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<?covid-19-tdm?>
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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Public Health</journal-id>
<journal-title>Frontiers in Public Health</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Public Health</abbrev-journal-title>
<issn pub-type="epub">2296-2565</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpubh.2023.1221501</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Public Health</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>The mediation effect analysis of nurse&#x2019;s mental health status and burnout under COVID-19 epidemic</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>Fuzhi</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2310025/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhao</surname>
<given-names>Yanyan</given-names>
</name>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chen</surname>
<given-names>Yangjia</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Tu</surname>
<given-names>Zhuote</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="c001" ref-type="corresp"><sup>&#x002A;</sup></xref>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Preventive Medicine, School of Health, Quanzhou Medical College</institution>, <addr-line>Quanzhou</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Nursing, Quanzhou First Hospital</institution>, <addr-line>Quanzhou</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0001">
<p>Edited by: Murat Yildirim, A&#x011F;r&#x0131; &#x0130;brahim &#x00C7;e&#x00E7;en University, T&#x00FC;rkiye</p>
</fn>
<fn fn-type="edited-by" id="fn0002">
<p>Reviewed by: Daniel Joseph Berdida, University of Santo Tomas, Philippines; Marcin Moro&#x0144;, University of Silesia in Katowice, Poland</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Zhuote Tu, <email>2005016@qzmc.edu.cn</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>17</day>
<month>10</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>11</volume>
<elocation-id>1221501</elocation-id>
<history>
<date date-type="received">
<day>12</day>
<month>05</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>26</day>
<month>09</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2023 Liu, Zhao, Chen and Tu.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Liu, Zhao, Chen and Tu</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec id="sec1">
<title>Aim</title>
<p>The objective of this study is to investigate the mental health status of nurses during the outbreak of novel coronavirus pneumonia. Additionally, we aim to analyze the relationship between anxiety, depression, and burnout among nurses. The findings will provide a scientific basis for promoting the psychological health of nurses.</p>
</sec>
<sec id="sec2">
<title>Methods</title>
<p>Using a cross-sectional study, nurses in Quanzhou in May 2020 completed a general information questionnaire, the 7-item Generalized Anxiety Disorder Questionnaire (GAD-7), Patient Health Questionnaire-9 (PHQ-9), and the Maslach Burnout Inventory (MBI). Data analysis was conducted using structural equation model.</p>
</sec>
<sec id="sec3">
<title>Results</title>
<p>372 questionnaires were returned, with a response rate of 92.5%. The prevalence of anxiety and depression among the participants were 45.2 and 41.4%, respectively. The prevalence of severe burnout among nurses was found to be 7.3%. There was a correlation between nurses&#x2019; anxiety, depression, and job burnout. The correlation coefficients between anxiety and job burnout, depression and job burnout, and anxiety and depression were found to be statistically significant (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.001). Depression plays a mediating role between anxiety and jod burnout (0.584/1.413, 41.3%).</p>
</sec>
<sec id="sec4">
<title>Conclusion</title>
<p>The COVID-19 epidemic has resulted in moderate to high levels of job burnout among nurses. In this context, depression has been found to play a mediating role in the relationship between anxiety and job burnout. It is imperative for hospital administrators to prioritize the mental health of nurses and the provide necessary support to ensure their well-being.</p>
</sec>
</abstract>
<kwd-group>
<kwd>nurse</kwd>
<kwd>anxiety</kwd>
<kwd>depression</kwd>
<kwd>burnout</kwd>
<kwd>occupational health</kwd>
<kwd>structural equation model</kwd>
</kwd-group>
<counts>
<fig-count count="1"/>
<table-count count="8"/>
<equation-count count="0"/>
<ref-count count="76"/>
<page-count count="11"/>
<word-count count="7626"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Occupational Health and Safety</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec5">
<label>1.</label>
<title>Introduction</title>
<p>Nurses are increasingly being acknowledged for their significant contributions in the areas of primary care, public health emergencies, chronic disease management, surveillance, and the identification of new and emerging infectious diseases (<xref ref-type="bibr" rid="ref1">1</xref>, <xref ref-type="bibr" rid="ref2">2</xref>). Four distinct roles for nurses in primary care and public health collaboration have been identified: relationship builder, outreach professional, program facilitator, and care coordinator (<xref ref-type="bibr" rid="ref3">3</xref>). The prolonged engagement in these medical tasks will have an impact on the physical and mental health of nurses.</p>
<p>Nurses are a significant group within the medical field, comprising the largest proportion of personnel in various medical institutions at all levels. Research conducted in the past has demonstrated a correlation between nurse burnout and negative mental health outcomes, specifically depression and anxiety (<xref ref-type="bibr" rid="ref4">4</xref>, <xref ref-type="bibr" rid="ref5">5</xref>). Numerous studies have demonstrated that public health emergencies, including infectious disease outbreaks and natural disasters, can significantly impact the physical and mental well-being of nurses, leading to job burnout (<xref ref-type="bibr" rid="ref6">6</xref>, <xref ref-type="bibr" rid="ref7">7</xref>). In addition to their daily workload, nurses are also at the forefront of preventing and controlling the spread of the new coronavirus in a unique work environment. As a result, their workload has significantly increased. The scale and duration of the COVID-19 pandemic is larger and longer compared to previous infectious disease epidemics. As a result, the impact on the mental health of nurses has been more significant and widespread (<xref ref-type="bibr" rid="ref8">8</xref>, <xref ref-type="bibr" rid="ref9">9</xref>). Prolonged exposure to high levels of stress can cause nurses to experience emotional, attitudinal, and behavioral exhaustion, ultimately resulting in job burnout.</p>
<p>The concept of burnout was first introduced by Freudenberger in 1974 (<xref ref-type="bibr" rid="ref10">10</xref>), who believed that long-term exposure to interpersonal stressors at work caused a state of physical and mental exhaustion related to nursing activities. Later, Maslach identified the psychological syndrome caused by long-term emotional and interpersonal stressors at work as job burnout, which is characterized by emotional exhaustion, depersonalization, and decreased personal accomplishment (<xref ref-type="bibr" rid="ref11">11</xref>). This study employed the aforementioned concept to establish a comprehensive definition of burnout within the nursing profession.</p>
<p>This study aims to investigate the current state of job burnout among nurses in Quanzhou City during the COVID-19 epidemic, as well as the factors that contribute to it. The study hypothesizes that there is a close relationship between anxiety, depression and job burnout, and utilizes a structural equation model to explore the relationship between the three variables. The findings of this study will provide valuable data to help alleviate nurses&#x2019; job burnout, maintain their mental health, and increase their motivation to work.</p>
</sec>
<sec id="sec6">
<label>2.</label>
<title>Theoretical background</title>
<p>There is a body of research that has focused extensively on COVID-19 pandemic affected the mental health of nurses. Mental problems related to the health emergency, such as stress, anxiety, depression, traumatic distress response, post-traumatic stress disorder (PTSD), and sleep disorders are more likely to affect medical and nursing staff (<xref ref-type="bibr" rid="ref12 ref13 ref14 ref15">12&#x2013;15</xref>). The first paper carried on the mental health of 994 healthcare workers in Wuhan, and the results indicated that 36.9% had subthreshold mental health disturbances, 34.4% had mild disturbances, 22.4% had moderate disturbances and 6.2% had severe disturbance (<xref ref-type="bibr" rid="ref16">16</xref>). A systematic review and meta-analysis, which included in the analysis with a combined total of 33,062 participants from thirteen studies, showed that anxiety with a pooled prevalence of 23.2%, depression with a prevalence rate of 22.8% and insomnia with a prevalence rate of 38.9% (<xref ref-type="bibr" rid="ref17">17</xref>). Another literature was reviewed for mental health problems of healthcare workers during the COVID-19 pandemic. The findings reported that pooled prevalence of mental health problems for post-traumatic stress disorder, anxiety, depression, and distress was 49, 40, 37, and 37%, respectively (<xref ref-type="bibr" rid="ref18">18</xref>).</p>
<p>Amidst the COVID-19 pandemic, nurses find themselves susceptible to experiencing anxiety and depression due to the numerous psychological stressors they encounter. Consequently, managing and coping with these mental health challenges has become a prevalent issue worldwide (<xref ref-type="bibr" rid="ref19">19</xref>). The current literature on COVID-19 supports the idea that the increased workload during a pandemic can lead to higher levels of anxiety and depression among individuals, which in turn poses a significant threat to the overall well-being of nurses (<xref ref-type="bibr" rid="ref20">20</xref>, <xref ref-type="bibr" rid="ref21">21</xref>). Anxiety and depression often occur together (<xref ref-type="bibr" rid="ref22">22</xref>, <xref ref-type="bibr" rid="ref23">23</xref>), although the exact relationship between these two conditions is still uncertain (<xref ref-type="bibr" rid="ref24">24</xref>). The temporal relationship between anxiety and depression is a topic that has been widely discussed and debated among researchers. Some researchers posit that anxiety serves as a precursor to depression, implying a unidirectional association (<xref ref-type="bibr" rid="ref25">25</xref>, <xref ref-type="bibr" rid="ref26">26</xref>). On the contrary, there are proponents who suggest a bidirectional association between the two aforementioned conditions (<xref ref-type="bibr" rid="ref27">27</xref>, <xref ref-type="bibr" rid="ref28">28</xref>). Nevertheless, it has been observed that symptoms of anxiety have a stronger predictive value for later depressive symptoms compared to the reverse relationship.</p>
<p>Burnout is often occurred in the nurse, which has negatively impacted the quality of care, patient safety, and the functioning of staff workers in the health care industry (<xref ref-type="bibr" rid="ref29">29</xref>). Substantial systematic reviews and meta-analyses have already shown that the prevalence of burnout is different between regions and times (<xref ref-type="bibr" rid="ref30">30</xref>, <xref ref-type="bibr" rid="ref31">31</xref>). Mental health is one of primary health outcomes of burnout, and it refers to the nurse&#x2019;s mental health as an individual, the high rates of trauma, depression, stress, and anxiety seen in many nurses, and how poor mental health often leads to burnout and <italic>vice-versa</italic> (<xref ref-type="bibr" rid="ref32">32</xref>). Due to, the pandemic of COVID-19 exacerbating the complexity of the work environment, the problem of burnout among nurses has become more pronounced. Anxiety and depression are the most common psychological problems that can easily lead to job burnout, as evidenced by many literatures (<xref ref-type="bibr" rid="ref5">5</xref>, <xref ref-type="bibr" rid="ref33">33</xref>, <xref ref-type="bibr" rid="ref34">34</xref>). In addition, burnout is affected by many other factors such as psychological resilience (<xref ref-type="bibr" rid="ref35">35</xref>, <xref ref-type="bibr" rid="ref36">36</xref>), fear (<xref ref-type="bibr" rid="ref37">37</xref>, <xref ref-type="bibr" rid="ref38">38</xref>), and psychological inflexibility (<xref ref-type="bibr" rid="ref39">39</xref>).</p>
<p>Burnout, depression, and anxiety are postulated to exhibit interrelationships. We aimed to test the mediating role of depression in the relationship between anxiety and burnout. Based on the above literature review, we propose the following model. From this model, we propose three main hypotheses: (see <xref rid="fig1" ref-type="fig">Figure 1</xref>)</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Structural equation model for nurse burnout, anxiety, and depression. EE indicate emotional exhaustion; DP indicate depersonalization and DPA indicate decreased personal accomplishment.</p>
</caption>
<graphic xlink:href="fpubh-11-1221501-g001.tif"/>
</fig>
<disp-quote>
<p><italic>H1</italic>: Anxiety has a positive and significant impact on job burnout.</p>
</disp-quote>
<disp-quote>
<p><italic>H2</italic>: Depression has a positive and significant impact on job burnout.</p>
</disp-quote>
<disp-quote>
<p><italic>H3</italic>: Depression mediate the relationship between anxiety and job burnout.</p>
</disp-quote>
</sec>
<sec sec-type="materials|methods" id="sec7">
<label>3.</label>
<title>Materials and methods</title>
<sec id="sec8">
<label>3.1.</label>
<title>Participants</title>
<p>The sample for this study included 372 nurses (96.5% females) whose ages ranged between 20 and 59&#x2009;years, with a mean age of 30.8&#x2009;&#x00B1;&#x2009;6.3&#x2009;years. 64.8% of participants were married and 190 (51.1%) have a junior college degree. The majority of nurses (76.9%) have less than 10&#x2009;years of work experience (<xref rid="tab1" ref-type="table">Table 1</xref>).</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Characteristics of the sample.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Variables</th>
<th align="left" valign="top">Classification</th>
<th align="center" valign="top"><italic>N</italic></th>
<th align="center" valign="top">%</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="2">Sex</td>
<td align="left" valign="top">Female</td>
<td align="center" valign="top">359</td>
<td align="center" valign="top">96.5</td>
</tr>
<tr>
<td align="left" valign="top">Male</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">3.5</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Marriage</td>
