Vorschaubild nicht verfügbar
Publikationstyp
Conference proceedings
Monographie
Monographie
Erscheinungsjahr
2015
DOI
Integrating Exposure Modeling with Human Biomonitoring: Experiences from Health-related Environmental Monitoring in Germany
Integrating Exposure Modeling with Human Biomonitoring: Experiences from Health-related Environmental Monitoring in Germany
Autor:innen
Herausgeber
Quelle
25th annual meeting of the International Society of Exposure Science (ISES)
Schlagwörter
Biomonitoring, Risikoanalyse
Zitation
Integrating Exposure Modeling with Human Biomonitoring: Experiences from Health-related Environmental Monitoring in Germany, 2015. [online]. Verfügbar unter: https://openumwelt.de/handle/123456789/7747
Zusammenfassung englisch
Introduction:
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.
Results:
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%).
Conclusions:
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
In: The International Societyof Exposure Science: 25th Annual Meeting: Exposures in an Evolving Environment; October 18 - 22, 2015 - Henderson, Nevada, S.151
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.
Results:
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%).
Conclusions:
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
In: The International Societyof Exposure Science: 25th Annual Meeting: Exposures in an Evolving Environment; October 18 - 22, 2015 - Henderson, Nevada, S.151