Please use this identifier to cite or link to this item:https://hdl.handle.net/20.500.12259/111974
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: Ekologija ir aplinkotyra / Ecology and environmental sciences (N012)
Author(s): Vrijheid, Martine;Fossati, Serena;Maitre, Léa;Marquez, Sandra;Roumeliotaki, Theano;Agier, Lydiane;Andrušaitytė, Sandra;Cadiou, Solène;Casas, Maribe;Castro, Montserrat de;Dėdelė, Audrius;Donaire-Gonzalez, David;Gražulevičienė, Regina;Haug, Line S;McEachan, Rosemary R. C;Meltzer, Helle Margrete;Papadopoulou, Eleni;Robinson, Oliver;Sakhi, Amrit K;Siroux, Valérie;Sunyer, Jordi;Schwarze, Per E;Tamayo-Uria, Ibon;Urquiza, Jose;Vafeiadi, Marina;Valentín, Antònia;Warembourg, Charline;Wright, John;Nieuwenhuijsen, Mark J;Thomsen, Cathrine;Basagaña, Xavier;Slama, Rémy;Chatzi, Leda
Title: Early-life environmental exposures and childhood obesity: an exposome-wide approach
Is part of: Environmental health perspectives. Research Triangle Park, USA : National Institute of Environmental Health Sciences, 2020, vol. 128, iss. 6
Extent: p. 1-14
Date: 2020
Note: no. 067009-1
Keywords: Vaikai;Ekspozicija;Nutukimas;Children;Exposure;Obesity
Abstract: 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 (crosssectionally), 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. [...]
Internet: https://ehp.niehs.nih.gov/doi/pdf/10.1289/EHP5975
https://doi.org/10.1289/EHP5975
Affiliation(s): Aplinkotyros katedra
Vytauto Didžiojo universitetas
Appears in Collections:Universiteto mokslo publikacijos / University Research Publications

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