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ABSTRACT: Background
Mental disorders may emerge as the result of interactions between observable symptoms. Such interactions can be analyzed using network analysis. Several recent studies have used network analysis to examine eating disorders, indicating a core role of overvaluation of weight and shape. However, no studies to date have applied network models to binge-eating disorder (BED), the most prevalent eating disorder.Methods
We constructed a cross-sectional graphical LASSO network in a sample of 788 individuals with BED. Symptoms were assessed using the Eating Disorders Examination Interview. We identified core symptoms of BED using expected influence centrality.Results
Overvaluation of shape emerged as the symptom with the highest centrality. Dissatisfaction with wei
SUBMITTER: Wang SB
PROVIDER: S-EPMC7194445 | biostudies-literature | 2019 Aug
REPOSITORIES: biostudies-literature