Influence of the Urban Exposome on Birth Weight.


Journal

Environmental health perspectives
ISSN: 1552-9924
Titre abrégé: Environ Health Perspect
Pays: United States
ID NLM: 0330411

Informations de publication

Date de publication:
04 2019
Historique:
entrez: 23 4 2019
pubmed: 23 4 2019
medline: 1 1 2020
Statut: ppublish

Résumé

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. We evaluated the association of the urban exposome with birth weight. 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. 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. 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. https://doi.org/10.1289/EHP3971.

Sections du résumé

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. https://doi.org/10.1289/EHP3971.

Identifiants

pubmed: 31009264
doi: 10.1289/EHP3971
pmc: PMC6785228
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

47007

Subventions

Organisme : Medical Research Council
ID : MR/K021656/1
Pays : United Kingdom
Organisme : NIEHS NIH HHS
ID : P30 ES007048
Pays : United States
Organisme : Medical Research Council
ID : MR/K006665/1
Pays : United Kingdom
Organisme : NIEHS NIH HHS
ID : N01ES75558
Pays : United States
Organisme : Medical Research Council
ID : G0601712
Pays : United Kingdom
Organisme : NINDS NIH HHS
ID : U01 NS047537
Pays : United States

Références

Eur Respir Rev. 2016 Jun;25(140):124-9
pubmed: 27246588
Environ Health Perspect. 2014 Aug;122(8):843-9
pubmed: 24787034
Environ Health Perspect. 2014 Jun;122(6):535-44
pubmed: 24610234
Environ Sci Technol. 2012 Oct 16;46(20):11195-205
pubmed: 22963366
Stat Appl Genet Mol Biol. 2004;3:Article18
pubmed: 16646796
Environ Sci Technol. 2015 Sep 1;49(17):10632-41
pubmed: 26168307
Environ Res. 2012 Aug;117:100-11
pubmed: 22726801
Int J Epidemiol. 2006 Oct;35(5):1146-50
pubmed: 16926217
Environ Health. 2013 Jan 15;12:6
pubmed: 23320899
Stat Med. 2011 Feb 20;30(4):377-99
pubmed: 21225900
Annu Rev Public Health. 2017 Mar 20;38:315-327
pubmed: 28125387
Int J Epidemiol. 2012 Feb;41(1):24-32
pubmed: 22296988
Curr Environ Health Rep. 2016 Sep;3(3):250-7
pubmed: 27220615
Environ Health Perspect. 2014 Oct;122(10):1095-102
pubmed: 25014041
Epidemiology. 2014 Jul;25(4):518-25
pubmed: 24787556
Environ Int. 2012 Nov 1;48:47-55
pubmed: 22836169
Acta Obstet Gynecol Scand. 2014 Aug;93(8):727-40
pubmed: 24834960
Environ Health Perspect. 2011 Nov;119(11):A466-7
pubmed: 22171373
Am J Epidemiol. 2009 May 1;169(9):1133-9
pubmed: 19318618
Int J Environ Res Public Health. 2017 Oct 19;14(10):
pubmed: 29048350
Circulation. 2012 Nov 20;126(21):2456-64
pubmed: 23093587
Environ Int. 2013 May;55:1-8
pubmed: 23454278
Occup Environ Med. 2015 Jun;72(6):383-4
pubmed: 25744973
Hum Genet. 2012 May;131(5):747-56
pubmed: 22143225
Environ Health. 2016 Mar 08;15 Suppl 1:38
pubmed: 26960529
Environ Health Perspect. 2012 Oct;120(10):1481-7
pubmed: 22899599
Environ Health Perspect. 2018 Jul 17;126(7):077005
pubmed: 30024382
Environ Health Perspect. 2015 Nov;123(11):1208-15
pubmed: 25978617
Br J Nutr. 2009 Feb;101(4):583-91
pubmed: 18631416
Cancer Epidemiol Biomarkers Prev. 2005 Aug;14(8):1847-50
pubmed: 16103423
Environ Pollut. 2017 Jun;225:700-712
pubmed: 28284544
BMJ Open. 2018 Sep 10;8(9):e021311
pubmed: 30206078
Lancet Respir Med. 2013 Nov;1(9):695-704
pubmed: 24429273
Int J Environ Res Public Health. 2009 Mar;6(3):1282-97
pubmed: 19440446
Environ Health Toxicol. 2015 Nov 03;30:e2015011
pubmed: 26796890
Int J Epidemiol. 2017 Feb 1;46(1):44-56
pubmed: 27059547
Int J Epidemiol. 2013 Dec;42(6):1795-810
pubmed: 24345851
BMJ Open. 2014 Apr 16;4(4):e004951
pubmed: 24740979
Environ Res. 2017 Jan;152:88-95
pubmed: 27743971
Soc Sci Med. 2016 Mar;153:156-64
pubmed: 26900890
Am J Epidemiol. 1989 Jan;129(1):125-37
pubmed: 2910056
Int J Epidemiol. 2017 Oct 1;46(5):1392-1393k
pubmed: 29040580
Epidemiology. 2017 Jan;28(1):63-71
pubmed: 27525811
Int J Hyg Environ Health. 2016 Jul;219(4-5):331-42
pubmed: 27216159
Int J Epidemiol. 2013 Aug;42(4):978-91
pubmed: 23064411
PLoS One. 2010 May 20;5(5):e10746
pubmed: 20505766
Environ Health Perspect. 2016 Dec;124(12):1848-1856
pubmed: 27219331
Hum Genet. 2013 May;132(5):495-508
pubmed: 23334806
Int J Epidemiol. 2012 Aug;41(4):930-40
pubmed: 21471022
Environ Health Perspect. 2014 Dec;122(12):1359-65
pubmed: 25248212
Int J Hyg Environ Health. 2013 Jun;216(3):217-29
pubmed: 22854276

