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Rancière F, Wafo O, Perrot X, Momas I. Associations between heat wave during pregnancy and term birth weight outcomes: The PARIS birth cohort. ENVIRONMENT INTERNATIONAL 2024; 188:108730. [PMID: 38776654 DOI: 10.1016/j.envint.2024.108730] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Revised: 04/28/2024] [Accepted: 05/07/2024] [Indexed: 05/25/2024]
Abstract
BACKGROUND Climate change will make extreme weather events more frequent in the 21st century. Extreme ambient temperatures during the prenatal period have been associated with adverse pregnancy outcomes such as preterm birth. It is unclear, however, whether heat waves during pregnancy impact fetal growth in apparently healthy term newborns. OBJECTIVES We aimed to investigate associations between heat wave during pregnancy and birth weight outcomes in term newborns from the PARIS birth cohort, and to explore meteorological conditions and air pollution as possible intermediate factors. METHODS We examined data on 3,359 newborns born between 37 and 42 weeks in Paris, France, between 2003 and 2006. Associations of maternal exposure to heat wave (during whole pregnancy and each trimester) with birth weight and small for gestational age (SGA) at term were studied using linear and logistic regression models adjusted for potential confounders. Maternal characteristics were investigated as possible modifiers. We explored the mediating role of ambient temperature, relative humidity, and air pollution levels in the relationship between heat wave during the first trimester and term SGA. RESULTS Mothers who were pregnant during the 2003 French heat wave (n = 506, 15 %) were more likely to have a term SGA baby (aOR = 2.70; 95 %CI: 1.38, 5.28) compared to mothers who did not experience heat wave during pregnancy. The association was stronger when heat wave occurred during the first trimester (aOR = 4.18; 95 %CI: 1.69, 10.35). Primiparous women were identified as more vulnerable than multiparous women. Average ambient temperature and air quality index explained about 36 % and 56 % of the association between heat wave during the first trimester and term SGA, respectively. CONCLUSIONS This study suggests prenatal exposure to heat wave, especially during the first trimester, may adversely affect fetal growth of term newborns, which could be explained by both increasing ambient temperatures and worsening air quality.
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Affiliation(s)
- Fanny Rancière
- Université Paris Cité, Inserm U1153 CRESS, Inrae, HERA team, Paris, France; Faculté de Pharmacie de Paris, Université Paris Cité, Paris, France.
| | - Octave Wafo
- Université Paris Cité, Inserm U1153 CRESS, Inrae, HERA team, Paris, France
| | - Xavier Perrot
- Laboratoire de Météorologie Dynamique, Ecole Normale Supérieure, CNRS, Paris, France
| | - Isabelle Momas
- Université Paris Cité, Inserm U1153 CRESS, Inrae, HERA team, Paris, France; Faculté de Pharmacie de Paris, Université Paris Cité, Paris, France; Cellule Cohorte, Direction de l'Action Sociale de l'Enfance et de la Santé, Mairie de Paris, Paris, France
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Hoover JH, Coker ES, Erdei E, Luo L, Begay D, MacKenzie D, Lewis J. Preterm Birth and Metal Mixture Exposure among Pregnant Women from the Navajo Birth Cohort Study. ENVIRONMENTAL HEALTH PERSPECTIVES 2023; 131:127014. [PMID: 38109118 PMCID: PMC10727039 DOI: 10.1289/ehp10361] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Revised: 10/17/2023] [Accepted: 10/19/2023] [Indexed: 12/19/2023]
Abstract
BACKGROUND Preterm birth (PTB), defined as birth before 37 wk gestation, is associated with hypertension, diabetes, inadequate prenatal care, unemployment or poverty, and metal exposure. Indigenous individuals are more likely to have maternal risk factors associated with PTB compared with other populations in the United States; however, the role of environmental metals on PTB among pregnant Indigenous women remains uncertain. Previous research identified associations between PTB and individual metals, but there is limited investigation on metal mixtures and this birth outcome. OBJECTIVES We used a mixtures analysis framework to investigate the association between metal mixtures and PTB among pregnant Indigenous women from the Navajo Birth Cohort Study (NBCS). METHODS Maternal urine and blood samples were collected at the time of study enrollment and analyzed for metals by inductively coupled plasma dynamic reaction cell mass spectrometry. Bayesian Profile Regression was used to identify subgroups (clusters) of individuals with similar patterns of coexposure and to model association with PTB. RESULTS Results indicated six subgroups of maternal participants with distinct exposure profiles, including one group with low exposure to all metals and one group with total arsenic, cadmium, lead, and uranium concentrations exceeding representative concentrations calculated from the National Health and Nutrition Examination Survey (NHANES). Compared with the reference group (i.e., the lowest exposure subgroup), the subgroup with the highest overall exposure had a relative risk of PTB of 2.9 times (95% credible interval: 1.1, 6.1). Exposures in this subgroup were also higher overall than NHANES median values for women 14-45 years of age. DISCUSSION Given the wide range of exposures and elevated PTB risk for the most exposed subgroups in a relatively small study, follow-up investigation is recommended to evaluate associations between metal mixture profiles and other birth outcomes and to test hypothesized mechanisms of action for PTB and oxidative stress caused by environmental metals. https://doi.org/10.1289/EHP10361.
