Evidence map›Paper›PMID 32771927›Full record

ArticleSleep medicine2020

Prevalence and associated factors of poor sleep quality among Chinese returning workers during the COVID-19 pandemic.

Yu Yang, Jian-Fu Zhu, Shu-Yue Yang, Hai-Jiang Lin, Yue Chen, Qi Zhao, Chao-Wei Fu

Open access · greenAbstract read
In one paragraph

Article in Sleep medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 3 pooled it
4.7field-weighted citation impact, top 4% 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

29 citing papers in PubMed, 3 syntheses or guidelines pooled it, 67 citations in OpenAlex.

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  14. Irrational Consumption during the COVID-19 Period.International journal of environmental research and public health · 2022
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  20. A Prospective Study of Mental Health, Well-Being, and Substance Use During the Initial COVID-19 Pandemic Surge.Clinical psychological science : a journal of the Association for Psychological Science · 2021
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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

7 authors at 3 institutions in 2 countries.

Yu YangSchool of Public Health, Key Laboratory of Public Health Safety, NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, 200032, China.
Jian-Fu ZhuDeqing County Center of Disease Prevention and Control, Zhejiang Province, 313299, China.
Shu-Yue YangSchool of Public Health, Key Laboratory of Public Health Safety, NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, 200032, China.
Hai-Jiang LinTaizhou City Center of Disease Prevention and Control, Zhejiang Province, 318000, China.
Yue ChenSchool of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, K1G 5Z3, Canada.
Qi ZhaoSchool of Public Health, Key Laboratory of Public Health Safety, NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, 200032, China. Electronic address: zhaoqi@shmu.edu.cn.
Chao-Wei FuSchool of Public Health, Key Laboratory of Public Health Safety, NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, 200032, China. Electronic address: fcw@fudan.edu.cn.
Fudan University · CNZhejiang Center for Disease Control and Prevention · CNUniversity of Ottawa · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe 2019 novel coronavirus (COVID-19) pandemic is a severe global crisis which has resulted in many public health problems. This study aimed to investigate the prevalence of poor sleep quality and its related factors among employees who returned to work during the COVID-19 pandemic.

methodsOur online cross-sectional study included 2,410 participants aged ≥17 years in Deqing and Taizhou, Zhejiang Province, China from 5th to 14th March 2020. The questionnaire covered information on demographic characteristics, health status, workplace, lifestyle, attitude towards COVID-19, assessment of anxiety, depression and sleep quality. The Chinese version of the Pittsburgh Sleep Quality Index (CPSQI) was administered to measure the poor sleep quality. Poor sleep quality was defined as a global PSQI score>5. Factors associated with sleep quality were analyzed by logistic regression models.

resultsIn sum near half (49.2%) of 2,410 returning workers were females and the average year of subjects was 36.3 ± 9.1 years. The overall prevalence of poor sleep quality was 14.9% (95%CI: 13.5%-16.3%). The average score of PSQI was 3.0 ± 2.5 and average sleep duration was 7.6 ± 1.2 h. Independent related factors of poor sleep quality included age older than 24 years, higher education level, negative attitude towards COVID-19 control measures, anxiety and depression.

conclusionsPoor sleep quality was common and there was a shorter sleep duration among returning workers during the COVID-19 pandemic. Possible risk factors identified from this study may be of great importance in developing proper intervention for the targeted population to improve the sleep health during the COVID-19 public health emergency.

Indexed as

BetacoronavirusPandemicsAdolescentAdultChinaCoronavirus InfectionsCOVID-19Cross-Sectional StudiesFemaleHumansMaleMiddle AgedPneumonia, ViralPrevalenceSARS-CoV-2Sleep Initiation and Maintenance DisordersChinaCOVID-19Occupational populationPittsburgh sleep quality indexPoor sleep quality

Identifiers

PMID32771927
PMCPMC7358171
OpenAlexW3042148202

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.