflammation markers, and gut microbiota composition. Clinically, CM correlated with severer eating behaviors, higher psychiatric comorbidity, impulsivity, emotional dysregulation, and risky behaviors. Additionally, CM was associated with poorer treatment outcomes, especially in general psychopathology and psychiatric comorbidities. This review highlighted the need to move towards an etiologically informed nosography, recognizing CM not merely as a risk factor, but also as an etiologic agent shaping different eco-phenotypic variants of EDs.

Emotion word use patterns and eating disorder symptoms: Considering the circumplex model of affect and basic emotions theory

OBJECTIVE

No prior research has examined whether the types of emotion words individuals use to describe their affective experiences cluster along affective dimensions inherent within leading affect theories, or how such emotion word use maps onto eating disorder (ED) symptoms.

METHOD

To address these gaps, latent profile analysis was used to empirically-identify groups of young adults (N = 352) by how often they use emotion words characterized by the circumplex model of affect's valence-arousal dimensions and basic emotions theory's basic versus complex emotion word categorizations. Auxiliary analyses examined differences in groups' ED symptoms (binge eating, purging, restricting, excessive exercising, muscle building, body dissatisfaction, and cognitive restraint).

RESULTS

The 5-profile valence-arousal model and 4-profile basic-complex model were the best-fitting theoretically-supported solutions. Valence-arousal profiles with greater negative affect valence generally exhibited worse ED pathology than others, whereas profiles with greater positive affect valence produced inconsistent risk- and protective-factor relations with distinct ED symptoms. Basic-complex profiles characterized by frequent use of both basic and complex emotion words generally had the greatest ED severity, and profiles with greater basic emotion word use exhibited elevated binge eating.

DISCUSSION

Individual-differences in young adults' emotion word use patterns, versus sample-level averages only, warrant further consideration in ED prevention and research.

PUBLIC SIGNIFICANCE

The present findings suggest that young adults differ in the types of words they use to describe their emotional experiences, and that these unique emotion word use patterns are linked to distinct eating disorder symptoms. These sources of variation warrant further consideration in eating disorders prevention efforts and future research seeking to advance affect-based eating disorders theories.

Novel digital methods for gathering intensive time series data in mental health research: scoping review of a rapidly evolving field

Recent technological advances enable the collection of intensive longitudinal data. This scoping review aimed to provide an overview of methods for collecting intensive time series data in mental health research as well as basic principles, current applications, target constructs, and statistical methods for this type of data.In January 2021, the database MEDLINE was searched. Original articles were identified that (1) used active or passive data collection methods to gather intensive longitudinal data in daily life, (2) had a minimum sample size of N ⩾ 100 participants, and (3) included individuals with subclinical or clinical mental health problems.In total, 3799 original articles were identified, of which 174 met inclusion criteria. The most widely used methods were diary techniques (e.g. Experience Sampling Methodology), various types of sensors (e.g. accelerometer), and app usage data. Target constructs included affect, various symptom domains, cognitive processes, sleep, dysfunctional behaviour, physical activity, and social media use. There was strong evidence on feasibility of, and high compliance with, active and passive data collection methods in diverse clinical settings and groups. Study designs, sampling schedules, and measures varied considerably across studies, limiting the generalisability of findings.Gathering intensive longitudinal data has significant potential to advance mental health research. However, more methodological research is required to establish and meet critical quality standards in this rapidly evolving field. Advanced approaches such as digital phenotyping, ecological momentary interventions, and machine-learning methods will be required to efficiently use intensive longitudinal data and deliver personalised digital interventions and services for improving public mental health.

Glucose variability: A physiological correlate of eating disorder behaviors among individuals with binge-spectrum eating disorders

OBJECTIVES

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.

METHODS

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.

RESULTS

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 (f2  = 0.25). Post hoc analyses indicated that binge eating frequency was significantly associated with glucose variability, while episodes of 5+ hours without eating were not.

DISCUSSION

Glucose 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.

PUBLIC SIGNIFICANCE

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.

Feasibility, Acceptability, and Preliminary Target Engagement of a Healthy Physical Activity Promotion Intervention for Bulimia Nervosa: Development and Evaluation via Case Series Design

Bulimia nervosa (BN) is characterized by a pattern of binge eating and compensatory behaviors as well as an overemphasis on body weight and shape in self-evaluation. Although cognitive behavioral therapy (CBT) is efficacious, recent reviews suggest that only 30% of patients reach abstinence at posttreatment. One potential reason for these poor outcomes is that CBT fails to adequately reduce elevated negative affect (NA) and shape and weight concern, which have been shown to be correlated with poorer treatment outcomes in BN. Therefore, novel treatment components that focus on improving NA and shape and weight concern are needed in order to enhance outcomes. Promoting physical activity (PA) is a promising avenue through which to reduce NA and improve body image in healthy individuals, other clinical populations (e.g., individuals with depression or anxiety), and individuals with eating disorders. While prescribing PA for individuals with BN has been controversial (due to concerns that exercise maybe be used to compensate for binge episodes or become driven or compulsive), this approach may have many benefits, including promoting healthy lifetime exercise habits that reduce likelihood of relapse through the improvement of emotion regulation skills and weight regulation. Given the promise of PA for targeting key maintenance factors of BN, we developed a 12-session healthy PA promotion intervention for BN and tested initial feasibility, acceptability, and preliminary target engagement in an iterative case series design (n = 3). The treatment provided cognitive-behavioral skills designed to identify, practice, and achieve behavioral goals while asking patients to engage in up to 150 minutes of moderate-to-vigorous PA per week, which was preplanned during each session with the client's therapist. Results suggested that the healthy PA promotion intervention was both feasible and acceptable to deliver. In addition, the intervention resulted in a clinically significant decrease in BN symptom frequency in each participant. Further, participants showed clinically significant decreases in NA and shape and weight concern. The current study demonstrates that healthy PA interventions can have beneficial effects on BN symptoms, NA, and shape and weight concern. However, due to the small sample size, conclusions must be treated with caution. Future research should investigate additional approaches for promoting healthy PA and include a larger sample in order to further test initial efficacy of this treatment approach.

Ecological momentary assessment in eating disorders research: recent findings and promising new directions

PURPOSE OF REVIEW

Ecological momentary assessment (EMA) is an important tool for clarifying common precipitants and consequences of eating disorder symptoms that might be meaningfully targeted in treatments for these pernicious disorders. This article reviews recent advances in EMA work conducted within clinical eating disorder samples.

RECENT FINDINGS

Published studies from the past 2.5 years can broadly be categorized as involving functional analysis of eating disorder behaviors, examining hypothesized predictors of eating disorder symptoms, or applying novel approaches to EMA data. Examples of the latter category include the use of latent profile analysis with EMA data, integration of neurocognitive (e.g., ambulatory inhibitory control task) or biological indicators (e.g., fMRI, plasma leptin), and examining changes in associations between momentary variables over time through multiwave EMA data collection.

SUMMARY

EMA studies in eating disorders have advanced significantly in recent years, with findings demonstrating strong support for the emotion regulation function of eating disorder behaviors and momentary predictors of distinct eating disorder symptoms. The use of novel statistical and data collection approaches represent exciting areas of growth, with likely implications for intervention approaches, including those that utilize ambulatory technology to deliver treatment.