Literature DB >> 33159404

Transdiagnostic vulnerability factors in eating disorders: A network analysis.

Myriam Vervaet1, Louise Puttevils1,2, Ria H A Hoekstra3, Eiko Fried4, Marie-Anne Vanderhasselt1,2,5.   

Abstract

OBJECTIVE: Eating disorder (ED) symptoms and transdiagnostic vulnerability characteristics play a crucial role in the aetiology and maintenance of EDs. Over the last decade, researchers have started to model complex interrelations between symptoms using network models, but the literature is limited in that it has focused solely on symptoms and investigated-specific disorders while ignoring transdiagnostic aspects of mental health.
METHOD: This study tackles these challenges by investigating network relations among core ED symptoms, comorbid clinical symptoms (depression and anxiety) and empirically supported vulnerability and protective mechanisms (personality traits, maladaptive cognitive schemata, perfectionism and resilience) in a sample of 2302 treatment-seeking ED patients. We estimated a regularized partial correlation network to obtain conditional dependence relations among all variables. We estimated node centrality (interconnectivity) and node predictability (the overall magnitude of symptom inter-relationships).
RESULTS: The findings indicate a central role of overvigilance, excessive focus on inhibiting emotions and feelings, interoceptive awareness and perfectionism.
CONCLUSIONS: These results suggest that excessive control of bodily aspects by dietary restraint (possibly through inhibition) and interoceptive awareness may be important constructs that warrant future research in understanding vulnerability in EDs. We provide all code and data via the Open Science Framework.
© 2020 Eating Disorders Association and John Wiley & Sons Ltd.

Entities:  

Keywords:  eating disorders; inhibition; interoceptive awareness; network analysis; perfectionism

Year:  2020        PMID: 33159404     DOI: 10.1002/erv.2805

Source DB:  PubMed          Journal:  Eur Eat Disord Rev        ISSN: 1072-4133


  7 in total

1.  Open science practices for eating disorders research.

Authors:  Natasha L Burke; Guido K W Frank; Anja Hilbert; Thomas Hildebrandt; Kelly L Klump; Jennifer J Thomas; Tracey D Wade; B Timothy Walsh; Shirley B Wang; Ruth Striegel Weissman
Journal:  Int J Eat Disord       Date:  2021-09-23       Impact factor: 5.791

2.  Symptom Structure in Schizophrenia: Implications of Latent Variable Modeling vs Network Analysis.

Authors:  Samuel J Abplanalp; Michael F Green
Journal:  Schizophr Bull       Date:  2022-05-07       Impact factor: 7.348

3.  A Pilot Feasibility Study of Reconnecting to Internal Sensations and Experiences (RISE), a Mindfulness-Informed Intervention to Reduce Interoceptive Dysfunction and Suicidal Ideation, among University Students in India.

Authors:  April R Smith; Shruti Kinkel-Ram; William Grunwald; Tony Sam George; Vaishali Raval
Journal:  Brain Sci       Date:  2022-02-09

4.  Broad and Narrow Transdiagnostic Risk Factors in Eating Disorders: A Preliminary Study on an Italian Clinical Sample.

Authors:  Sara Iannattone; Silvia Cerea; Eleonora Carraro; Marta Ghisi; Gioia Bottesi
Journal:  Int J Environ Res Public Health       Date:  2022-06-04       Impact factor: 4.614

5.  Assessing negative core beliefs in eating disorders: revision of the Eating Disorder Core Beliefs Questionnaire.

Authors:  Amaani H Hatoum; Amy L Burton; Maree J Abbott
Journal:  J Eat Disord       Date:  2022-02-10

6.  Using network analysis to explore the association between eating disorders symptoms and aggressiveness in Bulimia nervosa.

Authors:  Giammarco Cascino; Francesca Marciello; Giulia D'Agostino; Rita Toricco; Eugenia Barone; Alessio Maria Monteleone
Journal:  Front Psychiatry       Date:  2022-08-24       Impact factor: 5.435

7.  A systematic review of network analysis studies in eating disorders: Is time to broaden the core psychopathology to non specific symptoms.

Authors:  Alessio Maria Monteleone; Giammarco Cascino
Journal:  Eur Eat Disord Rev       Date:  2021-05-03
  7 in total

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