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Symptom networks of COVID-19-related versus other potentially traumatic events in a global sample

  • University of Montana
  • Amsterdam UMC - University of Amsterdam
  • University of Indonesia
  • Universidade Federal de São Paulo
  • University of Padua
  • The Chicago School of Professional Psychology
  • Psychotrauma Research, Diemen, Netherlands

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

The potential mental health consequences of the coronavirus disease 2019 (COVID-19) pandemic are widely acknowledged; however, limited research exists regarding the nature and patterns of stress responses to COVID-19-related potentially traumatic events (PTEs) and the convergence/divergence with responses to other (non-COVID-19-related) PTEs. Network analysis can provide a useful method for evaluating and comparing these symptom structures. The present study includes 7034 participants from 86 countries who reported on mental health symptoms associated with either a COVID-19-related PTE (n = 1838) or other PTE (n = 5196). Using network analysis, we compared the centrality and connections of symptoms within and between each group. Overall, results show that the COVID-19-related network includes transdiagnostic symptom associations similar to networks tied to PTEs unrelated to the pandemic. Findings provide evidence for a shared centrality of depression across networks and theoretically consistent connections between symptoms. Network differences included stronger connections between avoidance-derealization and hypervigilance-depression in the COVID-19 network. Present findings support the conceptualization of psychological responses to pandemic-related PTEs as a network of highly interconnected symptoms and support the use of a transdiagnostic approach to the assessment and treatment of mental health challenges related to the COVID-19 pandemic.
Original languageEnglish
Article number102476
JournalJournal of anxiety disorders
Volume84
DOIs
Publication statusPublished - 1 Dec 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

  • COVID-19
  • Global mental health
  • Network analysis
  • Stress responses

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