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Whitworth KW, Rector-Houze AM, Chen WJ, Ibarluzea J, Swartz M, Symanski E, Iniguez C, Lertxundi A, Valentin A, González-Safont L, Vrijheid M, Guxens M. Relation of prenatal and postnatal PM 2.5 exposure with cognitive and motor function among preschool-aged children. Int J Hyg Environ Health 2024; 256:114317. [PMID: 38171265 DOI: 10.1016/j.ijheh.2023.114317] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Revised: 12/22/2023] [Accepted: 12/22/2023] [Indexed: 01/05/2024]
Abstract
The literature informing susceptible periods of exposure on children's neurodevelopment is limited. We evaluated the impacts of pre- and postnatal fine particulate matter (PM2.5) exposure on children's cognitive and motor function among 1303 mother-child pairs in the Spanish INMA (Environment and Childhood) Study. Random forest models with temporal back extrapolation were used to estimate daily residential PM2.5 exposures that we averaged across 1-week lags during the prenatal period and 4-week lags during the postnatal period. The McCarthy Scales of Children's Abilities (MSCA) were administered around 5 years to assess general cognitive index (GCI) and several subscales (verbal, perceptual-performance, memory, fine motor, gross motor). We applied distributed lag nonlinear models within the Bayesian hierarchical framework to explore periods of susceptibility to PM2.5 on each MSCA outcome. Effect estimates were calculated per 5 μg/m3 increase in PM2.5 and aggregated across adjacent statistically significant lags using cumulative β (βcum) and 95% Credible Intervals (95%CrI). We evaluated interactions between PM2.5 with fetal growth and child sex. We did not observe associations of PM2.5 exposure with lower GCI scores. We found a period of susceptibility to PM2.5 on fine motor scores in gestational weeks 1-9 (βcum = -2.55, 95%CrI = -3.53,-1.56) and on gross motor scores in weeks 7-17 (βcum = -2.27,95%CrI = -3.43,-1.11) though the individual lags for the latter were only borderline statistically significant. Exposure in gestational week 17 was weakly associated with verbal scores (βcum = -0.17, 95%CrI = -0.26,-0.09). In the postnatal period (from age 0.5-1.2 years), we observed a window of susceptibility to PM2.5 on lower perceptual-performance (β = -2.42, 95%CrI = -3.37,-1.46). Unexpected protective associations were observed for several outcomes with exposures in the later postnatal period. We observed no evidence of differences in susceptible periods by fetal growth or child sex. Preschool-aged children's motor function may be particularly susceptible to PM2.5 exposures experienced in utero whereas the first year of life was identified as a period of susceptibility to PM2.5 for children's perceptual-performance.
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Affiliation(s)
- Kristina W Whitworth
- Department of Medicine, Section of Epidemiology and Population Sciences, Baylor College of Medicine, 1 Baylor Plaza, Houston, TX, 77030, USA; Center for Precision Environmental Health, Baylor College of Medicine, 1 Baylor Plaza, Houston, TX, 77030, USA.
| | - Alison M Rector-Houze
- Department of Medicine, Section of Epidemiology and Population Sciences, Baylor College of Medicine, 1 Baylor Plaza, Houston, TX, 77030, USA; Department of Biostatistics and Data Science, The University of Texas Health Science Center at Houston (UTHealth) School of Public Health, 1200 Pressler St., Houston, TX, 77030, USA
| | - Wei-Jen Chen
- Department of Medicine, Section of Epidemiology and Population Sciences, Baylor College of Medicine, 1 Baylor Plaza, Houston, TX, 77030, USA
| | - Jesus Ibarluzea
- Spanish Consortium for Research and Public Health (CIBERESP), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5, 28029, Madrid, Spain; Environmental Epidemiology and Child Development, Biodonostia Health Research Institute, Paseo Dr. Begiristain s/n, 20014, Donostia-San Sebastian, Spain; Ministry of Health of the Basque Government, Sub-Directorate for Public Health and Addictions of Gipuzkoa, Av. Navarra, 4, 20013, Donostia-San Sebastian, Spain; Faculty of Psychology, Universidad del País Vasco (UPV/EHU), Campus Gipuzkoa, Av. Tolosa, 70, 20018, Donostia-San Sebastian, Spain
| | - Michael Swartz
- Department of Biostatistics and Data Science, The University of Texas Health Science Center at Houston (UTHealth) School of Public Health, 1200 Pressler St., Houston, TX, 77030, USA
| | - Elaine Symanski
- Department of Medicine, Section of Epidemiology and Population Sciences, Baylor College of Medicine, 1 Baylor Plaza, Houston, TX, 77030, USA; Center for Precision Environmental Health, Baylor College of Medicine, 1 Baylor Plaza, Houston, TX, 77030, USA
| | - Carmen Iniguez
- Spanish Consortium for Research and Public Health (CIBERESP), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5, 28029, Madrid, Spain; Department of Statistics and Operational Research, Universitat de València, Calle Dr Moliner, 50, 46100, València, Spain; Epidemiology and Environmental Health Joint Research Unit, The Foundation for the Promotion of Health and Biomedical Research of Valencia Region (FISABIO), Universitat Jaume I-Universitat de València, Av. De Catalunya, 21, 46020, València, Spain
| | - Aitana Lertxundi
- Spanish Consortium for Research and Public Health (CIBERESP), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5, 28029, Madrid, Spain; Environmental Epidemiology and Child Development, Biodonostia Health Research Institute, Paseo Dr. Begiristain s/n, 20014, Donostia-San Sebastian, Spain; Department of Preventive Medicine and Public Health, Universidad del País Vasco (UPV/EHU), Barrio Sarriena, s/n, 48940, Leioa, Spain
| | - Antonia Valentin
- Barcelona Institute of Global Health (ISGlobal), C/del Dr. Aiguader, 88, 08003, Barcelona, Spain
| | - Llucia González-Safont
- Spanish Consortium for Research and Public Health (CIBERESP), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5, 28029, Madrid, Spain; Epidemiology and Environmental Health Joint Research Unit, The Foundation for the Promotion of Health and Biomedical Research of Valencia Region (FISABIO), Universitat Jaume I-Universitat de València, Av. De Catalunya, 21, 46020, València, Spain; Nursing and Chiropody Faculty of Valencia University, Av. De Blasko Ibanez, 13, 46010, Valencia, Spain
| | - Martine Vrijheid
- Spanish Consortium for Research and Public Health (CIBERESP), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5, 28029, Madrid, Spain; Barcelona Institute of Global Health (ISGlobal), C/del Dr. Aiguader, 88, 08003, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Placa de la Merce, 12, 08002, Barcelona, Spain
| | - Monica Guxens
- Spanish Consortium for Research and Public Health (CIBERESP), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5, 28029, Madrid, Spain; Barcelona Institute of Global Health (ISGlobal), C/del Dr. Aiguader, 88, 08003, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Placa de la Merce, 12, 08002, Barcelona, Spain; Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Centre (Erasmus MC), Dr. Moleaterplein 40, 30115 GD, Rotterdam, Netherlands
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Serdarevic F, Luo M, Karabegović I, Binter AC, Alemany S, Mutzel R, Guxens M, Bustamante M, Hajdarpasic A, White T, Felix JF, Cecil CAM, Tiemeier H. DNA methylation at birth and fine motor ability in childhood: an epigenome-wide association study with replication. Epigenetics 2023; 18:2207253. [PMID: 37139702 PMCID: PMC10161945 DOI: 10.1080/15592294.2023.2207253] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/05/2023] Open
Abstract
Lower fine motor performance in childhood has been associated with poorer cognitive development and neurodevelopmental conditions such as autism spectrum disorder, yet, biological underpinnings remain unclear. DNA methylation (DNAm), an essential process for healthy neurodevelopment, is a key molecular system of interest. In this study, we conducted the first epigenome-wide association study of neonatal DNAm with childhood fine motor ability and further examined the replicability of epigenetic markers in an independent cohort. The discovery study was embedded in Generation R, a large population-based prospective cohort, including a subsample of 924 ~ 1026 European-ancestry singletons with available data on DNAm in cord blood and fine motor ability at a mean (SD) age of 9.8 (0.4) years. Fine motor ability was measured using a finger-tapping test (3 subtests including left-, right-hand and bimanual), one of the most frequently used neuropsychological instruments of fine motor function. The replication study comprised 326 children with a mean (SD) age of 6.8 (0.4) years from an independent cohort, the INfancia Medio Ambiente (INMA) study. Four CpG sites at birth were prospectively associated with childhood fine motor ability after genome-wide correction. Of these, one CpG (cg07783800 in GNG4) was replicated in INMA, showing that lower levels of methylation at this site were associated with lower fine motor performance in both cohorts. GNG4 is highly expressed in the brain and has been implicated in cognitive decline. Our findings support a prospective, reproducible association between DNAm at birth and fine motor ability in childhood, pointing to GNG4 methylation at birth as a potential biomarker of fine motor ability.
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Affiliation(s)
- Fadila Serdarevic
- Department of Child and Adolescent Psychiatry, Erasmus MC, University Medical Centre, Rotterdam, the Netherlands
- Department of Social and Behavioral Science, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Sarajevo Medical School, Sarajevo School of Science and Technology, Sarajevo, Bosnia and Herzegovina
| | - Mannan Luo
- Department of Child and Adolescent Psychiatry, Erasmus MC, University Medical Centre, Rotterdam, the Netherlands
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Psychology, Education and Child Studies, Erasmus University Rotterdam, Rotterdam, the Netherlands
| | - Irma Karabegović
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Anne-Claire Binter
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Silvia Alemany
- Department of Child and Adolescent Psychiatry, Erasmus MC, University Medical Centre, Rotterdam, the Netherlands
- Psychiatric Genetics Unit, Group of Psychiatry Mental Health and Addiction, Vall d'Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain
- Biomedical Network Research Centre on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
| | - Ryan Mutzel
- Department of Child and Adolescent Psychiatry, Erasmus MC, University Medical Centre, Rotterdam, the Netherlands
| | - Monica Guxens
- Department of Child and Adolescent Psychiatry, Erasmus MC, University Medical Centre, Rotterdam, the Netherlands
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Mariona Bustamante
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Aida Hajdarpasic
- Department of Medical Biology, and Genetics, Sarajevo Medical School, Sarajevo School of Science and Technology, Sarajevo, Bosnia and Herzegovina
| | - Tonya White
- Department of Child and Adolescent Psychiatry, Erasmus MC, University Medical Centre, Rotterdam, the Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus University Medical Centre, Rotterdam, the Netherlands
| | - Janine F Felix
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Charlotte A M Cecil
- Department of Child and Adolescent Psychiatry, Erasmus MC, University Medical Centre, Rotterdam, the Netherlands
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands
| | - Henning Tiemeier
- Department of Child and Adolescent Psychiatry, Erasmus MC, University Medical Centre, Rotterdam, the Netherlands
- Department of Social and Behavioral Science, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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Chen WJ, Rector AM, Guxens M, Iniguez C, Swartz MD, Symanski E, Ibarluzea J, Ambros A, Estarlich M, Lertxundi A, Riano-Galán I, Sunyer J, Fernandez-Somoano A, Chauhan SP, Ish J, Whitworth KW. Susceptible windows of exposure to fine particulate matter and fetal growth trajectories in the Spanish INMA (INfancia y Medio Ambiente) birth cohort. Environ Res 2023; 216:114628. [PMID: 36279916 PMCID: PMC9847009 DOI: 10.1016/j.envres.2022.114628] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [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: 05/26/2022] [Revised: 10/13/2022] [Accepted: 10/18/2022] [Indexed: 06/16/2023]
Abstract
While prior studies report associations between fine particulate matter (PM2.5) exposure and fetal growth, few have explored temporally refined susceptible windows of exposure. We included 2328 women from the Spanish INMA Project from 2003 to 2008. Longitudinal growth curves were constructed for each fetus using ultrasounds from 12, 20, and 34 gestational weeks. Z-scores representing growth trajectories of biparietal diameter, femur length, abdominal circumference (AC), and estimated fetal weight (EFW) during early (0-12 weeks), mid- (12-20 weeks), and late (20-34 weeks) pregnancy were calculated. A spatio-temporal random forest model with back-extrapolation provided weekly PM2.5 exposure estimates for each woman during her pregnancy. Distributed lag non-linear models were implemented within the Bayesian hierarchical framework to identify susceptible windows of exposure for each outcome and cumulative effects [βcum, 95% credible interval (CrI)] were aggregated across adjacent weeks. For comparison, general linear models evaluated associations between PM2.5 averaged across multi-week periods (i.e., weeks 1-11, 12-19, and 20-33) and fetal growth, mutually adjusted for exposure during each period. Results are presented as %change in z-scores per 5 μg/m3 in PM2.5, adjusted for covariates. Weeks 1-6 [βcum = -0.77%, 95%CrI (-1.07%, -0.47%)] were identified as a susceptible window of exposure for reduced late pregnancy EFW while weeks 29-33 were positively associated with this outcome [βcum = 0.42%, 95%CrI (0.20%, 0.64%)]. A similar pattern was observed for AC in late pregnancy. In linear regression models, PM2.5 exposure averaged across weeks 1-11 was associated with reduced late pregnancy EFW and AC; but, positive associations between PM2.5 and EFW or AC trajectories in late pregnancy were not observed. PM2.5 exposures during specific weeks may affect fetal growth differentially across pregnancy and such associations may be missed by averaging exposure across multi-week periods, highlighting the importance of temporally refined exposure estimates when studying the associations of air pollution with fetal growth.
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Affiliation(s)
- Wei-Jen Chen
- Department of Medicine, Section of Epidemiology and Population Sciences, Baylor College of Medicine, Houston, TX, USA
| | - Alison M Rector
- Department of Medicine, Section of Epidemiology and Population Sciences, Baylor College of Medicine, Houston, TX, USA; Department of Biostatistics and Data Science, The University of Texas Health Science Center at Houston (UTHealth) School of Public Health, Houston, TX, USA
| | - Monica Guxens
- Spanish Consortium for Research and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; ISGlobal, Barcelona, Spain; Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Centre (Erasmus MC), Rotterdam, the Netherlands
| | - Carmen Iniguez
- Spanish Consortium for Research and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Department of Statistics and Operational Research, Universitat de València, València, Spain; Epidemiology and Environmental Health Joint Research Unit, The Foundation for the Promotion of Health and Biomedical Research of Valencia Region (FISABIO), Universitat Jaume I-Universitat de València, València, Spain
| | - Michael D Swartz
- Department of Biostatistics and Data Science, The University of Texas Health Science Center at Houston (UTHealth) School of Public Health, Houston, TX, USA
| | - Elaine Symanski
- Department of Medicine, Section of Epidemiology and Population Sciences, Baylor College of Medicine, Houston, TX, USA; Center for Precision Environmental Health, Baylor College of Medicine, Houston, TX, USA
| | - Jesús Ibarluzea
- Spanish Consortium for Research and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Group of Environmental Epidemiology and Child Development, Biodonostia Health Research Institute, San Sebastian, Spain; Ministry of Health of the Basque Government, Sub-Directorate for Public Health and Addictions of Gipuzkoa, 20013, San Sebastian, Spain; Faculty of Psychology, Universidad del País Vasco (UPV/EHU), San Sebastian, Spain
| | - Albert Ambros
- Spanish Consortium for Research and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; ISGlobal, Barcelona, Spain
| | - Marisa Estarlich
- Spanish Consortium for Research and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Epidemiology and Environmental Health Joint Research Unit, The Foundation for the Promotion of Health and Biomedical Research of Valencia Region (FISABIO), Universitat Jaume I-Universitat de València, València, Spain; Faculty of Nursing and Chiropody, Universitat de València, València, Spain
| | - Aitana Lertxundi
- Spanish Consortium for Research and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Group of Environmental Epidemiology and Child Development, Biodonostia Health Research Institute, San Sebastian, Spain; Department of Preventive Medicine and Public Health, University of the Basque Country (UPV/EHU), Leioa, Spain
| | - Isolina Riano-Galán
- Spanish Consortium for Research and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain; Servicio de Pediatría, Endocrinología pediátrica, Hospital Universitario Central de Asturias (HUCA), Oviedo, Spain
| | - Jordi Sunyer
- Spanish Consortium for Research and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; ISGlobal, Barcelona, Spain
| | - Ana Fernandez-Somoano
- Spanish Consortium for Research and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain; IUOPA-Área de Medicina Preventiva y Salud Pública, Departamento de Medicina, Universidad de Oviedo, Oviedo, Spain
| | - Suneet P Chauhan
- Department of Obstetrics, Gynecology and Reproductive Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA
| | - Jennifer Ish
- Epidemiology Branch, National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Durham, NC, USA
| | - Kristina W Whitworth
- Department of Medicine, Section of Epidemiology and Population Sciences, Baylor College of Medicine, Houston, TX, USA; Center for Precision Environmental Health, Baylor College of Medicine, Houston, TX, USA.
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Babarro I, Ibarluzea J, Theodorsson E, Fano E, Lebeña A, Guxens M, Sunyer J, Andiarena A. Hair cortisol as a biomarker of chronic stress in preadolescents: influence of school context and bullying. Child Neuropsychol 2022:1-18. [PMID: 36036166 DOI: 10.1080/09297049.2022.2115991] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/15/2022]
Abstract
Bullying has been identified as the most common form of aggression and a major source of stress among children and adolescents. The main objective of this study was to analyze the association that school context in general and bullying in particular might have with hair cortisol concentration (HCC), examining the effect of executive function and sex on this association. The study included 659 11-year-old preadolescents from the cohorts of Gipuzkoa and Sabadell of the INMA (INfancia y Medio Ambiente-Children and Environment) project. We gathered information about school-related factors (bullying, school environment, problems with peers and academic performance) and executive function (risky decision-making). Hair samples were collected to measure cortisol concentrations and Structural Equation Modeling was used to examine associations between school-related factors, executive function and HCC. Results showed that being involved as a bully/victim was related to higher HCC and, higher HCC was associated with poorer executive function. This study may contribute to a better understanding of the consequences that chronic exposure to a stressful factors may have on preadolescents' health and developmental outcomes. Besides, our results are relevant for designing programs for prevention and intervention, which could modify individual physiological responses to stress and reduce the effects of stress on the health.
