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Hung TH, Hsu TY, Hsu J, Ou CY, Liu PH, Lo LM, Shaw SW, Wan GH. Influence of gestational hypertension and maternal air pollutant exposure on birth outcomes. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024; 31:42264-42276. [PMID: 38865044 DOI: 10.1007/s11356-024-33944-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Accepted: 06/04/2024] [Indexed: 06/13/2024]
Abstract
The relationship between exposure to air pollutants and fetal growth outcomes has shown inconsistency, and only a limited number of studies have explored the impact of air pollution on gestational hypertension and birth outcomes. This study aimed to evaluate how maternal exposure to air pollutants and blood pressure could influence fetal birth outcomes. A total of 55 women with gestational hypertension and 131 healthy pregnant women were enrolled in this study. Data pertaining to personal characteristics, prenatal examinations, outdoor air pollutant exposure, and fetal birth outcomes were collected. The study revealed that fetal birth weight and abdominal circumference exhibited a significant reduction among women with gestational hypertension compared to healthy pregnant women, even after adjustments for body mass index, gestational age, and exposure to air pollutants had been made. Moreover, maternal exposure to outdoor air pollutants displayed a notable correlation with decreased birth length of fetuses. Consequently, the study concluded that maternal blood pressure and exposure to outdoor air pollutants during pregnancy potentially stand as pivotal factors influencing fetal birth outcomes.
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Affiliation(s)
- Tai-Ho Hung
- Department of Obstetrics and Gynecology, Taipei Chang Gung Memorial Hospital, Taipei, Taiwan
- Department of Obstetrics and Gynecology, Keelung Chang Gung Memorial Hospital, Keelung, Taiwan
- Department of Medicine, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Te-Yao Hsu
- Department of Obstetrics and Gynecology, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan
| | - Jie Hsu
- Graduate Institute of Clinical Medical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Chia-Yu Ou
- Department of Obstetrics, Po-Jen Hospital, Kaohsiung, Taiwan
| | - Pi-Hua Liu
- Clinical Informatics and Medical Statistics Research Center, Chang Gung University, Taoyuan, Taiwan
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Liang-Ming Lo
- Department of Obstetrics and Gynecology, Taipei Chang Gung Memorial Hospital, Taipei, Taiwan
| | - Steven W Shaw
- Department of Obstetrics and Gynecology, Taipei Chang Gung Memorial Hospital, Taipei, Taiwan
- Department of Medicine, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Gwo-Hwa Wan
- Department of Obstetrics and Gynecology, Taipei Chang Gung Memorial Hospital, Taipei, Taiwan.
- Department of Respiratory Therapy, College of Medicine, Chang Gung University, 259, Wen-Hwa 1st Road, Kwei-Shan, Taoyuan, 333, Taiwan.
- Department of Respiratory Care, Chang Gung University of Science and Technology, Chiayi, Taiwan.
- Center for Environmental Sustainability and Human Health, Ming Chi University of Technology, Taishan, New Taipei, Taiwan.
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Wang W, Mu S, Yan W, Ke N, Cheng H, Ding R. Prenatal PM2.5 exposure increases the risk of adverse pregnancy outcomes: evidence from meta-analysis of cohort studies. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:106145-106197. [PMID: 37723397 DOI: 10.1007/s11356-023-29700-5] [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: 04/21/2023] [Accepted: 08/31/2023] [Indexed: 09/20/2023]
Abstract
Adverse pregnancy outcomes (APOs) are a significant cause of fetal death. A wide range of maternal psychological, social, and environmental factors may contribute to these outcomes. Mounting epidemiological studies have indicated that PM2.5 may result in these unfavorable consequences. Previously published meta-analyses have been updated and extended. Cohort studies were searched from three databases (up to July 24, 2023), and their quality was assessed by Newcastle-Ottawa Scale (NOS). Publication bias was examined by Egger's test and funnel plot. Despite a large number of studies showing similar results, the inconsistencies between these findings require careful generalization before concluding. This meta-analysis included 67 cohort studies from 20 countries, and the findings revealed that maternal PM2.5 exposure and five APOs were correlated significantly throughout pregnancy: preterm birth (PTB) (RR = 1.05; 95% CI: 1.03, 1.07); low birth weight (LBW) (RR = 1.02; 95% CI: 1.01, 1.04); small for gestational age (SGA) (RR = 1.03; 95% CI: 1.01, 1.04); stillbirth (RR = 1.24; 95% CI: 1.06, 1.45); and change in birthweight (weight change = -6.82 g; 95% CI: -11.39, -2.25). A positive association was found between APOs and PM2.5 exposure in this meta-analysis, and the degree of increased risk of APOs varied due to different gestation periods. Therefore, it is necessary to protect pregnant women at specific times.
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Affiliation(s)
- Wanrong Wang
- First School of Clinical Medicine, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
- Department of Respiratory and Critical Care Medicine, First Affiliated Hospital of Anhui Medical University, Hefei, 230022, Anhui Province, People's Republic of China
| | - Siqi Mu
- First School of Clinical Medicine, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Weizhen Yan
- First School of Clinical Medicine, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Naiyu Ke
- First School of Clinical Medicine, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Han Cheng
- First School of Clinical Medicine, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Rui Ding
- Department of Occupational Health and Environmental Health, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China.
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Ming X, He Z, Li Y, Hu Y, Yang Y, Chen H, Chen Q, Yang H, Zhou W. The short-term effects of air pollution exposure on preterm births in Chongqing, China: 2015-2020. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:51679-51691. [PMID: 36810823 PMCID: PMC10119072 DOI: 10.1007/s11356-023-25624-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Accepted: 01/24/2023] [Indexed: 06/18/2023]
Abstract
Accumulating evidence suggested that the risk of preterm births (PTBs) following prenatal exposure to air pollution was inconclusive. The aim of this study is to investigate the relationship between air pollution exposure in the days before delivery and PTB and assess the threshold effect of short-term prenatal exposure to air pollution on PTB. This study collected data including meteorological factors, air pollutants, and information in Birth Certificate System from 9 districts during 2015-2020 in Chongqing, China. Generalized additive models (GAMs) with the distributed lag non-linear models were conducted to assess the acute impact of air pollutants on the daily counts of PTB, after controlling for potential confounding factors. We observed that PM2.5 was related to increased occurrence of PTB on lag 0-3 and lag 10-21 days, with the strongest on the first day (RR = 1.017, 95%CI: 1.000-1.034) and then decreasing. The thresholds of PM2.5 for lag 1-7 and 1-30 days were 100 μg/m3 and 50 μg/m3, respectively. The lag effect of PM10 on PTB was very similar to that of PM2.5. In addition, the lagged and cumulative exposure of SO2 and NO2 was also associated with the increased risk of PTB. The lag relative risk and cumulative relative risk of CO exposure were the strongest, with a maximum RR at lag 0 (RR = 1.044, 95%CI: 1.018, 1.069). Importantly, the exposure-response curve of CO showed that RR increased rapidly when the concentration exceeded 1000 μg/m3. This study indicated significant associations between air pollution and PTB. The relative risk decreases with day lag, while the cumulative effect increases. Thus, pregnant women should understand the risk of air pollution and try to avoid high concentration exposure.
