<?xml version="1.0" encoding="UTF-8"?>
<ArticleSet>
  <Article>
    <Journal>
      <PublisherName>KMAN Publication Inc. (KMANPUB)</PublisherName>
      <JournalTitle>Applied Family Therapy Journal (AFTJ) </JournalTitle>
      <Issn>3041-8798</Issn>
      <Volume>7</Volume>
      <Issue>Serial Number 32</Issue>
      <PubDate PubStatus="epublish">
        <Year>2026</Year>
        <Month>03</Month>
        <Day>01</Day>
      </PubDate>
    </Journal>
    <ArticleTitle>Algorithmic Modeling of Caregiver Systemic Burden in Chronic Illness by Intersecting Partner Neuroticism and Dyadic Coping Mechanisms</ArticleTitle>
    <VernacularTitle>Algorithmic Modeling of Caregiver Systemic Burden in Chronic Illness by Intersecting Partner Neuroticism and Dyadic Coping Mechanisms</VernacularTitle>
    <FirstPage>1</FirstPage>
    <LastPage>11</LastPage>
    <ELocationID EIdType="doi">10.61838/kman.aftj.5269</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>2026</Year>
        <Month>01</Month>
        <Day>09</Day>
      </PubDate>
    </History>
    <Abstract>&lt;p&gt;&lt;strong&gt;Objective:&lt;/strong&gt; To develop an algorithmic model predicting caregiver systemic burden by evaluating the complex, non-linear intersections between a care-recipient’s neuroticism and the couple’s dyadic coping mechanisms.&lt;/p&gt;&#13;
&lt;p&gt;&lt;strong&gt;Methods and Materials:&lt;/strong&gt; A cross-sectional, dyadic study design was utilized, comprising 214 caregiver/care-recipient dyads managing chronic illness in Yerevan, Armenia. Psychometric data were collected using the Zarit Burden Interview (ZBI) for caregiver burden, the Big Five Inventory-2 (BFI-2) for care-recipient neuroticism, and the Dyadic Coping Inventory (DCI) for dyadic coping. Predictive modeling was conducted using a Gradient Boosting Machine (GBM) algorithm with the dataset partitioned into training ( ) and testing ( ) subsets, while SHapley Additive exPlanations (SHAP) were employed to extract feature importance and interaction effects.&lt;/p&gt;&#13;
&lt;p&gt;&lt;strong&gt;Findings:&lt;/strong&gt; The GBM model exhibited strong predictive performance, accounting for of the variance in caregiver systemic burden on the test set ( ), with a Root Mean Square Error ( ) of . SHAP analyses identified care-recipient neuroticism as the most potent predictor of burden (Mean ), followed by caregiver engagement in negative dyadic coping (Mean ) and illness duration (Mean ). Interaction analyses revealed that the detrimental impact of partner neuroticism was exponentially amplified by negative dyadic coping and significantly buffered by active supportive dyadic coping.&lt;/p&gt;&#13;
&lt;p&gt;&lt;strong&gt;Conclusion:&lt;/strong&gt; Algorithmic modeling effectively demonstrates that caregiver systemic burden is a deeply interdependent phenomenon, highlighting that the psychological toll of a partner’s neuroticism is highly conditional upon the couple’s underlying dyadic coping architecture.&lt;/p&gt;</Abstract>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">Caregiver systemic burden</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">chronic illness</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">dyadic coping</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">neuroticism</Param>
      </Object>
    </ObjectList>
    <ArchiveCopySource DocType="pdf">https://www.journals.kmanpub.com/index.php/aftj/article/download/5269/9576</ArchiveCopySource>
  </Article>
</ArticleSet>
