How to use human biomonitoring in chemical risk assessment: Methodological aspects, recommendations, and lessons learned from HBM4EU
One of the aims of the European Human Biomonitoring Initiative, HBM4EU, was to provide examples of and good practices for the effective use of human biomonitoring (HBM) data in human health risk assessment (RA). The need for such information is pressing, as previous research has indicated that regul...
| Autores: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
|---|---|
| Tipo de recurso: | artículo |
| Fecha de publicación: | 2023 |
| País: | España |
| Institución: | Instituto de Salud Carlos III (ISCIII) |
| Repositorio: | Repisalud |
| Idioma: | inglés |
| OAI Identifier: | oai:repisalud.isciii.es:20.500.12105/16313 |
| Acceso en línea: | http://hdl.handle.net/20.500.12105/16313 |
| Access Level: | acceso abierto |
| Palabra clave: | Biological Monitoring Mercury Humans Environmental Monitoring Policy Risk Assessment |
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How to use human biomonitoring in chemical risk assessment: Methodological aspects, recommendations, and lessons learned from HBM4EUSantonen, TiinaMahiout, SelmaAlvito, PaulaApel, PetraBessems, JosBil, WienekeBorges, TeresaBose-O'Reilly, StephanBuekers, JurgenCañas Portilla, Ana IsabelCastaño, ArgeliaDe Alba-González, MercedesDomínguez-Morueco, NoeliaEsteban-Lopez, MartaFalnoga, IngridGerofke, AntjeGonzález-Caballero, MCarmenHorvat, MilenaHuuskonen, PasiKadikis, NormundsKolossa-Gehring, MarikeLange, RosaLouro, HenriquetaMartins, CarlaMeslin, MatthieuNiemann, LarsPedraza-Diaz, SusanaPlichta, VeronikaPorras, Simo PRousselle, ChristopheScholten, BerniceSilva, Maria JoãoŠlejkovec, ZdenkaTratnik, Janja SnojJoksić, Agnes ŠömenTarazona, JoseUhl, MariaVan Nieuwenhuyse, AnViegas, SusanaVinggaard, Anne MarieWoutersen, MarjolijnSchoeters, GreetBiological MonitoringMercuryHumansEnvironmental MonitoringPolicyRisk AssessmentOne of the aims of the European Human Biomonitoring Initiative, HBM4EU, was to provide examples of and good practices for the effective use of human biomonitoring (HBM) data in human health risk assessment (RA). The need for such information is pressing, as previous research has indicated that regulatory risk assessors generally lack knowledge and experience of the use of HBM data in RA. By recognising this gap in expertise, as well as the added value of incorporating HBM data into RA, this paper aims to support the integration of HBM into regulatory RA. Based on the work of the HBM4EU, we provide examples of different approaches to including HBM in RA and in estimations of the environmental burden of disease (EBoD), the benefits and pitfalls involved, information on the important methodological aspects to consider, and recommendations on how to overcome obstacles. The examples are derived from RAs or EBoD estimations made under the HBM4EU for the following HBM4EU priority substances: acrylamide, o-toluidine of the aniline family, aprotic solvents, arsenic, bisphenols, cadmium, diisocyanates, flame retardants, hexavalent chromium [Cr(VI)], lead, mercury, mixture of per-/poly-fluorinated compounds, mixture of pesticides, mixture of phthalates, mycotoxins, polycyclic aromatic hydrocarbons (PAHs), and the UV-filter benzophenone-3. Although the RA and EBoD work presented here is not intended to have direct regulatory implications, the results can be useful for raising awareness of possibly needed policy actions, as newly generated HBM data from HBM4EU on the current exposure of the EU population has been used in many RAs and EBoD estimations.ElsevierUnión Europea. Comisión Europea. H202020232023-07-2520232023-04-0120232023-04-01research articlehttp://purl.org/coar/resource_type/c_2df8fbb1VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfapplication/pdfhttp://hdl.handle.net/20.500.12105/16313reponame:Repisaludinstname:Instituto de Salud Carlos III (ISCIII)InglésengEuropean Commission http://dx.doi.org/10.13039/501100000780 Horizon 2020 Framework Programme 733032open accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:repisalud.isciii.es:20.500.12105/163132026-06-12T12:43:37Z |
