Léa Maitre1, Jordi Julvez2, Monica López-Vicente3, Charline Warembourg3, Ibon Tamayo-Uria4, Claire Philippat5, Kristine B Gützkow6, Monica Guxens7, Sandra Andrusaityte8, Xavier Basagaña3, Maribel Casas3, Montserrat de Castro3, Leda Chatzi9, Jorunn Evandt6, Juan R Gonzalez3, Regina Gražulevičienė8, Line Smastuen Haug6, Barbara Heude10, Carles Hernandez-Ferrer3, Mariza Kampouri11, Dan Manson12, Sandra Marquez3, Rosie McEachan12, Mark Nieuwenhuijsen3, Oliver Robinson13, Remy Slama5, Cathrine Thomsen6, Jose Urquiza3, Marina Vafeidi11, John Wright12, Martine Vrijheid3. 1. ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiologa y Salud Pública (CIBERESP), Madrid, Spain. Electronic address: lea.maitre@isglobal.org. 2. ISGlobal, Barcelona, Spain; CIBER Epidemiologa y Salud Pública (CIBERESP), Madrid, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Hospital Universitari Sant Joan de Reus, Reus, Spain. 3. ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiologa y Salud Pública (CIBERESP), Madrid, Spain. 4. ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiologa y Salud Pública (CIBERESP), Madrid, Spain; Division of Immunology and Immunotherapy, Cima Universidad de Navarra and "Instituto de Investigación Sanitaria de Navarra (IdISNA)", Pamplona, Spain. 5. INSERM, Univ. Grenoble Alpes, CNRS, IAB (Institute of Advanced Biosciences), Team of Environmental Epidemiology Applied to Reproduction and Respiratory Health, Grenoble, France. 6. Department of Environment and Health, Norwegian Institute of Public Health, Oslo, Norway. 7. ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiologa y Salud Pública (CIBERESP), Madrid, Spain; Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Centre-Sophia Children's Hospital, PO Box 2060, 3000 CB Rotterdam, the Netherlands. 8. Vytauto Didziojo Universitetas (VDU), Kaunas, Lithuania. 9. Department of Preventive Medicine, Keck School of Medicine at USC, Los Angeles, USA. 10. Université de Paris, Center for Research in Epidemiology and StatisticS (CRESS), INSERM, INRA, F-75004 Paris, France. 11. Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Greece. 12. Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK. 13. MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom.
Abstract
BACKGROUND: Environmental exposures in early life influence the development of behavioral outcomes in children, but research has not considered multiple exposures. We therefore aimed to investigate the impact of a broad spectrum of pre- and postnatal environmental exposures on child behavior. METHODS AND FINDINGS: We used data from the HELIX (Human Early Life Exposome) project, which was based on six longitudinal population-based birth cohorts in Europe. At 6-11 years, children underwent a follow-up to characterize their exposures and assess behavioral problems. We measured 88 prenatal and 123 childhood environmental factors, including outdoor, indoor, chemical, lifestyle and social exposures. Parent-reported behavioral problems included (1) internalizing, (2) externalizing scores, using the child behavior checklist (CBCL), and (3) the Conner's Attention Deficit Hyperactivity Disorder (ADHD) index, all outcomes being discrete raw counts. We applied LASSO penalized negative binomial regression models to identify which exposures were associated with the outcomes, while adjusting for co-exposures. In the 1287 children (mean age 8.0 years), 7.3% had a neuropsychiatric medical diagnosis according to parent's reports. During pregnancy, smoking and car traffic showing the strongest associations (e.g. smoking with ADHD index, aMR:1.31 [1.09; 1.59]) among the 13 exposures selected by LASSO, for at least one of the outcomes. During childhood, longer sleep duration, healthy diet and higher family social capital were associated with reduced scores whereas higher exposure to lead, copper, indoor air pollution, unhealthy diet were associated with increased scores. Unexpected decreases in behavioral scores were found with polychlorinated biphenyls (PCBs) and organophosphate (OP) pesticides. CONCLUSIONS: Our systematic exposome approach identified several environmental contaminants and healthy lifestyle habits that may influence behavioral problems in children. Modifying environmental exposures early in life may limit lifetime mental health risk.
BACKGROUND: Environmental exposures in early life influence the development of behavioral outcomes in children, but research has not considered multiple exposures. We therefore aimed to investigate the impact of a broad spectrum of pre- and postnatal environmental exposures on child behavior. METHODS AND FINDINGS: We used data from the HELIX (Human Early Life Exposome) project, which was based on six longitudinal population-based birth cohorts in Europe. At 6-11 years, children underwent a follow-up to characterize their exposures and assess behavioral problems. We measured 88 prenatal and 123 childhood environmental factors, including outdoor, indoor, chemical, lifestyle and social exposures. Parent-reported behavioral problems included (1) internalizing, (2) externalizing scores, using the child behavior checklist (CBCL), and (3) the Conner's Attention Deficit Hyperactivity Disorder (ADHD) index, all outcomes being discrete raw counts. We applied LASSO penalized negative binomial regression models to identify which exposures were associated with the outcomes, while adjusting for co-exposures. In the 1287 children (mean age 8.0 years), 7.3% had a neuropsychiatric medical diagnosis according to parent's reports. During pregnancy, smoking and car traffic showing the strongest associations (e.g. smoking with ADHD index, aMR:1.31 [1.09; 1.59]) among the 13 exposures selected by LASSO, for at least one of the outcomes. During childhood, longer sleep duration, healthy diet and higher family social capital were associated with reduced scores whereas higher exposure to lead, copper, indoor air pollution, unhealthy diet were associated with increased scores. Unexpected decreases in behavioral scores were found with polychlorinated biphenyls (PCBs) and organophosphate (OP) pesticides. CONCLUSIONS: Our systematic exposome approach identified several environmental contaminants and healthy lifestyle habits that may influence behavioral problems in children. Modifying environmental exposures early in life may limit lifetime mental health risk.
Authors: Lisa B Rokoff; Jessica R Shoaff; Brent A Coull; Michelle Bosquet Enlow; David C Bellinger; Susan A Korrick Journal: Environ Res Date: 2022-01-10 Impact factor: 6.498
Authors: Binquan Liu; Xinyu Fang; Esben Strodl; Guanhao He; Zengliang Ruan; Ximeng Wang; Li Liu; Weiqing Chen Journal: Int J Environ Res Public Health Date: 2022-08-23 Impact factor: 4.614