<td align="left" valign="top">Married</td>
<td align="center" valign="top">241</td>
<td align="center" valign="top">64.8</td>
</tr>
<tr>
<td align="left" valign="top">Others</td>
<td align="center" valign="top">131</td>
<td align="center" valign="top">35.2</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">Education</td>
<td align="left" valign="top">High school</td>
<td align="center" valign="middle">11</td>
<td align="center" valign="middle">3.0</td>
</tr>
<tr>
<td align="left" valign="top">College</td>
<td align="center" valign="middle">190</td>
<td align="center" valign="middle">51.1</td>
</tr>
<tr>
<td align="left" valign="top">Bachelor or above degree</td>
<td align="center" valign="middle">171</td>
<td align="center" valign="middle">45.9</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="4">Work experience</td>
<td align="left" valign="top">&#xFE64;5&#x2009;years</td>
<td align="center" valign="middle">138</td>
<td align="center" valign="middle">37.1</td>
</tr>
<tr>
<td align="left" valign="top">5&#x2013;10&#x2009;years</td>
<td align="center" valign="middle">148</td>
<td align="center" valign="middle">39.8</td>
</tr>
<tr>
<td align="left" valign="top">11&#x2013;20&#x2009;years</td>
<td align="center" valign="middle">56</td>
<td align="center" valign="middle">15.0</td>
</tr>
<tr>
<td align="left" valign="top">&#xFE65;20&#x2009;years</td>
<td align="center" valign="middle">30</td>
<td align="center" valign="middle">8.1</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec9">
<label>3.2.</label>
<title>Measures</title>
<sec id="sec10">
<label>3.2.1.</label>
<title>General information questionnaire</title>
<p>A self-designed general situation questionnaire has been created based on literature research and expert opinions The questionnaire includes basic demographic information such as age, gender, and marital status.</p>
</sec>
<sec id="sec11">
<label>3.2.2.</label>
<title>The 7-item generalized anxiety disorder questionnaire (GAD-7)</title>
<p>There are 9 items in the scale, and 4 grades are used for scoring (<xref ref-type="bibr" rid="ref40">40</xref>). The scoring rules are as follows: 0&#x2013;4 is normal, 5&#x2013;9 is mild anxiety, 10&#x2013;14 is moderate anxiety, and 15&#x2013;21 is severe anxiety (<xref ref-type="bibr" rid="ref41">41</xref>). In this study, Cronbach&#x2019;s &#x03B1; coefficient&#x2009;=&#x2009;0.943; KMO&#x2009;=&#x2009;0.926, Bartlett sphericity test <italic>p</italic>&#x2009;&#x003C;&#x2009;0.01.</p>
</sec>
<sec id="sec12">
<label>3.2.3.</label>
<title>Patient health questionnaire-9 (PHQ-9)</title>
<p>There are 9 items in the scale, and 4 grades are used for scoring (<xref ref-type="bibr" rid="ref42">42</xref>). The scoring rules are as follows: 0&#x2013;4 means no depression, 5&#x2013;9 means mild depression, 10&#x2013;14 means moderate depression, and 15&#x2013;19 means moderate depression. Major depressive disorder, 20&#x2013;27 may have major depressive disorder (<xref ref-type="bibr" rid="ref43">43</xref>). In this study, Cronbach&#x2019;s &#x03B1; coefficient&#x2009;=&#x2009;0.922; KMO&#x2009;=&#x2009;0.902, Bartlett sphericity test <italic>p</italic>&#x2009;&#x003C;&#x2009;0.01.</p>
</sec>
<sec id="sec13">
<label>3.2.4.</label>
<title>Maslach burnout inventory (MBI)</title>
<p>This test includes three aspects of job burnout: the scale contains 3 dimensions, 22 items, and uses Likert 7-level scoring, scoring rules: 9 items of emotional exhaustion (EE), indicating the emotional response caused by work pressure, with a total score of 0&#x2013;54. Scores &#x2264;19, 20&#x2013;25 and&#x2009;&#x2265;&#x2009;26 represent low, medium and high level of EE respectively; 5 items of depersonalization (DP) indicate the attitudes and feelings of clients caused by work pressure, with a total score of 0&#x2013;30 and scores &#x2264;6, 7&#x2009;~&#x2009;8 and&#x2009;&#x2265;&#x2009;9 represent low, medium, and high level of DP respectively; 8 items with decreased personal accomplishment (DPA) indicate negative self-evaluation, accompanied by a decline in work ability experience and achievement experience (<xref ref-type="bibr" rid="ref11">11</xref>). The total score is 0&#x2009;~&#x2009;48 points, and the score is &#x2264;34, 35&#x2009;~&#x2009;38, and&#x2009;&#x2265;&#x2009;39 represent high, medium, and low level of DPA, respectively, and the scores are reversed. We operationalized high-level burnout as the presence of elevated levels in all three dimensions. Medium-level burnout was defined as elevated levels in two dimensions, while low-level burnout was characterized by elevated levels in only one dimension. The absence of burnout was indicated when all levels were low (<xref ref-type="bibr" rid="ref44 ref45 ref46">44&#x2013;46</xref>). In this study, Cronbach&#x2019;s &#x03B1; coefficient&#x2009;=&#x2009;0.906, KMO&#x2009;=&#x2009;0.926, Bartlett sphericity test <italic>p</italic>&#x2009;&#x003C;&#x2009;0.01.</p>
</sec>
</sec>
<sec id="sec14">
<label>3.3.</label>
<title>Procedures</title>
<p>A quantitative research design using a self-reported questionnaire was used to collect data from a tertiary designated hospital in Quanzhou, Fujian Province who were treating patients with new coronary pneumonia. The hospital has a total of 1,621 nurses, who are assigned to various wards, with a distribution of 67 wards. To gather data from nurses, the quota sampling method was employed, wherein 6 participants were randomly selected from each ward, resulting in a total sample size of 402.</p>
<p>The inclusion criteria were: (1) working for at least one year, (2) providing informed consent to participate in the study, and (3) working during the COVID-19 epidemic. The exclusion criteria were: (1) receiving psychological counseling or treatment in the past year, and (2) having a prior history of mental illness.</p>
<p>We designed the online questionnaire using the Wenjuanxing platform and sent the survey link to nurses <italic>via</italic> WeChat, QQ or email. We completed data collection from May 1st to 30th, 2020. The entire questionnaire took at least 5&#x2009;min to complete, and samples with response times below this standard were removed. At the beginning of the questionnaire, there is an informed consent form, participants need to read this section and click on consent. We are also making a statement that the data from this survey will only be used for scientific research and will not disclose the personal information of the participants. This study was approved by the ethical committee of Quanzhou First Hospital (NO.Quan Yi lun 2,020,181).</p>
</sec>
<sec id="sec15">
<label>3.4.</label>
<title>Data analysis</title>
<p>Data cleaning, normality test and correlation analysis were performed using SPSS Version 26.0. A structural equation model was established using AMOS24.0 software to fit the relationship model between nurses&#x2019; anxiety, depression and job burnout. Following the suggestion of Gerbing and Anderson (<xref ref-type="bibr" rid="ref47">47</xref>), we estimate the measurement model separately for each construct before constructing the model. In this study, the model was estimated by the maximum likelihood estimation, and the model was corrected with square multiple correlation (SMC) (<xref ref-type="bibr" rid="ref48">48</xref>) and the modification index (MI). Since all aspects are reflective indicators, if the requirements of SMC and MI are not met during model modification, we will delete the question (<xref ref-type="bibr" rid="ref49">49</xref>, <xref ref-type="bibr" rid="ref50">50</xref>). We has performed the Sobel test (<xref ref-type="bibr" rid="ref51">51</xref>) and bootstrap method (<xref ref-type="bibr" rid="ref52">52</xref>) for assessing the mediating effects. Five indices were employed to evaluate the adequacy of fit for both the measurement and structural models: Normed Chi-square (&#x03C7;2/df&#x2009;&#x003C;&#x2009;3) (<xref ref-type="bibr" rid="ref53">53</xref>, <xref ref-type="bibr" rid="ref54">54</xref>), Goodness of Fit Index (GFI&#x2009;&#x003E;&#x2009;0.90), Adjusted-Goodness of Fit Index (AGFI&#x003E;0.90), Comparative Fit Index (CFI&#x2009;&#x003E;&#x2009;0.90) (<xref ref-type="bibr" rid="ref55">55</xref>), Root Mean Square Error of Approximation (RMSEA&#x003C;0.08) (<xref ref-type="bibr" rid="ref56">56</xref>).</p>
</sec>
</sec>
<sec sec-type="results" id="sec16">
<label>4.</label>
<title>Results</title>
<sec id="sec17">
<label>4.1.</label>
<title>Anxiety, depression and burnout among nurses based on demographic information</title>
<p>Burnout was statistically different in education and work experience, but the rest were not different (<xref rid="tab2" ref-type="table">Table 2</xref>).</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Anxiety, depression and burnout among nurses based on demographic information.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Variables</th>
<th align="left" valign="top">Classification</th>
<th align="center" valign="top"><italic>N</italic></th>
<th align="center" valign="top">Anxiety</th>
<th align="center" valign="top">Depression</th>
<th align="center" valign="top">Burnout</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="4">Sex</td>
<td align="left" valign="top">Female</td>
<td align="center" valign="top">359</td>
<td align="center" valign="top">4.12&#x2009;&#x00B1;&#x2009;4.38</td>
<td align="center" valign="top">5.15&#x2009;&#x00B1;&#x2009;5.68</td>
<td align="center" valign="top">58.50&#x2009;&#x00B1;&#x2009;17.98</td>
</tr>
<tr>
<td align="left" valign="top">Male</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">3.62&#x2009;&#x00B1;&#x2009;3.33</td>
<td align="center" valign="top">3.62&#x2009;&#x00B1;&#x2009;3.22</td>
<td align="center" valign="top">56.62&#x2009;&#x00B1;&#x2009;15.25</td>
</tr>
<tr>
<td align="left" valign="top"><italic>t</italic></td>
<td/>
<td align="center" valign="top">&#x2212;0.411</td>
<td align="center" valign="top">&#x2212;0.966</td>
<td align="center" valign="top">&#x2212;0.372</td>
</tr>
<tr>
<td align="left" valign="top"><italic>p</italic></td>
<td/>
<td align="center" valign="top">0.681</td>
<td align="center" valign="top">0.335</td>
<td align="center" valign="top">0.710</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="4">Marriage</td>
<td align="left" valign="top">Married</td>
<td align="center" valign="top">241</td>
<td align="center" valign="top">4.31&#x2009;&#x00B1;&#x2009;4.49</td>
<td align="center" valign="top">5.20&#x2009;&#x00B1;&#x2009;5.82</td>
<td align="center" valign="top">59.68&#x2009;&#x00B1;&#x2009;18.59</td>
</tr>
<tr>
<td align="left" valign="top">Others</td>
<td align="center" valign="top">131</td>
<td align="center" valign="top">3.73&#x2009;&#x00B1;&#x2009;4.05</td>
<td align="center" valign="top">4.91&#x2009;&#x00B1;&#x2009;5.24</td>
<td align="center" valign="top">56.14&#x2009;&#x00B1;&#x2009;16.30</td>
</tr>
<tr>
<td align="left" valign="top"><italic>t</italic></td>
<td/>
<td align="center" valign="top">&#x2212;1.235</td>
<td align="center" valign="top">&#x2212;0.470</td>
<td align="center" valign="top">&#x2212;1.830</td>
</tr>
<tr>
<td align="left" valign="top"><italic>p</italic></td>
<td/>
<td align="center" valign="top">0.218</td>
<td align="center" valign="top">0.639</td>
<td align="center" valign="top">0.068</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="5">Education</td>
<td align="left" valign="top">High school</td>
<td align="center" valign="middle">11</td>
<td align="center" valign="middle">5.36&#x2009;&#x00B1;&#x2009;5.278</td>
<td align="center" valign="middle">8.64&#x2009;&#x00B1;&#x2009;7.032</td>
<td align="center" valign="middle">59.10&#x2009;&#x00B1;&#x2009;16.69</td>
</tr>
<tr>
<td align="left" valign="top">College</td>
<td align="center" valign="middle">190</td>
<td align="center" valign="middle">3.73&#x2009;&#x00B1;&#x2009;4.441</td>
<td align="center" valign="middle">4.71&#x2009;&#x00B1;&#x2009;5.671</td>
<td align="center" valign="middle">55.72&#x2009;&#x00B1;&#x2009;18.67</td>
</tr>
<tr>
<td align="left" valign="top">Bachelor or above degree</td>
<td align="center" valign="middle">171</td>
<td align="center" valign="middle">4.43&#x2009;&#x00B1;&#x2009;4.152</td>
<td align="center" valign="middle">5.3&#x2009;&#x00B1;&#x2009;5.404</td>
<td align="center" valign="middle">61.40&#x2009;&#x00B1;&#x2009;16.62</td>
</tr>
<tr>
<td align="left" valign="top"><italic>F</italic></td>
<td/>
<td align="center" valign="top">1.657</td>
<td align="center" valign="top">2.781</td>
<td align="center" valign="top">4.654</td>
</tr>
<tr>
<td align="left" valign="top"><italic>p</italic></td>
<td/>
<td align="center" valign="top">0.192</td>
<td align="center" valign="top">0.063</td>
<td align="center" valign="top">0.010<sup>&#x002A;</sup></td>
</tr>
<tr>
<td align="left" valign="top" rowspan="6">Work experience</td>
<td align="left" valign="top">&#xFE64;5&#x2009;years</td>
<td align="center" valign="middle">138</td>
<td align="center" valign="middle">3.62&#x2009;&#x00B1;&#x2009;3.82</td>
<td align="center" valign="middle">4.49&#x2009;&#x00B1;&#x2009;5.02</td>
<td align="center" valign="middle">55.22&#x2009;&#x00B1;&#x2009;16.60</td>
</tr>
<tr>
<td align="left" valign="top">5&#x2013;10&#x2009;years</td>
<td align="center" valign="middle">148</td>
<td align="center" valign="middle">4.37&#x2009;&#x00B1;&#x2009;4.796</td>
<td align="center" valign="middle">5.68&#x2009;&#x00B1;&#x2009;5.952</td>
<td align="center" valign="middle">59.18&#x2009;&#x00B1;&#x2009;19.61</td>
</tr>
<tr>
<td align="left" valign="top">11&#x2013;20&#x2009;years</td>
<td align="center" valign="middle">56</td>
<td align="center" valign="middle">4.07&#x2009;&#x00B1;&#x2009;3.726</td>
<td align="center" valign="middle">4.61&#x2009;&#x00B1;&#x2009;4.979</td>
<td align="center" valign="middle">60.34&#x2009;&#x00B1;&#x2009;15.38</td>
</tr>
<tr>
<td align="left" valign="top">&#xFE65;20&#x2009;years</td>
<td align="center" valign="middle">30</td>
<td align="center" valign="middle">5.07&#x2009;&#x00B1;&#x2009;5.199</td>
<td align="center" valign="middle">5.9&#x2009;&#x00B1;&#x2009;7.317</td>
<td align="center" valign="middle">65.97&#x2009;&#x00B1;&#x2009;16.40</td>
</tr>
<tr>
<td align="left" valign="top"><italic>F</italic></td>
<td/>
<td align="center" valign="middle">1.263</td>
<td align="center" valign="middle">1.406</td>
<td align="center" valign="middle">3.639</td>
</tr>
<tr>
<td align="left" valign="top"><italic>p</italic></td>
<td/>
<td align="center" valign="top">0.287</td>
<td align="center" valign="top">0.241</td>
<td align="center" valign="top">0.013<sup>&#x002A;</sup></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>&#x002A;Indicate <italic>p</italic> less than 0.05.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec18">
<label>4.2.</label>
<title>Anxiety, depression and burnout among nurses</title>
<p>The anxiety score was (4.10&#x2009;&#x00B1;&#x2009;4.34), and the depression score was (5.09&#x2009;&#x00B1;&#x2009;5.62). The prevalence of anxiety and depression among the participants were 45.2 and 41.4%, respectively.</p>
