Survey of Insomnia and Related Social Psychological Factors Among Medical Staff Involved in the 2019 Novel Coronavirus Disease Outbreak.
Identifieur interne : 000272 ( Main/Exploration ); précédent : 000271; suivant : 000273Survey of Insomnia and Related Social Psychological Factors Among Medical Staff Involved in the 2019 Novel Coronavirus Disease Outbreak.
Auteurs : Chenxi Zhang [République populaire de Chine] ; Lulu Yang [République populaire de Chine] ; Shuai Liu [République populaire de Chine] ; Simeng Ma [République populaire de Chine] ; Ying Wang [République populaire de Chine] ; Zhongxiang Cai [République populaire de Chine] ; Hui Du [République populaire de Chine] ; Ruiting Li [République populaire de Chine] ; Lijun Kang [République populaire de Chine] ; Meilei Su [République populaire de Chine] ; Jihui Zhang [République populaire de Chine] ; Zhongchun Liu [République populaire de Chine] ; Bin Zhang [République populaire de Chine]Source :
- Frontiers in psychiatry [ 1664-0640 ] ; 2020.
Abstract
Objective
The outbreak of the 2019 novel coronavirus disease (COVID-19) not only caused particularly large public health problems, but also caused great psychological distress, especially for medical staff. We aimed to investigate the prevalence rate of insomnia and to confirm the related social psychological factors among medical staff in hospitals during the COVID-19 outbreak.
Method
Medical staff members in China were recruited, including frontline medical workers. The questionnaire, administered through the WeChat program, obtained demographic data and asked self-design questions related to the COVID-19 outbreak, insomnia/depressive/anxiety symptoms, and stress-related symptoms. We used a logistic regression analysis to examine the associations between sociodemographic factors and insomnia symptoms.
Result
There were a total of 1,563 participants in our study. Five-hundred-and-sixty-four (36.1%) participants had insomnia symptoms according to the Insomnia Severity Index (ISI) (total score ≥ 8). A multiple binary logistic regression model revealed that insomnia symptoms were associated with an education level of high school or below (OR = 2.69,
Conclusion
Our study found that more than one-third of the medical staff suffered insomnia symptoms during the COVID-19 outbreak. The related factors included education level, an isolation environment, psychological worries about the COVID-19 outbreak, and being a doctor. Interventions for insomnia among medical staff are needed considering the various sociopsychological factors at play in this situation.
DOI: 10.3389/fpsyt.2020.00306
PubMed: 32346373
PubMed Central: PMC7171048
Affiliations:
- République populaire de Chine
- Guangdong, Hubei
- Jiangmen, Sha Tin, Wuhan
- Université chinoise de Hong Kong
Links toward previous steps (curation, corpus...)
Le document en format XML
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<author><name sortKey="Li, Ruiting" sort="Li, Ruiting" uniqKey="Li R" first="Ruiting" last="Li">Ruiting Li</name>
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<author><name sortKey="Su, Meilei" sort="Su, Meilei" uniqKey="Su M" first="Meilei" last="Su">Meilei Su</name>
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<author><name sortKey="Zhang, Jihui" sort="Zhang, Jihui" uniqKey="Zhang J" first="Jihui" last="Zhang">Jihui Zhang</name>
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<author><name sortKey="Liu, Zhongchun" sort="Liu, Zhongchun" uniqKey="Liu Z" first="Zhongchun" last="Liu">Zhongchun Liu</name>
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<author><name sortKey="Zhang, Bin" sort="Zhang, Bin" uniqKey="Zhang B" first="Bin" last="Zhang">Bin Zhang</name>
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<front><div type="abstract" xml:lang="en"><p><b>Objective</b>
</p>
<p>The outbreak of the 2019 novel coronavirus disease (COVID-19) not only caused particularly large public health problems, but also caused great psychological distress, especially for medical staff. We aimed to investigate the prevalence rate of insomnia and to confirm the related social psychological factors among medical staff in hospitals during the COVID-19 outbreak.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>Method</b>
