Sleep disorder experienced by healthcare nurses after terminating Zero-COVID-19 policy

There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

Abstract

Objective

Medical staff, especially nurses, suffered great anxiety and stress from the COVID-19 pandemic, which negatively affected their sleep quality. In this study, we aimed to analyze the sleep quality of nursing staff after terminating the Zero-COVID-19 policy in China.

Methods

506 participants were involved in our study. The Pittsburgh Sleep Quality Index (PSQI) was used to evaluate the sleep status of the participants. Binary regression was performed to evaluate the impact factors related to sleep difficulty.

Results

The majority of participants (96.44%) suffered from sleep disturbances. There were significant differences in age, education level and front-line activity between participants with good sleep quality and sleep difficulty. Younger age (16–25 years old) was independently associated with less sleep difficulty, while front-line activity was independently associated with severe sleep difficulty.

Conclusion

Sleep disorder was very common among nurses after ending the Zero-COVID-19 policy in China. More front-line nurses suffered severe sleep difficulty in particular, which should be worthy of attention.

Related collections

Most cited references 27

Record: found
Abstract: found
Article: not found

The Pittsburgh sleep quality index: A new instrument for psychiatric practice and research

Daniel J. Buysse, Charles Reynolds III, Timothy H Monk … (1989)

Despite the prevalence of sleep complaints among psychiatric patients, few questionnaires have been specifically designed to measure sleep quality in clinical populations. The Pittsburgh Sleep Quality Index (PSQI) is a self-rated questionnaire which assesses sleep quality and disturbances over a 1-month time interval. Nineteen individual items generate seven "component" scores: subjective sleep quality, sleep latency, sleep duration, habitual sleep efficiency, sleep disturbances, use of sleeping medication, and daytime dysfunction. The sum of scores for these seven components yields one global score. Clinical and clinimetric properties of the PSQI were assessed over an 18-month period with "good" sleepers (healthy subjects, n = 52) and "poor" sleepers (depressed patients, n = 54; sleep-disorder patients, n = 62). Acceptable measures of internal homogeneity, consistency (test-retest reliability), and validity were obtained. A global PSQI score greater than 5 yielded a diagnostic sensitivity of 89.6% and specificity of 86.5% (kappa = 0.75, p less than 0.001) in distinguishing good and poor sleepers. The clinimetric and clinical properties of the PSQI suggest its utility both in psychiatric clinical practice and research activities.

0 comments Cited 5142 times – based on 0 reviews      Review now

Bookmark

Record: found
Abstract: found
Article: not found

Impact on mental health and perceptions of psychological care among medical and nursing staff in Wuhan during the 2019 novel coronavirus disease outbreak: A cross-sectional study

Lijun Kang, Simeng Ma, Min Min Chen … (2020)

Highlights • Medical staff experience mental health disturb during the COVID-19 pandemic. • Direct and indirect exposure to COVID-19 affects the mental health profoundly. • Psychological materials and resources provide some protection. • Interventions with appropriate level are urgent.

0 comments Cited 655 times – based on 0 reviews      Review now

Bookmark

Record: found
Abstract: found
Article: found

Is Open Access

The prevalence of stress, anxiety and depression within front-line healthcare workers caring for COVID-19 patients: a systematic review and meta-regression

Nader Salari, Habibolah Khazaie, Amin Hosseinian-Far … (2020)

Background Stress, anxiety, and depression are some of the most important research and practice challenges for psychologists, psychiatrists, and behavioral scientists. Due to the importance of issue and the lack of general statistics on these disorders among the Hospital staff treating the COVID-19 patients, this study aims to systematically review and determine the prevalence of stress, anxiety and depression within front-line healthcare workers caring for COVID-19 patients. Methods In this research work, the systematic review, meta-analysis and meta-regression approaches are used to approximate the prevalence of stress, anxiety and depression within front-line healthcare workers caring for COVID-19 patients. The keywords of prevalence, anxiety, stress, depression, psychopathy, mental illness, mental disorder, doctor, physician, nurse, hospital staff, 2019-nCoV, COVID-19, SARS-CoV-2 and Coronaviruses were used for searching the SID, MagIran, IranMedex, IranDoc, ScienceDirect, Embase, Scopus, PubMed, Web of Science (ISI) and Google Scholar databases. The search process was conducted in December 2019 to June 2020. In order to amalgamate and analyze the reported results within the collected studies, the random effects model is used. The heterogeneity of the studies is assessed using the I 2 index. Lastly, the data analysis is performed within the Comprehensive Meta-Analysis software. Results Of the 29 studies with a total sample size of 22,380, 21 papers have reported the prevalence of depression, 23 have reported the prevalence of anxiety, and 9 studies have reported the prevalence of stress. The prevalence of depression is 24.3% (18% CI 18.2–31.6%), the prevalence of anxiety is 25.8% (95% CI 20.5–31.9%), and the prevalence of stress is 45% (95% CI 24.3–67.5%) among the hospitals’ Hospital staff caring for the COVID-19 patients. According to the results of meta-regression analysis, with increasing the sample size, the prevalence of depression and anxiety decreased, and this was statistically significant (P < 0.05), however, the prevalence of stress increased with increasing the sample size, yet this was not statistically significant (P = 0.829). Conclusion The results of this study clearly demonstrate that the prevalence of stress, anxiety and depression within front-line healthcare workers caring for COVID-19 patients is high. Therefore, the health policy-makers should take measures to control and prevent mental disorders in the Hospital staff.

