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Torres Toda M, Avraam D, James Cadman T, Fossati S, de Castro M, Dedele A, Donovan G, Elhakeem A, Estarlich M, Fernandes A, Gonçalves R, Grazuleviciene R, Harris JR, Harskamp-van Ginkel MW, Heude B, Ibarluzea J, Iñiguez C, Wv Jaddoe V, Lawlor D, Lertxundi A, Lepeule J, McEachan R, Moirano G, Lt Nader J, Nybo Andersen AM, Pedersen M, Pizzi C, Roumeliotaki T, Santos S, Sunyer J, Yang T, Vafeiadi M, Gm Vrijkotte T, Nieuwenhuijsen M, Vrijheid M, Foraster M, Dadvand P. Exposure to natural environments during pregnancy and birth outcomes in 11 European birth cohorts. Environ Int 2022; 170:107648. [PMID: 36436464 DOI: 10.1016/j.envint.2022.107648] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Revised: 09/25/2022] [Accepted: 11/18/2022] [Indexed: 06/16/2023]
Abstract
Research suggests that maternal exposure to natural environments (i.e., green and blue spaces) promotes healthy fetal growth. However, the available evidence is heterogeneous across regions, with very few studies on the effects of blue spaces. This study evaluated associations between maternal exposure to natural environments and birth outcomes in 11 birth cohorts across nine European countries. This study, part of the LifeCycle project, was based on a total sample size of 69,683 newborns with harmonised data. For each participant, we calculated seven indicators of residential exposure to natural environments: surrounding greenspace in 100m, 300m, and 500m using Normalised Difference Vegetation Index (NDVI) buffers, distance to the nearest green space, accessibility to green space, distance to the nearest blue space, and accessibility to blue space. Measures of birth weight and small for gestational age (SGA) were extracted from hospital records. We used pooled linear and logistic regression models to estimate associations between exposure to the natural environment and birth outcomes, controlling for the relevant covariates. We evaluated the potential effect modification by socioeconomic status (SES) and region of Europe and the influence of ambient air pollution on the associations. In the pooled analyses, residential surrounding greenspace in 100m, 300m, and 500m buffer was associated with increased birth weight and lower odds for SGA. Higher residential distance to green space was associated with lower birth weight and higher odds for SGA. We observed close to null associations for accessibility to green space and exposure to blue space. We found stronger estimated magnitudes for those participants with lower educational levels, from more deprived areas, and living in the northern European region. Our associations did not change notably after adjustment for air pollution. These findings may support implementing policies to promote natural environments in our cities, starting in more deprived areas.
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Affiliation(s)
- Maria Torres Toda
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Pompeu Fabra University, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5. Pabellón 11, 28029, Madrid, Spain.
| | - Demetris Avraam
- Population Health Sciences Institute, Newcastle University, Newcastle, UK; Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
| | - Timothy James Cadman
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark; Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Bristol, UK.
| | - Serena Fossati
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Pompeu Fabra University, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5. Pabellón 11, 28029, Madrid, Spain.
| | - Montserrat de Castro
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Pompeu Fabra University, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5. Pabellón 11, 28029, Madrid, Spain.
| | - Audrius Dedele
- Department of Environmental Sciences, Faculty of Natural Sciences, Vytautas Magnus University, 53361 Akademija, Lithuania.
| | - Geoffrey Donovan
- Center for Public Health Research, Massey University-Wellington Campus, PO Box 756, Wellington 6140, New Zealand; USDA Forest Service, PNW Research Station, 620 SW Main, Suite 502, Portland, OR 97205, USA.
| | - Ahmed Elhakeem
- Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Bristol, UK; Population Health Science, Bristol Medical School, University of Bristol, UK.
| | - Marisa Estarlich
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5. Pabellón 11, 28029, Madrid, Spain; Epidemiology and Environmental Health Joint Research Unit, Foundation for the Promotion of Health and Biomedical Research in the Valencian Region, FISABIO-Public Health, FISABIO-Universitat Jaume I-Universitat de València, Av. Catalunya 21, 46020, Valencia, Spain; Nursing School, Universitat de València, C/Menendez y Pelayo, s/n, 46010, Valencia, Spain.
| | - Amanda Fernandes
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain.