<p>The research conducted on the phenomenon of job burnout among nurses yielded noteworthy findings. Specifically, the average score for emotional exhaustion was determined to be 22.12, with a significant proportion of participants (59.4%) displaying medium to high levels of this particular dimension. Similarly, the average score for depersonalization was found to be 9.62, and a substantial majority of nurses (70.4%) exhibited moderate to high levels of this aspect. Additionally, the average score for decreased personal accomplishment was calculated to be 26.70, with 64.0% of participants falling within the medium to high range for this dimension. The prevalence of severe burnout among nurses was found to be 7.3% (<xref rid="tab3" ref-type="table">Table 3</xref>).</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Classification and scores of nurse burnout.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Dimension</th>
<th align="center" valign="top">Low (<italic>n</italic>, %)</th>
<th align="center" valign="top">Moderate (<italic>n</italic>, %)</th>
<th align="center" valign="top">High (<italic>n</italic>, %)</th>
<th align="center" valign="top">x&#x0305;&#x00B1;s</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Emotional exhaustion</td>
<td align="center" valign="top">151 (40.6)</td>
<td align="center" valign="top">122 (32.8)</td>
<td align="center" valign="top">99 (26.6)</td>
<td align="center" valign="top">22.12&#x2009;&#x00B1;&#x2009;9.40</td>
</tr>
<tr>
<td align="left" valign="top">Depersonalization</td>
<td align="center" valign="top">110 (29.6)</td>
<td align="center" valign="top">102 (27.4)</td>
<td align="center" valign="top">160 (43.0)</td>
<td align="center" valign="top">9.62&#x2009;&#x00B1;&#x2009;4.35</td>
</tr>
<tr>
<td align="left" valign="top">Decreased personal accomplishment</td>
<td align="center" valign="top">134 (36.0)</td>
<td align="center" valign="top">83 (22.3)</td>
<td align="center" valign="top">155 (41.7)</td>
<td align="center" valign="top">26.70&#x2009;&#x00B1;&#x2009;9.70</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec19">
<label>4.3.</label>
<title>Analysis of anxiety, depression and burnout among nurses</title>
<p>The pearson correlation was used to analyze the relationship between anxiety, depression and burnout among nurses, which showed a positive correlation between anxiety and depression on burnout (<xref rid="tab4" ref-type="table">Table 4</xref>).</p>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption>
<p>Analysis of anxiety, depression and burnout among nurses.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="top">Anxiety</th>
<th align="center" valign="top">Depression</th>
<th align="center" valign="top">Burnout</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Anxiety</td>
<td align="center" valign="middle">1.000</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Depression</td>
<td align="center" valign="middle">0.851<sup>&#x002A;</sup></td>
<td align="center" valign="middle">1.000</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Burnout</td>
<td align="center" valign="middle">0.639<sup>&#x002A;</sup></td>
<td align="center" valign="middle">0.616<sup>&#x002A;</sup></td>
<td align="center" valign="middle">1.000</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><sup>&#x002A;</sup>Indicate <italic>p</italic> less than 0.001.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec20">
<label>4.4.</label>
<title>Structural equation model of burnout, anxiety, and depression among nurses</title>
<sec id="sec21">
<label>4.4.1.</label>
<title>Selection of the model metrics</title>
<p>To assess whether the measurement indicators accurately reflected the latent variables, a Confirmatory Factor Analysis (CFA) was conducted on all constructs.</p>
<p>Out of the original 7 items in the anxiety questionnaire, only 4 items had standardized factor loadings above 0.7 (but not exceeding 0.95) and significant positive residuals after CFA. These 4 questions were deemed reliable with a Composite Reliability (CR) of 0.899 (exceeding the standard of 0.7) (<xref ref-type="bibr" rid="ref57">57</xref>) and an Average Variance Extracted (AVE) of 0.690 (exceeding the standard of 0.5) (<xref ref-type="bibr" rid="ref58">58</xref>). Additionally, the fitting index fell within the acceptable range, thus confirming the retention of these 4 questions.</p>
<p>Out of the 9 items in the depression questionnaire, only 4 had standardized factor loadings exceeding 0.7 but not exceeding 0.95, and all residuals were positive and significant after CFA. The CR was 0.892, surpassing the standard of 0.7, and the AVE was 0.677, surpassing the standard of 0.5. The fitting index was within the acceptable range, therefore, these 4 questions were retained.</p>
<p>In this study, job burnout was analyzed as a second-order aspect and deconstructed into three dimensions: emotional exhaustion, depersonalization, and decreased personal accomplishment. To ensure the validity of these dimensions, a first-order three-factor complete correlation model and a second-order factor model were analyzed. This study utilized the first-order three-factor complete correlation model to analyze the data. The results showed that the first-order factors had moderate to high correlations. Specifically, emotional exhaustion and job apathy had a correlation coefficient of 0.66, depersonalization and decreased personal accomplishment had a correlation coefficient of 0.52, and emotional exhaustion and decreased personal accomplishment had a correlation coefficient of 0.63. Additionally, the target coefficient was 100%, indicating that the second-order job burnout in this study met the requirements of the theoretical model. The residuals of the standardized factor loadings for the three deconstructed constructs were all found to be positive and significant after the second-order CFA. Additionally, the CR exceeded the standard of 0.7, the AVE exceeded the standard of 0.5, and the fitting index fell within the acceptable range. As a result, the second-order three-facet model was retained for further analysis (<xref rid="tab5" ref-type="table">Tables 5</xref>, <xref rid="tab6" ref-type="table">6</xref>).</p>
<table-wrap position="float" id="tab5">
<label>Table 5</label>
<caption>
<p>The model estimation parameters and fit indices for different surfaces.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Surfaces</th>
<th align="center" valign="top">Indices</th>
<th align="center" valign="top"><italic>Unstd.</italic></th>
<th align="center" valign="top"><italic>S.E.</italic></th>
<th align="center" valign="top"><italic>t</italic></th>
<th align="center" valign="top"><italic>p</italic></th>
<th align="center" valign="top"><italic>std.</italic></th>
<th align="center" valign="top"><italic>SMC</italic></th>
<th align="center" valign="top"><italic>CR</italic></th>
<th align="center" valign="top"><italic>AVE</italic></th>
<th align="center" valign="top"><italic>&#x03C7;2</italic></th>
<th align="center" valign="top"><italic>df</italic></th>
<th align="center" valign="top"><italic>&#x03C7;2/df</italic></th>
<th align="center" valign="top"><italic>GFI</italic></th>
<th align="center" valign="top"><italic>AGFI</italic></th>
<th align="center" valign="top"><italic>RMSEA</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="4">Anxiety</td>
<td align="center" valign="middle">A1</td>
<td align="center" valign="middle">1.000</td>
<td/>
<td/>
<td/>
<td align="center" valign="middle">0.887</td>
<td align="center" valign="middle">0.787</td>
<td align="center" valign="middle">0.899</td>
<td align="center" valign="middle">0.690</td>
<td align="center" valign="middle">0.817</td>
<td align="center" valign="middle">2</td>
<td align="center" valign="middle">0.409</td>
<td align="center" valign="middle">0.999</td>
<td align="center" valign="middle">0.994</td>
<td align="center" valign="middle">0.000</td>
</tr>
<tr>
<td align="center" valign="middle">A2</td>
<td align="center" valign="middle">0.894</td>
<td align="center" valign="middle">0.047</td>
<td align="center" valign="middle">19.146</td>
<td align="center" valign="middle"><sup>&#x002A;</sup></td>
<td align="center" valign="middle">0.806</td>
<td align="center" valign="middle">0.650</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="center" valign="middle">A3</td>
<td align="center" valign="middle">0.925</td>
<td align="center" valign="middle">0.048</td>
<td align="center" valign="middle">19.120</td>
<td align="center" valign="middle"><sup>&#x002A;</sup></td>
<td align="center" valign="middle">0.805</td>
<td align="center" valign="middle">0.648</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="center" valign="middle">A4</td>
<td align="center" valign="middle">0.998</td>
<td align="center" valign="middle">0.051</td>
<td align="center" valign="middle">19.729</td>
<td align="center" valign="middle"><sup>&#x002A;</sup></td>
<td align="center" valign="middle">0.822</td>
<td align="center" valign="middle">0.676</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="4">Depression</td>
<td align="center" valign="middle">D1</td>
<td align="center" valign="middle">1.000</td>
<td/>
<td/>
<td align="center" valign="middle"><sup>&#x002A;</sup></td>
<td align="center" valign="middle">0.824</td>
<td align="center" valign="middle">0.679</td>
<td align="center" valign="middle">0.892</td>
<td align="center" valign="middle">0.677</td>
<td align="center" valign="middle">4.342</td>
<td align="center" valign="middle">2</td>
<td align="center" valign="middle">2.171</td>
<td align="center" valign="middle">0.994</td>
<td align="center" valign="middle">0.970</td>
<td align="center" valign="middle">0.056</td>
</tr>
<tr>
<td align="center" valign="middle">D2</td>
<td align="center" valign="middle">1.021</td>
<td align="center" valign="middle">0.059</td>
<td align="center" valign="middle">17.422</td>
<td align="center" valign="middle"><sup>&#x002A;</sup></td>
<td align="center" valign="middle">0.786</td>
<td align="center" valign="middle">0.618</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="center" valign="middle">D3</td>
<td align="center" valign="middle">1.156</td>
<td align="center" valign="middle">0.054</td>
<td align="center" valign="middle">21.284</td>
<td align="center" valign="middle"><sup>&#x002A;</sup></td>
<td align="center" valign="middle">0.937</td>
<td align="center" valign="middle">0.878</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="center" valign="middle">D4</td>
<td align="center" valign="middle">0.772</td>
<td align="center" valign="middle">0.049</td>
<td align="center" valign="middle">15.681</td>
<td align="center" valign="middle"><sup>&#x002A;</sup></td>
<td align="center" valign="middle">0.729</td>
<td align="center" valign="middle">0.531</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="4">Emotional exhaustion</td>
<td align="center" valign="middle">B1</td>
<td align="center" valign="middle">1.000</td>
<td/>
<td/>
<td align="center" valign="middle"><sup>&#x002A;</sup></td>
<td align="center" valign="middle">0.808</td>
<td align="center" valign="middle">0.653</td>
<td align="center" valign="middle">0.917</td>
<td align="center" valign="middle">0.736</td>
<td align="center" valign="middle">5.085</td>
<td align="center" valign="middle">2</td>
<td align="center" valign="middle">2.543</td>
<td align="center" valign="middle">0.993</td>
<td align="center" valign="middle">0.996</td>
<td align="center" valign="middle">0.064</td>
</tr>
<tr>
<td align="center" valign="middle">B2</td>
<td align="center" valign="middle">1.384</td>
<td align="center" valign="middle">0.063</td>
<td align="center" valign="middle">22.060</td>
<td align="center" valign="middle"><sup>&#x002A;</sup></td>
<td align="center" valign="middle">0.941</td>
<td align="center" valign="middle">0.885</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="center" valign="middle">B3</td>
<td align="center" valign="middle">1.320</td>
<td align="center" valign="middle">0.063</td>
<td align="center" valign="middle">21.011</td>
<td align="center" valign="middle"><sup>&#x002A;</sup></td>
<td align="center" valign="middle">0.903</td>
<td align="center" valign="middle">0.815</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="center" valign="middle">B4</td>
<td align="center" valign="middle">1.095</td>
<td align="center" valign="middle">0.066</td>
<td align="center" valign="middle">16.701</td>
<td align="center" valign="middle"><sup>&#x002A;</sup></td>
<td align="center" valign="middle">0.768</td>
<td align="center" valign="middle">0.590</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="4">Depersonalization</td>
<td align="center" valign="middle">B5</td>
<td align="center" valign="middle">1.000</td>
<td/>
<td/>
<td align="center" valign="middle"><sup>&#x002A;</sup></td>
<td align="center" valign="middle">0.922</td>
<td align="center" valign="middle">0.850</td>
<td align="center" valign="middle">0.858</td>
<td align="center" valign="middle">0.611</td>
<td align="center" valign="middle">3.125</td>
<td align="center" valign="middle">2</td>
<td align="center" valign="middle">1.562</td>
<td align="center" valign="middle">0.996</td>
<td align="center" valign="middle">0.980</td>
<td align="center" valign="middle">0.039</td>
</tr>
<tr>
<td align="center" valign="middle">B6</td>
<td align="center" valign="middle">1.046</td>
<td align="center" valign="middle">0.045</td>
<td align="center" valign="middle">23.158</td>
<td align="center" valign="middle"><sup>&#x002A;</sup></td>
<td align="center" valign="middle">0.909</td>
<td align="center" valign="middle">0.826</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="center" valign="middle">B7</td>
<td align="center" valign="middle">0.602</td>
<td align="center" valign="middle">0.043</td>
<td align="center" valign="middle">14.075</td>
<td align="center" valign="middle"><sup>&#x002A;</sup></td>
<td align="center" valign="middle">0.640</td>
<td align="center" valign="middle">0.410</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="center" valign="middle">B8</td>
<td align="center" valign="middle">0.676</td>
<td align="center" valign="middle">0.053</td>
<td align="center" valign="middle">12.847</td>
<td align="center" valign="middle"><sup>&#x002A;</sup></td>
<td align="center" valign="middle">0.599</td>
<td align="center" valign="middle">0.359</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="4">Decreased personal accomplishment</td>
<td align="center" valign="top">B9</td>
<td align="center" valign="top">1</td>
<td/>
<td/>
<td align="center" valign="top"><sup>&#x002A;</sup></td>
<td align="center" valign="top">0.677</td>
<td align="center" valign="top">0.458</td>
<td align="center" valign="top">0.806</td>
<td align="center" valign="top">0.510</td>
<td align="center" valign="top">0.685</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">0.342</td>
<td align="center" valign="top">0.999</td>
<td align="center" valign="top">0.995</td>
<td align="center" valign="top">0.000</td>
</tr>
<tr>