0 comments Cited 205 times – based on 0 reviews      Review now

Bookmark

All references

Author and article information

Contributors

Weiping Yao: ywpr_2008@126.com

Qiubi Tang: tangqiubi@126.com

Journal

Journal ID (nlm-ta): BMC Nurs

Journal ID (iso-abbrev): BMC Nurs

Title: BMC Nursing

Publisher: BioMed Central (London )

ISSN (Electronic): 1472-6955

Publication date (Electronic): 9 July 2024

Publication date PMC-release: 9 July 2024

Publication date Collection: 2024

Volume: 23

Electronic Location Identifier: 469

Affiliations

[1 ]Department of Nursing, Foshan Sanshui District People’s Hospital, ( https://ror.org/0493m8x04) Foshan, Guangdong Province 528100 China

[2 ]GRID grid.452881.2, ISNI 0000 0004 0604 5998, Department of Nursing, , First People’s Hospital of Foshan, ; Foshan, Guangdong Province 528000 China

[3 ]Department of Neurology and Advanced National Stroke Center, Foshan Sanshui District People’s Hospital, ( https://ror.org/0493m8x04) Foshan, Guangdong Province China

[4 ]Dean Office, Foshan Sanshui District People’s Hospital, ( https://ror.org/0493m8x04) Foshan, Guangdong Province China

[5 ]Epidemic Prevention and Control Team, Foshan Sanshui District People’s Hospital, ( https://ror.org/0493m8x04) Foshan, Guangdong Province China

[6 ]Department of Psychosomatic Medicine, Nanhai Public Health Hospital of Foshan City (Nanhai Mental Health Center), Foshan, Guangdong Province China

[7 ]School of Medicine, Dentistry and Biomedical Sciences, Queen’s University Belfast, ( https://ror.org/00hswnk62) Belfast, UK

[8 ]GRID grid.38142.3c, ISNI 000000041936754X, Neuroendovascular Program, Massachusetts General Hospital, Harvard Medical School, ; Boston, MA USA

[9 ]Department of Psychology, Foshan Sanshui District People’s Hospital, Foshan, Guangdong 528100 China

[10 ]School of Nursing, Guangdong Medical University, ( https://ror.org/04k5rxe29) Zhanjiang, China

[11 ]Fever Clinic, Foshan Sanshui District People’s Hospital, ( https://ror.org/0493m8x04) Foshan, Guangdong Province China

[12 ]GRID grid.410737.6, ISNI 0000 0000 8653 1072, Department of Nursing, , The Affiliated Brian Hospital of Guangzhou Medical University, Chronic Disease Department, ; Guangzhou, China

Article

Publisher ID: 2145

DOI: 10.1186/s12912-024-02145-y

PMC ID: 11232213

PubMed ID: 38982449

SO-VID: 41842cdf-05bc-4aea-bc7e-d7c65e6cae38

License:

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

History

Date received : 3 December 2023

Date accepted : 1 July 2024

Custom metadata

ScienceOpen disciplines: Nursing

Keywords: nurse,sleep disorder,pittsburgh sleep quality index,covid-19 pandemic

Data availability:

ScienceOpen disciplines: Nursing

Keywords: nurse, sleep disorder, pittsburgh sleep quality index, covid-19 pandemic

Sleep disorder experienced by healthcare nurses after terminating Zero-COVID-19 policy

Read this article at

Abstract

Objective

Methods

Results

Conclusion

Related collections

Novel Coronavirus Disease COVID-19

Most cited references 27

The Pittsburgh sleep quality index: A new instrument for psychiatric practice and research

Impact on mental health and perceptions of psychological care among medical and nursing staff in Wuhan during the 2019 novel coronavirus disease outbreak: A cross-sectional study

The prevalence of stress, anxiety and depression within front-line healthcare workers caring for COVID-19 patients: a systematic review and meta-regression

Author and article information

Contributors

Journal

Affiliations

Article

History

Categories

Custom metadata

Comments

Comment on this article

Similar content 242

Most referenced authors 466