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Prevalence of and risk factors associated with sleep disturbances among HPCD exposed to COVID-19 in China
OBJECTIVE: To assess sleep disturbances and associated factors among front-line healthcare providers who have been called upon for, dispatched (HPCD) and exposed to COVID-19 in China. METHODS: This cross-sectional, survey-based, isolation area-stratified study collected demographic data, sleep statu...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7834103/ https://www.ncbi.nlm.nih.gov/pubmed/33540240 http://dx.doi.org/10.1016/j.sleep.2020.12.034 |
Sumario: | OBJECTIVE: To assess sleep disturbances and associated factors among front-line healthcare providers who have been called upon for, dispatched (HPCD) and exposed to COVID-19 in China. METHODS: This cross-sectional, survey-based, isolation area-stratified study collected demographic data, sleep status and emotional measurements from 1036 HPCD in nine medical institutions from March 5 to 9, 2020 in Wuhan, China, which was the epicenter of the epidemic. HPCD who worked in isolation areas with COVID-19 were eligible for inclusion. The severity of symptoms of sleep disorders, insomnia and emotional self-efficacy were assessed by the Chinese versions of the 10-item Self-rating sleeping situation scale, the seven-item Insomnia Severity Index and the 12-item Regulatory emotional self-efficacy questionnaire, respectively. Univariate analysis was performed to identify factors associated with sleep disturbances. A structural equation model (SEM) was constructed via AMOS to explore the relationship among the four components. RESULTS: A total of 1036 out of 1075 contacted individuals completed the survey, with a participation rate of 96.4%. A total of 925 (89.3%) were aged 20–39 years, and 755 (72.9%) were women. Among all participants, 874 (84.4%) were nurses, and 162 (15.6%) were physicians; 538 (51.9%) worked in intensive care isolation units; 843 (81.4%) worked in isolation areas for 4 h straight, and 395 (38.1%) perceived COVID-19 peer exposure. A considerable proportion of participants reported symptoms of sleep disorders (543, 52.4%). Exposure status and length of work were the main factors affecting sleep status, which had indirect effects on sleep status by mediating regulatory emotional self-efficacy. CONCLUSIONS: In this survey of HPCD for patients with COVID-19 in China, participants reported experiencing sleep disturbance burdens, especially those having exposure experience and working long shifts. Regulatory emotional self-efficacy (RESE) is an important resource for alleviating sleep disturbances and improving sleep quality. These findings emphasize the importance of being prepared to support HPCD through psychological interventions. |
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