<td align="center" valign="top">B10</td>
<td align="center" valign="top">1.143</td>
<td align="center" valign="top">0.103</td>
<td align="center" valign="top">11.066</td>
<td align="center" valign="top"><sup>&#x002A;</sup></td>
<td align="center" valign="top">0.715</td>
<td align="center" valign="top">0.511</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="center" valign="top">B11</td>
<td align="center" valign="top">1.062</td>
<td align="center" valign="top">0.092</td>
<td align="center" valign="top">11.509</td>
<td align="center" valign="top"><sup>&#x002A;</sup></td>
<td align="center" valign="top">0.767</td>
<td align="center" valign="top">0.588</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="center" valign="top">B12</td>
<td align="center" valign="top">1.114</td>
<td align="center" valign="top">0.103</td>
<td align="center" valign="top">10.860</td>
<td align="center" valign="top"><sup>&#x002A;</sup></td>
<td align="center" valign="top">0.696</td>
<td align="center" valign="top">0.484</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><sup>&#x002A;</sup>Indicate <italic>p</italic> less than 0.001.</p>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="tab6">
<label>Table 6</label>
<caption>
<p>Burnout competition model fitting indicators.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Patterns of second-order validation factors for burnout</th>
<th align="center" valign="top">&#x03C7;2</th>
<th align="center" valign="top">df</th>
<th align="center" valign="top">&#x03C7;2/df</th>
<th align="center" valign="top">GFI</th>
<th align="center" valign="top">AGFI</th>
<th align="center" valign="top">CFI</th>
<th align="center" valign="top">RMSEA</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">0.Null model</td>
<td align="center" valign="middle">2748.931</td>
<td align="center" valign="middle">66</td>
<td align="center" valign="middle">41.650</td>
<td align="center" valign="middle">0.292</td>
<td align="center" valign="middle">0.630</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">0.331</td>
</tr>
<tr>
<td align="left" valign="middle">1.The first-order third factor has a fully correlated model</td>
<td align="center" valign="middle">95.925</td>
<td align="center" valign="middle">51</td>
<td align="center" valign="middle">1.881</td>
<td align="center" valign="middle">0.962</td>
<td align="center" valign="middle">0.942</td>
<td align="center" valign="middle">0.983</td>
<td align="center" valign="middle">0.049</td>
</tr>
<tr>
<td align="left" valign="middle">2.Second order factor model</td>
<td align="center" valign="middle">95.925</td>
<td align="center" valign="middle">51</td>
<td align="center" valign="middle">1.881</td>
<td align="center" valign="middle">0.962</td>
<td align="center" valign="middle">0.942</td>
<td align="center" valign="middle">0.983</td>
<td align="center" valign="middle">0.049</td>
</tr>
<tr>
<td align="left" valign="middle">3.Suggested value</td>
<td align="center" valign="middle">The smaller the better</td>
<td align="center" valign="middle">The bigger the better</td>
<td align="center" valign="middle">&#x003C;5</td>
<td align="center" valign="middle">&#x003E;0.9</td>
<td align="center" valign="middle">&#x003E;0.9 (<xref ref-type="bibr" rid="ref59">59</xref>)</td>
<td align="center" valign="middle">&#x003E;0.9</td>
<td align="center" valign="middle">&#x003C;0.08</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec22">
<label>4.4.2.</label>
<title>Construction of the model</title>
<p>This study explores the relationship between job burnout, anxiety, and depression based on a theoretical model. The model suggests that anxiety and depression can impact job burnout, and a hypothetical model was created using nurses&#x2019; anxiety as an independent variable and depression as an intermediary variable. The model fit indices, with &#x03C7;2&#x2009;=&#x2009;342.096, df&#x2009;=&#x2009;164, &#x03C7;2/df&#x2009;=&#x2009;2.086, GFI&#x2009;=&#x2009;0.917, AGFI&#x2009;=&#x2009;0.893&#x3001;CFI&#x2009;=&#x2009;0.966, RMSEA&#x2009;=&#x2009;0.054, falls within an acceptable range, indicating a good model fitting effect (<xref rid="fig1" ref-type="fig">Figure 1</xref>).</p>
</sec>
<sec id="sec23">
<label>4.4.3.</label>
<title>Analysis of the total, direct, and indirect effects of the model</title>
<p>To determine if the model had a mediation effect, both Sobel and Bootstrap methods were used. The Sobel mediation effect was verified with a Z value of 4.55, which exceeded the standard of 2, indicating a mediation effect. The Bootstrap method also confirmed a partial mediation effect. The results indicate that anxiety has a total effect of 1.413 on job burnout, with a direct effect of 0.829 and an indirect effect of 0.584 (<xref rid="tab7" ref-type="table">Table 7</xref>).</p>
<table-wrap position="float" id="tab7">
<label>Table 7</label>
<caption>
<p>Analysis of the total, direct, and indirect effects of the model.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="3">Effects</th>
<th align="left" valign="top" rowspan="3">Variables</th>
<th align="center" valign="top" rowspan="3">Point Estimation</th>
<th align="center" valign="top" colspan="2" rowspan="2">Product of Coefficients</th>
<th align="center" valign="top" colspan="6">Bootstrapping</th>
</tr>
<tr>
<th align="center" valign="top" colspan="3">Bias-Corrected 95% CI</th>
<th align="center" valign="top" colspan="3">Percentile 95% CI</th>
</tr>
<tr>
<th align="center" valign="top">S.E.</th>
<th align="center" valign="top">Z</th>
<th align="center" valign="top">Lower</th>
<th align="center" valign="top">Upper</th>
<th align="center" valign="top"><italic>p</italic></th>
<th align="center" valign="top">Lower</th>
<th align="center" valign="top">Upper</th>
<th align="center" valign="top"><italic>p</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Total</td>
<td align="left" valign="middle">Anxiety&#x2192;Burnout</td>
<td align="center" valign="middle">1.413</td>
<td align="center" valign="middle">0.124</td>
<td align="center" valign="middle">11.4</td>
<td align="center" valign="middle">1.175</td>
<td align="center" valign="middle">1.664</td>
<td align="center" valign="middle">0.001</td>
<td align="center" valign="middle">1.178</td>
<td align="center" valign="middle">1.667</td>
<td align="center" valign="middle">0.001</td>
</tr>
<tr>
<td align="left" valign="middle">Direct</td>
<td align="left" valign="middle">Anxiety&#x2192;Burnout</td>
<td align="center" valign="middle">0.829</td>
<td align="center" valign="middle">0.167</td>
<td align="center" valign="middle">5.0</td>
<td align="center" valign="middle">0.517</td>
<td align="center" valign="middle">1.184</td>
<td align="center" valign="middle">0.001</td>
<td align="center" valign="middle">0.501</td>
<td align="center" valign="middle">1.167</td>
<td align="center" valign="middle">0.001</td>
</tr>
<tr>
<td align="left" valign="middle">Indirect</td>
<td align="left" valign="middle">Anxiety&#x2192;Burnout</td>
<td align="center" valign="middle">0.584</td>
<td align="center" valign="middle">0.150</td>
<td align="center" valign="middle">3.9</td>
<td align="center" valign="middle">0.312</td>
<td align="center" valign="middle">0.915</td>
<td align="center" valign="middle">0.001</td>
<td align="center" valign="middle">0.313</td>
<td align="center" valign="middle">0.917</td>
<td align="center" valign="middle">0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>2,000 bootstrap samples.</p>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
</sec>
<sec sec-type="discussion" id="sec24">
<label>5.</label>
<title>Discussion</title>
<p>The findings of the study indicate that the mean score for emotional exhaustion among participants is 22.12, indicating moderate levels of this phenomenon. Similarly, the average score for depersonalization is 9.62, suggesting high levels of this condition. Additionally, the mean score for decreased personal accomplishment is 26.70, indicating high levels of this aspect. Furthermore, the study reveals that the prevalence of severe burnout among nurses is 7.3%. The scores obtained in this study were found to be higher than the previous record of burnout among 1,621 nurses in Rizhao City before the epidemic. Specifically, the average score for emotional exhaustion was 18.14, depersonalization was 4.64, and decreased personal accomplishment was 34.59 (<xref ref-type="bibr" rid="ref60">60</xref>). The study found that the average subdimension score of emotional exhaustion was 18.9, the average score of depersonalization subdimension was 7.3, and the average score of decreased personal accomplishment subdimension was 11.4, which was higher than another study (<xref ref-type="bibr" rid="ref61">61</xref>). In comparison, the average subdimension score of emotional exhaustion was 26.6, the average score of depersonalization subdimension was 10.2, and the average score of decreased personal accomplishment subdimension was 27.3 in the other study (<xref ref-type="bibr" rid="ref62">62</xref>). These results suggest that burnout scores differ across time, regions, and groups. Overall, nurses experienced higher burnout scores during the epidemic than before. This is likely due to the added pressure of the uncertain hospital environment of the new crown epidemic, as well as additional tasks such as nursing, sample collection, and out-of-home support. These factors increase the work pressure of nurses and promote the emergence of job burnout. However, a systematic review found that nurses&#x2019; burnout scores did not differ significantly before and during the pandemic (<xref ref-type="bibr" rid="ref63">63</xref>). Consequently, both in emergencies and in normal daily routines, healthcare institutions should develop tailored occupational health programs and improve working conditions (<xref ref-type="bibr" rid="ref64">64</xref>).</p>
<p>The incidence of job burnout is known to increase in poor psychological conditions. Various studies conducted both domestically and internationally have found a positive correlation between anxiety, depression, and job burnout. A cross-sectional survey of 3,527 samples found anxiety (OR&#x2009;=&#x2009;4.87) and depression (OR&#x2009;=&#x2009;4.06) to be risk factors for job burnout (<xref ref-type="bibr" rid="ref65">65</xref>). One study in China have also found anxiety to be positively correlated with emotional exhaustion (r&#x2009;=&#x2009;0.637), depersonalization (r&#x2009;=&#x2009;0.417), and decreased personal accomplishment (r&#x2009;=&#x2009;&#x2212;0.242), while depression is positively correlated with job burnout (<xref ref-type="bibr" rid="ref34">34</xref>). This study also found a positive correlation between anxiety, depression, and job burnout (emotional exhaustion: r&#x2009;=&#x2009;0.569, depersonalization: r&#x2009;=&#x2009;0.406, decreased personal accomplishment: r&#x2009;=&#x2009;&#x2212;0.378), but the causal relationship between the three is still unclear. To further explore the relationship between anxiety, depression, and job burnout, a structural equation model was constructed.</p>
<p>Previous studies have shown that anxiety and depression can both impact job burnout through other mediating variables (<xref ref-type="bibr" rid="ref66">66</xref>, <xref ref-type="bibr" rid="ref67">67</xref>). Additionally, other investigations have revealed that burnout can serve as a mediating factor in the regulation of anxiety and depression (<xref ref-type="bibr" rid="ref68 ref69 ref70">68&#x2013;70</xref>). In the current research, we have developed a hypothesis positing that anxiety could potentially exert an indirect influence on burnout through the mediating factor of depression. This particular aspect of our study sets it apart from previous inquiries in the field. The findings of our study further corroborate this hypothesis. The results indicate that anxiety has a partial mediating effect on job burnout, with both direct (0.829) and indirect (0.584) effects observed. The direct effect accounts for 58.7% of the total effect, while the indirect effect accounts for 41.3%. These findings suggest that nurses who experience higher levels of anxiety are more likely to experience burnout, and that depression can exacerbate this relationship. Overall, these results highlight the importance of addressing both anxiety and depression in the prevention and management of job burnout among nurses. The comprehensive findings of the study offer substantial evidence in favor of accepting all the proposed hypotheses and their underlying assumptions.</p>
<p>Some questions in the scale were deleted in this study based on the modification index and square multiple correlation. The model fit could be improved based on the modification index. However, it is important to note that this correction is data-driven and may introduce coincidental errors in probability, limiting its generalizability to other samples (<xref ref-type="bibr" rid="ref71">71</xref>). If the square multiple correlation falls below 0.6, it suggests that the corresponding topic should be removed from the analysis as it fails to adequately represent the construct characteristics (<xref ref-type="bibr" rid="ref47">47</xref>, <xref ref-type="bibr" rid="ref48">48</xref>). Furthermore, it is recommended that a construct should ideally consist of 4 to 6 measurement variables (<xref ref-type="bibr" rid="ref72">72</xref>), and all constructs in this study met this criterion by including 4 variables. Since the process of model generation is implicated in data-driven issues and there is no guarantee that the results of the model correction will be consistent with the overall results, the current study requires a new set of samples to perform the test of cross validity to assess the stability of the model (<xref ref-type="bibr" rid="ref73">73</xref>, <xref ref-type="bibr" rid="ref74">74</xref>).</p>
<p>There are many scales used to measure different symptoms of anxiety and depression, this study used GAD-7 and PHQ-9 to measure anxiety and depression, respectively, (<xref ref-type="bibr" rid="ref75">75</xref>). Although these two scales are classic psychological scales with high reliability and validity, the process of using the scales is only to add up the scores of the respondents to get a total score, and then determine whether there are symptoms of anxiety and depression according to the criteria. Anxiety and depression, as a complex mental illness, have many different symptoms, and the practice of grouping different symptoms into a total score cannot truly reflect the behavior and symptoms of an individual (<xref ref-type="bibr" rid="ref40">40</xref>, <xref ref-type="bibr" rid="ref76">76</xref>). In addition, the current study deleted some questions in the scale to obtain a better model during model modification, a practice that improves the fit of the model but loses important information to a certain extent. Therefore, the scale can only be used as an auxiliary tool in clinical applications, and the most crucial thing is to rely on the questioning technique.</p>