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Affiliation(s)
- Joseph H. Hoover
- Community Environmental Health Program, College of Pharmacy, Department of Pharmaceutical Sciences, University of New Mexico Health Sciences Center, Albuquerque, New Mexico, USA
- Department of Environmental Science, College of Agriculture, Life and Environmental Sciences, University of Arizona, Tucson, Arizona, USA
| | - Eric S. Coker
- British Columbia Centre for Disease Control, Vancouver, British Columbia, Canada
| | - Esther Erdei
- Community Environmental Health Program, College of Pharmacy, Department of Pharmaceutical Sciences, University of New Mexico Health Sciences Center, Albuquerque, New Mexico, USA
| | - Li Luo
- Department of Internal Medicine and Comprehensive Cancer Center, University of New Mexico, Albuquerque, New Mexico, USA
| | - David Begay
- Community Environmental Health Program, College of Pharmacy, Department of Pharmaceutical Sciences, University of New Mexico Health Sciences Center, Albuquerque, New Mexico, USA
| | - Debra MacKenzie
- Community Environmental Health Program, College of Pharmacy, Department of Pharmaceutical Sciences, University of New Mexico Health Sciences Center, Albuquerque, New Mexico, USA
| | - NBCS Study Team
- Community Environmental Health Program, College of Pharmacy, Department of Pharmaceutical Sciences, University of New Mexico Health Sciences Center, Albuquerque, New Mexico, USA
| | - Johnnye Lewis
- Community Environmental Health Program, College of Pharmacy, Department of Pharmaceutical Sciences, University of New Mexico Health Sciences Center, Albuquerque, New Mexico, USA
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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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Basagaña X, Michael Y, Lensky IM, Rubin L, Grotto I, Vadislavsky E, Levi Y, Amitai E, Agay-Shay K. Low and High Ambient Temperatures during Pregnancy and Birth Weight among 624,940 Singleton Term Births in Israel (2010-2014): An Investigation of Potential Windows of Susceptibility. ENVIRONMENTAL HEALTH PERSPECTIVES 2021; 129:107001. [PMID: 34643443 PMCID: PMC8513522 DOI: 10.1289/ehp8117] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/14/2023]
Abstract
BACKGROUND Exposure to heat during pregnancy has been associated with reduced fetal growth. Less is known about associations with cold and the potential for critical time windows of exposure. OBJECTIVES We aimed to evaluate, in a national retrospective cohort, critical windows of susceptibility during pregnancy to extreme temperatures (low and high) and fetal growth, among 624,940 singleton term births in Israel during the period 2010-2014. METHODS Temperature exposures were estimated using a spatially refined gridded climate data set with a 1-h and 1-km2 resolution. Percentiles of temperature were categorized by climatic zone for the entire pregnancy and by trimesters and weeks. Generalized additive models with the distributed lag nonlinear model framework were used to estimate unadjusted and adjusted associations between percentiles and categories of temperature and fetal growth markers: term [births after 36 weeks of gestational age (GA)] mean birth weight and term low birth weight (tLBW, term infants with birth weight below 2,500g). RESULTS After adjustment, extreme temperatures (percentiles) during the entire pregnancy were associated with a lower mean birth weight {≤10th vs. 41st-50th percentile: -56g [95% confidence interval (CI): -63g, -50g)]; >90th vs. 41st-50th percentile: -65g; 95% CI: -72g, -58g}. Similar inverse U-shaped patterns were observed for all trimesters, with stronger associations for heat than for cold and for exposures during the third trimester. For heat, results suggest critical windows between 3-9 and 19-34 GA-weeks, with the strongest association estimated at 3 GA-weeks (temperature >90th vs. 41st-50th percentiles: -3.8g; 95% CI: -7.1g, -0.4g). For cold, there was a consistent trend of null associations early in pregnancy and stronger inverse associations over time, with the strongest association at 36 GA-week (≤10th vs. 41st-50th percentiles: -2.9g; 95% CI: -6.5g, 0.7g). For tLBW, U-shape patterns were estimated for the entire pregnancy and third trimester exposures, as well as nonsignificant associations with heat for 29-36 GA-weeks. Generally, the patterns of associations with temperatures during the entire pregnancy were consistent when stratified by urbanicity and geocoding hierarchy, when estimated for daily minimum and maximum temperatures, when exposures were classified based on temperature distributions in 49 natural regions, and when estimated for all live births. DISCUSSION Findings from our study of term live births in Israel (2010-2014) suggest that exposure to extreme temperatures, especially heat, during specific time windows may result in reduced fetal growth. https://doi.org/10.1289/EHP8117.
