Dataset Information

Optimizing digital health technologies to improve therapeutic skill use and acquisition alongside enhanced cognitive-behavior therapy for binge-spectrum eating disorders: Protocol for a randomized controlled trial.

ABSTRACT:

Objective

Adjunctive mobile health (mHealth) technologies offer promise for improving treatment response to enhanced cognitive-behavior therapy (CBT-E) among individuals with binge-spectrum eating disorders, but research on the key "active" components of these technologies has been very limited. The present study will use a full factorial design to (1) evaluate the optimal combination of complexity of two commonly used mHealth components (i.e., self-monitoring and microinterventions) alongside CBT-E and (2) test whether the optimal complexity level of these interventions is moderated by baseline self-regulation. Secondary aims of the present study include evaluating target engagement associated with each level of these intervention components and quantifying the component interaction effects (i.e., partially additive, fully additive, or synergistic effects).

Method

Two hundred and sixty-four participants with binge-spectrum eating disorders will be randomized to six treatment conditions determined by the combination of self-monitoring condition (i.e., standard self-monitoring or skills monitoring) and microinterventions condition (i.e., no microinterventions, automated microinterventions, or just-in-time adaptive interventions) as an augmentation to 16 sessions of CBT-E. Treatment outcomes will be measured using the Eating Disorder Examination and compared by treatment condition using multilevel models.

Results

Results will clarify the "active" components in mHealth interventions for binge eating.

Discussion

The present study will provide critical insight into the efficacy of commonly used digital intervention components (i.e., skills monitoring and microinterventions) alongside CBT-E. Furthermore, results of this study may inform personalization of digital intervention intensity based on patient profiles of self-regulation.

Public significance

This study will examine the relative effectiveness of commonly used components of application-based interventions as an augmentation to cognitive-behavioral therapy for binge eating. Findings from this study will inform the development of an optimized digital intervention for individuals with binge eating.

SUBMITTER: Juarascio AS

PROVIDER: S-EPMC10152929 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature

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Publications

Optimizing digital health technologies to improve therapeutic skill use and acquisition alongside enhanced cognitive-behavior therapy for binge-spectrum eating disorders: Protocol for a randomized controlled trial.

Juarascio Adrienne S AS Presseller Emily K EK Trainor Claire C Boda Sneha S Manasse Stephanie M SM Srivastava Paakhi P Forman Evan M EM Zhang Fengqing F

The International journal of eating disorders 20221130 2

<h4>Objective</h4>Adjunctive mobile health (mHealth) technologies offer promise for improving treatment response to enhanced cognitive-behavior therapy (CBT-E) among individuals with binge-spectrum eating disorders, but research on the key "active" components of these technologies has been very limited. The present study will use a full factorial design to (1) evaluate the optimal combination of complexity of two commonly used mHealth components (i.e., self-monitoring and microinterventions) alo ...[more]

PMID: 36448475

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Project description:ObjectivesElevated 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.MethodsParticipants 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.ResultsIndividuals 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.DiscussionGlucose 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 significanceThis 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.

Project description:ObjectiveAlthough several effective behavioral treatments for binge-eating disorder (BED) exist, there are racial disparities in treatment access, with African-Americans and/or Black individuals having some of the lowest rates of access to care. Little is known about the experience and treatment of binge eating (BE) and BED among Black women.MethodThis systematic review, conducted according to PRISMA guidelines, synthesizes information related to BE and BED in Black women.ResultsA total of N = 38 studies met our eligibility criteria. We did not identify any systematic risk of bias across studies. The majority of included studies used cross-sectional survey methodology, and relied on interview (EDE) and self-report measures (particularly the Binge Eating Scale, BES) for the assessment of BE. Outcomes were inconsistently measured across trials, and there are limited data on the results of evidence-based treatments for BE/BED in Black women.DiscussionAlthough Black women have similar or higher rates of BE than White women, most research on BE and BED has focused on White women, with Black individuals underrepresented in clinical trials. Future research should examine evidence-based treatments to prevent and treat BED in this population.ObjetivoAunque existen varios tratamientos conductuales que son efectivos para el Trastorno de Atracones (BED, por sus siglas en inglés), existen disparidades raciales en el acceso a tratamiento, con individuos Afroamericanos y/o personas de color teniendo algunas de las tasas más bajas de acceso al cuidado de la salud. Se sabe muy poco acerca de la experiencia y tratamiento del comer en atracones (BE, por sus siglas en inglés) y BED entre mujeres afroamericanas y/o de color. MÉTODO: Esta revisión sistemática, realizada bajo lineamientos de las guías PRISMA, sintetiza información relacionada con BE y BED en mujeres afroamericanas y/o de color.ResultadosUn total de N = 38 estudios cumplieron con nuestros criterios de elegibilidad. No identificamos ningún riesgo sistemático de sesgo entre los estudios. La mayoría de los estudios incluidos utilizaron una metodología de encuesta transversal y se basaron en la entrevista (EDE) y las medidas de autoinforme (en particular, la Binge Eating Scale, BES) para la evaluación de BE. Los resultados se midieron de manera inconsistente entre los ensayos, y hay datos limitados sobre los resultados de los tratamientos basados en la evidencia para BE/BED en mujeres afroamericanas y/o de color. DISCUSIÓN: Aunque las mujeres afroamericanas y/o de color tienen tasas similares o más altas de BE que las mujeres blancas, la mayoría de las investigaciones sobre BE y BED se han centrado en las mujeres blancas, con individuos afroamericanos y/o de color subrepresentados en ensayos clínicos. La investigación futura debería examinar los tratamientos basados en la evidencia para prevenir y tratar el BED en esta población.

