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Human Biomonitoring Data in Health Risk Assessments Published in Peer-Reviewed Journals between 2016 and 2021: Confronting Reality after a Preliminary Review
Human biomonitoring (HBM) is a rapidly developing field that is emphasized as an important approach for the assessment of health risks. However, its value for health risk assessment (HRA) remains to be clarified. We performed a review of publications concerned with applications of HBM in the assessm...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8955248/ https://www.ncbi.nlm.nih.gov/pubmed/35329058 http://dx.doi.org/10.3390/ijerph19063362 |
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author | Bizjak, Tine Capodiferro, Marco Deepika, Deepika Dinçkol, Öykü Dzhedzheia, Vazha Lopez-Suarez, Lorena Petridis, Ioannis Runkel, Agneta A. Schultz, Dayna R. Kontić, Branko |
author_facet | Bizjak, Tine Capodiferro, Marco Deepika, Deepika Dinçkol, Öykü Dzhedzheia, Vazha Lopez-Suarez, Lorena Petridis, Ioannis Runkel, Agneta A. Schultz, Dayna R. Kontić, Branko |
author_sort | Bizjak, Tine |
collection | PubMed |
description | Human biomonitoring (HBM) is a rapidly developing field that is emphasized as an important approach for the assessment of health risks. However, its value for health risk assessment (HRA) remains to be clarified. We performed a review of publications concerned with applications of HBM in the assessment of health risks. The selection of publications for this review was limited by the search engines used (only PubMed and Scopus) and a timeframe of the last five years. The review focused on the clarity of 10 HRA elements, which influence the quality of HRA. We show that the usage of HBM data in HRA is limited and unclear. Primarily, the key HRA elements are not consistently applied or followed when using HBM in such assessments, and secondly, there are inconsistencies regarding the understanding of fundamental risk analysis principles and good practices in risk analysis. Our recommendations are as follows: (i) potential usage of HBM data in HRA should not be non-critically overestimated but rather limited and aligned to a specific value for exposure assessment or for the interpretation of health damage; (ii) improvements to HRA approaches, using HBM information or not, are needed and should strictly follow theoretical foundations of risk analysis. |
format | Online Article Text |
id | pubmed-8955248 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-89552482022-03-26 Human Biomonitoring Data in Health Risk Assessments Published in Peer-Reviewed Journals between 2016 and 2021: Confronting Reality after a Preliminary Review Bizjak, Tine Capodiferro, Marco Deepika, Deepika Dinçkol, Öykü Dzhedzheia, Vazha Lopez-Suarez, Lorena Petridis, Ioannis Runkel, Agneta A. Schultz, Dayna R. Kontić, Branko Int J Environ Res Public Health Review Human biomonitoring (HBM) is a rapidly developing field that is emphasized as an important approach for the assessment of health risks. However, its value for health risk assessment (HRA) remains to be clarified. We performed a review of publications concerned with applications of HBM in the assessment of health risks. The selection of publications for this review was limited by the search engines used (only PubMed and Scopus) and a timeframe of the last five years. The review focused on the clarity of 10 HRA elements, which influence the quality of HRA. We show that the usage of HBM data in HRA is limited and unclear. Primarily, the key HRA elements are not consistently applied or followed when using HBM in such assessments, and secondly, there are inconsistencies regarding the understanding of fundamental risk analysis principles and good practices in risk analysis. Our recommendations are as follows: (i) potential usage of HBM data in HRA should not be non-critically overestimated but rather limited and aligned to a specific value for exposure assessment or for the interpretation of health damage; (ii) improvements to HRA approaches, using HBM information or not, are needed and should strictly follow theoretical foundations of risk analysis. MDPI 2022-03-13 /pmc/articles/PMC8955248/ /pubmed/35329058 http://dx.doi.org/10.3390/ijerph19063362 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Bizjak, Tine Capodiferro, Marco Deepika, Deepika Dinçkol, Öykü Dzhedzheia, Vazha Lopez-Suarez, Lorena Petridis, Ioannis Runkel, Agneta A. Schultz, Dayna R. Kontić, Branko Human Biomonitoring Data in Health Risk Assessments Published in Peer-Reviewed Journals between 2016 and 2021: Confronting Reality after a Preliminary Review |
title | Human Biomonitoring Data in Health Risk Assessments Published in Peer-Reviewed Journals between 2016 and 2021: Confronting Reality after a Preliminary Review |
title_full | Human Biomonitoring Data in Health Risk Assessments Published in Peer-Reviewed Journals between 2016 and 2021: Confronting Reality after a Preliminary Review |
title_fullStr | Human Biomonitoring Data in Health Risk Assessments Published in Peer-Reviewed Journals between 2016 and 2021: Confronting Reality after a Preliminary Review |
title_full_unstemmed | Human Biomonitoring Data in Health Risk Assessments Published in Peer-Reviewed Journals between 2016 and 2021: Confronting Reality after a Preliminary Review |
title_short | Human Biomonitoring Data in Health Risk Assessments Published in Peer-Reviewed Journals between 2016 and 2021: Confronting Reality after a Preliminary Review |
title_sort | human biomonitoring data in health risk assessments published in peer-reviewed journals between 2016 and 2021: confronting reality after a preliminary review |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8955248/ https://www.ncbi.nlm.nih.gov/pubmed/35329058 http://dx.doi.org/10.3390/ijerph19063362 |
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