</sec>
<sec id="sec25">
<label>6.</label>
<title>Limitations</title>
<p>Several limitations of the study should be settled. First, an self-assessment online questionnaire was implemented in this study, the participants will fill in the answer at random affected by response and social desirability bias. Second, we only surveyed health workers in Quanzhou, the calculated sample size could not be fully achieved, and the applicability to other regions requires further research. At last, SEM was often used to quantitatively verify relationships between variables, limiting conclusions about causality because of the cross-sectional data.</p>
</sec>
<sec id="sec26">
<label>7.</label>
<title>Contributions and conclusions</title>
<p>Our findings showed that a positive correlation between anxiety and depression on burnout, which was conform to our hypothesis. This finding contributes to understanding the relationship between burnout and mental health as well as providing additional data support for existing models. In addition, this result may also explain that during times of emergency, such as a pandemic with COVID-19 or public health emergencies, caregivers may be under more stress leading to burnout.</p>
<p>Nurses exhibit a greater prevalence of anxiety, depression, and burnout. Anxiety not only directly impacts burnout, but also indirectly influences burnout through its association with depression. Depression was identified as a mediating factor in the connection between anxiety and burnout. It is imperative for hospital administrators to prioritize the mental health of nurses and support them to strengthen psychological testing and counselling.</p>
</sec>
<sec sec-type="data-availability" id="sec27">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1">Supplementary material</xref>, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec sec-type="ethics-statement" id="sec28">
<title>Ethics statement</title>
<p>The studies involving humans were approved by the ethical committee of Quanzhou First Hospital (NO.Quan Yi lun 2020181). The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.</p>
</sec>
<sec sec-type="author-contributions" id="sec29">
<title>Author contributions</title>
<p>FL conceived and designed the experiments, performed the experiments, analyzed the data, prepared figures and/or tables, authored or reviewed drafts of the article, and approved the final draft. YZ authored or reviewed drafts of the article, and approved the final draft. YC prepared figures and/or tables and authored or reviewed drafts of the article. ZT conceived and designed the experiments, authored or reviewed drafts of the article, and approved the final draft. All authors contributed to the article and approved the submitted version.</p>
</sec>
</body>
<back>
<sec sec-type="funding-information" id="sec31">
<title>Funding</title>
<p>This study was granted by the Natural Science Foundation of Quanzhou (Grant No.2021N124S PI: Fuzhi Liu) and the University-level Scientific Research Fund of Quanzhou Medical College (GrantNo. XJK2009B; PI: FL). The funders had no role in study design, data collection andanalysis, decision to publish, or preparation of the manuscript.</p>
</sec>
<ack>
<p>We thank the participated nurses in the study. We also acknowledge the reviewers and editors for viewing our work.</p>
</ack>
<sec sec-type="COI-statement" id="sec32">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="sec100" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec sec-type="supplementary-material" id="sec33">
<title>Supplementary material</title>
<p>The Supplementary material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/fpubh.2023.1221501/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fpubh.2023.1221501/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Data_Sheet_1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
<ref-list>
<title>References</title>
<ref id="ref1"><label>1.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Beggs-Yeager</surname> <given-names>C</given-names></name> <name><surname>Sharts-Hopko</surname> <given-names>N</given-names></name> <name><surname>McDermott-Levy</surname> <given-names>R</given-names></name></person-group>. <article-title>The role of nurses in surveillance to enhance global health security: a delphi study</article-title>. <source>Nurs Outlook</source>. (<year>2021</year>) <volume>69</volume>:<fpage>1021</fpage>&#x2013;<lpage>9</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.outlook.2021.05.011</pub-id>, PMID: <pub-id pub-id-type="pmid">34332765</pub-id></citation></ref>
<ref id="ref2"><label>2.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Guilamo-Ramos</surname> <given-names>V</given-names></name> <name><surname>Thimm-Kaiser</surname> <given-names>M</given-names></name> <name><surname>Benzekri</surname> <given-names>A</given-names></name> <name><surname>Hidalgo</surname> <given-names>A</given-names></name> <name><surname>Lanier</surname> <given-names>Y</given-names></name> <name><surname>Tlou</surname> <given-names>S</given-names></name> <etal/></person-group>. <article-title>Nurses at the frontline of public health emergency preparedness and response: lessons learned from the HIV/AIDS pandemic and emerging infectious disease outbreaks</article-title>. <source>Lancet Infect Dis</source>. (<year>2021</year>) <volume>21</volume>:<fpage>e326</fpage>&#x2013;<lpage>33</lpage>. doi: <pub-id pub-id-type="doi">10.1016/S1473-3099(20)30983-X</pub-id>, PMID: <pub-id pub-id-type="pmid">33743850</pub-id></citation></ref>
<ref id="ref3"><label>3.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Swanson</surname> <given-names>M</given-names></name> <name><surname>Wong</surname> <given-names>ST</given-names></name> <name><surname>Martin-Misener</surname> <given-names>R</given-names></name> <name><surname>Browne</surname> <given-names>AJ</given-names></name></person-group>. <article-title>The role of registered nurses in primary care and public health collaboration: a scoping review</article-title>. <source>Nurs Open</source>. (<year>2020</year>) <volume>7</volume>:<fpage>1197</fpage>&#x2013;<lpage>207</lpage>. doi: <pub-id pub-id-type="doi">10.1002/nop2.496</pub-id>, PMID: <pub-id pub-id-type="pmid">32587740</pub-id></citation></ref>
<ref id="ref4"><label>4.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Danet</surname> <given-names>AD</given-names></name></person-group>. <article-title>Psychological impact of COVID-19 pandemic in Western frontline healthcare professionals. A systematic review</article-title>. <source>Med Clin (Barc)</source>. (<year>2021</year>) <volume>156</volume>:<fpage>449</fpage>&#x2013;<lpage>58</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.medcle.2020.11.003</pub-id></citation></ref>
<ref id="ref5"><label>5.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ca&#x00F1;adas-de la Fuente</surname> <given-names>GA</given-names></name> <name><surname>Albend&#x00ED;n-Garc&#x00ED;a</surname> <given-names>L</given-names></name> <name><surname>Ortega-Campos</surname> <given-names>E</given-names></name> <name><surname>de la Fuente-Solana</surname> <given-names>EI</given-names></name></person-group>. <article-title>Nurse burnout in critical care units and emergency departments: intensity and associated factors</article-title>. <source>Emergencias</source>. (<year>2018</year>) <volume>30</volume>:<fpage>328</fpage>&#x2013;<lpage>31</lpage>. PMID: <pub-id pub-id-type="pmid">30260117</pub-id></citation></ref>
<ref id="ref6"><label>6.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Chemali</surname> <given-names>Z</given-names></name> <name><surname>Ezzeddine</surname> <given-names>FL</given-names></name> <name><surname>Gelaye</surname> <given-names>B</given-names></name> <name><surname>Dossett</surname> <given-names>ML</given-names></name> <name><surname>Salameh</surname> <given-names>J</given-names></name> <name><surname>Bizri</surname> <given-names>M</given-names></name> <etal/></person-group>. <article-title>Burnout among healthcare providers in the complex environment of the Middle East: a systematic review</article-title>. <source>BMC Public Health</source>. (<year>2019</year>) <volume>19</volume>:<fpage>1337</fpage>. doi: <pub-id pub-id-type="doi">10.1186/s12889-019-7713-1</pub-id>, PMID: <pub-id pub-id-type="pmid">31640650</pub-id></citation></ref>
<ref id="ref7"><label>7.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Maunder</surname> <given-names>R</given-names></name> <name><surname>Lancee</surname> <given-names>W</given-names></name> <name><surname>Balderson</surname> <given-names>K</given-names></name> <name><surname>Bennett</surname> <given-names>J</given-names></name> <name><surname>Borgundvaag</surname> <given-names>B</given-names></name> <name><surname>Evans</surname> <given-names>S</given-names></name> <etal/></person-group>. <article-title>Long-term psychological and occupational effects of providing hospital healthcare during SARS outbreak</article-title>. <source>Emerg Infect Dis</source>. (<year>2006</year>) <volume>12</volume>:<fpage>1924</fpage>&#x2013;<lpage>32</lpage>. doi: <pub-id pub-id-type="doi">10.3201/eid1212.060584</pub-id>, PMID: <pub-id pub-id-type="pmid">17326946</pub-id></citation></ref>
<ref id="ref8"><label>8.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Habas</surname> <given-names>K</given-names></name> <name><surname>Nganwuchu</surname> <given-names>C</given-names></name> <name><surname>Shahzad</surname> <given-names>F</given-names></name> <name><surname>Gopalan</surname> <given-names>R</given-names></name> <name><surname>Haque</surname> <given-names>M</given-names></name> <name><surname>Rahman</surname> <given-names>S</given-names></name> <etal/></person-group>. <article-title>Resolution of coronavirus disease 2019 (COVID-19)</article-title>. <source>Expert Rev Anti-Infect Ther</source>. (<year>2020</year>) <volume>18</volume>:<fpage>1201</fpage>&#x2013;<lpage>11</lpage>. doi: <pub-id pub-id-type="doi">10.1080/14787210.2020.1797487</pub-id>, PMID: <pub-id pub-id-type="pmid">32749914</pub-id></citation></ref>
<ref id="ref9"><label>9.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Stelnicki</surname> <given-names>AM</given-names></name> <name><surname>Carleton</surname> <given-names>RN</given-names></name> <name><surname>Reichert</surname> <given-names>C</given-names></name></person-group>. <article-title>Nurses' mental health and well-being: COVID-19 impacts</article-title>. <source>Can J Nurs Res</source>. (<year>2020</year>) <volume>52</volume>:<fpage>237</fpage>&#x2013;<lpage>9</lpage>. doi: <pub-id pub-id-type="doi">10.1177/0844562120931623</pub-id>, PMID: <pub-id pub-id-type="pmid">32515209</pub-id></citation></ref>
<ref id="ref10"><label>10.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Tricas Moreno</surname> <given-names>JM</given-names></name> <name><surname>Salavera Bordas</surname> <given-names>C</given-names></name> <name><surname>Lucha Lopez</surname> <given-names>MO</given-names></name> <name><surname>Vidal Peracho</surname> <given-names>C</given-names></name> <name><surname>Lucha Lopez</surname> <given-names>AC</given-names></name> <name><surname>Estebanez de Miguel</surname> <given-names>E</given-names></name> <etal/></person-group>. <article-title>Descriptive study of stress and satisfaction at work in the Saragossa university services and administration staff</article-title>. <source>Int J Ment Health Syst</source>. (<year>2010</year>) <volume>4</volume>:<fpage>7</fpage>. doi: <pub-id pub-id-type="doi">10.1186/1752-4458-4-7</pub-id>, PMID: <pub-id pub-id-type="pmid">20409314</pub-id></citation></ref>
<ref id="ref11"><label>11.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Maslach</surname> <given-names>C</given-names></name> <name><surname>Jackson</surname> <given-names>SE</given-names></name></person-group>. <article-title>The measurement of experienced burnout</article-title>. <source>J Occup Behav</source>. (<year>1981</year>) <volume>2</volume>:<fpage>99</fpage>&#x2013;<lpage>113</lpage>. doi: <pub-id pub-id-type="doi">10.1002/job.4030020205</pub-id></citation></ref>
<ref id="ref12"><label>12.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Tamrakar</surname> <given-names>P</given-names></name> <name><surname>Pant</surname> <given-names>SB</given-names></name> <name><surname>Acharya</surname> <given-names>SP</given-names></name></person-group>. <article-title>Anxiety and depression among nurses in COVID and non-COVID intensive care units</article-title>. <source>Nurs Crit Care</source>. (<year>2023</year>) <volume>28</volume>:<fpage>272</fpage>&#x2013;<lpage>80</lpage>. doi: <pub-id pub-id-type="doi">10.1111/nicc.12685</pub-id>, PMID: <pub-id pub-id-type="pmid">34580949</pub-id></citation></ref>
<ref id="ref13"><label>13.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Giorgi</surname> <given-names>G</given-names></name> <name><surname>Lecca</surname> <given-names>LI</given-names></name> <name><surname>Alessio</surname> <given-names>F</given-names></name> <name><surname>Finstad</surname> <given-names>GL</given-names></name> <name><surname>Bondanini</surname> <given-names>G</given-names></name> <name><surname>Lulli</surname> <given-names>LG</given-names></name> <etal/></person-group>. <article-title>COVID-19-related mental health effects in the workplace: a narrative review</article-title>. <source>Int J Environ Res Public Health</source>. (<year>2020</year>) <volume>17</volume>:<fpage>7857</fpage>. doi: <pub-id pub-id-type="doi">10.3390/ijerph17217857</pub-id>, PMID: <pub-id pub-id-type="pmid">33120930</pub-id></citation></ref>
<ref id="ref14"><label>14.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Cort&#x00E9;s-&#x00C1;lvarez</surname> <given-names>NY</given-names></name> <name><surname>Vuelvas-Olmos</surname> <given-names>CR</given-names></name></person-group>. <article-title>COVID 19: psychological effects and associated factors in Mexican nurses</article-title>. <source>Disaster Med Public Health Prep</source>. (<year>2022</year>) <volume>16</volume>:<fpage>1377</fpage>&#x2013;<lpage>83</lpage>. doi: <pub-id pub-id-type="doi">10.1017/dmp.2020.495</pub-id>, PMID: <pub-id pub-id-type="pmid">33706845</pub-id></citation></ref>
<ref id="ref15"><label>15.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Greenberg</surname> <given-names>N</given-names></name> <name><surname>Weston</surname> <given-names>D</given-names></name> <name><surname>Hall</surname> <given-names>C</given-names></name> <name><surname>Caulfield</surname> <given-names>T</given-names></name> <name><surname>Williamson</surname> <given-names>V</given-names></name> <name><surname>Fong</surname> <given-names>K</given-names></name></person-group>. <article-title>Mental health of staff working in intensive care during Covid-19</article-title>. <source>Occup Med (Lond)</source>. (<year>2021</year>) <volume>71</volume>:<fpage>62</fpage>&#x2013;<lpage>7</lpage>. doi: <pub-id pub-id-type="doi">10.1093/occmed/kqaa220</pub-id>, PMID: <pub-id pub-id-type="pmid">33434920</pub-id></citation></ref>