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Affiliation(s)
- Xin Ming
- Women and Children's Hospital of Chongqing Medical University (Chongqing Health Center for Women and Children), Longshan Road 120, Chongqing, 401147, China
| | - Ziyi He
- Women and Children's Hospital of Chongqing Medical University (Chongqing Health Center for Women and Children), Longshan Road 120, Chongqing, 401147, China
| | - Yannan Li
- Women and Children's Hospital of Chongqing Medical University (Chongqing Health Center for Women and Children), Longshan Road 120, Chongqing, 401147, China
| | - Yaqiong Hu
- Women and Children's Hospital of Chongqing Medical University (Chongqing Health Center for Women and Children), Longshan Road 120, Chongqing, 401147, China
| | - Yunping Yang
- Women and Children's Hospital of Chongqing Medical University (Chongqing Health Center for Women and Children), Longshan Road 120, Chongqing, 401147, China
| | - Hongyan Chen
- Women and Children's Hospital of Chongqing Medical University (Chongqing Health Center for Women and Children), Longshan Road 120, Chongqing, 401147, China
| | - Qin Chen
- Institute of Toxicology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Huan Yang
- Institute of Toxicology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Wenzheng Zhou
- Women and Children's Hospital of Chongqing Medical University (Chongqing Health Center for Women and Children), Longshan Road 120, Chongqing, 401147, China.
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Goriainova V, Awada C, Opoku F, Zelikoff JT. Adverse Effects of Black Carbon (BC) Exposure during Pregnancy on Maternal and Fetal Health: A Contemporary Review. TOXICS 2022; 10:toxics10120779. [PMID: 36548612 PMCID: PMC9781396 DOI: 10.3390/toxics10120779] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Revised: 11/26/2022] [Accepted: 12/08/2022] [Indexed: 05/31/2023]
Abstract
Black carbon (BC) is a major component of ambient particulate matter (PM), one of the six Environmental Protection Agency (EPA) Criteria air pollutants. The majority of research on the adverse effects of BC exposure so far has been focused on respiratory and cardiovascular systems in children. Few studies have also explored whether prenatal BC exposure affects the fetus, the placenta and/or the course of pregnancy itself. Thus, this contemporary review seeks to elucidate state-of-the-art research on this understudied topic. Epidemiological studies have shown a correlation between BC and a variety of adverse effects on fetal health, including low birth weight for gestational age and increased risk of preterm birth, as well as cardiometabolic and respiratory system complications following maternal exposure during pregnancy. There is epidemiological evidence suggesting that BC exposure increases the risk of gestational diabetes mellitus, as well as other maternal health issues, such as pregnancy loss, all of which need to be more thoroughly investigated. Adverse placental effects from BC exposure include inflammatory responses, interference with placental iodine uptake, and expression of DNA repair and tumor suppressor genes. Taking into account the differences in BC exposure around the world, as well as interracial disparities and the need to better understand the underlying mechanisms of the health effects associated with prenatal exposure, toxicological research examining the effects of early life exposure to BC is needed.
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Kaur K, Lesseur C, Deyssenroth MA, Kloog I, Schwartz JD, Marsit CJ, Chen J. PM 2.5 exposure during pregnancy is associated with altered placental expression of lipid metabolic genes in a US birth cohort. ENVIRONMENTAL RESEARCH 2022; 211:113066. [PMID: 35248564 PMCID: PMC9177798 DOI: 10.1016/j.envres.2022.113066] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Revised: 02/28/2022] [Accepted: 03/01/2022] [Indexed: 05/31/2023]
Abstract
Inhalation of ambient PM2.5, shown to be able to cross the placenta, has been linked to adverse obstetric and postnatal metabolic health outcomes. The placenta regulates fetal growth and influences postnatal development via fetal programming. Placental gene expression may be influenced by intrauterine exposures to PM2.5. Herein, we explore whether maternal PM2.5 exposure during pregnancy alters placental gene expression related to lipid and glucose metabolism in a U.S. birth cohort, the Rhode Island Child Health Study (RICHS). Average PM2.5 exposure level was estimated linking residential addresses and satellite data across the three trimesters using spatio-temporal models. Based on Gene Ontology annotations, we curated a list of 657 lipid and glucose metabolism genes. We conducted a two-staged analysis by leveraging placental RNA-Seq data from 148 subjects to identify top dysregulated metabolic genes associated with PM2.5 (Phase I) and then validated the results in placental samples from 415 participants of the cohort using RT-qPCR (Phase II). Associations between PM2.5 and placental gene expression were explored using multivariable linear regression models in the overall population and in sex-stratified analyses. The average level of PM2.5 exposure across pregnancy was 8.0μg/m3, which is below the national standard of 12μg/m3. Phase I revealed that expression levels of 32 out of the curated list of 657 genes were significantly associated with PM2.5 exposure (FDR P<0.01), 28 genes showed differential expression modified by sex of the infant. Five of these genes (ABHD3, ATP11A, CLTCL1, ST6GALNAC4 and PSCA) were validated using RT-qPCR. Associations were stronger in placentas from male births compared to females, indicating a sex-dependent effect. These genes are involved in inflammation, lipid transport, cell-cell communication or cell invasion. Our results suggest that gestational PM2.5 exposure may alter placental metabolic function. However, whether it confers long-term programming effects postnatally, especially in a sex-specific matter, warrants further studies.
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Affiliation(s)
- Kirtan Kaur
- Department of Environmental Medicine, School of Medicine, NYU Langone Health, New York, NY, USA
| | - Corina Lesseur
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Maya A Deyssenroth
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Itai Kloog
- Department of Geography and Environmental Development, Faculty of Humanities and Social Sciences, Ben Gurion University, Beersheba, 8410501, Israel
| | - Joel D Schwartz
- Department of Environmental Health, Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Carmen J Marsit
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, GA, USA
| | - Jia Chen
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
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Prenatal exposure to ambient air pollution and traffic and indicators of adiposity in early childhood: the Healthy Start study. Int J Obes (Lond) 2022; 46:494-501. [PMID: 34754067 PMCID: PMC9269985 DOI: 10.1038/s41366-021-01003-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Revised: 10/12/2021] [Accepted: 10/14/2021] [Indexed: 12/16/2022]
Abstract
BACKGROUND Prenatal exposure to ambient air pollution and traffic have been related to a lower birth weight and may be associated with greater adiposity in childhood. We aimed to examine associations of maternal exposure to ambient air pollution and traffic during pregnancy with indicators of adiposity in early childhood. METHODS We included 738 participants of the Colorado-based Healthy Start study whose height, weight, waist circumference and/or fat mass were measured at age 4-6 years. We estimated residential exposure to ambient concentrations of fine particulate matter (PM2.5) and ozone (O3) averaged by trimester and throughout pregnancy via inverse distance-weighted interpolation of central site monitoring data. We assessed the distance to the nearest major roadway and traffic density in multiple buffers surrounding the participants' homes. Associations of prenatal exposure to air pollution and traffic with overweight, waist circumference, percent fat mass and fat mass index (FMI) were assessed by logistic and linear regression. RESULTS Associations of exposure to PM2.5 and O3 at the residential address during pregnancy with percent fat mass and FMI at age 4-6 years were inconsistent across trimesters. For example, second trimester PM2.5 was associated with a higher percent fat mass (adjusted difference 0.70% [95% CI 0.05, 1.35%] per interquartile range (IQR; 1.3 µg/m3) increase), while third trimester PM2.5 was associated with a lower percent fat mass (adjusted difference -1.17% [95% CI -1.84, -0.50%] per IQR (1.3 µg/m3) increase). Residential proximity to a highway during pregnancy was associated with higher odds of being overweight at age 4-6 years. We observed no associations of prenatal exposure to PM2.5 and O3 with overweight and waist circumference. CONCLUSIONS We found limited evidence of associations of prenatal exposure to ambient PM2.5 and O3 with indicators of adiposity at age 4-6 years. Suggestive relationships between residential proximity to a highway during pregnancy and greater adiposity merit further investigation.