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Affiliation(s)
- Xavier Basagaña
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Yaron Michael
- Department of Geography and Environment, Bar-Ilan University, Ramat-Gan, Israel
| | - Itamar M. Lensky
- Department of Geography and Environment, Bar-Ilan University, Ramat-Gan, Israel
| | - Lisa Rubin
- School of Public Health, University of Haifa, Haifa, Israel
| | - Itamar Grotto
- Health Science, Ben-Gurion University of the Negev, Beer Sheva, Israel
| | | | - Yoav Levi
- Israel Meteorological Service (IMS), Bet Dagan, Israel
| | - Eyal Amitai
- Israel Meteorological Service (IMS), Bet Dagan, Israel
| | - Keren Agay-Shay
- Health & Environment Research (HER) Lab, Azrieli Faculty of Medicine, Bar Ilan University, Safed, Israel
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Huang M, Strickland MJ, Richards M, Holmes HA, Newman AJ, Garn JV, Liu Y, Warren JL, Chang HH, Darrow LA. Acute associations between heatwaves and preterm and early-term birth in 50 US metropolitan areas: a matched case-control study. Environ Health 2021; 20:47. [PMID: 33892728 PMCID: PMC8066488 DOI: 10.1186/s12940-021-00733-y] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Accepted: 04/15/2021] [Indexed: 06/12/2023]
Abstract
BACKGROUND The effect of heatwaves on adverse birth outcomes is not well understood and may vary by how heatwaves are defined. The study aims to examine acute associations between various heatwave definitions and preterm and early-term birth. METHODS Using national vital records from 50 metropolitan statistical areas (MSAs) between 1982 and 1988, singleton preterm (< 37 weeks) and early-term births (37-38 weeks) were matched (1:1) to controls who completed at least 37 weeks or 39 weeks of gestation, respectively. Matching variables were MSA, maternal race, and maternal education. Sixty heatwave definitions including binary indicators for exposure to sustained heat, number of high heat days, and measures of heat intensity (the average degrees over the threshold in the past 7 days) based on the 97.5th percentile of MSA-specific temperature metrics, or the 85th percentile of positive excessive heat factor (EHF) were created. Odds ratios (OR) for heatwave exposures in the week preceding birth (or corresponding gestational week for controls) were estimated using conditional logistic regression adjusting for maternal age, marital status, and seasonality. Effect modification by maternal education, age, race/ethnicity, child sex, and region was assessed. RESULTS There were 615,329 preterm and 1,005,576 early-term case-control pairs in the analyses. For most definitions, exposure to heatwaves in the week before delivery was consistently associated with increased odds of early-term birth. Exposure to more high heat days and more degrees above the threshold yielded higher magnitude ORs. For exposure to 3 or more days over the 97.5th percentile of mean temperature in the past week compared to zero days, the OR was 1.027 for early-term birth (95%CI: 1.014, 1.039). Although we generally found null associations when assessing various heatwave definitions and preterm birth, ORs for both preterm and early-term birth were greater in magnitude among Hispanic and non-Hispanic black mothers. CONCLUSION Although associations varied across metrics and heatwave definitions, heatwaves were more consistently associated with early-term birth than with preterm birth. This study's findings may have implications for prevention programs targeting vulnerable subgroups as climate change progresses.
