Evidence map›Paper›PMID 35344625›Full record

ArticleDepression and anxiety2022

Dysfunctional coronavirus anxiety in nonpsychotic psychiatric outpatients during the COVID-19 pandemic: A network analysis.

Shin Tae Kim, Jun Ho Seo, Sangmin Lee, Sumoa Jeon, Chun Il Park, Se Joo Kim, Jee In Kang

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Article in Depression and anxiety, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

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9citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
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  3. COVID-19 Worries and Insomnia: A Follow-Up Study.International journal of environmental research and public health · 2023
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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Shin Tae KimDepartment of Psychiatry, Yonsei University College of Medicine, Seoul, Republic of Korea.ORCID 0000-0003-3667-6814
Jun Ho SeoInstitute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.ORCID 0000-0001-9864-9446
Sangmin LeeInstitute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.
Sumoa JeonInstitute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.
Chun Il ParkInstitute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.ORCID 0000-0003-0119-0443
Se Joo KimDepartment of Psychiatry, Yonsei University College of Medicine, Seoul, Republic of Korea.ORCID 0000-0002-5438-8210
Jee In KangDepartment of Psychiatry, Yonsei University College of Medicine, Seoul, Republic of Korea.ORCID 0000-0002-2818-7183

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe 2019 coronavirus disease (COVID-19) pandemic has had a profound impact on the mental health of people worldwide. This study examined dysfunctional coronavirus anxiety in nonpsychotic psychiatric outpatients during the pandemic using the coronavirus anxiety scale (CAS) and examined the relationship between coronavirus anxiety and clinical symptoms using network analysis.

methodsIn this cross-sectional study, 192 patients who first visited the psychiatric outpatient clinic of Severance Hospital during the COVID-19 pandemic with chief complaints of depressed mood, anxiety, somatic symptoms, or insomnia were included. We compared the clinical characteristics of patients with and without dysfunctional coronavirus anxiety. Network analysis was conducted to estimate the network of coronavirus anxiety and depressive, anxious, and hypochondriacal psychopathology.

resultsThe results showed that 7.8% of patients exhibited dysfunctional coronavirus anxiety (CAS ≥ 5). Patients with dysfunctional coronavirus anxiety showed higher levels of health worry, somatic preoccupation, and subjective anxiety compared to patients without dysfunctional coronavirus anxiety. In the network analysis, the health worry node (Item 6 of the WI) showed the greatest number of connections with coronavirus anxiety nodes.

conclusionsThese findings suggest that health worry may be an important bridge symptom that connects coronavirus anxiety and other clinical psychopathology. Patients with elevated health worries should be carefully monitored during the COVID-19 pandemic for exacerbation of previous symptoms and COVID-19-related psychopathology. Understanding the psychological factors in the face of the pandemic and their relationships with clinical psychiatric symptoms would help people prevent and overcome mental health problems during the pandemic.

Indexed as

COVID-19PandemicsAnxietyCross-Sectional StudiesDepressionHumansOutpatientsSARS-CoV-2anxietyanxiety disorderscoronavirusCOVID-19depressive disorderssomatoform disorders

Identifiers

PMID35344625
PMCPMC9087144

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.