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Influence of the urban exposome on birth weight
Nieuwenhuijsen, Mark J. ; Agier, Lydiane ; Basagaña, Xavier ; Urquiza, Jose ; Tamayo-Uria, Ibon ; Giorgis-Allemand, Lise ; Robinson, Oliver ; Siroux, Valérie ; Maitre, Léa ; de Castro, Montserrat ... show 10 more
Nieuwenhuijsen, Mark J.
Agier, Lydiane
Basagaña, Xavier
Urquiza, Jose
Tamayo-Uria, Ibon
Giorgis-Allemand, Lise
Robinson, Oliver
Siroux, Valérie
Maitre, Léa
de Castro, Montserrat
Author
Nieuwenhuijsen, Mark J.
Agier, Lydiane
Basagaña, Xavier
Urquiza, Jose
Tamayo-Uria, Ibon
Giorgis-Allemand, Lise
Robinson, Oliver
Siroux, Valérie
Maitre, Léa
de Castro, Montserrat
Valentin, Antonia
Donaire, David
Dadvand, Payam
Aasvang, Gunn Marit
Krog, Norun Hjertager
Schwarze, Per E.
Chatzi, Leda
Grazuleviciene, Regina
Andrusaityte, Sandra
Dedele, Audrius
McEachan, Rosie
Wright, John
West, Jane
Ibarluzea, Jesús
Ballester, Ferran
Vrijheid, Martine
Slama, Remy
Agier, Lydiane
Basagaña, Xavier
Urquiza, Jose
Tamayo-Uria, Ibon
Giorgis-Allemand, Lise
Robinson, Oliver
Siroux, Valérie
Maitre, Léa
de Castro, Montserrat
Valentin, Antonia
Donaire, David
Dadvand, Payam
Aasvang, Gunn Marit
Krog, Norun Hjertager
Schwarze, Per E.
Chatzi, Leda
Grazuleviciene, Regina
Andrusaityte, Sandra
Dedele, Audrius
McEachan, Rosie
Wright, John
West, Jane
Ibarluzea, Jesús
Ballester, Ferran
Vrijheid, Martine
Slama, Remy
Abstract
Background: The exposome is defined as the totality of environmental exposures from conception onwards. It calls for providing a holistic view of environmental exposures and their effects on human health by evaluating multiple environmental exposures simultaneously during critical periods of life. Objective: We evaluated the association of the urban exposome with birth weight. Methods: We estimated exposure to the urban exposome, including the built environment, air pollution, road traffic noise, meteorology, natural space, and road traffic (corresponding to 24 environmental indicators and 60 exposures) for nearly 32,000 pregnant women from six European birth cohorts. To evaluate associations with either continuous birth weight or term low birth weight (TLBW) risk, we primarily relied on the Deletion-Substitution-Addition (DSA) algorithm, which is an extension of the stepwise variable selection method. Second, we used an exposure-by-exposure exposome-wide association studies (ExWAS) method accounting for multiple hypotheses testing to report associations not adjusted for coexposures. Results: The most consistent statistically significant associations were observed between increasing green space exposure estimated as Normalized Difference Vegetation Index (NDVI) and increased birth weight and decreased TLBW risk. Furthermore, we observed statistically significant associations among presence of public bus line, land use Shannon's Evenness Index, and traffic density and birth weight in our DSA analysis. Conclusion: This investigation is the first large urban exposome study of birth weight that tests many environmental urban exposures. It confirmed previously reported associations for NDVI and generated new hypotheses for a number of built-environment exposures.
Keywords
Date
2019
Type
Journal article
Journal
Environmental Health Perspectives
Book
Volume
127
Issue
4
Page Range
1-14
Article Number
ACU Department
Mary MacKillop Institute for Health Research
Faculty of Health Sciences
Faculty of Health Sciences
Collections
Relation URI
DOI
Source URL
Event URL
Open Access Status
Open access
License
File Access
Open