Project description:ObjectiveThe relationship of dietary restraint in increasing risk for binge eating among individuals with binge-spectrum eating disorders (B-EDs) is well established. However, previous research has not yet identified whether these individuals exhibit heterogeneous profiles of dietary restraint and whether these profiles are associated with differences in eating pathology.MethodsIndividuals with B-EDs (N = 290) completed the Eating Disorder Examination. Latent profile analysis was conducted on dietary restraint frequency data, including restriction of overall amount of food consumed, avoidance of eating, desire for an empty stomach, food avoidance, and dietary rules. Identified latent profiles were compared on binge eating frequency, compensatory behaviors frequency, and ED pathology using the three-step procedure.ResultsA four-class model of dietary restraint best fit the data. Classes significantly differed in frequency of compensatory behaviors (F[3, 286] = 31.01, p < .001), EDE Eating Concern (F[3, 286] = 14.36, p < .001), EDE Shape Concern (F[3, 286] = 7.06, p < .001), EDE Weight Concern (F[3, 286] = 6.83, p < .001), and ED Pathology (F[3, 286] = 12.86, p < .001), but did not differ in frequency of objective (F[3, 286] = 2.45, p = .06) or subjective binge episodes (F[3, 286] = 1.87, p = .14).DiscussionIndividuals with B-EDs exhibit distinct profiles of dietary restraint, which are associated with frequency of compensatory behaviors and severity of ED pathology.Public significance statementIndividuals with binge-spectrum eating disorders have different patterns of restrictive eating symptoms. These profiles of restrictive eating behaviors are associated with differences in severity of compensatory behaviors and cognitive eating disorder symptoms, like shape and weight dissatisfaction. Understanding the relationships between profiles of restrictive eating behaviors and other eating disorder symptoms may allow for personalization of treatment and improvements in treatment efficacy.

Project description:BackgroundOnly a minority of people with eating disorders receive evidence-based psychological treatment. This is especially true for those with recurrent binge eating because the shame that accompanies binge eating affects help seeking and there is a shortage of therapists to provide psychological treatments. Digital programme-led interventions have the potential to overcome both barriers.ObjectiveThis study examined the acceptability and effectiveness of a new digital programme-led intervention directly based on enhanced cognitive behaviour therapy (CBT-E), which is an empirically supported psychological treatment for eating disorders.MethodsOne hundred and ten adults with recurrent binge eating (self-reporting characteristics consistent with binge eating disorder, bulimia nervosa, and similar conditions) were recruited through an advertisement on the website of the UK's national eating disorder charity, Beat. The intervention, called Digital CBTe, comprised 12 sessions over 8-12 weeks delivered autonomously (i.e., without external support). Participants completed self-report outcome measures of eating disorder features and secondary impairment at baseline, post-intervention, and 6-month follow-up.ResultsMost participants identified as female, White, and were living in the United Kingdom. Most participants (85%) self-reported features that resembled binge eating disorder, and the rest self-reported features that resembled bulimia nervosa (8%) and atypical bulimia nervosa (7%). On average, participants reported that the onset of their eating disorder was more than twenty years ago. Sixty-three percent of the participants completed Digital CBTe (i.e., completed active treatment sessions). Those who completed all sessions and the post-intervention assessment (n = 55, 50%) reported significant decreases in binge eating, eating disorder psychopathology, and secondary impairment at post-intervention. These improvements were maintained at follow-up. Large effect sizes were observed for all these outcomes using a completer analysis and post-intervention data (d = 0.91-1.43). Significant improvements were also observed for all outcomes at post-intervention in the intent-to-treat analysis, with medium-to-large effect sizes.DiscussionA substantial proportion of those who completed Digital CBTe and the post-intervention assessment experienced marked improvements. This provides promising data to support the conduct of a fully powered trial to test the clinical and cost-effectiveness of autonomous Digital CBTe.

Dataset Information

Optimizing digital health technologies to improve therapeutic skill use and acquisition alongside enhanced cognitive-behavior therapy for binge-spectrum eating disorders: Protocol for a randomized controlled trial.

Objective

Method

Results

Discussion

Public significance

Publications

Optimizing digital health technologies to improve therapeutic skill use and acquisition alongside enhanced cognitive-behavior therapy for binge-spectrum eating disorders: Protocol for a randomized controlled trial.

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