<ref id="ref16"><label>16.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kang</surname> <given-names>L</given-names></name> <name><surname>Ma</surname> <given-names>S</given-names></name> <name><surname>Chen</surname> <given-names>M</given-names></name> <name><surname>Yang</surname> <given-names>J</given-names></name> <name><surname>Wang</surname> <given-names>Y</given-names></name> <name><surname>Li</surname> <given-names>R</given-names></name> <etal/></person-group>. <article-title>Impact on mental health and perceptions of psychological care among medical and nursing staff in Wuhan during the 2019 novel coronavirus disease outbreak: a cross-sectional study</article-title>. <source>Brain Behav Immun</source>. (<year>2020</year>) <volume>87</volume>:<fpage>11</fpage>&#x2013;<lpage>7</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.bbi.2020.03.028</pub-id>, PMID: <pub-id pub-id-type="pmid">32240764</pub-id></citation></ref>
<ref id="ref17"><label>17.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Pappa</surname> <given-names>S</given-names></name> <name><surname>Ntella</surname> <given-names>V</given-names></name> <name><surname>Giannakas</surname> <given-names>T</given-names></name> <name><surname>Giannakoulis</surname> <given-names>VG</given-names></name> <name><surname>Papoutsi</surname> <given-names>E</given-names></name> <name><surname>Katsaounou</surname> <given-names>P</given-names></name></person-group>. <article-title>Prevalence of depression, anxiety, and insomnia among healthcare workers during the COVID-19 pandemic: a systematic review and meta-analysis</article-title>. <source>Brain Behav Immun</source>. (<year>2020</year>) <volume>88</volume>:<fpage>901</fpage>&#x2013;<lpage>7</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.bbi.2020.05.026</pub-id>, PMID: <pub-id pub-id-type="pmid">32437915</pub-id></citation></ref>
<ref id="ref18"><label>18.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Saragih</surname> <given-names>ID</given-names></name> <name><surname>Tonapa</surname> <given-names>SI</given-names></name> <name><surname>Saragih</surname> <given-names>IS</given-names></name> <name><surname>Advani</surname> <given-names>S</given-names></name> <name><surname>Batubara</surname> <given-names>SO</given-names></name> <name><surname>Suarilah</surname> <given-names>I</given-names></name> <etal/></person-group>. <article-title>Global prevalence of mental health problems among healthcare workers during the Covid-19 pandemic: a systematic review and meta-analysis</article-title>. <source>Int J Nurs Stud</source>. (<year>2021</year>) <volume>121</volume>:<fpage>104002</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.ijnurstu.2021.104002</pub-id>, PMID: <pub-id pub-id-type="pmid">34271460</pub-id></citation></ref>
<ref id="ref19"><label>19.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Xiang</surname> <given-names>YT</given-names></name> <name><surname>Yang</surname> <given-names>Y</given-names></name> <name><surname>Li</surname> <given-names>W</given-names></name> <name><surname>Zhang</surname> <given-names>L</given-names></name> <name><surname>Zhang</surname> <given-names>Q</given-names></name> <name><surname>Cheung</surname> <given-names>T</given-names></name> <etal/></person-group>. <article-title>Timely mental health care for the 2019 novel coronavirus outbreak is urgently needed</article-title>. <source>Lancet Psychiatry</source>. (<year>2020</year>) <volume>7</volume>:<fpage>228</fpage>. doi: <pub-id pub-id-type="doi">10.1016/S2215-0366(20)30046-8</pub-id></citation></ref>
<ref id="ref20"><label>20.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Salari</surname> <given-names>N</given-names></name> <name><surname>Khazaie</surname> <given-names>H</given-names></name> <name><surname>Hosseinian-Far</surname> <given-names>A</given-names></name> <name><surname>Khaledi-Paveh</surname> <given-names>B</given-names></name> <name><surname>Kazeminia</surname> <given-names>M</given-names></name> <name><surname>Mohammadi</surname> <given-names>M</given-names></name> <etal/></person-group>. <article-title>The prevalence of stress, anxiety and depression within front-line healthcare workers caring for COVID-19 patients: a systematic review and meta-regression</article-title>. <source>Hum Resour Health</source>. (<year>2020</year>) <volume>18</volume>:<fpage>100</fpage>. doi: <pub-id pub-id-type="doi">10.1186/s12960-020-00544-1</pub-id>, PMID: <pub-id pub-id-type="pmid">33334335</pub-id></citation></ref>
<ref id="ref21"><label>21.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Marvaldi</surname> <given-names>M</given-names></name> <name><surname>Mallet</surname> <given-names>J</given-names></name> <name><surname>Dubertret</surname> <given-names>C</given-names></name> <name><surname>Moro</surname> <given-names>MR</given-names></name> <name><surname>Guessoum</surname> <given-names>SB</given-names></name></person-group>. <article-title>Anxiety, depression, trauma-related, and sleep disorders among healthcare workers during the COVID-19 pandemic: a systematic review and meta-analysis</article-title>. <source>Neurosci Biobehav Rev</source>. (<year>2021</year>) <volume>126</volume>:<fpage>252</fpage>&#x2013;<lpage>64</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.neubiorev.2021.03.024</pub-id>, PMID: <pub-id pub-id-type="pmid">33774085</pub-id></citation></ref>
<ref id="ref22"><label>22.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Liu</surname> <given-names>L</given-names></name> <name><surname>Liu</surname> <given-names>C</given-names></name> <name><surname>Wang</surname> <given-names>Y</given-names></name> <name><surname>Wang</surname> <given-names>P</given-names></name> <name><surname>Li</surname> <given-names>Y</given-names></name> <name><surname>Li</surname> <given-names>B</given-names></name></person-group>. <article-title>Herbal medicine for anxiety, depression and insomnia</article-title>. <source>Curr Neuropharmacol</source>. (<year>2015</year>) <volume>13</volume>:<fpage>481</fpage>&#x2013;<lpage>93</lpage>. doi: <pub-id pub-id-type="doi">10.2174/1570159X1304150831122734</pub-id>, PMID: <pub-id pub-id-type="pmid">26412068</pub-id></citation></ref>
<ref id="ref23"><label>23.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Choi</surname> <given-names>KW</given-names></name> <name><surname>Kim</surname> <given-names>YK</given-names></name> <name><surname>Jeon</surname> <given-names>HJ</given-names></name></person-group>. <article-title>Comorbid anxiety and depression: clinical and conceptual consideration and Transdiagnostic treatment</article-title>. <source>Adv Exp Med Biol</source>. (<year>2020</year>) <volume>1191</volume>:<fpage>219</fpage>&#x2013;<lpage>35</lpage>. doi: <pub-id pub-id-type="doi">10.1007/978-981-32-9705-0_14</pub-id>, PMID: <pub-id pub-id-type="pmid">32002932</pub-id></citation></ref>
<ref id="ref24"><label>24.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wen</surname> <given-names>FH</given-names></name> <name><surname>Chou</surname> <given-names>WC</given-names></name> <name><surname>Huang</surname> <given-names>CC</given-names></name> <name><surname>Hu</surname> <given-names>TH</given-names></name> <name><surname>Chiang</surname> <given-names>MC</given-names></name> <name><surname>Chuang</surname> <given-names>LP</given-names></name> <etal/></person-group>. <article-title>ICU bereaved surrogates' comorbid psychological-distress states and their associations with prolonged grief disorder</article-title>. <source>Crit Care</source>. (<year>2022</year>) <volume>26</volume>:<fpage>102</fpage>. doi: <pub-id pub-id-type="doi">10.1186/s13054-022-03981-7</pub-id>, PMID: <pub-id pub-id-type="pmid">35410374</pub-id></citation></ref>
<ref id="ref25"><label>25.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wilkinson</surname> <given-names>PO</given-names></name> <name><surname>Croudace</surname> <given-names>TJ</given-names></name> <name><surname>Goodyer</surname> <given-names>IM</given-names></name></person-group>. <article-title>Rumination, anxiety, depressive symptoms and subsequent depression in adolescents at risk for psychopathology: a longitudinal cohort study</article-title>. <source>BMC Psychiatry</source>. (<year>2013</year>) <volume>13</volume>:<fpage>250</fpage>. doi: <pub-id pub-id-type="doi">10.1186/1471-244X-13-250</pub-id>, PMID: <pub-id pub-id-type="pmid">24103296</pub-id></citation></ref>
<ref id="ref26"><label>26.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Horn</surname> <given-names>PJ</given-names></name> <name><surname>Wuyek</surname> <given-names>LA</given-names></name></person-group>. <article-title>Anxiety disorders as a risk factor for subsequent depression</article-title>. <source>Int J Psychiatry Clin Pract</source>. (<year>2010</year>) <volume>14</volume>:<fpage>244</fpage>&#x2013;<lpage>7</lpage>. doi: <pub-id pub-id-type="doi">10.3109/13651501.2010.487979</pub-id>, PMID: <pub-id pub-id-type="pmid">24917433</pub-id></citation></ref>
<ref id="ref27"><label>27.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Barber</surname> <given-names>KE</given-names></name> <name><surname>Zainal</surname> <given-names>NH</given-names></name> <name><surname>Newman</surname> <given-names>MG</given-names></name></person-group>. <article-title>Positive relations mediate the bidirectional connections between depression and anxiety symptoms</article-title>. <source>J Affect Disord</source>. (<year>2023</year>) <volume>324</volume>:<fpage>387</fpage>&#x2013;<lpage>94</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jad.2022.12.082</pub-id>, PMID: <pub-id pub-id-type="pmid">36584704</pub-id></citation></ref>
<ref id="ref28"><label>28.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Jacobson</surname> <given-names>NC</given-names></name> <name><surname>Newman</surname> <given-names>MG</given-names></name></person-group>. <article-title>Anxiety and depression as bidirectional risk factors for one another: a meta-analysis of longitudinal studies</article-title>. <source>Psychol Bull</source>. (<year>2017</year>) <volume>143</volume>:<fpage>1155</fpage>&#x2013;<lpage>200</lpage>. doi: <pub-id pub-id-type="doi">10.1037/bul0000111</pub-id>, PMID: <pub-id pub-id-type="pmid">28805400</pub-id></citation></ref>
<ref id="ref29"><label>29.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Bakhamis</surname> <given-names>L</given-names></name> <name><surname>Paul</surname><given-names>DP</given-names> <suffix>3rd</suffix></name> <name><surname>Smith</surname> <given-names>H</given-names></name> <name><surname>Coustasse</surname> <given-names>A</given-names></name></person-group>. <article-title>Still an epidemic: the burnout syndrome in hospital registered nurses</article-title>. <source>Health Care Manag (Frederick)</source>. (<year>2019</year>) <volume>38</volume>:<fpage>3</fpage>&#x2013;<lpage>10</lpage>. doi: <pub-id pub-id-type="doi">10.1097/HCM.0000000000000243</pub-id>, PMID: <pub-id pub-id-type="pmid">30640239</pub-id></citation></ref>
<ref id="ref30"><label>30.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sullivan</surname> <given-names>D</given-names></name> <name><surname>Sullivan</surname> <given-names>V</given-names></name> <name><surname>Weatherspoon</surname> <given-names>D</given-names></name> <name><surname>Frazer</surname> <given-names>C</given-names></name></person-group>. <article-title>Comparison of nurse burnout, before and during the COVID-19 pandemic</article-title>. <source>Nurs Clin North Am</source>. (<year>2022</year>) <volume>57</volume>:<fpage>79</fpage>&#x2013;<lpage>99</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.cnur.2021.11.006</pub-id>, PMID: <pub-id pub-id-type="pmid">35236610</pub-id></citation></ref>
<ref id="ref31"><label>31.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Galanis</surname> <given-names>P</given-names></name> <name><surname>Vraka</surname> <given-names>I</given-names></name> <name><surname>Fragkou</surname> <given-names>D</given-names></name> <name><surname>Bilali</surname> <given-names>A</given-names></name> <name><surname>Kaitelidou</surname> <given-names>D</given-names></name></person-group>. <article-title>Nurses' burnout and associated risk factors during the COVID-19 pandemic: a systematic review and meta-analysis</article-title>. <source>J Adv Nurs</source>. (<year>2021</year>) <volume>77</volume>:<fpage>3286</fpage>&#x2013;<lpage>302</lpage>. doi: <pub-id pub-id-type="doi">10.1111/jan.14839</pub-id>, PMID: <pub-id pub-id-type="pmid">33764561</pub-id></citation></ref>
<ref id="ref32"><label>32.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Maslach</surname> <given-names>C</given-names></name></person-group>. <article-title>What have we learned about burnout and health?</article-title> <source>Psychol Health</source>. (<year>2001</year>) <volume>16</volume>:<fpage>607</fpage>&#x2013;<lpage>11</lpage>. doi: <pub-id pub-id-type="doi">10.1080/08870440108405530</pub-id>, PMID: <pub-id pub-id-type="pmid">22804502</pub-id></citation></ref>
<ref id="ref33"><label>33.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Golonka</surname> <given-names>K</given-names></name> <name><surname>Mojsa-Kaja</surname> <given-names>J</given-names></name> <name><surname>Blukacz</surname> <given-names>M</given-names></name> <name><surname>Gaw&#x0142;owska</surname> <given-names>M</given-names></name> <name><surname>Marek</surname> <given-names>T</given-names></name></person-group>. <article-title>Occupational burnout and its overlapping effect with depression and anxiety</article-title>. <source>Int J Occup Med Environ Health</source>. (<year>2019</year>) <volume>32</volume>:<fpage>229</fpage>&#x2013;<lpage>44</lpage>. doi: <pub-id pub-id-type="doi">10.13075/ijomeh.1896.01323</pub-id>, PMID: <pub-id pub-id-type="pmid">30855601</pub-id></citation></ref>
<ref id="ref34"><label>34.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hu</surname> <given-names>D</given-names></name> <name><surname>Kong</surname> <given-names>Y</given-names></name> <name><surname>Li</surname> <given-names>W</given-names></name> <name><surname>Han</surname> <given-names>Q</given-names></name> <name><surname>Zhang</surname> <given-names>X</given-names></name> <name><surname>Zhu</surname> <given-names>LX</given-names></name> <etal/></person-group>. <article-title>Frontline nurses' burnout, anxiety, depression, and fear statuses and their associated factors during the COVID-19 outbreak in Wuhan, China: a large-scale cross-sectional study</article-title>. <source>EClinicalMedicine</source>. (<year>2020</year>) <volume>24</volume>:<fpage>100424</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.eclinm.2020.100424</pub-id>, PMID: <pub-id pub-id-type="pmid">32766539</pub-id></citation></ref>
