Analysis
2020
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2020
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Serveur d'exploration Stress et Covid

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Survey of Insomnia and Related Social Psychological Factors Among Medical Staff Involved in the 2019 Novel Coronavirus Disease Outbreak

Identifieur interne : 000158 ( 2020/Analysis ); précédent : 000157; suivant : 000159

Survey 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 :

RBID : PMC:7171048

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, p = 0.042, 95% CI = 1.0–7.0), being a doctor (OR = 0.44, p = 0.007, 95% CI = 0.2–0.8), currently working in an isolation unit (OR = 1.71, p = 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, p = 0.001, 95% CI = 1.3–3.3), and having very strong uncertainty regarding effective disease control (OR = 3.30, p = 0.013, 95% CI = 1.3–8.5).

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.


Url:
DOI: 10.3389/fpsyt.2020.00306
PubMed: NONE
PubMed Central: 7171048


Affiliations:

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PMC:7171048

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<name sortKey="Zhang, Bin" sort="Zhang, Bin" uniqKey="Zhang B" first="Bin" last="Zhang">Bin Zhang</name>
<affiliation wicri:level="1">
<nlm:aff id="aff1">
<institution>Department of Psychiatry, Nanfang Hospital, Southern Medical University</institution>
,
<addr-line>Guangzhou</addr-line>
,
<country>China</country>
</nlm:aff>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea># see nlm:aff country strict</wicri:regionArea>
</affiliation>
<affiliation wicri:level="1">
<nlm:aff id="aff2">
<institution>Guangdong-Hong Kong-Macao Greater Bay Area Center for Brain Science and Brain-Inspired Intelligence</institution>
,
<addr-line>Guangzhou</addr-line>
,
<country>China</country>
</nlm:aff>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea># see nlm:aff country strict</wicri:regionArea>
</affiliation>
</author>
</analytic>
<series>
<title level="j">Frontiers in Psychiatry</title>
<idno type="eISSN">1664-0640</idno>
<imprint>
<date when="2020">2020</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc>
<textClass></textClass>
</profileDesc>
</teiHeader>
<front>
<div type="abstract" xml:lang="en">
<sec>
<title>Objective</title>
<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>
</sec>
<sec>
<title>Method</title>
<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>
</sec>
<sec>
<title>Result</title>
<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,
<italic>p</italic>
= 0.042, 95% CI = 1.0–7.0), being a doctor (OR = 0.44,
<italic>p</italic>
= 0.007, 95% CI = 0.2–0.8), currently working in an isolation unit (OR = 1.71,
<italic>p</italic>
= 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,
<italic>p</italic>
= 0.001, 95% CI = 1.3–3.3), and having very strong uncertainty regarding effective disease control (OR = 3.30,
<italic>p</italic>
= 0.013, 95% CI = 1.3–8.5).</p>
</sec>
<sec>
<title>Conclusion</title>
<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>
</sec>
</div>
</front>
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</TEI>
<affiliations>
<list>
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<tree>
<country name="République populaire de Chine">
<noRegion>
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</tree>
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