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A Simple Method to Establish Sufficiency and Stability in Meta-Analyses: With Application to Fine Particulate Matter Air Pollution and Preterm Birth. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19042036. [PMID: 35206221 PMCID: PMC8871712 DOI: 10.3390/ijerph19042036] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/26/2021] [Revised: 02/04/2022] [Accepted: 02/09/2022] [Indexed: 12/02/2022]
Abstract
Fine particulate matter air pollution (PM2.5) is a potential cause of preterm birth. Inconsistent findings from observational studies have motivated researchers to conduct more studies, but some degree of study heterogeneity is inevitable. The consequence of this feedback is a burgeoning research effort that results in marginal gains. The aim of this study was to develop and apply a method to establish the sufficiency and stability of estimates of associations as they have been published over time. Cohort studies identified in a recent systematic review and meta-analysis on the association between preterm birth and whole-pregnancy exposure to PM2.5 were selected. The estimates of the cohort studies were pooled with cumulative meta-analysis, whereby a new meta-analysis was run for each new study published over time. The relative risks (RR) and 95% confidence interval (CI) limits needed for a new study to move the cumulative RR to 1.00 were calculated. Findings indicate that the cumulative relative risks (cRR) for PM2.5 (cRR 1.07, 95% CI 1.03, 1.12) converged in 2015 (RR 1.07, 95% CI 1.01, 1.14). To change conclusions to a null association, a new study would need to observe a protective RR of 0.93 (95% CI limit 1.02) with precision equivalent to that achieved by all past 24 cohort studies combined. Preterm birth is associated with elevated PM2.5, and it is highly unlikely that any new observational study will alter this conclusion. Consequently, establishing whether an observational association exists is now less relevant an objective for future studies than characterising risk (magnitude, impact, pathways, populations and potential bias) and interventions. Sufficiency and stability can be effectively applied in meta-analyses and have the potential to reduce research waste.
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Deyssenroth MA, Rosa MJ, Eliot MN, Kelsey KT, Kloog I, Schwartz JD, Wellenius GA, Peng S, Hao K, Marsit CJ, Chen J. Placental gene networks at the interface between maternal PM 2.5 exposure early in gestation and reduced infant birthweight. ENVIRONMENTAL RESEARCH 2021; 199:111342. [PMID: 34015297 PMCID: PMC8195860 DOI: 10.1016/j.envres.2021.111342] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Revised: 05/10/2021] [Accepted: 05/12/2021] [Indexed: 05/31/2023]
Abstract
BACKGROUND A growing body of evidence links maternal exposure to particulate matter <2.5 μM in diameter (PM2.5) and deviations in fetal growth. Several studies suggest that the placenta plays a critical role in conveying the effects of maternal PM2.5 exposure to the developing fetus. These include observed associations between air pollutants and candidate placental features, such as mitochondrial DNA content, DNA methylation and telomere length. However, gaps remain in delineating the pathways linking the placenta to air pollution-related health effects, including a comprehensive profiling of placental processes impacted by maternal PM2.5 exposure. In this study, we examined alterations in a placental transcriptome-wide network in relation to maternal PM2.5 exposure prior to and during pregnancy and infant birthweight. METHODS We evaluated PM2.5 exposure and placental RNA-sequencing data among study participants enrolled in the Rhode Island Child Health Study (RICHS). Daily residential PM2.5 levels were estimated using a hybrid model incorporating land-use regression and satellite remote sensing data. Distributed lag models were implemented to assess the impact on infant birthweight due to PM2.5 weekly averages ranging from 12 weeks prior to gestation until birth. Correlations were assessed between PM2.5 levels averaged across the identified window of susceptibility and a placental transcriptome-wide gene coexpression network previously generated using the WGCNA R package. RESULTS We identified a sensitive window spanning 12 weeks prior to and 13 weeks into gestation during which maternal PM2.5 exposure is significantly associated with reduced infant birthweight. Two placental coexpression modules enriched for genes involved in amino acid transport and cellular respiration were correlated with infant birthweight as well as maternal PM2.5 exposure levels averaged across the identified growth restriction window. CONCLUSION Our findings suggest that maternal PM2.5 exposure may alter placental programming of fetal growth, with potential implications for downstream health effects, including susceptibility to cardiometabolic health outcomes and viral infections.
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Affiliation(s)
- Maya A Deyssenroth
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, 10032, USA.
| | - Maria José Rosa
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Melissa N Eliot
- Department of Epidemiology, Brown University School of Public Health, Providence, RI, 02903, USA
| | - Karl T Kelsey
- Department of Epidemiology, Brown University School of Public Health, Providence, RI, 02903, USA; Department of Pathology and Laboratory Medicine, Brown University, Providence, RI, 02903, USA
| | - Itai Kloog
- Department of Geography and Environmental Development, Faculty of Humanities and Social Sciences, Ben Gurion University, Beersheba, 8410501, Israel
| | - Joel D Schwartz
- Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA, 02215, USA; Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, 02215, USA
| | - Gregory A Wellenius
- Boston University School of Public Health, Boston University, Boston, MA, 02215, USA
| | - Shouneng Peng
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Ke Hao
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Carmen J Marsit
- Environmental Health, Rollins School of Public Health of Emory University, Atlanta, GA, 30322, USA
| | - Jia Chen
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
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Zhuang LH, Chen A, Braun JM, Lanphear BP, Hu JMY, Yolton K, McCandless LC. Effects of gestational exposures to chemical mixtures on birth weight using Bayesian factor analysis in the Health Outcome and Measures of Environment (HOME) Study. Environ Epidemiol 2021; 5:e159. [PMID: 34131620 PMCID: PMC8196215 DOI: 10.1097/ee9.0000000000000159] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Accepted: 04/30/2021] [Indexed: 01/04/2023] Open
Abstract
Studying the effects of gestational exposures to chemical mixtures on infant birth weight is inconclusive due to several challenges. One of the challenges is which statistical methods to rely on. Bayesian factor analysis (BFA), which has not been utilized for chemical mixtures, has advantages in variance reduction and model interpretation. METHODS We analyzed data from a cohort of 384 pregnant women and their newborns using urinary biomarkers of phthalates, phenols, and organophosphate pesticides (OPs) and serum biomarkers of polychlorinated biphenyls (PCBs), polybrominated diphenyl ethers (PBDEs), perfluoroalkyl substances (PFAS), and organochlorine pesticides (OCPs). We examined the association between exposure to chemical mixtures and birth weight using BFA and compared with multiple linear regression (MLR) and Bayesian kernel regression models (BKMR). RESULTS For BFA, a 10-fold increase in the concentrations of PCB and PFAS mixtures was associated with an 81 g (95% confidence intervals [CI] = -132 to -31 g) and 57 g (95% CI = -105 to -10 g) reduction in birth weight, respectively. BKMR results confirmed the direction of effect. However, the 95% credible intervals all contained the null. For single-pollutant MLR, a 10-fold increases in the concentrations of multiple chemicals were associated with reduced birth weight, yet the 95% CI all contained the null. Variance inflation from MLR was apparent for models that adjusted for copollutants, resulting in less precise confidence intervals. CONCLUSION We demonstrated the merits of BFA on mixture analysis in terms of precision and interpretation compared with MLR and BKMR. We also identified the association between exposure to PCBs and PFAS and lower birth weight.