| | - Romy Gonçalves
- The Generation R Study Group (NA-2915), Erasmus Medical Center, University Medical Center, PO Box 2040, 3000 CA Rotterdam, the Netherlands; Department of Obstetrics and Gynaecology, Erasmus MC, University Medical Centre Rotterdam, Rotterdam, the Netherlands.
| | - Regina Grazuleviciene
- Department of Environmental Sciences, Faculty of Natural Sciences, Vytautas Magnus University, 53361 Akademija, Lithuania.
| | - Jennifer R Harris
- Center for Fertility and Health, The Nowegian Institute of Public Health, Oslo, Norway.
| | - Margreet W Harskamp-van Ginkel
- Amsterdam UMC, University of Amsterdam, Department of Public and Occupational Health, Amsterdam Public Health research institute, Meibergdreef 9, Amsterdam, Netherlands.
| | - Barbara Heude
- Université de Paris Cité, Inserm, INRAE, Centre of Research in Epidemiology and StatisticS (CRESS), F-75004 Paris, France.
| | - Jesús Ibarluzea
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5. Pabellón 11, 28029, Madrid, Spain; Biodonostia Health Research Institute, Environmental Epidemiology and Child Development Group, 20014, San Sebastian, Spain; Ministry of Health of the Basque Government, Sub-Directorate for Public Health and Addictions of Gipuzkoa, 20013, San Sebastian, Spain; Faculty of Psychology of the University of the Basque Country, 20018, San Sebastian, Spain.
| | - Carmen Iñiguez
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5. Pabellón 11, 28029, Madrid, Spain; Epidemiology and Environmental Health Joint Research Unit, Foundation for the Promotion of Health and Biomedical Research in the Valencian Region, FISABIO-Public Health, FISABIO-Universitat Jaume I-Universitat de València, Av. Catalunya 21, 46020, Valencia, Spain; Department of Statistics and Operational Research, Universitat de València, Dr. Moliner, 50 46100, Valencia, Spain.
| | - Vincent Wv Jaddoe
- The Generation R Study Group (NA-2915), Erasmus Medical Center, University Medical Center, PO Box 2040, 3000 CA Rotterdam, the Netherlands; Department of Pediatrics, Erasmus Medical Center, University Medical Center, PO Box 2040, 3000 CA Rotterdam, the Netherlands.
| | - Deborah Lawlor
- Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Bristol, UK; Population Health Science, Bristol Medical School, University of Bristol, UK.
| | - Aitana Lertxundi
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5. Pabellón 11, 28029, Madrid, Spain; Biodonostia Health Research Institute, Environmental Epidemiology and Child Development Group, 20014, San Sebastian, Spain; Department of Preventive Medicine and Public Health, Faculty of Medicine, University of the Basque Country (UPV/EHU), 48940, Leioa, Spain.
| | - Johanna Lepeule
- Université Grenoble Alpes, Institut Albert Bonniot, équipe d'épidémiologie environnementale appliquée à la reproduction et la santé respiratoire, F-38000 Grenoble, France; Inserm, Institut Albert Bonniot, équipe d'épidémiologie environnementale appliquée à la reproduction et la santé respiratoire, F-38000 Grenoble, France.
| | - Rosemary McEachan
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK.
| | - Giovenale Moirano
- Department of Medical Sciences, University of Turin, CPO-Piemonte, Turin, Italy.
| | - Johanna Lt Nader
- Department of Genetics and Bioinformatics, Division of Health Data and Digitalisation, Norwegian Institute of Public Health, Oslo, Norway.
| | - Anne-Marie Nybo Andersen
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
| | - Marie Pedersen
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
| | - Costanza Pizzi
- Department of Medical Sciences, University of Turin, CPO-Piemonte, Turin, Italy.
| | - Theano Roumeliotaki
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Department of Social Medicine, School of Medicine, University of Crete, Greece.
| | - Susana Santos
- The Generation R Study Group (NA-2915), Erasmus Medical Center, University Medical Center, PO Box 2040, 3000 CA Rotterdam, the Netherlands; Department of Pediatrics, Erasmus Medical Center, University Medical Center, PO Box 2040, 3000 CA Rotterdam, the Netherlands; EPIUnit - Instituto de Saúde Pública, Universidade do Porto, Rua das Taipas, n° 135, 4050-600 Porto, Portugal; Laboratório para a Investigação Integrativa e Translacional em Saúde Populacional (ITR), Universidade do Porto, Rua das Taipas, n° 135, 4050-600, Portugal.