</p>
<p>Medical staff members in China were recruited, including frontline medical workers. The questionnaire, administered through the WeChat program, obtained demographic data and asked self-design questions related to the COVID-19 outbreak, insomnia/depressive/anxiety symptoms, and stress-related symptoms. We used a logistic regression analysis to examine the associations between sociodemographic factors and insomnia symptoms.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>Result</b>
</p>
<p>There were a total of 1,563 participants in our study. Five-hundred-and-sixty-four (36.1%) participants had insomnia symptoms according to the Insomnia Severity Index (ISI) (total score ≥ 8). A multiple binary logistic regression model revealed that insomnia symptoms were associated with an education level of high school or below (OR = 2.69, </p>
</div>
<div type="abstract" xml:lang="en"><p><b>Conclusion</b>
</p>
<p>Our study found that more than one-third of the medical staff suffered insomnia symptoms during the COVID-19 outbreak. The related factors included education level, an isolation environment, psychological worries about the COVID-19 outbreak, and being a doctor. Interventions for insomnia among medical staff are needed considering the various sociopsychological factors at play in this situation.</p>
</div>
</front>
</TEI>
<pubmed><MedlineCitation Status="PubMed-not-MEDLINE" Owner="NLM"><PMID Version="1">32346373</PMID>
<DateRevised><Year>2020</Year>
<Month>05</Month>
<Day>05</Day>
</DateRevised>
<Article PubModel="Electronic-eCollection"><Journal><ISSN IssnType="Print">1664-0640</ISSN>
<JournalIssue CitedMedium="Print"><Volume>11</Volume>
<PubDate><Year>2020</Year>
</PubDate>
</JournalIssue>
<Title>Frontiers in psychiatry</Title>
<ISOAbbreviation>Front Psychiatry</ISOAbbreviation>
</Journal>
<ArticleTitle>Survey of Insomnia and Related Social Psychological Factors Among Medical Staff Involved in the 2019 Novel Coronavirus Disease Outbreak.</ArticleTitle>
<Pagination><MedlinePgn>306</MedlinePgn>
</Pagination>
<ELocationID EIdType="doi" ValidYN="Y">10.3389/fpsyt.2020.00306</ELocationID>
<Abstract><AbstractText Label="Objective" NlmCategory="UNASSIGNED">The outbreak of the 2019 novel coronavirus disease (COVID-19) not only caused particularly large public health problems, but also caused great psychological distress, especially for medical staff. We aimed to investigate the prevalence rate of insomnia and to confirm the related social psychological factors among medical staff in hospitals during the COVID-19 outbreak.</AbstractText>
<AbstractText Label="Method" NlmCategory="UNASSIGNED">Medical staff members in China were recruited, including frontline medical workers. The questionnaire, administered through the WeChat program, obtained demographic data and asked self-design questions related to the COVID-19 outbreak, insomnia/depressive/anxiety symptoms, and stress-related symptoms. We used a logistic regression analysis to examine the associations between sociodemographic factors and insomnia symptoms.</AbstractText>
<AbstractText Label="Result" NlmCategory="UNASSIGNED">There were a total of 1,563 participants in our study. Five-hundred-and-sixty-four (36.1%) participants had insomnia symptoms according to the Insomnia Severity Index (ISI) (total score ≥ 8). A multiple binary logistic regression model revealed that insomnia symptoms were associated with an education level of high school or below (OR = 2.69, <i>p</i>
= 0.042, 95% CI = 1.0-7.0), being a doctor (OR = 0.44, <i>p</i>
= 0.007, 95% CI = 0.2-0.8), currently working in an isolation unit (OR = 1.71, <i>p</i>
= 0.038, 95% CI = 1.0-2.8), is worried about being infected (OR = 2.30, p < 0.001, 95% CI = 1.6-3.4), perceived lack of helpfulness in terms of psychological support from news or social media with regard to COVID-19 (OR = 2.10, <i>p</i>
= 0.001, 95% CI = 1.3-3.3), and having very strong uncertainty regarding effective disease control (OR = 3.30, <i>p</i>
