1
|
Ibarluzea J, Gallastegi M, Santa-Marina L, Jiménez Zabala A, Arranz E, Molinuevo A, Lopez-Espinosa MJ, Ballester F, Villanueva CM, Riano I, Sunyer J, Tardon A, Lertxundi A. Prenatal exposure to fluoride and neuropsychological development in early childhood: 1-to 4 years old children. Environ Res 2022; 207:112181. [PMID: 34627799 DOI: 10.1016/j.envres.2021.112181] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [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: 04/11/2021] [Revised: 09/21/2021] [Accepted: 10/03/2021] [Indexed: 05/28/2023]
Abstract
BACKGROUND Cross-sectional and prospective studies have provided evidence of the neurotoxic effect of early exposure to fluoride (F) in pregnancy. It has been negatively associated with cognitive development during childhood, with most research conducted in areas with high F levels in community drinking water (CDW). METHOD Data from 316 to 248 mother-child pairs from the Infancia y Medio Ambiente (Childhood and Environment, INMA) birth cohort project with maternal urinary F level adjusted for creatinine (MUFcr) measurements in the first and third trimesters of pregnancy. Children's cognitive domains and intelligence indexes were evaluated using the Bayley Scales (age of 1) and the McCarthy Scales (age of 4). Multiple linear regression analyses were carried out adjusting for a wide range of covariates related to the child, mother, family context and other potential neurotoxicants. RESULTS No association was found between MUFcr levels and Bayley Mental Development Index score. Nevertheless, regarding the McCarthy scales, it was found that per unit (mg/g) of MUFcr across the whole pregnancy, scores in boys were greater for the verbal, performance, numeric and memory domains (β = 13.86, CI 95%: 3.91, 23.82), (β = 5.86, CI 95%: 0.32, 11.39), (β = 6.22, CI 95%: 0.65, 11.79) and (β = 11.63, CI 95%: 2.62, 20.63) respectively and for General Cognitive Index (β = 15.4, CI 95%: 6.32, 24.48). For girls there was not any cognitive score significantly associated with MUFcr, being the sex-F interactions significant (P interaction <0.05). Including other toxicants levels, quality of family context or deprivation index did not substantially change the results. CONCLUSIONS In boys, positive associations were observed between MUFcr and scores in cognitive domains at the age of 4. These findings are inconsistent with those from some previous studies and indicate the need for other population-based studies to confirm or overturn these results at low levels of F in CDW.
Collapse
Affiliation(s)
- Jesús Ibarluzea
- Ministry of Health of the Basque Government, Sub-Directorate for Public Health and Addictions of Gipuzkoa, 20013, San Sebastián, Spain; Faculty of Psychology of the University of the Basque Country, 20018, San Sebastian, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), 28029, Madrid, Spain; Biodonostia Health Research Institute, Environmental Epidemiology and Child Development Group, 20014, San Sebastian, Spain
| | - Mara Gallastegi
- Biodonostia Health Research Institute, Environmental Epidemiology and Child Development Group, 20014, San Sebastian, Spain.
| | - Loreto Santa-Marina
- Ministry of Health of the Basque Government, Sub-Directorate for Public Health and Addictions of Gipuzkoa, 20013, San Sebastián, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), 28029, Madrid, Spain; Biodonostia Health Research Institute, Environmental Epidemiology and Child Development Group, 20014, San Sebastian, Spain
| | - Ana Jiménez Zabala
- Ministry of Health of the Basque Government, Sub-Directorate for Public Health and Addictions of Gipuzkoa, 20013, San Sebastián, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), 28029, Madrid, Spain; Biodonostia Health Research Institute, Environmental Epidemiology and Child Development Group, 20014, San Sebastian, Spain
| | - Enrique Arranz
- Faculty of Psychology of the University of the Basque Country, 20018, San Sebastian, Spain; Biodonostia Health Research Institute, Environmental Epidemiology and Child Development Group, 20014, San Sebastian, Spain
| | - Amaia Molinuevo
- Biodonostia Health Research Institute, Environmental Epidemiology and Child Development Group, 20014, San Sebastian, Spain
| | - Maria-Jose Lopez-Espinosa
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), 28029, Madrid, Spain; Nursing School, Universitat de València, 46010, Valencia, Spain; Epidemiology and Environmental Health Joint Research Unit, FISABIO-Universitat Jaume I-Universitat de València, 46020, Valencia, Spain
| | - Ferran Ballester
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), 28029, Madrid, Spain; Nursing School, Universitat de València, 46010, Valencia, Spain; Epidemiology and Environmental Health Joint Research Unit, FISABIO-Universitat Jaume I-Universitat de València, 46020, Valencia, Spain
| | - Cristina M Villanueva
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), 28029, Madrid, Spain; Barcelona Institute for Global Health (ISGlobal), 08003, Barcelona, Spain; Municipal Institute of Medical Research, IMIM-Hospital del Mar, 08003, Barcelona, Spain; Universitat Pompeu Fabra (UPF), 08002, Barcelona, Spain
| | - Isolina Riano
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), 28029, Madrid, Spain; Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), 33001, Oviedo, Asturias, Spain; Servicio de Pediatría, Endocrinología, HUCA, Roma Avenue, 33001, Oviedo, Asturias, Spain
| | - Jordi Sunyer
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), 28029, Madrid, Spain; Epidemiology and Environmental Health Joint Research Unit, FISABIO-Universitat Jaume I-Universitat de València, 46020, Valencia, Spain; Barcelona Institute for Global Health (ISGlobal), 08003, Barcelona, Spain; Municipal Institute of Medical Research, IMIM-Hospital del Mar, 08003, Barcelona, Spain
| | - Adonina Tardon
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), 28029, Madrid, Spain; Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), 33001, Oviedo, Asturias, Spain; Unit of Molecular Cancer Epidemiology, University Institute of Oncology of the Principality of Asturias (IUOPA), Department of Medicine, University of Oviedo, Julian Clavería Street, 33006, Oviedo, Asturias, Spain
| | - Aitana Lertxundi
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), 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
| |
Collapse
|
2
|
Birks LE, van Wel L, Liorni I, Pierotti L, Guxens M, Huss A, Foerster M, Capstick M, Eeftens M, El Marroun H, Estarlich M, Gallastegi M, Safont LG, Joseph W, Santa-Marina L, Thielens A, Torrent M, Vrijkotte T, Wiart J, Röösli M, Cardis E, Vermeulen R, Vrijheid M. Radiofrequency electromagnetic fields from mobile communication: Description of modeled dose in brain regions and the body in European children and adolescents. Environ Res 2021; 193:110505. [PMID: 33245886 DOI: 10.1016/j.envres.2020.110505] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [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: 09/16/2019] [Revised: 11/02/2020] [Accepted: 11/17/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND Little is known about radiofrequency electromagnetic fields (RF) from mobile technology and resulting dose in young people. We describe modeled integrated RF dose in European children and adolescents combining own mobile device use and surrounding sources. METHODS Using an integrated RF model, we estimated the daily RF dose in the brain (whole-brain, cerebellum, frontal lobe, midbrain, occipital lobe, parietal lobe, temporal lobes) and the whole-body in 8358 children (ages 8-12) and adolescents (ages 14-18) from the Netherlands, Spain, and Switzerland during 2012-2016. The integrated model estimated RF dose from near-field sources (digital enhanced communication technology (DECT) phone, mobile phone, tablet, and laptop) and far-field sources (mobile phone base stations via 3D-radiowave modeling or RF measurements). RESULTS Adolescents were more frequent mobile phone users and experienced higher modeled RF doses in the whole-brain (median 330.4 mJ/kg/day) compared to children (median 81.8 mJ/kg/day). Children spent more time using tablets or laptops compared to adolescents, resulting in higher RF doses in the whole-body (median whole-body dose of 81.8 mJ/kg/day) compared to adolescents (41.9 mJ/kg/day). Among brain regions, temporal lobes received the highest RF dose (medians of 274.9 and 1786.5 mJ/kg/day in children and adolescents, respectively) followed by the frontal lobe. In most children and adolescents, calling on 2G networks was the main contributor to RF dose in the whole-brain (medians of 31.1 and 273.7 mJ/kg/day, respectively). CONCLUSION This first large study of RF dose to the brain and body of children and adolescents shows that mobile phone calls on 2G networks are the main determinants of brain dose, especially in temporal and frontal lobes, whereas whole-body doses were mostly determined by tablet and laptop use. The modeling of RF doses provides valuable input to epidemiological research and to potential risk management regarding RF exposure in young people.