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Affiliation(s)
- Liheng H. Zhuang
- Faculty of Health Sciences, Simon Fraser University, Burnaby, British Columbia
| | - Aimin Chen
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Joseph M. Braun
- Department of Epidemiology, Brown University, Providence, Rhode Island
| | - Bruce P. Lanphear
- Faculty of Health Sciences, Simon Fraser University, Burnaby, British Columbia
| | - Janice M. Y. Hu
- Faculty of Health Sciences, Simon Fraser University, Burnaby, British Columbia
| | - Kimberly Yolton
- Division of General and Community Pediatrics, Department of Pediatrics, Cincinnati Children’s Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, Ohio
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Martenies SE, Hoskovec L, Wilson A, Allshouse WB, Adgate JL, Dabelea D, Jathar S, Magzamen S. Assessing the Impact of Wildfires on the Use of Black Carbon as an Indicator of Traffic Exposures in Environmental Epidemiology Studies. GEOHEALTH 2021; 5:e2020GH000347. [PMID: 34124496 PMCID: PMC8173457 DOI: 10.1029/2020gh000347] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/05/2020] [Revised: 01/28/2021] [Accepted: 01/29/2021] [Indexed: 05/21/2023]
Abstract
Epidemiological studies frequently use black carbon (BC) as a proxy for traffic-related air pollution (TRAP). However, wildfire smoke (WFS) represents an important source of BC not often considered when using BC as a proxy for TRAP. Here, we examined the potential for WFS to bias TRAP exposure assessments based on BC measurements. Weekly integrated BC samples were collected across the Denver, CO region from May to November 2018. We collected 609 filters during our sampling campaigns, 35% of which were WFS-impacted. For each filter we calculated an average BC concentration. We assessed three GIS-based indicators of TRAP for each sampling location: annual average daily traffic within a 300 m buffer, the minimum distance to a highway, and the sum of the lengths of roadways within 300 m. Median BC concentrations were 9% higher for WFS-impacted filters (median = 1.14 μg/m3, IQR = 0.23 μg/m3) than nonimpacted filters (median = 1.04 μg/m3, IQR = 0.48 μg/m3). During WFS events, BC concentrations were elevated and expected spatial gradients in BC were reduced. We conducted a simulation study to estimate TRAP exposure misclassification as the result of regional WFS. Our results suggest that linear health effect estimates were biased away from the null when WFS was present. Thus, exposure assessments relying on BC as a proxy for TRAP may be biased by wildfire events. Alternative metrics that account for the influence of "brown" carbon associated with biomass burning may better isolate the effects of traffic emissions from those of other black carbon sources.
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Affiliation(s)
- S. E. Martenies
- Kinesiology and Community HealikthUniversity of Illinois at Urbana‐ChampaignUrbanaILUSA
- Environmental and Radiological Health SciencesColorado State UniversityFort CollinsCOUSA
| | - L. Hoskovec
- Department of Statistics, Colorado State UniversityFort CollinsCOUSA
| | - A. Wilson
- Department of Statistics, Colorado State UniversityFort CollinsCOUSA
| | - W. B. Allshouse
- Environmental and Occupational Health, Colorado School of Public HealthUniversity of Colorado Anschutz Medical CampusAuroraCOUSA
| | - J. L. Adgate
- Environmental and Occupational Health, Colorado School of Public HealthUniversity of Colorado Anschutz Medical CampusAuroraCOUSA
| | - D. Dabelea
- Department of EpidemiologyColorado School of Public HealthUniversity of Colorado Anschutz Medical CampusAuroraCOUSA
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD Center)University of Colorado Anschutz Medical CampusAuroraCOUSA
- School of MedicineDepartment of PediatricsUniversity of Colorado Anschutz Medical CampusAuroraCOUSA
| | - S. Jathar
- Department of Mechanical EngineeringColorado State UniversityFort CollinsCOUSA
| | - S. Magzamen
- Environmental and Radiological Health SciencesColorado State UniversityFort CollinsCOUSA
- Department of EpidemiologyColorado School of Public HealthUniversity of Colorado Anschutz Medical CampusAuroraCOUSA
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11
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Williams AD, Kanner J, Grantz KL, Ouidir M, Sheehy S, Sherman S, Robledo C, Mendola P. Air pollution exposure and risk of adverse obstetric and neonatal outcomes among women with type 1 diabetes. ENVIRONMENTAL RESEARCH 2021; 197:111152. [PMID: 33844969 PMCID: PMC8190832 DOI: 10.1016/j.envres.2021.111152] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Revised: 02/13/2021] [Accepted: 04/07/2021] [Indexed: 05/30/2023]
Abstract
AIMS/HYPOTHESIS Women with type 1 diabetes have increased risk for poor obstetric outcomes. Prenatal air pollution exposure is also associated with adverse outcomes for women and infants. We examined whether women with type 1 diabetes are more vulnerable than other women to pollution-associated risks during pregnancy. METHODS In singleton deliveries from the Consortium on Safe Labor (2002-2008), obstetric and neonatal outcomes were compared for women with type 1 diabetes (n = 507) and women without autoimmune disease (n = 204,384). Preconception, trimester, and whole pregnancy average air pollutant exposure (ozone (O3), carbon monoxide (CO), particulate matter >10 μm (PM10), PM > 2.5 μm (PM2.5), sulfur dioxide (SO2), nitrogen oxides (NOx)) were estimated using modified Community Multiscale Air Quality models. Poisson regression models with diabetes*pollutant interaction terms estimated relative risks and 95% confidence intervals for adverse outcomes, adjusted for maternal characteristics and geographic region. RESULTS For whole pregnancy exposure to SO2, women with type 1 diabetes had 15% increased risk (RR:1.15 95%CI:1.01,1.31) and women without autoimmune disease had 5% increased risk (RR:1.05 95%CI:1.05,1.06) for small for gestational age birth (pinteraction = 0.09). Additionally, whole pregnancy O3 exposure was associated with 10% increased risk (RR:1.10 95%CI:1.02,1.17) among women with type 1 diabetes and 2% increased risk (RR:1.02 95%CI:1.00,1.04) among women without autoimmune disease for perinatal mortality (pinteraction = 0.08). Similar patterns were observed between PM2.5 exposure and spontaneous preterm birth. CONCLUSIONS Pregnant women with type 1 diabetes may be at greater risk for adverse outcomes when exposed to air pollution than women without autoimmune disease.