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Affiliation(s)
- Izaro Babarro
- Faculty of Psychology, University of the Basque Country, UPV/EHU, Donostia/San Sebastian, Spain.,Biodonostia Health Research Institute, Group of Environmental Epidemiology and Child Development, Donostia/San Sebastian, Spain
| | - Jesus Ibarluzea
- Faculty of Psychology, University of the Basque Country, UPV/EHU, Donostia/San Sebastian, Spain.,Biodonostia Health Research Institute, Group of Environmental Epidemiology and Child Development, Donostia/San Sebastian, Spain.,Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Madrid, Spain.,Health Department of Basque Government, Public Health of Gipuzkoa, Donostia/San Sebastian, Spain
| | - Elvar Theodorsson
- Department of Biomedical and Clinical Science, Clinical Chemistry, Linköping, Sweden
| | - Eduardo Fano
- Faculty of Psychology, University of the Basque Country, UPV/EHU, Donostia/San Sebastian, Spain.,Biodonostia Health Research Institute, Group of Environmental Epidemiology and Child Development, Donostia/San Sebastian, Spain
| | - Andrea Lebeña
- Faculty of Psychology, University of the Basque Country, UPV/EHU, Donostia/San Sebastian, Spain.,Department of Biomedical and Clinical Science, Clinical Chemistry, Linköping, Sweden
| | - Monica Guxens
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Madrid, Spain.,Department of Experimental and Health Sciences, Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain.,Department of Experimental and Health Sciences, University of Pompeu Fabra (UPF), Barcelona, Spain.,Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC University Medical Centre, Roterdam, The Netherlands
| | - Jordi Sunyer
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Madrid, Spain.,Department of Experimental and Health Sciences, Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain.,Department of Experimental and Health Sciences, University of Pompeu Fabra (UPF), Barcelona, Spain.,Municipal Institute of Medical Research (IMIM-Hospital del Mar), Barcelona, Spain
| | - Ainara Andiarena
- Faculty of Psychology, University of the Basque Country, UPV/EHU, Donostia/San Sebastian, Spain.,Biodonostia Health Research Institute, Group of Environmental Epidemiology and Child Development, Donostia/San Sebastian, Spain
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Guerlich K, Cadman T, Charles MA, Fernandez-Barres S, Guxens M, Heude B, Inskip H, Julvez J, Lawlor D, Salika T, Koletzko B, Grote V, Plancoulaine S. 0490 Longitudinal associations between sleep and behavior and cognition in preschoolers from five European birth-cohorts. Sleep 2022. [DOI: 10.1093/sleep/zsac079.487] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Introduction
There has been little focus on sleep and its relation to behavior and cognition in preschool-aged children. We aimed to investigate the association between sleep duration in early preschoolers (» 3.5 years of age) and later behavioral and cognitive outcomes (» 5 years of age) in European children.
Methods
We used harmonized data from five cohorts from the EU Child Cohort Network, established by the LifeCycle Project (n=16.444 children): ALSPAC and SWS from UK, EDEN and ELFE from France and INMA from Spain. Within all cohorts, total sleep duration per day and behavioral and cognitive information were reported by parents. Internalizing and externalizing behaviors were measured with the Strengths and Difficulties Questionnaire and treated as percentile scores. Verbal and non-verbal intelligence were assessed by the Wechsler Preschool and Primary Scale of Intelligence or with the McCarthy Scales of Children’s Abilities depending on the cohort and treated as standardized scores. All scores were cohort specific. Associations between sleep duration during early preschool age and later behavior and/or cognition were estimated using linear regression and pooled with two-stage individual participant data meta-analysis adjusted for child, maternal and household information. Analyses were done in DataSHIELD.
Results
Global mean sleep duration was 11h54 ± 1h00 per day at mean age 3.5 years but differed by country, with children from France showing longer sleep duration than children from the UK or Spain. In multivariate meta-analysis, 1 hour of additional sleep duration per day at mean age 3.5 years was associated with reduced internalizing and externalizing behavior percentile scores at mean age 5.1 years (internalizing behavior: badjusted= -1.05, 95%-CI [-1.93, -0.18], I2: 30.3%; externalizing behavior: badjusted= -2.12, 95%-CI [-2.78, -1.47], I2: 0.0%). No association was observed between sleep duration and subsequent verbal or non-verbal intelligence
Conclusion
Longer sleep duration in early preschool age (» 3.5 years of age) was associated with subsequent lower internalizing and externalizing behavior scores (» 5 years of age), but not with verbal or non-verbal intelligence. Adequate sleep duration at an early age is important for children’s later mental health.
Support (If Any)
KG was granted a LifeCycle fellowship.
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Affiliation(s)
- Kathrin Guerlich
- LMU University Hospital Munich, Division of Metabolic and Nutritional Medicine, Department of Pediatrics, Dr. von Hauner Children’s Hospital
| | - Tim Cadman
- University of Copenhagen, Department of Public Health, Faculty of Health and Medical Sciences
| | | | | | | | | | - Hazel Inskip
- MRC Lifecourse Epidemiology Unit, University of Southampton
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Guxens M, Lubczynska MJ, Perez-Crespo L, Muetzel RL, El Marroun H, Basagana X, Hoek G, Tiemeier H. Associations of Air Pollution on the Brain in Children: A Brain Imaging Study. Res Rep Health Eff Inst 2022; 2022:1-61. [PMID: 36106707 PMCID: PMC9476146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023] Open
Abstract
Introduction Epidemiological studies are highlighting the negative effects of the exposure to air pollution on children's neurodevelopment. However, most studies assessed children's neurodevelopment using neuropsychological tests or questionnaires. Using magnetic resonance imaging (MRI) to precisely measure global and region-specific brain development would provide details of brain morphology and connectivity. This would help us understand the observed cognitive and behavioral changes related to air pollution exposure. Moreover, most studies assessed only a few air pollutants. This project investigates whether air pollution exposure to many pollutants during pregnancy and childhood is associated with the morphology and connectivity of the brain in school-age children and pre-adolescents. Methods We used data from the Generation R Study, a population-based birth cohort set up in Rotterdam, the Netherlands in 2002-2006 (n = 9,610). We used land-use regression (LUR) models to estimate the levels of 14 air pollutants at participant's homes during pregnancy and childhood: nitrogen oxides (NOx), nitrogen dioxide (NO2), particulate matter with aerodynamic diameter ≤10 μm (PM10) or ≤2.5 μm (PM2.5), PM between 10 μm and 2.5 μm (PMCOARSE), absorbance of the PM2.5 fraction - a measure of soot (PM2.5absorbance), the composition of PM2.5 such as polycyclic aromatic hydrocarbons (PAHs), organic carbon (OC), copper (Cu), iron (Fe), silicon (Si), zinc (Zn), and the oxidative potential of PM2.5 evaluated using two acellular methods: dithiothreitol (OPDTT) and electron spin resonance (OPESR). We performed MRI measurements of structural morphology (i.e., brain volumes, cortical thickness, and cortical surface area) using T1-weighted images in 6- to 10-year-old school-age children and 9- to 12-year-old pre-adolescents, structural connectivity (i.e., white matter microstructure) using diffusion tensor imaging (DTI) in pre-adolescents, and functional connectivity (i.e., connectivity score between brain areas) using resting-state functional MRI (rs-fMRI) in pre-adolescents. We assessed cognitive function using the Developmental Neuropsychological Assessment test (NEPSY-II) in school-age children. For each outcome, we ran regression analysis adjusted for several socioeconomic and lifestyle characteristics. We performed single-pollutant analyses followed by multipollutant analyses using the deletion/substitution/addition (DSA) approach. Results The project has air pollution and brain MRI data for 783 school-age children and 3,857 pre-adolescents. First, exposure to air pollution during pregnancy or childhood was not associated with global brain volumes (e.g., total brain, cortical gray matter, and cortical white matter) in school-age children or pre-adolescents. However, higher pregnancy or childhood exposure to several air pollutants was associated with a smaller corpus callosum and hippocampus, and a larger amygdala, nucleus accumbens, and cerebellum in pre-adolescents, but not in school-age children. Second, higher exposure to several air pollutants during pregnancy was associated with a thinner cortex in various regions of the brain in both school-age children and pre-adolescents. Higher exposure to air pollution during childhood was also associated with a thinner cortex in a single region in pre-adolescents. A thinner cortex in two regions mediated the association between higher exposure to air pollution during pregnancy and an impaired inhibitory control in school-age children. Third, higher exposure to air pollution during childhood was associated with smaller cortical surface areas in various regions of the brain except in a region where we observed a larger cortical surface area in pre-adolescents. In relation to brain structural connectivity, higher exposure to air pollution during pregnancy and childhood was associated with an alteration in white matter microstructure in pre-adolescents. In relation to brain functional connectivity, a higher exposure to air pollution, mainly during pregnancy and early childhood, was associated with a higher brain functional connectivity among several brain regions in pre-adolescents. Overall, we identified several air pollutants associated with brain structural morphology, structural connectivity, and functional connectivity, such as NOx, NO2, PM of various size fractions (i.e., PM10, PMCOARSE, and PM2.5), PM2.5absorbance, PAHs, OC, three elemental components of PM2.5 (i.e., Cu, Si, Zn), and the oxidative potential of PM2.5. Conclusions The results of this project suggest that exposure to air pollution during pregnancy and childhood play an adverse role in brain development. We observed this relationship even at levels of exposure that were below the European Union legislations. We acknowledge that identifying the independent effects of specific pollutants was particularly challenging. Most of our conclusions generally refer to traffic-related air pollutants. However, we did identify pollutants specifically originating from brake linings, tire wear, and tailpipe emissions from diesel combustion. The current direction toward innovative solutions for cleaner energy vehicles is a step in the right direction. However, our findings indicate that these measures might not be completely adequate to mitigate health problems attributable to traffic-related air pollution, as we also observed associations with markers of brake linings and tire wear.
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Affiliation(s)
- Monica Guxens
- Barcelona Institute for Global Health (ISGlobal), 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, Erasmus MC, University Medical Centre, Rotterdam, the Netherlands
| | - Malgorzata J Lubczynska
- Barcelona Institute for Global Health (ISGlobal), 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, Erasmus MC, University Medical Centre, Rotterdam, the Netherlands
| | - Laura Perez-Crespo
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain
- Pompeu Fabra University, Barcelona, Spain
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Institute of Health Carlos III, Madrid, Spain
| | - Ryan L Muetzel
- Department of Child and Adolescent Psychiatry, Erasmus MC, University Medical Centre, Rotterdam, the Netherlands
| | - Hanan El Marroun
- Department of Child and Adolescent Psychiatry, Erasmus MC, University Medical Centre, Rotterdam, the Netherlands
- Department of Psychology, Education and Child Studies, Erasmus School of Social and Behavioural Sciences, Erasmus University, Rotterdam, the Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Centre, Rotterdam, the Netherlands
| | - Xavier Basagana
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain
- Pompeu Fabra University, Barcelona, Spain
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Institute of Health Carlos III, Madrid, Spain
| | - Gerard Hoek
- Institute for Risk Assessment Sciences, Utrecht University, the Netherlands
| | - Henning Tiemeier
- Department of Child and Adolescent Psychiatry, Erasmus MC, University Medical Centre, Rotterdam, the Netherlands
- Department of Social and Behavioral Science, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
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7
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Tahaei H, Gignac F, Pinar A, Fernandez-Barrés S, Romaguera D, Vioque J, Santa-Marina L, Subiza-Pérez M, Llop S, Soler-Blasco R, Arija V, Salas-Salvadó J, Tardón A, Riaño-Galán I, Sunyer J, Guxens M, Julvez J. Omega-3 Fatty Acid Intake during Pregnancy and Child Neuropsychological Development: A Multi-Centre Population-Based Birth Cohort Study in Spain. Nutrients 2022; 14:nu14030518. [PMID: 35276877 PMCID: PMC8838693 DOI: 10.3390/nu14030518] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Revised: 01/17/2022] [Accepted: 01/20/2022] [Indexed: 12/05/2022] Open
Abstract
Background: There are few studies that look at the intake of all types of omega-3 polyunsaturated fatty acids (n-3 PUFAs) during the different stages of pregnancy along with a long-term neuropsychological follow-up of the child. This study aims to explore the association between maternal n-3 PUFA intake during two periods of pregnancy and the child’s neuropsychological scores at different ages. Methods: Prospective data were obtained for 2644 pregnant women recruited between 2004 and 2008 in population-based birth cohorts in Spain. Maternal n-3 PUFA intake during the first and third trimester of pregnancy was estimated using validated food frequency questionnaires. Child neuropsychological functions were assessed using Bayley Scales of Infant Development version one (BSID) at 1 year old, the McCarthy Scale of Children’s Abilities (MSCA) at 4 years old, and the Attention Network Test (ANT) at 7 years old. Data were analysed using multivariate linear regression models and adjusted for potential covariates, such as maternal social class, education, cohort location, alcohol consumption, smoking, breastfeeding duration, and energy intake. Results: Compared to participants in the lowest quartile (<1.262 g/day) of n-3 PUFA consumption during the first trimester, those in the highest quartile (>1.657 g/day) had a 2.26 points (95% confidence interval (CI): 0.41, 4.11) higher MSCA general cognitive score, a 2.48 points (95% CI: 0.53, 4.43) higher MSCA verbal score, and a 2.06 points (95% CI: 0.166, 3.95) higher MSCA executive function score, and a 11.52 milliseconds (95% CI: −22.95, −0.09) lower ANT hit reaction time standard error. In the third pregnancy trimester, the associations were weaker. Conclusions: Positive associations between n-3 PUFA intake during early pregnancy and child neuropsychological functions at 4 and 7 years of age were found, and further clinical research is needed to confirm these findings.
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Affiliation(s)
- Hana Tahaei
- ISGlobal, 08003 Barcelona, Spain; (H.T.); (F.G.); (A.P.); (S.F.-B.); (D.R.); (J.S.); (M.G.)
| | - Florence Gignac
- ISGlobal, 08003 Barcelona, Spain; (H.T.); (F.G.); (A.P.); (S.F.-B.); (D.R.); (J.S.); (M.G.)
- Department of Experimental and Health Sciences, Universitat Pompeu Fabra (UPF), 08003 Barcelona, Spain
| | - Ariadna Pinar
- ISGlobal, 08003 Barcelona, Spain; (H.T.); (F.G.); (A.P.); (S.F.-B.); (D.R.); (J.S.); (M.G.)
- Department of Experimental and Health Sciences, Universitat Pompeu Fabra (UPF), 08003 Barcelona, Spain
- Institut d’Investigació Sanitària Pere Virgili (IISPV), Hospital Universitari Sant Joan de Reus, 43204 Reus, Spain;
| | | | - Dora Romaguera
- ISGlobal, 08003 Barcelona, Spain; (H.T.); (F.G.); (A.P.); (S.F.-B.); (D.R.); (J.S.); (M.G.)
- Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
| | - Jesus Vioque
- Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH), 46020 Alicante, Spain;
- Centro de Investigacion Biomedica en Red Epidemiologia y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (L.S.-M.); (M.S.-P.); (A.T.); (I.R.-G.)
| | - Loreto Santa-Marina
- Centro de Investigacion Biomedica en Red Epidemiologia y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (L.S.-M.); (M.S.-P.); (A.T.); (I.R.-G.)
- Ministry of Health of the Basque Government, Sub-Directorate for Public Health and Addictions of Gipuzkoa, 20013 San Sebastian, Spain
- Group of Environmental Epidemiology and Child Development, Biodonostia Health Research Institute, 20014 San Sebastian, Spain
| | - Mikel Subiza-Pérez
- Centro de Investigacion Biomedica en Red Epidemiologia y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (L.S.-M.); (M.S.-P.); (A.T.); (I.R.-G.)
- Group of Environmental Epidemiology and Child Development, Biodonostia Health Research Institute, 20014 San Sebastian, Spain
| | - Sabrina Llop
- Epidemiology and Environmental Health Joint Research Unit, FISABIO—Universitat Jaume I—Universitat de València, 46020 Valencia, Spain; (S.L.); (R.S.-B.)
| | - Raquel Soler-Blasco
- Epidemiology and Environmental Health Joint Research Unit, FISABIO—Universitat Jaume I—Universitat de València, 46020 Valencia, Spain; (S.L.); (R.S.-B.)
| | - Victoria Arija
- Universitat Rovira i Virgili (URV), Nutrition and Mental Health Research Group (NUTRISAM), 43201 Reus, Spain;
| | - Jordi Salas-Salvadó
- Institut d’Investigació Sanitària Pere Virgili (IISPV), Hospital Universitari Sant Joan de Reus, 43204 Reus, Spain;
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Universitat Rovira i Virgili (URV), Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, 43201 Reus, Spain
| | - Adonina Tardón
- Centro de Investigacion Biomedica en Red Epidemiologia y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (L.S.-M.); (M.S.-P.); (A.T.); (I.R.-G.)
- Departamento de Medicina, Universidad de Oviedo, 33006 Oviedo, Spain
- IUOPA-ISPA, Avda. Hospital Universitario s/n, 33011 Oviedo, Spain
| | - Isolina Riaño-Galán
- Centro de Investigacion Biomedica en Red Epidemiologia y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (L.S.-M.); (M.S.-P.); (A.T.); (I.R.-G.)
