<?xml version="1.0" encoding="UTF-8"?>
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<docDscr>
  <citation>
    <titlStmt>
      <titl>Epidemiological Study Concerning The Children of E3N Women</titl>
      <IDNo>FRESH-PEF3101-en</IDNo>
    </titlStmt>
    <prodStmt>
      <producer abbr="" affiliation="INSTITUT GUSTAVE ROUSSY (IGR)" role="">Camille LAPLANCHE</producer>
    </prodStmt>
    <verStmt>
      <version></version>
    </verStmt>
  </citation>
</docDscr>
<stdyDscr>
  <citation>
    <titlStmt>
      <titl>
                Epidemiological Study Concerning The Children of E3N Women            </titl>
      <altTitl>
                    E4N                </altTitl>
      <IDNo agency="FReSH-lang">
                FRESH-PEF3101-en            </IDNo>
      <IDNo agency="PEF">
                    3101                </IDNo>
      <IDNo agency="FReSH">
                    FRESH-PEF3101                </IDNo>
    </titlStmt>
    <rspStmt>
      <AuthEnty>
                    Gianluca SEVERI                                                                                                                            </AuthEnty>
      <AuthEnty affiliation="INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE (INSERM)">
        <ExtLink title="ROR" URI="https://ror.org/02vjkv261" role="organisation id"/>
        <ExtLink title="SIREN" URI="180036048" role="organisation id"/>
      </AuthEnty>
      <othId affiliation="" type="">
                                    </othId>
    </rspStmt>
    <prodStmt>
      <producer role="sponsor">
                                            INSTITUT GUSTAVE ROUSSY (IGR)                    
                                    </producer>
      <producer role="sponsor">
                                            INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE (INSERM)                    
                                    </producer>
      <producer role="sponsor">
                                            UNIVERSITE PARIS-SACLAY                    
                                    </producer>
      <prodPlac>
                Epidemiology France Portal (PEF)            </prodPlac>
      <fundAg>
                                            AGENCE NATIONALE DE LA RECHERCHE (ANR)                    
                                    </fundAg>
    </prodStmt>
    <distStmt>
      <distrbtr abbr="null">
                    null</distrbtr>
      <contact affiliation="INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE (INSERM)" email="gianluca.severi@inserm.fr">
                    Gianluca;SEVERI
                                            <ExtLink title="ROR" URI="https://ror.org/02vjkv261" role="organisation id"/>
                                            <ExtLink title="SIREN" URI="180036048" role="organisation id"/>
                                    </contact>
      <depDate date="2026-06-17"/>
      <distDate date="2026-06-17"/>
    </distStmt>
    <biblCit format="">
            </biblCit>
    <holdings URI="null"/>
    <notes> </notes>
  </citation>
  <stdyInfo>
    <studyBudget/>
    <subject>
      <keyword vocab="" vocabURI="">
                    family environment</keyword>
      <keyword vocab="" vocabURI="">
                    Lifestyle and behaviour</keyword>
      <keyword vocab="" vocabURI="">
                    family members</keyword>
      <keyword vocab="" vocabURI="">
                    family determinants</keyword>
      <topcClas vocab="cim-11">
                        COVID-19                                            </topcClas>
      <topcClas vocab="health determinant">
                        Biological determinants: Genetic predisposition                    </topcClas>
      <topcClas vocab="health determinant">
                        Environmental determinants: Other                    </topcClas>
      <topcClas vocab="health determinant">
                        Healthcare system determinants: Use of care                    </topcClas>
      <topcClas vocab="health determinant">
                        Behavioral determinants                    </topcClas>
      <topcClas vocab="health determinant">
                        Behavioral determinants: Eating habits                    </topcClas>
      <topcClas vocab="health determinant">
                        Socio-demographic and economic determinants: Employment                    </topcClas>
      <topcClas vocab="health determinant">
                        Environmental determinants                    </topcClas>
      <topcClas vocab="health determinant">
                        Socio-demographic and economic determinants                    </topcClas>
      <topcClas vocab="health determinant">
                        Biological determinants                    </topcClas>
      <topcClas vocab="health determinant">
                        Healthcare system determinants                    </topcClas>
    </subject>
    <abstract contentType="purpose">The familial E3N-E4N study purpose is to study health in relation to the modern way of life in people of the same family over three generations. The E4N study aims to extend the E3N study by following the descendants of women who participated in the E3N study. The objective is to better understand the onset of major diseases, from genetics, family environment and the environment outside the family. As well as gathering a large amount of prospective epidemiological data, E4N cohort permit the collection of important information concerning phenotypes and genetics.</abstract>