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Affiliation(s)
- Andrew D Williams
- Public Health Program, Department of Population Health, School of Medicine and Health Sciences, University of North Dakota, Room E162, 1301 North Columbia Road Stop 9037, Grand Forks, ND, 58202, USA.
| | - Jenna Kanner
- School of Medicine, University of Maryland, Baltimore, 655 W. Baltimore Stree, Baltimore, MD, 21201, USA
| | - Katherine L Grantz
- Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, 6710B Rockledge Drive, Bethesda, MD, 20892, USA
| | - Marion Ouidir
- Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, 6710B Rockledge Drive, Bethesda, MD, 20892, USA
| | - Shanshan Sheehy
- Slone Epidemiology Center, Boston University School of Medicine, 72 E Concord Street, Boston, MA, 02118, USA
| | - Seth Sherman
- The Emmes Company, 401 North Washington Street #700, Rockville, MD, 20850, USA
| | - Candace Robledo
- Department of Population Health and Biostatistics, University of Texas Rio Grande Valley School of Medicine, 2102 Treasure Hill Blvd, Harlingen, TX, 78550, USA
| | - Pauline Mendola
- Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, 6710B Rockledge Drive, Bethesda, MD, 20892, USA; Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, 401 Kimball Tower, Buffalo, NY, 14214, USA
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12
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Ouidir M, Seyve E, Rivière E, Bernard J, Cheminat M, Cortinovis J, Ducroz F, Dugay F, Hulin A, Kloog I, Laborie A, Launay L, Malherbe L, Robic PY, Schwartz J, Siroux V, Virga J, Zaros C, Charles MA, Slama R, Lepeule J. Maternal Ambient Exposure to Atmospheric Pollutants during Pregnancy and Offspring Term Birth Weight in the Nationwide ELFE Cohort. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18115806. [PMID: 34071637 PMCID: PMC8198942 DOI: 10.3390/ijerph18115806] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Revised: 05/18/2021] [Accepted: 05/20/2021] [Indexed: 12/26/2022]
Abstract
Background: Studies have reported associations between maternal exposure to atmospheric pollution and lower birth weight. However, the evidence is not consistent and uncertainties remain. We used advanced statistical approaches to robustly estimate the association of atmospheric pollutant exposure during specific pregnancy time windows with term birth weight (TBW) in a nationwide study. Methods: Among 13,334 women from the French Longitudinal Study of Children (ELFE) cohort, exposures to PM2.5, PM10 (particles < 2.5 µm and <10 µm) and NO2 (nitrogen dioxide) were estimated using a fine spatio-temporal exposure model. We used inverse probability scores and doubly robust methods in generalized additive models accounting for spatial autocorrelation to study the association of such exposures with TBW. Results: First trimester exposures were associated with an increased TBW. Second trimester exposures were associated with a decreased TBW by 17.1 g (95% CI, −26.8, −7.3) and by 18.0 g (−26.6, −9.4) for each 5 µg/m3 increase in PM2.5 and PM10, respectively, and by 15.9 g (−27.6, −4.2) for each 10 µg/m3 increase in NO2. Third trimester exposures (truncated at 37 gestational weeks) were associated with a decreased TBW by 48.1 g (−58.1, −38.0) for PM2.5, 38.1 g (−46.7, −29.6) for PM10 and 14.7 g (−25.3, −4.0) for NO2. Effects of pollutants on TBW were larger in rural areas. Conclusions: Our results support an adverse effect of air pollutant exposure on TBW. We highlighted a larger effect of air pollutants on TBW among women living in rural areas compared to women living in urban areas.
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Affiliation(s)
- Marion Ouidir
- Univ. Grenoble Alpes, Inserm, CNRS, IAB, 38000 Grenoble, France; (E.S.); (V.S.); (R.S.); (J.L.)
- Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD 20892, USA
- Correspondence:
| | - Emie Seyve
- Univ. Grenoble Alpes, Inserm, CNRS, IAB, 38000 Grenoble, France; (E.S.); (V.S.); (R.S.); (J.L.)
| | - Emmanuel Rivière
- ASPA, ATMO Grand Est, 67300 Schiltigheim, France; (E.R.); (J.B.)
| | - Julien Bernard
- ASPA, ATMO Grand Est, 67300 Schiltigheim, France; (E.R.); (J.B.)
| | - Marie Cheminat
- Ined-Inserm-EFS Joint Unit ELFE, 75020 Paris, France; (M.C.); (C.Z.); (M.-A.C.)
| | | | | | | | - Agnès Hulin
- ATMO Nouvelle-Aquitaine, 33000 Bordeaux, France;
| | - Itai Kloog
- Department of Geography and Environmental Development, Ben-Gurion University of the Negev, Beer Sheva P.O. Box 653, Israel;
| | | | | | - Laure Malherbe
- National Institute for Industrial Environment and Risks (INERIS), 60550 Verneuil en Halatte, France;
| | | | - Joel Schwartz
- Exposure, Epidemiology, and Risk Program, Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA;
| | - Valérie Siroux
- Univ. Grenoble Alpes, Inserm, CNRS, IAB, 38000 Grenoble, France; (E.S.); (V.S.); (R.S.); (J.L.)
| | | | - Cécile Zaros
- Ined-Inserm-EFS Joint Unit ELFE, 75020 Paris, France; (M.C.); (C.Z.); (M.-A.C.)
| | - Marie-Aline Charles
- Ined-Inserm-EFS Joint Unit ELFE, 75020 Paris, France; (M.C.); (C.Z.); (M.-A.C.)
- Inserm Univ. Paris Descartes, U1153 CRESS, 75004 Paris, France
| | - Rémy Slama
- Univ. Grenoble Alpes, Inserm, CNRS, IAB, 38000 Grenoble, France; (E.S.); (V.S.); (R.S.); (J.L.)
| | - Johanna Lepeule
- Univ. Grenoble Alpes, Inserm, CNRS, IAB, 38000 Grenoble, France; (E.S.); (V.S.); (R.S.); (J.L.)
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13
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Qiu X, Fong KC, Shi L, Papatheodorou S, Di Q, Just A, Kosheleva A, Messerlian C, Schwartz JD. Prenatal exposure to particulate air pollution and gestational age at delivery in Massachusetts neonates 2001-2015: A perspective of causal modeling and health disparities. Environ Epidemiol 2020; 4:e113. [PMID: 33154990 PMCID: PMC7595249 DOI: 10.1097/ee9.0000000000000113] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2020] [Accepted: 07/23/2020] [Indexed: 11/26/2022] Open
Abstract
There is a lack of evidence on causal effects of air pollution on gestational age (GA) at delivery. METHODS Inverse probability weighting (IPW) quantile regression was applied to derive causal marginal population-level GA reduction for GA percentiles associated with increased ambient particulate matter with diameter <2.5 μm (PM2.5) levels at maternal residential address for each trimester and the month preceding delivery using Massachusetts birth registry 2001 to 2015. Stratified analyses were conducted for neonatal sex, maternal age/race/education, and extreme ambient temperature conditions. RESULTS For neonates at 2.5th, 10th, 25th, 50th, 75th, and 97.5th percentiles of GA at delivery, we estimated an adjusted GA reduction of 4.2 days (95% confidence interval [CI] = 3.4, 5.0), 1.9 days (1.6, 2.1), 1.2 days (1.0, 1.4), 0.82 days (0.72, 0.92), 0.74 days (0.54, 0.94), and 0.54 days (0.15, 0.93) for each 5 μg/m3 increment in third trimester average PM2.5 levels. Final gestational month average exposure yielded a similar effect with greater magnitude. Male neonates and neonates of younger (younger than 35 years) and African American mothers as well as with high/low extreme temperature exposure in third trimester were more affected. Estimates were consistently higher at lower GA percentiles, indicating preterm/early-term births being more affected. Low-exposure analyses yielded similar results, restricting to areas with PM2.5 levels under US ambient annual standard of 12 μg/m3. CONCLUSIONS Prenatal exposure to PM2.5 in late pregnancy reduced GA at delivery among Massachusetts neonates, especially among preterm/early-term births, male neonates, and neonates of younger and African American mothers. Exposure to extremely high/low temperature amplifies the effect of PM2.5 on GA.
