Evidence map›Paper›PMID 38982449›Full record

ArticleBMC nursing2024

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

Minyi Su, Mingzhu Feng, Wanling Pan, Xuelan Huang, Lei Pan, Yanling Zhu, Le Wang, Mohammad Mofatteh, Adam A Dmytriw, Dongxia Liang and 6 more

Abstract read
In one paragraph

Article in BMC nursing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Minyi Su *Department of Nursing, Foshan Sanshui District People's Hospital, Foshan, Guangdong Province, 528100, China.
Mingzhu Feng *Department of Neurology and Advanced National Stroke Center, Foshan Sanshui District People's Hospital, Foshan, Guangdong Province, China.
Wanling PanDepartment of Nursing, Foshan Sanshui District People's Hospital, Foshan, Guangdong Province, 528100, China.
Xuelan HuangDepartment of Nursing, Foshan Sanshui District People's Hospital, Foshan, Guangdong Province, 528100, China.
Lei PanDean Office, Foshan Sanshui District People's Hospital, Foshan, Guangdong Province, China.
Yanling ZhuDepartment of Nursing, Foshan Sanshui District People's Hospital, Foshan, Guangdong Province, 528100, China.
Le WangDepartment of Psychosomatic Medicine, Nanhai Public Health Hospital of Foshan City (Nanhai Mental Health Center), Foshan, Guangdong Province, China.
Mohammad MofattehSchool of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, Belfast, UK.
Adam A DmytriwNeuroendovascular Program, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Dongxia LiangDepartment of Psychology, Foshan Sanshui District People's Hospital, Foshan, Guangdong, 528100, China.
Shuling WangDepartment of Psychology, Foshan Sanshui District People's Hospital, Foshan, Guangdong, 528100, China.
Wanyi LiangDepartment of Psychology, Foshan Sanshui District People's Hospital, Foshan, Guangdong, 528100, China.
Yu ChenSchool of Nursing, Guangdong Medical University, Zhanjiang, China.
Yimin ChenDepartment of Neurology and Advanced National Stroke Center, Foshan Sanshui District People's Hospital, Foshan, Guangdong Province, China.
Weiping YaoDean Office, Foshan Sanshui District People's Hospital, Foshan, Guangdong Province, China. ywpr_2008@126.com.
Qiubi TangDepartment of Nursing, The Affiliated Brian Hospital of Guangzhou Medical University, Chronic Disease Department, Guangzhou, China. tangqiubi@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveMedical 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.

methods506 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.

resultsThe 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.

conclusionSleep 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.

Indexed as

COVID-19 pandemicNursePittsburgh Sleep Quality IndexSleep disorder

Identifiers

PMID38982449
PMCPMC11232213

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.