= 0.013, 95% CI = 1.3-8.5).</AbstractText>
<AbstractText Label="Conclusion" NlmCategory="UNASSIGNED">Our study found that more than one-third of the medical staff suffered insomnia symptoms during the COVID-19 outbreak. The related factors included education level, an isolation environment, psychological worries about the COVID-19 outbreak, and being a doctor. Interventions for insomnia among medical staff are needed considering the various sociopsychological factors at play in this situation.</AbstractText>
<CopyrightInformation>Copyright © 2020 Zhang, Yang, Liu, Ma, Wang, Cai, Du, Li, Kang, Su, Zhang, Liu and Zhang.</CopyrightInformation>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Zhang</LastName>
<ForeName>Chenxi</ForeName>
<Initials>C</Initials>
<AffiliationInfo><Affiliation>Department of Psychiatry, Nanfang Hospital, Southern Medical University, Guangzhou, China.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Guangdong-Hong Kong-Macao Greater Bay Area Center for Brain Science and Brain-Inspired Intelligence, Guangzhou, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Yang</LastName>
<ForeName>Lulu</ForeName>
<Initials>L</Initials>
<AffiliationInfo><Affiliation>Department of Psychiatry, Nanfang Hospital, Southern Medical University, Guangzhou, China.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Guangdong-Hong Kong-Macao Greater Bay Area Center for Brain Science and Brain-Inspired Intelligence, Guangzhou, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Liu</LastName>
<ForeName>Shuai</ForeName>
<Initials>S</Initials>
<AffiliationInfo><Affiliation>Department of Psychiatry, Nanfang Hospital, Southern Medical University, Guangzhou, China.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Guangdong-Hong Kong-Macao Greater Bay Area Center for Brain Science and Brain-Inspired Intelligence, Guangzhou, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Ma</LastName>
<ForeName>Simeng</ForeName>
<Initials>S</Initials>
<AffiliationInfo><Affiliation>Department of Psychiatry, RenMin Hospital of Wuhan University, Wuhan, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Wang</LastName>
<ForeName>Ying</ForeName>
<Initials>Y</Initials>
<AffiliationInfo><Affiliation>Department of Psychiatry, RenMin Hospital of Wuhan University, Wuhan, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Cai</LastName>
<ForeName>Zhongxiang</ForeName>
<Initials>Z</Initials>
<AffiliationInfo><Affiliation>Department of Psychiatry, RenMin Hospital of Wuhan University, Wuhan, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Du</LastName>
<ForeName>Hui</ForeName>
<Initials>H</Initials>
<AffiliationInfo><Affiliation>Department of Psychiatry, Jing Men No. 2 People's Hospital, Jingmen, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Li</LastName>
<ForeName>Ruiting</ForeName>
<Initials>R</Initials>
<AffiliationInfo><Affiliation>Department of Psychiatry, RenMin Hospital of Wuhan University, Wuhan, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Kang</LastName>
<ForeName>Lijun</ForeName>
<Initials>L</Initials>
<AffiliationInfo><Affiliation>Department of Psychiatry, RenMin Hospital of Wuhan University, Wuhan, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Su</LastName>
<ForeName>Meilei</ForeName>
<Initials>M</Initials>
<AffiliationInfo><Affiliation>Department of Psychiatry, Nanfang Hospital, Southern Medical University, Guangzhou, China.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Guangdong-Hong Kong-Macao Greater Bay Area Center for Brain Science and Brain-Inspired Intelligence, Guangzhou, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Zhang</LastName>
<ForeName>Jihui</ForeName>
<Initials>J</Initials>
<AffiliationInfo><Affiliation>Department of Psychiatry, The Chinese University of Hong Kong, Hong Kong, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Liu</LastName>
<ForeName>Zhongchun</ForeName>
<Initials>Z</Initials>
<AffiliationInfo><Affiliation>Department of Psychiatry, RenMin Hospital of Wuhan University, Wuhan, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Zhang</LastName>
<ForeName>Bin</ForeName>
<Initials>B</Initials>