| dc.title.none.fl_str_mv |
How to use human biomonitoring in chemical risk assessment: Methodological aspects, recommendations, and lessons learned from HBM4EU |
| title |
How to use human biomonitoring in chemical risk assessment: Methodological aspects, recommendations, and lessons learned from HBM4EU |
| spellingShingle |
How to use human biomonitoring in chemical risk assessment: Methodological aspects, recommendations, and lessons learned from HBM4EU Santonen, Tiina Biological Monitoring Mercury Humans Environmental Monitoring Policy Risk Assessment |
| title_short |
How to use human biomonitoring in chemical risk assessment: Methodological aspects, recommendations, and lessons learned from HBM4EU |
| title_full |
How to use human biomonitoring in chemical risk assessment: Methodological aspects, recommendations, and lessons learned from HBM4EU |
| title_fullStr |
How to use human biomonitoring in chemical risk assessment: Methodological aspects, recommendations, and lessons learned from HBM4EU |
| title_full_unstemmed |
How to use human biomonitoring in chemical risk assessment: Methodological aspects, recommendations, and lessons learned from HBM4EU |
| title_sort |
How to use human biomonitoring in chemical risk assessment: Methodological aspects, recommendations, and lessons learned from HBM4EU |
| dc.creator.none.fl_str_mv |
Santonen, Tiina Mahiout, Selma Alvito, Paula Apel, Petra Bessems, Jos Bil, Wieneke Borges, Teresa Bose-O'Reilly, Stephan Buekers, Jurgen Cañas Portilla, Ana Isabel Castaño, Argelia De Alba-González, Mercedes Domínguez-Morueco, Noelia Esteban-Lopez, Marta Falnoga, Ingrid Gerofke, Antje González-Caballero, MCarmen Horvat, Milena Huuskonen, Pasi Kadikis, Normunds Kolossa-Gehring, Marike Lange, Rosa Louro, Henriqueta Martins, Carla Meslin, Matthieu Niemann, Lars Pedraza-Diaz, Susana Plichta, Veronika Porras, Simo P Rousselle, Christophe Scholten, Bernice Silva, Maria João Šlejkovec, Zdenka Tratnik, Janja Snoj Joksić, Agnes Šömen Tarazona, Jose Uhl, Maria Van Nieuwenhuyse, An Viegas, Susana Vinggaard, Anne Marie Woutersen, Marjolijn Schoeters, Greet |
| author |
Santonen, Tiina |
| author_facet |
Santonen, Tiina Mahiout, Selma Alvito, Paula Apel, Petra Bessems, Jos Bil, Wieneke Borges, Teresa Bose-O'Reilly, Stephan Buekers, Jurgen Cañas Portilla, Ana Isabel Castaño, Argelia De Alba-González, Mercedes Domínguez-Morueco, Noelia Esteban-Lopez, Marta Falnoga, Ingrid Gerofke, Antje González-Caballero, MCarmen Horvat, Milena Huuskonen, Pasi Kadikis, Normunds Kolossa-Gehring, Marike Lange, Rosa Louro, Henriqueta Martins, Carla Meslin, Matthieu Niemann, Lars Pedraza-Diaz, Susana Plichta, Veronika Porras, Simo P Rousselle, Christophe Scholten, Bernice Silva, Maria João Šlejkovec, Zdenka Tratnik, Janja Snoj Joksić, Agnes Šömen Tarazona, Jose Uhl, Maria Van Nieuwenhuyse, An Viegas, Susana Vinggaard, Anne Marie Woutersen, Marjolijn Schoeters, Greet |
| author_role |
author |
| author2 |
Mahiout, Selma Alvito, Paula Apel, Petra Bessems, Jos Bil, Wieneke Borges, Teresa Bose-O'Reilly, Stephan Buekers, Jurgen Cañas Portilla, Ana Isabel Castaño, Argelia De Alba-González, Mercedes Domínguez-Morueco, Noelia Esteban-Lopez, Marta Falnoga, Ingrid Gerofke, Antje González-Caballero, MCarmen Horvat, Milena Huuskonen, Pasi Kadikis, Normunds Kolossa-Gehring, Marike Lange, Rosa Louro, Henriqueta Martins, Carla Meslin, Matthieu Niemann, Lars Pedraza-Diaz, Susana Plichta, Veronika Porras, Simo P Rousselle, Christophe Scholten, Bernice Silva, Maria João Šlejkovec, Zdenka Tratnik, Janja Snoj Joksić, Agnes Šömen Tarazona, Jose Uhl, Maria Van Nieuwenhuyse, An Viegas, Susana Vinggaard, Anne Marie Woutersen, Marjolijn Schoeters, Greet |
