<?xml version="1.0"?>
<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>51</Volume>
      <Issue>12</Issue>
      <PubDate PubStatus="epublish">
        <Year>2022</Year>
        <Month>12</Month>
        <Day>17</Day>
      </PubDate>
    </Journal>
    <title locale="en_US">Factors Influencing the Eating Behaviors of Young Adults Using the 2013-2018 Korea National Health and Nutrition Examination Survey</title>
    <FirstPage>2742</FirstPage>
    <LastPage>2752</LastPage>
    <AuthorList>
      <Author>
        <FirstName>Myung-Ock</FirstName>
        <LastName>Chae</LastName>
        <affiliation locale="en_US">Department of Nursing, College of Health and Medical Sciences, Cheongju University, Cheongju, Republic of Korea</affiliation>
      </Author>
      <Author>
        <FirstName>Mi-Young</FirstName>
        <LastName>Park</LastName>
        <affiliation locale="en_US">Institute of Health and Environment, Graduate School of Public Health, Seoul National University, Seoul, Republic of Korea</affiliation>
      </Author>
    </AuthorList>
    <History>
      <PubDate PubStatus="received">
        <Year>2021</Year>
        <Month>11</Month>
        <Day>18</Day>
      </PubDate>
      <PubDate PubStatus="accepted">
        <Year>2022</Year>
        <Month>03</Month>
        <Day>17</Day>
      </PubDate>
    </History>
    <abstract locale="en_US">&#xA0;Background: There is a substantial gap in the eating behaviors between the sexes. We aimed to analyze the predictors of eating behaviors by sex in the young adult population.
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Methods: We used the data of the sixth and seventh Korea National Health and Nutrition Examination Survey conducted by the Korea Disease Control and Prevention Agency last 2013&#x2013;2018. Data from 2,502 women and 2,101 men aged 19&#x2013;29 yr were included in the analysis using frequency, percentage, x2-test, and multiple logistic regression.
&#xD;

Results: Education (0.612, CI=0.465~0.805), economic status (2.104, CI=1.435-3.086), marital status (3.162, CI=2.356~4.243), and household structure (0.403, CI=0.208~0.782) were identified to predict the frequency of dining-out in women, while marital status (0.302, CI=0.121~0.749), economic activity (1.969, CI=1.483~2.613), and household structure (0.243, CI=0.137~0.432) predicted dining-out frequency in men. The current smoking status predicted most eating behaviors, including breakfast skipping frequency (1.864, CI=1.318~2.637), use of supplements (2.062, CI=1.439~2.953), and use of nutrition labels (1.545, 1.084~2.204) for men. Meanwhile, nutrition labeling was used less in both men (0.550, CI=0.343~0.882) and women (0.646, CI=0.473~0.882) who subjective body recognition as obesity.
&#xD;

Conclusion: The factors that primarily predicted the frequency of dining out in young women and the behavior of breakfast skipping, use of nutrition labels, and frequency of dining-out in men can be used as foundational data for developing sex-specific intervention programs to improve eating behaviors.
&#xD;

&#xA0;</abstract>
    <web_url>https://ijph.tums.ac.ir/index.php/ijph/article/view/26930</web_url>
    <pdf_url>https://ijph.tums.ac.ir/index.php/ijph/article/download/26930/7805</pdf_url>
  </Article>
</Articles>
