Social Support Is Associated with Fewer Mental Health Problems Among Japanese Nurses During COVID-19 Pandemic: A Cross-Sectional Study

Author:

Tsubaki Michihiro1ORCID,Ito Yoshiyasu2ORCID,Nagashima Takafumi3ORCID,Tsujimoto Yoko4,Anzai Toru4,Yagome Susumu5ORCID,Koizumi Hideko6

Affiliation:

1. School of Nursing, Kitasato University, 1-15-1 Kitazato, Minami-ku, Sagamihara, Kanagawa 252-0373, Japan

2. College of Nursing Art and Science, University of Hyogo, Akashi, Japan

3. Sagamihara Nursing Vocational School, Sagamihara, Japan

4. Emergency and Critical Care Center, Tokai University Hospital, Isehara, Japan

5. Graduate School of Data Science, Yokohama City University, Yokohama, Japan

6. Department of Youth, Kanagawa Nursing Federation, Yokohama, Japan

Abstract

This study aims to assess the relationship between the effect of the pandemic on the mental health of nurses and its association with their social support needs. Infectious disease pandemics have had a considerable impact on the medical healthcare industry and the global economy, and the construction of a sustainable medical system is essential for overcoming them. This cross-sectional study evaluated 2431 Japanese nurses who completed a survey using three mental health scales for depression, anxiety, and post-traumatic stress. It was found that the odds of depression were lower among nurses who received sufficient infection prevention measures than those who felt that no preventive measures were implemented. Nurses who sought financial support and support against libel and slander were associated with a high risk of depression. These items were associated with a high risk of anxiety disorder and post-traumatic stress disorder. The increased mental health problems among nurses require evidence-based social support, including countermeasures against infection in hospital, financial support for individual nurses, and support against libel and slander to improve their mental health.

Publisher

Fuji Technology Press Ltd.

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