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Updated: May 5, 2026

A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis
Published on: May 10, 2022
A Combined Network Analysis for Orthorexia Nervosa, Obsessive Compulsive, and Eating Disorder Symptoms
Caterina Lombardo1, Silvia Cerolini1,2, Andrea Zagaria1,3
1Department of Psychology, Sapienza University of Rome, 00185 Rome, Italy.
Abstract:
Orthorexia nervosa (ON) is a clinical condition characterized by rigid and inflexible rules about consuming healthy food, potentially leading to harmful consequences for physical and mental health and significant impairment in major life domains. Overlap or independence between ON and other clinical entities, like other eating disorders (EDs) or obsessive compulsive disorder (OCD), still needs clarification. Objectives: This study aims to examine the overlap versus independence of core symptoms of ON from these two classes of disorders using a network approach. Methods: A group of 422 university students (71.8% females), with a mean age of 20.70 years (SD = 3.44), completed questionnaires assessing those symptoms. Results: Results revealed that no ON symptoms were nested within the OCD and ED clusters, and vice versa, thereby supporting their empirical distinctiveness. Although the symptoms were organised into distinct communities, ON symptoms were more strongly linked to EDs than to OCD. Bridge symptom analyses revealed that the nodes "Emotional consequences due to healthy eating", "Worry about healthy food", and "Obsessing" exhibited the highest bridge strength connecting clusters of ON, EDs, and OCD symptoms. Conversely, the nodes "Food safety" and "Ordering" showed the lowest bridge strength, suggesting that these nodes played only a marginal role in linking ON, EDs, and OCD. Conclusions: From a nosological perspective, the findings provide empirical support for conceptualizing ON as a distinct yet symptomatically related condition within the broader spectrum of eating-related psychopathology, while acknowledging that definitive nosological classification requires further longitudinal and clinical research.
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