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Obsessive-Compulsive Symptoms and Other Symptoms of the At-risk Mental State for Psychosis: A Network Perspective

  • Hui Lin Ong
  • , Adela-Maria Isvoranu*
  • , Frederike Schirmbeck
  • , Philip McGuire
  • , Lucia Valmaggia
  • , Matthew J. Kempton
  • , Mark van der Gaag
  • , Anita Riecher-Rössler
  • , Rodrigo A. Bressan
  • , Neus Barrantes-Vidal
  • , Barnaby Nelson
  • , G. Paul Amminger
  • , Patrick McGorry
  • , Christos Pantelis
  • , Marie-Odile Krebs
  • , Merete Nordentoft
  • , Birte Glenthøj
  • , Stephan Ruhrmann
  • , Gabriele Sachs
  • , Bart P. F. Rutten
  • Jim van Os, Lieuwe de Haan, Denny Borsboom, Maria Calem, Stefania Tognin, Gemma Modinos, Sara Pisani, Emily Hedges, Eva Velthorst, Tamar C. Kraan, Daniella S. van Dam, Nadine Burger, Athena Politis, Joanne Goodall, Stefan Borgwardt, Erich Studerus, Ary Gadelha, Elisa Brietzke, Graccielle Asevedo, Elson Asevedo, Andre Zugman, Tecelli Domínguez-Martínez, Manel Monsonet, Lidia Hinojosa, Anna Racioppi, Thomas R. Kwapil, Mathilde Kazes, Claire Daban, Julie Bourgin, Olivier Gay, C. lia Mam-Lam-Fook, Dorte Nordholm, Lasse Randers, Kristine Krakauer, Louise Birkedal Glenthøj, Dominika Gebhard, Julia Arnhold, Joachim Klosterkötter, Iris Lasser, Bernadette Winklbaur, Philippe A. Delespaul
*Corresponding author for this work
  • University of Amsterdam
  • Arkin, Institute for Mental Health, Amsterdam, The Netherlands
  • King's College London
  • Vrije Universiteit Amsterdam
  • University of Basel
  • Universidade Federal de São Paulo
  • Autonomous University of Barcelona
  • Fundació Sanitària Sant Pere Claver, Spanish Mental Health Research Network (CIBERSAM), Spain
  • ORYGEN Youth Health
  • University of Melbourne
  • Université Paris Cité
  • University of Copenhagen
  • Center for Biochemistry, Faculty of Medicine, University of Cologne, Cologne, Germany
  • Medical University of Vienna
  • Maastricht University
  • University Medical Center Utrecht
  • Icahn School of Medicine at Mount Sinai
  • Instituto Nacional de Psiquiatria Ramon de la Fuente
  • University of Illinois at Urbana-Champaign
  • Psyberlin, Berlin, Germany
  • Mondriaan Mental health Trust, CX Heerlen, The Netherlands

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

Background: The high prevalence of obsessive-compulsive symptoms (OCS) among subjects at Ultra-High Risk (UHR) for psychosis is well documented. However, the network structure spanning the relations between OCS and symptoms of the at risk mental state for psychosis as assessed with the Comprehensive Assessment of At Risk Mental States (CAARMS) has not yet been investigated. This article aimed to use a network approach to investigate the associations between OCS and CAARMS symptoms in a large sample of individuals with different levels of risk for psychosis. Method: Three hundred and forty-one UHR and 66 healthy participants were included, who participated in the EU-GEI study. Data analysis consisted of constructing a network of CAARMS symptoms, investigating central items in the network, and identifying the shortest pathways between OCS and positive symptoms. Results: Strong associations between OCS and anxiety, social isolation and blunted affect were identified. Depression was the most central symptom in terms of the number of connections, and anxiety was a key item in bridging OCS to other symptoms. Shortest paths between OCS and positive symptoms revealed that unusual thought content and perceptual abnormalities were connected mainly via anxiety, while disorganized speech was connected via blunted affect and cognitive change. Conclusions: Findings provide valuable insight into the central role of depression and the potential connective component of anxiety between OCS and other symptoms of the network. Interventions specifically aimed to reduce affective symptoms might be crucial for the development and prospective course of symptom co-occurrence.
Original languageEnglish
Pages (from-to)1018-1028
Number of pages11
JournalSchizophrenia bulletin
Volume47
Issue number4
DOIs
Publication statusPublished - 1 Jul 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • anxiety
  • clinical high risk
  • depression
  • network analysis
  • obsessive-compulsive
  • psychosis
  • ultra-high risk

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