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Predictive Analysis of Factors Influencing Depression Status of Nurses in the COVID-19 Pandemic Intensive Care Unit.
Li, Jing; Zhang, Yanhua; Li, Li; Yi, Wei; Hao, Yiwei; Bi, Yongjuan.
  • Li J; Department of Obstetrics, Beijing Ditan Hospital Capital Medical University, Beijing, China.
  • Zhang Y; Department of Intensive Care Unit, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
  • Li L; Department of Obstetrics, Beijing Ditan Hospital Capital Medical University, Beijing, China.
  • Yi W; Department of Obstetrics, Beijing Ditan Hospital Capital Medical University, Beijing, China.
  • Hao Y; Department of Medical Records Room, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
  • Bi Y; Department of Obstetrics, Beijing Ditan Hospital Capital Medical University, Beijing, China.
Front Psychiatry ; 12: 596428, 2021.
Article in English | MEDLINE | ID: covidwho-1555689
ABSTRACT

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 (ß = 9.930, P < 0.001) had a positive predictive effect on the total score of depression, while stress perception (ß = -0.884, P < 0.001) and education (ß = -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.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Prognostic study Language: English Journal: Front Psychiatry Year: 2021 Document Type: Article Affiliation country: Fpsyt.2021.596428

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Prognostic study Language: English Journal: Front Psychiatry Year: 2021 Document Type: Article Affiliation country: Fpsyt.2021.596428