Assessing our multi-pollutant burden: environmental chemical exposures and reproductive and child health

Humans are invariably exposed to a myriad of synthetic chemicals on a daily basis through their diet, consumer products, and via the ambient environment. Exposure also occurs in early life as many chemicals transfer from maternal stores into breast milk and across the placenta. However, the health r...

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Main Author: Lenters, V.C.
Other Authors: LS IRAS EEPI GRA (Gezh.risico-analyse), Heederik, Dick, Piersma, Aldert, Vermeulen, Roel, Portengen, Lützen
Format: Doctoral or Postdoctoral Thesis
Language:English
Published: Utrecht University 2017
Subjects:
Online Access:https://dspace.library.uu.nl/handle/1874/355269
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spelling ftunivutrecht:oai:dspace.library.uu.nl:1874/355269 2023-07-23T04:18:03+02:00 Assessing our multi-pollutant burden: environmental chemical exposures and reproductive and child health Lenters, V.C. LS IRAS EEPI GRA (Gezh.risico-analyse) Heederik, Dick Piersma, Aldert Vermeulen, Roel Portengen, Lützen 2017-09-19 image/pdf https://dspace.library.uu.nl/handle/1874/355269 en eng Utrecht University https://dspace.library.uu.nl/handle/1874/355269 info:eu-repo/semantics/OpenAccess Environmental epidemiology chemicals reproduction asthma microbiota statistical methods multi-pollutant modeling Dissertation 2017 ftunivutrecht 2023-07-02T02:12:18Z Humans are invariably exposed to a myriad of synthetic chemicals on a daily basis through their diet, consumer products, and via the ambient environment. Exposure also occurs in early life as many chemicals transfer from maternal stores into breast milk and across the placenta. However, the health risks of the majority of environmental chemicals are poorly characterized or unknown. In this thesis, we used emerging multi-pollutant statistical methods to evaluate associations between multiple chemical exposures and aspects of reproductive and child health. These methods, namely elastic net penalized regression and sparse partial least squares regression, allow for simultaneous variable selection and effect estimation. In a simulation study of 270 data structures typical of environmental epidemiological analyses, we demonstrated that multi-pollutant approaches, notably penalized regression, yielded fewer false positive discoveries and effect estimates less biased from co-exposure confounding compared to standard assessments of a single exposure. In European and Arctic study populations, we characterized the exposure levels of multiple chemical classes: brominated flame retardants, phthalates, perfluoroalkyl and polyfluoroalkyl substances (PFAS), heavy metals, polychlorinated biphenyls (PCBs), and organochlorine pesticides. In an analysis of chemical exposures in relation to 22 biomarkers of male reproductive function, we detected 10 associations. These included robust associations between a metabolite of diisononyl phthalate (DiNP), which is abundant in polyvinyl chloride materials, and lower testosterone levels; and between PCB-153, a banned yet environmentally persistent chemical, and reduced sperm motility. In another analysis, we found that prenatal exposure to several chemicals was independently associated with birth weight in infants born at term. Low birth weight is a risk factor for chronic disease later in life. The largest effect estimate was observed for perfluorooctanoate (PFOA) and reduced birth ... Doctoral or Postdoctoral Thesis Arctic Utrecht University Repository Arctic
institution Open Polar
collection Utrecht University Repository
op_collection_id ftunivutrecht
language English
topic Environmental epidemiology
chemicals
reproduction
asthma
microbiota
statistical methods
multi-pollutant modeling
spellingShingle Environmental epidemiology
chemicals
reproduction
asthma
microbiota
statistical methods
multi-pollutant modeling
Lenters, V.C.
Assessing our multi-pollutant burden: environmental chemical exposures and reproductive and child health
topic_facet Environmental epidemiology
chemicals
reproduction
asthma
microbiota
statistical methods
multi-pollutant modeling
description Humans are invariably exposed to a myriad of synthetic chemicals on a daily basis through their diet, consumer products, and via the ambient environment. Exposure also occurs in early life as many chemicals transfer from maternal stores into breast milk and across the placenta. However, the health risks of the majority of environmental chemicals are poorly characterized or unknown. In this thesis, we used emerging multi-pollutant statistical methods to evaluate associations between multiple chemical exposures and aspects of reproductive and child health. These methods, namely elastic net penalized regression and sparse partial least squares regression, allow for simultaneous variable selection and effect estimation. In a simulation study of 270 data structures typical of environmental epidemiological analyses, we demonstrated that multi-pollutant approaches, notably penalized regression, yielded fewer false positive discoveries and effect estimates less biased from co-exposure confounding compared to standard assessments of a single exposure. In European and Arctic study populations, we characterized the exposure levels of multiple chemical classes: brominated flame retardants, phthalates, perfluoroalkyl and polyfluoroalkyl substances (PFAS), heavy metals, polychlorinated biphenyls (PCBs), and organochlorine pesticides. In an analysis of chemical exposures in relation to 22 biomarkers of male reproductive function, we detected 10 associations. These included robust associations between a metabolite of diisononyl phthalate (DiNP), which is abundant in polyvinyl chloride materials, and lower testosterone levels; and between PCB-153, a banned yet environmentally persistent chemical, and reduced sperm motility. In another analysis, we found that prenatal exposure to several chemicals was independently associated with birth weight in infants born at term. Low birth weight is a risk factor for chronic disease later in life. The largest effect estimate was observed for perfluorooctanoate (PFOA) and reduced birth ...
author2 LS IRAS EEPI GRA (Gezh.risico-analyse)
Heederik, Dick
Piersma, Aldert
Vermeulen, Roel
Portengen, Lützen
format Doctoral or Postdoctoral Thesis
author Lenters, V.C.
author_facet Lenters, V.C.
author_sort Lenters, V.C.
title Assessing our multi-pollutant burden: environmental chemical exposures and reproductive and child health
title_short Assessing our multi-pollutant burden: environmental chemical exposures and reproductive and child health
title_full Assessing our multi-pollutant burden: environmental chemical exposures and reproductive and child health
title_fullStr Assessing our multi-pollutant burden: environmental chemical exposures and reproductive and child health
title_full_unstemmed Assessing our multi-pollutant burden: environmental chemical exposures and reproductive and child health
title_sort assessing our multi-pollutant burden: environmental chemical exposures and reproductive and child health
publisher Utrecht University
publishDate 2017
url https://dspace.library.uu.nl/handle/1874/355269
geographic Arctic
geographic_facet Arctic
genre Arctic
genre_facet Arctic
op_relation https://dspace.library.uu.nl/handle/1874/355269
op_rights info:eu-repo/semantics/OpenAccess
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