<AffiliationInfo><Affiliation>Department of Psychiatry, Nanfang Hospital, Southern Medical University, Guangzhou, China.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Guangdong-Hong Kong-Macao Greater Bay Area Center for Brain Science and Brain-Inspired Intelligence, Guangzhou, China.</Affiliation>
</AffiliationInfo>
</Author>
</AuthorList>
<Language>eng</Language>
<PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType>
</PublicationTypeList>
<ArticleDate DateType="Electronic"><Year>2020</Year>
<Month>04</Month>
<Day>14</Day>
</ArticleDate>
</Article>
<MedlineJournalInfo><Country>Switzerland</Country>
<MedlineTA>Front Psychiatry</MedlineTA>
<NlmUniqueID>101545006</NlmUniqueID>
<ISSNLinking>1664-0640</ISSNLinking>
</MedlineJournalInfo>
<KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">COVID-19</Keyword>
<Keyword MajorTopicYN="N">insomnia</Keyword>
<Keyword MajorTopicYN="N">isolation</Keyword>
<Keyword MajorTopicYN="N">medical staff</Keyword>
<Keyword MajorTopicYN="N">mental health</Keyword>
<Keyword MajorTopicYN="N">outbreak</Keyword>
<Keyword MajorTopicYN="N">sleep quality</Keyword>
<Keyword MajorTopicYN="N">stress</Keyword>
</KeywordList>
</MedlineCitation>
<PubmedData><History><PubMedPubDate PubStatus="received"><Year>2020</Year>
<Month>03</Month>
<Day>02</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="accepted"><Year>2020</Year>
<Month>03</Month>
<Day>27</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="entrez"><Year>2020</Year>
<Month>4</Month>
<Day>30</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="pubmed"><Year>2020</Year>
<Month>4</Month>
<Day>30</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="medline"><Year>2020</Year>
<Month>4</Month>
<Day>30</Day>
<Hour>6</Hour>
<Minute>1</Minute>
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<affiliations><list><country><li>République populaire de Chine</li>
</country>
<region><li>Guangdong</li>
<li>Hubei</li>
</region>
<settlement><li>Jiangmen</li>
<li>Sha Tin</li>
<li>Wuhan</li>
</settlement>
<orgName><li>Université chinoise de Hong Kong</li>
</orgName>
</list>
<tree><country name="République populaire de Chine"><region name="Guangdong"><name sortKey="Zhang, Chenxi" sort="Zhang, Chenxi" uniqKey="Zhang C" first="Chenxi" last="Zhang">Chenxi Zhang</name>
</region>
<name sortKey="Cai, Zhongxiang" sort="Cai, Zhongxiang" uniqKey="Cai Z" first="Zhongxiang" last="Cai">Zhongxiang Cai</name>
<name sortKey="Du, Hui" sort="Du, Hui" uniqKey="Du H" first="Hui" last="Du">Hui Du</name>
<name sortKey="Kang, Lijun" sort="Kang, Lijun" uniqKey="Kang L" first="Lijun" last="Kang">Lijun Kang</name>
<name sortKey="Li, Ruiting" sort="Li, Ruiting" uniqKey="Li R" first="Ruiting" last="Li">Ruiting Li</name>
<name sortKey="Liu, Shuai" sort="Liu, Shuai" uniqKey="Liu S" first="Shuai" last="Liu">Shuai Liu</name>
<name sortKey="Liu, Shuai" sort="Liu, Shuai" uniqKey="Liu S" first="Shuai" last="Liu">Shuai Liu</name>
<name sortKey="Liu, Zhongchun" sort="Liu, Zhongchun" uniqKey="Liu Z" first="Zhongchun" last="Liu">Zhongchun Liu</name>
<name sortKey="Ma, Simeng" sort="Ma, Simeng" uniqKey="Ma S" first="Simeng" last="Ma">Simeng Ma</name>
<name sortKey="Su, Meilei" sort="Su, Meilei" uniqKey="Su M" first="Meilei" last="Su">Meilei Su</name>
<name sortKey="Su, Meilei" sort="Su, Meilei" uniqKey="Su M" first="Meilei" last="Su">Meilei Su</name>
<name sortKey="Wang, Ying" sort="Wang, Ying" uniqKey="Wang Y" first="Ying" last="Wang">Ying Wang</name>
<name sortKey="Yang, Lulu" sort="Yang, Lulu" uniqKey="Yang L" first="Lulu" last="Yang">Lulu Yang</name>
<name sortKey="Yang, Lulu" sort="Yang, Lulu" uniqKey="Yang L" first="Lulu" last="Yang">Lulu Yang</name>
<name sortKey="Zhang, Bin" sort="Zhang, Bin" uniqKey="Zhang B" first="Bin" last="Zhang">Bin Zhang</name>
<name sortKey="Zhang, Bin" sort="Zhang, Bin" uniqKey="Zhang B" first="Bin" last="Zhang">Bin Zhang</name>
<name sortKey="Zhang, Chenxi" sort="Zhang, Chenxi" uniqKey="Zhang C" first="Chenxi" last="Zhang">Chenxi Zhang</name>
<name sortKey="Zhang, Jihui" sort="Zhang, Jihui" uniqKey="Zhang J" first="Jihui" last="Zhang">Jihui Zhang</name>
</country>
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