| | - Jordi Sunyer
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Pompeu Fabra University, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5. Pabellón 11, 28029, Madrid, Spain.
| | - Tiffany Yang
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK.
| | - Marina Vafeiadi
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Department of Social Medicine, School of Medicine, University of Crete, Greece.
| | - Tanja Gm Vrijkotte
- Amsterdam UMC, University of Amsterdam, Department of Public and Occupational Health, Amsterdam Public Health research institute, Meibergdreef 9, Amsterdam, Netherlands.
| | - Mark Nieuwenhuijsen
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Pompeu Fabra University, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5. Pabellón 11, 28029, Madrid, Spain.
| | - Martine Vrijheid
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Pompeu Fabra University, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5. Pabellón 11, 28029, Madrid, Spain.
| | - Maria Foraster
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Pompeu Fabra University, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5. Pabellón 11, 28029, Madrid, Spain.
| | - Payam Dadvand
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Pompeu Fabra University, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5. Pabellón 11, 28029, Madrid, Spain.
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Li Y, Wang X, Feary McKenzie J, 't Mannetje A, Cheng S, He C, Leathem J, Pearce N, Sunyer J, Eskenazi B, Yeh R, Aylward LL, Donovan G, Mueller JF, Douwes J. Pesticide exposure in New Zealand school-aged children: Urinary concentrations of biomarkers and assessment of determinants. Environ Int 2022; 163:107206. [PMID: 35395578 DOI: 10.1016/j.envint.2022.107206] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Revised: 03/21/2022] [Accepted: 03/22/2022] [Indexed: 06/14/2023]
Abstract
This study aimed to assess pesticide exposure and its determinants in children aged 5-14 years. Urine samples (n = 953) were collected from 501 participating children living in urban areas (participant n = 300), rural areas but not on a farm (n = 76), and living on a farm (n = 125). The majority provided two samples, one in the high and one in the low spraying season. Information on diet, lifestyle, and demographic factors was collected by questionnaire. Urine was analysed for 20 pesticide biomarkers by GC-MS/MS and LC-MS/MS. Nine analytes were detected in > 80% of samples, including six organophosphate insecticide metabolites (DMP, DMTP, DEP, DETP, TCPy, PNP), two pyrethroid insecticide metabolites (3-PBA, trans-DCCA), and one herbicide (2,4-D). The highest concentration was measured for TCPy (median 13 μg/g creatinine), a metabolite of chlorpyrifos and triclopyr, followed by DMP (11 μg/g) and DMTP (3.7 μg/g). Urine metabolite levels were generally similar or low compared to those reported for other countries, while relatively high for TCPy and pyrethroid metabolites. Living on a farm was associated with higher TCPy levels during the high spray season. Living in rural areas, dog ownership and in-home pest control were associated with higher levels of pyrethroid metabolites. Urinary concentrations of several pesticide metabolites were higher during the low spraying season, possibly due to consumption of imported fruits and vegetables. Organic fruit consumption was not associated with lower urine concentrations, but consumption of organic food other than fruit or vegetables was associated with lower concentrations of TCPy in the high spray season. In conclusion, compared to other countries such as the U.S., New Zealand children had relatively high exposures to chlorpyrifos/triclopyr and pyrethroids. Factors associated with exposure included age, season, area of residence, diet, in-home pest control, and pets.
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Affiliation(s)
- Yan Li
- QAEHS, Queensland Alliance for Environmental Health Sciences, The University of Queensland, 20 Cornwall Street, Woolloongabba, Queensland 4102, Australia
| | - Xianyu Wang
- QAEHS, Queensland Alliance for Environmental Health Sciences, The University of Queensland, 20 Cornwall Street, Woolloongabba, Queensland 4102, Australia.
