The Effects of Social Support on Sleep Quality of Medical Staff Treating Patients with Coronavirus Disease 2019 (COVID-19) in January and February 2020 in China.

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Tytuł:: The Effects of Social Support on Sleep Quality of Medical Staff Treating Patients with Coronavirus Disease 2019 (COVID-19) in January and February 2020 in China.
Autorzy:: Xiao H; Department of Respiration, Xuanwu Hospital Capital Medical University, Beijing, China (mainland).
Zhang Y; College of Humanities and Social Sciences, Harbin Engineering University, Harbin, Heilongjiang, China (mainland).
Kong D; College of Humanities and Social Sciences, Harbin Engineering University, Harbin, Heilongjiang, China (mainland).
Li S; School of Health Sciences, Wuhan University, Wuhan, Hubei, China (mainland).
Yang N; College of Humanities and Social Sciences, Harbin Engineering University, Harbin, Heilongjiang, China (mainland).
Źródło:: Medical science monitor : international medical journal of experimental and clinical research [Med Sci Monit] 2020 Mar 05; Vol. 26, pp. e923549. Date of Electronic Publication: 2020 Mar 05.
Typ publikacji:: Journal Article; Observational Study
Język:: English
Imprint Name(s):: Publication: 2014- : Smithtown, NY : International Scientific Information, Inc.
Original Publication: Warsaw, Poland : Medical Science International
MeSH Terms:: Betacoronavirus*
Coronavirus Infections*
Medical Staff*
Pneumonia, Viral*
Sleep*
Social Support*
Adult ; Anxiety ; COVID-19 ; China ; Cross-Sectional Studies ; Female ; Humans ; Male ; SARS-CoV-2 ; Self Efficacy ; Stress, Psychological ; Surveys and Questionnaires
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Entry Date(s):: Date Created: 20200306 Date Completed: 20200316 Latest Revision: 20201218
Update Code:: 20240105
PubMed Central ID:: PMC7075079
DOI:: 10.12659/MSM.923549
PMID:: 32132521
: Czasopismo naukowe

BACKGROUND Coronavirus disease 2019 (COVID-19), formerly known as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and 2019 novel coronavirus (2019-nCoV), was first identified in December 2019 in Wuhan City, China. Structural equation modeling (SEM) is a multivariate analysis method to determine the structural relationship between measured variables. This observational study aimed to use SEM to determine the effects of social support on sleep quality and function of medical staff who treated patients with COVID-19 in January and February 2020 in Wuhan, China. MATERIAL AND METHODS A one-month cross-sectional observational study included 180 medical staff who treated patients with COVID-19 infection. Levels of anxiety, self-efficacy, stress, sleep quality, and social support were measured using the and the Self-Rating Anxiety Scale (SAS), the General Self-Efficacy Scale (GSES), the Stanford Acute Stress Reaction (SASR) questionnaire, the Pittsburgh Sleep Quality Index (PSQI), and the Social Support Rate Scale (SSRS), respectively. Pearson's correlation analysis and SEM identified the interactions between these factors. RESULTS Levels of social support for medical staff were significantly associated with self-efficacy and sleep quality and negatively associated with the degree of anxiety and stress. Levels of anxiety were significantly associated with the levels of stress, which negatively impacted self-efficacy and sleep quality. Anxiety, stress, and self-efficacy were mediating variables associated with social support and sleep quality. CONCLUSIONS SEM showed that medical staff in China who were treating patients with COVID-19 infection during January and February 2020 had levels of anxiety, stress, and self-efficacy that were dependent on sleep quality and social support.

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