| author2_role |
author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author |
| dc.contributor.none.fl_str_mv |
Unión Europea. Comisión Europea. H2020 |
| dc.subject.none.fl_str_mv |
Biological Monitoring Mercury Humans Environmental Monitoring Policy Risk Assessment |
| topic |
Biological Monitoring Mercury Humans Environmental Monitoring Policy Risk Assessment |
| description |
One of the aims of the European Human Biomonitoring Initiative, HBM4EU, was to provide examples of and good practices for the effective use of human biomonitoring (HBM) data in human health risk assessment (RA). The need for such information is pressing, as previous research has indicated that regulatory risk assessors generally lack knowledge and experience of the use of HBM data in RA. By recognising this gap in expertise, as well as the added value of incorporating HBM data into RA, this paper aims to support the integration of HBM into regulatory RA. Based on the work of the HBM4EU, we provide examples of different approaches to including HBM in RA and in estimations of the environmental burden of disease (EBoD), the benefits and pitfalls involved, information on the important methodological aspects to consider, and recommendations on how to overcome obstacles. The examples are derived from RAs or EBoD estimations made under the HBM4EU for the following HBM4EU priority substances: acrylamide, o-toluidine of the aniline family, aprotic solvents, arsenic, bisphenols, cadmium, diisocyanates, flame retardants, hexavalent chromium [Cr(VI)], lead, mercury, mixture of per-/poly-fluorinated compounds, mixture of pesticides, mixture of phthalates, mycotoxins, polycyclic aromatic hydrocarbons (PAHs), and the UV-filter benzophenone-3. Although the RA and EBoD work presented here is not intended to have direct regulatory implications, the results can be useful for raising awareness of possibly needed policy actions, as newly generated HBM data from HBM4EU on the current exposure of the EU population has been used in many RAs and EBoD estimations. |
| publishDate |
2023 |
| dc.date.none.fl_str_mv |
2023 2023-07-25 2023 2023-04-01 2023 2023-04-01 |
| dc.type.none.fl_str_mv |
research article http://purl.org/coar/resource_type/c_2df8fbb1 VoR http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| dc.type.openaire.fl_str_mv |
info:eu-repo/semantics/article |
| format |
article |
| dc.identifier.none.fl_str_mv |
http://hdl.handle.net/20.500.12105/16313 |
| url |
http://hdl.handle.net/20.500.12105/16313 |
| dc.language.none.fl_str_mv |
Inglés eng |
| language_invalid_str_mv |
Inglés |
| language |
eng |
| dc.relation.none.fl_str_mv |
European Commission http://dx.doi.org/10.13039/501100000780 Horizon 2020 Framework Programme 733032 |
| dc.rights.none.fl_str_mv |
open access http://purl.org/coar/access_right/c_abf2 Attribution-NonCommercial-NoDerivatives 4.0 Internacional http://creativecommons.org/licenses/by-nc-nd/4.0/ |
| dc.rights.openaire.fl_str_mv |
info:eu-repo/semantics/openAccess |
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open access http://purl.org/coar/access_right/c_abf2 Attribution-NonCommercial-NoDerivatives 4.0 Internacional http://creativecommons.org/licenses/by-nc-nd/4.0/ |
| eu_rights_str_mv |
openAccess |
| dc.format.none.fl_str_mv |
application/pdf application/pdf |
| dc.publisher.none.fl_str_mv |
Elsevier |
| publisher.none.fl_str_mv |
Elsevier |
| dc.source.none.fl_str_mv |
reponame:Repisalud instname:Instituto de Salud Carlos III (ISCIII) |
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Instituto de Salud Carlos III (ISCIII) |
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Repisalud |
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Repisalud |
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1869411550280810496 |
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15,811543 |