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Barbalat G, Hough I, Dorman M, Lepeule J, Kloog I. A multi-resolution ensemble model of three decision-tree-based algorithms to predict daily NO 2 concentration in France 2005-2022. ENVIRONMENTAL RESEARCH 2024; 257:119241. [PMID: 38810827 DOI: 10.1016/j.envres.2024.119241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Revised: 05/13/2024] [Accepted: 05/26/2024] [Indexed: 05/31/2024]
Abstract
Understanding and managing the health effects of Nitrogen Dioxide (NO2) requires high resolution spatiotemporal exposure maps. Here, we developed a multi-stage multi-resolution ensemble model that predicts daily NO2 concentration across continental France from 2005 to 2022. Innovations of this work include the computation of daily predictions at a 200 m resolution in large urban areas and the use of a spatio-temporal blocking procedure to avoid data leakage and ensure fair performance estimation. Predictions were obtained after three cascading stages of modeling: (1) predicting NO2 total column density from Ozone Monitoring Instrument satellite; (2) predicting daily NO2 concentrations at a 1 km spatial resolution using a large set of potential predictors such as predictions obtained from stage 1, land-cover and road traffic data; and (3) predicting residuals from stage 2 models at a 200 m resolution in large urban areas. The latter two stages used a generalized additive model to ensemble predictions of three decision-tree algorithms (random forest, extreme gradient boosting and categorical boosting). Cross-validated performances of our ensemble models were overall very good, with a ten-fold cross-validated R2 for the 1 km model of 0.83, and of 0.69 for the 200 m model. All three basis learners participated in the ensemble predictions to various degrees depending on time and space. In sum, our multi-stage approach was able to predict daily NO2 concentrations with a relatively low error. Ensembling the predictions maximizes the chance of obtaining accurate values if one basis learner fails in a specific area or at a particular time, by relying on the other learners. To the best of our knowledge, this is the first study aiming to predict NO2 concentrations in France with such a high spatiotemporal resolution, large spatial extent, and long temporal coverage. Exposure estimates are available to investigate NO2 health effects in epidemiological studies.
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Affiliation(s)
- Guillaume Barbalat
- University Grenoble Alpes, Inserm, CNRS, Team of Environmental Epidemiology Applied to Development and Respiratory Health, Institute for Advanced Biosciences (IAB), Grenoble, France; Centre Ressource de Réhabilitation Psychosociale et de Remédiation Cognitive, Hôpital Le Vinatier, Pôle Centre Rive Gauche, UMR, 5229, CNRS & Université Claude Bernard Lyon 1, France.
| | - Ian Hough
- Université Grenoble Alpes, CNRS, INRAE, IRD, INP-G, IGE (UMR 5001), Grenoble, France
| | - Michael Dorman
- The Department of Environmental, Geoinformatics and Urban Planning Sciences, Ben-Gurion University of the Negev, Israel
| | - Johanna Lepeule
- University Grenoble Alpes, Inserm, CNRS, Team of Environmental Epidemiology Applied to Development and Respiratory Health, Institute for Advanced Biosciences (IAB), Grenoble, France.
| | - Itai Kloog
- The Department of Environmental, Geoinformatics and Urban Planning Sciences, Ben-Gurion University of the Negev, Israel; Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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Lin F, Wang L, Shi Y, Chen X, Lin Y, Zheng J, Chen K, Ye Q, Cai G. Association of Exposure to Ambient Air Pollutants With Cognitive Performance and Dementia Risk and the Mediating Role of Pulmonary Function: Evidence From the UK Biobank. J Gerontol A Biol Sci Med Sci 2024; 79:glae139. [PMID: 38784975 DOI: 10.1093/gerona/glae139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Indexed: 05/25/2024] Open
Abstract
BACKGROUND The pathways by which air pollution affects cognition remain to be explored. This study aimed to explore how single air pollutants [including nitrogen oxide (NOX), nitrogen dioxide (NO2), particulate matter with a diameter of 2.5 micrometers (PM2.5), PM10, and PM2.5-10], and air pollution mixture could affect cognitive function and the incidence of dementia, and determine whether pulmonary function (PF) could play a mediating role in the relationship. METHODS Multiple statistical methods were employed to evaluate association of 5 air pollutants (NOX, NO2, PM2.5, PM10, and PM2.5-10) with cognitive function. Bootstrap method was used to estimate mediating role of PF in the association of air pollutants with cognition or the incidence of dementia. RESULTS A mixture of air pollutants was associated with performance on 5 cognitive tests, and global cognition (p < .05). Significantly negative association was also identified between mixture of air pollutants and PF (β= -0.020, 95% confidence interval (CI) = -0.029 to -0.011). In addition, as PF scores increase, performance on all cognitive tests significantly improve, although the risk of dementia correspondingly decreases. It was noted that PF was shown to mediate the effects of air pollution mixtures on all cognitive tests as well as global cognition. For global cognition, PF mediated 6.08% of the association. PF was also found to have a mediating role in the association between NOX, NO2, PM2.5, and the risk of dementia. CONCLUSIONS Mixed air pollution may impact cognitive function, with PF potentially mediating this relationship.