- IUOPA-ISPA, Avda. Hospital Universitario s/n, 33011 Oviedo, Spain
- Servicio de Pediatría, Endocrinología Pediátrica, HUCA, Roma Avenue S/n, 33001 Oviedo, Spain
| | - Jordi Sunyer
- ISGlobal, 08003 Barcelona, Spain; (H.T.); (F.G.); (A.P.); (S.F.-B.); (D.R.); (J.S.); (M.G.)
- Department of Experimental and Health Sciences, Universitat Pompeu Fabra (UPF), 08003 Barcelona, Spain
- Centro de Investigacion Biomedica en Red Epidemiologia y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (L.S.-M.); (M.S.-P.); (A.T.); (I.R.-G.)
| | - Monica Guxens
- ISGlobal, 08003 Barcelona, Spain; (H.T.); (F.G.); (A.P.); (S.F.-B.); (D.R.); (J.S.); (M.G.)
- Department of Experimental and Health Sciences, Universitat Pompeu Fabra (UPF), 08003 Barcelona, Spain
- Centro de Investigacion Biomedica en Red Epidemiologia y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (L.S.-M.); (M.S.-P.); (A.T.); (I.R.-G.)
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC, University Medical Centre, 3015 CN Rotterdam, The Netherlands
| | - Jordi Julvez
- ISGlobal, 08003 Barcelona, Spain; (H.T.); (F.G.); (A.P.); (S.F.-B.); (D.R.); (J.S.); (M.G.)
- Department of Experimental and Health Sciences, Universitat Pompeu Fabra (UPF), 08003 Barcelona, Spain
- Institut d’Investigació Sanitària Pere Virgili (IISPV), Hospital Universitari Sant Joan de Reus, 43204 Reus, Spain;
- Centro de Investigacion Biomedica en Red Epidemiologia y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (L.S.-M.); (M.S.-P.); (A.T.); (I.R.-G.)
- Correspondence:
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8
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Nader JL, López-Vicente M, Julvez J, Guxens M, Cadman T, Elhakeem A, Järvelin MR, Rautio N, Miettunen J, El Marroun H, Melchior M, Heude B, Charles MA, Yang TC, McEachan RRC, Wright J, Polanska K, Carson J, Lin A, Rauschert S, Huang RC, Popovic M, Richiardi L, Corpeleijn E, Cardol M, Mikkola TM, Eriksson JG, Salika T, Inskip H, Vinther JL, Strandberg-Larsen K, Gürlich K, Grote V, Koletzko B, Vafeiadi M, Sunyer J, Jaddoe VWV, Harris JR. Cohort description: Measures of early-life behaviour and later psychopathology in the LifeCycle Project - EU Child Cohort Network. J Epidemiol 2021. [PMID: 34776498 PMCID: PMC10165218 DOI: 10.2188/jea.je20210241] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND The EU LifeCycle Project was launched in 2017 to combine, harmonise, and analyse data from more than 250,000 participants across Europe and Australia, involving cohorts participating in the EU-funded LifeCycle Project. The purpose of this cohort description is to provide a detailed overview over the major measures within mental health domains that are available in 17 European and Australian cohorts participating in the LifeCycle Project. METHODS Data on cognitive, behavioural and psychological development has been collected on participants from birth until adulthood through questionnaire and medical data. We developed an inventory of the available data by mapping individual instruments, domain types, and age groups, providing the basis for statistical harmonization across mental health measures. RESULTS The mental health data in LifeCycle contain longitudinal and cross-sectional data for ages 0-18+ years, covering domains across a wide range of behavioural and psychopathology indicators and outcomes (including executive function, depression, ADHD and cognition). These data span a unique combination of qualitative data collected through behavioural/cognitive/mental health questionnaires and examination, as well as data from biological samples and indices in the form of brain imaging (MRI, foetal ultrasound) and DNA methylation data. Harmonized variables on a subset of mental health domains have been developed, providing statistical equivalence of measures required for longitudinal meta-analyses across instruments and cohorts. CONCLUSION Mental health data harmonized through the LifeCycle project can be used to study life course trajectories and exposure-outcome models that examine early life risk factors for mental illness and develop predictive markers for later-life disease.
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Affiliation(s)
- Johanna L Nader
- Department of Genetics and Bioinformatics, Division of Health Data and Digitalisation, Norwegian Institute of Public Health
| | - Mònica López-Vicente
- ISGlobal, Instituto de Salud Global de Barcelona.,Department of Child and Adolescent Psychiatry, University Medical Center Rotterdam
| | - Jordi Julvez
- ISGlobal, Instituto de Salud Global de Barcelona.,Institut d'Investigació Sanitària Pere Virgili, Hospital Universitari Sant Joan de Reus
| | - Monica Guxens
- ISGlobal, Instituto de Salud Global de Barcelona.,Department of Child and Adolescent Psychiatry, University Medical Center Rotterdam
| | - Tim Cadman
- MRC Integrative Epidemiology Unit at University of Bristol, Population Health Sciences, Bristol Medical School
| | - Ahmed Elhakeem
- MRC Integrative Epidemiology Unit at University of Bristol, Population Health Sciences, Bristol Medical School
| | | | - Nina Rautio
- Center for Life Course Health Research, University of Oulu
| | - Jouko Miettunen
- Center for Life Course Health Research, University of Oulu.,Medical Research Center Oulu, Oulu University Hospital and University of Oulu
| | - Hanan El Marroun
- Department of Child and Adolescent Psychiatry, University Medical Center Rotterdam.,Department of Pediatrics, University Medical Center Rotterdam.,The Generation R Study Group
| | - Maria Melchior
- Sorbonne Université, INSERM, Institut Pierre Louis d'Épidémiologie et de Santé Publique, IPLESP
| | - Barbara Heude
- Université de Paris, Centre for Research in Epidemiology and Statistics (CRESS), INSERM, INRAE
| | - Marie-Aline Charles
- Université de Paris, Centre for Research in Epidemiology and Statistics (CRESS), INSERM, INRAE.,Unité mixte Inserm-Ined-EFS Elfe, INED
| | - Tiffany C Yang
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust
| | - Rosemary R C McEachan
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust
| | - John Wright
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust
| | - Kinga Polanska
- Department of Hygiene and Epidemiology, Medical University of Lodz
| | - Jennie Carson
- Telethon Kids Institute, University of Western Australia
| | - Ashleigh Lin
- Telethon Kids Institute, University of Western Australia
| | | | - Rae-Chi Huang
- Telethon Kids Institute, University of Western Australia
| | - Maja Popovic
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin and CPO Piemonte
| | - Lorenzo Richiardi
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin and CPO Piemonte
| | - Eva Corpeleijn
- Department of Epidemiology, University Medical Center Groningen
| | - Marloes Cardol
- Department of Epidemiology, University Medical Center Groningen
| | - Tuija M Mikkola
- Folkhälsan Research Center.,Clinicum, Faculty of Medicine, University of Helsinki
| | - Johan G Eriksson
- Folkhälsan Research Center.,Public Health Promotion Unit, National Institute for Health and Welfare.,Department of General Practice and Primary Health Care, University of Helsinki and Helsinki University Hospital.,Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research.,Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore
| | - Theodosia Salika
- Medical Research Council Lifecourse Epidemiology Unit, Southampton General Hospital, University of Southampton
| | - Hazel Inskip
- Medical Research Council Lifecourse Epidemiology Unit, Southampton General Hospital, University of Southampton.,NIHR Southampton Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust, University of Southampton
| | | | | | - Kathrin Gürlich
- Division of Metabolic and Nutritional Medicine, Department of Pediatrics, Dr. von Hauner Children's Hospital, University Hospital, LMU
| | - Veit Grote
- Division of Metabolic and Nutritional Medicine, Department of Pediatrics, Dr. von Hauner Children's Hospital, University Hospital, LMU
| | - Berthold Koletzko
- Division of Metabolic and Nutritional Medicine, Department of Pediatrics, Dr. von Hauner Children's Hospital, University Hospital, LMU
| | - Marina Vafeiadi
- Department of Social Medicine, Faculty of Medicine, University of Crete
| | - Jordi Sunyer
- ISGlobal, Instituto de Salud Global de Barcelona
| | - Vincent W V Jaddoe
- Department of Pediatrics, University Medical Center Rotterdam.,The Generation R Study Group
| | - Jennifer R Harris
- Division of Health Data and Digitalization, Center for Fertility and Health and Department of Genetics and Bioinformatics, The Norwegian Institute of Public Health
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9
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Julvez J, López-Vicente M, Warembourg C, Maitre L, Philippat C, Gützkow KB, Guxens M, Evandt J, Andrusaityte S, Burgaleta M, Casas M, Chatzi L, de Castro M, Donaire-González D, Gražulevičienė R, Hernandez-Ferrer C, Heude B, Mceachan R, Mon-Williams M, Nieuwenhuijsen M, Robinson O, Sakhi AK, Sebastian-Galles N, Slama R, Sunyer J, Tamayo-Uria I, Thomsen C, Urquiza J, Vafeiadi M, Wright J, Basagaña X, Vrijheid M. Early life multiple exposures and child cognitive function: A multi-centric birth cohort study in six European countries. Environ Pollut 2021; 284:117404. [PMID: 34077897 PMCID: PMC8287594 DOI: 10.1016/j.envpol.2021.117404] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [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: 10/23/2020] [Revised: 05/04/2021] [Accepted: 05/16/2021] [Indexed: 05/04/2023]
Abstract
Epidemiological studies mostly focus on single environmental exposures. This study aims to systematically assess associations between a wide range of prenatal and childhood environmental exposures and cognition. The study sample included data of 1298 mother-child pairs, children were 6-11 years-old, from six European birth cohorts. We measured 87 exposures during pregnancy and 122 cross-sectionally during childhood, including air pollution, built environment, meteorology, natural spaces, traffic, noise, chemicals and life styles. The measured cognitive domains were fluid intelligence (Raven's Coloured Progressive Matrices test, CPM), attention (Attention Network Test, ANT) and working memory (N-Back task). We used two statistical approaches to assess associations between exposure and child cognition: the exposome-wide association study (ExWAS) considering each exposure independently, and the deletion-substitution-addition algorithm (DSA) considering all exposures simultaneously to build a final multiexposure model. Based on this multiexposure model that included the exposure variables selected by ExWAS and DSA models, child organic food intake was associated with higher fluid intelligence (CPM) scores (beta = 1.18; 95% CI = 0.50, 1.87) and higher working memory (N-Back) scores (0.23; 0.05, 0.41), and child fast food intake (-1.25; -2.10, -0.40), house crowding (-0.39; -0.62, -0.16), and child environmental tobacco smoke (ETS) (-0.89; -1.42, -0.35), were all associated with lower CPM scores. Indoor PM2.5 exposure was associated with lower N-Back scores (-0.09; -0.16, -0.02). Additional associations in the unexpected direction were found: Higher prenatal mercury levels, maternal alcohol consumption and child higher perfluorooctane sulfonic acid (PFOS) levels were associated with better cognitive performance; and higher green exposure during pregnancy with lower cognitive performance. This first comprehensive and systematic study of many prenatal and childhood environmental risk factors suggests that unfavourable child nutrition, family crowdedness and child indoor air pollution and ETS exposures adversely and cross-sectionally associate with cognitive function. Unexpected associations were also observed and maybe due to confounding and reverse causality.
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Affiliation(s)
- Jordi Julvez
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Hospital Universitari Sant Joan de Reus, Reus (Tarragona), Catalonia, Spain; Barcelona Institute for Global Health (ISGlobal), Barcelona, Catalonia, Spain; CIBER Epidemiologia y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain.
| | - Mónica López-Vicente
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Catalonia, Spain; CIBER Epidemiologia y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Universitat Pompeu Fabra, Barcelona, Catalonia, Spain; Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Centre-Sophia Children's Hospital, PO Box 2060, 3000 CB, Rotterdam, the Netherlands
| | - Charline Warembourg
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Catalonia, Spain; CIBER Epidemiologia y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Universitat Pompeu Fabra, Barcelona, Catalonia, Spain
| | - Lea Maitre
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Catalonia, Spain; CIBER Epidemiologia y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Universitat Pompeu Fabra, Barcelona, Catalonia, Spain
| | - Claire Philippat
- Team of Environmental Epidemiology Applied to Reproduction and Respiratory Health, Institute for Advanced Biosciences (IAB), Inserm U1209, CNRS UMR 5309, Université Grenoble Alpes, 38000, Grenoble, France
| | - Kristine B Gützkow
- Department of Environmental Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Monica Guxens
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Catalonia, Spain; CIBER Epidemiologia y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Universitat Pompeu Fabra, Barcelona, Catalonia, Spain; Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Centre-Sophia Children's Hospital, PO Box 2060, 3000 CB, Rotterdam, the Netherlands
| | - Jorunn Evandt
- Department of Environmental Health, Norwegian Institute of Public Health, Oslo, Norway
| | | | - Miguel Burgaleta
- Center for Brain and Cognition, Department of Technology, Universitat Pompeu Fabra, Roc Boronat 138, 08018, Barcelona, Catalonia, Spain
| | - Maribel Casas
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Catalonia, Spain; CIBER Epidemiologia y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Universitat Pompeu Fabra, Barcelona, Catalonia, Spain
| | - Leda Chatzi
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Greece; Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Montserrat de Castro
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Catalonia, Spain; CIBER Epidemiologia y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Universitat Pompeu Fabra, Barcelona, Catalonia, Spain
| | - David Donaire-González
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Catalonia, Spain; CIBER Epidemiologia y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Universitat Pompeu Fabra, Barcelona, Catalonia, Spain; Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Victoria, Australia
| | | | - Carles Hernandez-Ferrer
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Catalonia, Spain; CIBER Epidemiologia y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Universitat Pompeu Fabra, Barcelona, Catalonia, Spain
| | - Barbara Heude
- Université de Paris, Centre for Research in Epidemiology and Statistics (CRESS), INSERM, INRAE, Paris, France
| | - Rosie Mceachan
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Mark Mon-Williams
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Mark Nieuwenhuijsen
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Catalonia, Spain; CIBER Epidemiologia y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Universitat Pompeu Fabra, Barcelona, Catalonia, Spain
| | - Oliver Robinson
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, UK
| | - Amrit K Sakhi
- Department of Environmental Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Nuria Sebastian-Galles
- Center for Brain and Cognition, Department of Technology, Universitat Pompeu Fabra, Roc Boronat 138, 08018, Barcelona, Catalonia, Spain
| | - Remy Slama
- Team of Environmental Epidemiology Applied to Reproduction and Respiratory Health, Institute for Advanced Biosciences (IAB), Inserm U1209, CNRS UMR 5309, Université Grenoble Alpes, 38000, Grenoble, France
| | - Jordi Sunyer
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Catalonia, Spain; CIBER Epidemiologia y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Universitat Pompeu Fabra, Barcelona, Catalonia, Spain
| | - Ibon Tamayo-Uria
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Catalonia, Spain; CIBER Epidemiologia y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Universitat Pompeu Fabra, Barcelona, Catalonia, Spain; Division of Immunology and Immunotherapy, Cima Universidad de Navarra and "Instituto de Investigación Sanitaria de Navarra (IdISNA)", Pamplona, Spain
| | - Cathrine Thomsen
- Department of Environmental Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Jose Urquiza
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Catalonia, Spain; CIBER Epidemiologia y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Universitat Pompeu Fabra, Barcelona, Catalonia, Spain
| | - Marina Vafeiadi
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Greece
| | - John Wright
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Xavier Basagaña
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Catalonia, Spain; CIBER Epidemiologia y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Universitat Pompeu Fabra, Barcelona, Catalonia, Spain
| | - Martine Vrijheid
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Catalonia, Spain; CIBER Epidemiologia y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Universitat Pompeu Fabra, Barcelona, Catalonia, Spain
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Maitre L, Julvez J, López-Vicente M, Warembourg C, Tamayo-Uria I, Philippat C, Gützkow KB, Guxens M, Andrusaityte S, Basagaña X, Casas M, de Castro M, Chatzi L, Evandt J, Gonzalez JR, Gražulevičienė R, Smastuen Haug L, Heude B, Hernandez-Ferrer C, Kampouri M, Manson D, Marquez S, McEachan R, Nieuwenhuijsen M, Robinson O, Slama R, Thomsen C, Urquiza J, Vafeidi M, Wright J, Vrijheid M. Early-life environmental exposure determinants of child behavior in Europe: A longitudinal, population-based study. Environ Int 2021; 153:106523. [PMID: 33773142 PMCID: PMC8140407 DOI: 10.1016/j.envint.2021.106523] [Citation(s) in RCA: 43] [Impact Index Per Article: 14.3] [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: 10/14/2020] [Revised: 03/11/2021] [Accepted: 03/11/2021] [Indexed: 05/20/2023]
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.
