Category: Eating Disorders

Symposium

Mixture Modeling to Characterize Anorexia Nervosa: Personality Traits and Eating Disorder Psychopathology and Behaviors

Sunday, November 19
8:30 AM - 10:00 AM
Location: Sapphire 400, Level 4, Sapphire Level

Keywords: Eating Disorders | Statistics
Presentation Type: Symposium

Individuals with anorexia nervosa (AN) are classified into restricting and binge-eating/purging subtypes, and this classification has limited clinical utility. Empirically-derived subgroups of individuals with AN based on personality traits or eating disorder (ED) psychopathology and behaviors have been identified. Research suggests that varying patterns of eating disorder or personality psychopathologies may have meaningful scientific and clinical implications. However, previous studies employed statistical methods that assume either latent dimensions or latent categories, and do not provide information as to whether AN is best modeled as a discrete or continuous disorder. Furthermore, the clinical utility of a classification that incorporates both personality traits and ED psychopathology and behaviors is unknown. Thus, the purpose of this study was to test whether AN is best modeled as categorical, dimensional, or hybrid categorical-dimensional based on ED psychopathology and behaviors and comorbid personality psychopathology, and to evaluate the clinical utility of identified best model as predictor of response to intensive treatment and readmission. Participants will be individuals with AN receiving intensive treatment (N = 194) who completed questionnaire and interview assessments within two weeks of treatment admission and discharge. Mixture modeling will be used to combine dimensional and categorical components of ED psychopathology and behaviors and comorbid personality psychopathology to determine the best model of AN. Univariate/multivariate analyses will be used to evaluate the clinical utility of identified best model as predictor of response to intensive treatment and readmission. Findings may suggest that the identification of clinically relevant characterization of AN will potentially provide a better understanding of the heterogeneity among this population. Furthermore, varying patterns of eating disorder and personality psychopathologies may speak to differences in etiologic processes, course of the ED, and implications for treatment options. 

Karen M. Jennings

Post-Doctoral Fellow
University of Chicago

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Mixture Modeling to Characterize Anorexia Nervosa: Personality Traits and Eating Disorder Psychopathology and Behaviors



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