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Affiliation(s)
- Fabin Lin
- Department of Neurology, Center for Cognitive Neurology, Institute of Clinical Neurology, Fujian Medical University Union Hospital, Fuzhou, China
- Department of Neurosurgery, Fujian Medical University Union Hospital, Fuzhou, China
| | - Lili Wang
- Department of Neurology, Shanghai Songjiang District Central Hospital, Shanghai, China
| | - Yisen Shi
- Department of Neurology, Center for Cognitive Neurology, Institute of Clinical Neurology, Fujian Medical University Union Hospital, Fuzhou, China
- Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, Fuzhou, China
| | - Xuanjie Chen
- Department of Neurology, Center for Cognitive Neurology, Institute of Clinical Neurology, Fujian Medical University Union Hospital, Fuzhou, China
- Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, Fuzhou, China
| | - Yixiang Lin
- Department of Neurology, Center for Cognitive Neurology, Institute of Clinical Neurology, Fujian Medical University Union Hospital, Fuzhou, China
- Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, Fuzhou, China
| | - Jiayi Zheng
- Department of Neurology, Center for Cognitive Neurology, Institute of Clinical Neurology, Fujian Medical University Union Hospital, Fuzhou, China
- Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, Fuzhou, China
| | - Ke Chen
- Department of Neurology, Center for Cognitive Neurology, Institute of Clinical Neurology, Fujian Medical University Union Hospital, Fuzhou, China
- Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, Fuzhou, China
| | - Qinyong Ye
- Department of Neurology, Center for Cognitive Neurology, Institute of Clinical Neurology, Fujian Medical University Union Hospital, Fuzhou, China
- Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, Fuzhou, China
| | - Guoen Cai
- Department of Neurology, Center for Cognitive Neurology, Institute of Clinical Neurology, Fujian Medical University Union Hospital, Fuzhou, China
- Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, Fuzhou, China
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Broséus L, Guilbert A, Hough I, Kloog I, Chauvaud A, Seyve E, Vaiman D, Heude B, Chevrier C, Tost J, Slama R, Lepeule J. Placental DNA methylation signatures of prenatal air pollution exposure and potential effects on birth outcomes: an analysis of three prospective cohorts. Lancet Planet Health 2024; 8:e297-e308. [PMID: 38723642 DOI: 10.1016/s2542-5196(24)00045-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 02/16/2024] [Accepted: 03/20/2024] [Indexed: 05/12/2024]
Abstract
BACKGROUND Pregnancy air pollution exposure (PAPE) has been linked to a wide range of adverse birth and childhood outcomes, but there is a paucity of data on its influence on the placental epigenome, which can regulate the programming of physiological functions and affect child development. This study aimed to investigate the association between prenatal air pollutant exposure concentrations and changes in placental DNA methylation patterns, and to explore the potential windows of susceptibility and sex-specific alterations. METHODS This multi-site study used three prospective population-based mother-child cohorts: EDEN, PELAGIE, and SEPAGES, originating from four French geographical regions (Nancy, Poitiers, Brittany, and Grenoble). Pregnant women were included between 2003 and 2006 for EDEN and PELAGIE, and between 2014 and 2017 for SEPAGES. The main eligibility criteria were: being older than 18 years, having a singleton pregnancy, and living and planning to deliver in one of the maternity clinics in one of the study areas. A total of 1539 mother-child pairs were analysed, measuring placental DNA methylation using Illumina BeadChips. We used validated spatiotemporally resolved models to estimate PM2·5, PM10, and NO2 exposure over each trimester of pregnancy at the maternal residential address. We conducted a pooled adjusted epigenome-wide association study to identify differentially methylated 5'-C-phosphate-G-3' (CpG) sites and regions (assessed using the Infinium HumanMethylationEPIC BeadChip array, n=871), including sex-specific and sex-linked alterations, and independently validated our results (assessed using the Infinium HumanMethylation450 BeadChip array, n=668). FINDINGS We identified four CpGs and 28 regions associated with PAPE in the total population, 469 CpGs and 87 regions in male infants, and 150 CpGs and 66 regions in female infants. We validated 35% of the CpGs available. More than 30% of the identified CpGs were related to one (or more) birth outcome and most significant alterations were enriched for neural development, immunity, and metabolism related genes. The 28 regions identified for both sexes overlapped with imprinted genes (four genes), and were associated with neurodevelopment (nine genes), immune system (seven genes), and metabolism (five genes). Most associations were observed for the third trimester for female infants (134 of 150 CpGs), and throughout pregnancy (281 of 469 CpGs) and the first trimester (237 of 469 CpGs) for male infants. INTERPRETATION These findings highlight the molecular pathways through which PAPE might affect child health in a widespread and sex-specific manner, identifying the genes involved in the major physiological functions of a developing child. Further studies are needed to elucidate whether these epigenetic changes persist and affect health later in life. FUNDING French Agency for National Research, Fondation pour la Recherche Médicale, Fondation de France, and the Plan Cancer.
