Clinical characteristics and online mental health care of asymptomatic or mildly symptomatic patients with coronavirus disease 2019

Su Jin Jeong, Won Suk Chung, Yujin Sohn, Jong Hoon Hyun, Yae Jee Baek, Yunsuk Cho, Jung Ho Kim, Jin Young Ahn, Jun Yong Choi, Joon Sup Yeom

Research output: Contribution to journalReview articlepeer-review

Abstract

Comparing to data in patients with severe coronavirus diseases 2019 (COVID-19), there are few studies on the prevalence anxiety and/or depression in patients with asymptomatic or mildly symptomatic COVID-19. We investigated the clinical characteristics and the prevalence of anxiety and/or depression among asymptomatic or mildly symptomatic patients with COVID-19 and monitored their mental health using an online assessment. An online survey for monitoring and assessing the mental health of patients with COVID-19 using a mobile phone was conducted. We used the Hospital Anxiety and Depression Scale to measure anxiety and/or depression levels. Of the 234 patients, 66 patients were asymptomatic (28.2%), while the remaining 168 patients were mildly symptomatic. The prevalence of anosmia (p = 0.001) and ageusia (p = 0.008) significantly decreased with the increasing age. In addition, 19.8% and 14.0% patients had anxiety and/or depression in the first survey, and one week after the first survey, respectively. Compared to patients without anxiety and/ or depression, those with anxiety and/or depression had a longer quarantine duration. We found that anomia and ageusia were relatively common in the young age group. Furthermore, one-fifth asymptomatic or mildly symptomatic patients with COVID-19 had anxiety and/or depression.

Original languageEnglish
Article numbere0242130
JournalPloS one
Volume15
Issue number11 November
DOIs
Publication statusPublished - 2020 Nov

Bibliographical note

Publisher Copyright:
© 2020 Jeong et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

All Science Journal Classification (ASJC) codes

  • General

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