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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">IJPDS</journal-id>
      <journal-title-group>
        <journal-title>International Journal of Population Data Science</journal-title>
        <abbrev-journal-title>IJPDS</abbrev-journal-title>
      </journal-title-group>
      <issn pub-type="epub">2399-4908</issn>
      <publisher>
        <publisher-name>Swansea University</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.23889/ijpds.v10i3.3221</article-id>
      <article-id pub-id-type="publisher-id">10:3:188</article-id>
      <title-group>
        <article-title>Social and Demographic Determinants of Interpregnancy Weight Change: A
          Linkage of the Northern Ireland Longitudinal Study and Maternity Services System</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Lowry</surname>
            <given-names initials="E">Estelle</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Rowland</surname>
            <given-names initials="N">Neil</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</xref>
        </contrib>
      </contrib-group>
      <aff id="affil-1"><label>1</label><institution>Queens University Belfast, Belfast, United
        Kingdom</institution></aff>
      <pub-date>
        <day>01</day>
        <month>06</month>
        <year>2025</year>
      </pub-date>
      <pub-date date-type="collection" publication-format="electronic">
        <year>2025</year>
      </pub-date>
      <volume>8</volume>
      <issue>4</issue>
      <elocation-id>3221</elocation-id>
      <permissions>
        <license license-type="open-access"
          xlink:href="https://creativecommons.org/licences/by/4.0/">
          <license-p>This work is licenced under a Creative Commons Attribution 4.0 International
            License.</license-p>
        </license>
      </permissions>
      <self-uri xlink:href="https://ijpds.org/article/view/3221">This article is available from the
        IJPDS website at: https://ijpds.org/article/view/3221</self-uri>
    </article-meta>
  </front>
  <body>
    <sec>
      <title>Objective</title>
      <p>This study primarily aims to explore the change in risk profile of women giving birth in
        Northern Ireland, with a particular interest in socio-demographic determinants of
        interpregnancy weight change. Furthermore, the novel linkage of two data resources in
        Northern Ireland (NI) highlights the potential for transformative research in maternal
        health.</p>
    </sec>
    <sec>
      <title>Methods</title>
      <p>The NI Maternity Services System (NIMATS) provides access to biological variables collected
        during the gestational period. The NI Longitudinal Study (NILS) is a rich source of Census
        information providing a demographic, social and economic background we would not otherwise
        obtain from NIMATS alone. We used descriptive statistics to explore demographic, social and
        economic determinants of maternal obesity. We then identified a sub-population of women with
        more than one pregnancy and categorised according to whether they have lost weight, gained
        weight or remained the same between pregnancies. Logistic regression was used to explore
        socio-economic and demographic correlates of interpregnancy weight changes.</p>
    </sec>
    <sec>
      <title>Results</title>
      <p>The data enabled analysis of over 44,000 pregnancies spanning an eight-year period. A shift
        in risk factors such as older age, higher BMI, and proportion with a metabolic disorder can
        be observed during this short time. These were found to have associations with birth
        outcomes such as delivery method and birth weight. Furthermore, the linkage of these two
        datasets has also allowed us to link pregnancies to the same mother, enabling exploration of
        weight changes during the interpregnancy period(s).</p>
    </sec>
    <sec>
      <title>Conclusion</title>
      <p>Given the increased demand in maternity services during recent years, research in maternal
        socio-demographic profiles facilitated by the unique linkage of NILS and NIMATS has the
        potential to provide important insights. Results can also highlight socio-economic groups
        most vulnerable to weight gain between pregnancies and help develop targeted interventions.</p>
    </sec>
  </body>
</article>