ArticleJournal of psychiatric research2020
Examining heterogeneity of binge-eating disorder using latent class analysis.
Article in Journal of psychiatric research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 20 citations in OpenAlex.
- Addressing Heterogeneity in Binge Eating Disorder: A Cluster Analysis Approach Based on Age of Onset, Clinical and Psychopathological Features.European eating disorders review : the journal of the Eating Disorders Association · 2026Article
- Psychometric characteristics of DSM-5 eating disorder diagnostic criteria: support for a transdiagnostic approach.Journal of eating disorders · 2026Article
- Multimodal machine learning reveals neurobiological signatures of binge-type eating disorders.Frontiers in neuroscience · 2026Article
- Distinct stress, eating, and body image phenotypes among university students: a latent class analysis in Saudi Arabia.Frontiers in public health · 2026Article
- Acceptability of a personalised single-session feedback intervention for eating disorders: a qualitative content analysis.Journal of eating disorders · 2025Article
- Survival differences in malignant meningiomas: a latent class analysis using SEER data.Discover oncology · 2025Article
- Empirical Approaches to the Classification of Avoidant/Restrictive Food Intake Disorder.The International journal of eating disorders · 2025Article
- Using latent class analysis to identify different clinical profiles according to food addiction symptoms in obesity with and without binge eating disorder.Journal of behavioral addictions · 2024Article
- Predictors of Treatment Outcome in Eating Disorders: A Roadmap to Inform Future Research Efforts.Current psychiatry reports · 2023Review
- Distinct patterns of problematic smartphone use and related factors in Chinese college students.BMC psychiatry · 2022Article
- A network approach can improve eating disorder conceptualization and treatment.Nature reviews psychology · 2022Article
- Identification of an endocannabinoid gut-brain vagal mechanism controlling food reward and energy homeostasis.Molecular psychiatry · 2022Article
- Clinical aspects of binge eating disorder: A cross-sectional mixed-methods study of binge eating disorder experts' perspectives.Frontiers in psychiatry · 2022Article
- The relationships between negative emotions and latent classes of smartphone addiction.PloS one · 2021Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
There is significant variability in the type and severity of symptoms reported by individuals diagnosed with binge-eating disorder (BED). Using latent class analysis (LCA), the current study aimed to investigate potential sources of heterogeneity among individuals with BED. Participants were 775 treatment-seeking adults with DSM-IV-defined BED. Doctoral research clinicians reliably assessed participants for BED and associated eating-disorder psychopathology using the Structured Clinical Interview for DSM-IV Disorders and the Eating Disorder Examination (EDE) interview, measured weight and height, and participants completed a battery of self-report measures. Based on fit statistics and class interpretability, a 2-class model yielded the best overall fit to the data. The two classes were most distinct with respect to differences in body image concerns, distress about binge-eating, and depressive symptomology. Number of binge episodes were significantly different between classes, though the effect was much smaller. Body mass index was not a significant covariate in the majority of models. The results show that many of the features currently used to define BED (e.g., binge-eating frequency) are not helpful in explaining heterogeneity among individuals with BED. Instead, body image disturbances, which are not currently included as a part of the diagnostic classification system, appear to differentiate distinct subgroups of individuals with BED. Future research examining subgroups based on body image could be integral to resolving ongoing conflicting evidence related to the etiology and maintenance of BED.
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