Collapse
Affiliation(s)
- Laura Ellen Birks
- ISGlobal, Barcelona, Spain; Pompeu Fabra University, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Luuk van Wel
- Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, the Netherlands
| | - Ilaria Liorni
- Foundation for Research on Information Technologies in Society (IT'IS), Zurich, Switzerland
| | - Livia Pierotti
- ISGlobal, Barcelona, Spain; Pompeu Fabra University, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Mònica Guxens
- ISGlobal, Barcelona, Spain; Pompeu Fabra University, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC, University Medical Centre, Rotterdam, the Netherlands
| | - Anke Huss
- Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, the Netherlands
| | - Milena Foerster
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Myles Capstick
- Foundation for Research on Information Technologies in Society (IT'IS), Zurich, Switzerland
| | - Marloes Eeftens
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Hanan El Marroun
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC, University Medical Centre, Rotterdam, the Netherlands; Department of Pediatrics, Erasmus MC, the Netherlands; Department of Psychology, Education and Child Studies - Erasmus University Rotterdam, the Netherlands
| | - Marisa Estarlich
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Epidemiology and Environmental Health Joint Research Unit, FISABIO-Universitat Jaume I-Universitat de València, Valencia, Spain; Faculty of Nursing and Chiropody, Universitat de València, Spain
| | - Mara Gallastegi
- BIODONOSTIA Health Research Institute, Dr. Begiristain Pasealekua, San Sebastian, Spain
| | - Llúcia González Safont
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Epidemiology and Environmental Health Joint Research Unit, FISABIO-Universitat Jaume I-Universitat de València, Valencia, Spain
| | - Wout Joseph
- Department of Information Technology, Ghent University/IMEC, Technologiepark 126, Ghent, 9052, Belgium
| | - Loreto Santa-Marina
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; BIODONOSTIA Health Research Institute, Dr. Begiristain Pasealekua, San Sebastian, Spain; Department of Health of the Basque Government, Public Health Division of Gipuzkoa, Donostia-San Sebastián, Spain
| | - Arno Thielens
- Department of Information Technology, Ghent University/IMEC, Technologiepark 126, Ghent, 9052, Belgium
| | - Maties Torrent
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Tanja Vrijkotte
- Department of Public Health, Amsterdam UMC, University of Amsterdam, Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
| | - Joe Wiart
- Télécom ParisTech, LTCI University Paris Saclay, Chair C2M, Paris, France
| | - Martin Röösli
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Elisabeth Cardis
- ISGlobal, Barcelona, Spain; Pompeu Fabra University, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Roel Vermeulen
- Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, the Netherlands; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, the Netherlands; School of Public Health, Imperial College London, London, UK
| | - Martine Vrijheid
- ISGlobal, Barcelona, Spain; Pompeu Fabra University, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain.
| |
Collapse
|
3
|
Villate A, San Nicolas M, Gallastegi M, Aulas PA, Olivares M, Usobiaga A, Etxebarria N, Aizpurua-Olaizola O. Review: Metabolomics as a prediction tool for plants performance under environmental stress. Plant Sci 2021; 303:110789. [PMID: 33487364 DOI: 10.1016/j.plantsci.2020.110789] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [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: 08/03/2020] [Revised: 10/30/2020] [Accepted: 12/05/2020] [Indexed: 05/05/2023]
Abstract
Metabolomics as a diagnosis tool for plant performance has shown good features for breeding and crop improvement. Additionally, due to limitations in land area and the increasing climate changes, breeding projects focusing on abiotic stress tolerance are becoming essential. Nowadays no universal method is available to identify predictive metabolic markers. As a result, research aims must dictate the best method or combination of methods. To this end, we will introduce the key aspects to consider regarding growth scenarios and sampling strategies and discuss major analytical and data treatment approaches that are available to find metabolic markers of plant performance.
Collapse
Affiliation(s)
- Aitor Villate
- Department of Analytical Chemistry, Faculty of Science and Technology, University of the Basque Country (UPV/EHU), Leioa, Basque Country, Spain
| | - Markel San Nicolas
- Dinafem Seeds (Pot Sistemak S.L.), 20018, San Sebastian, Basque Country, Spain; Department of Analytical Chemistry, Faculty of Science and Technology, University of the Basque Country (UPV/EHU), Leioa, Basque Country, Spain; Sovereign Fields S.L., 20006, San Sebastian, Basque Country, Spain
| | - Mara Gallastegi
- Dinafem Seeds (Pot Sistemak S.L.), 20018, San Sebastian, Basque Country, Spain; Sovereign Fields S.L., 20006, San Sebastian, Basque Country, Spain
| | - Pierre-Antoine Aulas
- Dinafem Seeds (Pot Sistemak S.L.), 20018, San Sebastian, Basque Country, Spain; Sovereign Fields S.L., 20006, San Sebastian, Basque Country, Spain
| | - Maitane Olivares
- Department of Analytical Chemistry, Faculty of Science and Technology, University of the Basque Country (UPV/EHU), Leioa, Basque Country, Spain; Research Centre for Experimental Marine Biology and Biotechnology (PIE), University of the Basque Country (UPV/EHU), Plentzia, Basque Country, Spain
| | - Aresatz Usobiaga
- Department of Analytical Chemistry, Faculty of Science and Technology, University of the Basque Country (UPV/EHU), Leioa, Basque Country, Spain; Research Centre for Experimental Marine Biology and Biotechnology (PIE), University of the Basque Country (UPV/EHU), Plentzia, Basque Country, Spain
| | - Nestor Etxebarria
- Department of Analytical Chemistry, Faculty of Science and Technology, University of the Basque Country (UPV/EHU), Leioa, Basque Country, Spain; Research Centre for Experimental Marine Biology and Biotechnology (PIE), University of the Basque Country (UPV/EHU), Plentzia, Basque Country, Spain
| | - Oier Aizpurua-Olaizola
- Dinafem Seeds (Pot Sistemak S.L.), 20018, San Sebastian, Basque Country, Spain; Sovereign Fields S.L., 20006, San Sebastian, Basque Country, Spain.
| |
Collapse
|
4
|
Subiza-Pérez M, Marina LS, Irizar A, Gallastegi M, Anabitarte A, Urbieta N, Babarro I, Molinuevo A, Vozmediano L, Ibarluzea J. Explaining social acceptance of a municipal waste incineration plant through sociodemographic and psycho-environmental variables. Environ Pollut 2020; 263:114504. [PMID: 32283464 DOI: 10.1016/j.envpol.2020.114504] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [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: 12/11/2019] [Revised: 03/06/2020] [Accepted: 03/29/2020] [Indexed: 06/11/2023]
Abstract
Municipal waste incineration plants (MWIPs) are a source of emission of diverse pollutants that have been associated with environmental and health effects, mainly in relation to premises that are old and not well equipped or maintained. As a result, the public usually holds a negative view of such plants and tends to react adversely to construction of new plants. Understanding a population's perceptions is key to ensuring the correct development of such infrastructure and adequately managing population health concerns and behaviours. In this study, we surveyed 173 residents living close (≤ 10 km) to an MWIP being built in San Sebastian (Gipuzkoa, Spain) and 164 living further away (>10 km). The questionnaire included sociodemographic and psycho-environmental measures. Answers to the questionnaire revealed a fairly low acceptance rate and the perception of a high risk for human health and the environment (average scores of 0.57, 3.07 and 2.89 respectively in a 0 to 4 scale), with no statistically significant differences between people living nearby and further afield. A hierarchical regression model built to explore the public's acceptance of the MWIP explained 59% of the variance. Dominance and relative weight analyses revealed that the most important predictors of acceptance were trust in the information provided by the local government and perceived risk for human health, which accounted for 33.7% and 27.4% of the variance explained by the model respectively. Preference for landfilling and MWIP acceptance in a farther location made a less relevant contribution.
Collapse
Affiliation(s)
- Mikel Subiza-Pérez
- Biodonostia Health Research Institute, Group of Environmental Epidemiology and Child Development, Paseo Doctor Begiristain s/n, 20014, San Sebastian, Spain.
| | - Loreto Santa Marina
- Biodonostia Health Research Institute, Group of Environmental Epidemiology and Child Development, Paseo Doctor Begiristain s/n, 20014, San Sebastian, Spain; Department of Health of the Basque Government, Subdirectorate of Public Health of Gipuzkoa, Avenida Navarra 4, 20013, San Sebastian, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, C/Monforte de Lemos 3-5, 28029, Madrid, Spain.
| | - Amaia Irizar
- Biodonostia Health Research Institute, Group of Environmental Epidemiology and Child Development, Paseo Doctor Begiristain s/n, 20014, San Sebastian, Spain.
| | - Mara Gallastegi
- Biodonostia Health Research Institute, Group of Environmental Epidemiology and Child Development, Paseo Doctor Begiristain s/n, 20014, San Sebastian, Spain.
| | - Asier Anabitarte
- Biodonostia Health Research Institute, Group of Environmental Epidemiology and Child Development, Paseo Doctor Begiristain s/n, 20014, San Sebastian, Spain.
| | - Nerea Urbieta
- Biodonostia Health Research Institute, Group of Environmental Epidemiology and Child Development, Paseo Doctor Begiristain s/n, 20014, San Sebastian, Spain.
| | - Izaro Babarro
- Biodonostia Health Research Institute, Group of Environmental Epidemiology and Child Development, Paseo Doctor Begiristain s/n, 20014, San Sebastian, Spain.
| | - Amaia Molinuevo
- Biodonostia Health Research Institute, Group of Environmental Epidemiology and Child Development, Paseo Doctor Begiristain s/n, 20014, San Sebastian, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, C/Monforte de Lemos 3-5, 28029, Madrid, Spain.
| | - Laura Vozmediano
- University of the Basque Country (UPV/EHU), Avenida Tolosa 70, 20018, San Sebastian, Spain.