Auteurs

Mark J Nieuwenhuijsen (MJ)

1 ISGlobal (Institute for Global Health) , Barcelona, Spain.
2 Universitat Pompeu Fabra (UPF) , Barcelona, Spain.
3 CIBER Epidemiología y Salud Pública (CIBERESP) , Madrid, Spain.

Lydiane Agier (L)

4 Team of environmental epidemiology applied to reproduction and respiratory health, Institut national de la santé et de la recherche médicale (Inserm, National Institute of Health & Medical Research), Institute for Advanced Biosciences (IAB), CNRS, Université Grenoble Alpes , Grenoble, France.

Xavier Basagaña (X)

1 ISGlobal (Institute for Global Health) , Barcelona, Spain.
2 Universitat Pompeu Fabra (UPF) , Barcelona, Spain.
3 CIBER Epidemiología y Salud Pública (CIBERESP) , Madrid, Spain.

Jose Urquiza (J)

1 ISGlobal (Institute for Global Health) , Barcelona, Spain.
2 Universitat Pompeu Fabra (UPF) , Barcelona, Spain.
3 CIBER Epidemiología y Salud Pública (CIBERESP) , Madrid, Spain.

Ibon Tamayo-Uria (I)

5 Department of Statistics, Faculty of Arts and Sciences, Harvard University , Cambridge, Massachusetts, USA.

Lise Giorgis-Allemand (L)

4 Team of environmental epidemiology applied to reproduction and respiratory health, Institut national de la santé et de la recherche médicale (Inserm, National Institute of Health & Medical Research), Institute for Advanced Biosciences (IAB), CNRS, Université Grenoble Alpes , Grenoble, France.

Oliver Robinson (O)

6 MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London , London, UK.

Valérie Siroux (V)

4 Team of environmental epidemiology applied to reproduction and respiratory health, Institut national de la santé et de la recherche médicale (Inserm, National Institute of Health & Medical Research), Institute for Advanced Biosciences (IAB), CNRS, Université Grenoble Alpes , Grenoble, France.

Léa Maitre (L)

1 ISGlobal (Institute for Global Health) , Barcelona, Spain.
2 Universitat Pompeu Fabra (UPF) , Barcelona, Spain.
3 CIBER Epidemiología y Salud Pública (CIBERESP) , Madrid, Spain.