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Affiliation(s)
- Xinye Qiu
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Kelvin C Fong
- School of the Environment, Yale University, New Haven, Connecticut
| | - Liuhua Shi
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Stefania Papatheodorou
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Qian Di
- School of Medicine, Tsinghua University, Beijing, China
| | - Allan Just
- Icahn School of Medicine at Mount Sinai, New York City, New York
| | - Anna Kosheleva
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Carmen Messerlian
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Joel D Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
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14
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Bekkar B, Pacheco S, Basu R, DeNicola N. Association of Air Pollution and Heat Exposure With Preterm Birth, Low Birth Weight, and Stillbirth in the US: A Systematic Review. JAMA Netw Open 2020; 3:e208243. [PMID: 32556259 PMCID: PMC7303808 DOI: 10.1001/jamanetworkopen.2020.8243] [Citation(s) in RCA: 323] [Impact Index Per Article: 80.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/19/2023] Open
Abstract
IMPORTANCE Knowledge of whether serious adverse pregnancy outcomes are associated with increasingly widespread effects of climate change in the US would be crucial for the obstetrical medical community and for women and families across the country. OBJECTIVE To investigate prenatal exposure to fine particulate matter (PM2.5), ozone, and heat, and the association of these factors with preterm birth, low birth weight, and stillbirth. EVIDENCE REVIEW This systematic review involved a comprehensive search for primary literature in Cochrane Library, Cochrane Collaboration Registry of Controlled Trials, PubMed, ClinicalTrials.gov website, and MEDLINE. Qualifying primary research studies included human participants in US populations that were published in English between January 1, 2007, and April 30, 2019. Included articles analyzed the associations between air pollutants or heat and obstetrical outcomes. Comparative observational cohort studies and cross-sectional studies with comparators were included, without minimum sample size. Additional articles found through reference review were also considered. Articles analyzing other obstetrical outcomes, non-US populations, and reviews were excluded. Two reviewers independently determined study eligibility. The Arskey and O'Malley scoping review framework was used. Data extraction was performed according to the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) reporting guideline. FINDINGS Of the 1851 articles identified, 68 met the inclusion criteria. Overall, 32 798 152 births were analyzed, with a mean (SD) of 565 485 (783 278) births per study. A total of 57 studies (48 of 58 [84%] on air pollutants; 9 of 10 [90%] on heat) showed a significant association of air pollutant and heat exposure with birth outcomes. Positive associations were found across all US geographic regions. Exposure to PM2.5 or ozone was associated with increased risk of preterm birth in 19 of 24 studies (79%) and low birth weight in 25 of 29 studies (86%). The subpopulations at highest risk were persons with asthma and minority groups, especially black mothers. Accurate comparisons of risk were limited by differences in study design, exposure measurement, population demographics, and seasonality. CONCLUSIONS AND RELEVANCE This review suggests that increasingly common environmental exposures exacerbated by climate change are significantly associated with serious adverse pregnancy outcomes across the US.
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Affiliation(s)
- Bruce Bekkar
- Retired from Southern California Permanente Medical Group, San Diego
| | - Susan Pacheco
- The University of Texas McGovern Medical School, Houston
| | - Rupa Basu
- California Office of Environmental Health Hazard Assessment, Air and Climate Epidemiology Section, Oakland
- Department of Environmental Health Sciences, University of California Berkeley School of Public Health, Berkeley
| | - Nathaniel DeNicola
- George Washington University School of Medicine and Health Sciences, Washington, DC
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15
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Starling AP, Moore BF, Thomas DSK, Peel JL, Zhang W, Adgate JL, Magzamen S, Martenies SE, Allshouse WB, Dabelea D. Prenatal exposure to traffic and ambient air pollution and infant weight and adiposity: The Healthy Start study. ENVIRONMENTAL RESEARCH 2020; 182:109130. [PMID: 32069764 PMCID: PMC7394733 DOI: 10.1016/j.envres.2020.109130] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/04/2019] [Revised: 01/08/2020] [Accepted: 01/09/2020] [Indexed: 05/06/2023]
Abstract
BACKGROUND Prenatal exposures to ambient air pollution and traffic have been associated with adverse birth outcomes, and may also lead to an increased risk of obesity. Obesity risk may be reflected in changes in body composition in infancy. OBJECTIVE To estimate associations between prenatal ambient air pollution and traffic exposure, and infant weight and adiposity in a Colorado-based prospective cohort study. METHODS Participants were 1125 mother-infant pairs with term births. Birth weight was recorded from medical records and body composition measures (fat mass, fat-free mass, and adiposity [percent fat mass]) were evaluated via air displacement plethysmography at birth (n = 951) and at ~5 months (n = 574). Maternal residential address was used to calculate distance to nearest roadway, traffic density, and ambient concentrations of fine particulate matter (PM2.5) and ozone (O3) via inverse-distance weighted interpolation of stationary monitoring data, averaged by trimester and throughout pregnancy. Adjusted linear regression models estimated associations between exposures and infant weight and body composition. RESULTS Participants were urban residents and diverse in race/ethnicity and socioeconomic status. Average ambient air pollutant concentrations were generally low; the median, interquartile range (IQR), and range of third trimester concentrations were 7.3 μg/m3 (IQR: 1.3, range: 3.3-12.7) for PM2.5 and 46.3 ppb (IQR: 18.4, range: 21.7-63.2) for 8-h maximum O3. Overall there were few associations between traffic and air pollution exposures and infant outcomes. Third trimester O3 was associated with greater adiposity at follow-up (2.2% per IQR, 95% CI 0.1, 4.3), and with greater rates of change in fat mass (1.8 g/day, 95% CI 0.5, 3.2) and adiposity (2.1%/100 days, 95% CI 0.4, 3.7) from birth to follow-up. CONCLUSIONS We found limited evidence of an association between prenatal traffic and ambient air pollution exposure and infant body composition. Suggestive associations between prenatal ozone exposure and early postnatal changes in body composition merit further investigation.
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Affiliation(s)
- Anne P Starling
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
| | - Brianna F Moore
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Deborah S K Thomas
- Department of Geography and Earth Sciences, University of North Carolina Charlotte, NC, USA
| | - Jennifer L Peel
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA
| | - Weiming Zhang
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - John L Adgate
- Department of Environmental and Occupational Health, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Sheryl Magzamen
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA; Department of Epidemiology, Colorado School of Public Health, Colorado State University, Fort Collins, CO, USA
| | - Sheena E Martenies
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA
| | - William B Allshouse
- Department of Environmental and Occupational Health, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Dana Dabelea
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
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16
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Konkel L. Hot Temperatures during Pregnancy: Evidence for an Impact on Fetal Growth. ENVIRONMENTAL HEALTH PERSPECTIVES 2020; 128:34002. [PMID: 32141773 PMCID: PMC7137909 DOI: 10.1289/ehp6169] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/04/2019] [Accepted: 09/05/2019] [Indexed: 06/10/2023]
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17
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Olgun NS, Morris AM, Bowers LN, Stefaniak AB, Friend SA, Reznik SE, Leonard SS. Mild steel and stainless steel welding fumes elicit pro-inflammatory and pro-oxidant effects in first trimester trophoblast cells. Am J Reprod Immunol 2020; 83:e13221. [PMID: 31943498 PMCID: PMC7079021 DOI: 10.1111/aji.13221] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2019] [Revised: 11/18/2019] [Accepted: 12/07/2019] [Indexed: 12/17/2022] Open
Abstract
Problem As more women join the skilled‐trade workforce, the effects of workplace exposures on pregnancy need to be explored. This study aims to identify the effects of mild steel and stainless steel welding fume exposures on cultured placental trophoblast cells. Method of study Welding fumes (mild steel and stainless steel) were generously donated by Lincoln Electric. Electron microscopy was used to characterize welding fume particle size and the ability of particles to enter extravillous trophoblast cells (HTR‐8/SVneo). Cellular viability, free radical production, cytokine production, and ability of cells to maintain invasive properties were analyzed, respectively, by WST‐1, electron paramagnetic resonance, DCFH‐DA, V‐plex MULTI‐SPOT assay system, and a matrix gel invasion assay. Results For all three welding fume types, average particle size was <210 nm. HTR‐8/SVneo cells internalized welding particles, and nuclear condensation was observed. Cellular viability was significantly decreased at the high dose of 100 µg/mL for all three welding fumes, and stainless steel generated the greatest production of the hydroxyl radical, and intracellular reactive oxygen species. Production of the cytokines IL‐1β and TNFα were not observed in response to welding fume exposure, but IL‐6 and IL‐8 were. Finally, the invasive capability of cells was decreased upon exposure to both mild steel and stainless steel welding fumes. Conclusion Welding fumes are cytotoxic to extravillous trophoblasts, as is evident by the production of free radicals, pro‐inflammatory cytokines, and the observed decrease in invasive capabilities.
