https://www.socictopen.socict.org/files/original/9d4f4f852c02a30b9247a7b40411aab3.pdf db268a34e1a8b1c4b2a338709120bbfa Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Prevalence and Demographic Correlates of Poor Sleep Quality Among Frontline Health Professionals in Liaoning Province, China During the COVID-19 Outbreak Creator An entity primarily responsible for making the resource Yuan Yang, Zhibo Zhang, Teris Cheung, Yutao Xiang, Xixi Li, Yanqing Tang, Yuning Zhou, Yanan Guo, Guo-jun Xu, Yongning Liu, Yifang Zhou, Yanzhuo Song, Tie-ying Shi Description An account of the resource BackgroundLittle empirical evidence is known about the sleep quality of frontline health professionals working in isolation units or hospitals during the novel coronavirus disease (COVID-19) outbreak in China. This study thus aimed to examine the prevalence of poor sleep quality and its demographic and correlates among frontline health professionals.MethodsThis is a multicenter, cross-sectional survey conducted in Liaoning province, China. Sleep quality was measured by the Pittsburgh Sleep Quality Index (PSQI).ResultsA total of 1,931 frontline health professionals were recruited. The prevalence of poor sleep quality was 18.4% (95%CI: 16.6%–20.11%). Multivariate logistic regression analysis found that older age (OR=1.043, 95%CI=1.026–1.061, P < 0.001), being nurse (OR=3.132, 95%CI=1.727–5.681, P < 0.001), and working in outer emergency medical team (OR=1.755, 95%CI=1.029–3.064, P=0.039) were positively associated with poor sleep quality. Participants who were familiar with crisis response knowledge were negatively associated with poor sleep quality (OR=0.70, 95%CI=0.516–0.949, P=0.021).ConclusionThe prevalence of poor sleep quality was relatively low among frontline health professionals during the COVID-19 epidemic. Considering the negative impact of poor sleep quality on health professionals’ health outcomes and patient outcomes, regularly screening and timely treatments are warranted to reduce the likelihood of poor sleep quality in health professionals. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource China, health professionals, sleep quality, Pittsburgh sleep quality index, COVID-19 Identifier An unambiguous reference to the resource within a given context DOI: 10.3389/fpsyt.2020.00520 Source A related resource from which the described resource is derived Frontiers in Psychiatry Publisher An entity responsible for making the resource available Frontiers Media S.A. Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Psychiatry