| | - Jesús Ibarluzea
- Biodonostia Health Research Institute, Group of Environmental Epidemiology and Child Development, Paseo Doctor Begiristain s/n, 20014, San Sebastian, Spain; Department of Health of the Basque Government, Subdirectorate of Public Health of Gipuzkoa, Avenida Navarra 4, 20013, San Sebastian, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, C/Monforte de Lemos 3-5, 28029, Madrid, Spain; University of the Basque Country (UPV/EHU), Avenida Tolosa 70, 20018, San Sebastian, Spain.
| |
Collapse
|
5
|
Subiza-Pérez M, Santa Marina L, Irizar A, Gallastegi M, Anabitarte A, Urbieta N, Babarro I, Molinuevo A, Vozmediano L, Ibarluzea J. Who feels a greater environmental risk? Women, younger adults and pro-environmentally friendly people express higher concerns about a set of environmental exposures. Environ Res 2020; 181:108918. [PMID: 31759645 DOI: 10.1016/j.envres.2019.108918] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [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: 08/02/2019] [Revised: 10/14/2019] [Accepted: 11/10/2019] [Indexed: 06/10/2023]
Abstract
Health-related risk perceptions concerning environmental exposures reflect the public's awareness of certain environmental issues that may compromise their health. These perceptions may trigger coping strategies and self-protective behaviors, which are key for protecting people's health. With this study, we sought 1) to assess the general public's perceptions of risk from a set of environmental exposures compared with the assessment of experts; and 2) to build predictive models of the general public's risk perceptions using a comprehensive set of sociodemographic and psycho-environmental variables. We recruited a sample of 338 inhabitants (208 women, 45.8 years on average) of Gipuzkoa (Basque Country). Participants completed a paper-and-pencil questionnaire comprising questions on general sociodemographic characteristics and on health-related behaviors, and several psycho-environmental scales assessing general environmental knowledge, nature relatedness, pro-environmental behavior, environmental concerns and place attachment. Additionally, we contacted 33 regional experts who also evaluated the risk associated with the given set of exposures. Risk scores assigned by participants ranged from 1.51 to 3.42 (out of 4) and were higher than those assigned by the experts. Nonetheless, the pattern of risk prioritization was similar in the two groups. Explanatory models accounted for small to moderate shares of the variance in environmental exposure risk (R2 = 0.05 to 0.17). The best predictors of risk perceptions were gender, age, environmental knowledge and egoistic environmental concerns. Biospheric concerns, nature relatedness and educational level hardly made any contribution. Assessment of past experiences with each environmental exposure, affective reactions towards them and psychological traits could enrich future explanatory models.
Collapse
Affiliation(s)
- Mikel Subiza-Pérez
- Biodonostia Health Research Institute, Paseo Doctor Begiristain s/n, 20013, San Sebastian, Spain.
| | - Loreto Santa Marina
- Biodonostia Health Research Institute, Paseo Doctor Begiristain s/n, 20013, San Sebastian, Spain; Department of Health of the Basque Government, Subdirectorate of Public Health of Gipuzkoa, Avenida Navarra 4, 20013, San Sebastian, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, C/Monforte de Lemos 3-5, 28029, Madrid, Spain.
| | - Amaia Irizar
- Biodonostia Health Research Institute, Paseo Doctor Begiristain s/n, 20013, San Sebastian, Spain.
| | - Mara Gallastegi
- Biodonostia Health Research Institute, Paseo Doctor Begiristain s/n, 20013, San Sebastian, Spain.
| | - Asier Anabitarte
- Biodonostia Health Research Institute, Paseo Doctor Begiristain s/n, 20013, San Sebastian, Spain.
| | - Nerea Urbieta
- Biodonostia Health Research Institute, Paseo Doctor Begiristain s/n, 20013, San Sebastian, Spain.
| | - Izaro Babarro
- Biodonostia Health Research Institute, Paseo Doctor Begiristain s/n, 20013, San Sebastian, Spain.
| | - Amaia Molinuevo
- Biodonostia Health Research Institute, Paseo Doctor Begiristain s/n, 20013, San Sebastian, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, C/Monforte de Lemos 3-5, 28029, Madrid, Spain.
| | - Laura Vozmediano
- University of the Basque Country (UPV/EHU), Avenida Tolosa 70, 20018, San Sebastian, Spain.
| | - Jesús Ibarluzea
- Biodonostia Health Research Institute, Paseo Doctor Begiristain s/n, 20013, San Sebastian, Spain; Department of Health of the Basque Government, Subdirectorate of Public Health of Gipuzkoa, Avenida Navarra 4, 20013, San Sebastian, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, C/Monforte de Lemos 3-5, 28029, Madrid, Spain; University of the Basque Country (UPV/EHU), Avenida Tolosa 70, 20018, San Sebastian, Spain.
| |
Collapse
|
6
|
Gallastegi M, Jiménez-Zabala A, Molinuevo A, Aurrekoetxea JJ, Santa-Marina L, Vozmediano L, Ibarluzea J. Exposure and health risks perception of extremely low frequency and radiofrequency electromagnetic fields and the effect of providing information. Environ Res 2019; 169:501-509. [PMID: 30530090 DOI: 10.1016/j.envres.2018.11.042] [Citation(s) in RCA: 0] [Impact Index Per Article: 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: 08/29/2018] [Revised: 10/22/2018] [Accepted: 11/26/2018] [Indexed: 05/16/2023]
Abstract
Given that regardless of actual exposure levels, high-risk perceptions of electromagnetic fields of non-ionizing radiation (EMF-NIR) may cause health effects, it is important to understand the mechanisms behind perceptions in the general population. The aims of this study were to assess perceptions of both exposure and health-risk among mothers of the INMA (Environment and childhood)-Gipuzkoa child cohort; to explore possible determinants that explain such perceptions; and to evaluate whether providing information on exposure levels has any effect on perceptions. Overall, 387 mothers completed a questionnaire composed of four questions on perceived exposure and perceived health-risk of exposure to extremely low frequency (ELF) and radiofrequency (RF) fields answered on a Likert-type scale from 0 to 10. Later, measurements of ELF and RF fields were conducted in the houses of a subsample of 104 participants. All measured levels were far below the levels established by the European Council recommendation. This was explained in the individual reports sent to the families. After reading the results, mothers completed the aforementioned questionnaire a second time, plus two additional questions regarding the role of public health bodies in risk communication. The association between perceived and measured levels as categorical variables was assessed with a chi-square test. Multiple linear regressions were conducted for each of the questions related to perceived exposure and health-risk perceptions. Wilcoxon signed-rank test was conducted to assess the effect of receiving information. Both exposure and health risk were perceived to be very high for both ELF and RF fields, with mean and medians of 7 on a 10-point scale. Reporting higher perception levels was not associated with higher levels of exposure measured at home. Variables that were repeatedly associated with higher perceptions included: manual social class, not having the feeling of living in a good neighborhood, difficulty getting by financially, not having a television antenna within 600 m, being younger and having fewer devices at home. Providing information on EMF-NIR exposure levels at home did not alter health-risk perceptions, but mean perceived RF exposure decreased significantly (by 0.7 points). Most of the participants claimed to have received no or insufficient information regarding exposure and health-risks of EMF-NIR from public bodies and considered it very important that they should.
Collapse
Affiliation(s)
- Mara Gallastegi
- BIODONOSTIA Health Research Institute, Dr. Begiristain Pasealekua, San Sebastian 20014, Spain.