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Affiliation(s)
- Mengjiao Huang
- School of Community Health Sciences, University of Nevada, 1664 N. Virginia Street, Reno, NV, 89557, USA.
| | - Matthew J Strickland
- School of Community Health Sciences, University of Nevada, 1664 N. Virginia Street, Reno, NV, 89557, USA
| | - Megan Richards
- School of Community Health Sciences, University of Nevada, 1664 N. Virginia Street, Reno, NV, 89557, USA
| | - Heather A Holmes
- Department of Chemical Engineering, University of Utah, Salt Lake City, UT, USA
| | | | - Joshua V Garn
- School of Community Health Sciences, University of Nevada, 1664 N. Virginia Street, Reno, NV, 89557, USA
| | - Yan Liu
- School of Community Health Sciences, University of Nevada, 1664 N. Virginia Street, Reno, NV, 89557, USA
| | - Joshua L Warren
- Department of Biostatistics, Yale University, New Haven, CT, USA
| | - Howard H Chang
- Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Lyndsey A Darrow
- School of Community Health Sciences, University of Nevada, 1664 N. Virginia Street, Reno, NV, 89557, USA
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Chersich MF, Pham MD, Areal A, Haghighi MM, Manyuchi A, Swift CP, Wernecke B, Robinson M, Hetem R, Boeckmann M, Hajat S. Associations between high temperatures in pregnancy and risk of preterm birth, low birth weight, and stillbirths: systematic review and meta-analysis. BMJ 2020; 371:m3811. [PMID: 33148618 PMCID: PMC7610201 DOI: 10.1136/bmj.m3811] [Citation(s) in RCA: 173] [Impact Index Per Article: 43.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
OBJECTIVE To assess whether exposure to high temperatures in pregnancy is associated with increased risk for preterm birth, low birth weight, and stillbirth. DESIGN Systematic review and random effects meta-analysis. DATA SOURCES Medline and Web of Science searched up to September 2018, updated in August 2019. ELIGIBILITY CRITERIA FOR SELECTING STUDIES Clinical studies on associations between high environmental temperatures, and preterm birth, birth weight, and stillbirths. RESULTS 14 880 records and 175 full text articles were screened. 70 studies were included, set in 27 countries, seven of which were countries with low or middle income. In 40 of 47 studies, preterm births were more common at higher than lower temperatures. Exposures were classified as heatwaves, 1°C increments, and temperature threshold cutoff points. In random effects meta-analysis, odds of a preterm birth rose 1.05-fold (95% confidence interval 1.03 to 1.07) per 1°C increase in temperature and 1.16-fold (1.10 to 1.23) during heatwaves. Higher temperature was associated with reduced birth weight in 18 of 28 studies, with considerable statistical heterogeneity. Eight studies on stillbirths all showed associations between temperature and stillbirth, with stillbirths increasing 1.05-fold (1.01 to 1.08) per 1°C rise in temperature. Associations between temperature and outcomes were largest among women in lower socioeconomic groups and at age extremes. The multiple temperature metrics and lag analyses limited comparison between studies and settings. CONCLUSIONS Although summary effect sizes are relatively small, heat exposures are common and the outcomes are important determinants of population health. Linkages between socioeconomic status and study outcomes suggest that risks might be largest in low and middle income countries. Temperature rises with global warming could have major implications for child health. SYSTEMATIC REVIEW REGISTRATION PROSPERO CRD 42019140136 and CRD 42018118113.
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Affiliation(s)
- Matthew Francis Chersich
- Wits Reproductive Health and HIV Institute, Faculty of Health Sciences, University of the Witwatersrand, Hillbrow, Johannesburg 2001, South Africa
| | - Minh Duc Pham
- Burnet Institute, Melbourne, VIC, Australia
- School of Public Health and Preventive Medicine, Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Ashtyn Areal
- Leibniz Research Institute for Environmental Medicine, Düsseldorf, Germany
| | - Marjan Mosalam Haghighi
- The Children's Hospital at Westmead, Cardiology Centre, University of Sydney, Sydney, NSW, Australia
| | - Albert Manyuchi
- Global Change Institute, University of the Witwatersrand, Johannesburg, South Africa
| | | | - Bianca Wernecke
- Environment and Health Research Unit, South African Medical Research Council, Johannesburg, South Africa
- Environmental Health Department, Faculty of Health Sciences, University of Johannesburg, South Africa
| | | | - Robyn Hetem
- School of Animal, Plant and Environmental Sciences, Faculty of Science, University of the Witwatersrand, Johannesburg, South Africa
| | - Melanie Boeckmann
- Department of Environment and Health, School of Public Health, Bielefeld University, Germany
| | - Shakoor Hajat
- Department of Public Health, Environments and Society, and the Centre on Climate Change and Planetary Health, London School of Hygiene and Tropical Medicine, London, UK
