Publikation:
Integrating Exposure Modeling with Human Biomonitoring: Experiences from Health-related Environmental Monitoring in Germany

Kurzanzeige
dc.contributor.otherConrad, André
dc.contributor.otherPlaß, Dietrich
dc.contributor.otherTobollik, Myriam
dc.contributor.otherSchulz, Christine
dc.contributor.otherSeiwert, Margarete
dc.contributor.otherSchröter-Kermani, Christa
dc.contributor.otherRüther, Maria
dc.contributor.otherSchwedler, Gerda
dc.contributor.otherRucic, Enrico
dc.contributor.otherWintermeyer, Dirk
dc.contributor.otherKolossa-Gehring, Marike
dc.date.accessioned2024-06-16T16:01:53Z
dc.date.available2024-06-16T16:01:53Z
dc.date.issued2015
dc.description.abstractIntroduction:<BR>The German health-related environmental monitoring program - consisting of the German Environmental Survey (GerES) and the Environmental Specimen Bank (ESB) - is also a key source for the German Exposure factors database (RefXP). Current GerES and ESB results and updated exposure factors in RefXP are combined for the analysis of environmental health topics. Methods GerES is a cross-sectional population study carried out repeatedly since 1985. GerES comprises human biomonitoring (HBM), indoor monitoring and interviews. On a yearly basis, the ESB collects human samples which are cryo-archived and analyzed for various pollutants. All 20-29 years old ESB participants report on their behaviors and anthropometrics. RefXP includes approx. 1,000 entries on exposure factors for the German population, e.g. body-weight, food consumption, and soil/dust ingestion. <BR>Results:<BR>GerES and RefXP data were used to estimate German childrens inhalative exposure to indoor air pollutants. For alpha-pinene the median estimate is 2.7, for xylene 1.4 ìg/(kg d). GerES interviews revealed substantial seasonal differences in ventilation behavior, indicating the need for separate exposure models for summer and winter. ESB data documents time trends in human exposures and in exposure influencing factors: Urinary mercury decreased from 0.6 in 1997 to 0.07 ìg/L in 2013. This can partly be explained by a decreasing fraction of participants with dental amalgam (1997: 83% vs. 2013: 10%). <BR>Conclusions: <BR>Combining data from GerES, ESB, and RefXP yields a more complete view on environmental exposures in the German population: Integrating HBM and exposure modelling provides comprehensive data on exposures, relevant exposure pathways, and information on the potential effect of policy measures aiming for improving environmental health. Acknowledgements GerES, ESB and RefXP are funded by the Federal Environment Ministry (BMUB). Further information: www.uba.de/geres, www.umweltprobenbank.de, www.uba.de/refxp<BR>In: The International Societyof Exposure Science: 25th Annual Meeting: Exposures in an Evolving Environment; October 18 - 22, 2015 - Henderson, Nevada, S.151en
dc.format.extent20 Vortragsfolien
dc.format.extentIll., graph. Darst., Kt.
dc.identifier.urihttps://openumwelt.de/handle/123456789/7747
dc.language.isoeng
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjectBiomonitoring
dc.subjectRisikoanalyse
dc.titleIntegrating Exposure Modeling with Human Biomonitoring: Experiences from Health-related Environmental Monitoring in Germany
dc.typeConference proceedings
dc.typeMonographie
dspace.entity.typePublication
local.bibliographicCitation.conference25th annual meeting of the International Society of Exposure Science (ISES)
local.collectionRede
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local.identifier.catalogId02431003
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local.jointTitleINTEGRATING EXPOSURE MODELING WITH HUMAN BIOMONITORING EXPERIENCES FROM HEALTHRELATED ENVIRONMENTAL MONITORING IN GERMANY
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