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Obsessive-compulsive symptoms in eating disorders: A network investigation

Int J Eat Disord. 2020 Mar;53(3):362-371. doi: 10.1002/eat.23196. Epub 2019 Nov 20.

Abstract

Objective: Eating disorders (EDs) are complex, heterogeneous, and severe psychiatric syndromes. They are highly comorbid with obsessive-compulsive disorder (OCD) which exacerbates the course of illness and impedes treatment. However, the direct functional relations between EDs and OCD symptoms remain largely unexplored. Hence, using network analysis, we investigated the relationship between ED and OCD at the level of symptoms in a heterogeneous clinical sample.

Method: We used cross sectional data of 303 treatment-seeking patients with clinically relevant ED and OCD pathology. We constructed a regularized partial correlation network that featured both ED and OCD symptoms as nodes. To determine each symptom's influence, we calculated expected influence (EI) as an index of symptom centrality (i.e., "importance"). Bridge symptoms (i.e., symptoms from one syndromic cluster that have strong connections to symptoms of another syndromic cluster) were identified by computing bridge expected influence metrics.

Results: Fear of weight gain and dietary restraint were especially important among the ED symptoms. Interference due to obsessions was the key feature of OCD. ED and OCD clustered distinctly with few potential bridges between clusters.

Discussion: This study underscores the importance of cognitive symptoms for both ED and OCD although direct functional links between the two clusters are missing. Potentially, a network incorporating nodes capturing features of personality may account for diagnostic comorbidity better than specific symptoms of EDs or features of OCD do.

Keywords: comorbidity; core psychopathology; eating disorders; network analysis; obsessive-compulsive disorders.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Comorbidity
  • Cross-Sectional Studies
  • Feeding and Eating Disorders / complications*
  • Female
  • Humans
  • Male
  • Middle Aged
  • Obsessive-Compulsive Disorder / epidemiology*
  • Young Adult