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  dtd-version="1.2" article-type="abstract">
  <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.v10i3.3192</article-id>
      <article-id pub-id-type="publisher-id">10:3:160</article-id>
      <title-group>
        <article-title>Characterising residential mobility during childhood: comparing north-east
          London and Wales using linked electronic health records</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>North</surname>
            <given-names initials="L">Laura</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Firman</surname>
            <given-names initials="N">Nicola</given-names>
          </name>
          <xref ref-type="aff" rid="affil-2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Lyons</surname>
            <given-names initials="J">Jane</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Wilk</surname>
            <given-names initials="M">Marta</given-names>
          </name>
          <xref ref-type="aff" rid="affil-2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Griffiths</surname>
            <given-names initials="L">Lucy</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Dezateux</surname>
            <given-names initials="C">Carol</given-names>
          </name>
          <xref ref-type="aff" rid="affil-2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Johnson</surname>
            <given-names initials="R">Rhodri</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Bailey</surname>
            <given-names initials="R">Rowena</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Davies</surname>
            <given-names initials="J">Jo</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Harper</surname>
            <given-names initials="G">Gill</given-names>
          </name>
          <xref ref-type="aff" rid="affil-2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Fry</surname>
            <given-names initials="R">Richard</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</xref>
        </contrib>
      </contrib-group>
      <aff id="affil-1"><label>1</label><institution>Swansea University, Swansea, United Kingdom</institution></aff>
      <aff id="affil-2"><label>2</label><institution>Queen Mary University of London, London, 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>3192</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/3192">This article is available from the
        IJPDS website at: https://ijpds.org/article/view/3192</self-uri>
    </article-meta>
  </front>
  <body>
    <sec>
      <title>Objectives</title>
      <p>Understanding the sociodemographic drivers of childhood residential mobility is important
        due to associations with adverse health and educational outcomes. Using electronic health
        records (EHRs) and residential anonymised linkage fields (RALFs), we examined if household
        characteristics are associated with residential mobility in two distinct geographies: Wales
        and north-east London (NEL).</p>
    </sec>
    <sec>
      <title>Methods</title>
      <p>We carried out an observational longitudinal study using EHRs from the SAIL Databank
        (Wales) and Discovery Data Service (NEL). We included 398,959 (51.3% male) children in Wales
        and 240,509 (51.0% male) children in NEL, aged 0-13 years on 1/1/2015, with complete
        follow-up until 31/12/2019. We defined residential mobility as at least one change in RALF
        during the five-year follow-up period. We estimated odds ratios (OR) and 95% confidence
        intervals (CI) for residential mobility by interactions between age group (0-4, 5-9, 10-13
        years), number of children in the household, and household composition, adjusting for
        baseline demographic-, household-, and area-level characteristics.</p>
    </sec>
    <sec>
      <title>Results</title>
      <p>32.1% and 21.6% of children experienced residential mobility, with 9.1% and 3.0% moving
        more than once in Wales and NEL respectively. In both geographies, residential mobility
        decreased as age group increased: NEL: 25.3%, 18.7%, 15.6%; Wales: 40.1%, 29.4%, 23.6%. In
        the fully adjusted model including interactions, all children in Wales, and 10-13-year-olds
        in NEL living with a single adult were more likely to experience residential mobility
        (10-13-year-olds in Wales: OR: 1.82; 95%CI: 1.73,1.91; NEL: 1.15; 1.07,1.25) compared with
        those living with two working-age adults. 5-13-year-olds in Wales and 10-13-year-olds in NEL
        were more likely to experience residential mobility if there were four or more children in
        the household (Wales 5-9-year-olds: OR: 1.21; 95%CI: 1.14,1.29; 10-13-years-olds: 1.68;
        1.56,1.82; NEL 10-13-year-olds: 1.31; 1.18,1.46) compared with one child.</p>
    </sec>
    <sec>
      <title>Conclusion</title>
      <p>We examined residential mobility in two distinct geographies with different levels of
        ethnic diversity and area-level deprivation. Given the wide-ranging adverse impacts of high
        residential mobility, our cross-country comparison provides a more comprehensive
        understanding of the characteristics of those who move, with the potential to better support
        families.</p>
    </sec>
  </body>
</article>