Predictive Analysis of Factors Influencing Depression Status of Nurses in the COVID-19 Pandemic Intensive Care Unit

Purpose: Understand the effects of the COVID-19 pandemic on depression in intensive care unit (ICU) nurses, analyze high-risk factors, and propose appropriate measures to maintain physical and mental health.Methods: A total of 78 nurses in ICU of Beijing Ditan Hospital affiliated with Capital Medica...

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Autores principales: Jing Li, Yanhua Zhang, Li Li, Wei Yi, Yiwei Hao, Yongjuan Bi
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Lenguaje:EN
Publicado: Frontiers Media S.A. 2021
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Acceso en línea:https://doaj.org/article/0db62fac288d48489977cf7a876796d8
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spelling oai:doaj.org-article:0db62fac288d48489977cf7a876796d82021-11-16T05:38:13ZPredictive Analysis of Factors Influencing Depression Status of Nurses in the COVID-19 Pandemic Intensive Care Unit1664-064010.3389/fpsyt.2021.596428https://doaj.org/article/0db62fac288d48489977cf7a876796d82021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fpsyt.2021.596428/fullhttps://doaj.org/toc/1664-0640Purpose: Understand the effects of the COVID-19 pandemic on depression in intensive care unit (ICU) nurses, analyze high-risk factors, and propose appropriate measures to maintain physical and mental health.Methods: A total of 78 nurses in ICU of Beijing Ditan Hospital affiliated with Capital Medical University (Beijing area, COVID-19 patient designated hospital) were investigated with self-rating depression scale (SDS). The Cronbach'sαcoefficient was 0.874, the content validity was 0.853, and the internal consistency was good. General information for the questionnaire: gender, marriage, education, age, title, length of service, ICU years of service, COVID-19 pandemic training, concerns about the COVID-19 pandemic, and current health status.Results: According to the SDS scale score, ICU nurses had a total depression score of 51.36 ± 11.667, and the prevalence rate of depression was 44.9% (35/78). Multi-line regression analysis shows that stress perception, work experience in critical diseases, education and other total scores are risk factors for the occurrence of depression.Conclusion: Work experience in critical illness (β = 9.930, P < 0.001) had a positive predictive effect on the total score of depression, while stress perception (β = −0.884, P < 0.001) and education (β = −6.061, P < 0.001) had a negative predictive effect on the total score of depression, and explained 52.7% variation. These findings point to the need for interventions to address psychological distress and provide the necessary support.Jing LiYanhua ZhangLi LiWei YiYiwei HaoYongjuan BiFrontiers Media S.A.articleNCPICU nursesdepressioninfluencing factorspsychological interventionsPsychiatryRC435-571ENFrontiers in Psychiatry, Vol 12 (2021)
institution DOAJ
collection DOAJ
language EN
topic NCP
ICU nurses
depression
influencing factors
psychological interventions
Psychiatry
RC435-571
spellingShingle NCP
ICU nurses
depression
influencing factors
psychological interventions
Psychiatry
RC435-571
Jing Li
Yanhua Zhang
Li Li
Wei Yi
Yiwei Hao
Yongjuan Bi
Predictive Analysis of Factors Influencing Depression Status of Nurses in the COVID-19 Pandemic Intensive Care Unit
description Purpose: Understand the effects of the COVID-19 pandemic on depression in intensive care unit (ICU) nurses, analyze high-risk factors, and propose appropriate measures to maintain physical and mental health.Methods: A total of 78 nurses in ICU of Beijing Ditan Hospital affiliated with Capital Medical University (Beijing area, COVID-19 patient designated hospital) were investigated with self-rating depression scale (SDS). The Cronbach'sαcoefficient was 0.874, the content validity was 0.853, and the internal consistency was good. General information for the questionnaire: gender, marriage, education, age, title, length of service, ICU years of service, COVID-19 pandemic training, concerns about the COVID-19 pandemic, and current health status.Results: According to the SDS scale score, ICU nurses had a total depression score of 51.36 ± 11.667, and the prevalence rate of depression was 44.9% (35/78). Multi-line regression analysis shows that stress perception, work experience in critical diseases, education and other total scores are risk factors for the occurrence of depression.Conclusion: Work experience in critical illness (β = 9.930, P < 0.001) had a positive predictive effect on the total score of depression, while stress perception (β = −0.884, P < 0.001) and education (β = −6.061, P < 0.001) had a negative predictive effect on the total score of depression, and explained 52.7% variation. These findings point to the need for interventions to address psychological distress and provide the necessary support.
format article
author Jing Li
Yanhua Zhang
Li Li
Wei Yi
Yiwei Hao
Yongjuan Bi
author_facet Jing Li
Yanhua Zhang
Li Li
Wei Yi
Yiwei Hao
Yongjuan Bi
author_sort Jing Li
title Predictive Analysis of Factors Influencing Depression Status of Nurses in the COVID-19 Pandemic Intensive Care Unit
title_short Predictive Analysis of Factors Influencing Depression Status of Nurses in the COVID-19 Pandemic Intensive Care Unit
title_full Predictive Analysis of Factors Influencing Depression Status of Nurses in the COVID-19 Pandemic Intensive Care Unit
title_fullStr Predictive Analysis of Factors Influencing Depression Status of Nurses in the COVID-19 Pandemic Intensive Care Unit
title_full_unstemmed Predictive Analysis of Factors Influencing Depression Status of Nurses in the COVID-19 Pandemic Intensive Care Unit
title_sort predictive analysis of factors influencing depression status of nurses in the covid-19 pandemic intensive care unit
publisher Frontiers Media S.A.
publishDate 2021
url https://doaj.org/article/0db62fac288d48489977cf7a876796d8
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