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<Articles JournalTitle="Iranian Journal of Public Health">
  <Article>
    <Journal>
      <PublisherName>Tehran University of Medical Sciences</PublisherName>
      <JournalTitle>Iranian Journal of Public Health</JournalTitle>
      <Issn>2251-6085</Issn>
      <Volume>54</Volume>
      <Issue>8</Issue>
      <PubDate PubStatus="epublish">
        <Year>2025</Year>
        <Month>09</Month>
        <Day>02</Day>
      </PubDate>
    </Journal>
    <title locale="en_US">Macro Socioeconomic Determinants of Suicide in Iran: A Time Series Study during 1991-2023</title>
    <FirstPage>1786</FirstPage>
    <LastPage>1795</LastPage>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName>Maryam</FirstName>
        <LastName>Mokhtari</LastName>
        <affiliation locale="en_US">Department of Sociology, School of Human Sciences, Yasouj University, Yasouj, Iran</affiliation>
      </Author>
      <Author>
        <FirstName>Siroos</FirstName>
        <LastName>Ahmadi</LastName>
        <affiliation locale="en_US">Department of Sociology, School of Human Sciences, Yasouj University, Yasouj, Iran</affiliation>
      </Author>
    </AuthorList>
    <History>
      <PubDate PubStatus="received">
        <Year>2024</Year>
        <Month>10</Month>
        <Day>16</Day>
      </PubDate>
      <PubDate PubStatus="accepted">
        <Year>2025</Year>
        <Month>02</Month>
        <Day>06</Day>
      </PubDate>
    </History>
    <abstract locale="en_US">Background: Although suicide is ultimately committed by individuals, it is influenced by a wide range of factors, from micro to macro levels.
Methods: This time-series research examines the relationship between macro socioeconomic variables and the suicide rate from 1991 to 2023. The data were collected from the Statistical Center of Iran (SCI), the Central Bank of Iran (CBI), and the World Bank (WB). Time series charts were used to describe the data, and an autoregressive distributed lag (ARDL) model was employed for examining the relationship among variables using the Microfit 5 software.
Results: The results indicate a significant negative relationship between inflation, urban population, and women's participation in the labor force with suicide, but a significant positive relationship between mobile phone penetration and labor force participation with suicide rate. Furthermore, literacy and GDP per capita were not associated with the suicide rate.
Conclusion: Macro socioeconomic indicators impact on suicide rates. By better understanding the mechanism of this impact and appropriate planning, suicide rates can be reduced.</abstract>
    <web_url>https://ijph.tums.ac.ir/index.php/ijph/article/view/36937</web_url>
    <pdf_url>https://ijph.tums.ac.ir/index.php/ijph/article/download/36937/8633</pdf_url>
  </Article>
</Articles>