| | - Ana Jiménez-Zabala
- BIODONOSTIA Health Research Institute, Dr. Begiristain Pasealekua, San Sebastian 20014, Spain; Public Health Division of Gipuzkoa, Basque Government, 4 Av. de Navarra, San Sebastian 20013, Spain
| | - Amaia Molinuevo
- BIODONOSTIA Health Research Institute, Dr. Begiristain Pasealekua, San Sebastian 20014, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, C/Monforte de Lemos 3-5, 28029 Madrid, Spain
| | - Juan J Aurrekoetxea
- BIODONOSTIA Health Research Institute, Dr. Begiristain Pasealekua, San Sebastian 20014, Spain; Public Health Division of Gipuzkoa, Basque Government, 4 Av. de Navarra, San Sebastian 20013, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, C/Monforte de Lemos 3-5, 28029 Madrid, Spain; University of the Basque Country (UPV/EHU), Preventative Medicine and Public Health Department, Faculty of Medicine, Leioa 48940, Spain
| | - Loreto Santa-Marina
- BIODONOSTIA Health Research Institute, Dr. Begiristain Pasealekua, San Sebastian 20014, Spain; Public Health Division of Gipuzkoa, Basque Government, 4 Av. de Navarra, San Sebastian 20013, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, C/Monforte de Lemos 3-5, 28029 Madrid, Spain
| | - Laura Vozmediano
- University of the Basque Country (UPV/EHU), Department of Basic Psychological Processes and their Development. Faculty of Psychology, Tolosa Hiribidea 70, San Sebastian 20018, Spain
| | - Jesús Ibarluzea
- BIODONOSTIA Health Research Institute, Dr. Begiristain Pasealekua, San Sebastian 20014, Spain; Public Health Division of Gipuzkoa, Basque Government, 4 Av. de Navarra, San Sebastian 20013, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, C/Monforte de Lemos 3-5, 28029 Madrid, Spain
| |
Collapse
|
7
|
Eeftens M, Struchen B, Birks LE, Cardis E, Estarlich M, Fernandez MF, Gajšek P, Gallastegi M, Huss A, Kheifets L, Meder IK, Olsen J, Torrent M, Trček T, Valič B, Vermeulen R, Vrijheid M, van Wel L, Guxens M, Röösli M. Personal exposure to radio-frequency electromagnetic fields in Europe: Is there a generation gap? Environ Int 2018; 121:216-226. [PMID: 30216774 DOI: 10.1016/j.envint.2018.09.002] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [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: 04/11/2018] [Revised: 07/23/2018] [Accepted: 09/03/2018] [Indexed: 06/08/2023]
Abstract
BACKGROUND Exposure to radiofrequency electromagnetic fields (RF-EMF) from mobile communication technologies is changing rapidly. To characterize sources and associated variability, we studied the differences and correlations in exposure patterns between children aged 8 to 18 and their parents, over the course of the day, by age, by activity pattern, and for different metrics of exposure. METHODS Using portable RF-EMF measurement devices, we collected simultaneous real-time personal measurements of RF-EMF over 24 to 72 h in 294 parent-child pairs from Denmark, the Netherlands, Slovenia, Switzerland, and Spain. The devices measured the power flux density (mW/m2) in 16 different frequency bands every 4 s, and activity diary Apps kept by the participants were used to collect time-activity information in real-time. We analyzed their exposures by activity, for the different source constituents of exposure: downlink (radiation emitted from mobile phone base stations), uplink (transmission from phone to base station), broadcast, DECT (digital enhanced cordless telecommunications) and Wi-Fi. We looked at the correlations between parents and children overall, during day (06:00-22.00) and night (22:00-06:00) and while spending time at home. RESULTS The mean of time-weighted average personal exposures was 0.16 mW/m2 for children and 0.15 mW/m2 for parents, on average predominantly originating from downlink sources (47% for children and 45% for parents), followed by uplink (18% and 27% respectively) and broadcast (25% and 19%). On average, exposure for downlink and uplink were highest during the day, and for Wi-Fi and DECT during the evening. Exposure during activities where most of the time is spent (home, school and work) was relatively low whereas exposure during travel and outside activities was higher. Exposure to uplink increased with age among young people, while DECT decreased slightly. Exposure to downlink, broadcast, and Wi-Fi showed no obvious trend with age. We found that exposure to total RF-EMF is correlated among children and their parents (Rspearman = 0.45), especially while at home (0.62) and during the night (0.60). Correlations were higher for environmental sources such as downlink (0.57) and broadcast (0.62) than for usage-related exposures such as uplink (0.29). CONCLUSION The generation gap between children and their parents is mostly evident in uplink exposure, due to more and longer uplink and cordless phone calls among parents, and their tendency to spend slightly more time in activities with higher environmental RF-EMF exposure, such as travel. Despite these differences in personal behavior, exposure to RF-EMF is moderately correlated between children and their parents, especially exposures resulting from environmental RF-EMF sources.
Collapse
Affiliation(s)
- Marloes Eeftens
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland.
| | - Benjamin Struchen
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Laura Ellen Birks
- ISGlobal, Barcelona Institute for Global Health, Barcelona, Spain; Pompeu Fabra University, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Institute of Health Carlos III, Madrid, Spain
| | - Elisabeth Cardis
- ISGlobal, Barcelona Institute for Global Health, Barcelona, Spain; Pompeu Fabra University, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Institute of Health Carlos III, Madrid, Spain
| | - Marisa Estarlich
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Institute of Health Carlos III, Madrid, Spain; Epidemiology and Environmental Health Joint Research Unit, FISABIO-Universitat Jaume I-Universitat de València, 46020 València, Spain
| | - Mariana F Fernandez
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Institute of Health Carlos III, Madrid, Spain; University of Granada, Center for Biomedical Research (CIBM), & Biosanitary Research Institute of Granada (ibs.GRANADA), Spain
| | - Peter Gajšek
- Institute of Non-ionizing Radiation (INIS), Ljubljana 1000, Slovenia
| | - Mara Gallastegi
- BIODONOSTIA Health Research Institute, Dr. Begiristain Pasealekua, San Sebastian, Spain; University of the Basque Country (UPV/EHU), Preventative Medicine and Public Health Department, Faculty of Medicine, Leioa, Spain
| | - Anke Huss
- Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, the Netherlands
| | - Leeka Kheifets
- Department of Epidemiology, School of Public Health, University of California, Los Angeles, USA
| | | | - Jørn Olsen
- Danish Epidemiology Science Centre, Department of Public Health, Aarhus University, Aarhus, Denmark
| | | | - Tomaž Trček
- Institute of Non-ionizing Radiation (INIS), Ljubljana 1000, Slovenia
| | - Blaž Valič
- Institute of Non-ionizing Radiation (INIS), Ljubljana 1000, Slovenia
| | - Roel Vermeulen
- Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, the Netherlands; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Martine Vrijheid
- ISGlobal, Barcelona Institute for Global Health, Barcelona, Spain; Pompeu Fabra University, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Institute of Health Carlos III, Madrid, Spain
| | - Luuk van Wel
- Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, the Netherlands
| | - Mònica Guxens
- ISGlobal, Barcelona Institute for Global Health, Barcelona, Spain; Pompeu Fabra University, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Institute of Health Carlos III, Madrid, Spain; Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Centre-Sophia Children's Hospital, Rotterdam, the Netherlands
| | - Martin Röösli
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| |
Collapse
|
8
|
Sudan M, Birks LE, Aurrekoetxea JJ, Ferrero A, Gallastegi M, Guxens M, Ha M, Lim H, Olsen J, González-Safont L, Vrijheid M, Kheifets L. Maternal cell phone use during pregnancy and child cognition at age 5 years in 3 birth cohorts. Environ Int 2018; 120:155-162. [PMID: 30096609 DOI: 10.1016/j.envint.2018.07.043] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [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: 03/22/2018] [Revised: 07/27/2018] [Accepted: 07/27/2018] [Indexed: 06/08/2023]
Abstract
BACKGROUND There have been few studies of children's cognitive development in relation to mothers' cell phone use, and most were limited to outcomes at age 3 years or younger. We examined the relationship between maternal cell phone use during pregnancy and cognitive performance in 5-year old children. METHODS This study included data from 3 birth cohorts: the Danish National Birth Cohort (DNBC) (n = 1209), Spanish Environment and Childhood Project (INMA) (n = 1383), and Korean Mothers and Children's Environment Health Study (MOCEH) (n = 497). All cohorts collected information about maternal cell phone use during pregnancy and cognitive performance in children at age 5. We performed linear regression to compute mean differences (MD) and 95% confidence intervals (CI) in children's general, verbal, and non-verbal cognition scores comparing frequency of maternal prenatal cell phone use with adjustments for numerous potential confounding factors. Models were computed separately for each cohort and using pooled data in meta-analysis. RESULTS No associations were detected between frequency of prenatal cell phone use and children's cognition scores. Scores tended to be lower in the highest frequency of use category; MD (95% CI) in general cognition scores were 0.78 (-0.76, 2.33) for none, 0.11 (-0.81, 1.03) for medium, and -0.41 (-1.54, 0.73) for high compared to low frequency of use. This pattern was seen across all cognitive dimensions, but the results were imprecise overall. CONCLUSION We observed patterns of lower mean cognition scores among children in relation to high frequency maternal prenatal cell phone use. The causal nature and mechanism of this relationship remain unknown.
Collapse
Affiliation(s)
- Madhuri Sudan
- Department of Epidemiology, School of Public Health, University of California, 650 Charles E Young Dr S, Los Angeles, CA 90095, USA; Danish Epidemiology Science Centre, Department of Public Health, Aarhus University, 8000 Aarhus, Denmark; College of Osteopathic Medicine of the Pacific, Western University of Health Sciences, 309 E. Second St, Pomona, CA 91766, USA.