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Affiliation(s)
- Nicole S Olgun
- Health Effects Laboratory Division, National Institute for Occupational Safety and Health, Morgantown, West Virginia
| | - Anna M Morris
- Health Effects Laboratory Division, National Institute for Occupational Safety and Health, Morgantown, West Virginia
| | - Lauren N Bowers
- Respiratory Health Division, National Institute for Occupational Safety and Health, Morgantown, West Virginia
| | - Aleksandr B Stefaniak
- Respiratory Health Division, National Institute for Occupational Safety and Health, Morgantown, West Virginia
| | - Sherri A Friend
- Health Effects Laboratory Division, National Institute for Occupational Safety and Health, Morgantown, West Virginia
| | - Sandra E Reznik
- Department of Pharmaceutical Sciences, St. John's University, Queens, New York
| | - Stephen S Leonard
- Health Effects Laboratory Division, National Institute for Occupational Safety and Health, Morgantown, West Virginia
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18
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Sears CG, Mueller-Leonhard C, Wellenius GA, Chen A, Ryan P, Lanphear BP, Braun JM. Early-life exposure to traffic-related air pollution and child anthropometry. Environ Epidemiol 2019; 3:e061. [PMID: 32885129 PMCID: PMC7461703 DOI: 10.1097/ee9.0000000000000061] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2019] [Accepted: 07/22/2019] [Indexed: 11/26/2022] Open
Abstract
BACKGROUND Early-life exposure to traffic-related air pollution may decrease fetal growth and increase childhood obesity risk. Our objective was to evaluate the relationship of early-life exposure to traffic-related air pollution with birthweight in term newborns and obesity at age 7-8 years in two prospective birth cohorts in Cincinnati, OH (the Health Outcomes and Measures of the Environment (HOME) Study and Cincinnati Childhood Allergy and Air Pollution Study (CCAAPS)). METHODS We estimated elemental carbon attributable to traffic (ECAT) exposure at residential addresses during pregnancy with a validated land use regression model. We assessed birthweight among term infants using birth records or parent report (HOME Study n= 333 and CCAAPS n=590). We measured children's weight and height at 7-8 years, and calculated age- and sex-specific BMI z-scores (HOME Study n= 198 and CCAAPS n=459). Using multivariable linear regression, we estimated the difference in term birthweight and BMI z-score per interquartile range (IQR) increase in ECAT concentrations in each cohort separately and in the pooled sample. RESULTS In adjusted models, ECAT exposure was not associated with lower birthweight (pooled sample β: 30g; 95% CI: -6, 66), or with higher BMI z-score (pooled sample β: -0.04; 95% CI: -0.15, 0.08). Infant sex modified the association between ECAT and birthweight (p=0.05). Among male newborns, higher ECAT concentrations were associated with higher birthweight (β: 61g; 95% CI: 9, 113), but we observed no association among female newborns (β: -9g; 95% CI: -58, 41). CONCLUSIONS In contrast to some prior studies, early-life traffic-related air pollution exposure was not associated with lower birthweight or increased childhood adiposity in these two cohorts.
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Affiliation(s)
- Clara G Sears
- Department of Epidemiology, Brown University, Providence, RI, United States
| | | | | | - Aimin Chen
- Department of Environmental Health, University of Cincinnati College of Medicine, Cincinnati, OH, United States
| | - Patrick Ryan
- Department of Pediatrics, University of Cincinnati, College of Medicine, Cincinnati, OH, United States
- Division of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States
| | - Bruce P Lanphear
- Faculty of Health Sciences, Simon Fraser University, Burnaby, BC, Canada
| | - Joseph M Braun
- Department of Epidemiology, Brown University, Providence, RI, United States
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19
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Sun S, Spangler KR, Weinberger KR, Yanosky JD, Braun JM, Wellenius GA. Ambient Temperature and Markers of Fetal Growth: A Retrospective Observational Study of 29 Million U.S. Singleton Births. ENVIRONMENTAL HEALTH PERSPECTIVES 2019; 127:67005. [PMID: 31162981 PMCID: PMC6792370 DOI: 10.1289/ehp4648] [Citation(s) in RCA: 42] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/02/2023]
Abstract
BACKGROUND Emerging studies suggest that ambient temperature during pregnancy may be associated with fetal growth, but the existing evidence is limited and inconsistent. OBJECTIVES We aimed to evaluate the association of trimester-specific temperature with risk of being born small for gestational age (SGA) and birth weight-markers of fetal growth-among term births in the contiguous United States. METHODS We included data on 29,597,735 live singleton births between 1989 and 2002 across 403 U.S. counties. We estimated daily county-level population-weighted mean temperature using a spatially refined gridded climate data set. We used logistic regression to estimate the association between trimester-specific temperature and risk of SGA and linear regression to evaluate the association between trimester-specific temperature and term birth weight z-score, adjusting for parity, maternal demographics, smoking or drinking during pregnancy, chronic hypertension, and year and month of conception. We then pooled results overall and by geographic regions and climate zones. RESULTS High ambient temperatures ([Formula: see text] percentile) during the entire pregnancy were associated with higher risk of term SGA {odds ratio [OR] [Formula: see text] 1.041 [95% confidence interval (CI): 1.029, 1.054]} and lower term birth weight [standardized to [Formula: see text] (95% CI: [Formula: see text], [Formula: see text]) reduction in birth weight for infants born at 40 weeks of gestation]. Low temperatures ([Formula: see text] percentile) during the entire pregnancy were not associated with SGA [OR [Formula: see text] 1.003 (95% CI: 0.991, 1.015)] but were associated with a small decrement in term birth weight [standardized to [Formula: see text] (95% CI: [Formula: see text], [Formula: see text])]. Risks of term SGA and birth weight were more strongly associated with temperature averaged across the second and third trimesters, in areas the Northeast, and in areas with cold or very cold climates. CONCLUSIONS Above-average temperatures during pregnancy were associated with lower fetal growth. Our findings provide evidence that temperature may be a novel risk factor for reduced fetal growth. https://doi.org/10.1289/EHP4648.
