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. 2017 Nov:79:40-52.
doi: 10.1016/j.comppsych.2017.06.009. Epub 2017 Jun 28.

Understanding eating disorders within internalizing psychopathology: A novel transdiagnostic, hierarchical-dimensional model

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Understanding eating disorders within internalizing psychopathology: A novel transdiagnostic, hierarchical-dimensional model

Kelsie T Forbush et al. Compr Psychiatry. 2017 Nov.

Abstract

Background: Several problems with the classification and diagnosis of eating disorders (EDs) have been identified, including proliferation of 'other specified' diagnoses, within-disorder heterogeneity, and frequent diagnostic migration over time. Beyond problems within EDs, past research suggested that EDs fit better in a spectrum of internalizing psychopathology (characterized by mood and anxiety disorders) than in a separate diagnostic class.

Purpose: To develop a transdiagnostic, hierarchical-dimensional model relevant to ED psychopathology that: 1) reduces diagnostic heterogeneity, 2) includes important dimensions of internalizing psychopathology that are often excluded from ED diagnostic models, and 3) predicts clinical impairment.

Procedures: Goldberg's (2006) method and exploratory structural equation modeling were used to identify a hierarchical model of internalizing in community-recruited adults with EDs (N=207).

Findings: The lowest level of the hierarchy was characterized by 15 factors that defined specific aspects of eating, mood, and anxiety disorders. At the two-factor level, Internalizing bifurcated into Distress (low well-being, body dissatisfaction, suicidality, dysphoria, ill temper, traumatic intrusions) and Fear-Avoidance (claustrophobia, social avoidance, panic symptoms, dietary restricting, excessive exercise, and compulsions). Results showed that the lowest level of the hierarchy predicted 67.7% of the variance in clinical impairment. In contrast, DSM eating, mood, and anxiety disorders combined predicted 10.6% of the variance in impairment secondary to an ED.

Conclusions: The current classification model represents an improvement over traditional nosologies for predicting clinically relevant outcomes for EDs.

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