| | - Laura Ellen Birks
- ISGlobal Barcelona Institute for Global Health, Doctor Aiguader 88, 08003 Barcelona, Spain; Pompeu Fabra University, Carrer Ramon Trias Fargas, 25-27, 08005 Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5, Madrid, Spain
| | - Juan J Aurrekoetxea
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5, Madrid, Spain; BIODONOSTIA Health Research Institute, Dr. Begiristain Pasealekua, San Sebastian 20014, Spain; University of the Basque Country (UPV/EHU), Preventative Medicine and Public Health Department, Faculty of Medicine, Leioa 48940, Spain; Public Health Division of Gipuzkoa, Basque Government, 4 Av. de Navarra, San Sebastian 20013, Spain
| | - Amparo Ferrero
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5, Madrid, Spain; Epidemiology and Environmental Health Joint Research Unit, FISABIO-Universitat Jaume I, Universitat de València, Avinguda Catalunya, 21, 46020 València, Spain
| | - Mara Gallastegi
- BIODONOSTIA Health Research Institute, Dr. Begiristain Pasealekua, San Sebastian 20014, Spain
| | - Mònica Guxens
- ISGlobal Barcelona Institute for Global Health, Doctor Aiguader 88, 08003 Barcelona, Spain; Pompeu Fabra University, Carrer Ramon Trias Fargas, 25-27, 08005 Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5, Madrid, Spain; Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Centre-Sophia Children's Hospital, Wytemaweg 80, 3015, CN, Rotterdam, the Netherlands
| | - Mina Ha
- Department of Preventive Medicine, Dankook University, College of Medicine, 119 Dandae-ro, Dongnam-gu, Cheonan, Republic of Korea
| | - Hyungryul Lim
- Department of Preventive Medicine, Dankook University, College of Medicine, 119 Dandae-ro, Dongnam-gu, Cheonan, Republic of Korea
| | - Jorn Olsen
- Danish Epidemiology Science Centre, Department of Public Health, Aarhus University, 8000 Aarhus, Denmark
| | - Llúcia González-Safont
- Epidemiology and Environmental Health Joint Research Unit, FISABIO-Universitat Jaume I, Universitat de València, Avinguda Catalunya, 21, 46020 València, Spain; Predepartamental unit of Medicine, Universitat Jaume I, Avinguda Sos Baynat s/n, 12071 Castelló de la Plana, Spain
| | - Martine Vrijheid
- ISGlobal Barcelona Institute for Global Health, Doctor Aiguader 88, 08003 Barcelona, Spain; Pompeu Fabra University, Carrer Ramon Trias Fargas, 25-27, 08005 Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5, Madrid, Spain
| | - Leeka Kheifets
- Department of Epidemiology, School of Public Health, University of California, 650 Charles E Young Dr S, Los Angeles, CA 90095, USA
| |
Collapse
|
9
|
Gallastegi M, Huss A, Santa-Marina L, Aurrekoetxea JJ, Guxens M, Birks LE, Ibarluzea J, Guerra D, Röösli M, Jiménez-Zabala A. Children's exposure assessment of radiofrequency fields: Comparison between spot and personal measurements. Environ Int 2018; 118:60-69. [PMID: 29803802 DOI: 10.1016/j.envint.2018.05.028] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [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: 11/09/2017] [Revised: 05/06/2018] [Accepted: 05/13/2018] [Indexed: 06/08/2023]
Abstract
INTRODUCTION Radiofrequency (RF) fields are widely used and, while it is still unknown whether children are more vulnerable to this type of exposure, it is essential to explore their level of exposure in order to conduct adequate epidemiological studies. Personal measurements provide individualized information, but they are costly in terms of time and resources, especially in large epidemiological studies. Other approaches, such as estimation of time-weighted averages (TWAs) based on spot measurements could simplify the work. OBJECTIVES The aims of this study were to assess RF exposure in the Spanish INMA birth cohort by spot measurements and by personal measurements in the settings where children tend to spend most of their time, i.e., homes, schools and parks; to identify the settings and sources that contribute most to that exposure; and to explore if exposure assessment based on spot measurements is a valid proxy for personal exposure. METHODS When children were 8 years old, spot measurements were conducted in the principal settings of 104 participants: homes (104), schools and their playgrounds (26) and parks (79). At the same time, personal measurements were taken for a subsample of 50 children during 3 days. Exposure assessment based on personal and on spot measurements were compared both in terms of mean exposures and in exposure-dependent categories by means of Bland-Altman plots, Cohen's kappa and McNemar test. RESULTS Median exposure levels ranged from 29.73 (in children's bedrooms) to 200.10 μW/m2 (in school playgrounds) for spot measurements and were higher outdoors than indoors. Median personal exposure was 52.13 μW/m2 and median levels of assessments based on spot measurements ranged from 25.46 to 123.21 μW/m2. Based on spot measurements, the sources that contributed most to the exposure were FM radio, mobile phone downlink and Digital Video Broadcasting-Terrestrial, while indoor and personal sources contributed very little (altogether <20%). Similar distribution was observed with personal measurements. There was a bias proportional to power density between personal measurements and estimates based on spot measurements, with the latter providing higher exposure estimates. Nevertheless, there were no systematic differences between those methodologies when classifying subjects into exposure categories. Personal measurements of total RF exposure showed low to moderate agreement with home and bedroom spot measurements and agreed better, though moderately, with TWA based on spot measurements in the main settings where children spend time (homes, schools and parks; Kappa = 0.46). CONCLUSIONS Exposure assessment based on spot measurements could be a feasible proxy to rank personal RF exposure in children population, providing that all relevant locations are being measured.
Collapse
Affiliation(s)
- Mara Gallastegi
- BIODONOSTIA Health Research Institute, Dr. Begiristain Pasealekua, San Sebastian 20014, Spain; University of the Basque Country (UPV/EHU), Preventative Medicine and Public Health Department, Faculty of Medicine, Leioa 48940, Spain.
| | - Anke Huss
- Institute for Risk Assessment Sciences (IRAS), Division Environmental Epidemiology, Utrecht University, Yalelaan 2, 3584, CM, Utrecht, The Netherlands
| | - Loreto Santa-Marina
- BIODONOSTIA Health Research Institute, Dr. Begiristain Pasealekua, San Sebastian 20014, Spain; Public Health Division of Gipuzkoa, Basque Government, 4 Av. de Navarra, San Sebastian 20013, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, C/Monforte de Lemos 3-5, 28029 Madrid, Spain
| | - Juan J Aurrekoetxea
- BIODONOSTIA Health Research Institute, Dr. Begiristain Pasealekua, San Sebastian 20014, Spain; University of the Basque Country (UPV/EHU), Preventative Medicine and Public Health Department, Faculty of Medicine, Leioa 48940, Spain; Public Health Division of Gipuzkoa, Basque Government, 4 Av. de Navarra, San Sebastian 20013, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, C/Monforte de Lemos 3-5, 28029 Madrid, Spain
| | - Mònica Guxens
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, C/Monforte de Lemos 3-5, 28029 Madrid, Spain; ISGlobal, C/Doctor Aiguader 88, 08003 Barcelona, Spain; Pompeu Fabra University, C/Doctor Aiguader 88, 08003 Barcelona, Spain; Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Centre-Sophia Children's Hospital, PO Box 2060, 3000, CB, Rotterdam, The Netherlands
| | - Laura Ellen Birks
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, C/Monforte de Lemos 3-5, 28029 Madrid, Spain; ISGlobal, C/Doctor Aiguader 88, 08003 Barcelona, Spain; Pompeu Fabra University, C/Doctor Aiguader 88, 08003 Barcelona, Spain
| | - Jesús Ibarluzea
- BIODONOSTIA Health Research Institute, Dr. Begiristain Pasealekua, San Sebastian 20014, Spain; Public Health Division of Gipuzkoa, Basque Government, 4 Av. de Navarra, San Sebastian 20013, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, C/Monforte de Lemos 3-5, 28029 Madrid, Spain; University of the Basque Country UPV-EHU, Faculty of Psychology, Tolosa hiribidea 70, 20018 San Sebastian, Spain
| | - David Guerra
- University of the Basque Country (UPV/EHU), Communications Engineering Department, Faculty of Engineering, Alameda Urquijo, Bilbao 48013, Spain
| | - Martin Röösli
- Swiss Tropical and Public Health Institute, Socinstrasse 57, Basel 4002, Switzerland; University of Basel, Basel, Switzerland
| | - Ana Jiménez-Zabala
- BIODONOSTIA Health Research Institute, Dr. Begiristain Pasealekua, San Sebastian 20014, Spain; Public Health Division of Gipuzkoa, Basque Government, 4 Av. de Navarra, San Sebastian 20013, Spain
| |
Collapse
|
10
|
Birks LE, Struchen B, Eeftens M, van Wel L, Huss A, Gajšek P, Kheifets L, Gallastegi M, Dalmau-Bueno A, Estarlich M, Fernandez MF, Meder IK, Ferrero A, Jiménez-Zabala A, Torrent M, Vrijkotte TGM, Cardis E, Olsen J, Valič B, Vermeulen R, Vrijheid M, Röösli M, Guxens M. Spatial and temporal variability of personal environmental exposure to radio frequency electromagnetic fields in children in Europe. Environ Int 2018; 117:204-214. [PMID: 29754001 DOI: 10.1016/j.envint.2018.04.026] [Citation(s) in RCA: 39] [Impact Index Per Article: 6.5] [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: 12/23/2017] [Revised: 03/26/2018] [Accepted: 04/16/2018] [Indexed: 06/08/2023]
Abstract
BACKGROUND Exposure to radiofrequency electromagnetic fields (RF-EMF) has rapidly increased and little is known about exposure levels in children. This study describes personal RF-EMF environmental exposure levels from handheld devices and fixed site transmitters in European children, the determinants of this, and the day-to-day and year-to-year repeatability of these exposure levels. METHODS Personal environmental RF-EMF exposure (μW/m2, power flux density) was measured in 529 children (ages 8-18 years) in Denmark, the Netherlands, Slovenia, Switzerland, and Spain using personal portable exposure meters for a period of up to three days between 2014 and 2016, and repeated in a subsample of 28 children one year later. The meters captured 16 frequency bands every 4 s and incorporated a GPS. Activity diaries and questionnaires were used to collect children's location, use of handheld devices, and presence of indoor RF-EMF sources. Six general frequency bands were defined: total, digital enhanced cordless telecommunications (DECT), television and radio antennas (broadcast), mobile phones (uplink), mobile phone base stations (downlink), and Wireless Fidelity (WiFi). We used adjusted mixed effects models with region random effects to estimate associations of handheld device use habits and indoor RF-EMF sources with personal RF-EMF exposure. Day-to-day and year-to-year repeatability of personal RF-EMF exposure were calculated through intraclass correlations (ICC). RESULTS Median total personal RF-EMF exposure was 75.5 μW/m2. Downlink was the largest contributor to total exposure (median: 27.2 μW/m2) followed by broadcast (9.9 μW/m2). Exposure from uplink (4.7 μW/m2) was lower. WiFi and DECT contributed very little to exposure levels. Exposure was higher during day (94.2 μW/m2) than night (23.0 μW/m2), and slightly higher during weekends than weekdays, although varying across regions. Median exposures were highest while children were outside (157.0 μW/m2) or traveling (171.3 μW/m2), and much lower at home (33.0 μW/m2) or in school (35.1 μW/m2). Children living in urban environments had higher exposure than children in rural environments. Older children and users of mobile phones had higher uplink exposure but not total exposure, compared to younger children and those that did not use mobile phones. Day-to-day repeatability was moderate to high for most of the general frequency bands (ICCs between 0.43 and 0.85), as well as for total, broadcast, and downlink for the year-to-year repeatability (ICCs between 0.49 and 0.80) in a small subsample. CONCLUSION The largest contributors to total personal environmental RF-EMF exposure were downlink and broadcast, and these exposures showed high repeatability. Urbanicity was the most important determinant of total exposure and mobile phone use was the most important determinant of uplink exposure. It is important to continue evaluating RF-EMF exposure in children as device use habits, exposure levels, and main contributing sources may change.
