Anxiety, Depression and Their Contributing Factors Among Nurses Infected with COVID-19 in Iran: A Cross-Sectional Study

Author:

Abstract

Background: The 2019 coronavirus disease (COVID-19) epidemic is a great challenge in healthcare workers, especially nurses, due to their more frequent and closer contact with patients. Objective: The aim of this study was evaluation of anxiety and depression and their causes in nurses with COVID-19 infection in different wards of hospital. Methods: This cross sectional study was carried out between February 1st to October 30th, 2020 among nurses with COVID-19 infection in different wards of Imam Khomeini Hospital (university hospital), Tehran, Iran. They were contacted by phone and data were collected using a self-administered, valid, structured questionnaire consisted of sociodemographic characteristics and clinical symptoms. Psychological complications included anxiety and depression levels were also assessed and association with other sociodemographic variables was evaluated. Results: A total of 158 nurses entered the sturdy, out of which 112 (70.2%) were females. Among all participants, 72.8% and 42.4% confess anxiety and depression, respectively. Frequency of women with moderate to severe anxiety was significantly greater than that of men (p<0.001). The infected nurses who worked in low-risk departments experienced a greater proportion of moderate to severe depression (p = 0.004). In addition, the most prevalent reason for anxiety and depression was fear of infecting family members. Conclusions: The nurses bored a significant burden of psychological burden during COVID-19 pandemic, markedly when they also get infected and experience clinical symptoms. Therefore, the government and other staff should provide some facilities and supportive administrative work for reducing anxiety and depression and improving their psychological health.

Publisher

DoNotEdit

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3