Predictors of anxiety and depression in operating room nurses during the COVID-19 pandemic: A multi-center cross-sectional study

焦虑 萧条(经济学) 横断面研究 医学 大流行 家庭医学 精神科 人口学 2019年冠状病毒病(COVID-19) 疾病 内科学 病理 经济 社会学 宏观经济学 传染病(医学专业)
作者
Filiz Öğce Aktaş,Hale Turhan Damar,Burcu Özkul,Patrick E. Voight,Mona Guckian Fisher,Michael Elin,Suresh K. Sharma,Sarah Bird
出处
期刊:Work-a Journal of Prevention Assessment & Rehabilitation [IOS Press]
卷期号:78 (2): 279-293
标识
DOI:10.3233/wor-230207
摘要

BACKGROUND: Operating room nurses (ORNs) who directly deal with the treatment and care of COVID-19 patients during the pandemic are at risk in terms of psychological stress and other mental health problems. OBJECTIVE: The aim of the study was to compare the anxiety and depression levels of ORNs working in different countries in the COVID-19 outbreak, and to determine the predictors and the difference between countries. METHODS: This was a descriptive and cross-sectional study. Data were collected online using a google form between February 2021-February 2022. The universe of the research is nurses who are members of national Perioperative Nurses Association (USA, Türkiye, Australia, England, India, Israel) and 1127 ORNs participated the study. In multivariate analysis, independent predictors of anxiety and depression status were examined by binary logistic regression analysis. RESULTS: The rate of anxiety is 5.46 times higher in nurses in the USA, 5.07 times higher among nurses in Australia, and 4.49 times higher for nurses in England. It was determined that the rate of depression in ORNs working in Türkiye was 5.97 times higher. It was found that the rate of depression is 1.59 times higher in ORNs living away from the family after care of COVID-19 patient. CONCLUSION: Despite some differences between countries in terms of health system, patient potential, economic and the opportunities offered, generally high levels of anxiety and/or depression indicate that all ORNs need urgent support. Identifying risk factors will help recognize anxiety and depression in ORNs and take measures to protect their mental health during the pandemic.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
量子星尘发布了新的文献求助10
1秒前
Lucas应助XiuFan采纳,获得10
2秒前
xy完成签到,获得积分10
2秒前
酷酷紫易完成签到 ,获得积分10
3秒前
Karouline完成签到,获得积分10
5秒前
8秒前
9秒前
有点甜完成签到,获得积分10
9秒前
科研通AI6应助Sula37采纳,获得150
9秒前
12秒前
勇猛的小qin完成签到 ,获得积分10
12秒前
星辰大海应助arizaki7采纳,获得10
16秒前
思源应助arizaki7采纳,获得10
16秒前
打打应助arizaki7采纳,获得10
16秒前
斯文败类应助arizaki7采纳,获得10
16秒前
科研通AI2S应助arizaki7采纳,获得10
17秒前
酷波er应助arizaki7采纳,获得10
17秒前
18秒前
min完成签到,获得积分10
18秒前
慕青应助大力蚂蚁采纳,获得10
18秒前
酷波er应助稶望采纳,获得10
19秒前
高挑的冷亦关注了科研通微信公众号
19秒前
活泼的之槐完成签到,获得积分10
20秒前
20秒前
飞飞飞完成签到,获得积分10
21秒前
21秒前
22秒前
22秒前
Lucas应助科研通管家采纳,获得10
22秒前
浮游应助科研通管家采纳,获得10
22秒前
Hello应助科研通管家采纳,获得10
22秒前
老福贵儿应助科研通管家采纳,获得10
22秒前
852应助科研通管家采纳,获得10
23秒前
英俊的铭应助科研通管家采纳,获得10
23秒前
CipherSage应助科研通管家采纳,获得10
23秒前
量子星尘发布了新的文献求助10
23秒前
wanci应助科研通管家采纳,获得30
23秒前
23秒前
wanci应助科研通管家采纳,获得10
23秒前
牛马发布了新的文献求助10
24秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
List of 1,091 Public Pension Profiles by Region 1601
以液相層析串聯質譜法分析糖漿產品中活性雙羰基化合物 / 吳瑋元[撰] = Analysis of reactive dicarbonyl species in syrup products by LC-MS/MS / Wei-Yuan Wu 1000
Lloyd's Register of Shipping's Approach to the Control of Incidents of Brittle Fracture in Ship Structures 800
Biology of the Reptilia. Volume 21. Morphology I. The Skull and Appendicular Locomotor Apparatus of Lepidosauria 600
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 500
Pediatric Nutrition 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5553289
求助须知:如何正确求助?哪些是违规求助? 4637819
关于积分的说明 14651261
捐赠科研通 4579708
什么是DOI,文献DOI怎么找? 2511828
邀请新用户注册赠送积分活动 1486770
关于科研通互助平台的介绍 1457694