The correlated factors of anxiety and depression among Chinese hospital staff during the COVID-19 local outbreak.

Publication date: Oct 25, 2024

Hospital staff in the COVID-19 local outbreak were facing different situations, their mental status and influencing factors were also different. The aim of this study is to investigate the anxiety and depression of hospital staff and its potential influence factors during the COVID-19 local outbreak. This was a cross-sectional survey based on a hospital with a local outbreak of COVID-19. We collected the demographic characteristics, COVID-19-related issues, self-rating anxiety scale (SAS), and self-rating depression scale (SDS) of participants through an anonymous questionnaire. Factors associated with anxiety and depression were explored through univariate and multivariate analyses. We also constructed nomograms and calibration curves to predict the probability of anxiety and depression. A total of 800 people completed the questionnaire. 239 (29. 9%) of them were doctors, 249 (31. 1%) of them were nurses and 312 (39. 0%) of them were others. There were 173 (21. 6%) cases had anxiety, including 36 (20. 8%) doctors, 76 (43. 9%) nurses and 61 (35. 3%) from other occupations and 281 (35. 1%) cases had depression, including 64 (22. 8%) doctors, 101 (35. 9%) nurses, and 116 (41. 3%) from other occupations. Nurses had higher SAS and SDS score than doctors and others (Fā€…=ā€…17. 856, Pā€…

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Concepts Keywords
Anxiety Adult
Chinese Anxiety
Nurses China
Therapy COVID-19
Cross-Sectional Studies
Depression
Disease Outbreaks
Female
Humans
Male
Middle Aged
Personnel, Hospital
Risk Factors
SARS-CoV-2
Surveys and Questionnaires

Semantics

Type Source Name
disease MESH anxiety
disease MESH depression
drug DRUGBANK Etoperidone
disease MESH COVID-19
drug DRUGBANK Sodium lauryl sulfate
disease MESH education level
disease MESH death
drug DRUGBANK Coenzyme M
pathway REACTOME Reproduction
drug DRUGBANK L-Valine
disease MESH marital status
disease MESH infection
disease MESH anxiety disorder

Original Article

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