Addressing Heterogeneity in Binge Eating Disorder: A Cluster Analysis Approach Based on Age of Onset, Clinical and Psychopathological Features.
Objective: This study investigates clinical heterogeneity in patients with binge eating disorder (BED) and its association with treatment outcomes. Methods: A two-step cluster analysis was conducted on a clinical sample of 196 BED patients, using an agglomerative hierarchical procedure based on both...
| Authors: | ; ; ; ; ; ; ; ; ; ; |
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| Format: | Article |
| Status: | Published version |
| Publication date: | 2025 |
| Country: | España |
| Institution: | Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya) |
| Repository: | Recercat. Dipósit de la Recerca de Catalunya |
| OAI Identifier: | oai:dnet:recercat____::495494f9654aaa688a78636aa184e2e0 |
| Online Access: | https://hdl.handle.net/2445/229424 |
| Access Level: | Open access |
| Keyword: | Trastorns de la conducta alimentària Anàlisi de conglomerats Eating disorders Cluster analysis |
| Summary: | Objective: This study investigates clinical heterogeneity in patients with binge eating disorder (BED) and its association with treatment outcomes. Methods: A two-step cluster analysis was conducted on a clinical sample of 196 BED patients, using an agglomerative hierarchical procedure based on both categorical and quantitative measures—psychopathological symptoms, personality traits, emotional dysregulation, body composition, and food addiction. A subsequent comparison between clusters assessed therapy outcomes. Results: Two distinct clusters emerged: C1 (n = 77) and C2 (n = 119). C2 patients exhibited a more dysfunctional profile, marked by more frequent binge episodes, higher eating psychopathology, greater emotion regulation difficulties, higher impulsivity levels, worse psychopathological state, higher food addiction levels, and personality traits reflecting greater harm avoidance and lower self-directedness and cooperativeness. While clusters did not differ by age, C2 had earlier age of onset and longer duration of the disorder. In contrast, C1 showed a more functional profile, later age of onset, lower total body fat mass, and better treatment outcomes. Conclusion: These findings highlight heterogeneity in BED, particularly regarding age of onset and associated clinical features, which may influence treatment response. The results suggest the need for distinct treatment strategies and more personalised therapeutic approaches tailored to patient subtypes. |
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