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Adverse Birth Outcomes Related to NO 2 and PM Exposure: European Systematic Review and Meta-Analysis. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17218116. [PMID: 33153181 PMCID: PMC7662294 DOI: 10.3390/ijerph17218116] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/22/2020] [Revised: 10/29/2020] [Accepted: 10/30/2020] [Indexed: 12/27/2022]
Abstract
There is a growing number of international studies on the association between ambient air pollution and adverse pregnancy outcomes, and this systematic review and meta-analysis has been conducted focusing on European countries, to assess the crucial public health issue of this suspected association on this geographical area. A systematic literature search (based on Preferred Reporting Items for Systematic reviews and Meta-Analyses, PRISMA, guidelines) has been performed on all European epidemiological studies published up until 1 April 2020, on the association between maternal exposure during pregnancy to nitrogen dioxide (NO2) or particular matter (PM) and the risk of adverse birth outcomes, including: low birth weight (LBW) and preterm birth (PTB). Fourteen articles were included in the systematic review and nine of them were included in the meta-analysis. Our meta-analysis was conducted for 2 combinations of NO2 exposure related to birth weight and PTB. Our systematic review revealed that risk of LBW increases with the increase of air pollution exposure (including PM10, PM2.5 and NO2) during the whole pregnancy. Our meta-analysis found that birth weight decreases with NO2 increase (pooled beta = −13.63, 95% confidence interval (CI) (−28.03, 0.77)) and the risk of PTB increase for 10 µg/m3 increase in NO2 (pooled odds ratio (OR) = 1.07, 95% CI (0.90, 1.28)). However, the results were not statistically significant. Our finding support the main international results, suggesting that increased air pollution exposure during pregnancy might contribute to adverse birth outcomes, especially LBW. This body of evidence has limitations that impede the formulation of firm conclusions. Further studies, well-focused on European countries, are called to resolve the limitations which could affect the strength of association such as: the exposure assessment, the critical windows of exposure during pregnancy, and the definition of adverse birth outcomes. This analysis of limitations of the current body of research could be used as a baseline for further studies and may serve as basis for reflection for research agenda improvements.
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Measuring Burden of Disease Attributable to Air Pollution Due to Preterm Birth Complications and Infant Death in Paris Using Disability-Adjusted Life Years (DALYs). INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17217841. [PMID: 33114696 PMCID: PMC7663522 DOI: 10.3390/ijerph17217841] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/03/2020] [Revised: 10/08/2020] [Accepted: 10/13/2020] [Indexed: 12/22/2022]
Abstract
Several studies have found maternal exposure to particulate matter pollution was associated with adverse birth outcomes, including infant mortality and preterm birth. In this context, our study aims to quantify the air pollution burden of disease due to preterm birth complications and infant death in Paris, with particular attention to people living in the most deprived census blocks. Data on infant death and preterm birth was available from the birth and death certificates. The postal address of mother’s newborn was converted in census block number. A socioeconomic deprivation index was built at the census block level. Average annual ambient concentrations of PM10 were modelled at census block level using the ESMERALDA atmospheric modelling system. The number of infant deaths attributed to PM10 exposure is expressed in years of life lost. We used a three-step compartmental model to appraise neurodevelopmental impairment among survivors of preterm birth. We estimated that 12.8 infant deaths per 100,000 live births may be attributable to PM10 exposure, and about one third of these infants lived in deprived census blocks. In addition, we found that approximately 4.8% of preterm births could be attributable to PM10 exposure, and approximately 1.9% of these infants died (corresponding to about 5.75 deaths per 100,000 live birth). Quantification of environmental hazard-related health impacts for children at local level is essential to prioritizing interventions. Our study suggests that additional effort is needed to reduce the risk of complications and deaths related to air pollution exposure, especially among preterm births. Because of widespread exposure to air pollution, significant health benefits could be achieved through regulatory interventions aimed at reducing exposure of the population as a whole, and particularly of the most vulnerable, such as children and pregnant women.