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Affiliation(s)
- Lucile Broséus
- Université Grenoble Alpes, Inserm, CNRS, Team of Environmental Epidemiology applied to Development and Respiratory Health, IAB, Grenoble, France.
| | - Ariane Guilbert
- Université Grenoble Alpes, Inserm, CNRS, Team of Environmental Epidemiology applied to Development and Respiratory Health, IAB, Grenoble, France
| | - Ian Hough
- Université Grenoble Alpes, Inserm, CNRS, Team of Environmental Epidemiology applied to Development and Respiratory Health, IAB, Grenoble, France; Institute of Environmental Geosciences, Université Grenoble Alpes, Grenoble, France; Department of Geography and Environmental Development, Ben-Gurion University of the Negev, Be'er Sheva, Israel
| | - Itai Kloog
- Department of Geography and Environmental Development, Ben-Gurion University of the Negev, Be'er Sheva, Israel; Department of Environmental Medicine and Climate Science, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Anath Chauvaud
- Université Grenoble Alpes, Inserm, CNRS, Team of Environmental Epidemiology applied to Development and Respiratory Health, IAB, Grenoble, France
| | - Emie Seyve
- Université Grenoble Alpes, Inserm, CNRS, Team of Environmental Epidemiology applied to Development and Respiratory Health, IAB, Grenoble, France
| | - Daniel Vaiman
- Institut Cochin, U1016 Inserm, Unité Mixte de Recherche 8104, CNRS, Paris-Descartes University, Paris, France
| | - Barbara Heude
- Université Paris Cité et Université Sorbonne Paris Nord, Inserm, INRAE, Centre de Recherche en Épidémiologie et Statistiques, Paris, France
| | - Cécile Chevrier
- University of Rennes, Inserm, Ecole des Hautes Etudes en Santé Publique, Institut de Recherche en Santé, Environnement et Travail, Unité Mixte de Recherche 1085, Rennes, France
| | - Jörg Tost
- Laboratory for Epigenetics and Environment, Centre National de Recherche en Génomique Humaine, Commissariat à l'Energie Atomique et aux Energies Alternatives, Institut de Biologie François Jacob, University Paris Saclay, Evry, France
| | - Rémy Slama
- Université Grenoble Alpes, Inserm, CNRS, Team of Environmental Epidemiology applied to Development and Respiratory Health, IAB, Grenoble, France
| | - Johanna Lepeule
- Université Grenoble Alpes, Inserm, CNRS, Team of Environmental Epidemiology applied to Development and Respiratory Health, IAB, Grenoble, France.
