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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Frontiers Media S.A.
2021
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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) |
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NCP ICU nurses depression influencing factors psychological interventions Psychiatry RC435-571 |
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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 |
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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 |
work_keys_str_mv |
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