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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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Associations Between Ambient Air Pollutant Concentrations and Birth Weight: A Quantile Regression Analysis. Epidemiology 2020; 30:624-632. [PMID: 31386644 DOI: 10.1097/ede.0000000000001038] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
INTRODUCTION We investigated the extent to which associations of ambient air pollutant concentrations and birth weight varied across birth weight quantiles. METHODS We analyzed singleton births ≥27 weeks of gestation from 20-county metropolitan Atlanta with conception dates between January 1, 2002 and February 28, 2006 (N = 273,711). Trimester-specific and total pregnancy average concentrations for 10 pollutants, obtained from ground observations that were interpolated using 12-km Community Multiscale Air Quality model outputs, were assigned using maternal residence at delivery. We estimated associations between interquartile range width (IQRw) increases in pollutant concentrations and changes in birth weight using quantile regression. RESULTS Gestational age-adjusted associations were of greater magnitude at higher percentiles of the birth weight distribution. Pollutants with large vehicle source contributions (carbon monoxide, nitrogen dioxide, PM2.5 elemental carbon, and total PM2.5 mass), as well as PM2.5 sulfate and PM2.5 ammonium, were associated with birth weight decreases for the higher birth weight percentiles. For example, whereas the decrease in mean birthweight per IQRw increase in PM2.5 averaged over pregnancy was -7.8 g (95% confidence interval = -13.6, -2.0 g), the quantile-specific associations were: 10th percentile -2.4 g (-11.5, 6.7 g); 50th percentile -8.9 g (-15.7, -2.0g); and 90th percentile -19.3 g (-30.6, -7.9 g). Associations for the intermediate and high birth weight quantiles were not sensitive to gestational age adjustment. For some pollutants, we saw associations at the lowest quantile (10th percentile) when not adjusting for gestational age. CONCLUSIONS Associations between air pollution and reduced birth weight were of greater magnitude for newborns at relatively heavy birth weights.
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Vrijheid M, Fossati S, Maitre L, Márquez S, Roumeliotaki T, Agier L, Andrusaityte S, Cadiou S, Casas M, de Castro M, Dedele A, Donaire-Gonzalez D, Grazuleviciene R, Haug LS, McEachan R, Meltzer HM, Papadopouplou E, Robinson O, Sakhi AK, Siroux V, Sunyer J, Schwarze PE, Tamayo-Uria I, Urquiza J, Vafeiadi M, Valentin A, Warembourg C, Wright J, Nieuwenhuijsen MJ, Thomsen C, Basagaña X, Slama R, Chatzi L. Early-Life Environmental Exposures and Childhood Obesity: An Exposome-Wide Approach. ENVIRONMENTAL HEALTH PERSPECTIVES 2020; 128:67009. [PMID: 32579081 PMCID: PMC7313401 DOI: 10.1289/ehp5975] [Citation(s) in RCA: 126] [Impact Index Per Article: 31.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/30/2019] [Revised: 05/14/2020] [Accepted: 05/21/2020] [Indexed: 05/20/2023]
Abstract
BACKGROUND Chemical and nonchemical environmental exposures are increasingly suspected to influence the development of obesity, especially during early life, but studies mostly consider single exposure groups. OBJECTIVES Our study aimed to systematically assess the association between a wide array of early-life environmental exposures and childhood obesity, using an exposome-wide approach. METHODS The HELIX (Human Early Life Exposome) study measured child body mass index (BMI), waist circumference, skinfold thickness, and body fat mass in 1,301 children from six European birth cohorts age 6-11 y. We estimated 77 prenatal exposures and 96 childhood exposures (cross-sectionally), including indoor and outdoor air pollutants, built environment, green spaces, tobacco smoking, and biomarkers of chemical pollutants (persistent organic pollutants, metals, phthalates, phenols, and pesticides). We used an exposure-wide association study (ExWAS) to screen all exposure-outcome associations independently and used the deletion-substitution-addition (DSA) variable selection algorithm to build a final multiexposure model. RESULTS The prevalence of overweight and obesity combined was 28.8%. Maternal smoking was the only prenatal exposure variable associated with higher child BMI (z-score increase of 0.28, 95% confidence interval: 0.09, 0.48, for active vs. no smoking). For childhood exposures, the multiexposure model identified particulate and nitrogen dioxide air pollution inside the home, urine cotinine levels indicative of secondhand smoke exposure, and residence in more densely populated areas and in areas with fewer facilities to be associated with increased child BMI. Child blood levels of copper and cesium were associated with higher BMI, and levels of organochlorine pollutants, cobalt, and molybdenum were associated with lower BMI. Similar results were found for the other adiposity outcomes. DISCUSSION This first comprehensive and systematic analysis of many suspected environmental obesogens strengthens evidence for an association of smoking, air pollution exposure, and characteristics of the built environment with childhood obesity risk. Cross-sectional biomarker results may suffer from reverse causality bias, whereby obesity status influenced the biomarker concentration. https://doi.org/10.1289/EHP5975.