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Affiliation(s)
- Léa Maitre
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiologa y Salud Pública (CIBERESP), Madrid, Spain.
| | - Jordi Julvez
- 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
| | - Monica López-Vicente
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiologa y Salud Pública (CIBERESP), Madrid, Spain
| | - Charline Warembourg
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiologa y Salud Pública (CIBERESP), Madrid, Spain
| | - Ibon Tamayo-Uria
- 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
| | - Claire Philippat
- INSERM, Univ. Grenoble Alpes, CNRS, IAB (Institute of Advanced Biosciences), Team of Environmental Epidemiology Applied to Reproduction and Respiratory Health, Grenoble, France
| | - Kristine B Gützkow
- Department of Environment and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Monica Guxens
- 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
| | | | - Xavier Basagaña
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiologa y Salud Pública (CIBERESP), Madrid, Spain
| | - Maribel Casas
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiologa y Salud Pública (CIBERESP), Madrid, Spain
| | - Montserrat de Castro
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiologa y Salud Pública (CIBERESP), Madrid, Spain
| | - Leda Chatzi
- Department of Preventive Medicine, Keck School of Medicine at USC, Los Angeles, USA
| | - Jorunn Evandt
- Department of Environment and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Juan R Gonzalez
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiologa y Salud Pública (CIBERESP), Madrid, Spain
| | | | - Line Smastuen Haug
- Department of Environment and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Barbara Heude
- Université de Paris, Center for Research in Epidemiology and StatisticS (CRESS), INSERM, INRA, F-75004 Paris, France
| | - Carles Hernandez-Ferrer
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiologa y Salud Pública (CIBERESP), Madrid, Spain
| | - Mariza Kampouri
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Greece
| | - Dan Manson
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Sandra Marquez
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiologa y Salud Pública (CIBERESP), Madrid, Spain
| | - Rosie McEachan
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Mark Nieuwenhuijsen
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiologa y Salud Pública (CIBERESP), Madrid, Spain
| | - Oliver Robinson
- MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom
| | - Remy Slama
- INSERM, Univ. Grenoble Alpes, CNRS, IAB (Institute of Advanced Biosciences), Team of Environmental Epidemiology Applied to Reproduction and Respiratory Health, Grenoble, France
| | - Cathrine Thomsen
- Department of Environment and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Jose Urquiza
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiologa y Salud Pública (CIBERESP), Madrid, Spain
| | - Marina Vafeidi
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Greece
| | - John Wright
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Martine Vrijheid
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiologa y Salud Pública (CIBERESP), Madrid, Spain
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11
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Güil-Oumrait N, Valvi D, Garcia-Esteban R, Guxens M, Sunyer J, Torrent M, Casas M, Vrijheid M. Prenatal exposure to persistent organic pollutants and markers of obesity and cardiometabolic risk in Spanish adolescents. Environ Int 2021; 151:106469. [PMID: 33711537 PMCID: PMC7960637 DOI: 10.1016/j.envint.2021.106469] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [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: 11/16/2020] [Revised: 02/10/2021] [Accepted: 02/15/2021] [Indexed: 05/08/2023]
Abstract
BACKGROUND Prenatal exposure to persistent organic pollutants (POPs) has been linked to cardiometabolic (CM) risk factors in childhood, but there are no studies evaluating the persistence of these associations into adolescence, a period of relevant changes in endocrine-dependent organ systems and rapid increases in lean and fat mass. We examined the associations of prenatal POP exposures with body mass index (BMI) from age 4 to 18 years, and with other CM risk markers in adolescence. METHODS We analysed 379 children from the Spanish INMA-Menorca birth cohort study with measured cord blood POP concentrations. We calculated BMI z-scores at ages 4, 6, 11, 14 and 18 years using the WHO growth reference. Body fat % was measured at 11 and 18 years and waist-to-height ratio (WHtR) and blood pressure (BP) at 11, 14 and 18 years. We measured CM biomarkers in fasting blood collected at age 14 years and calculated a CM-risk score as the sum of the sex-, and age-specific z-scores for waist circumference, mean arterial BP, homeostatic model assessment of insulin resistance, fasting blood triglycerides, and high-density lipoprotein cholesterol (HDL-C) (n = 217). Generalised estimating equations and multivariate linear regression models assessed the associations with repeated and single time-point measures, respectively. RESULTS Hexachlorobenzene (HCB) exposure in the third tertile, compared to the first tertile, was associated with higher BMI (β = 0.24; 95% CI: 0.01, 0.47) and WHtR z-score (β = 0.27; 95% CI: 0.04, 0.51). A continuous increase in HCB was associated with an elevated body fat % (β per 10-fold increase = 4.21; 95% CI: 0.51, 7.92), systolic BP (β = 0.32; 95% CI: 0.02, 0.64) and diastolic BP z-score (β = 0.32; 95% CI: 0.02, 0.62) across all ages, and with higher CM-risk score (β = 1.59; 95% CI: 0.02, 3.18) and lipid biomarkers (total cholesterol, triglycerides and low-density lipoprotein cholesterol (LDL-C)) at 14 years. Dichlorodiphenyltrichloroethane (p,p'-DDT) exposure was non-monotonically associated with BMI and systolic BP. p,p'-DDE and Σ-polychlorinated biphenyls (PCBs) (sum of congeners 118, 138, 153, 180) were not associated with adiposity or BP. p,p'-DDT exposure was associated with an increased CM-risk score, and ΣPCBs concentrations with LDL-C in all adolescents and with total cholesterol only in girls (p-sex interaction = 0.05). CONCLUSION This first longitudinal study from 4 to 18 years suggests that the previously reported POP associations with child BMI persist later in adolescence and that prenatal POP exposures are associated with major risk factors for adult CM syndrome.
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Affiliation(s)
- Nuria Güil-Oumrait
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain.
| | - Damaskini Valvi
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
| | - Raquel Garcia-Esteban
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain.
| | - Monica Guxens
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain; Department of Child and Adolescent Psychiatry, Erasmus MC, University Medical Centre, Rotterdam, The Netherlands.
| | - Jordi Sunyer
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain; IMIM-Parc Salut Mar, Barcelona, Catalonia, Spain.
| | | | - Maribel Casas
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain.
| | - Martine Vrijheid
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain.
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12
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Korevaar TIM, Derakhshan A, Taylor PN, Meima M, Chen L, Bliddal S, Carty DM, Meems M, Vaidya B, Shields B, Ghafoor F, Popova PV, Mosso L, Oken E, Suvanto E, Hisada A, Yoshinaga J, Brown SJ, Bassols J, Auvinen J, Bramer WM, López-Bermejo A, Dayan C, Boucai L, Vafeiadi M, Grineva EN, Tkachuck AS, Pop VJM, Vrijkotte TG, Guxens M, Chatzi L, Sunyer J, Jiménez-Zabala A, Riaño I, Murcia M, Lu X, Mukhtar S, Delles C, Feldt-Rasmussen U, Nelson SM, Alexander EK, Chaker L, Männistö T, Walsh JP, Pearce EN, Steegers EAP, Peeters RP. Association of Thyroid Function Test Abnormalities and Thyroid Autoimmunity With Preterm Birth: A Systematic Review and Meta-analysis. JAMA 2019; 322:632-641. [PMID: 31429897 PMCID: PMC6704759 DOI: 10.1001/jama.2019.10931] [Citation(s) in RCA: 185] [Impact Index Per Article: 37.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2019] [Accepted: 07/08/2019] [Indexed: 01/27/2023]
Abstract
Importance Maternal hypothyroidism and hyperthyroidism are risk factors for preterm birth. Milder thyroid function test abnormalities and thyroid autoimmunity are more prevalent, but it remains controversial if these are associated with preterm birth. Objective To study if maternal thyroid function test abnormalities and thyroid autoimmunity are risk factors for preterm birth. Data Sources and Study Selection Studies were identified through a search of the Ovid MEDLINE, EMBASE, Web of Science, the Cochrane Central Register of Controlled Trials, and Google Scholar databases from inception to March 18, 2018, and by publishing open invitations in relevant journals. Data sets from published and unpublished prospective cohort studies with data on thyroid function tests (thyrotropin [often referred to as thyroid-stimulating hormone or TSH] and free thyroxine [FT4] concentrations) or thyroid peroxidase (TPO) antibody measurements and gestational age at birth were screened for eligibility by 2 independent reviewers. Studies in which participants received treatment based on abnormal thyroid function tests were excluded. Data Extraction and Synthesis The primary authors provided individual participant data that were analyzed using mixed-effects models. Main Outcomes and Measures The primary outcome was preterm birth (<37 weeks' gestational age). Results From 2526 published reports, 35 cohorts were invited to participate. After the addition of 5 unpublished data sets, a total of 19 cohorts were included. The study population included 47 045 pregnant women (mean age, 29 years; median gestational age at blood sampling, 12.9 weeks), of whom 1234 (3.1%) had subclinical hypothyroidism (increased thyrotropin concentration with normal FT4 concentration), 904 (2.2%) had isolated hypothyroxinemia (decreased FT4 concentration with normal thyrotropin concentration), and 3043 (7.5%) were TPO antibody positive; 2357 (5.0%) had a preterm birth. The risk of preterm birth was higher for women with subclinical hypothyroidism than euthyroid women (6.1% vs 5.0%, respectively; absolute risk difference, 1.4% [95% CI, 0%-3.2%]; odds ratio [OR], 1.29 [95% CI, 1.01-1.64]). Among women with isolated hypothyroxinemia, the risk of preterm birth was 7.1% vs 5.0% in euthyroid women (absolute risk difference, 2.3% [95% CI, 0.6%-4.5%]; OR, 1.46 [95% CI, 1.12-1.90]). In continuous analyses, each 1-SD higher maternal thyrotropin concentration was associated with a higher risk of preterm birth (absolute risk difference, 0.2% [95% CI, 0%-0.4%] per 1 SD; OR, 1.04 [95% CI, 1.00-1.09] per 1 SD). Thyroid peroxidase antibody-positive women had a higher risk of preterm birth vs TPO antibody-negative women (6.6% vs 4.9%, respectively; absolute risk difference, 1.6% [95% CI, 0.7%-2.8%]; OR, 1.33 [95% CI, 1.15-1.56]). Conclusions and Relevance Among pregnant women without overt thyroid disease, subclinical hypothyroidism, isolated hypothyroxinemia, and TPO antibody positivity were significantly associated with higher risk of preterm birth. These results provide insights toward optimizing clinical decision-making strategies that should consider the potential harms and benefits of screening programs and levothyroxine treatment during pregnancy.
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Affiliation(s)
- T I M Korevaar
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
- Academic Center for Thyroid Diseases, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Arash Derakhshan
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
- Academic Center for Thyroid Diseases, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Peter N Taylor
- Thyroid Research Group, Systems Immunity Research Institute, School of Medicine, Cardiff University, Cardiff, England
| | - Marcel Meima
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
- Academic Center for Thyroid Diseases, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Liangmiao Chen
- Department of Endocrinology and Rui'an Center of the Chinese-American Research Institute for Diabetic Complications, Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Sofie Bliddal
- Department of Medical Endocrinology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - David M Carty
- Department of Diabetes, Endocrinology, and Clinical Pharmacology, Glasgow Royal Infirmary, Glasgow, Scotland
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, Scotland
| | - Margreet Meems
- Departments of Medical and Clinical Psychology, Tilburg University, Tilburg, the Netherlands
| | - Bijay Vaidya
- Department of Endocrinology, Royal Devon and Exeter Hospital NHS Foundation Trust, University of Exeter Medical School, Exeter, England
| | - Beverley Shields
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, England
| | - Farkhanda Ghafoor
- National Health Research Complex, Shaikh Zayed Medical Complex, Lahore, Pakistan
| | - Polina V Popova
- Almazov National Medical Research Centre, St Petersburg, Russia
- Department of Internal Diseases and Endocrinology, St Petersburg Pavlov State Medical University, St Petersburg, Russia
| | - Lorena Mosso
- Department of Endocrinology, Pontificia Universidad Catolica de Chile, Santiago
| | - Emily Oken
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School, Boston, Massachusetts
- Harvard Pilgrim Health Care Institute, Boston, Massachusetts
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - Eila Suvanto
- Department of Obstetrics and Gynecology and Medical Research Center Oulu, University of Oulu, Oulu, Finland
| | - Aya Hisada
- Center for Preventive Medical Science, Chiba University, Chiba, Japan
| | - Jun Yoshinaga
- Faculty of Life Sciences, Toyo University, Gunma, Japan
| | - Suzanne J Brown
- Department of Endocrinology and Diabetes, Sir Charles Gairdner Hospital, Nedlands, Australia
| | - Judit Bassols
- Maternal-Fetal Metabolic Research Group, Girona Biomedical Research Institute, Dr Josep Trueta Hospital, Girona, Spain
| | - Juha Auvinen
- Medical Research Center Oulu, Oulu University Hospital, Center for Life Course Health Research, University of Oulu, Oulu, Finland
| | - Wichor M Bramer
- Medical Library, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Abel López-Bermejo
- Pediatric Endocrinology Research Group, Girona Biomedical Research Institute, Dr Josep Trueta Hospital, Girona, Spain
| | - Colin Dayan
- Thyroid Research Group, Institute of Molecular and Experimental Medicine, School of Medicine, Cardiff University, Cardiff, England
| | - Laura Boucai
- Division of Endocrinology, Department of Medicine, Memorial Sloan-Kettering Cancer Center, Weill Cornell University, New York, New York
| | - Marina Vafeiadi
- Department of Social Medicine, University of Crete, Heraklion, Greece
| | - Elena N Grineva
- Almazov National Medical Research Centre, St Petersburg, Russia
- Department of Internal Diseases and Endocrinology, St Petersburg Pavlov State Medical University, St Petersburg, Russia
| | - Alexandra S Tkachuck
- Almazov National Medical Research Centre, St Petersburg, Russia
- Department of Internal Diseases and Endocrinology, St Petersburg Pavlov State Medical University, St Petersburg, Russia
| | - Victor J M Pop
- Departments of Medical and Clinical Psychology, Tilburg University, Tilburg, the Netherlands
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Lertxundi A, Andiarena A, Martínez MD, Ayerdi M, Murcia M, Estarlich M, Guxens M, Sunyer J, Julvez J, Ibarluzea J. Prenatal exposure to PM 2.5 and NO 2 and sex-dependent infant cognitive and motor development. Environ Res 2019; 174:114-121. [PMID: 31055169 DOI: 10.1016/j.envres.2019.04.001] [Citation(s) in RCA: 56] [Impact Index Per Article: 11.2] [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: 11/26/2018] [Revised: 03/14/2019] [Accepted: 04/03/2019] [Indexed: 05/05/2023]
Abstract
BACKGROUND Prenatal exposure to air pollutants including particulate matter (<2.5 μm of diameter,PM2.5)and nitrogen dioxide (NO2) has been identified as a potential risk factor for neuropsychological developmental and mental health disorders. OBJECTIVE This study aimed to analyze the associations between prenatal PM2.5 and NO2 exposure and cognitive functions in children at 4-6 years of age, including sex differences, and the modification effect of the duration predominant breastfeeding these associations. DESIGN This study was conducted as part of the INMA project, a population-based birth cohort study in Spain (n = 1119). Each of the pregnant mothers was assigned a prenatal exposure to PM2.5 and NO2 for their whole pregnancy based on their place of residence. At the 4-6 year-old follow-up, infants' neuropsychological development was assessed using McCarthy scales: Verbal, Perceptive-Manipulative, Numeric, General Cognitive, Memory and Motor (gross and fine). Between 6 and 14 months of age, information concerning breastfeeding was gathered with a questionnaire. Regression analyses were performed to estimate the associations between exposure and outcomes, accounting for potential confounders. The analyses were stratified by child sex and breastfeeding duration. RESULTS The majority of coefficients for the different cognitive domains were negative either for PM2.5 and NO2, though none was statistically significant. After stratifying by sex, the associations become even more negative for boys, with some of the associations becoming statistically significant (memory both for PM2.5 and NO2), and global cognition and verbal for NO2. Duration of predominant breastfeeding was not found to have a modifying effect. CONCLUSIONS These findings suggest a sex-dependent effects on neuropsychological development at 4-6 years of age, with a greater vulnerability in boys, specifically in domains related to memory, verbal and general cognition. No modifying effect was observed for duration of predominant breastfeeding.
