Relationships between nonappearance self-discrepancy, weight discrepancy, and binge eating disorder symptoms.

Abstract

Purpose

Self-discrepancy (i.e., perceived differences between one's actual self and personal standards) has been associated with binge eating disorder (BED) symptoms. However, little is known about how weight discrepancy (i.e., the difference between one's actual and ideal weights) interacts with or is distinguished from nonappearance self-discrepancy (discrepancy unrelated to weight or shape) in predicting BED severity. The current study examined how these two forms of discrepancy independently and interactively relate to BED and associated symptoms to elucidate how facets of self-discrepancy may operate to precipitate and maintain BED.

Methods

Adults with BED (N = 111) completed questionnaires and interviews prior to treatment that assessed self-discrepancy (computerized selves) and weight discrepancy (assessed during the Eating Disorder Examination [EDE]) as predictors of global eating disorder (ED) symptomatology (EDE Global score), depression (Beck Depression Inventory), anxiety (State-Trait Anxiety Inventory), self-esteem (Rosenberg Self-Esteem Scale), and ED-related impairment (Clinical Impairment Assessment).

Results

Multivariate regression models indicated nonappearance self-discrepancy and weight discrepancy were not significantly related to the severity of global ED symptoms, but both independently predicted impairment (ps < 0.05). Nonappearance self-discrepancy, but not weight discrepancy, was also associated with higher depression (p = 0.001), anxiety (p < 0.001), and lower self-esteem (p < 0.001).

Conclusion

These findings suggest distinct associations of weight discrepancy and nonappearance self-discrepancy with ED and related symptoms, as well as each of these constructs' relevance to everyday functioning in BED. The results also highlight potential avenues for future research to examine mechanistic pathways by which self-discrepancy influences BED severity.

Level of evidence

V, descriptive cross-sectional study.

Department

Description

Provenance

Subjects

Humans, Body Weight, Cross-Sectional Studies, Anxiety, Adult, Binge-Eating Disorder, Surveys and Questionnaires, Feeding and Eating Disorders

Citation

Published Version (Please cite this version)

10.1007/s40519-020-00975-8

Publication Info

Lantz Lesser, Elin, Kathryn E Smith, Timothy J Strauman, Ross D Crosby, Scott G Engel, Scott J Crow, Carol B Peterson, Stephen A Wonderlich, et al. (2021). Relationships between nonappearance self-discrepancy, weight discrepancy, and binge eating disorder symptoms. Eating and weight disorders : EWD, 26(5). pp. 1571–1580. 10.1007/s40519-020-00975-8 Retrieved from https://hdl.handle.net/10161/31185.

This is constructed from limited available data and may be imprecise. To cite this article, please review & use the official citation provided by the journal.

Scholars@Duke

Strauman

Timothy J. Strauman

Professor of Psychology and Neuroscience

Professor Strauman’s work is grounded in the premise that mental health and well-being are fundamentally shaped by self-regulation—how individuals pursue goals, respond to challenges, and adapt over time. His research integrates clinical psychology, affective neuroscience, and behavioral science to characterize the psychological and neurobiological systems that support self-regulation, and to understand how disruptions in these systems contribute to vulnerability to depression and related conditions.

Across a program of experimental, clinical, and neuroimaging research, his work has examined self-regulation as a multi-level system, including its cognitive and motivational mechanisms, its development through socialization, and its links to affective and immunological processes. This work has also informed the development and evaluation of novel interventions targeting self-regulatory dysfunction.

More recently, his work has focused on translating this science of self-regulation into scalable approaches to intervention and prevention. This includes the development of new models of treatment that target regulatory processes across disorders, as well as efforts to extend effective self-regulation skills beyond traditional clinical settings and into everyday contexts. This translational focus reflects a broader aim of building integrated, system-level approaches to mental health that can improve outcomes at population scale.


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