| | - Jean Feary McKenzie
- Centre for Public Health Research, Massey University. PO Box 756, Wellington 6140, New Zealand
| | - Andrea 't Mannetje
- Centre for Public Health Research, Massey University. PO Box 756, Wellington 6140, New Zealand
| | - Soo Cheng
- Centre for Public Health Research, Massey University. PO Box 756, Wellington 6140, New Zealand
| | - Chang He
- QAEHS, Queensland Alliance for Environmental Health Sciences, The University of Queensland, 20 Cornwall Street, Woolloongabba, Queensland 4102, Australia
| | - Janet Leathem
- School of Psychology, Massey University, PO Box 756, Wellington 6140, New Zealand
| | - Neil Pearce
- Department of Medical Statistics, London School of Hygiene and Tropical Medicine. London WC1E 7HT, UK
| | - Jordi Sunyer
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Catalonia, Spain
| | - Brenda Eskenazi
- Center for Environmental Research and Community Health (CERCH), School of Public Health, University of California,1995 University Ave, Berkeley, CA 94720, United States
| | - Ruby Yeh
- QAEHS, Queensland Alliance for Environmental Health Sciences, The University of Queensland, 20 Cornwall Street, Woolloongabba, Queensland 4102, Australia
| | - Lesa L Aylward
- QAEHS, Queensland Alliance for Environmental Health Sciences, The University of Queensland, 20 Cornwall Street, Woolloongabba, Queensland 4102, Australia; Summit Toxicology, LLP, 22044, Falls Church, VA, USA
| | - Geoffrey Donovan
- Centre for Public Health Research, Massey University. PO Box 756, Wellington 6140, New Zealand; USDA Forest Service, PNW Research Station, Portland, OR, USA
| | - Jochen F Mueller
- QAEHS, Queensland Alliance for Environmental Health Sciences, The University of Queensland, 20 Cornwall Street, Woolloongabba, Queensland 4102, Australia
| | - Jeroen Douwes
- Centre for Public Health Research, Massey University. PO Box 756, Wellington 6140, New Zealand
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5
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Comess S, Donovan G, Gatziolis D, Deziel NC. Exposure to atmospheric metals using moss bioindicators and neonatal health outcomes in Portland, Oregon. Environ Pollut 2021; 284:117343. [PMID: 34030082 DOI: 10.1016/j.envpol.2021.117343] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Revised: 03/07/2021] [Accepted: 05/07/2021] [Indexed: 06/12/2023]
Abstract
Studying the impacts of prenatal atmospheric heavy-metal exposure is challenging, because biological exposure monitoring does not distinguish between specific sources, and high-resolution air monitoring data is lacking for heavy metals. Bioindicators - animal or plant species that can capture environmental quality - are a low-cost tool for evaluating exposure to atmospheric heavy-metal pollution that have received little attention in the public-health literature. We obtained birth records for Portland, Oregon live births (2008-2014) and modeled metal concentrations derived from 346 samples of moss bioindicators collected in 2013. Exposure estimates were assigned using mother's residential address at birth for six metals with known toxic and estrogenic effects (arsenic, cadmium, chromium, cobalt, nickel, lead). Associations were evaluated for continuous (cts) and quartile-based (Q) metal estimates and three birth outcomes (preterm birth (PTB; <37 weeks)), very PTB (vPTB; <32 weeks), small for gestational age (SGA; 10th percentile of weight by age and sex)) using logistic regression models with adjustment for demographic characteristics, and stratified by maternal race. Chromium and cobalt were associated with increased odds of vPTB (chromium - odds ratio (OR)cts = 1.09, 95% CI: 1.00, 1.17; cobalt - ORQ4vsQ1 = 1.33, 95% CI: 1.03, 1.71). Cobalt, chromium and cadmium were significantly associated with odds of SGA, although the direction of association differed by metal (cobalt - ORcts = 1.04, 95% CI: 1.01, 1.07; chromium - ORQ3vsQ1 = 0.91, 95% CI: 0.83, 0.99; cadmium - ORcts = 0.96, 95% CI: 0.93, 1.00). In stratified analyses, odds of SGA were significantly different among non-white mothers compared to white mothers with exposure to chromium, cobalt, lead and nickel. This novel application of a moss-based exposure metric found that exposure to some atmospheric metals is associated with adverse birth outcomes. These findings are consistent with previous literature and suggest that moss bioindicators are a useful complement to traditional exposure-assessment methods.
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Affiliation(s)
- Saskia Comess
- Environmental Health Sciences, Yale School of Public Health, Yale University, New Haven, CT, 06510, USA
| | - Geoffrey Donovan
- USDA Forest Service, PNW Research Station, 620 SW Main, Suite 502, Portland, OR, 97205, USA.
| | - Demetrios Gatziolis
- USDA Forest Service, PNW Research Station, 620 SW Main, Suite 502, Portland, OR, 97205, USA
| | - Nicole C Deziel
- Environmental Health Sciences, Yale School of Public Health, Yale University, New Haven, CT, 06510, USA
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