Evidence map›Paper›PMID 32657449›Full record

ArticleJournal of nursing management2020

Factors associated with insomnia among Chinese front-line nurses fighting against COVID-19 in Wuhan: A cross-sectional survey.

Yuxin Zhan, Yunfang Liu, Huan Liu, Mei Li, Yue Shen, Lingli Gui, Jun Zhang, Zhihua Luo, Xiubin Tao, Jiaohua Yu

Open access · greenAbstract read
In one paragraph

Article in Journal of nursing management, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed, 5 pooled it
17.3field-weighted citation impact, top 1% of its field
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

64 citing papers in PubMed, 5 syntheses or guidelines pooled it, 119 citations in OpenAlex.

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  5. Investigating the Psychological Impact of COVID-19 among Healthcare Workers: A Meta-Analysis.International journal of environmental research and public health · 2020
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4 more citing papers are in PubMed but not listed here.

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

10 authors at 6 institutions in 1 country.

Yuxin ZhanDepartment of Nursing, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.ORCID https://orcid.org/0000-0001-8266-692X
Yunfang LiuDepartment of Nursing, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Huan LiuDepartment of Nursing, Yijishan Hospital Affiliated to Wannan Medical College, Wuhu, China.
Mei LiDepartment of Intensive Care Unit, The Central Hospital of Wuhan Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yue ShenDepartment of Oncology, Renmin Hospital of Wuhan University, Wuhan, China.
Lingli GuiNursing Department of Radiation and Medical Oncology, Zhongnan Hospital, Wuhan University, Wuhan, China.
Jun ZhangDepartment of Pain, Affiliated Hospital of Jianghan University, Wuhan, China.
Zhihua LuoNeurosurgery Department, Wuhan NO. 1 Hospital, Wuhan, China.
Xiubin TaoDepartment of Nursing, Yijishan Hospital Affiliated to Wannan Medical College, Wuhu, China.
Jiaohua YuDepartment of Nursing, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Union Hospital · CNWannan Medical College · CNWuhan University · CNCentral Hospital of Wuhan · CNWuhan No.1 Hospital · CNWuhan Sixth Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo investigate the prevalence of insomnia among front-line nurses fighting against COVID-19 in Wuhan, China, and analyse its influencing factors.

backgroundInsomnia is an important factor that can affect the health and work quality of nurses. However, there is a lack of big-sample studies exploring factors that affect the insomnia of nurses fighting against COVID-19.

methodThis cross-sectional study using the Ascension Insomnia Scale, Fatigue Scale-14 and Perceived Stress Scale took place in March 2020. Participants were 1,794 front-line nurses from four tertiary-level general hospitals.

resultsThe prevalence of insomnia among participants was 52.8%. Insomnia was predicted by gender, working experience, chronic diseases, midday nap duration, direct participation in the rescue of patients with COVID-19, frequency of night shifts, professional psychological assistance during the pandemic, negative experiences (such as family, friends or colleagues being seriously ill or dying due to COVID-19), the degree of fear of COVID-19, fatigue and perceived stress.

conclusionThe level of insomnia among participants was higher than the normal level. Interventions based on influencing factors should be implemented to ensure nurses' sleep quality. IMPLICATIONS FOR NURSING MANAGEMENT: An in-depth understanding of the influencing factors of insomnia among front-line nurses can help nurse managers develop solutions to improve front-line nurses' sleep quality, which will enhance the physical and mental conditions of nurses and promote the quality of care.

Indexed as

AdultAge FactorsChinaCOVID-19Cross-Sectional StudiesFemaleHumansMaleMiddle AgedNursesOccupational DiseasesOccupational StressPrevalenceSex FactorsSleep Initiation and Maintenance DisordersYoung AdultChinaCOVID-19front-line nursesinfluencing factorsinsomnia

Identifiers

PMID32657449
PMCPMC7405094
OpenAlexW3041285680

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.