Please use this identifier to cite or link to this item:https://hdl.handle.net/20.500.12259/93258
Type of publication: Straipsnis Clarivate Analytics Web of Science ar/ir Scopus / Article in Clarivate Analytics Web of Science or / and Scopus (S1)
Field of Science: Visuomenės sveikata / Public health (M004);Ekologija ir aplinkotyra / Ecology and environmental sciences (N012)
Author(s): Nieuwenhuijsen, Mark;Agier, Lydiane;Basagaña, Xavier;Urquiza, Jose;Tamayo-Uria, Ibon;Giorgis-Allemand, Lise;Robinson, Oliver;Siroux, Valérie;Maitre, Léa;Castro, Montserrat de;Valentín, Antònia;Donaire-Gonzalez, David;Dadvand, Payam;Aasvang, Gunn Marit;Krog, Hjertager Norun;Schwarze, Per E;Chatzi, Leda;Gražulevičienė, Regina;Andrušaitytė, Sandra;Dėdelė, Audrius;McEachan, Rosemary R. C;Wright, John;West, Joel;Ibarluzea, Jesus;Ballester, Ferran;Vrijheid, Martine;Slama, Rémy
Title: Influence of the urban exposome on birth weight
Is part of: Environmental health perspectives. Research Triangle Park, USA : National Institute of Environmental Health Sciences, 2019, Vol. 127, iss. 4
Extent: p. 1-14
Date: 2019
Keywords: Urban exposome;Built-environment exposures;Influence birth weight
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 DeletionSubstitution-Addition (DSA) algorithm, which is an extension of the stepwise variable selection method. Second, we used an exposure-byexposure 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
Internet: https://ehp.niehs.nih.gov/doi/pdf/10.1289/EHP3971
Affiliation(s): Aplinkotyros katedra
Gamtos mokslų fakultetas
Vytauto Didžiojo universitetas
Appears in Collections:Universiteto mokslo publikacijos / University Research Publications

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