Cited by 12COVID-19 and Mental HealthPersonality Disorders and PsychopathologyPersonality Traits and Psychology

DSM-5 pathological personality domains as vulnerability factors in predicting COVID-19-related anxiety symptoms

Zemestani, Mehdi, Babamiri, Mohammad, Griffiths, Mark D., Didehban, Reza·2021·Journal of Addictive Diseases

Abstract

Since the beginning of the coronavirus disease-2019 (COVID-19) outbreak, individuals worldwide have shown different anxiety-related reactions. Several vulnerability factors may play a role in individuals' psychological reactions to the COVID-19 pandemic. Such factors include pathological personality traits which have been shown to contribute to the development of anxiety-related conditions. Consequently, the present study investigated the relationships between DSM-5 pathological personality domains and COVID-19-related anxiety symptoms. Using an online data portal, the relationships between DSM-5 pathological personality domains and COVID-19-related anxiety symptoms among a mixed university student and community sample (N = 612) were studied. The results showed that there was a positive and significant relationship between all DSM-5 pathological personality domains and COVID-19-related anxiety. The results of multiple linear regression analysis showed that DSM-5 pathological personality domains explained 21% of COVID-19-related anxiety variance. Based on standardized coefficients, the Personality Inventory for DSM-5 (PID-5) negative affect domain had the main role in COVID-19-related anxiety. The findings suggest that pathological personality domains can be predictors in the symptoms of anxiety in a viral outbreak. The novel findings add to the literature on individual differences in domains of personality in response to pandemic situations. Implications for future clinical applications and research investigations are discussed.

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  1. Ahorsu, D. K., Lin, C.-Y., Imani, V., Saffari, M., Griffiths, M. D., & Pakpour, A. H. (2020). The Fear of COVID-19 Scale: Development and initial validation. International Journal of Mental Health and Addiction . Advance online publication. doi:https://dx.doi.org/10.1007/s11469-02000270-8 · DOI
  2. Alipour, A., Ghadami, A., Alipor, Z., & Abdollahzadeh, H. (2020). Preliminary validation of the Corona Disease Anxiety Scale (CDAS) in the Iranian sample. Quarterly Journal of Health Psycholog, 8 (4), 163-175.
  3. Xiao, H., Zhang, Y., Kong, D., Li, S., & Yang, N. (2020). The effects of social support on sleep quality of medical staff treating patients with coronavirus disease 2019 (COVID-19) in January and February 2020 in China. Medical Science Monitor: International Medical Journal of Experimental and Clinical Research, 26 , e923549-923541.

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Authors
Zemestani, M., Babamiri, M., Griffiths, M. D., & Didehban, R.
Affiliations
  • University of Kurdistan (IR)
  • Hamedan University of Medical Sciences (IR)
  • Nottingham Trent University (GB)
Corresponding author
Zemestani, Mehdi
Venue
Journal of Addictive Diseases
Published
2021-03-10
Volume
39
Issue
4
Pages
450-458
ISSN
  • 1055-0887 (ISSN-L)
  • 1545-0848
OpenAlex
W3134950144
Cited by
12
References
38
Citations by year
2025: 1 · 2024: 4 · 2023: 1 · 2022: 5 · 2021: 1
FWCI
1.87
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Addictive Diseases (publishedVersion)
  • PubMed (publishedVersion)
  • Nottingham Trent University's Institutional Repository (Nottingham Trent Repository) (acceptedVersion)
Topics
  • Social Sciences › Psychology › Clinical Psychology › COVID-19 and Mental Health
  • Social Sciences › Psychology › Clinical Psychology › Personality Disorders and Psychopathology
  • Social Sciences › Psychology › Clinical Psychology › Personality Traits and Psychology
Keywords
COVID-19 pandemic, anxiety symptoms, pathological personality traits, negative affect, PID-5, vulnerability factors, university students, community sample
MeSH terms
COVID-19, Anxiety, Humans, Models, Psychological, Personality, Personality Disorders, International Classification of Diseases, Diagnostic and Statistical Manual of Mental Disorders

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