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<Article>
<Journal>
				<PublisherName>Arka Publishing Company</PublisherName>
				<JournalTitle>Canon Journal of Medicine</JournalTitle>
				<Issn>2676-5446</Issn>
				<Volume>4</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2023</Year>
					<Month>03</Month>
					<Day>28</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Work stressors and Mental health among nurses – A Structural Equation Modeling (SEM)</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>31</FirstPage>
			<LastPage>36</LastPage>
			<ELocationID EIdType="pii">169705</ELocationID>
			
<ELocationID EIdType="doi">10.30477/cjm.2022.376335.1055</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Sakineh</FirstName>
					<LastName>Rakhshanderou</LastName>
<Affiliation>School Of Public Health &amp;amp;amp; Safety 
Shahid Beheshti University Of Medical Sciences
Tehran - Iran</Affiliation>
<Identifier Source="ORCID">0000-0001-6373-2303</Identifier>

</Author>
<Author>
					<FirstName>Saba</FirstName>
					<LastName>Ilkhani</LastName>
<Affiliation>MPH Student, Environmental and Occupational Hazards Control Research Center, School of Public Health and safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran</Affiliation>
<Identifier Source="ORCID">0000-0003-1233-1141</Identifier>

</Author>
<Author>
					<FirstName>Mohtasham</FirstName>
					<LastName>Ghaffari</LastName>
<Affiliation>Professor of Health Education &amp; Health Promotion, Environmental and Occupational Hazards Control Research Center, School of Public Health and safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran</Affiliation>
<Identifier Source="ORCID">0000-0003-1756-5297</Identifier>

</Author>
<Author>
					<FirstName>Hossein</FirstName>
					<LastName>Hatami</LastName>
<Affiliation>School of Public Health, Shahid Beheshti University of Medical Sciences, Tehran, Iran</Affiliation>
<Identifier Source="ORCID">0000-0002-1448-3598</Identifier>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2022</Year>
					<Month>12</Month>
					<Day>11</Day>
				</PubDate>
			</History>
		<Abstract>&lt;strong&gt;Introduction: &lt;/strong&gt;Nursing is one of the most stressful professions worldwide. Job stressors can have a substantial impact on the mental health of nurses. This study aimed to assess how much workplace stressors can predict each component of this population&#039;s mmental health&lt;br /&gt;&lt;strong&gt;Methods:&lt;/strong&gt; 419 nurses from eight tertiary hospitals in Tehran were enrolled for this observational survey, and data was collected from a three-part questionnaire including the Depression, Anxiety, and Stress Scale - 21 Items (DASS-21, Extended Nursing Stress Scale (ENSS), and demographic questions. Multivariate regression and factor analysis were performed to build a Structural equation modeling between variables&lt;br /&gt;&lt;strong&gt;Results:&lt;/strong&gt; The Correlation between Stress, anxiety, depression, and work stressor were significant (p-value=0.01). Based on the SEM model, for each component of DASS (Stress, anxiety, depression), seven items in the questionnaire were significant and internally consistent(p-value:0.05). In the ENSS questionnaire, all nine subscales significantly predicted the total nursing stress score.&lt;br /&gt;&lt;strong&gt;Conclusions:&lt;/strong&gt; Females, single, and nurses with more than six years of experience scored higher on the work stress scale. The workload is the most significant stressor in depression and, as a result, poor mental health.</Abstract>
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			<Object Type="keyword">
			<Param Name="value">Occupational stressors</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">mental health</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Nurses</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">structural equation modeling</Param>
			</Object>
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<ArchiveCopySource DocType="pdf">https://www.canonjm.com/article_169705_313701b540df992682dccc8f70dc12a0.pdf</ArchiveCopySource>
</Article>
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