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
By Han Xiao, Yan Zhang, De-liang Kong, Shiyue Li, Ningxi Yang. Medical Science Monitor, 2020
1,184 citations recorded by the source corpus.
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/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.
Subfields: Clinical Psychology, Experimental and Cognitive Psychology, General Health Professions
View Paper: https://www.semanticscholar.org/paper/ee361c593c241617b07107dd7bad13def503b9a3
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Clinical Psychology
In Experimental and Cognitive Psychology
In General Health Professions
Citations in the corpus
- Sleep problems during the COVID-19 pandemic by population: a systematic review and meta-analysis (2020, neutral): “49,50 The prevalence of sleep problems observed dropped signi fi cantly when a subgroup analysis was performed using researcher-developed assessment measures, but this was not noted in the global analysis and when comparing the PSQI with the other validated measures.”
- The mental health of healthcare workers in the COVID-19 pandemic: A systematic review (2020, methodology): “Reports indicated that several HCWs became infected with SARS-CoV-2 when they were in close contact with infected patients [6].”
- COVID‐19 anxiety among front‐line nurses: Predictive role of organisational support, personal resilience and social support (2020, background): “Further, positive coping strategies and increased social support were associated with decreased psychological distress, increased selfefficacy, improved sleep quality and decreased levels of anxiety and stress among nurses (Yu et al., 2020; Xiao et al., 2020).”