Anxiety, depression, and insomnia among nurses during the full liberalization of COVID-19: a multicenter cross-sectional analysis of the high-income region in China

Xiao, Julan; Liu, Huan; Peng, Yulin; Wen, Yumei; Lv, Xiaoyi; Liang, Lijun; Yi, Fan; Chen, Jie; Chen, Yanru; Hu, Hong-Ying; Peng, Weisi; Wang, Haiyan; Luo, Weixiang

doi:10.3389/fpubh.2023.1179755

Cited by 12 publications

(12 citation statements)

References 43 publications

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“…Little evidence on how COVID-19 optimization policies influence depression symptoms among those infected in China. We found that the prevalence of depression symptoms was 35.3% which was similar to the study conducted in Pokhara ( 38 ) and China ( 25 ). The potential for temporary unemployment, reduced salary, and strained medical resources during the early stages of implementing the COVID-19 optimization policy may exacerbate psychological distress among the public.…”

Section: Discussionsupporting

confidence: 88%

“…These measures notably reduced mobility restrictions on the population and adjusted the isolation methods for infected individuals, particularly those with asymptomatic or mild cases. Studies have shown that 80% to 90% of the public in China was infected with SARS-CoV-2 between December 2022 to January 2023 ( 24 , 25 ). Certain factors may contribute to an increased risk of depression symptoms among individuals infected with SARS-CoV-2 after optimizing the COVID-19 response in China.…”

Section: Introductionmentioning

confidence: 99%

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Prevalence of depressive symptoms and correlates among individuals who self-reported SARS-CoV-2 infection after optimizing the COVID-19 response in China

Wei,

Qin,

Lin

et al. 2024

Front. Public Health

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BackgroundThe burden of depression symptoms has increased among individuals infected with SARS-CoV-2 during COVID-19 pandemic. However, the prevalence and associated factors of depressive symptoms among individuals infected with SARS-CoV-2 remain uncertain after optimizing the COVID-19 response in China.MethodsAn online cross-sectional survey was conducted among the public from January 6 to 30, 2023, using a convenience sampling method. Sociodemographic and COVID-19 pandemic-related factors were collected. The depression symptoms were assessed using the Patient Health Questionnaire-9 (PHQ-9). Logistic regression analysis was performed to explore the associated factors with depressive symptoms.ResultsA total of 2,726 participants completed the survey. The prevalence of depression symptoms was 35.3%. About 58% of the participants reported experiencing insufficient drug supply. More than 40% of participants reported that they had missed healthcare appointments or delayed treatment. One-third of participants responded experiencing a shortage of healthcare staff and a long waiting time during medical treatment. Logistic regression analysis revealed several factors that were associated with depression symptoms, including sleep difficulties (OR, 2.84; 95% CI, 2.34–3.44), chronic diseases (OR, 2.15; 95% CI, 1.64–2.82), inpatient treatment for COVID-19 (OR, 3.24; 95% CI, 2.19–4.77), with COVID-19 symptoms more than 13 days (OR, 1.30, 95% CI 1.04–1.63), re-infection with SARS-CoV-2 (OR, 1.52; 95% CI, 1.07–2.15), and the increased in demand for healthcare services (OR, 1.32; 95% CI, 1.08–1.61).ConclusionThis study reveals a moderate prevalence of depression symptoms among individuals infected with SARS-CoV-2. The findings underscore the importance of continued focus on depressive symptoms among vulnerable individuals, including those with sleeping difficulties, chronic diseases, and inpatient treatment for COVID-19. It is necessary to provide mental health services and psychological interventions for these vulnerable groups during the COVID-19 epidemic.

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Section: Discussionsupporting

confidence: 88%

Section: Introductionmentioning

confidence: 99%

Prevalence of depressive symptoms and correlates among individuals who self-reported SARS-CoV-2 infection after optimizing the COVID-19 response in China

Wei,

Qin,

Lin

et al. 2024

Front. Public Health

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“…Studies indicate that contemporary nurses are more susceptible to mental health issues, such as anxiety, depression, job burnout, sleep disturbances, and poor psychological resilience [1][2][3]. Among them, anxiety and depression are the most common psychological problems [4,5]. Moreover, The COVID-19 pandemic has resulted in a rapid increase in nursing workload that further exacerbates these psychological challenges [6].…”

Section: Introductionmentioning

confidence: 99%

Sleep quality and mental health among Chinese nurses after the COVID-19 pandemic: A moderated model

