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  <Article>
    <Journal>
      <PublisherName>KMAN Publication Inc. (KMANPUB)</PublisherName>
      <JournalTitle>KMAN Counseling &amp; Psychology Nexus</JournalTitle>
      <Issn>3041-9026</Issn>
      <Volume>4</Volume>
      <Issue>Serial Number 6</Issue>
      <PubDate PubStatus="epublish">
        <Year>2026</Year>
        <Month>01</Month>
        <Day>10</Day>
      </PubDate>
    </Journal>
    <ArticleTitle>Prediction of Burnout Among Caregivers in Elderly Care Centers Based on Psychological Capital and Empathy: The Mediating Role of Caregiving Burden</ArticleTitle>
    <VernacularTitle>Prediction of Burnout Among Caregivers in Elderly Care Centers Based on Psychological Capital and Empathy: The Mediating Role of Caregiving Burden</VernacularTitle>
    <FirstPage>1</FirstPage>
    <LastPage>12</LastPage>
    <ELocationID EIdType="doi">10.61838/kman.ooc.psynexus.4888</ELocationID>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName></FirstName>
        <LastName></LastName>
        <Affiliation></Affiliation>
      </Author>
      <Author>
        <FirstName></FirstName>
        <LastName></LastName>
        <Affiliation></Affiliation>
      </Author>
      <Author>
        <FirstName></FirstName>
        <LastName></LastName>
        <Affiliation></Affiliation>
      </Author>
    </AuthorList>
    <PublicationType>Journal Article</PublicationType>
    <History>
      <PubDate PubStatus="received">
        <Year>2025</Year>
        <Month>09</Month>
        <Day>28</Day>
      </PubDate>
    </History>
    <Abstract>&lt;p&gt;The aim of the present study was to examine the fit of a structural model for predicting burnout among caregivers in elderly care centers based on psychological capital and empathy, with the mediating role of caregiving burden. The statistical population consisted of all caregivers employed in elderly care centers located in the city of Karaj in 2025 who had more than five months of experience in caring for older adults. A non-random, voluntary sampling method was used, and due to adequate access to the target population, a relatively large sample size (N = 200) was selected to ensure greater precision in structural equation modeling analyses. In addition, according to Kline (2011), in structural equation modeling, the sample size should be at least five to ten times the number of observed variables. The research method was correlational using structural equation modeling. Data were collected using the Maslach Burnout Inventory (Maslach, 1985), the Psychological Capital Questionnaire developed by Luthans et al. (2007), the Empathy Quotient Questionnaire by Baron-Cohen (2004), and the Caregiver Burden Questionnaire by Novak and Guest (1989). Data analysis was conducted using the structural equation modeling (SEM) statistical approach. The results indicated that the indirect path coefficient between psychological capital and burnout (β = −0.238, p = 0.010), on the one hand, and the indirect path coefficient between empathy and burnout (β = −0.100, p = 0.003), on the other hand, were both negative and statistically significant. These findings indicate that caregiving burden significantly and negatively mediates the relationship between psychological capital and empathy with burnout among caregivers in elderly care centers.&lt;/p&gt;</Abstract>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">burnout</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">caregivers</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">older adults</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">psychological capital</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">empathy</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">caregiving burden</Param>
      </Object>
    </ObjectList>
    <ArchiveCopySource DocType="pdf">https://journals.kmanpub.com/index.php/psychnexus/article/download/4888/8793</ArchiveCopySource>
  </Article>
</ArticleSet>