Collapse
Affiliation(s)
- Laura Ellen Birks
- ISGlobal, Barcelona, Spain; Pompeu Fabra University, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Benjamin Struchen
- Departement of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel 4051, Switzerland; University of Basel, Basel, Switzerland
| | - Marloes Eeftens
- Departement of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel 4051, Switzerland; University of Basel, Basel, Switzerland
| | - Luuk van Wel
- Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, The Netherlands
| | - Anke Huss
- Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, The Netherlands
| | - Peter Gajšek
- Institute of Non-ionizing Radiation (INIS), Ljubljana 1000, Slovenia
| | - Leeka Kheifets
- Department of Epidemiology, School of Public Health, University of California, Los Angeles, USA
| | - Mara Gallastegi
- BIODONOSTIA Health Research Institute, Dr. Begiristain Pasealekua, San Sebastian, Spain; University of the Basque Country (UPV/EHU), Preventative Medicine and Public Health Department, Faculty of Medicine, Leioa, Spain
| | - Albert Dalmau-Bueno
- ISGlobal, Barcelona, Spain; Pompeu Fabra University, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Marisa Estarlich
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Epidemiology and Environmental Health Joint Research Unit, FISABIO-Universitat Jaume I-Universitat de València, 46020 València, Spain
| | - Mariana F Fernandez
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; University of Granada, Department of Radiology and Physical Medicine, Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain
| | | | - Amparo Ferrero
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Epidemiology and Environmental Health Joint Research Unit, FISABIO-Universitat Jaume I-Universitat de València, 46020 València, Spain
| | - Ana Jiménez-Zabala
- BIODONOSTIA Health Research Institute, Dr. Begiristain Pasealekua, San Sebastian, Spain; Public Health Division of Gipuzkoa, Basque Government, San Sebastian, Spain
| | - Maties Torrent
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; ib-salut, Area de Salut de Menorca, Menorca, Spain
| | - Tanja G M Vrijkotte
- Department of Public Health - Amsterdam Public Health Research Institute, Academic Medical Centre, University of Amsterdam, Amsterdam, The Netherlands
| | - Elisabeth Cardis
- ISGlobal, Barcelona, Spain; Pompeu Fabra University, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Jørn Olsen
- Danish Epidemiology Science Centre, Department of Public Health, Aarhus University, Aarhus, Denmark
| | - Blaž Valič
- Institute of Non-ionizing Radiation (INIS), Ljubljana 1000, Slovenia
| | - Roel Vermeulen
- Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, The Netherlands; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, The Netherlands; School of Public Health, Imperial College London, London, UK
| | - Martine Vrijheid
- ISGlobal, Barcelona, Spain; Pompeu Fabra University, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Martin Röösli
- Departement of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel 4051, Switzerland; University of Basel, Basel, Switzerland
| | - Mònica Guxens
- ISGlobal, Barcelona, Spain; Pompeu Fabra University, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Centre-Sophia Children's Hospital, Rotterdam, The Netherlands.
| |
Collapse
|
11
|
Birks LE, Struchen B, Eeftens M, Huss A, Gajšek P, Kheifets L, Gallastegi M, Wel LV, Dalmau-Bueno A, Estarlich M, Fernandez M, Meder IK, Ferrero A, Jiménez-Zabala A, Torrent M, Vrijkotte TGM, Cardis E, Olsen J, Valič B, Vermeulen R, Vrijheid M, Röösli M, Guxens M. OP VI – 5 Spatial and temporal variability of personal exposure to radio frequency electromagnetic fields in children in europe. Radiation 2018. [DOI: 10.1136/oemed-2018-iseeabstracts.31] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
|
12
|
Gallastegi M, Jiménez-Zabala A, Santa-Marina L, Aurrekoetxea JJ, Ayerdi M, Ibarluzea J, Kromhout H, González J, Huss A. Exposure to extremely low and intermediate-frequency magnetic and electric fields among children from the INMA-Gipuzkoa cohort. Environ Res 2017; 157:190-197. [PMID: 28575784 DOI: 10.1016/j.envres.2017.05.027] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [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: 02/02/2017] [Revised: 05/03/2017] [Accepted: 05/23/2017] [Indexed: 06/07/2023]
Abstract
Detailed assessment of exposure to extremely low frequency (ELF) and intermediate frequency (IF) fields is essential in order to conduct informative epidemiological studies of the health effects from exposure to these fields. There is limited information available regarding ELF electric fields and on both magnetic and electric field exposures of children in the IF range. The aim of this study was to characterize ELF and IF exposure of children in the Spanish INMA cohort. A combination of spot and fixed measurements was carried out in 104 homes, 26 schools and their playgrounds and 105 parks. Low levels of ELF magnetic fields (ELF-MF) were observed (with the highest 24-h time-weighted average (TWA) exposure being 0.15μT in one home). The interquartile range (IQR) of ELF electric fields (ELF-EF) ranged from 1 to 15V/m indoors and from 0.3 to 1.1V/m outdoors and a maximum value observed was 55.5V/m in one school playground. IQR ranges for IF magnetic and electric fields were between 0.02 and 0.23μT and 0.2 and 0.5V/m respectively and maximum values were 0.03μT and 1.51V/m in homes. Correlations between magnetic and electric fields were weak for ELF (Spearman 0.04-0.36 in different settings) and moderate for IF (between 0.28 and 0.75). Children of INMA-Gipuzkoa cohort were exposed to very low levels of ELF-MF in all settings and to similar levels of ELF-EF compared to the range of previously reported levels, although somewhat higher exposures occurred at home. Children enrolled to our study were similarly exposed to IF in all settings.
Collapse
Affiliation(s)
- Mara Gallastegi
- BIODONOSTIA Health Research Institute, Dr. Begiristain Pasealekua, San Sebastian 20014, Spain; University of the Basque Country (UPV/EHU), Preventative Medicine and Public Health Department, Faculty of Medicine, Leioa 48940, Spain.