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Affiliation(s)
- Shengzhi Sun
- Department of Epidemiology, Brown University School of Public Health, Providence, Rhode Island
| | - Keith R. Spangler
- Department of Epidemiology, Brown University School of Public Health, Providence, Rhode Island
- Department of Earth, Environmental and Planetary Sciences, Brown University, Providence, Rhode Island
| | - Kate R. Weinberger
- Department of Epidemiology, Brown University School of Public Health, Providence, Rhode Island
| | - Jeff D. Yanosky
- Division of Epidemiology, Department of Public Health Sciences, Pennsylvania State University College of Medicine, Hershey, Pennsylvania
| | - Joseph M. Braun
- Department of Epidemiology, Brown University School of Public Health, Providence, Rhode Island
| | - Gregory A. Wellenius
- Department of Epidemiology, Brown University School of Public Health, Providence, Rhode Island
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Oh Y, Bae J. Impact of Changes in Maternal Age and Parity Distribution on the Increasing Trends in the Low Birth Weight and Very Low Birth Weight Rates in South Korea, 2005-2015. J Prev Med Public Health 2019; 52:123-130. [PMID: 30971079 PMCID: PMC6459761 DOI: 10.3961/jpmph.18.247] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2018] [Accepted: 02/14/2019] [Indexed: 11/09/2022] Open
Abstract
OBJECTIVES The aim of this study was to evaluate the impact of shifts in maternal age and parity on the increasing trends in the low birth weight (LBW) and very low birth weight (VLBW) rates from 2005 to 2015 in South Korea. METHODS Data from 4 993 041 live births registered with Statistics Korea during the period between 2005 and 2015 were analyzed. Applying a modified standardization method, we partitioned the total increment in the LBW and VLBW rates into (1) the increase in the LBW and VLBW rates due to changes in the maternal age and parity distribution (AP-dis) and (2) the increase due to changes in the age-specific and parity-specific rates (AP-spe) of LBW and VLBW for singleton and multiple births, respectively. RESULTS During the study period, the total increment in the LBW and VLBW rates was 1.43%p and 0.25%p, respectively. Among singleton births, changes in the AP-dis accounted for 79% (0.34%p) and 50% (0.06%p) of the total increment in the LBW and VLBW rates, respectively. Meanwhile, among multiple births, changes in the AP-dis did not contribute to the increase in the LBW and VLBW rates, with 100% of the increase in the LBW (1.00%p) and VLBW (0.13%p) rates being attributed to changes in the AP-spe. CONCLUSIONS This study demonstrated that shifts in maternal age and parity were prominent contributors to the increase in the LBW and VLBW rates among singleton births between 2005 and 2015 in South Korea.
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Affiliation(s)
- Yujin Oh
- Department of Preventive Medicine, Daegu Catholic University School of Medicine, Daegu, Korea.,Environmental Health Center, Soonchunhyang University Gumi Hospital, Gumi, Korea
| | - Jisuk Bae
- Department of Preventive Medicine, Daegu Catholic University School of Medicine, Daegu, Korea
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Casey JA, Karasek D, Ogburn EL, Goin DE, Dang K, Braveman PA, Morello-Frosch R. Retirements of Coal and Oil Power Plants in California: Association With Reduced Preterm Birth Among Populations Nearby. Am J Epidemiol 2018. [PMID: 29796613 DOI: 10.1093/aje/kwy110/4996680] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/01/2023] Open
Abstract
Coal and oil power plant retirements reduce air pollution nearby, but few studies have leveraged these natural experiments for public health research. We used California Department of Public Health birth records and US Energy Information Administration data from 2001-2011 to evaluate the relationship between the retirements of 8 coal and oil power plants and nearby preterm (gestational age of <37 weeks) birth. We conducted a difference-in-differences analysis using adjusted linear mixed models that included 57,005 births-6.3% of which were preterm-to compare the probability of preterm birth before and after power plant retirement among mothers residing within 0-5 km and 5-10 km of the 8 power plants. We found that power plant retirements were associated with a decrease in the proportion of preterm birth within 5 km (-0.019, 95% CI: -0.031, -0.008) and 5-10 km (-0.015, 95% CI: -0.024, -0.007), controlling for secular trends with mothers living 10-20 km away. For the 0-5-km area, this corresponds to a reduction in preterm birth from 7.0% to 5.1%. Subgroup analyses indicated a potentially larger association among non-Hispanic black and Asian mothers than among non-Hispanic white and Hispanic mothers and no differences in educational attainment. Future coal and oil power plant retirements may reduce preterm birth among nearby populations.
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Affiliation(s)
- Joan A Casey
- Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, Berkeley, California
| | - Deborah Karasek
- Preterm Birth Initiative, University of California, San Francisco, San Francisco, California
| | - Elizabeth L Ogburn
- Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland
| | - Dana E Goin
- Division of Epidemiology, School of Public Health, University of California, Berkeley, Berkeley, California
| | - Kristina Dang
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California
| | - Paula A Braveman
- Center on Social Disparities in Health, Department of Family and Community Medicine, University of California, San Francisco, San Francisco, California
| | - Rachel Morello-Frosch
- Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, Berkeley, California
- Department of Environmental Science, Policy, and Management, University of California, Berkeley, Berkeley, California
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Casey JA, Karasek D, Ogburn EL, Goin DE, Dang K, Braveman PA, Morello-Frosch R. Retirements of Coal and Oil Power Plants in California: Association With Reduced Preterm Birth Among Populations Nearby. Am J Epidemiol 2018; 187:1586-1594. [PMID: 29796613 PMCID: PMC6070091 DOI: 10.1093/aje/kwy110] [Citation(s) in RCA: 55] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2017] [Revised: 03/20/2018] [Accepted: 03/22/2018] [Indexed: 12/21/2022] Open
Abstract
Coal and oil power plant retirements reduce air pollution nearby, but few studies have leveraged these natural experiments for public health research. We used California Department of Public Health birth records and US Energy Information Administration data from 2001-2011 to evaluate the relationship between the retirements of 8 coal and oil power plants and nearby preterm (gestational age of <37 weeks) birth. We conducted a difference-in-differences analysis using adjusted linear mixed models that included 57,005 births-6.3% of which were preterm-to compare the probability of preterm birth before and after power plant retirement among mothers residing within 0-5 km and 5-10 km of the 8 power plants. We found that power plant retirements were associated with a decrease in the proportion of preterm birth within 5 km (-0.019, 95% CI: -0.031, -0.008) and 5-10 km (-0.015, 95% CI: -0.024, -0.007), controlling for secular trends with mothers living 10-20 km away. For the 0-5-km area, this corresponds to a reduction in preterm birth from 7.0% to 5.1%. Subgroup analyses indicated a potentially larger association among non-Hispanic black and Asian mothers than among non-Hispanic white and Hispanic mothers and no differences in educational attainment. Future coal and oil power plant retirements may reduce preterm birth among nearby populations.
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Affiliation(s)
- Joan A Casey
- Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, Berkeley, California
| | - Deborah Karasek
- Preterm Birth Initiative, University of California, San Francisco, San Francisco, California
| | - Elizabeth L Ogburn
- Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland
| | - Dana E Goin
- Division of Epidemiology, School of Public Health, University of California, Berkeley, Berkeley, California
| | - Kristina Dang
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California
| | - Paula A Braveman
- Center on Social Disparities in Health, Department of Family and Community Medicine, University of California, San Francisco, San Francisco, California
| | - Rachel Morello-Frosch
- Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, Berkeley, California
- Department of Environmental Science, Policy, and Management, University of California, Berkeley, Berkeley, California
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