Montserrat de Castro (M)

1 ISGlobal (Institute for Global Health) , Barcelona, Spain.
2 Universitat Pompeu Fabra (UPF) , Barcelona, Spain.
3 CIBER Epidemiología y Salud Pública (CIBERESP) , Madrid, Spain.

Antonia Valentin (A)

1 ISGlobal (Institute for Global Health) , Barcelona, Spain.
2 Universitat Pompeu Fabra (UPF) , Barcelona, Spain.
3 CIBER Epidemiología y Salud Pública (CIBERESP) , Madrid, Spain.

David Donaire (D)

1 ISGlobal (Institute for Global Health) , Barcelona, Spain.
2 Universitat Pompeu Fabra (UPF) , Barcelona, Spain.
3 CIBER Epidemiología y Salud Pública (CIBERESP) , Madrid, Spain.

Payam Dadvand (P)

1 ISGlobal (Institute for Global Health) , Barcelona, Spain.
2 Universitat Pompeu Fabra (UPF) , Barcelona, Spain.
3 CIBER Epidemiología y Salud Pública (CIBERESP) , Madrid, Spain.

Gunn Marit Aasvang (GM)

7 Norwegian Institute of Public Health (NIPH) , Oslo, Norway.

Norun Hjertager Krog (NH)

7 Norwegian Institute of Public Health (NIPH) , Oslo, Norway.

Per E Schwarze (PE)

7 Norwegian Institute of Public Health (NIPH) , Oslo, Norway.

Leda Chatzi (L)

6 MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London , London, UK.
8 Department of Preventive Medicine, Keck School of Medicine, University of Southern California , Los Angeles, USA.
9 Department of Social Medicine, University of Crete , Greece.
10 Department of Genetics & Cell Biology, Faculty of Health, Medicine and Life Sciences, Maastricht University , Maastricht, Netherlands.

Regina Grazuleviciene (R)

11 Vytauto Didžiojo Universitetas , Kaunas, Lithuania.

Sandra Andrusaityte (S)

11 Vytauto Didžiojo Universitetas , Kaunas, Lithuania.

Audrius Dedele (A)

11 Vytauto Didžiojo Universitetas , Kaunas, Lithuania.

Rosie McEachan (R)

12 Bradford Institute for Health Research Bradford , Bradford, UK.

John Wright (J)

12 Bradford Institute for Health Research Bradford , Bradford, UK.

Jane West (J)

12 Bradford Institute for Health Research Bradford , Bradford, UK.

Jesús Ibarluzea (J)

3 CIBER Epidemiología y Salud Pública (CIBERESP) , Madrid, Spain.
13 Faculty of Psychology, University of the Basque Country UPV/EHU , San Sebastian, Basque Country, Spain.
14 Health Research Institute, BIODONOSTIA , San Sebastian, Basque Country, Spain.
15 Sub-Directorate for Public Health of Gipuzkoa, Department of Health, Government of the Basque Country , San Sebastian, Basque Country, Spain.

Ferran Ballester (F)

2 Universitat Pompeu Fabra (UPF) , Barcelona, Spain.
3 CIBER Epidemiología y Salud Pública (CIBERESP) , Madrid, Spain.
16 Nursing School, Universitat de València , Valencia, Spain.
17 Joint Research Unit of Epidemiology and Environmental Health, FISABIO-Universitat Jaume I-Universitat de València , Valencia, Spain.

Martine Vrijheid (M)

1 ISGlobal (Institute for Global Health) , Barcelona, Spain.
2 Universitat Pompeu Fabra (UPF) , Barcelona, Spain.
3 CIBER Epidemiología y Salud Pública (CIBERESP) , Madrid, Spain.

Rémy Slama (R)

4 Team of environmental epidemiology applied to reproduction and respiratory health, Institut national de la santé et de la recherche médicale (Inserm, National Institute of Health & Medical Research), Institute for Advanced Biosciences (IAB), CNRS, Université Grenoble Alpes , Grenoble, France.

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