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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.v10i3.3059</article-id>
      <article-id pub-id-type="publisher-id">10:3:46</article-id>
      <title-group>
        <article-title>Maternal contact with social care services and their children’s health and
          educational outcomes: a data linkage study using mother-baby linkage in ECHILD</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Ward</surname>
            <given-names initials="I">Isobel</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</xref>
          <xref ref-type="aff" rid="affil-2">2</xref>
          <xref ref-type="aff" rid="affil-3">3</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Bunk</surname>
            <given-names initials="H">Hannah</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Campbell</surname>
            <given-names initials="E">Emma</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Zaccardi</surname>
            <given-names initials="F">Francesco</given-names>
          </name>
          <xref ref-type="aff" rid="affil-4">4</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Sharp</surname>
            <given-names initials="G">Gemma</given-names>
          </name>
          <xref ref-type="aff" rid="affil-5">5</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Ayoubkhani</surname>
            <given-names initials="D">Daniel</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Nafilyan</surname>
            <given-names initials="V">Vahé</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</xref>
        </contrib>
      </contrib-group>
      <aff id="affil-1"><label>1</label><institution>Office for National Statistics, Newport, United
        Kingdom</institution></aff>
      <aff id="affil-2"><label>2</label><institution>Population Health Sciences, Bristol Medical
        School, University of Bristol, Bristol, United Kingdom</institution></aff>
      <aff id="affil-3"><label>3</label><institution>The National Institute for Health and Care
        Research Applied Research Collaboration West (NIHR ARC West) at University Hospitals Bristol
        and Weston NHS Foundation Trust, Birstol, United Kingdom</institution></aff>
      <aff id="affil-4"><label>4</label><institution>Leicester Real World Evidence Unit, Diabetes
        Research Centre, University of Leicester, Leicester, United Kingdom</institution></aff>
      <aff id="affil-5"><label>5</label><institution>Department of Psychology, Faculty of Health and
        Life Sciences, University of Exeter, Exeter, United Kingdom</institution></aff>
      <pub-date date-type="pub" publication-format="electronic">
        <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>3</issue>
      <elocation-id>3059</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/3059">This article is available from the
        IJPDS website at: https://ijpds.org/article/view/3059</self-uri>
    </article-meta>
  </front>
  <body>
    <sec>
      <title>Objectives</title>
      <p>Endometriosis has physical, psychological, social, and economic impacts; however, no
        previous population-level research has quantified the labour market impacts of this
        condition in England. We linked employee pay records to census data and endometriosis
        diagnoses to examine the impact of an endometriosis diagnosis on women's labour market
        participation and progression.</p>
    </sec>
    <sec>
      <title>Methods</title>
      <p>We used de-identified monthly employee pay records from HM Revenue and Customs (HMRC)
        linked to Hospital Episode Statistics (HES) and Census 2011. Our study population included
        55,920 women who had a diagnosis of endometriosis in an NHS hospital between 2016 and 2022,
        were aged 25-to-54-years at time of diagnosis, and could be linked to HMRC and census data.
        We used fixed effects regression modelling to estimate the average changes in employee pay
        and employment status attributable to being diagnosed with endometriosis. Outcomes were
        estimated at different time periods after diagnosis, compared with the two years before
        diagnosis.</p>
    </sec>
    <sec>
      <title>Results</title>
      <p>Compared with the two-year period before being diagnosed with endometriosis, monthly pay
        initially dropped on average in the first three months post-diagnosis, then returned to
        pre-diagnosis levels from 4 to 12 months. Afterward, there was a statistically significant
        average decrease in monthly earnings among women from one to five years after diagnosis.
        Among women in paid work, monthly pay reached an average decrease of £56 (95%CI:£29-£83) per
        month in the four to five years post-diagnosis. This suggests that, following a diagnosis,
        women in work may be taking lower-paying jobs or working fewer hours. The probability of
        being a paid employee decreased by 2.7 percentage points in the four to five years
        post-diagnosis, compared with the two years before diagnosis.</p>
    </sec>
    <sec>
      <title>Conclusion</title>
      <p>Our findings show that following an endometriosis diagnosis, women earn less and are less
        likely to be in paid employment compared with the two years before diagnosis. These results
        highlight a clear need for a review of appropriate healthcare services and policies around
        endometriosis and the workplace.</p>
    </sec>
  </body>
</article>