<ref id="ref35"><label>35.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Y&#x0131;ld&#x0131;r&#x0131;m</surname> <given-names>M</given-names></name> <name><surname>Kaynar</surname> <given-names>&#x00D6;</given-names></name> <name><surname>Chirico</surname> <given-names>F</given-names></name> <name><surname>Magnavita</surname> <given-names>N</given-names></name></person-group>. <article-title>Resilience and extrinsic motivation as mediators in the relationship between fear of failure and burnout</article-title>. <source>Int J Environ Res Public Health</source>. (<year>2023</year>) <volume>20</volume>:<fpage>5895</fpage>. doi: <pub-id pub-id-type="doi">10.3390/ijerph20105895</pub-id>, PMID: <pub-id pub-id-type="pmid">37239621</pub-id></citation></ref>
<ref id="ref36"><label>36.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Y&#x0131;ld&#x0131;r&#x0131;m</surname> <given-names>M</given-names></name> <name><surname>Solmaz</surname> <given-names>F</given-names></name></person-group>. <article-title>COVID-19 burnout, COVID-19 stress and resilience: initial psychometric properties of COVID-19 burnout scale</article-title>. <source>Death Stud</source>. (<year>2022</year>) <volume>46</volume>:<fpage>524</fpage>&#x2013;<lpage>32</lpage>. doi: <pub-id pub-id-type="doi">10.1080/07481187.2020.1818885</pub-id>, PMID: <pub-id pub-id-type="pmid">32915702</pub-id></citation></ref>
<ref id="ref37"><label>37.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Y&#x0131;ld&#x0131;r&#x0131;m</surname> <given-names>M</given-names></name> <name><surname>Ashraf</surname> <given-names>F</given-names></name></person-group>. <article-title>Fear of COVID-19, coronavirus anxiety, COVID-19 burnout, and resilience: examining psychometric properties of COVID-19 burnout scale in Urdu</article-title>. <source>J Asian Afr Stud</source>. (<year>2023</year>) <fpage>002190962311531</fpage>. doi: <pub-id pub-id-type="doi">10.1177/00219096231153161</pub-id></citation></ref>
<ref id="ref38"><label>38.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>&#x00C7;a&#x011F;&#x0131;&#x015F;</surname> <given-names>ZG</given-names></name> <name><surname>Y&#x0131;ld&#x0131;r&#x0131;m</surname> <given-names>M</given-names></name></person-group>. <article-title>Understanding the effect of fear of COVID-19 on COVID-19 burnout and job satisfaction: a mediation model of psychological capital</article-title>. <source>Psychol Health Med</source>. (<year>2023</year>) <volume>28</volume>:<fpage>279</fpage>&#x2013;<lpage>89</lpage>. doi: <pub-id pub-id-type="doi">10.1080/13548506.2022.2077970</pub-id>, PMID: <pub-id pub-id-type="pmid">35579863</pub-id></citation></ref>
<ref id="ref39"><label>39.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Chen</surname> <given-names>X</given-names></name> <name><surname>Yang</surname> <given-names>Q</given-names></name> <name><surname>Y&#x0131;ld&#x0131;r&#x0131;m</surname> <given-names>M</given-names></name> <name><surname>Ye</surname> <given-names>B</given-names></name> <name><surname>Wang</surname> <given-names>R</given-names></name></person-group>. <article-title>How COVID-19 prevention burnout impacts emotional symptoms among Chinese college students: a moderated mediation model</article-title>. <source>J Health Psychol</source>. (<year>2023</year>) <fpage>13591053231189419</fpage>. doi: <pub-id pub-id-type="doi">10.1177/13591053231189419</pub-id></citation></ref>
<ref id="ref40"><label>40.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Spitzer</surname> <given-names>RL</given-names></name> <name><surname>Kroenke</surname> <given-names>K</given-names></name> <name><surname>Williams</surname> <given-names>J</given-names></name> <name><surname>L&#x00F6;we</surname> <given-names>B</given-names></name></person-group>. <article-title>A brief measure for assessing generalized anxiety disorder: the GAD-7</article-title>. <source>Arch Intern Med</source>. (<year>2006</year>) <volume>166</volume>:<fpage>1092</fpage>&#x2013;<lpage>7</lpage>. doi: <pub-id pub-id-type="doi">10.1001/archinte.166.10.1092</pub-id>, PMID: <pub-id pub-id-type="pmid">16717171</pub-id></citation></ref>
<ref id="ref41"><label>41.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Aljaberi</surname> <given-names>MA</given-names></name> <name><surname>Alareqe</surname> <given-names>NA</given-names></name> <name><surname>Alsalahi</surname> <given-names>A</given-names></name> <name><surname>Qasem</surname> <given-names>MA</given-names></name> <name><surname>Noman</surname> <given-names>S</given-names></name> <name><surname>Uzir</surname> <given-names>MUH</given-names></name> <etal/></person-group>. <article-title>A cross-sectional study on the impact of the COVID-19 pandemic on psychological outcomes: multiple indicators and multiple causes modeling</article-title>. <source>PLoS One</source>. (<year>2022</year>) <volume>17</volume>:<fpage>e0277368</fpage>. doi: <pub-id pub-id-type="doi">10.1371/journal.pone.0277368</pub-id>, PMID: <pub-id pub-id-type="pmid">36350838</pub-id></citation></ref>
<ref id="ref42"><label>42.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kroenke</surname> <given-names>K</given-names></name> <name><surname>Spitzer</surname> <given-names>RL</given-names></name> <name><surname>Williams</surname> <given-names>JB</given-names></name></person-group>. <article-title>The PHQ-9: validity of a brief depression severity measure</article-title>. <source>J Gen Intern Med</source>. (<year>2001</year>) <volume>16</volume>:<fpage>606</fpage>&#x2013;<lpage>13</lpage>. doi: <pub-id pub-id-type="doi">10.1046/j.1525-1497.2001.016009606.x</pub-id>, PMID: <pub-id pub-id-type="pmid">11556941</pub-id></citation></ref>
<ref id="ref43"><label>43.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hu</surname> <given-names>Y</given-names></name> <name><surname>Chen</surname> <given-names>Y</given-names></name> <name><surname>Zheng</surname> <given-names>Y</given-names></name> <name><surname>You</surname> <given-names>C</given-names></name> <name><surname>Tan</surname> <given-names>J</given-names></name> <name><surname>Hu</surname> <given-names>L</given-names></name> <etal/></person-group>. <article-title>Factors related to mental health of inpatients with COVID-19 in Wuhan, China</article-title>. <source>Brain Behav Immun</source>. (<year>2020</year>) <volume>89</volume>:<fpage>587</fpage>&#x2013;<lpage>93</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.bbi.2020.07.016</pub-id>, PMID: <pub-id pub-id-type="pmid">32681866</pub-id></citation></ref>
<ref id="ref44"><label>44.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zhang</surname> <given-names>H</given-names></name> <name><surname>Xiao</surname> <given-names>Y</given-names></name> <name><surname>Dai</surname> <given-names>T</given-names></name> <name><surname>Li</surname> <given-names>Q</given-names></name> <name><surname>Huang</surname> <given-names>L</given-names></name> <name><surname>Huang</surname> <given-names>X</given-names></name> <etal/></person-group>. <article-title>A cross-sectional study on burnout and its individual and environmental correlates among hepatological surgery nurses in Hunan Province, China</article-title>. <source>PLoS One</source>. (<year>2023</year>) <volume>18</volume>:<fpage>e0283373</fpage>. doi: <pub-id pub-id-type="doi">10.1371/journal.pone.0283373</pub-id>, PMID: <pub-id pub-id-type="pmid">36952501</pub-id></citation></ref>
<ref id="ref45"><label>45.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Yue</surname> <given-names>Z</given-names></name> <name><surname>Qin</surname> <given-names>Y</given-names></name> <name><surname>Li</surname> <given-names>Y</given-names></name> <name><surname>Wang</surname> <given-names>J</given-names></name> <name><surname>Nicholas</surname> <given-names>S</given-names></name> <name><surname>Maitland</surname> <given-names>E</given-names></name> <etal/></person-group>. <article-title>Empathy and burnout in medical staff: mediating role of job satisfaction and job commitment</article-title>. <source>BMC Public Health</source>. (<year>2022</year>) <volume>22</volume>:<fpage>1033</fpage>. doi: <pub-id pub-id-type="doi">10.1186/s12889-022-13405-4</pub-id>, PMID: <pub-id pub-id-type="pmid">35606769</pub-id></citation></ref>
<ref id="ref46"><label>46.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Bordoagni</surname> <given-names>G</given-names></name> <name><surname>Fino</surname> <given-names>E</given-names></name> <name><surname>Agostini</surname> <given-names>A</given-names></name></person-group>. <article-title>Burnout, attachment and Mentalization in nursing students and nurse professionals</article-title>. <source>Healthcare (Basel)</source>. (<year>2021</year>) <volume>9</volume>:<fpage>1576</fpage>. doi: <pub-id pub-id-type="doi">10.3390/healthcare9111576</pub-id>, PMID: <pub-id pub-id-type="pmid">34828621</pub-id></citation></ref>
<ref id="ref47"><label>47.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Gerbing</surname> <given-names>DW</given-names></name> <name><surname>Anderson</surname> <given-names>JC</given-names></name></person-group>. <article-title>An updated paradigm for scale development incorporating unidimensionality and its assessment</article-title>. <source>J Mark Res</source>. (<year>1988</year>) <volume>25</volume>:<fpage>186</fpage>&#x2013;<lpage>92</lpage>. doi: <pub-id pub-id-type="doi">10.1177/002224378802500207</pub-id></citation></ref>
<ref id="ref48"><label>48.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hooper</surname> <given-names>D</given-names></name> <name><surname>Mullen</surname> <given-names>J</given-names></name> <name><surname>Hooper</surname> <given-names>D</given-names></name></person-group>. <article-title>Structural equation modeling: guidelines for determining model fit</article-title>. <source>Electron J Bus Res Methods</source>. (<year>2008</year>) <volume>6</volume>:<fpage>53</fpage>&#x2013;<lpage>60</lpage>. doi: <pub-id pub-id-type="doi">10.3109/03005364000000039</pub-id></citation></ref>
<ref id="ref49"><label>49.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Jarvis</surname> <given-names>CB</given-names></name> <name><surname>MacKenzie</surname> <given-names>SB</given-names></name> <name><surname>Podsakoff</surname> <given-names>PM</given-names></name></person-group>. <article-title>A critical review of construct indicators and measurement model misspecification in marketing and consumer research</article-title>. <source>J Consum Res</source>. (<year>2003</year>) <volume>30</volume>:<fpage>199</fpage>&#x2013;<lpage>218</lpage>. doi: <pub-id pub-id-type="doi">10.1086/376806</pub-id></citation></ref>
<ref id="ref50"><label>50.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Mac Kenzie</surname> <given-names>SB</given-names></name> <name><surname>Podsakoff</surname> <given-names>PM</given-names></name> <name><surname>Jarvis</surname> <given-names>CB</given-names></name></person-group>. <article-title>The problem of measurement model misspecification in behavioral and organizational research and some recommended solutions</article-title>. <source>J Appl Psychol</source>. (<year>2005</year>) <volume>90</volume>:<fpage>710</fpage>&#x2013;<lpage>30</lpage>. doi: <pub-id pub-id-type="doi">10.1037/0021-9010.90.4.710</pub-id>, PMID: <pub-id pub-id-type="pmid">16060788</pub-id></citation></ref>
<ref id="ref51"><label>51.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sobel</surname> <given-names>ME</given-names></name></person-group>. <article-title>Asymptotic confidence intervals for indirect effects in structural equation models</article-title>. <source>Sociol Methodol</source>. (<year>1982</year>) <volume>13</volume>:<fpage>290</fpage>&#x2013;<lpage>312</lpage>. doi: <pub-id pub-id-type="doi">10.2307/270723</pub-id></citation></ref>
<ref id="ref52"><label>52.</label> <citation citation-type="book"><person-group person-group-type="author"><name><surname>Mac Kinnon</surname> <given-names>DP</given-names></name></person-group>. <source>Introduction to statistical mediation analysis</source>. <publisher-loc>New York</publisher-loc>: <publisher-name>Routledge</publisher-name> (<year>2008</year>).</citation></ref>
<ref id="ref53"><label>53.</label> <citation citation-type="book"><person-group person-group-type="author"><name><surname>Kline</surname> <given-names>RB</given-names></name></person-group>. <source>Principles and practice of structural equation modeling</source>. <edition>2nd</edition> ed. <publisher-loc>New York</publisher-loc>: <publisher-name>Guilford Press</publisher-name> (<year>2005</year>).</citation></ref>
<ref id="ref54"><label>54.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Carmines</surname> <given-names>E</given-names></name> <name><surname>Mciver</surname> <given-names>J</given-names></name></person-group>. <article-title>Analyzing models with unobserved variables: analysis of covariance structures</article-title>. <source>Soc Meas Current Issues</source>. (<year>1981</year>) <volume>10</volume>:<fpage>65</fpage>&#x2013;<lpage>115</lpage>. doi: 10.117/0049124183011003003</citation></ref>
<ref id="ref55"><label>55.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Bentler</surname> <given-names>PM</given-names></name></person-group>. <article-title>Comfirmatory factor analysis via noniterative estimation: a fast, inexpensive method</article-title>. <source>J Mark Res</source>. (<year>1983</year>) <volume>19</volume>:<fpage>417</fpage>&#x2013;<lpage>24</lpage>. doi: <pub-id pub-id-type="doi">10.1177/002224378201900403</pub-id></citation></ref>
<ref id="ref56"><label>56.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Browne</surname> <given-names>MW</given-names></name> <name><surname>Cudeck</surname> <given-names>R</given-names></name></person-group>. <article-title>Alternative ways of assessing model fit</article-title>. <source>Sociol Methods Res</source>. (<year>1993</year>) <volume>154</volume>:<fpage>132</fpage>&#x2013;<lpage>62</lpage>. doi: <pub-id pub-id-type="doi">10.1177/004912419021002005</pub-id></citation></ref>
<ref id="ref57"><label>57.</label> <citation citation-type="book"><person-group person-group-type="author"><name><surname>Hair</surname> <given-names>JF</given-names></name></person-group>. <source>Multivariate Data Analysis</source>. <edition>7th</edition> ed. <publisher-loc>NJ</publisher-loc>: <publisher-name>Prentice Hall</publisher-name> (<year>2009</year>).</citation></ref>
<ref id="ref58"><label>58.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Fornell</surname> <given-names>C</given-names></name> <name><surname>Lacker</surname> <given-names>D</given-names></name></person-group>. <article-title>Evaluating structural equation models with unobservable variables and measurement error</article-title>. <source>J Mark Res</source>. (<year>1981</year>) <volume>18</volume>:<fpage>39</fpage>&#x2013;<lpage>50</lpage>. doi: <pub-id pub-id-type="doi">10.1177/002224378101800104</pub-id>, PMID: <pub-id pub-id-type="pmid">33691717</pub-id></citation></ref>
