Influence of sleep duration and quality on depression symptoms among nurses during the Omicron outbreak: a cross-sectional survey

睡眠时长和质量对奥密克戎疫情期间护士抑郁症状的影响:一项横断面调查

阅读:1

Abstract

BACKGROUND: Nurses who work during the global pandemic are known to experience physical and psychological exhaustion, as well as severe anxiety and depression symptoms. This study aimed to explore the relationships between sleep duration, sleep quality, and depression symptoms among nurses during the outbreak of the Omicron variant. METHODS: A cross-sectional study was conducted between August 2022 and September 2022. Participants (N = 2140) were evaluated for depression symptoms via the Hospital Anxiety and Depression Scale (HADS), and sleep was evaluated via the Pittsburgh Sleep Quality Index (PSQI), and "short sleep duration" was defined as ≤ 5 h per day. Demographic information was also collected. Binary and multivariate logistic regression was performed to assess the relationships between sleep duration, sleep quality, and depression symptoms. RESULTS: In total, 2140 nurses were included in this study; 1481 (69.2%) had poor sleep quality, while 866 (40.4%) had depression symptom scores > 7 according to the HADS criteria. Both duration and quality of sleep were significantly correlated with depression symptoms among nurses (P < 0.001). In multivariable analyses adjusted for potential confounders, short sleep duration (≤ 5 h) was associated with an odds ratio (OR) of 2.26 (95% confidence interval [CI] 1.25-4.07), whereas poorer sleep quality was associated with an OR of 1.97 (95% CI 1.32-2.94) for experiencing depression symptoms. CONCLUSIONS: Following the COVID-19 pandemic, there was a strong association between the sleep quality, sleep duration and depression symptoms among nurses. We recommend the development of targeted interventions to increase sleep duration, enhance sleep quality and alleviate depression symptoms.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。