<?xml version="1.0" encoding="UTF-8"?>
<ArticleSet>
  <Article>
    <Journal>
      <PublisherName>KMAN Publication Inc. (KMANPUB)</PublisherName>
      <JournalTitle>تست</JournalTitle>
      <Issn>3060-6713</Issn>
      <Volume>3</Volume>
      <Issue>Serial Number 9</Issue>
      <PubDate PubStatus="epublish">
        <Year>2025</Year>
        <Month>01</Month>
        <Day>01</Day>
      </PubDate>
    </Journal>
    <ArticleTitle>Predicting Adaptive Behavior by Self-Advocacy and Resilience in Adults with ADHD</ArticleTitle>
    <VernacularTitle>Predicting Adaptive Behavior by Self-Advocacy and Resilience in Adults with ADHD</VernacularTitle>
    <FirstPage>36</FirstPage>
    <LastPage>42</LastPage>
    <ELocationID EIdType="doi">10.61838/kman.prien.3.1.5</ELocationID>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName></FirstName>
        <LastName></LastName>
        <Affiliation></Affiliation>
      </Author>
    </AuthorList>
    <PublicationType>Journal Article</PublicationType>
    <Abstract>&lt;p class="Abstract"&gt;&lt;span lang="EN-GB"&gt;This study aimed to examine the predictive relationship between self-advocacy, resilience, and adaptive behavior in adults with ADHD. A correlational descriptive research design was used, with a sample of 400 adults with ADHD recruited through online platforms and mental health clinics. Participants completed standardized assessments, including the Adaptive Behavior Assessment System-Third Edition (ABAS-3) for adaptive behavior, the Self-Advocacy Measure for Youth and Adults (SAMYA), and the Connor-Davidson Resilience Scale (CD-RISC). Data were analyzed using Pearson correlation and multiple linear regression in SPSS-27 to evaluate the relationships between self-advocacy, resilience, and adaptive behavior. Descriptive statistics indicated moderate levels of adaptive behavior (M = 85.32, SD = 9.87), self-advocacy (M = 60.41, SD = 11.56), and resilience (M = 69.87, SD = 14.92). Pearson correlation results revealed significant positive associations between adaptive behavior and both self-advocacy (r = 0.58, p &amp;lt; 0.01) and resilience (r = 0.62, p &amp;lt; 0.01). Multiple linear regression showed that self-advocacy and resilience collectively accounted for 44% of the variance in adaptive behavior (F(2, 397) = 45.82, p &amp;lt; 0.01, R² = 0.44). However, when examined separately, self-advocacy (B = -0.09, p = 0.024) had a significant negative predictive effect, while resilience (B = -0.022, p = 0.502) was not a significant predictor. The findings suggest that while both self-advocacy and resilience are correlated with adaptive behavior, their individual predictive effects differ, with self-advocacy playing a more prominent role. These results highlight the importance of fostering self-advocacy skills in adults with ADHD to enhance adaptive functioning. Further research is needed to explore moderating factors that may influence these relationships.&lt;/span&gt;&lt;/p&gt;</Abstract>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">ADHD</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">adaptive behavior</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">self-advocacy</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">resilience</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">adults with ADHD</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">psychological predictors</Param>
      </Object>
    </ObjectList>
    <ArchiveCopySource DocType="pdf">https://journals.kmanpub.com/index.php/prien/article/download/3779/6179</ArchiveCopySource>
  </Article>
</ArticleSet>
