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.

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