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Affiliation(s)
- Aitana Lertxundi
- Preventive Medicine and Public Health, University of the Basque Country (UPV/EHU), Leioa, 48940, Spain; Biodonostia Health Institute Research, San Sebastián, Basque Country, 20014, Spain; Spanish Consortium for Research and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, 28029, Spain.
| | - Ainara Andiarena
- Biodonostia Health Institute Research, San Sebastián, Basque Country, 20014, Spain; School of Psychology, University of the Basque Country(UPV/EHU), San Sebastián, 20080, Spain
| | - María Dolores Martínez
- Biodonostia Health Institute Research, San Sebastián, Basque Country, 20014, Spain; Environment and Regional Planning Department, Basque Government, Vitoria, 01010, Spain
| | - Mikel Ayerdi
- Biodonostia Health Institute Research, San Sebastián, Basque Country, 20014, Spain; Sub-directorate for Public Health of Gipuzkoa, BasqueGovernment, San Sebastián, 20013, Spain
| | - Mario Murcia
- Spanish Consortium for Research and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, 28029, Spain; Epidemiology and Environmental Health Joint Research Unit, FISABIO-UniversitatJaume I-Universitat de València, Valencia, 46020, Spain
| | - Marisa Estarlich
- Spanish Consortium for Research and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, 28029, Spain; Epidemiology and Environmental Health Joint Research Unit, FISABIO-UniversitatJaume I-Universitat de València, Valencia, 46020, Spain
| | - Monica Guxens
- Spanish Consortium for Research and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, 28029, Spain; ISGlobal, Center for Research in Environmental Epidemiology (CREAL), Barcelona, Catalonia, 08003, Spain; Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Centre-Sophia Children's Hospital, Rotterdam, 3015CN, the Netherlands; PompeuFabraUniversity, Barcelona, Catalonia, 08003, Spain
| | - Jordi Sunyer
- Spanish Consortium for Research and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, 28029, Spain; ISGlobal, Center for Research in Environmental Epidemiology (CREAL), Barcelona, Catalonia, 08003, Spain; PompeuFabraUniversity, Barcelona, Catalonia, 08003, Spain; Hospital del Mar Research Institute (IMIM), Barcelona, Catalonia, 08003, Spain
| | - Jordi Julvez
- Spanish Consortium for Research and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, 28029, Spain; ISGlobal, Center for Research in Environmental Epidemiology (CREAL), Barcelona, Catalonia, 08003, Spain; PompeuFabraUniversity, Barcelona, Catalonia, 08003, Spain; Hospital del Mar Research Institute (IMIM), Barcelona, Catalonia, 08003, Spain
| | - Jesús Ibarluzea
- Biodonostia Health Institute Research, San Sebastián, Basque Country, 20014, Spain; Spanish Consortium for Research and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, 28029, Spain; School of Psychology, University of the Basque Country(UPV/EHU), San Sebastián, 20080, Spain; Sub-directorate for Public Health of Gipuzkoa, BasqueGovernment, San Sebastián, 20013, Spain
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Derakhshan A, Korevaar TIM, Taylor PN, Levie D, Guxens M, Jaddoe VWV, Nelson SM, Tiemeier H, Peeters RP. The Association of Maternal Thyroid Autoimmunity During Pregnancy With Child IQ. J Clin Endocrinol Metab 2018; 103:3729-3736. [PMID: 30020468 DOI: 10.1210/jc.2018-00743] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/05/2018] [Accepted: 04/12/2018] [Indexed: 02/13/2023]
Abstract
CONTEXT Thyroperoxidase antibody (TPOAb) positivity is a major risk factor for gestational thyroid dysfunction. During the first 18 to 20 weeks of pregnancy, high concentrations of human chorionic gonadotropin (hCG) stimulate the thyroid to ensure adequate thyroid hormone availability for the developing fetus. However, TPOAb-positive women have an impaired thyroidal response to hCG stimulation. OBJECTIVE To study the association of maternal TPOAb positivity during pregnancy with child IQ. DESIGN, SETTING, AND PARTICIPANTS This study was embedded in two prospective birth cohorts: Generation R (Rotterdam, the Netherlands) and Avon Longitudinal Study of Parents and Children (ALSPAC; United Kingdom). Mother-child pairs with available data on early pregnancy TPOAb (≤18 weeks of gestation) and offspring IQ were included (n = 3637 for Generation R and n = 2396 for ALSPAC). MAIN OUTCOME MEASURES Child IQ at 5 to 10 years of age. RESULTS In Generation R, TPOAb positivity was associated with a 2.0 ± 0.9-point lower mean child IQ (P = 0.03). Sensitivity analyses showed negative effect estimates already from TPOAb concentrations considerably lower than currently used manufacturer cutoffs. In ALSPAC, neither TPOAb positivity nor TPOAb concentrations below manufacturer cutoffs were associated with child IQ (TPOAb positivity: 0.7 ± 1.0; P = 0.45). Adjustment for maternal TSH or free T4 concentrations or urinary iodine/creatinine ratio did not change the results. CONCLUSION TPOAb positivity during pregnancy was associated with lower child IQ in Generation R but not in ALSPAC. Further studies are needed to elucidate whether differences between the study populations, such as maternal iodine status, could be the underlying cause for these differences.
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Affiliation(s)
- Arash Derakhshan
- Academic Center for Thyroid Diseases, Department of Internal Medicine, Erasmus MC, Rotterdam, Netherlands
- The Generation R Study Group, Erasmus MC, Rotterdam, Netherlands
| | - Tim I M Korevaar
- Academic Center for Thyroid Diseases, Department of Internal Medicine, Erasmus MC, Rotterdam, Netherlands
- The Generation R Study Group, Erasmus MC, Rotterdam, Netherlands
| | - Peter N Taylor
- Thyroid Research Group, Systems Immunity Research Institute, Cardiff University School of Medicine, Cardiff, United Kingdom
| | - Deborah Levie
- Academic Center for Thyroid Diseases, Department of Internal Medicine, Erasmus MC, Rotterdam, Netherlands
- The Generation R Study Group, Erasmus MC, Rotterdam, Netherlands
- ISGlobal, Centre for Research in Environmental Epidemiology, Barcelona, Spain
| | - Monica Guxens
- ISGlobal, Centre for Research in Environmental Epidemiology, Barcelona, Spain
- Pompeu Fabra University, Barcelona, Spain
- Spanish Consortium for Research on Epidemiology and Public Health, Instituto de Salud Carlos III, Madrid, Spain
| | - Vincent W V Jaddoe
- The Generation R Study Group, Erasmus MC, Rotterdam, Netherlands
- Department of Pediatrics, Erasmus MC, Rotterdam, the Netherlands
| | - Scott M Nelson
- School of Medicine, University of Glasgow, Glasgow, United Kingdom
| | - Henning Tiemeier
- Department of Child and Adolescent Psychiatry, Erasmus MC, Rotterdam, Netherlands
- Department of Epidemiology, Erasmus MC, Rotterdam, Netherlands
| | - Robin P Peeters
- Academic Center for Thyroid Diseases, Department of Internal Medicine, Erasmus MC, Rotterdam, Netherlands
- The Generation R Study Group, Erasmus MC, Rotterdam, Netherlands
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15
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Warrington NM, Richmond R, Fenstra B, Myhre R, Gaillard R, Paternoster L, Wang CA, Beaumont RN, Das S, Murcia M, Barton SJ, Espinosa A, Thiering E, Atalay M, Pitkänen N, Ntalla I, Jonsson AE, Freathy R, Karhunen V, Tiesler CMT, Allard C, Crawford A, Ring SM, Melbye M, Magnus P, Rivadeneira F, Skotte L, Hansen T, Marsh J, Guxens M, Holloway JW, Grallert H, Jaddoe VWV, Lowe Jr WL, Roumeliotaki T, Hattersley AT, Lindi V, Pahkala K, Panoutsopoulou K, Standl M, Flexeder C, Bouchard L, Aagaard Nohr E, Marina LS, Kogevinas M, Niinikoski H, Dedoussis G, Heinrich J, Reynolds RM, Lakka T, Zeggini E, Raitakari OT, Chatzi L, Inskip HM, Bustamante M, Hivert MF, Jarvelin MR, Sørensen TIA, Pennell C, Felix JF, Jacobsson B, Geller F, Evans DM, Lawlor DA. Maternal and fetal genetic contribution to gestational weight gain. Int J Obes (Lond) 2018; 42:775-784. [PMID: 28990592 PMCID: PMC5784805 DOI: 10.1038/ijo.2017.248] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2016] [Revised: 08/27/2017] [Accepted: 09/03/2017] [Indexed: 12/25/2022]
Abstract
BACKGROUND Clinical recommendations to limit gestational weight gain (GWG) imply high GWG is causally related to adverse outcomes in mother or offspring, but GWG is the sum of several inter-related complex phenotypes (maternal fat deposition and vascular expansion, placenta, amniotic fluid and fetal growth). Understanding the genetic contribution to GWG could help clarify the potential effect of its different components on maternal and offspring health. Here we explore the genetic contribution to total, early and late GWG. PARTICIPANTS AND METHODS A genome-wide association study was used to identify maternal and fetal variants contributing to GWG in up to 10 543 mothers and 16 317 offspring of European origin, with replication in 10 660 mothers and 7561 offspring. Additional analyses determined the proportion of variability in GWG from maternal and fetal common genetic variants and the overlap of established genome-wide significant variants for phenotypes relevant to GWG (for example, maternal body mass index (BMI) and glucose, birth weight). RESULTS Approximately 20% of the variability in GWG was tagged by common maternal genetic variants, and the fetal genome made a surprisingly minor contribution to explain variation in GWG. Variants near the pregnancy-specific beta-1 glycoprotein 5 (PSG5) gene reached genome-wide significance (P=1.71 × 10-8) for total GWG in the offspring genome, but did not replicate. Some established variants associated with increased BMI, fasting glucose and type 2 diabetes were associated with lower early, and higher later GWG. Maternal variants related to higher systolic blood pressure were related to lower late GWG. Established maternal and fetal birth weight variants were largely unrelated to GWG. CONCLUSIONS We found a modest contribution of maternal common variants to GWG and some overlap of maternal BMI, glucose and type 2 diabetes variants with GWG. These findings suggest that associations between GWG and later offspring/maternal outcomes may be due to the relationship of maternal BMI and diabetes with GWG.
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Affiliation(s)
- N M Warrington
- University of Queensland Diamantina Institute, Translational Research Institute, Brisbane, Queensland, Australia
- Division of Obstetrics and Gynaecology, The University of Western Australia, Perth, Western Australia, Australia
| | - R Richmond
- Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK
| | - B Fenstra
- Department of Epidemiology Research, Statens Serum Institute, Copenhagen, Denmark
| | - R Myhre
- Norwegian Institute of Public Health, Oslo, Norway
| | - R Gaillard
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - L Paternoster
- Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK
| | - C A Wang
- Division of Obstetrics and Gynaecology, The University of Western Australia, Perth, Western Australia, Australia
| | - R N Beaumont
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, University of Exeter, Royal Devon and Exeter Hospital, Exeter, UK
| | - S Das
- Department of Public Health and Primary Care, School of Public Health, Imperial College London, London, UK
| | - M Murcia
- Epidemiology and Environmental Health Joint Research Unit, FISABIO–Universitat Jaume I–Universitat de València, Valencia, Spain
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Spain
| | - S J Barton
- MRC Lifecourse Epidemiology Unit, Faulty of Medicine, University of Southampton, Southampton, UK
| | - A Espinosa
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Spain
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - E Thiering
- Institute of Epidemiology I, Helmholtz Zentrum München- German Research Center for Environmental Health, Neuherberg, Germany
- Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children's Hospital, University of Munich Medical Center, Munich, Germany
| | - M Atalay
- Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio, Finland
| | - N Pitkänen
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
| | - I Ntalla
- William Harvey Research Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - A E Jonsson
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, and Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - R Freathy
- Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, University of Exeter, Royal Devon and Exeter Hospital, Exeter, UK
| | - V Karhunen
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
- Biocenter Oulu, University of Oulu, Oulu, Finland
| | - C M T Tiesler
- Institute of Epidemiology I, Helmholtz Zentrum München- German Research Center for Environmental Health, Neuherberg, Germany
- Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children's Hospital, University of Munich Medical Center, Munich, Germany
| | - C Allard
- Centre de Recherche du Centre Hospitalier Universitaire de Sherbrooke, Sherbrooke, Canada
| | - A Crawford
- Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- British Heart Foundation Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - S M Ring
- Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- ALSPAC (Children of the 90s), School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - M Melbye
- Department of Epidemiology Research, Statens Serum Institute, Copenhagen, Denmark
- Department of Clinical Medicine, Copenhagen University, Copenhagen, Denmark
- Department of Medicine, Stanford School of Medicine, Stanford, CA, USA
| | - P Magnus
- Norwegian Institute of Public Health, Oslo, Norway
| | - F Rivadeneira
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - L Skotte
- Department of Epidemiology Research, Statens Serum Institute, Copenhagen, Denmark
| | - T Hansen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, and Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - J Marsh
- Division of Obstetrics and Gynaecology, The University of Western Australia, Perth, Western Australia, Australia
| | - M Guxens
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Spain
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Centre–Sophia Children’s Hospital, Rotterdam, The Netherlands
| | - J W Holloway
- Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK
| | - H Grallert
- Institute of Epidemiology II, Research Unit of Molecular Epidemiology, Helmholtz Zentrum München Research Center for Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Clinical Cooperation Group Type 2 Diabetes, Helmholtz Zentrum München, Neuherberg, Germany
- Clinical Cooperation Group Nutrigenomics and Type 2 Diabetes, Helmholtz Zentrum München, Neuherberg, Germany
- Technische Universität München, Freising, Germany
| | - V W V Jaddoe
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - W L Lowe Jr
- Department of Medicine, Division of Endocrinology, Metabolism, and Molecular Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - T Roumeliotaki
- Department of Social Medicine, University of Crete, Crete, Greece
| | - A T Hattersley
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, University of Exeter, Royal Devon and Exeter Hospital, Exeter, UK
| | - V Lindi
- Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio, Finland
| | - K Pahkala
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Paavo Nurmi Centre, Sports and Exercise Medicine Unit, Department of Health and Physical Activity, Turku, Finland
| | - K Panoutsopoulou
- Department of Human Genetics, Wellcome Trust Sanger Institute, Hinxton, UK
| | - M Standl
- Institute of Epidemiology I, Helmholtz Zentrum München- German Research Center for Environmental Health, Neuherberg, Germany
| | - C Flexeder
- Institute of Epidemiology I, Helmholtz Zentrum München- German Research Center for Environmental Health, Neuherberg, Germany
| | - L Bouchard
- Department of Biochemistry, Faculty of medicine and life sciences, Université de Sherbrooke, Sherbrooke, Canada
| | - E Aagaard Nohr
- Public Health Division of Gipuzkoa, Basque Government, Vitoria-Gasteiz, Spain
| | - L Santa Marina
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Spain
- Health Research Institute, Biodonostia, San Sebastián, Gipuzkoa, Spain
- Health Research Institute, Biodonostia, San Sebastián, Spain
| | - M Kogevinas
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Spain
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - H Niinikoski
- Department of Pediatrics, Turku University Hospital, Turku, Finland
| | - G Dedoussis
- Department of Nutrition and Dietetics, Harokopio University of Athens, Athens, Greece
| | - J Heinrich
- Institute of Epidemiology I, Helmholtz Zentrum München- German Research Center for Environmental Health, Neuherberg, Germany
- Institute and Outpatient Clinic for Occupational, Social and Environmental Medicine, Inner City Clinic, University Hospital Munich, Ludwig Maximilian University of Munich, Munich, Germany
| | - R M Reynolds
- British Heart Foundation Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - T Lakka
- Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio, Finland
- Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital, School of Medicine, University of Eastern Finland, Kuopio, Finland
- Kuopio Research Institute of Exercise Medicine, Kuopio, Finland
| | - E Zeggini
- Department of Human Genetics, Wellcome Trust Sanger Institute, Hinxton, UK
| | - O T Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
| | - L Chatzi
- Department of Social Medicine, University of Crete, Crete, Greece
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Department of Social Medicine, University of Crete, Crete, Greece
- Department of Genetics and Cell Biology, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands
| | - H M Inskip
- MRC Lifecourse Epidemiology Unit, Faulty of Medicine, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - M Bustamante
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Spain
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain
| | - M-F Hivert
- Department of Population Medicine at Harvard Pilgrim Health Care Institute, Harvard Medical School, Boston, MA, USA
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
| | - M-R Jarvelin
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
- Biocenter Oulu, University of Oulu, Oulu, Finland
- Department of Epidemiology and Biostatistics, MRC–PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- Unit of Primary Care, Oulu University Hospital, Oulu, Finland
| | - T I A Sørensen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, and Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical Epidemiology (formally the Institute of Preventive Medicine), Bispebjerg and Frederiksberg Hospital, The Capital Region, Copenhagen, Denmark
| | - C Pennell
- Division of Obstetrics and Gynaecology, The University of Western Australia, Perth, Western Australia, Australia
| | - J F Felix
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - B Jacobsson
- Department of Obstetrics and Gynecology, Sahlgrenska Academy, Gothenburg University, Gothenburg, Sweden
- Department of Genetics and Bioinformatics, Domain of Health Data and Digitalization, Institute of Public Health, Oslo, Norway
| | - F Geller
- Department of Epidemiology Research, Statens Serum Institute, Copenhagen, Denmark
| | - D M Evans
- University of Queensland Diamantina Institute, Translational Research Institute, Brisbane, Queensland, Australia
- Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
| | - D A Lawlor
- Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK
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16
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Montazeri P, Vrijheid M, Martinez D, Basterrechea M, Fernandez-Somoano A, Guxens M, Iñiguez C, Lertxundi A, Murcia M, Tardon A, Sunyer J, Valvi D. Maternal Metabolic Health Parameters During Pregnancy in Relation to Early Childhood BMI Trajectories. Obesity (Silver Spring) 2018; 26:588-596. [PMID: 29399981 DOI: 10.1002/oby.22095] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2017] [Revised: 11/15/2017] [Accepted: 11/19/2017] [Indexed: 12/26/2022]
Abstract
OBJECTIVE The objective of this study was to evaluate the associations between maternal metabolic parameters and early childhood BMI trajectories. METHODS Two thousand two hundred fifty-one children born in Spain between 2004 and 2008 were analyzed. Five BMI z score trajectories from birth to age 4 years were identified by using latent class growth analysis. Multinomial regression assessed the associations between maternal metabolic parameters and offspring's BMI trajectories. RESULTS Children in the reference BMI trajectory had average size at birth followed by a slower BMI gain. Maternal prepregnancy obesity was associated with trajectories of accelerated BMI gain departing from either higher (relative risk ratio [RRR] = 1.77; 95% CI: 1.07-2.91) or lower size at birth (RRR = 1.91; 95% CI: 1.17-3.12). Gestational weight gain (GWG) above clinical guidelines was associated with a trajectory of higher birth size followed by accelerated BMI gain (RRR = 2.14; 95% CI: 1.53-2.97). Maternal serum triglycerides were negatively associated with BMI trajectories departing from lower birth sizes. Gestational diabetes, maternal serum cholesterol, and C-reactive protein were unrelated to children's BMI trajectories. CONCLUSIONS Maternal prepregnancy obesity, GWG, and serum triglycerides are associated with longitudinal BMI trajectories in early childhood that may increase disease risk in later life. Health initiatives should promote healthy weight status before and during pregnancy to improve maternal and child health.