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Affiliation(s)
- Martine Vrijheid
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Serena Fossati
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Léa Maitre
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Sandra Márquez
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Theano Roumeliotaki
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Crete, Greece
| | - Lydiane Agier
- Team of Environmental Epidemiology Applied to Reproduction and Respiratory Health, INSERM, CNRS, University Grenoble Alpes, Institute for Advanced Biosciences (IAB), U1209 Joint Research Center, Grenoble, France
| | - Sandra Andrusaityte
- Department of Environmental Sciences, Vytautas Magnus University, Kaunas, Lithuania
| | - Solène Cadiou
- Team of Environmental Epidemiology Applied to Reproduction and Respiratory Health, INSERM, CNRS, University Grenoble Alpes, Institute for Advanced Biosciences (IAB), U1209 Joint Research Center, Grenoble, France
| | - Maribel Casas
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Montserrat de Castro
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Audrius Dedele
- Department of Environmental Sciences, Vytautas Magnus University, Kaunas, Lithuania
| | - David Donaire-Gonzalez
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
| | | | - Line S Haug
- Norwegian Institute of Public Health, Oslo, Norway
| | - Rosemary McEachan
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | | | | | - Oliver Robinson
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | | | - Valerie Siroux
- Team of Environmental Epidemiology Applied to Reproduction and Respiratory Health, INSERM, CNRS, University Grenoble Alpes, Institute for Advanced Biosciences (IAB), U1209 Joint Research Center, Grenoble, France
| | - Jordi Sunyer
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | | | - Ibon Tamayo-Uria
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
- Division of Immunology and Immunotherapy, CIMA, Universidad de Navarra, and Instituto de Investigación Sanitaria de Navarra (IdISNA), Pamplona, Spain
| | - Jose Urquiza
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Marina Vafeiadi
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Crete, Greece
| | - Antonia Valentin
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Charline Warembourg
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - John Wright
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Mark J Nieuwenhuijsen
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | | | - Xavier Basagaña
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Rémy Slama
- Team of Environmental Epidemiology Applied to Reproduction and Respiratory Health, INSERM, CNRS, University Grenoble Alpes, Institute for Advanced Biosciences (IAB), U1209 Joint Research Center, Grenoble, France
| | - Leda Chatzi
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
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Gronlund CJ, Yang AJ, Conlon KC, Bergmans RS, Le HQ, Batterman SA, Wahl RL, Cameron L, O'Neill MS. Time series analysis of total and direct associations between high temperatures and preterm births in Detroit, Michigan. BMJ Open 2020; 10:e032476. [PMID: 32029486 PMCID: PMC7045030 DOI: 10.1136/bmjopen-2019-032476] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/20/2019] [Revised: 12/17/2019] [Accepted: 01/09/2020] [Indexed: 11/30/2022] Open
Abstract
OBJECTIVES Preterm births (PTBs) represent significant health risks, and several studies have found associations between high outdoor temperatures and PTB. We estimated both the total and natural direct effects (independent of particulate matter, ozone and nitrogen dioxide air pollutants) of the prior 2-day mean apparent temperature (AT) on PTB. We evaluated effect modification by maternal age, race, education, smoking status and prenatal care. DESIGN AND SETTING We obtained birth records and meteorological data for the Detroit, Michigan, USA area, for the warm months (May to September), 1991 to 2001. We used a time series Poisson regression with splines of AT, wind speed, solar radiation and citywide average precipitation to estimate total effects. To accommodate multiple mediators and exposure-mediator interactions, AT inverse odds weights, predicted by meteorological and air pollutant covariates, were added in a subsequent model to estimate direct effects. RESULTS At 24.9°C relative to 18.6°C, 10.6% (95% CI: 3.8% to 17.2%) of PTBs were attributable to the total effects of AT, and 10.4% (95% CI: 2.2% to 17.5%) to direct effects. Relative excess risks of interaction indicated that the risk of PTB with increasing temperature above 18.6°C was significantly lower among black mothers and higher among mothers less than 19, older than 30, with late or no prenatal care and who smoked. CONCLUSION This additional evidence of a direct association between high temperature and PTB may motivate public health interventions to reduce extreme heat exposures among pregnant women, particularly among those who may have enhanced vulnerability.