| | - Ana Jiménez-Zabala
- BIODONOSTIA Health Research Institute, Dr. Begiristain Pasealekua, San Sebastian 20014, Spain; Public Health Division of Gipuzkoa, Basque Government, 4 Av. de Navarra, San Sebastian 20013, Spain
| | - Loreto Santa-Marina
- BIODONOSTIA Health Research Institute, Dr. Begiristain Pasealekua, San Sebastian 20014, Spain; Public Health Division of Gipuzkoa, Basque Government, 4 Av. de Navarra, San Sebastian 20013, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, C/Monforte de Lemos 3-5, 28029 Madrid, Spain
| | - Juan J Aurrekoetxea
- BIODONOSTIA Health Research Institute, Dr. Begiristain Pasealekua, San Sebastian 20014, Spain; University of the Basque Country (UPV/EHU), Preventative Medicine and Public Health Department, Faculty of Medicine, Leioa 48940, Spain; Public Health Division of Gipuzkoa, Basque Government, 4 Av. de Navarra, San Sebastian 20013, Spain
| | - Mikel Ayerdi
- Public Health Division of Gipuzkoa, Basque Government, 4 Av. de Navarra, San Sebastian 20013, Spain
| | - Jesús Ibarluzea
- BIODONOSTIA Health Research Institute, Dr. Begiristain Pasealekua, San Sebastian 20014, Spain; Public Health Division of Gipuzkoa, Basque Government, 4 Av. de Navarra, San Sebastian 20013, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, C/Monforte de Lemos 3-5, 28029 Madrid, Spain
| | - Hans Kromhout
- Institute for Risk Assessment Sciences (IRAS), Division Environmental Epidemiology, Utrecht University, Yalelaan 2, 3584 CM, Utrecht, The Netherlands
| | - Julián González
- University of the Basque Country (UPV/EHU), Materials Physics Department, Faculty of Chemistry, Paseo Manuel de Lardizabal 3, San Sebastian 20018, Spain
| | - Anke Huss
- Institute for Risk Assessment Sciences (IRAS), Division Environmental Epidemiology, Utrecht University, Yalelaan 2, 3584 CM, Utrecht, The Netherlands
| |
Collapse
|
13
|
Birks L, Guxens M, Papadopoulou E, Alexander J, Ballester F, Estarlich M, Gallastegi M, Ha M, Haugen M, Huss A, Kheifets L, Lim H, Olsen J, Santa-Marina L, Sudan M, Vermeulen R, Vrijkotte T, Cardis E, Vrijheid M. Maternal cell phone use during pregnancy and child behavioral problems in five birth cohorts. Environ Int 2017; 104:122-131. [PMID: 28392066 PMCID: PMC5506372 DOI: 10.1016/j.envint.2017.03.024] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [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: 11/04/2016] [Revised: 03/13/2017] [Accepted: 03/13/2017] [Indexed: 05/31/2023]
Abstract
INTRODUCTION Previous studies have reported associations between prenatal cell phone use and child behavioral problems, but findings have been inconsistent and based on retrospective assessment of cell phone use. This study aimed to assess this association in a multi-national analysis, using data from three cohorts with prospective data on prenatal cell phone use, together with previously published data from two cohorts with retrospectively collected cell phone use data. METHODS We used individual participant data from 83,884 mother-child pairs in the five cohorts from Denmark (1996-2002), Korea (2006-2011), the Netherlands (2003-2004), Norway (2004-2008), and Spain (2003-2008). We categorized cell phone use into none, low, medium, and high, based on frequency of calls during pregnancy reported by the mothers. Child behavioral problems (reported by mothers using the Strengths and Difficulties Questionnaire or Child Behavior Checklist) were classified in the borderline/clinical and clinical ranges using validated cut-offs in children aged 5-7years. Cohort specific risk estimates were meta-analyzed. RESULTS Overall, 38.8% of mothers, mostly from the Danish cohort, reported no cell phone use during pregnancy and these mothers were less likely to have a child with overall behavioral, hyperactivity/inattention or emotional problems. Evidence for a trend of increasing risk of child behavioral problems through the maternal cell phone use categories was observed for hyperactivity/inattention problems (OR for problems in the clinical range: 1.11, 95%CI 1.01, 1.22; 1.28, 95%CI 1.12, 1.48, among children of medium and high users, respectively). This association was fairly consistent across cohorts and between cohorts with retrospectively and prospectively collected cell phone use data. CONCLUSIONS Maternal cell phone use during pregnancy may be associated with an increased risk for behavioral problems, particularly hyperactivity/inattention problems, in the offspring. The interpretation of these results is unclear as uncontrolled confounding may influence both maternal cell phone use and child behavioral problems.
Collapse
Affiliation(s)
- Laura Birks
- ISGlobal Center for Research in Environmental Epidemiology, Doctor Aiguader 88, 08003 Barcelona, Spain; Pompeu Fabra University, Carrer Ramon Trias Fargas, 25-27, 08005 Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5, Madrid, Spain.
| | - Mònica Guxens
- ISGlobal Center for Research in Environmental Epidemiology, Doctor Aiguader 88, 08003 Barcelona, Spain; Pompeu Fabra University, Carrer Ramon Trias Fargas, 25-27, 08005 Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5, Madrid, Spain; Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Centre-Sophia Children's Hospital, Wytemaweg 80, 3015 CN Rotterdam, The Netherlands
| | - Eleni Papadopoulou
- Domain of Infection Control and Environmental Health, Norwegian Institute of Public Health, Lovisenberggata 8, 0456 Oslo, Norway
| | - Jan Alexander
- Domain of Infection Control and Environmental Health, Norwegian Institute of Public Health, Lovisenberggata 8, 0456 Oslo, Norway
| | - Ferran Ballester
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5, Madrid, Spain; Epidemiology and Environmental Health Joint Research Unit, FISABIO-Universitat Jaume I-Universitat de València, Av. De Blasco Ibáñez, 13, 46010, Valencia, Spain
| | - Marisa Estarlich
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5, Madrid, Spain; Epidemiology and Environmental Health Joint Research Unit, FISABIO-Universitat Jaume I-Universitat de València, Av. De Blasco Ibáñez, 13, 46010, Valencia, Spain
| | - Mara Gallastegi
- BIODONOSTIA Health Research Institute, Begiristain Doctorea Pasealekua, 20014 San Sebastian, Spain; University of the Basque Country (UPV/EHU), Faculty of Medicine, Barrio Sarriena, s/n, 48940 Leioa, Spain
| | - Mina Ha
- Department of Preventive Medicine, Dankook University, College of Medicine, 152 Jukjeon-ro, Jukjeon 1, Cheonan, Republic of Korea
| | - Margaretha Haugen
- Department of Exposure and Risk Assessment, Norwegian Institute of Public Health, Lovisenberggata 8, 0456 Oslo, Norway
| | - Anke Huss
- Institute for Risk Assessment Sciences, Utrecht University, Domplein 29, 3512 JE Utrecht, Netherlands
| | - Leeka Kheifets
- Department of Epidemiology, School of Public Health, University of California, 650 Charles E Young Dr S, Los Angeles, CA 90095, USA; Danish Epidemiology Science Centre, Department of Public Health, Aarhus University, Aarhus, Denmark
| | - Hyungryul Lim
- Department of Preventive Medicine, Dankook University, College of Medicine, 152 Jukjeon-ro, Jukjeon 1, Cheonan, Republic of Korea
| | - Jørn Olsen
- Danish Epidemiology Science Centre, Department of Public Health, Aarhus University, Nordre Ringgade 1, 8000 Aarhus, Denmark
| | - Loreto Santa-Marina
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5, Madrid, Spain; BIODONOSTIA Health Research Institute, Begiristain Doctorea Pasealekua, 20014 San Sebastian, Spain; Public Health Division of Gipuzkoa, Basque Government, De Francia Ibilbidea, 12, 20012 San Sebastian, Spain
| | - Madhuri Sudan
- Department of Epidemiology, School of Public Health, University of California, 650 Charles E Young Dr S, Los Angeles, CA 90095, USA; Danish Epidemiology Science Centre, Department of Public Health, Aarhus University, Nordre Ringgade 1, 8000 Aarhus, Denmark; Danish Epidemiology Science Centre, Department of Public Health, Aarhus University, Aarhus, Denmark
| | - Roel Vermeulen
- Institute for Risk Assessment Sciences, Utrecht University, Domplein 29, 3512 JE Utrecht, Netherlands; Julius Center for Health Sciences and Primary Care, University Medical Center, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
| | - Tanja Vrijkotte
- Department of Public Health, Academic Medical Center, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands
| | - Elisabeth Cardis
- ISGlobal Center for Research in Environmental Epidemiology, Doctor Aiguader 88, 08003 Barcelona, Spain; Pompeu Fabra University, Carrer Ramon Trias Fargas, 25-27, 08005 Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5, Madrid, Spain
| | - Martine Vrijheid
- ISGlobal Center for Research in Environmental Epidemiology, Doctor Aiguader 88, 08003 Barcelona, Spain; Pompeu Fabra University, Carrer Ramon Trias Fargas, 25-27, 08005 Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5, Madrid, Spain
| |
Collapse
|
14
|
Jiménez-Zabala A, Santa-Marina L, Otazua M, Ayerdi M, Galarza A, Gallastegi M, Ulibarrena E, Molinuevo A, Anabitarte A, Ibarluzea J. [Fluoride intake through consumption of water from municipal network in the INMA-Gipuzkoa cohort]. Gac Sanit 2017; 32:418-424. [PMID: 28545738 DOI: 10.1016/j.gaceta.2017.02.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/15/2016] [Revised: 02/21/2017] [Accepted: 02/22/2017] [Indexed: 10/19/2022]
Abstract
OBJECTIVE To estimate fluoride intake through consumption of water from the municipal network in pregnant women and their children from the INMA-Gipuzkoa cohort and to compare these intakes with recommended levels. In Euskadi (Spain), fluoridation of drinking water is compulsory in water supplies for more than 30,000 inhabitants. METHOD 575 pregnant women (recruitment, 2006-2008) and 424 4-year-old children (follow-up, 2010-2012) have been included. Fluoride levels in drinking water were obtained from the water consumption information system of the Basque Country (EKUIS). Water consumption habits and socioeconomic variables were obtained by questionnaire. RESULTS 74.9% and 87.7% of women and children consumed water from the municipal network. Average fluoride levels in fluoridated water were 0.805 (SD: 0.194) mg/L during baseline recruitment and 0.843 (SD: 0.080) mg/L during follow up, at 4 years old of the children. Average and 95th percentile of fluoride intake were 0.015 and 0.026mg/kg per day in women and 0.033 and 0.059mg/kg per day in children. Considering only fluoride provided by drinking water, 8.71% of children living in fluoridated areas exceeded intake level recommended by the European Food Safety Authority, consisting in 0.05mg/kg per day. CONCLUSION The results show that ingested levels of fluoride through consumption of municipal water can exceed the recommended levels in children and encourages further studies that will help in fluoridation policies of drinking water in the future.
