<?xml version="1.0"?>
<Articles JournalTitle="International Journal of Occupational Hygiene">
  <Article>
    <Journal>
      <PublisherName>Tehran University of Medical Sciences</PublisherName>
      <JournalTitle>International Journal of Occupational Hygiene</JournalTitle>
      <Issn>2008-5109</Issn>
      <Volume>12</Volume>
      <Issue>2</Issue>
      <PubDate PubStatus="epublish">
        <Year>2020</Year>
        <Month>07</Month>
        <Day>30</Day>
      </PubDate>
    </Journal>
    <title locale="en_US">Investigating the Association between Personality Traits and Mental Health with Accident Proneness in Iranian Male Workers of Chemical Industries</title>
    <FirstPage>122</FirstPage>
    <LastPage>131</LastPage>
    <AuthorList>
      <Author>
        <FirstName>Hamidreza</FirstName>
        <LastName>Pouragha</LastName>
        <affiliation locale="en_US">Tehran University of Medical Sciences</affiliation>
      </Author>
      <Author>
        <FirstName>Hassan</FirstName>
        <LastName>Ashayeri</LastName>
        <affiliation locale="en_US">Professor of Neurology and neuropsychology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran</affiliation>
      </Author>
      <Author>
        <FirstName>Abbas</FirstName>
        <LastName>Rahimi Foroushani</LastName>
        <affiliation locale="en_US">Professor of Biostatistics, Department of Epidemiology and Biostatistics, School of Public Health, Thoracic Research Center, Tehran University of Medical Sciences, Tehran, Iran.</affiliation>
      </Author>
      <Author>
        <FirstName>Mahsa</FirstName>
        <LastName>Naserpour</LastName>
        <affiliation locale="en_US">M.Sc. of Occupational Health, Shahid Beheshti University of medical sciences, Tehran, Iran</affiliation>
      </Author>
      <Author>
        <FirstName>Seyyed Jamalledin</FirstName>
        <LastName>Shahtaheri</LastName>
        <affiliation locale="en_US">Professor of Occupational Health, Department of Occupational Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran</affiliation>
      </Author>
    </AuthorList>
    <History>
      <PubDate PubStatus="received">
        <Year>2020</Year>
        <Month>08</Month>
        <Day>10</Day>
      </PubDate>
      <PubDate PubStatus="accepted">
        <Year>2020</Year>
        <Month>10</Month>
        <Day>22</Day>
      </PubDate>
    </History>
    <abstract locale="en_US">The purpose of this study was to investigate the association between five personality traits of Zuckerman theory and the General Mental Health Index between two groups of individuals in terms of accident proneness score and to present a predictive model of accident proneness trait in the studied population. This cross-sectional study was conducted on 270 Iranian male workers of chemical industries having work experience of at least one year and a maximum age of 45 years voluntarily participated in the research. The baseline data and background information of all participants were collected and they were asked to fill out the GHQ-28 questionnaire, Zuckerman-Kuhlman personality questionnaire, and TAS subscale of the Zuckerman Sensation-Seeking Scale-V (SSS-V). The results showed that work experience (p=0.002), marital status (p=0.041), social dysfunction (p=0.037), severe depression (p=0.023), and aggression hostility (p=0.020) were significantly varied between the two groups of accident-prone and non-accident-prone. Also, using the variables investigated by the binary logistic regression model, the attribute of having or not having accident proneness was predicted at R Square of 0.416. It was found that personality traits of Aggression Hostility and Psychological Symptom of Social Dysfunction and Severe Depression have associated with accident proneness in the population under study.</abstract>
    <web_url>https://ijoh.tums.ac.ir/index.php/ijoh/article/view/448</web_url>
    <pdf_url>https://ijoh.tums.ac.ir/index.php/ijoh/article/download/448/614</pdf_url>
  </Article>
</Articles>
rm is more than the recommended values. The sound level of wind turbines is sensitive to Wind speed changes and it is in a range of low frequencies and fluctuation once.</abstract>
    <web_url>https://ijoh.tums.ac.ir/index.php/ijoh/article/view/155</web_url>
    <pdf_url>https://ijoh.tums.ac.ir/index.php/ijoh/article/download/155/244</pdf_url>
  </Article>
</Articles>
