The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
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
Open accessAbstract
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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Cites
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Cited by
Holmes, E. A., O'Connor, R. C., Perry, V. H., Tracey, I., Wessely, S., Arseneault, L., Ballard, C., Christensen, H., Cohen Silver, R., Everall, I., et al. (2020) · The Lancet Psychiatry · doi:10.1016/s2215-0366(20)30168-1 · Cited by 5,715
Pappa, S., Ntella, V., Giannakas, T., Giannakoulis, V. G., Papoutsi, E., & Katsaounou, P. (2020) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2020.05.026 · Cited by 3,617
COVID-19 and mental health: A review of the existing literature
Rajkumar, R. P. (2020) · Asian Journal of Psychiatry · doi:10.1016/j.ajp.2020.102066 · Cited by 3,574
COVID-19 pandemic and mental health consequences: Systematic review of the current evidence
Vindegaard, N., & Benros, M. E. (2020) · Brain, Behavior, and Immunity · doi:10.1016/j.bbi.2020.05.048 · Cited by 3,221
Prevalence of depression symptoms in US adults before and during the COVID-19 pandemic
Ettman, C. K., Abdalla, S. M., Cohen, G. H., Sampson, L., Vivier, P. M., & Galea, S. (2020) · JAMA Network Open · doi:10.1001/jamanetworkopen.2020.19686 · Cited by 2,138
Metadata
- Authors
- Xiao, H., Zhang, Y., Kong, D., Li, S., & Yang, N.
- Venue
- Medical Science Monitor
- Published
- 2020-03-05
- Volume
- 26
- Pages
- e923549-e923549
- ISSN
- 1234-1010 (ISSN-L)
- 1643-3750
- OpenAlex
- W3010350103
- Cited by
- 1,385
- References
- 11
- FWCI
- 113.74
- Type
- journal article
- Language
- en
- Open access
- hybrid
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