Sleep quality status, anxiety, and depression status of nurses in infectious disease department

Xi, Shuangmei; Gu, Yanmei; Guo, Heng; Jin, Boxun; Guo, Fei; Miao, Wenjing; Zhang, Lili

doi:10.3389/fpsyg.2022.947948

Cited by 9 publications

(3 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…impact of social support on nurses, the quality of sleep can still have a positive influence on levels of anxiety and depression. These findings align with previous research in this area [50][51][52][53]. Furthermore, the above epidemiological research has indicated a positive correlation between sleep problems and anxiety and depression.…”

Section: Plos Onesupporting

confidence: 92%

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

Zhao,

Liu,

Lin

et al. 2024

PLoS ONE

View full text Add to dashboard Cite

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.

show abstract

Section: Plos Onesupporting

confidence: 92%

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

Zhao,

Liu,

Lin

et al. 2024

PLoS ONE

View full text Add to dashboard Cite

show abstract

“…Sleep quality was assessed using the PSQI; the assessment has 19 items across 7 component dimensions (subjective sleep quality, sleep latency, sleep duration, habitual sleep efficiency, sleep disturbances, use of sleeping medications, and daytime dysfunction). 28 Each component score ranges from 0–3 and the global score is the total of the seven component scores (range: 0–21). 29 The global score reflects the severity of sleep disorders: 0–5, none; 6–10, mild; 11–15, moderate; and 16–21, severe.…”

Section: Methodsmentioning

confidence: 99%

Neuropsychiatric Adverse Events Following Antiretroviral Therapy in People Living with HIV: A Real-World Study of Dynamic Trends and Risk Factors in Hangzhou, China

Zhang¹,

Wang²,

Li³

et al. 2023

IDR

View full text Add to dashboard Cite

Purpose Neuropsychiatric adverse events (NPAEs) occur frequently in people living with human immunodeficiency virus (PLWH) receiving antiretroviral therapy (ART). This study aimed to assess the dynamic trends and risk factors of NPAEs among PLWH in Hangzhou taking efavirenz (EFV)- or dolutegravir (DTG)- or elvitegravir (EVG)-based regimens. Patients and Methods A total of 287 ART-naive PLWH were included in this study, EFV (400mg)- (n = 122), EFV (600mg)- (n = 37), DTG- (n = 73), EVG-based (n = 47) and other ART regimens (n = 8) as the initial ART regimen were administered for 12 months. All data were collected at five time points within a 12-month follow-up. The Pittsburgh Sleep Quality Index and Hospital Anxiety and Depression Scale were used to evaluate sleep disorders and anxiety and depression symptoms, respectively. The dynamic trends and potential risk factors of NPAEs were investigated using a generalized linear mixed model. Results Mean age was 29.4 (SD: 7.5) years with 97.2% males. After 12 months of ART, the prevalence of sleep disorders and anxiety decreased significantly, although only a slight improvement was observed for depression. In addition, there was a significant positive correlation between sleep disorders, anxiety, and depression. The risk factors for NPAEs differed slightly depending on the choice of ART regimen, but the seven factors most commonly associated with NPAEs were age, sex, marital status, education level, smoking status, body mass index, and WHO clinical stage. Treatment-induced changes in CD4-positive T-cell count and virological suppression did not depend on the particular choice of ART regimen. Conclusion The prevalence of sleep disorders and anxiety changed significantly over time on ART and the risks of these disorders were associated with seven common clinical and demographic factors.

show abstract

“…However, night shifts can disrupt nurses' sleep, affecting their biological clocks and sleep patterns, posing a challenge to their normal circadian rhythms (Alfonsi et al., 2021; Hernandez et al., 2022). International studies have shown that the prevalence of sleep disturbances among night shift nurses is significantly higher compared to the general population (Sun et al., 2019), ranging between 13.5% and 65.8% (Deng et al., 2020; Dong et al., 2020; Xi et al., 2022). Decreased sleep quality can lead to a range of physical health issues, such as headaches, gastrointestinal discomfort, obesity, diabetes, hypertension, coronary heart disease and even breast cancer (Alfonsi et al., 2021).…”

Section: Introductionmentioning

confidence: 99%

Latent class analysis of the sleep quality of night shift nurses and impact of shift‐related factors on the occupational stress and anxiety

Yuan,

Fang

2024

Journal of Advanced Nursing

View full text Add to dashboard Cite

AimsThe objective of this study is to explore the various latent categories within the sleep quality of night shift nurses and to investigate whether shift‐related factors predispose nurses to higher levels of occupational stress and anxiety.DesignThis is a cross‐sectional study.MethodsFrom November to December 2020, registered nurses from 18 tertiary hospitals and 16 secondary hospitals in Chongqing were selected through convenience sampling for this study. Latent class analysis was used to investigate the sleep quality of nurses working night shifts. Furthermore, univariate analysis and logistic multivariate analysis were utilized to identify the contributing factors to occupational stress and anxiety.ResultsThe four latent categories of Pittsburgh Sleep Quality Index for night shift nurses were identified as ‘Low Sleep Disorder Group’ (56.34%), ‘Moderate Sleep Disorder Group’ (37.27%), ‘High Sleep Disorder Non‐Reliant on Sleeping medication Group’ (4.89%) and ‘High Sleep Disorder Reliant on Sleeping medication Group’ (1.50%). The results showed that having a night‐shift frequency of 3–4 times per month, night‐shift durations of 9–12 h, sleep time delay after night shift (≥2 h), total sleep time after night shift less than 4 h were shift‐related factors that increased the levels of occupational stress and anxiety.ConclusionThe sleep quality of night shift nurses demonstrates heterogeneity and can be classified into four latent categories. Higher frequency of night shifts, extended work hours and insufficient rest time are all associated with increased levels of occupational stress and anxiety.ImpactBy identifying the four latent categories of sleep quality among night shift nurses, this study sheds light on the relationship between sleep patterns and levels of occupational stress and anxiety. These findings have important implications for healthcare institutions in the management of nurse well‐being and work schedules.Patient or Public ContributionNo patient or public contribution.

show abstract

Sleep quality status, anxiety, and depression status of nurses in infectious disease department

Cited by 9 publications

References 26 publications

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

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

Neuropsychiatric Adverse Events Following Antiretroviral Therapy in People Living with HIV: A Real-World Study of Dynamic Trends and Risk Factors in Hangzhou, China

Latent class analysis of the sleep quality of night shift nurses and impact of shift‐related factors on the occupational stress and anxiety

Contact Info

Product

Resources

About