Emotion dysregulation and eating disorder symptoms: a network analysis in college students with subclinical eating disorders

情绪失调与饮食障碍症状:一项针对亚临床饮食障碍大学生的网络分析

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Abstract

BACKGROUND: Emotion dysregulation is a critical factor in the development and maintenance of eating disorders (EDs), but the specific associations between emotion dysregulation dimensions and specific eating disorder symptoms in subclinical populations remain unclear. This study investigated the unique associations in college students with subclinical eating disorders using a network analysis approach. METHODS: A total of 282 college students with subclinical eating disorders were screened with an online questionnaire. They completed the Eating Disorder Examination Questionnaire (EDE-Q ≥ 1.27) and the Difficulties in Emotion Regulation Scale. Network analysis was applied to identify central and bridge nodes, as well as key connections between eating disorder symptoms and emotion dysregulation dimensions. RESULTS: Preoccupation with food and eating emerged as the most influential symptom in the network. The Clarity and Non-acceptance dimensions of emotion dysregulation acted as critical bridge nodes linking emotion dysregulation and ED symptoms. Specific dimensions of emotion dysregulation demonstrated distinct associations with different ED symptomatology. For instance, the Impulse dimension was associated with restriction. The Goals dimensions were associated with lower levels of binge eating and compensatory behaviors. The Strategy dimension was mainly related to ED symptoms accompanying emotional experience. CONCLUSIONS: The findings highlight the role of emotion dysregulation in the maintenance of subclinical EDs and underscore the need for targeted interventions focusing on emotional understanding and acceptance. While network analysis provides novel insights into early-stage ED pathology, limitations such as cross-sectional design and reliance on self-reported data should be considered. Future longitudinal studies are needed to validate these associations.

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