Collapse
Affiliation(s)
- Ana Jiménez-Zabala
- Subdirección de Salud Pública y Adicciones de Gipuzkoa, Departamento de Salud del Gobierno Vasco, Donostia-San Sebastián, España; Instituto de Investigación Sanitaria BIODONOSTIA, Donostia-San Sebastián, España
| | - Loreto Santa-Marina
- Subdirección de Salud Pública y Adicciones de Gipuzkoa, Departamento de Salud del Gobierno Vasco, Donostia-San Sebastián, España; Instituto de Investigación Sanitaria BIODONOSTIA, Donostia-San Sebastián, España; CIBER de Epidemiología y Salud Pública (CIBERESP), España.
| | - Mónica Otazua
- Subdirección de Salud Pública y Adicciones de Gipuzkoa, Departamento de Salud del Gobierno Vasco, Donostia-San Sebastián, España
| | - Mikel Ayerdi
- Subdirección de Salud Pública y Adicciones de Gipuzkoa, Departamento de Salud del Gobierno Vasco, Donostia-San Sebastián, España
| | - Ane Galarza
- Facultad de Farmacia, Departamento de Ingenieria Química, Universidad del País Vasco (UPV/EHU), España
| | - Mara Gallastegi
- Instituto de Investigación Sanitaria BIODONOSTIA, Donostia-San Sebastián, España; Facultad de Medicina, Departamento de Medicina Preventiva y Salud Pública, Universidad del País Vasco (UPV/EHU), España
| | - Enrique Ulibarrena
- Laboratorio de Salud Pública de Gipuzkoa, Departamento de Salud del Gobierno Vasco, Donostia-San Sebastián, España
| | | | - Asier Anabitarte
- Instituto de Investigación Sanitaria BIODONOSTIA, Donostia-San Sebastián, España
| | - Jesús Ibarluzea
- Subdirección de Salud Pública y Adicciones de Gipuzkoa, Departamento de Salud del Gobierno Vasco, Donostia-San Sebastián, España; Instituto de Investigación Sanitaria BIODONOSTIA, Donostia-San Sebastián, España; CIBER de Epidemiología y Salud Pública (CIBERESP), España; Facultad de Psicología, Departamento de Procesos psicológicos básicos y su desarrollo, Universidad del País Vasco (UPV/EHU), España
| |
Collapse
|
15
|
Gallastegi M, Guxens M, Jiménez-Zabala A, Calvente I, Fernández M, Birks L, Struchen B, Vrijheid M, Estarlich M, Fernández MF, Torrent M, Ballester F, Aurrekoetxea JJ, Ibarluzea J, Guerra D, González J, Röösli M, Santa-Marina L. Characterisation of exposure to non-ionising electromagnetic fields in the Spanish INMA birth cohort: study protocol. BMC Public Health 2016; 16:167. [PMID: 26892951 PMCID: PMC4758161 DOI: 10.1186/s12889-016-2825-3] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2015] [Accepted: 02/03/2016] [Indexed: 11/10/2022] Open
Abstract
Background Analysis of the association between exposure to electromagnetic fields of non-ionising radiation (EMF-NIR) and health in children and adolescents is hindered by the limited availability of data, mainly due to the difficulties on the exposure assessment. This study protocol describes the methodologies used for characterising exposure of children to EMF-NIR in the INMA (INfancia y Medio Ambiente- Environment and Childhood) Project, a prospective cohort study. Methods/Design Indirect (proximity to emission sources, questionnaires on sources use and geospatial propagation models) and direct methods (spot and fixed longer-term measurements and personal measurements) were conducted in order to assess exposure levels of study participants aged between 7 and 18 years old. The methodology used varies depending on the frequency of the EMF-NIR and the environment (homes, schools and parks). Questionnaires assessed the use of sources contributing both to Extremely Low Frequency (ELF) and Radiofrequency (RF) exposure levels. Geospatial propagation models (NISMap) are implemented and validated for environmental outdoor sources of RFs using spot measurements. Spot and fixed longer-term ELF and RF measurements were done in the environments where children spend most of the time. Moreover, personal measurements were taken in order to assess individual exposure to RF. The exposure data are used to explore their relationships with proximity and/or use of EMF-NIR sources. Discussion Characterisation of the EMF-NIR exposure by this combination of methods is intended to overcome problems encountered in other research. The assessment of exposure of INMA cohort children and adolescents living in different regions of Spain to the full frequency range of EMF-NIR extends the characterisation of environmental exposures in this cohort. Together with other data obtained in the project, on socioeconomic and family characteristics and development of the children and adolescents, this will enable to evaluate the complex interaction between health outcomes in children and adolescents and the various environmental factors that surround them.
Collapse
Affiliation(s)
- Mara Gallastegi
- BIODONOSTIA Health Research Institute, Paseo Dr. Beguiristain, San Sebastian, 20014, Spain. .,University of the Basque Country (UPV/EHU), Faculty of Pharmacy, 7 Unibertsitateko Ibilbidea, Vitoria-Gasteiz, 01006, Spain.
| | - Mònica Guxens
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona Biomedical Research Park, C/Doctor Aiguader 88, 08003, Barcelona, Spain. .,Pompeu Fabra University, C/Doctor Aiguader 88, 08003, Barcelona, Spain. .,Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, C/Monforte de Lemos 3-5, 28029, 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.
| | - Ana Jiménez-Zabala
- BIODONOSTIA Health Research Institute, Paseo Dr. Beguiristain, San Sebastian, 20014, Spain. .,Public Health Division of Gipuzkoa, Basque Government, 4 Av. de Navarra, San Sebastian, 20013, Spain.
| | - Irene Calvente
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, C/Monforte de Lemos 3-5, 28029, Madrid, Spain. .,University of Granada, San Cecilio University Hospital, Instituto de Investigación Biosanitaria (ibs.GRANADA), Granada, 18071, Spain.
| | - Marta Fernández
- Communications Engineering Department, University of the Basque Country (UPV/EHU), Faculty of Engineering, Alameda Urquijo, Bilbao, 48013, Spain.
| | - Laura Birks
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona Biomedical Research Park, C/Doctor Aiguader 88, 08003, Barcelona, Spain. .,Pompeu Fabra University, C/Doctor Aiguader 88, 08003, Barcelona, Spain. .,Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, C/Monforte de Lemos 3-5, 28029, Madrid, Spain.
| | - Benjamin Struchen
- Swiss Tropical and Public Health Institute, Socinstrasse 57, Basel, 4002, Switzerland. .,University of Basel, Basel, Switzerland.
| | - Martine Vrijheid
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona Biomedical Research Park, C/Doctor Aiguader 88, 08003, Barcelona, Spain. .,Pompeu Fabra University, C/Doctor Aiguader 88, 08003, Barcelona, Spain. .,Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, C/Monforte de Lemos 3-5, 28029, Madrid, Spain.
| | - Marisa Estarlich
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, C/Monforte de Lemos 3-5, 28029, Madrid, Spain. .,Epidemiology and Environmental Health Joint Research Unit, FISABIO-Universitat Jaume I-Universitat de València, Avenida de Catalunya 21, Valencia, 46020, Spain.
| | - Mariana F Fernández
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, C/Monforte de Lemos 3-5, 28029, Madrid, Spain. .,University of Granada, San Cecilio University Hospital, Instituto de Investigación Biosanitaria (ibs.GRANADA), Granada, 18071, Spain.
| | - Maties Torrent
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, C/Monforte de Lemos 3-5, 28029, Madrid, Spain. .,IB-Salut Menorca Health Area, Balearic Islands, Spain.
| | - Ferrán Ballester
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, C/Monforte de Lemos 3-5, 28029, Madrid, Spain. .,Epidemiology and Environmental Health Joint Research Unit, FISABIO-Universitat Jaume I-Universitat de València, Avenida de Catalunya 21, Valencia, 46020, Spain.
| | - Juan J Aurrekoetxea
- BIODONOSTIA Health Research Institute, Paseo Dr. Beguiristain, San Sebastian, 20014, Spain. .,Public Health Division of Gipuzkoa, Basque Government, 4 Av. de Navarra, San Sebastian, 20013, Spain. .,University of the Basque Country (UPV/EHU), Faculty of Medicine, San Sebastian, Spain.
| | - Jesús Ibarluzea
- BIODONOSTIA Health Research Institute, Paseo Dr. Beguiristain, San Sebastian, 20014, Spain. .,Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, C/Monforte de Lemos 3-5, 28029, Madrid, Spain. .,Public Health Division of Gipuzkoa, Basque Government, 4 Av. de Navarra, San Sebastian, 20013, Spain.
| | - David Guerra
- Communications Engineering Department, University of the Basque Country (UPV/EHU), Faculty of Engineering, Alameda Urquijo, Bilbao, 48013, Spain.
| | - Julián González
- Materials Physics Department, University of the Basque Country (UPV/EHU), Faculty of Chemistry, Paseo Manuel de Lardizabal 3, San Sebastian, 20018, Spain.
| | - Martin Röösli
- Swiss Tropical and Public Health Institute, Socinstrasse 57, Basel, 4002, Switzerland. .,University of Basel, Basel, Switzerland.
| | - Loreto Santa-Marina
- BIODONOSTIA Health Research Institute, Paseo Dr. Beguiristain, San Sebastian, 20014, Spain. .,Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, C/Monforte de Lemos 3-5, 28029, Madrid, Spain. .,Public Health Division of Gipuzkoa, Basque Government, 4 Av. de Navarra, San Sebastian, 20013, Spain.
| |
Collapse
|