Zhao,

Liu,

Lin

et al. 2024

PLoS ONE

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Introduction and aims In the specialized nursing setting, nurses are susceptible to developing negative mental health issues. Such conditions among nurses can potentially result in unfavorable medical outcomes. Consequently, this study aims to explore the role of social support in regulating between sleep and mental health in nurses. Methods A cross-sectional study was carried out in September 2022 on 1219 nurses in Quanzhou. The study comprised general demographic information and utilized various questionnaires, namely the Social Support Rate Scale (SSRS), Pittsburgh Sleep Quality Index Questionnaire (PSQI), Generalized Anxiety Disorder Questionnaire (GAD-7), and Patient Health Questionnaire-9 (PHQ-9). The data analysis was performed using t-tests, ANOVAs, Pearsons correlations and hierarchical regression analyses in SPSS software. Results Results show that significant associations of sleep quality and social support with anxiety and depression. Simple slope analysis shows that under low levels of social support, sleep quality has a positive impact on anxiety(β = 0.598) and depression(β = 0.851), and the impact is significant. Under high levels of social support, sleep quality also has a positive impact on anxiety(β = 0.462) and depression(β = 0.578), but the impact is smaller. This indicates that as the level of social support increases, the positive predictive effect of sleep quality on anxiety and depression gradually diminishes. Conclusions Social support has the potential to alter the impact of sleep quality on anxiety and depression. Therefore, healthcare policymakers need to focus on enhancing the level of social support and mitigating the impact of poor sleep on anxiety and depression.

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“…Another study from the COVID-19 era in over 4,000 hospital nurses in China reported rates of 18 and 12% for moderate to severe depressive symptoms and insomnia, respectively (Liang et al, 2021). A recent survey of nearly 1,800 frontline hospital nurses during full liberalization of COVID-19 showed alarmingly high rates of both depressive symptoms (69%) and insomnia (77%, Xiao et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

Psychobiological risk factors for insomnia and depressed mood among hospital female nurses working shifts

Bennaroch,

Shochat

2023

Front. Sleep

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IntroductionDespite a vast body of knowledge on the associations between insomnia and depression, and although women and shift workers are at high risk for each of these conditions separately, common psychobiological risk factors for developing insomnia and depressed mood concomitantly in high-functioning shift-working female nurses have yet to be investigated within a comprehensive framework. This study examines the contribution of shift work (disruption of circadian rhythms), stress, analytical rumination, and morningness-eveningness on the development of insomnia and depressed mood among female hospital nurses.ObjectivesWe sought to assess the severity and prevalence of insomnia symptoms and depressed mood among hospital shift-working compared with day-working nurses; to examine associations between psychobiological risk factors with insomnia and depressed mood; and to develop a conceptual psychobiological model to describe their co-occurrence among hospital nurses.MethodsUsing a cross-sectional design, we recruited female hospital nurses, shift workers (SW) and day workers (DW: only morning shifts), and assessed them for insomnia, depressed mood, stress, analytical rumination, and morningness-eveningness through validated self-administered questionnaires delivered online. Using structural equation modeling (SEM), we assessed common pathways between psychobiological factors affecting insomnia and depressed mood.Results448 nurses completed electronic questionnaires. SW nurses (n = 358) compared with DW nurses (n = 90) had significantly higher rates of insomnia and depressed mood. SW nurses also reported significantly higher severity of insomnia, depressed mood, stress, and a tendency to eveningness compared with DW nurses. A positive linear relationship was found between insomnia and depressed mood in both SW and DW nurses. SEM showed that shift work contributed directly to insomnia and indirectly to depressed mood. The overall model showed a good fit between the empirical and the conceptual psychobiological model proposed in the study [χ(1) = 0.16, p = 0.69, CFI = 0.99, RMSEA = 0.0001].DiscussionWe found that SW nurses who reported high levels of stress and eveningness are at significantly greater risk for both insomnia symptoms and depressed mood. Findings provide the groundwork in creating a conceptual psychobiological model to examine the co-occurrence of insomnia and depressed mood phenomena in hospital nurses. This research is an important first step toward the development of interventions aimed at improving nurses' health, wellbeing and quality of life by preventing the mental burden associated with insomnia and depressed mood.

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Anxiety, depression, and insomnia among nurses during the full liberalization of COVID-19: a multicenter cross-sectional analysis of the high-income region in China

Cited by 12 publications

References 43 publications

Prevalence of depressive symptoms and correlates among individuals who self-reported SARS-CoV-2 infection after optimizing the COVID-19 response in China

Prevalence of depressive symptoms and correlates among individuals who self-reported SARS-CoV-2 infection after optimizing the COVID-19 response in China

Sleep quality and mental health among Chinese nurses after the COVID-19 pandemic: A moderated model

Psychobiological risk factors for insomnia and depressed mood among hospital female nurses working shifts

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