Nurses and midwives' sleep quality and its associated factors during the early COVID-19 pandemic in Iran

Haseli, Arezoo; Egdampur, Farideh; Qaderi, Kowsar; Kaffashian, Mohammad Reza; Delpisheh, Ali

doi:10.1016/j.heliyon.2023.e15068

Cited by 4 publications

(1 citation statement)

References 25 publications

(36 reference statements)

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“…The finding of different studies shows the psychological effects of quarantine can differ from stress to anxiety, depression, and other emotional disorders. [ 25 26 27 ] Contrary to the findings of the previous study, we did not find high anxiety in pregnant women due to the difference in the anxiety scale and the location of the study. Additionally, these results go beyond previous reports about the relationship between self-quarantine and anxiety and not only the effect of COVID-19.…”

Section: Discussioncontrasting

confidence: 99%

Mental Health in Self-Quarantined Pregnant Women for 14 Days During the Coronavirus Outbreak in Iran

Ghiasi,

Kazempour,

Haseli

et al. 2024

Iranian Journal of Nursing and Midwifery Research

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Background: Quarantine during COVID-19 disease may be associated with psychological distress and other behavioral problems. This study aimed to investigate depression, anxiety, and stress in self-quarantined pregnant women at home for 14 days during the coronavirus disease outbreak in Iran. Materials and Methods: A cross-sectional web survey was carried out on 874 pregnant women in all governmental health centers of two cities in Iran using the census method in 2020-21. Survey data were collected with the Depression, Anxiety, and Stress Scale-21. Data were analyzed using descriptive statistics and analytical tests (Chi-square, Pearson’s correlation coefficient, and logistic regression) at significance level less than 0.05. Results: Approximately 40.04% (N = 350) of the participants were classified as a self-quarantine group. The mean (SD) of the stress score was higher for the quarantine group compared to nonquarantine (8.12 (4.95) vs. 5.96 (4.51)) (F2,874 = 25.180, p < 0.001). But there was no significant difference in the depression and anxiety scores between the quarantine group compared to nonquarantine, respectively. Additionally, the adjusted odds ratio for stress score was associated with an unwanted pregnancy (1.993, 95% CI: 1.108–3.587; p = 0.021), younger age (1.707, 95% CI: 1.082–2.692; p = 0.022) and uninsured coverage (2.240, 95% CI: 1.320–3.801; p = 0.003), and complete quarantine (2.027, 95% CI: 1.548–2.654; p < 0.001). Conclusions: Self-quarantine during the COVID-19 pandemic has been related to high-stress levels, specifically, among women of younger age, uninsured, and unwanted pregnancies. Thus, quarantined pregnant women will need more mental health support and medical supplies.

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Section: Discussioncontrasting

confidence: 99%

Mental Health in Self-Quarantined Pregnant Women for 14 Days During the Coronavirus Outbreak in Iran

Ghiasi,

Kazempour,

Haseli

et al. 2024

Iranian Journal of Nursing and Midwifery Research

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Prevalence of sleep disturbances among intensive care nurses: A systematic review and meta‐analysis

Gong,

Mei,

et al. 2024

Nursing in Critical Care

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BackgroundDemanding intensive care unit (ICU) work environments may lead to sleep disturbances in nurses, impacting their health and potentially patient safety. Yet, the prevalence remains unclear around the world.AimsTo quantify the prevalence of sleep disturbances in intensive care nurses.Study DesignSystematic review and meta‐analysis. A database search was conducted in Embase, PubMed, Web of Science, Scopus and CINAHL from their inception to April 2024 for relevant studies. Data from observational studies (cross‐sectional or cohort) that reported the prevalence of sleep disturbances, assessed using the Pittsburgh Sleep Quality Index (PSQI > 5), pooled in random‐effects meta‐analyses. Subgroup analyses were used to investigate variations in the prevalence estimates in terms of available variables. A Preferred Reporting Items for Systematic Reviews and Meta‐analyses (PRISMA)‐compliant protocol was registered in PROSPERO (CRD42023476428).ResultsIn total, 24 articles were included in this study published from 1996 to 2023. Included studies were from 15 unique countries. Almost all of the studies were descriptive cross‐sectional studies (n = 22; 91.7%). The included studies encompassed a range of intensive care nurses, from 42 to 605, involving a total of 3499 intensive care nurses. The reported proportion of intensive care nurses with sleep disturbances ranged from 20.0% to 100.0%, with a median of 76.7% (interquartile range: 62.9–85.7). The pooled prevalence of sleep disturbances in intensive care nurses was 75.1% (95% confidence interval: 37.2–53.1; 95% prediction interval: 30.5–95.4).ConclusionsSleep disturbance is a common issue in intensive care nurses. The study results highlight the importance of implementing effective interventions as early as possible to improve ICU sleep quality.Relevance to Clinical PracticeHigh prevalence of sleep disturbances among intensive care nurses necessitates global interventions. Gender‐neutral approaches that acknowledge comparable risks and stable prevalence over time require long‐term strategies. Raising awareness through programmes is vital for implementing evidence‐based interventions to promote sleep health in intensive care nurses.

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Exploring the Associations between Chronotype, Night Shift Work Schedule, Quality of Work Life, and Sleep Quality among Maternal and Child Health Nurses: A Multicentre Cross-Sectional Study

Li,

Chen,

Jiang

et al. 2023

Journal of Nursing Management

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Aim. To examine the state of sleep quality among maternal and child health (MCH) nurses and explore the associations between chronotype, night shift work schedule, quality of work life, and sleep quality among MCH nurses. Background. MCH nurses, who play an important role in protecting the health of women and children, often experience poor sleep quality. However, research on the sleep quality of MCH nurses has been scarce following implementation of the three-child policy in China. Methods. A multicentre cross-sectional study was conducted with 1426 MCH nurses. Data were collected using a demographic questionnaire, participants’ self-reported chronotype, the Pittsburgh Sleep Quality Index, and the Work-Related Quality of Life-2 scale. A chi-squared test, independent samples t-test, Pearson correlation test, and binary logistic regression analysis were used to analyse the data. Results. Of the 1426 respondents, 57.9% reported poor sleep quality. Binary logistic regression analysis indicated that chronotype, including intermediate-morning, intermediate-evening, and evening (reference: morning), and quality of work life, including stress at work, control at work, and general well-being, had effects on sleep quality among MCH nurses. Older age, frequent caffeine intake, and irregular meals were also associated with poor sleep quality. However, night shift work schedule did not affect sleep quality in the adjusted model. Conclusions. Poor sleep quality was common among MCH nurses. The findings of this study also illustrate that chronotype and quality of work life are closely related to sleep quality. Implications for Nursing Management. Nursing managers should be aware of MCH nurses’ chronotype and quality of work life and tailor interventions to address both modifiable and nonmodifiable factors associated with sleep to improve MCH nurses’ sleep quality.

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Nurses and midwives' sleep quality and its associated factors during the early COVID-19 pandemic in Iran

Cited by 4 publications

References 25 publications

Mental Health in Self-Quarantined Pregnant Women for 14 Days During the Coronavirus Outbreak in Iran

Mental Health in Self-Quarantined Pregnant Women for 14 Days During the Coronavirus Outbreak in Iran

Prevalence of sleep disturbances among intensive care nurses: A systematic review and meta‐analysis

Exploring the Associations between Chronotype, Night Shift Work Schedule, Quality of Work Life, and Sleep Quality among Maternal and Child Health Nurses: A Multicentre Cross-Sectional Study

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