Shuhong Ni

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. 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. 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. 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.

Background The COVID-19 pandemic has led to increased depressive symptoms and diminished sleep quality among nurses. This study explores the relationships among social support, sleep quality, and depressive symptoms among Chinese nurses during the COVID-19 outbreak, with a focus on the mediating role of sleep quality. Methods A cross-sectional study involving 2140 nurses was conducted from August to September 2022. The participants completed the Social Support Rating Scale, the Hospital Anxiety and Depression Scale, and the Pittsburgh Sleep Quality Index. The data were analyzed via serial multiple mediation analysis with the PROCESS macro in SPSS. Results Depressive symptoms affected an estimated 40.4% of the participants, with 69.2% reporting poor sleep quality. The present study revealed a significant negative correlation between social support and sleep quality and depressive symptoms (r = -0.229, p < 0.001; r = -0.322, p < 0.001, respectively). Furthermore, a substantial positive correlation was observed between sleep quality and depressive symptoms (r = 0.514, p < 0.001). Additionally, social support had a significant indirect effect on depressive symptoms through sleep quality (standardized effect = -0.0535, 95% CI = [-0.0648, -0.0424]). Sleep quality was found to mediate the relationship between social support and depressive symptoms in all subgroups, with variations based on years of experience, education levels, and hospital type. Conclusion Depressive symptoms were inversely associated with social support, which was moderated by sleep quality. Interventions targeting social support provision and sleep quality promotion are suggested for managing depressive symptoms among nurses during the COVID-19 pandemic.

During the COVID-19 epidemic in China, clinical nurses are at an elevated risk of suffering fatigue. This research sought to investigate the correlation between dispositional mindfulness and fatigue among nurses, as well as the potential mediation role of sleep quality in this relationship. This online cross-sectional survey was performed from August to September 2022 to collect data from 2143 Chinese nurses after the re-emergence of COVID-19. The significance of the mediation effect was determined through a bootstrap approach with SPSS PROCESS macro. Higher levels of dispositional mindfulness were significantly negatively related to fatigue (r = -0.518, P < 0.001) and sleep disturbance (r = -0.344, P < 0.001). Besides, insufficient sleep was associated with fatigue (r = 0.547, P < 0.001). Analyses of mediation revealed that sleep quality mediated the correlation of dispositional mindfulness to fatigue (β = -0.137, 95% Confidence Interval = [-0.156, -0.120]). In the post-COVID-19 pandemic era, Chinese nurses’ dispositional awareness was related to the reduction of fatigue, which was mediated by sleep quality. Intervention strategies and measures should be adapted to improve dispositional mindfulness and sleep quality to reduce fatigue in nurses during the pandemic.

Purpose: Night shift is associated with adverse physical and psychological health outcomes such as poor sleep quality and depressive symptoms. We aimed to compare sleep quality as well as depressive symptoms in nurses working night shifts to those working day shifts only and explore the association between sleep quality and depressive symptoms among nurses. Patients and methods: Eight hundred sixty-five nurses were enrolled in the current study. Sleep quality and depressive symptoms among nurses were evaluated by the Pittsburgh Sleep Quality Index (PSQI) and Hospital Anxiety and Depressive Disorders Rating Scale (HADS), respectively. Results: PSQI and HADS scores were both significantly higher in the nurses working night shifts (PConclusion: Higher rates of depression among Chinese nurses working night shifts may be associated with poor sleep quality induced by night shift.