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Affiliation(s)
- Parisa Montazeri
- ISGlobal, Barcelona Institute for Global Health, Barcelona, Spain
- Department of Experimental and Health Sciences, Pompeu Fabra University, Barcelona, Spain
- Center for Biomedical Research in the Network of Epidemiology and Public Health, Madrid, Spain
| | - Martine Vrijheid
- ISGlobal, Barcelona Institute for Global Health, Barcelona, Spain
- Department of Experimental and Health Sciences, Pompeu Fabra University, Barcelona, Spain
- Center for Biomedical Research in the Network of Epidemiology and Public Health, Madrid, Spain
| | - David Martinez
- ISGlobal, Barcelona Institute for Global Health, Barcelona, Spain
- Department of Experimental and Health Sciences, Pompeu Fabra University, Barcelona, Spain
- Center for Biomedical Research in the Network of Epidemiology and Public Health, Madrid, Spain
| | - Mikel Basterrechea
- Center for Biomedical Research in the Network of Epidemiology and Public Health, Madrid, Spain
- Public Health Division of Gipuzkoa, Basque Government, San Sebastián, Spain
- Biodonostia Health Research Institute, San Sebastián, Spain
| | - Ana Fernandez-Somoano
- Center for Biomedical Research in the Network of Epidemiology and Public Health, Madrid, Spain
- University Institute of Oncology of the Principality of Asturias and Area of Preventive Medicine and Public Health, Department of Medicine, University of Oviedo, Oviedo, Asturias, Spain
| | - Monica Guxens
- ISGlobal, Barcelona Institute for Global Health, Barcelona, Spain
- Department of Experimental and Health Sciences, Pompeu Fabra University, Barcelona, Spain
- Center for Biomedical Research in the Network of Epidemiology and Public Health, Madrid, Spain
| | - Carmen Iñiguez
- Center for Biomedical Research in the Network of Epidemiology and Public Health, Madrid, Spain
- Epidemiology and Environmental Health Joint Research Unit, Foundation for the Promotion of Health and Biomedical Research of the Valencia Region, Jaume I University, and University of Valencia, Valencia, Spain
| | - Aitana Lertxundi
- Center for Biomedical Research in the Network of Epidemiology and Public Health, Madrid, Spain
- Public Health Division of Gipuzkoa, Basque Government, San Sebastián, Spain
- Biodonostia Health Research Institute, San Sebastián, Spain
| | - Mario Murcia
- Center for Biomedical Research in the Network of Epidemiology and Public Health, Madrid, Spain
- Epidemiology and Environmental Health Joint Research Unit, Foundation for the Promotion of Health and Biomedical Research of the Valencia Region, Jaume I University, and University of Valencia, Valencia, Spain
| | - Adonina Tardon
- Center for Biomedical Research in the Network of Epidemiology and Public Health, Madrid, Spain
- University Institute of Oncology of the Principality of Asturias and Area of Preventive Medicine and Public Health, Department of Medicine, University of Oviedo, Oviedo, Asturias, Spain
| | - Jordi Sunyer
- ISGlobal, Barcelona Institute for Global Health, Barcelona, Spain
- Department of Experimental and Health Sciences, Pompeu Fabra University, Barcelona, Spain
- Center for Biomedical Research in the Network of Epidemiology and Public Health, Madrid, Spain
| | - Damaskini Valvi
- ISGlobal, Barcelona Institute for Global Health, Barcelona, Spain
- Department of Experimental and Health Sciences, Pompeu Fabra University, Barcelona, Spain
- Center for Biomedical Research in the Network of Epidemiology and Public Health, Madrid, Spain
- Department of Environmental Health, T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, USA
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17
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Cabré A, Vrijheid M, Cardis E, Torrent M, Guxens M. Use of wireless communication devices and sleep quality and sleep problems in adolescents. Sleep Med 2017. [DOI: 10.1016/j.sleep.2017.11.123] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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18
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Dadvand P, Tischer C, Estarlich M, Llop S, Dalmau-Bueno A, López-Vicente M, Valentín A, de Keijzer C, Fernández-Somoano A, Lertxundi N, Rodriguez-Dehli C, Gascon M, Guxens M, Zugna D, Basagaña X, Nieuwenhuijsen MJ, Ibarluzea J, Ballester F, Sunyer J. Lifelong Residential Exposure to Green Space and Attention: A Population-based Prospective Study. Environ Health Perspect 2017; 125:097016. [PMID: 28934095 PMCID: PMC5915181 DOI: 10.1289/ehp694] [Citation(s) in RCA: 72] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/23/2016] [Revised: 07/20/2017] [Accepted: 07/21/2017] [Indexed: 05/10/2023]
Abstract
BACKGROUND Natural environments, including green spaces, may have beneficial impacts on brain development. However, longitudinal evidence of an association between long-term exposure to green spaces and cognitive development (including attention) in children is limited. OBJECTIVES We evaluated the association between lifelong residential exposure to green space and attention during preschool and early primary school years. METHODS This longitudinal study was based on data from two well-established population-based birth cohorts in Spain. We assessed lifelong exposure to residential surrounding greenness and tree cover as the average of satellite-based normalized difference vegetation index and vegetation continuous fields, respectively, surrounding the child's residential addresses at birth, 4-5 y, and 7 y. Attention was characterized using two computer-based tests: Conners' Kiddie Continuous Performance Test (K-CPT) at 4-5 y (n=888) and Attentional Network Task (ANT) at 7 y (n=987). We used adjusted mixed effects models with cohort random effects to estimate associations between exposure to greenness and attention at ages 4-5 and 7 y. RESULTS Higher lifelong residential surrounding greenness was associated with fewer K-CPT omission errors and lower K-CPT hit reaction time-standard error (HRT-SE) at 4-5 y and lower ANT HRT-SE at 7 y, consistent with better attention. This exposure was not associated with K-CPT commission errors or with ANT omission or commission errors. Associations with residential surrounding tree cover also were close to the null, or were negative (for ANT HRT-SE) but not statistically significant. CONCLUSION Exposure to residential surrounding greenness was associated with better scores on tests of attention at 4-5 y and 7 y of age in our longitudinal cohort. https://doi.org/10.1289/EHP694.
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Affiliation(s)
- Payam Dadvand
- ISGlobal, CREAL (Centre for Research in Environmental Epidemiology) , Barcelona, Spain
- Universitat Pompeu Fabra , Barcelona, Spain
- CIBERESP (Centro de Investigación Biomédica en Red Epidemiología y Salud Pública) , Madrid, Spain
| | - Christina Tischer
- ISGlobal, CREAL (Centre for Research in Environmental Epidemiology) , Barcelona, Spain
- Universitat Pompeu Fabra , Barcelona, Spain
- CIBERESP (Centro de Investigación Biomédica en Red Epidemiología y Salud Pública) , Madrid, Spain
| | - Marisa Estarlich
- CIBERESP (Centro de Investigación Biomédica en Red Epidemiología y Salud Pública) , Madrid, Spain
- Epidemiology and Environmental Health Joint Research Unit, FISABIO (La Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana)-Universitat Jaume I-Universitat de València , Valencia, Spain
| | - Sabrina Llop
- CIBERESP (Centro de Investigación Biomédica en Red Epidemiología y Salud Pública) , Madrid, Spain
- Epidemiology and Environmental Health Joint Research Unit, FISABIO (La Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana)-Universitat Jaume I-Universitat de València , Valencia, Spain
| | - Albert Dalmau-Bueno
- ISGlobal, CREAL (Centre for Research in Environmental Epidemiology) , Barcelona, Spain
- Universitat Pompeu Fabra , Barcelona, Spain
- CIBERESP (Centro de Investigación Biomédica en Red Epidemiología y Salud Pública) , Madrid, Spain
- Agency for Health Quality and Assessment of Catalonia (AQuAS), Catalonia Ministry of Health , Spain
| | - Monica López-Vicente
- ISGlobal, CREAL (Centre for Research in Environmental Epidemiology) , Barcelona, Spain
- Universitat Pompeu Fabra , Barcelona, Spain
- CIBERESP (Centro de Investigación Biomédica en Red Epidemiología y Salud Pública) , Madrid, Spain
| | - Antònia Valentín
- ISGlobal, CREAL (Centre for Research in Environmental Epidemiology) , Barcelona, Spain
- Universitat Pompeu Fabra , Barcelona, Spain
- CIBERESP (Centro de Investigación Biomédica en Red Epidemiología y Salud Pública) , Madrid, Spain
| | - Carmen de Keijzer
- ISGlobal, CREAL (Centre for Research in Environmental Epidemiology) , Barcelona, Spain
- Universitat Pompeu Fabra , Barcelona, Spain
- CIBERESP (Centro de Investigación Biomédica en Red Epidemiología y Salud Pública) , Madrid, Spain
| | - Ana Fernández-Somoano
- CIBERESP (Centro de Investigación Biomédica en Red Epidemiología y Salud Pública) , Madrid, Spain
- Department of Medicine, University of Oviedo , Oviedo, Spain
| | - Nerea Lertxundi
- Faculty of Psychology, University of the Basque Country UPV/EHU , San Sebastián, Basque Country, Spain
- Biodonostia Health Research Institute , San Sebastian, Basque Country, Spain
| | | | - Mireia Gascon
- ISGlobal, CREAL (Centre for Research in Environmental Epidemiology) , Barcelona, Spain
- Universitat Pompeu Fabra , Barcelona, Spain
- CIBERESP (Centro de Investigación Biomédica en Red Epidemiología y Salud Pública) , Madrid, Spain
| | - Monica Guxens
- ISGlobal, CREAL (Centre for Research in Environmental Epidemiology) , Barcelona, Spain
- Universitat Pompeu Fabra , Barcelona, Spain
- CIBERESP (Centro de Investigación Biomédica en Red Epidemiología y Salud Pública) , Madrid, Spain
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Centre-Sophia Children's Hospital , Rotterdam, The Netherlands
| | - Daniela Zugna
- Cancer Epidemiology Unit-CeRMS (Il Centro di Ricerca in Medicina Sperimentale), Department of Medical Sciences, University of Turin and CPO-Piemonte , Turin, Italy
| | - Xavier Basagaña
- ISGlobal, CREAL (Centre for Research in Environmental Epidemiology) , Barcelona, Spain
- Universitat Pompeu Fabra , Barcelona, Spain
- CIBERESP (Centro de Investigación Biomédica en Red Epidemiología y Salud Pública) , Madrid, Spain
| | - Mark J Nieuwenhuijsen
- ISGlobal, CREAL (Centre for Research in Environmental Epidemiology) , Barcelona, Spain
- Universitat Pompeu Fabra , Barcelona, Spain
- CIBERESP (Centro de Investigación Biomédica en Red Epidemiología y Salud Pública) , Madrid, Spain
| | - Jesus Ibarluzea
- CIBERESP (Centro de Investigación Biomédica en Red Epidemiología y Salud Pública) , Madrid, Spain
- Faculty of Psychology, University of the Basque Country UPV/EHU , San Sebastián, Basque Country, Spain
- Biodonostia Health Research Institute , San Sebastian, Basque Country, Spain
- Sub-Directorate for Public Health of Guipúzcoa, Department of Health, Government of the Basque Country , San Sebastián, Basque Country, Spain
| | - Ferran Ballester
- CIBERESP (Centro de Investigación Biomédica en Red Epidemiología y Salud Pública) , Madrid, Spain
- Epidemiology and Environmental Health Joint Research Unit, FISABIO (La Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana)-Universitat Jaume I-Universitat de València , Valencia, Spain
| | - Jordi Sunyer
- ISGlobal, CREAL (Centre for Research in Environmental Epidemiology) , Barcelona, Spain
- Universitat Pompeu Fabra , Barcelona, Spain
- CIBERESP (Centro de Investigación Biomédica en Red Epidemiología y Salud Pública) , Madrid, Spain
- IMIM-Parc Salut Mar , Barcelona, Spain
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19
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Fernández-Barrés S, Romaguera D, Valvi D, Martínez D, Vioque J, Navarrete-Muñoz EM, Amiano P, Gonzalez-Palacios S, Guxens M, Pereda E, Riaño I, Tardón A, Iñiguez C, Arija V, Sunyer J, Vrijheid M. Mediterranean dietary pattern in pregnant women and offspring risk of overweight and abdominal obesity in early childhood: the INMA birth cohort study. Pediatr Obes 2016; 11:491-499. [PMID: 26763767 DOI: 10.1111/ijpo.12092] [Citation(s) in RCA: 66] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/05/2015] [Revised: 10/19/2015] [Accepted: 11/10/2015] [Indexed: 01/21/2023]
Abstract
BACKGROUND Animal models have suggested that maternal diet quality may reduce offspring obesity risk regardless of maternal body weight; however, evidence from human studies is scarce. OBJECTIVE The aim of this study was to evaluate associations between adherence to the Mediterranean diet (MD) during pregnancy and childhood overweight and abdominal obesity risk at 4 years of age. METHODS We analysed 1827 mother-child pairs from the Spanish 'Infancia y Medio Ambiente' cohort study, recruited between 2003 and 2008. Diet was assessed during pregnancy using a food frequency questionnaire and MD adherence by the relative Mediterranean diet score (rMED). Overweight (including obesity) was defined as an age-specific and sex-specific body mass index ≥85th percentile (World Health Organization referent), and abdominal obesity as a waist circumference (WC) >90th percentile. Multivariate adjusted linear and logistic regression models were used to evaluate associations between pregnancy rMED and offspring overweight and abdominal obesity. RESULT There was no association between rMED and body mass index z-score, whereas there was a significant association between higher adherence to MD and lower WC (β of high vs. low rMED: -0.62 cm; 95% confidence interval: -1.10, -0.14 cm, P for trend = 0.009). CONCLUSION Pregnancy adherence to the MD was not associated with childhood overweight risk, but it was associated with lower WC, a marker of abdominal obesity.
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Affiliation(s)
- S Fernández-Barrés
- Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain.,Nutrition and Mental Health Group, Universitat Rovira I Virgili (URV), Reus, Spain
| | - D Romaguera
- Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain.,Instituto de Investigación Sanitaria de Palma (IdISPa), Hospital Universitari Son Espases, Palma de Mallorca, Spain.,CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Madrid, Spain
| | - D Valvi
- Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain.,CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,Universitat Pompeu Fabra (UPF), Barcelona, Spain.,Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - D Martínez
- Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain.,CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - J Vioque
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,Universidad Miguel Hernandez, Alicante, Spain
| | - E M Navarrete-Muñoz
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,Universidad Miguel Hernandez, Alicante, Spain
| | - P Amiano
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,Public Health Division of Gipuzkoa, BioDonostia Research Institute, San Sebastián, Spain
| | - S Gonzalez-Palacios
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,Universidad Miguel Hernandez, Alicante, Spain
| | - M Guxens
- Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain.,CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,Universitat Pompeu Fabra (UPF), Barcelona, Spain.,Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Centre-Sophia Children's Hospital, Rotterdam, The Netherlands
| | - E Pereda
- Facultad de Psicología, Universidad del País Vasco-Euskal Herriko Unibertsitatea (UPV-EHU), Bizkaia, Spain
| | - I Riaño
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,Hospital San Agustín, SESPA, Asturias, Spain
| | - A Tardón
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,Universidad de Oviedo, Asturias, Spain
| | - C Iñiguez
- FISABIO - Universitat Jaume I - Universitat de València Epidemiology and Environmental Health Joint Research Unit, Valencia, Spain
| | - V Arija
- Nutrition and Mental Health Group, Universitat Rovira I Virgili (URV), Reus, Spain
| | - J Sunyer
- Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain.,CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,Universitat Pompeu Fabra (UPF), Barcelona, Spain.,Institut Hospital del Mar d'Investigacions Mèdiques-Parc de Salut Mar, Barcelona, Spain
| | - M Vrijheid
- Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain.,CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,Universitat Pompeu Fabra (UPF), Barcelona, Spain.,Institut Hospital del Mar d'Investigacions Mèdiques-Parc de Salut Mar, Barcelona, Spain
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20
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Marinelli M, Pappa I, Bustamante M, Bonilla C, Suarez A, Tiesler CM, Vilor-Tejedor N, Zafarmand MH, Alvarez-Pedrerol M, Andersson S, Bakermans-Kranenburg MJ, Estivill X, Evans DM, Flexeder C, Forns J, Gonzalez JR, Guxens M, Huss A, van IJzendoorn MH, Jaddoe VW, Julvez J, Lahti J, López-Vicente M, Lopez-Espinosa MJ, Manz J, Mileva-Seitz VR, Perola M, Pesonen AK, Rivadeneira F, Salo PP, Shahand S, Schulz H, Standl M, Thiering E, Timpson NJ, Torrent M, Uitterlinden AG, Smith GD, Estarlich M, Heinrich J, Räikkönen K, Vrijkotte TG, Tiemeier H, Sunyer J. Heritability and Genome-Wide Association Analyses of Sleep Duration in Children: The EAGLE Consortium. Sleep 2016; 39:1859-1869. [PMID: 27568811 PMCID: PMC5020368 DOI: 10.5665/sleep.6170] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2015] [Accepted: 06/09/2016] [Indexed: 01/20/2023] Open
Abstract
STUDY OBJECTIVES Low or excessive sleep duration has been associated with multiple outcomes, but the biology behind these associations remains elusive. Specifically, genetic studies in children are scarce. In this study, we aimed to: (1) estimate the proportion of genetic variance of sleep duration in children attributed to common single nucleotide polymorphisms (SNPs), (2) identify novel SNPs associated with sleep duration in children, and (3) investigate the genetic overlap of sleep duration in children and related metabolic and psychiatric traits. METHODS We performed a population-based molecular genetic study, using data form the EArly Genetics and Life course Epidemiology (EAGLE) Consortium. 10,554 children of European ancestry were included in the discovery, and 1,250 children in the replication phase. RESULTS We found evidence of significant but modest SNP heritability of sleep duration in children (SNP h2 0.14, 95% CI [0.05, 0.23]) using the LD score regression method. A novel region at chromosome 11q13.4 (top SNP: rs74506765, P = 2.27e-08) was associated with sleep duration in children, but this was not replicated in independent studies. Nominally significant genetic overlap was only found (rG = 0.23, P = 0.05) between sleep duration in children and type 2 diabetes in adults, supporting the hypothesis of a common pathogenic mechanism. CONCLUSIONS The significant SNP heritability of sleep duration in children and the suggestive genetic overlap with type 2 diabetes support the search for genetic mechanisms linking sleep duration in children to multiple outcomes in health and disease.