<ref id="ref59"><label>59.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Mac Callum</surname> <given-names>RC</given-names></name> <name><surname>Hong</surname> <given-names>S</given-names></name></person-group>. <article-title>Power analysis in covariance structure modeling using GFI and AGFI</article-title>. <source>Multivar Behav Res</source>. (<year>1997</year>) <volume>32</volume>:<fpage>193</fpage>&#x2013;<lpage>210</lpage>. doi: <pub-id pub-id-type="doi">10.1207/s15327906mbr3202_5</pub-id>, PMID: <pub-id pub-id-type="pmid">21964221</pub-id></citation></ref>
<ref id="ref60"><label>60.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Na</surname> <given-names>C</given-names></name> <name><surname>Xin-sheng</surname> <given-names>W</given-names></name> <name><surname>Xiang-hua</surname> <given-names>C</given-names></name> <name><surname>Liqi</surname> <given-names>T</given-names></name> <name><surname>Jiangfeng</surname> <given-names>L</given-names></name> <name><surname>Li</surname> <given-names>Y</given-names></name> <etal/></person-group>. <article-title>Study on the influencing factors of nurses&#x2019; job burnout in Rizhao City under COVID- 19 epidemic: based on the analysis of structural equation model</article-title>. <source>Chin Hosp Manag</source>. (<year>2021</year>) <volume>41</volume>:<fpage>84</fpage>&#x2013;<lpage>7</lpage>.</citation></ref>
<ref id="ref61"><label>61.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Murat</surname> <given-names>M</given-names></name> <name><surname>K&#x00F6;se</surname> <given-names>S</given-names></name> <name><surname>Sava&#x015F;er</surname> <given-names>S</given-names></name></person-group>. <article-title>Determination of stress, depression and burnout levels of front-line nurses during the COVID-19 pandemic</article-title>. <source>Int J Ment Health Nurs</source>. (<year>2021</year>) <volume>30</volume>:<fpage>533</fpage>&#x2013;<lpage>43</lpage>. doi: <pub-id pub-id-type="doi">10.1111/inm.12818</pub-id>, PMID: <pub-id pub-id-type="pmid">33222350</pub-id></citation></ref>
<ref id="ref62"><label>62.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Jalili</surname> <given-names>M</given-names></name> <name><surname>Niroomand</surname> <given-names>M</given-names></name> <name><surname>Hadavand</surname> <given-names>F</given-names></name> <name><surname>Zeinali</surname> <given-names>K</given-names></name> <name><surname>Fotouhi</surname> <given-names>A</given-names></name></person-group>. <article-title>Burnout among healthcare professionals during COVID-19 pandemic: a cross-sectional study</article-title>. <source>Int Arch Arbeitsmed</source>. (<year>2021</year>) <volume>94</volume>:<fpage>1345</fpage>&#x2013;<lpage>52</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s00420-021-01695-x</pub-id>, PMID: <pub-id pub-id-type="pmid">33864490</pub-id></citation></ref>
<ref id="ref63"><label>63.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Rizzo</surname> <given-names>A</given-names></name> <name><surname>Y&#x0131;ld&#x0131;r&#x0131;m</surname> <given-names>M</given-names></name> <name><surname>&#x00D6;ztekin</surname> <given-names>GG</given-names></name> <name><surname>Carlo</surname> <given-names>AD</given-names></name> <name><surname>Nucera</surname> <given-names>G</given-names></name> <name><surname>Szarpak</surname> <given-names>&#x0141;</given-names></name> <etal/></person-group>. <article-title>Nurse burnout before and during the COVID-19 pandemic: a systematic comparative review</article-title>. <source>Front Public Health</source>. (<year>2023</year>) <volume>11</volume>:<fpage>1225431</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fpubh.2023.1225431</pub-id>, PMID: <pub-id pub-id-type="pmid">37732086</pub-id></citation></ref>
<ref id="ref64"><label>64.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Nucera</surname> <given-names>G</given-names></name> <name><surname>Chirico</surname> <given-names>F</given-names></name> <name><surname>Yildirim</surname> <given-names>M</given-names></name> <name><surname>Szarpak</surname> <given-names>L</given-names></name> <name><surname>Magnavita</surname> <given-names>N</given-names></name></person-group>. <article-title>Addressing burnout and PTSD among paramedics and emergency staff after the COVID-19 pandemic: the role of occupational health services and workplace health promotion programs</article-title>. <source>Disaster Emerg Med J</source>. (<year>2023</year>) <volume>8</volume>:<fpage>131</fpage>&#x2013;<lpage>33</lpage>. doi: <pub-id pub-id-type="doi">10.5603/DEMJ.a2023.0031</pub-id></citation></ref>
<ref id="ref65"><label>65.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Denning</surname> <given-names>M</given-names></name> <name><surname>Goh</surname> <given-names>ET</given-names></name> <name><surname>Tan</surname> <given-names>B</given-names></name> <name><surname>Kanneganti</surname> <given-names>A</given-names></name> <name><surname>Almonte</surname> <given-names>M</given-names></name> <name><surname>Scott</surname> <given-names>A</given-names></name> <etal/></person-group>. <article-title>Determinants of burnout and other aspects of psychological well-being in healthcare workers during the Covid-19 pandemic: a multinational cross-sectional study</article-title>. <source>PLoS One</source>. (<year>2021</year>) <volume>16</volume>:<fpage>e0238666</fpage>. doi: <pub-id pub-id-type="doi">10.1371/journal.pone.0238666</pub-id>, PMID: <pub-id pub-id-type="pmid">33861739</pub-id></citation></ref>
<ref id="ref66"><label>66.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Martins</surname> <given-names>V</given-names></name> <name><surname>Serr&#x00E3;o</surname> <given-names>C</given-names></name> <name><surname>Teixeira</surname> <given-names>A</given-names></name> <name><surname>Castro</surname> <given-names>L</given-names></name> <name><surname>Duarte</surname> <given-names>I</given-names></name></person-group>. <article-title>The mediating role of life satisfaction in the relationship between depression, anxiety, stress and burnout among Portuguese nurses during COVID-19 pandemic</article-title>. <source>BMC Nurs</source>. (<year>2022</year>) <volume>21</volume>:<fpage>188</fpage>. doi: <pub-id pub-id-type="doi">10.1186/s12912-022-00958-3</pub-id>, PMID: <pub-id pub-id-type="pmid">35850892</pub-id></citation></ref>
<ref id="ref67"><label>67.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Serr&#x00E3;o</surname> <given-names>C</given-names></name> <name><surname>Duarte</surname> <given-names>I</given-names></name> <name><surname>Castro</surname> <given-names>L</given-names></name> <name><surname>Teixeira</surname> <given-names>A</given-names></name></person-group>. <article-title>Burnout and depression in Portuguese healthcare workers during the COVID-19 pandemic-the mediating role of psychological resilience</article-title>. <source>Int J Environ Res Public Health</source>. (<year>2021</year>) <volume>18</volume>:<fpage>636</fpage>. doi: <pub-id pub-id-type="doi">10.3390/ijerph18020636</pub-id>, PMID: <pub-id pub-id-type="pmid">33451083</pub-id></citation></ref>
<ref id="ref68"><label>68.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sun</surname> <given-names>Y</given-names></name> <name><surname>Liu</surname> <given-names>F</given-names></name> <name><surname>Wang</surname> <given-names>Y</given-names></name> <name><surname>Zhou</surname> <given-names>M</given-names></name> <name><surname>Yang</surname> <given-names>B</given-names></name> <name><surname>Cao</surname> <given-names>F</given-names></name></person-group>. <article-title>Mindfulness improves health worker's occupational burnout: the moderating effects of anxiety and depression</article-title>. <source>Int Arch Arbeitsmed</source>. (<year>2021</year>) <volume>94</volume>:<fpage>1297</fpage>&#x2013;<lpage>305</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s00420-021-01685-z</pub-id>, PMID: <pub-id pub-id-type="pmid">33787983</pub-id></citation></ref>
<ref id="ref69"><label>69.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Chen</surname> <given-names>J</given-names></name> <name><surname>Li</surname> <given-names>J</given-names></name> <name><surname>Cao</surname> <given-names>B</given-names></name> <name><surname>Wang</surname> <given-names>F</given-names></name> <name><surname>Luo</surname> <given-names>L</given-names></name> <name><surname>Xu</surname> <given-names>J</given-names></name></person-group>. <article-title>Mediating effects of self-efficacy, coping, burnout, and social support between job stress and mental health among young Chinese nurses</article-title>. <source>J Adv Nurs</source>. (<year>2020</year>) <volume>76</volume>:<fpage>163</fpage>&#x2013;<lpage>73</lpage>. doi: <pub-id pub-id-type="doi">10.1111/jan.14208</pub-id>, PMID: <pub-id pub-id-type="pmid">31566806</pub-id></citation></ref>
<ref id="ref70"><label>70.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Tucker</surname> <given-names>S</given-names></name> <name><surname>Melnyk</surname> <given-names>B</given-names></name> <name><surname>Corona</surname> <given-names>L</given-names></name> <name><surname>Corona</surname> <given-names>C</given-names></name> <name><surname>Roberts</surname> <given-names>H</given-names></name></person-group>. <article-title>A model of depression in university faculty, staff, and health care workers using an automated mental health screening tool</article-title>. <source>J Occup Environ Med</source>. (<year>2022</year>) <volume>64</volume>:<fpage>607</fpage>&#x2013;<lpage>13</lpage>. doi: <pub-id pub-id-type="doi">10.1097/JOM.0000000000002538</pub-id>, PMID: <pub-id pub-id-type="pmid">35543651</pub-id></citation></ref>
<ref id="ref71"><label>71.</label> <citation citation-type="book"><person-group person-group-type="author"><name><surname>Diamantopoulos</surname> <given-names>A</given-names></name> <name><surname>Siguaw</surname> <given-names>JA</given-names></name></person-group>. <source>Introducing LISREL: a guide for the uninitiated</source>. <publisher-loc>London</publisher-loc>: <publisher-name>SAGE</publisher-name> (<year>2000</year>).</citation></ref>
<ref id="ref72"><label>72.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Noar</surname> <given-names>SM</given-names></name></person-group>. <article-title>The role of structural equation modeling in scale development</article-title>. <source>Struct Equ Model Multidiscip J</source>. (<year>2003</year>) <volume>10</volume>:<fpage>622</fpage>&#x2013;<lpage>47</lpage>. doi: <pub-id pub-id-type="doi">10.1207/S15328007SEM1004_8</pub-id>, PMID: <pub-id pub-id-type="pmid">37693331</pub-id></citation></ref>
<ref id="ref73"><label>73.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Browne</surname> <given-names>MW</given-names></name> <name><surname>Cudeck</surname> <given-names>R</given-names></name></person-group>. <article-title>Single sample cross-validation indices for covariance structures</article-title>. <source>Multivar Behav Res</source>. (<year>1989</year>) <volume>24</volume>:<fpage>445</fpage>&#x2013;<lpage>55</lpage>. doi: <pub-id pub-id-type="doi">10.1207/s15327906mbr2404_4</pub-id></citation></ref>
<ref id="ref74"><label>74.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Diamantopoulos</surname> <given-names>A</given-names></name></person-group>. <article-title>Modelling with LISREL: a guide for the uninitiated</article-title>. <source>J Mark Manag</source>. (<year>1994</year>) <volume>10</volume>:<fpage>105</fpage>&#x2013;<lpage>36</lpage>. doi: <pub-id pub-id-type="doi">10.1080/0267257X.1994.9964263</pub-id></citation></ref>
<ref id="ref75"><label>75.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kroenke</surname> <given-names>K</given-names></name> <name><surname>Spitzer</surname> <given-names>RL</given-names></name> <name><surname>Williams</surname> <given-names>JB</given-names></name> <name><surname>L&#x00F6;we</surname> <given-names>B</given-names></name></person-group>. <article-title>The patient health questionnaire somatic, anxiety, and depressive symptom scales: a systematic review</article-title>. <source>Gen Hosp Psychiatry</source>. (<year>2010</year>) <volume>32</volume>:<fpage>345</fpage>&#x2013;<lpage>59</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.genhosppsych.2010.03.006</pub-id>, PMID: <pub-id pub-id-type="pmid">20633738</pub-id></citation></ref>
<ref id="ref76"><label>76.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Fried</surname> <given-names>EI</given-names></name></person-group>. <article-title>Moving forward: how depression heterogeneity hinders progress in treatment and research</article-title>. <source>Expert Rev Neurother</source>. (<year>2017</year>) <volume>17</volume>:<fpage>423</fpage>&#x2013;<lpage>5</lpage>. doi: <pub-id pub-id-type="doi">10.1080/14737175.2017.1307737</pub-id>, PMID: <pub-id pub-id-type="pmid">28293960</pub-id></citation></ref>
</ref-list>
<sec id="sec30">
<title>Glossary</title>
<table-wrap position="anchor" id="tab8">
<table frame="hsides" rules="groups">
<tbody>
<tr>
<td align="left" valign="top">SEM</td>
<td align="left" valign="top">Structural Equation Model</td>
</tr>
<tr>
<td align="left" valign="top">COVID-19</td>
<td align="left" valign="top">Corona Virus Disease 2019</td>
</tr>
<tr>
<td align="left" valign="top">PTSD</td>
<td align="left" valign="top">Post-Traumatic Stress Disorder</td>
</tr>
<tr>
<td align="left" valign="top">GAD-7</td>
<td align="left" valign="top">the 7-item Generalized Anxiety Disorder Questionnaire</td>
</tr>
<tr>
<td align="left" valign="top">PHQ-9</td>
<td align="left" valign="top">Patient Health Questionnaire-9</td>
</tr>
<tr>
<td align="left" valign="top">MBI</td>
<td align="left" valign="top">Maslach Burnout Inventory</td>
</tr>
<tr>
<td align="left" valign="top">KMO</td>
<td align="left" valign="top">Kaiser-Meyer-Olkin</td>
</tr>
<tr>
<td align="left" valign="top">SMC</td>
<td align="left" valign="top">Square Multiple Correlation</td>
</tr>
<tr>
<td align="left" valign="top">MI</td>
<td align="left" valign="top">Modification Index</td>
</tr>
<tr>
<td align="left" valign="top">CFA</td>
<td align="left" valign="top">Confirmatory Factor Analysis</td>
</tr>
<tr>
<td align="left" valign="top">CR</td>
<td align="left" valign="top">Composite Reliability</td>
</tr>
<tr>
<td align="left" valign="top">AVE</td>
<td align="left" valign="top">Average Variance Extracted</td>
</tr>
<tr>
<td align="left" valign="top">&#x03C7;<sup>2</sup></td>
<td align="left" valign="top">Chi-square</td>
</tr>
<tr>
<td align="left" valign="top">&#x03C7;<sup>2</sup>/df</td>
<td align="left" valign="top">Normed Chi-square</td>
</tr>
<tr>
<td align="left" valign="top">GFI</td>
<td align="left" valign="top">Goodness of Fit Index</td>
</tr>
<tr>
<td align="left" valign="top">AGFI</td>
<td align="left" valign="top">Adjusted-Goodness of Fit Index</td>
</tr>
<tr>
<td align="left" valign="top">CFI</td>
<td align="left" valign="top">Comparative Fit Index</td>
</tr>
<tr>
<td align="left" valign="top">RMSEA</td>
<td align="left" valign="top">Root Mean Square Error of Approximation</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</back>
</article>