Early-Life Environmental Exposures and Childhood Obesity: An Exposome-Wide Approach

Autor: John Wright, Valérie Siroux, Lydiane Agier, Cathrine Thomsen, Jordi Sunyer, Xavier Basagaña, Antònia Valentín, Sandra Andrusaityte, Rosemary R. C. McEachan, Serena Fossati, Eleni Papadopouplou, Leda Chatzi, Oliver Robinson, Marina Vafeiadi, Mark J. Nieuwenhuijsen, Martine Vrijheid, Charline Warembourg, Rémy Slama, Amrit Kaur Sakhi, David Donaire-Gonzalez, Theano Roumeliotaki, Jose Urquiza, Sandra Marquez, Per E. Schwarze, Solène Cadiou, Léa Maitre, Line Småstuen Haug, Maribel Casas, Ibon Tamayo-Uria, Helle Margrete Meltzer, Regina Grazuleviciene, Montserrat de Castro, Audrius Dedele
Přispěvatelé: Medical Research Council (MRC), Institut National de la Santé et de la Recherche Médicale (INSERM), Institute for Advanced Biosciences / Institut pour l'Avancée des Biosciences (Grenoble) (IAB), Etablissement français du sang - Auvergne-Rhône-Alpes (EFS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre Hospitalier Universitaire [Grenoble] (CHU)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA), Université Grenoble Alpes (UGA)
Rok vydání: 2020
Předmět:
Male
MESH: Air Pollutants
[SDV]Life Sciences [q-bio]
Health
Toxicology and Mutagenesis

05 Environmental Sciences
010501 environmental sciences
Overweight
Toxicology
01 natural sciences
Body Mass Index
MESH: Skinfold Thickness
chemistry.chemical_compound
MESH: Pregnancy
0302 clinical medicine
Pregnancy
MESH: Child
MESH: Obesity
030212 general & internal medicine
Child
11 Medical and Health Sciences
MESH: Exposome
2. Zero hunger
Air Pollutants
Smoking
3. Good health
Exposome
Skinfold Thickness
MESH: Environmental Pollutants
MESH: Waist Circumference
[SDE]Environmental Sciences
Environmental Pollutants
Female
Waist Circumference
medicine.symptom
MESH: Air Pollution
MESH: Smoking
Waist
Nitrogen Dioxide
MESH: Environmental Exposure
Phthalic Acids
MESH: Nitrogen Dioxide
Childhood obesity
MESH: Body Mass Index
03 medical and health sciences
Air Pollution
Environmental health
medicine
Humans
Obesity
0105 earth and related environmental sciences
business.industry
Research
Public Health
Environmental and Occupational Health

Environmental Exposure
MESH: Phthalic Acids
medicine.disease
chemistry
[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie
business
Cotinine
Body mass index
Zdroj: Environmental Health Perspectives
Environmental Health Perspectives, National Institute of Environmental Health Sciences, 2020, 128 (6), pp.067009. ⟨10.1289/EHP5975⟩
ISSN: 1552-9924
0091-6765
Popis: Background: Chemical and nonchemical environmental exposures are increasingly suspected to influence the development of obesity, especially during early life, but studies mostly consider single exposure groups. Objectives: Our study aimed to systematically assess the association between a wide array of early-life environmental exposures and childhood obesity, using an exposome-wide approach. Methods: The HELIX (Human Early Life Exposome) study measured child body mass index (BMI), waist circumference, skinfold thickness, and body fat mass in 1,301 children from six European birth cohorts age 6-11 y. We estimated 77 prenatal exposures and 96 childhood exposures (cross-sectionally), including indoor and outdoor air pollutants, built environment, green spaces, tobacco smoking, and biomarkers of chemical pollutants (persistent organic pollutants, metals, phthalates, phenols, and pesticides). We used an exposure-wide association study (ExWAS) to screen all exposure-outcome associations independently and used the deletion-substitution-addition (DSA) variable selection algorithm to build a final multiexposure model. Results: The prevalence of overweight and obesity combined was 28.8%. Maternal smoking was the only prenatal exposure variable associated with higher child BMI (z-score increase of 0.28, 95% confidence interval: 0.09, 0.48, for active vs. no smoking). For childhood exposures, the multiexposure model identified particulate and nitrogen dioxide air pollution inside the home, urine cotinine levels indicative of secondhand smoke exposure, and residence in more densely populated areas and in areas with fewer facilities to be associated with increased child BMI. Child blood levels of copper and cesium were associated with higher BMI, and levels of organochlorine pollutants, cobalt, and molybdenum were associated with lower BMI. Similar results were found for the other adiposity outcomes. Discussion: This first comprehensive and systematic analysis of many suspected environmental obesogens strengthens evidence for an association of smoking, air pollution exposure, and characteristics of the built environment with childhood obesity risk. Cross-sectional biomarker results may suffer from reverse causality bias, whereby obesity status influenced the biomarker concentration. https://doi.org/10.1289/EHP5975. This study received funding from the European Community’s Seventh Framework Programme (FP7/2007-2013) under grant agreement no. 308333 – the HELIX project for data collection and analyses. The HELIX program built on six existing cohorts that received previous funding, including the major ones listed below. INMA data collections were supported by grants from the Instituto de Salud Carlos III, CIBERESP, and the Generalitat de Catalunya-CIRIT. KANC was funded by the grant of the Lithuanian Agency for Science Innovation and Technology (6-04-2014_31V-66). The Norwegian Mother and Child Cohort Study (MoBa) is supported by the Norwegian Ministry of Health and the Ministry of Education and Research, National Institutes of Health (NIH)/ National Institute of Environmental Health Sciences (NIEHS) (contract no. N01-ES-75558), and NIH/NINDS (grants 1 UO1 NS 047537-01 and 2 UO1 NS 047537-06A1). The Rhea project was financially supported by European projects and the Greek Ministry of Health (Program of Prevention of Obesity and Neurodevelopmental Disorders in Preschool Children in Heraklion district, Crete, Greece: 2011–2014; “Rhea Plus,” Primary Prevention Program of Environmental Risk Factors for Reproductive Health, and Child Health: 2012–2015). M.C. received funding from Instituto de Salud Carlos III (Ministry of Economy and Competitiveness) (MS16/00128). L.C. was supported by the NIH/NIEHS grants R21ES029681, R01ES030691, R01ES029944, R01 ES030364, R21ES028903, and P30ES007048.
Databáze: OpenAIRE