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Updated: Dec 22, 2025

A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis
Published on: May 10, 2022
Perfectionism and impulsivity based risk profiles in eating disorders
Kärol Soidla1, Kirsti Akkermann1
1Institute of Psychology, University of Tartu, Näituse, Estonia.
This study identified distinct personality-based profiles in women with eating disorders (ED), revealing new classifications beyond traditional diagnoses. These profiles, based on perfectionism and impulsivity, may improve treatment selection and response prediction for ED.
Area of Science:
- Psychiatry
- Clinical Psychology
- Behavioral Science
Background:
- Current eating disorder (ED) classification has limitations, including symptom variability and poor treatment response prediction.
- Classifying individuals by personality traits may better reflect underlying causes of ED.
Purpose of the Study:
- To identify latent profiles of individuals with ED based on perfectionism, impulsivity, and ED symptoms.
- To explore alternative classification systems for ED beyond traditional diagnostic categories.
Main Methods:
- Latent profile analysis was conducted on a mixed sample of 274 women (164 with ED, 110 controls).
- A second analysis focused solely on the 164 individuals diagnosed with ED.
- Perfectionism facets, impulsivity, and ED symptoms were used as indicator variables.
Main Results:
- A five-class model best fit the mixed sample: moderately impulsive, high functioning, purely perfectionistic, emotionally dysregulated, and behaviorally dysregulated.
- A four-class solution emerged for the ED-only sample, merging the emotionally and behaviorally dysregulated classes.
- These profiles differentiated based on perfectionism, impulsivity, ED symptom severity, and comorbidities.
Conclusions:
- Beyond high-functioning and over/undercontrolled profiles, new undercontrolled classes emerged.
- These distinct profiles offer insights into ED etiology and may guide personalized treatment strategies.
- Understanding these personality-driven profiles can enhance treatment choice and predict response in eating disorder patients.
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