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Affiliation(s)
- Marcella Marinelli
- Agency for Healthcare Quality and Evaluation of Catalonia (AQuAS), Roc Boronat, Barcelona, Spain
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Madrid, Spain
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
| | - Irene Pappa
- School of Pedagogical and Educational Sciences, Erasmus University Rotterdam, The Netherlands
- Generation R Study Group, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Mariona Bustamante
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Madrid, Spain
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Centre for Genomic Regulation (CRG), the Barcelona Institute of Science and Technology, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Carolina Bonilla
- School of Social and Community Medicine, University of Bristol, Bristol, UK
- MRC/University of Bristol Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Anna Suarez
- Institute of behavioural sciences, University of Helsinki, Helsinki, Finland
| | - Carla M. Tiesler
- Institute of Epidemiology I, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
- Ludwig-Maximilians-University of Munich, Dr. von Hauner Children's Hospital, Division of Metabolic Diseases and Nutritional Medicine, Munich, Germany
| | - Natalia Vilor-Tejedor
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Madrid, Spain
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Mohammad Hadi Zafarmand
- Department of Public Health, Academic Medical Center (AMC), University of Amsterdam, The Netherlands
- Department of Obstetrics and Gynaecology, Academic Medical Centre, University of Amsterdam, The Netherlands
| | - Mar Alvarez-Pedrerol
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Madrid, Spain
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Sture Andersson
- Children's Hospital, University of Helsinki, and Helsinki University Hospital, Helsinki, Finland
| | | | - Xavier Estivill
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Centre for Genomic Regulation (CRG), the Barcelona Institute of Science and Technology, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Institut Hospital del Mar d'Investigacions Mediques (IMIM), 08003 Barcelona, Spain
| | - David M. Evans
- School of Social and Community Medicine, University of Bristol, Bristol, UK
- MRC/University of Bristol Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- University of Queensland Diamantina Institute, Translational Research Institute, Brisbane, Queensland, Australia
| | - Claudia Flexeder
- Institute of Epidemiology I, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Joan Forns
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Juan R. Gonzalez
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Madrid, Spain
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Monica Guxens
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Madrid, Spain
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus Medical Center-Sophia Children's Hospital, Rotterdam, the Netherlands
| | - Anke Huss
- Institute for Risk Assessment Sciences, Utrecht University, the Netherlands
| | - Marinus H. van IJzendoorn
- School of Pedagogical and Educational Sciences, Erasmus University Rotterdam, The Netherlands
- Generation R Study Group, Erasmus Medical Center, Rotterdam, The Netherlands
- Centre for Child and Family Studies, Leiden University, Leiden, The Netherlands
| | - Vincent W.V. Jaddoe
- Generation R Study Group, Erasmus Medical Center, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus Medical Center-Sophia Children's Hospital, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus Medical Center- Sophia Children's Hospital, Rotterdam, The Netherlands
| | - Jordi Julvez
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Madrid, Spain
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Jari Lahti
- Institute of behavioural sciences, University of Helsinki, Helsinki, Finland
- Helsinki Collegium for Advanced Studies, Helsinki, Finland
- Folkhälsan Research Centre, Finland
| | - Mónica López-Vicente
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Madrid, Spain
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Maria-Jose Lopez-Espinosa
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Epidemiology and Environmental Health Joint Research Unit, FISABIO, Universitat Jaume I, Universitat de València, Spain
| | - Judith Manz
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | | | - Markus Perola
- Public Health Genomics Unit and Institute for Molecular Medicine FIMM, University of Helsinki, Finland
- National Institute for Health and Welfare, Helsinki, Finland
| | | | - Fernando Rivadeneira
- Generation R Study Group, Erasmus Medical Center, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus Medical Center-Sophia Children's Hospital, Rotterdam, The Netherlands
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Perttu P. Salo
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
- Genomics and Biomarkers Unit, National Institute for Health and Welfare, Helsinki, Finland
| | - Shayan Shahand
- Department of Clinical Epidemiology Biostatistics and Bioinformatics, Academic Medical Center (AMC), University of Amsterdam, The Netherlands
| | - Holger Schulz
- Institute of Epidemiology I, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Marie Standl
- Institute of Epidemiology I, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Elisabeth Thiering
- Institute of Epidemiology I, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
- Ludwig-Maximilians-University of Munich, Dr. von Hauner Children's Hospital, Division of Metabolic Diseases and Nutritional Medicine, Munich, Germany
| | - Nicholas J. Timpson
- School of Social and Community Medicine, University of Bristol, Bristol, UK
- MRC/University of Bristol Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | | | - André G. Uitterlinden
- Department of Epidemiology, Erasmus Medical Center-Sophia Children's Hospital, Rotterdam, The Netherlands
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
- Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA), Leiden, The Netherlands
| | - George Davey Smith
- School of Social and Community Medicine, University of Bristol, Bristol, UK
- MRC/University of Bristol Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Marisa Estarlich
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Epidemiology and Environmental Health Joint Research Unit, FISABIO, Universitat Jaume I, Universitat de València, Spain
| | - Joachim Heinrich
- Institute of Epidemiology I, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Katri Räikkönen
- Institute of behavioural sciences, University of Helsinki, Helsinki, Finland
| | - Tanja G.M. Vrijkotte
- Department of Public Health, Academic Medical Center (AMC), University of Amsterdam, The Netherlands
| | - Henning Tiemeier
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus Medical Center-Sophia Children's Hospital, Rotterdam, the Netherlands
- Department of Epidemiology, Erasmus Medical Center-Sophia Children's Hospital, Rotterdam, The Netherlands
- Department of Psychiatry, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Jordi Sunyer
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Madrid, Spain
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Institut Hospital del Mar d'Investigacions Mediques (IMIM), 08003 Barcelona, Spain
- Address correspondence to: Jordi Sunyer, PhD,
ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Doctor Aiguader, 88, E-08003 Barcelona, Spain+34 93 214 73 00+ 34 93 214 73 02
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21
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Julvez J, Méndez M, Fernandez-Barres S, Romaguera D, Vioque J, Llop S, Ibarluzea J, Guxens M, Avella-Garcia C, Tardón A, Riaño I, Andiarena A, Robinson O, Arija V, Esnaola M, Ballester F, Sunyer J. Maternal Consumption of Seafood in Pregnancy and Child Neuropsychological Development: A Longitudinal Study Based on a Population With High Consumption Levels. Am J Epidemiol 2016; 183:169-82. [PMID: 26740026 DOI: 10.1093/aje/kwv195] [Citation(s) in RCA: 77] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2015] [Accepted: 07/14/2015] [Indexed: 12/25/2022] Open
Abstract
Seafood consumption during pregnancy is thought to be beneficial for child neuropsychological development, but to our knowledge no large cohort studies with high fatty fish consumption have analyzed the association by seafood subtype. We evaluated 1,892 and 1,589 mother-child pairs at the ages of 14 months and 5 years, respectively, in a population-based Spanish birth cohort established during 2004-2008. Bayley and McCarthy scales and the Childhood Asperger Syndrome Test were used to assess neuropsychological development. Results from multivariate linear regression models were adjusted for sociodemographic characteristics and further adjusted for umbilical cord blood mercury or long-chain polyunsaturated fatty acid concentrations. Overall, consumption of seafood above the recommended limit of 340 g/week was associated with 10-g/week increments in neuropsychological scores. By subtype, in addition to lean fish, consumption of large fatty fish showed a positive association; offspring of persons within the highest quantile (>238 g/week) had an adjusted increase of 2.29 points in McCarthy general cognitive score (95% confidence interval: 0.42, 4.16). Similar findings were observed for the Childhood Asperger Syndrome Test. Beta coefficients diminished 15%-30% after adjustment for mercury or long-chain polyunsaturated fatty acid concentrations. Consumption of large fatty fish during pregnancy presents moderate child neuropsychological benefits, including improvements in cognitive functioning and some protection from autism-spectrum traits.
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22
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Huss A, van Eijsden M, Guxens M, Beekhuizen J, van Strien R, Kromhout H, Vrijkotte T, Vermeulen R. Environmental Radiofrequency Electromagnetic Fields Exposure at Home, Mobile and Cordless Phone Use, and Sleep Problems in 7-Year-Old Children. PLoS One 2015; 10:e0139869. [PMID: 26509676 PMCID: PMC4625083 DOI: 10.1371/journal.pone.0139869] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2015] [Accepted: 09/16/2015] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND We evaluated if exposure to RF-EMF was associated with reported quality of sleep in 2,361 children, aged 7 years. METHODS This study was embedded in the Amsterdam Born Children and their Development (ABCD) birth cohort study. When children were about five years old, school and residential exposure to RF-EMF from base stations was assessed with a geospatial model (NISMap) and from indoor sources (cordless phone/WiFi) using parental self-reports. Parents also reported their children's use of mobile or cordless phones. When children were seven years old, we evaluated sleep quality as measured with the Child Sleep Habits Questionnaire (CSHQ) filled in by parents. Of eight CSHQ subscales, we evaluated sleep onset delay, sleep duration, night wakenings, parasomnias and daytime sleepiness with logistic or negative binomial regression models, adjusting for child's age and sex and indicators of socio-economic position of the parents. We evaluated the remaining three subscales (bedtime resistance, sleep anxiety, sleep disordered breathing) as unrelated outcomes (negative control) because these were a priori hypothesised not to be associated with RF-EMF. RESULTS Sleep onset delay, night wakenings, parasomnias and daytime sleepiness were not associated with residential exposure to RF-EMF from base stations. Sleep duration scores were associated with RF-EMF levels from base stations. Higher use mobile phones was associated with less favourable sleep duration, night wakenings and parasomnias, and also with bedtime resistance. Cordless phone use was not related to any of the sleeping scores. CONCLUSION Given the different results across the evaluated RF-EMF exposure sources and the observed association between mobile phone use and the negative control sleep scale, our study does not support the hypothesis that it is the exposure to RF-EMF that is detrimental to sleep quality in 7-year old children, but potentially other factors that are related to mobile phone usage.
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Affiliation(s)
- Anke Huss
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
- Institute for Social and Preventive Medicine, Bern, Switzerland
| | - Manon van Eijsden
- Department of Epidemiology, Documentation and Health Promotion, Public Health Service of Amsterdam (GGD), Amsterdam, The Netherlands
| | - Monica Guxens
- Center for Research in Environmental Epidemiology, Barcelona, Spain
| | - Johan Beekhuizen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - Rob van Strien
- Department of Environmental Health, Public Health Service of Amsterdam (GGD), Amsterdam, The Netherlands
| | - Hans Kromhout
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - Tania Vrijkotte
- Department of Public Health, Academic Medical Center, University of Amsterdam, Amsterdam, the Netherlands
| | - Roel Vermeulen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
- Julius Centre for Public Health Sciences and Primary Care, University Medical Centre, Utrecht, The Netherlands
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23
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Talibov M, Guxens M, Pukkala E, Huss A, Kromhout H, Slottje P, Martinsen JI, Kjaerheim K, Sparén P, Weiderpass E, Tryggvadottir L, Uuksulainen S, Vermeulen R. Occupational exposure to extremely low-frequency magnetic fields and electrical shocks and acute myeloid leukemia in four Nordic countries. Cancer Causes Control 2015; 26:1079-85. [PMID: 25971677 DOI: 10.1007/s10552-015-0600-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2015] [Accepted: 05/05/2015] [Indexed: 11/24/2022]
Abstract
OBJECTIVE We studied the association between occupational exposure to extremely low-frequency magnetic fields (ELF-MF) and electrical shocks and acute myeloid leukemia (AML) in the Nordic Occupational Cancer cohort (NOCCA). METHODS We included 5,409 adult AML cases diagnosed between 1961 and 2005 in Finland, Iceland, Norway, and Sweden and 27,045 controls matched by age, sex, and country. Lifetime occupational ELF-MF exposure and risk of electrical shocks were assigned to jobs reported in the censuses using job-exposure matrices. We estimated hazard ratios (HRs) and 95 % confidence intervals (95 % CIs) using conditional logistic regression adjusted for concurrent occupational exposures relevant for AML risk (e.g., benzene, ionizing radiation). We conducted sensitivity analyses with different assumptions to assess the robustness of our results. RESULTS Approximately 40 % of the subjects were ever occupationally exposed to low levels and 7 % to high levels of ELF-MF, whereas 18 % were ever at low risk and 15 % at high risk of electrical shocks. We did not observe an association between occupational exposure to neither ELF-MF nor electrical shocks and AML. The HR was 0.88 (95 % CI 0.77-1.01) for subjects with high levels of ELF-MF exposure and 0.94 (95 % CI 0.85-1.05) for subjects with high risk of electrical shocks as compared to those with background-level exposure. Results remained materially unchanged in sensitivity analyses with different assumptions. CONCLUSION Our results do not support an association between occupational ELF-MF or electric shock exposure and AML.
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Affiliation(s)
- Madar Talibov
- School of Health Sciences, University of Tampere, 33014, Tampere, Finland,
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Beekhuizen J, Vermeulen R, van Eijsden M, van Strien R, Bürgi A, Loomans E, Guxens M, Kromhout H, Huss A. Modelling indoor electromagnetic fields (EMF) from mobile phone base stations for epidemiological studies. Environ Int 2014; 67:22-26. [PMID: 24632329 DOI: 10.1016/j.envint.2014.02.008] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [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: 09/27/2013] [Revised: 02/25/2014] [Accepted: 02/25/2014] [Indexed: 06/03/2023]
Abstract
Radio frequency electromagnetic fields (RF-EMF) from mobile phone base stations can be reliably modelled for outdoor locations, using 3D radio wave propagation models that consider antenna characteristics and building geometry. For exposure assessment in epidemiological studies, however, it is especially important to determine indoor exposure levels as people spend most of their time indoors. We assessed the accuracy of indoor RF-EMF model predictions, and whether information on building characteristics could increase model accuracy. We performed 15-minute spot measurements in 263 rooms in 101 primary schools and 30 private homes in Amsterdam, the Netherlands. At each measurement location, we collected information on building characteristics that can affect indoor exposure to RF-EMF, namely glazing and wall and window frame materials. Next, we modelled RF-EMF at the measurement locations with the 3D radio wave propagation model NISMap. We compared model predictions with measured values to evaluate model performance, and explored if building characteristics modified the association between modelled and measured RF-EMF using a mixed effect model. We found a Spearman correlation of 0.73 between modelled and measured total downlink RF-EMF from base stations. The average modelled and measured RF-EMF were 0.053 and 0.041mW/m(2), respectively, and the precision (standard deviation of the differences between predicted and measured values) was 0.184mW/m(2). Incorporating information on building characteristics did not improve model predictions. Although there is exposure misclassification, we conclude that it is feasible to reliably rank indoor RF-EMF from mobile phone base stations for epidemiological studies.
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Affiliation(s)
- J Beekhuizen
- Institute for Risk Assessment Sciences (IRAS), Division Environmental Epidemiology, Utrecht University, Yalelaan 2, 3584 CM, Utrecht, The Netherlands
| | - R Vermeulen
- Institute for Risk Assessment Sciences (IRAS), Division Environmental Epidemiology, Utrecht University, Yalelaan 2, 3584 CM, Utrecht, The Netherlands
| | - M van Eijsden
- Department of Epidemiology and Health Promotion, Public Health Service of Amsterdam (GGD), 1018 WT, Amsterdam, The Netherlands
| | - R van Strien
- Department of Environmental Health, Public Health Service of Amsterdam (GGD), 1018 WT, Amsterdam, The Netherlands
| | - A Bürgi
- ARIAS umwelt.forschung.beratung, CH-3011, Bern, Switzerland
| | - E Loomans
- Department of Epidemiology and Health Promotion, Public Health Service of Amsterdam (GGD), 1018 WT, Amsterdam, The Netherlands
| | - M Guxens
- Institute for Risk Assessment Sciences (IRAS), Division Environmental Epidemiology, Utrecht University, Yalelaan 2, 3584 CM, Utrecht, The Netherlands
| | - H Kromhout
- Institute for Risk Assessment Sciences (IRAS), Division Environmental Epidemiology, Utrecht University, Yalelaan 2, 3584 CM, Utrecht, The Netherlands
| | - A Huss
- Institute for Risk Assessment Sciences (IRAS), Division Environmental Epidemiology, Utrecht University, Yalelaan 2, 3584 CM, Utrecht, The Netherlands.
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Julvez J, Guxens M, Carsin AE, Forns J, Mendez M, Turner MC, Sunyer J. A cohort study on full breastfeeding and child neuropsychological development: the role of maternal social, psychological, and nutritional factors. Dev Med Child Neurol 2014; 56:148-56. [PMID: 24116864 DOI: 10.1111/dmcn.12282] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/02/2013] [Indexed: 11/28/2022]
Abstract
AIM This study investigated whether duration of full breastfeeding is associated with child neuropsychological development and whether this association is explained by social, psychological, and nutritional factors within families. METHOD Participants in this study were a population-based birth cohort in the city of Sabadell (Catalonia, Spain). Females were recruited during the first trimester of pregnancy between July 2004 and July 2006. Information about parental characteristics and breastfeeding was obtained through questionnaires. Full breastfeeding was categorized as never, short term (≤4mo), long term (4-6mo), or very long term (>6mo). A trained psychologist assessed the neuropsychological development of children at 4 years of age (n=434) using the McCarthy Scales of Children's Abilities (MSCA). RESULTS Full breastfeeding showed an independent association with child general MSCA scores after adjusting for a range of social, psychological, and nutritional factors (>6mo, coefficient=7.4 [95% confidence interval=2.8-12.0], p=0.011). Maternal social class, education level, and IQ were also associated with child neuropsychological scores, but did not explain breastfeeding associations. Omega-3 (n3) fatty acid levels were not associated with child neuropsychological scores. INTERPRETATION Very long-term full breastfeeding was independently associated with neuropsychological functions of children at 4 years of age. Maternal indicators of intelligence, psychopathology, and colostrum n3 fatty acids did not explain this association.
