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

  • Rachel E. Williamson
  • , Chris M. Hoeboer
  • , Indira Primasari
  • , Yulan Qing
  • , Bruno M. Coimbra
  • , Ani Hovnanyan
  • , Emma Grace
  • , Miranda Olff

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

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
StatePublished - Dec 2021

Funding

This study was financed in part by the Indonesian Endowment Fund for Education (Lembaga Pengelola Dana Pendidikan/LPDP) Ref: S-395/LPDP.3/2019 , the Chinese Scholarship Council (NO. 201504910771 ), the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES) - Finance Code 001 and the Cassa di Risparmio di Padova e Rovigo Foundation Research Fellowship - Italy (CARIPARO). This study was financed in part by the Indonesian Endowment Fund for Education (Lembaga Pengelola Dana Pendidikan/LPDP) Ref: S-395/LPDP.3/2019, the Chinese Scholarship Council (NO. 201504910771), the Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior - Brasil (CAPES) - Finance Code 001 and the Cassa di Risparmio di Padova e Rovigo Foundation Research Fellowship - Italy (CARIPARO).

FundersFunder number
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
201504910771

    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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