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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] [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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Hsu HHL, Lane JM, Schnaas L, Coull BA, Osorio-Valencia E, Chiu YHM, Wilson A, Just AC, Kloog I, Bellinger D, Téllez-Rojo MM, Wright RO. Sensitive development windows of prenatal air pollution and cognitive functioning in preschool age Mexican children. Environ Epidemiol 2024; 8:e291. [PMID: 38343731 PMCID: PMC10852370 DOI: 10.1097/ee9.0000000000000291] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Accepted: 12/18/2023] [Indexed: 03/13/2024] Open
Abstract
Introduction Neurotoxicity resulting from air pollution is of increasing concern. Considering exposure timing effects on neurodevelopmental impairments may be as important as the exposure dose. We used distributed lag regression to determine the sensitive windows of prenatal exposure to fine particulate matter (PM2.5) on children's cognition in a birth cohort in Mexico. Methods Analysis included 553 full-term (≥37 weeks gestation) children. Prenatal daily PM2.5 exposure was estimated using a validated satellite-based spatiotemporal model. McCarthy Scales of Children's Abilities (MSCA) were used to assess children's cognitive function at 4-5 years old (lower scores indicate poorer performance). To identify susceptibility windows, we used Bayesian distributed lag interaction models to examine associations between prenatal PM2.5 levels and MSCA. This allowed us to estimate vulnerable windows while testing for effect modification. Results After adjusting for maternal age, socioeconomic status, child age, and sex, Bayesian distributed lag interaction models showed significant associations between increased PM2.5 levels and decreased general cognitive index scores at 31-35 gestation weeks, decreased quantitative scale scores at 30-36 weeks, decreased motor scale scores at 30-36 weeks, and decreased verbal scale scores at 37-38 weeks. Estimated cumulative effects (CE) of PM2.5 across pregnancy showed significant associations with general cognitive index (C E ^ = -0.35, 95% confidence interval [CI] = -0.68, -0.01), quantitative scale (C E ^ = -0.27, 95% CI = -0.74, -0.02), motor scale (C E ^ = -0.25, 95% CI = -0.44, -0.05), and verbal scale (C E ^ = -0.2, 95% CI = -0.43, -0.02). No significant sex interactions were observed. Conclusions Prenatal exposure to PM2.5, particularly late pregnancy, was inversely associated with subscales of MSCA. Using data-driven methods to identify sensitive window may provide insight into the mechanisms of neurodevelopmental impairment due to pollution.
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Affiliation(s)
- Hsiao-Hsien Leon Hsu
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York
- Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Jamil M. Lane
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York
| | | | - Brent A. Coull
- Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts
| | | | - Yueh-Hsiu Mathilda Chiu
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York
- Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Ander Wilson
- Department of Biostatistics, Colorado State University, Fort Collins, Colorado
| | - Allan C. Just
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York
- Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Itai Kloog
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York
- Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, New York
- Department of Geography and Environmental Development, Ben-Gurion University of the Negev, Israel
| | - David Bellinger
- Department of Neurology,Boston Children’s Hospital, Harvard Medical School, Boston, Massachusetts
- National Institute of Public Health, Cuernavaca, Mexico
| | | | - Robert O. Wright
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York
- Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, New York
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Christensen GM, Marcus M, Vanker A, Eick SM, Malcolm-Smith S, Smith ADAC, Dunn EC, Suglia SF, Chang HH, Zar HJ, Stein DJ, Hüls A. Sensitive periods for exposure to indoor air pollutants and psychosocial factors in association with symptoms of psychopathology at school-age in a South African birth cohort. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.08.08.23293825. [PMID: 37609236 PMCID: PMC10441486 DOI: 10.1101/2023.08.08.23293825] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/24/2023]
Abstract
Background Gestation and the first few months of life are important periods for brain development. During these periods, exposure to environmental toxicants and psychosocial stressors are particularly harmful and may impact brain development. Specifically, exposure to indoor air pollutants (IAP) and psychosocial factors (PF) during these sensitive periods has been shown to predict childhood psychopathology. Objectives This study aims to investigate sensitive periods for the individual and joint effects of IAP and PF on childhood psychopathology at 6.5 years. Methods We analyzed data from the Drakenstein Child Health Study (N=599), a South African birth cohort. Exposure to IAP and PF was measured during the second trimester of pregnancy and 4 months postpartum. The outcome of childhood psychopathology was assessed at 6.5 years old using the Childhood Behavior Checklist (CBCL). We investigated individual effects of either pre-or postnatal exposure to IAP and PF on CBCL scores using adjusted linear regression models, and joint effects of these exposures using quantile g-computation and self-organizing maps (SOM). To identify possible sensitive periods, we used a structured life course modeling approach (SLCMA) as well as exposure mixture methods (quantile g-computation and SOM). Results Prenatal exposure to IAP or PFs, as well as the total prenatal mixture assessed using quantile g-computation, were associated with increased psychopathology. SLCMA and SOM models also indicated that the prenatal period is a sensitive period for IAP exposure on childhood psychopathology. Depression and alcohol were associated in both the pre-and postnatal period, while CO was associated with the postnatal period. Discussion Pregnancy may be a sensitive period for the effect of indoor air pollution on childhood psychopathology. Exposure to maternal depression and alcohol in both periods was also associated with psychopathology. Determining sensitive periods of exposure is vital to ensure effective interventions to reduce childhood psychopathology.
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