    <abstract contentType="abstract">null</abstract>
    <sumDscr>
      <collDate event="start" date=""/>
      <collDate event="end" date=""/>
      <nation abbr="fr">
                    France
                                            <concept vocab="ISO" vocabURI="fr"/>
                                    </nation>
      <geogUnit/>
      <anlyUnit>
                Individuals            </anlyUnit>
      <universe level="type" clusion="I">General population                    </universe>
      <universe level="sex" clusion="I">Male                                                            <concept vocab="MeSH" vocabURI="http://id.nlm.nih.gov/mesh/D008297"/>
                                                    </universe>
      <universe level="sex" clusion="I">Female                                                            <concept vocab="MeSH" vocabURI="http://id.nlm.nih.gov/mesh/D005260"/>
                                                    </universe>
      <universe level="age" clusion="I">Young Adult (19 to 24 years)                                                            <concept vocab="MeSH" vocabURI="http://id.nlm.nih.gov/mesh/D055815"/>
                                                    </universe>
      <universe level="age" clusion="I">Adult (25 to 44 years)                                                            <concept vocab="MeSH" vocabURI="http://id.nlm.nih.gov/mesh/D000328"/>
                                                    </universe>
      <universe level="age" clusion="I">Middle Aged (45 to 64 years)                                                            <concept vocab="MeSH" vocabURI="http://id.nlm.nih.gov/mesh/D008875"/>
                                                    </universe>
      <universe level="age" clusion="I">Aged (65 to 79 years)                                                            <concept vocab="MeSH" vocabURI="http://id.nlm.nih.gov/mesh/D000368"/>
                                                    </universe>
      <universe level="age" clusion="I">Aged, 80 and over (80 years and more)                                                            <concept vocab="MeSH" vocabURI="http://id.nlm.nih.gov/mesh/D000369"/>
                                                    </universe>
      <universe clusion="I">Women included in the E3N cohort (G1),  Fathers of E3N women's children (G1)  Sons and daughters of E3N women (G2),  Grandchildren of E3N women (G3).                    </universe>
      <dataKind>Clinical data</dataKind>
      <dataKind>Participant-reported health data</dataKind>
      <dataKind>Biological data</dataKind>
      <dataKind>Socio-demographic data</dataKind>
    </sumDscr>
    <qualityStatement>
      <standardsCompliance>
        <standard>
          <standardName>CIM 10</standardName>
        </standard>
      </standardsCompliance>
    </qualityStatement>
  </stdyInfo>
  <studyDevelopment>
    <developmentActivity type="primary evaluation">
      <description>Health event/morbidity
Health event/mortality
Health care consumption and services
Quality of life/health perception</description>
    </developmentActivity>
  </studyDevelopment>
  <method>
    <dataColl>
      <sampProc>Other                                                            <concept vocab="CESSDA" vocabURI="Other"/>
                                                    </sampProc>
      <sampleFrame>
        <frameUnit>
          <unitType>Population database for statistical purposes</unitType>
        </frameUnit>
      </sampleFrame>
      <targetSampleSize>
        <sampleSizeFormula>&gt;= 20000 individuals                        </sampleSizeFormula>
      </targetSampleSize>
      <collMode>Self-administered questionnaire                                                            <concept vocab="CESSDA" vocabURI="SelfAdministeredQuestionnaire"/>
                                                    </collMode>
      <sources>
        <sources>
          <sourceCitation>
                                    
                                    
                                                                    </sourceCitation>
          <srcOrig>Medico-administrative database</srcOrig>
        </sources>
      </sources>
    </dataColl>
    <notes>Observational Study</notes>
    <notes subject="research type">
                        Observational Study                    </notes>
    <notes subject="observational study method">
                        Cohort study                    </notes>
    <anlyInfo>
      <respRate>18 000 fathers (E4N-G1) / 50 000 expected children (E4N-G2) / 20 000 expected grandchildren (E4N-G3)</respRate>
    </anlyInfo>
    <stdyClas>Unknown</stdyClas>
  </method>
  <dataAccs>
    <setAvail>
      <avlStatus>
                            Metadata-only access                                                    </avlStatus>
    </setAvail>
  </dataAccs>
  <othrStdyMat>
    <relMat>Access on specific project only</relMat>
  </othrStdyMat>
</stdyDscr>
<dataDscr>
</dataDscr></codeBook>