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Affiliation(s)
- Jordi Julvez
- Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain; Hospital del Mar Research Institute (IMIM), Barcelona, Spain; CIBER Epidemiologia y Salud Pública (CIBERESP), Barcelona, Spain
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Morales E, García-Esteban R, Guxens M, Guerra S, Mendez M, Moltó-Puigmartí C, Lopez-Sabater MC, Sunyer J. Effects of prolonged breastfeeding and colostrum fatty acids on allergic manifestations and infections in infancy. Clin Exp Allergy 2012; 42:918-28. [DOI: 10.1111/j.1365-2222.2012.03969.x] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- E. Morales
- Center for Research in Environmental Epidemiology (CREAL); Barcelona Catalonia Spain
- Hospital del Mar Research Institute (IMIM); Barcelona Spain
- CIBER Epidemiología y Salud Pública; Barcelona Catalonia Spain
| | - R. García-Esteban
- Center for Research in Environmental Epidemiology (CREAL); Barcelona Catalonia Spain
- Hospital del Mar Research Institute (IMIM); Barcelona Spain
- CIBER Epidemiología y Salud Pública; Barcelona Catalonia Spain
| | - M. Guxens
- Center for Research in Environmental Epidemiology (CREAL); Barcelona Catalonia Spain
- Hospital del Mar Research Institute (IMIM); Barcelona Spain
- CIBER Epidemiología y Salud Pública; Barcelona Catalonia Spain
| | - S. Guerra
- Center for Research in Environmental Epidemiology (CREAL); Barcelona Catalonia Spain
- Hospital del Mar Research Institute (IMIM); Barcelona Spain
- CIBER Epidemiología y Salud Pública; Barcelona Catalonia Spain
- Arizona Respiratory Center; Tucson AZ USA
| | - M. Mendez
- Center for Research in Environmental Epidemiology (CREAL); Barcelona Catalonia Spain
- Hospital del Mar Research Institute (IMIM); Barcelona Spain
- CIBER Epidemiología y Salud Pública; Barcelona Catalonia Spain
| | - C. Moltó-Puigmartí
- CIBER Epidemiología y Salud Pública; Barcelona Catalonia Spain
- Department of Nutrition and Food Science; Faculty of Pharmacy; University of Barcelona; Barcelona Catalonia Spain
| | - M. C. Lopez-Sabater
- CIBER Epidemiología y Salud Pública; Barcelona Catalonia Spain
- Department of Nutrition and Food Science; Faculty of Pharmacy; University of Barcelona; Barcelona Catalonia Spain
| | - J. Sunyer
- Center for Research in Environmental Epidemiology (CREAL); Barcelona Catalonia Spain
- Hospital del Mar Research Institute (IMIM); Barcelona Spain
- CIBER Epidemiología y Salud Pública; Barcelona Catalonia Spain
- Department of Experimental and Health Sciences; Pompeu Fabra University; Barcelona Catalonia Spain
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Guxens M, Sunyer J. A review of epidemiological studies on neuropsychological effects of air pollution. Swiss Med Wkly 2012; 142:w13322. [DOI: 10.57187/smw.2012.13322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
The aim of the present review is to provide an update of the epidemiological evidence of the effects of air pollution on neuropsychological development and impairment, as well as of the evidence on individual susceptibility to these effects. Animal studies have shown deposition of ultrafine particles containing metals in olfactory bulb and frontal cortical and subcortical areas, and overexpression of inflammatory responses, white matter lesions and vascular pathology in these areas that could be the basis for functional and structural brain effects. Several observational studies in the general population have observed cognitive deficits and behavioural impairment in children and the elderly. These effects, however, are not conclusive given the limited number of studies, their small size and their methodological constraints.
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Ibarluzea J, Alvarez-Pedrerol M, Guxens M, Marina LS, Basterrechea M, Lertxundi A, Etxeandia A, Goñi F, Vioque J, Ballester F, Sunyer J. Sociodemographic, reproductive and dietary predictors of organochlorine compounds levels in pregnant women in Spain. Chemosphere 2011; 82:114-20. [PMID: 20965545 DOI: 10.1016/j.chemosphere.2010.09.051] [Citation(s) in RCA: 40] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/06/2010] [Revised: 09/14/2010] [Accepted: 09/17/2010] [Indexed: 05/21/2023]
Abstract
Organochlorine pesticides and polychlorinated biphenyls (PCBs) are consistently found in human tissues. Serum levels of organochlorine compounds (OC) in pregnant women in particular have raised concern about possible harm to humans in the early phases of physical and behavioural development. The objective of the present study was to evaluate the association between concentration of OCs in serum of two cohorts of pregnant women from Gipuzkoa and Sabadell in Spain and socioeconomic, reproductive and dietary variables. Concentration of polychlorinated biphenyls (PCBs: 28, 52, 101, 118, 138, 153 and 180), hexachlorobenzene (HCB), beta and gamma-hexachlorocyclohexane (β-HCH and γ-HCH), heptachlor epoxide, dichlorodiphenyl dichloroethylene (p,p'-DDE) and dichlorodiphenyl trichloroethane (p,p'-DDT) were measured in the serum of 1259 pregnant women. Associations between OCs and potential predictor variables were assessed using linear regression models adjusted for potential confounders. The compounds most commonly found in the serum were p,p'-DDE (99% of the samples) and PCB-153 (95% of the samples). Geometric means of serum concentrations (ng g⁻¹ lipid) of organochlorine pesticides were 110.0, 19.1, and 33.5 for p,p'-DDE, β-HCH, and HCB respectively, while the geometric means of PCBs were 21.8, 38.9 and 26.9 for PCB 138, 153, and 180 respectively. The levels of all OCs increased with age. BMI was positively associated with the concentration of organochlorine pesticides but inversely related to PCB concentrations. The serum levels of OCs fell only after a cumulative period of breastfeeding of over a year. Levels of PCBs were related to fish intake, but in general dietary factors did not improve the explained variability of the concentrations of OCs. Overall, the levels of OCs found in the study are at the lower end of the range reported in Spain and other countries.
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Affiliation(s)
- J Ibarluzea
- Department of Health of the Basque Government, San Sebastian, Spain.
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Vrijheid M, Martinez D, Aguilera I, Ballester F, Basterrechea M, Esplugues A, Guxens M, Larrañaga M, Lertxundi A, Mendez M, Murcia M, Marina LS, Villanueva CM, Sunyer J. Socioeconomic status and exposure to multiple environmental pollutants during pregnancy: evidence for environmental inequity? J Epidemiol Community Health 2010; 66:106-13. [PMID: 20974841 DOI: 10.1136/jech.2010.117408] [Citation(s) in RCA: 51] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
BACKGROUND Inequities in the distribution of environmental exposures may add an extra burden to socially disadvantaged populations, especially when acting during vulnerable periods such as pregnancy and early life, but such inequities may be more complex and uncertain than is generally assumed. We therefore examine whether socioeconomic inequities exist in pregnancy exposures to multiple common environmental contaminants in air, water and food. METHODS A Spanish population-based birth cohort study enrolled over 2000 pregnant women between 2004 and 2008. Questionnaires assessed parental education, occupation, country of birth, diet and many other factors. Environmental pollutant assessments included nitrogen dioxide as a marker of traffic-related air pollution, trihalomethanes as a marker of tap water disinfection by-products, organochlorine biomarkers measured in maternal serum during pregnancy (polychlorinated biphenyls (PCB), dichlorodiphenyl dichloroethylene (p,p'-DDE), hexachlorobenzene and β-hexachlorocyclohexane) and mercury concentrations measured in cord blood. RESULTS Associations between socioeconomic status indicators and nitrogen dioxide and trihalomethanes were generally weak and inconsistent in direction. Concentrations of PCB, hexachlorobenzene and mercury were higher in higher social classes than lower social classes. p,p'-DDE and β-hexachlorocyclohexane were not related to social class. Social class explained between 1% and 5% of the variability in pollutant concentrations, much less than other variables such as region of residence, country of birth and maternal age. DISCUSSION This study demonstrates that the general assumption that more disadvantaged populations have higher levels of exposure to environmental pollution does not always hold and requires further elucidation in different international settings.
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Affiliation(s)
- Martine Vrijheid
- CREAL - Centre for Research in Environmental Epidemiology, Barcelona Biomedical Research Park (PRBB) (Room 187.02), Doctor Aiguader, 88; 08003 Barcelona, Spain.
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Verner M, Guxens M, Sunyer J, Grimalt J, Mcdougall R, Charbonneau M, Haddad S. Estimation of postnatal internal exposure to organochlorine compounds in the INMA-Sabadell birth cohort (Spain). Toxicol Lett 2010. [DOI: 10.1016/j.toxlet.2010.03.194] [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: 10/19/2022]
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Murcia M, Rebagliato M, Espada M, Vioque J, Santa Marina L, Alvarez-Pedrerol M, Lopez-Espinosa MJ, Leon G, Iniguez C, Basterrechea M, Guxens M, Lertxundi A, Perales A, Ballester F, Sunyer J. Iodine intake in a population of pregnant women: INMA mother and child cohort study, Spain. J Epidemiol Community Health 2009; 64:1094-9. [DOI: 10.1136/jech.2009.092593] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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Alvarez-Pedrerol M, Guxens M, Ibarluzea J, Rebagliato M, Rodriguez A, Espada M, Goñi F, Basterrechea M, Sunyer J. Organochlorine compounds, iodine intake, and thyroid hormone levels during pregnancy. Environ Sci Technol 2009; 43:7909-7915. [PMID: 19921913 DOI: 10.1021/es9007273] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/28/2023]
Abstract
The effect of organochlorine compounds (OCs) on thyroid function, as well as the potential confounding effect of iodine intake, was studied in a large sample of pregnant women from two population-based cohort studies in Sabadell (n = 520) and Gipuzkoa (n = 570), Spain. Thyroid hormones (free T4 and total T3), thyrotropin, and polychlorinated biphenyls (PCB congeners 118, 138, 153, and 180), hexachlorobenzene (HCB), beta-hexachlorocyclohexane (beta-HCH), dichlorodiphenyl dichloroethylene (p'p'-DDE) and dichlorodiphenyl richloroethane (p'p-DDT) were measured in serum samples collected at first trimester of pregnancy. Urinary iodine concentration (UIC) was measured and iodine intake from diet, iodized salt, and supplements were estimated from a food frequency questionnaire. Levels of HCB and PCBs congeners 180, 153, and 138 were related to lowe rtotal T3 levels (adjusted coefficient (SE): -4.0(1.1), -6.1(1.6), -5.5(1.6), and 3.8(1.4), respectively) and higher free T4 levels (adjusted coefficient (SE): 0.013(0.05), 0.017(0.007), 0.016(0.007), and 0.007(0.006), respectively). These associations were homogeneous in both cohorts, especially for PCBs and total T3 (p-value forthe interaction between cohorts >0.8). Iodine intake and UIC did not affect the association between OCs and thyroid hormones. Our results indicate that exposure to OCs during pregnancy can alter TH levels.
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Abstract
BACKGROUND Mental health has been reported to be associated with allergy, but only a few cohort studies have assessed if neurodevelopment predicts atopy. OBJECTIVE To investigate if neurobehavioral status of healthy 4-year-old children was associated with specific immunoglobulin E (IgE) at the same age and skin prick test results 2 years later. METHODS A population-based birth cohort enrolled 482 children, 422 of them (87%) provided neurobehavioral data, 341 (71%) had specific IgE measured at the age of 4 years; and 395 (82%) had skin prick tests completed at the age of 6 years. Atopy was defined as IgE levels higher than 0.35 kU/l to any of the three tested allergens at the age of 4 or as a positive skin prick test to any of the six tested allergens at the age of 6. McCarthy Scales of Child Abilities and California Preschool Social Competence Scale were the psychometric instruments used. RESULTS Twelve percent of children at the age of 4 and 17% at the age of 6 were atopic. Neurobehavioral scores were negatively associated with 6-year-old atopy after adjustment for socio-demographic and allergic factors, A relative risk of 3.06 (95% CI: 1.30-7.24) was associated with the lowest tertile (scorings < or =90 points) of the general cognitive scale. Similar results were found for verbal abilities, executive functions, and social competence. Asthma, wheezing, rhinitis, and eczema at the age of 6, but not at the age of 4, were associated with neurodevelopment at the age of 4. CONCLUSIONS Neuropsychologic functioning and later atopy are negatively associated in preschool age children.
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Affiliation(s)
- J Julvez
- Centre for Research in Environmental Epidemiology, Barcelona, Spain
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Alvarez-Pedrerol M, Guxens M, Mendez M, Canet Y, Martorell R, Espada M, Plana E, Rebagliato M, Sunyer J. Iodine levels and thyroid hormones in healthy pregnant women and birth weight of their offspring. Eur J Endocrinol 2009; 160:423-9. [PMID: 19114540 DOI: 10.1530/eje-08-0716] [Citation(s) in RCA: 74] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
INTRODUCTION The fetus is most vulnerable to severe iodine deficiency and hypothyroidism during pregnancy. The effects of mild iodine deficiency and subclinical hypothyroidism are poorly known. The present study assesses the association between thyroid hormones (TH)s and urinary iodine concentration (UIC) in healthy pregnant women and the birth weight of their children. METHODS About 657 pregnant women were recruited in Sabadell and followed until delivery. The association between THs during the first trimester, UIC during the first and third trimesters, and birth weight was studied in 557, 251, and 528 mother-newborn pairs respectively, using linear and logistic regression models adjusted for potential confounders. Only 239 women had all the data available (thyroid function and UIC at the first and third trimesters). Six percent of newborns were classified as small for gestational age (SGA). RESULTS The median UIC was 95 and 104 microg/l during the first and third trimesters respectively. Women with the third trimester UICs between 100 and 149 microg/l had lower risk of having an SGA newborn than women with UICs below 50 microg/l (adjusted OR (95%CI): 0.15 (0.03-0.76). There was no significant reduction in SGA among mothers with higher UICs. Lower free thyroxine and higher TSH levels during the first trimester were not associated with birth weight or SGA. Nevertheless, the analyses were repeated including only those women with all the data available, and high TSH levels became statistically significantly associated with lower birth weight and higher risk of SGA. CONCLUSIONS The present study suggests that iodine status during pregnancy may be related to prenatal growth in healthy women.
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Affiliation(s)
- M Alvarez-Pedrerol
- Centre for Research in Environmental Epidemiology-IMIM, Barcelona, Spain.
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Grau M, Guxens M, Subirana I, Fito M, Covas MI, Jacquemin B, Sunyer J, Lanki T, Picciotto S, Bellander T, Katsouyanni K, Schneider A, Peters A, Marrugat J. South-to-North gradient in lipid peroxidation in men with stable coronary artery disease in Europe. Eur Heart J 2007; 28:2841-9. [DOI: 10.1093/eurheartj/ehm446] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
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Schröder H, Morales-Molina JA, Bermejo S, Barral D, Mándoli ES, Grau M, Guxens M, de Jaime Gil E, Alvarez MD, Marrugat J. Relationship of abdominal obesity with alcohol consumption at population scale. Eur J Nutr 2007; 46:369-76. [PMID: 17885722 DOI: 10.1007/s00394-007-0674-7] [Citation(s) in RCA: 63] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2007] [Accepted: 07/19/2007] [Indexed: 11/28/2022]
Abstract
BACKGROUND The high energy content of alcohol makes its consumption a potential contributor to the obesity epidemic. AIM OF THE STUDY To determine whether alcohol consumption is a risk factor for abdominal obesity, taking into account energy underreporting. METHODS The subjects were Spanish men (n = 1491) and women (n = 1563) aged 25-74 years who were examined in 1999-2000, in a population-based cross-sectional survey in northeastern Spain (Girona). Dietary intake, including alcohol consumption, was assessed using a food frequency questionnaire. Anthropometric variables were measured. RESULTS The mean consumption of alcohol was 18.1 +/- 20.7 g/d in men and 5.3 +/- 10.4 g/d in women. 19.3% of men and 2.3% of women reported alcohol consumption of more than 3 drinks per day. The consumption of alcohol was directly associated with total energy intake in men (P < 0.001) and women (P = 0.001). The proportion of energy underreporting significantly (P < 0.001) decreased with higher amounts of alcohol drinking in both genders. Multiple logistic regression analysis, controlled for energy underreporting, smoking, educational level, leisure-time physical activity, energy, and diet quality, revealed that consuming more than 3 drinks of alcohol (>30 g ethanol) was significantly associated with the risk of abdominal obesity (Odds ratio 1.80; 1.05, 3.09) and exceeding recommended energy consumption (Odds ratio 1.97; 1.32, 2.93) in men. A very small number (2.13%) of women in this population reported high levels of alcohol consumption. CONCLUSIONS Alcohol consumption in elevated amounts was associated with risk of abdominal obesity in men, independent of energy underreporting.
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Affiliation(s)
- Helmut Schröder
- Lipids and Cardiovascular Epidemiology Research Unit, Institut Municipal d'Investigació Mèdica, IMIM, Hospital de Mar, Parc de Recerca Biomèdica de Barcelona, c/Doctor Aiguader 88, 08003, Barcelona, Spain.
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