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<docDscr>
  <citation>
    <titlStmt>
      <titl>Cohort of Consultants from Health Examination Clinics</titl>
      <IDNo>FRESH-PEF3395-en</IDNo>
    </titlStmt>
    <prodStmt>
      <producer abbr="" affiliation="UNIVERSITE PARIS CITE" role="">Marie ZINS</producer>
    </prodStmt>
    <verStmt>
      <version></version>
    </verStmt>
  </citation>
</docDscr>
<stdyDscr>
  <citation>
    <titlStmt>
      <titl>
                Cohort of Consultants from Health Examination Clinics            </titl>
      <altTitl>
                    CONSTANCES                </altTitl>
      <IDNo agency="FReSH-lang">
                FRESH-PEF3395-en            </IDNo>
      <IDNo agency="PEF">
                    3395                </IDNo>
      <IDNo agency="FReSH">
                    FRESH-PEF3395                </IDNo>
    </titlStmt>
    <rspStmt>
      <AuthEnty>
                    Marie ZINS                                                                                                                            </AuthEnty>
      <AuthEnty affiliation="UNIVERSITE PARIS CITE">
        <ExtLink title="ROR" URI="https://ror.org/05f82e368" role="organisation id"/>
        <ExtLink title="SIREN" URI="130025737" role="organisation id"/>
      </AuthEnty>
      <AuthEnty>
                    Marcel GOLDBERG                                                                                                                            </AuthEnty>
      <AuthEnty affiliation="UNIVERSITE PARIS-SACLAY">
        <ExtLink title="ROR" URI="https://ror.org/03xjwb503" role="organisation id"/>
        <ExtLink title="SIREN" URI="130026024" role="organisation id"/>
      </AuthEnty>
      <othId affiliation="BBMRI-LPCIDEARP3G" type="collaboration">
                                    </othId>
    </rspStmt>
    <prodStmt>
      <producer role="sponsor">
                                            UNIVERSITE PARIS CITE                    
                                    </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>
    </prodStmt>
    <distStmt>
      <distrbtr abbr="null">
                    null</distrbtr>
      <contact affiliation="UNIVERSITE PARIS CITE" email="marie.zins@inserm.fr">
                    Marie;ZINS
                                            <ExtLink title="ROR" URI="https://ror.org/05f82e368" role="organisation id"/>
                                            <ExtLink title="SIREN" URI="130025737" role="organisation id"/>
                                    </contact>
      <contact affiliation="UNIVERSITE PARIS-SACLAY" email="marcel.goldberg@inserm.fr">
                    Marcel;GOLDBERG
                                            <ExtLink title="ROR" URI="https://ror.org/03xjwb503" role="organisation id"/>
                                            <ExtLink title="SIREN" URI="130026024" role="organisation id"/>
                                    </contact>
      <depDate date="2026-06-16"/>
      <distDate date="2026-06-16"/>
    </distStmt>
    <biblCit format="">
            </biblCit>
    <holdings URI="null"/>
    <notes> </notes>
  </citation>
  <stdyInfo>
    <studyBudget/>
    <subject>
      <keyword vocab="" vocabURI="">
                    representative sample</keyword>
      <keyword vocab="" vocabURI="">
                    public health indicators</keyword>
      <keyword vocab="" vocabURI="">
                    heath examination clinic</keyword>
      <keyword vocab="" vocabURI="">
                    adult population</keyword>
      <keyword vocab="" vocabURI="">
                    women's health</keyword>
      <keyword vocab="" vocabURI="">
                    generalist cohort</keyword>
      <keyword vocab="" vocabURI="">
                    ageing</keyword>
      <keyword vocab="" vocabURI="">
                    occupational risk</keyword>
      <keyword vocab="" vocabURI="">
                    chronic illness</keyword>
      <keyword vocab="" vocabURI="">
                    environment</keyword>
      <keyword vocab="" vocabURI="">
                    behaviour</keyword>
      <topcClas vocab="cim-11">
                        COVID-19                                            </topcClas>
      <topcClas vocab="health determinant">
                        Behavioral determinants: Addiction                    </topcClas>
      <topcClas vocab="health determinant">
                        Environmental determinants: Climate                    </topcClas>
      <topcClas vocab="health determinant">
                        Socio-demographic and economic determinants                    </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">
                        Environmental determinants                    </topcClas>
      <topcClas vocab="health determinant">
                        Socio-demographic and economic determinants: Employment                    </topcClas>
      <topcClas vocab="health determinant">
                        Biological determinants                    </topcClas>
      <topcClas vocab="health determinant">
                        Healthcare system determinants                    </topcClas>
    </subject>
    <abstract contentType="purpose">The objective is to establish a major epidemiological representative cohort of the general population and large workforce, in order to contribute to the development of epidemiological research and to provide information regarding public health. - This is an infrastructure for epidemiological research based on the active workforce, quality and diversity of data and surveillance procedures. Objectives focus on the epidemiology of chronic illness, ageing, behaviour and the environment, as well as determining occupational and social health factors. It may also allow projects to be initiated for various topics, given to the wide accessibility for researchers. - This is a public health tool that supports the State and CNAMTS public health objectives and assesses the achievement of these objectives through a comprehensive monitoring tool and the collection of diverse information, due to the varied and supplementary methods that call on various data sources. - This is an epidemiological monitoring tool through a partnership established with the French Institute for Public Health Surveillance (InVS) (particularly on the topic of occupational risk from the Department of Occupational Health (DST)-InVS).</abstract>
    <abstract contentType="abstract">null</abstract>
    <sumDscr>
      <collDate event="start" date="2012-01-01"/>
      <collDate event="end" date="2021-01-01"/>
      <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">Adults between 18 and 69 years old and affiliated with the General Social Security Fund.                    </universe>
      <dataKind>Clinical data</dataKind>
      <dataKind>Participant-reported health data</dataKind>
      <dataKind>Biological data</dataKind>
      <dataKind>Socio-demographic data</dataKind>
      <dataKind>Paraclinical data (non-biological) : Anthropometry</dataKind>
      <dataKind>Paraclinical data (non-biological) : Function testing</dataKind>
      <dataKind>Paraclinical data (non-biological) : Other</dataKind>
    </sumDscr>
  </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>Probability: Stratified                                                            <concept vocab="CESSDA" vocabURI="Probability.Stratified"/>
                                                    </sampProc>
      <sampleFrame>
        <frameUnit>
          <unitType>Medical-administrative database (patients</unitType>
        </frameUnit>
        <frameUnit>
          <unitType>health insurance/mutual insurance)</unitType>
        </frameUnit>
      </sampleFrame>
      <targetSampleSize>
        <sampleSizeFormula>&gt;= 20000 individuals                        </sampleSizeFormula>
      </targetSampleSize>
      <collMode>Self-administered questionnaire                                                            <concept vocab="CESSDA" vocabURI="SelfAdministeredQuestionnaire"/>
                                                    </collMode>
      <collMode>Interview with the participant (including clinical)                                                            <concept vocab="CESSDA" vocabURI="Interview"/>
                                                    </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>200.000</respRate>
    </anlyInfo>
    <stdyClas>Unknown</stdyClas>
  </method>
  <dataAccs>
    <setAvail>
      <avlStatus>
                            Restricted access                                                    </avlStatus>
    </setAvail>
    <useStmt>
      <conditions>Call for projects selected by the Scientific Committee.</conditions>
    </useStmt>
  </dataAccs>
  <othrStdyMat>
    <relMat>Access on specific project only</relMat>
  </othrStdyMat>
</stdyDscr>
<dataDscr>
</dataDscr></codeBook>