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Affiliation(s)
- Carina J Gronlund
- Survey Research Center, University of Michigan Institute for Social Research, Ann Arbor, Michigan, USA
| | - Alyssa J Yang
- Urban Indian Health Institute, Seattle, Washington, USA
| | - Kathryn C Conlon
- Public Health Sciences, University of California Davis, Davis, California, USA
| | - Rachel S Bergmans
- Psychiatry, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Hien Q Le
- Toxicology and Risk Assessment, Chemours Co, Wilmington, Delaware, USA
| | - Stuart A Batterman
- Environmental Health Sciences, University of Michigan, Ann Arbor, Michigan, USA
| | - Robert L Wahl
- Surveillance and Program Evaluation Section, Michigan Department of Health and Human Services, Lansing, MI, USA
| | - Lorraine Cameron
- Michigan Climate and Health Adaptation Program, Michigan Department of Health and Human Services, Lansing, Michigan, USA
| | - Marie S O'Neill
- Environmental Health Sciences and Epidemiology, University of Michigan, Ann Arbor, Michigan, USA
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Smith RB, Beevers SD, Gulliver J, Dajnak D, Fecht D, Blangiardo M, Douglass M, Hansell AL, Anderson HR, Kelly FJ, Toledano MB. Impacts of air pollution and noise on risk of preterm birth and stillbirth in London. ENVIRONMENT INTERNATIONAL 2020; 134:105290. [PMID: 31783238 DOI: 10.1016/j.envint.2019.105290] [Citation(s) in RCA: 63] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/03/2019] [Revised: 10/14/2019] [Accepted: 10/25/2019] [Indexed: 05/17/2023]
Abstract
BACKGROUND Evidence for associations between ambient air pollution and preterm birth and stillbirth is inconsistent. Road traffic produces both air pollutants and noise, but few studies have examined these co-exposures together and none to date with all-cause or cause-specific stillbirths. OBJECTIVES To analyse the relationship between long-term exposure to air pollution and noise at address level during pregnancy and risk of preterm birth and stillbirth. METHODS The study population comprised 581,774 live and still births in the Greater London area, 2006-2010. Outcomes were preterm birth (<37 completed weeks gestation), all-cause stillbirth and cause-specific stillbirth. Exposures during pregnancy to particulate matter with diameter <2.5 μm (PM2.5) and <10 μm (PM10), ozone (O3), primary traffic air pollutants (nitrogen dioxide, nitrogen oxides, PM2.5 from traffic exhaust and traffic non-exhaust), and road traffic noise were estimated based on maternal address at birth. RESULTS An interquartile range increase in O3 exposure was associated with elevated risk of preterm birth (OR 1.15 95% CI: 1.11, 1.18, for both Trimester 1 and 2), all-cause stillbirth (Trimester 1 OR 1.17 95% CI: 1.07, 1.27; Trimester 2 OR 1.20 95% CI: 1.09, 1.32) and asphyxia-related stillbirth (Trimester 1 OR 1.22 95% CI: 1.01, 1.49). Odds ratios with the other air pollutant exposures examined were null or <1, except for primary traffic non-exhaust related PM2.5, which was associated with 3% increased odds of preterm birth (Trimester 1) and 7% increased odds stillbirth (Trimester 1 and 2) when adjusted for O3. Elevated risk of preterm birth was associated with increasing road traffic noise, but only after adjustment for certain air pollutant exposures. DISCUSSION Our findings suggest that exposure to higher levels of O3 and primary traffic non-exhaust related PM2.5 during pregnancy may increase risk of preterm birth and stillbirth; and a possible relationship between long-term traffic-related noise and risk of preterm birth. These findings extend and strengthen the evidence base for important public health impacts of ambient ozone, particulate matter and noise in early life.
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Affiliation(s)
- Rachel B Smith
- MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St Mary's Campus, Norfolk Place, London W2 1PG, UK; NIHR HPRU in Health Impact of Environmental Hazards, King's College London, Franklin-Wilkins Building, 150 Stamford Street, London SE1 9NH, UK
| | - Sean D Beevers
- MRC-PHE Centre for Environment and Health, Environmental Research Group, Faculty of Life Sciences & Medicine, King's College London, Franklin-Wilkins Building, 150 Stamford Street, London SE1 9NH, UK
| | - John Gulliver
- MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St Mary's Campus, Norfolk Place, London W2 1PG, UK; Centre for Environmental Health and Sustainability, University of Leicester, Leicester, UK
| | - David Dajnak
- MRC-PHE Centre for Environment and Health, Environmental Research Group, Faculty of Life Sciences & Medicine, King's College London, Franklin-Wilkins Building, 150 Stamford Street, London SE1 9NH, UK
| | - Daniela Fecht
- UK Small Area Health Statistics Unit, MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, W2 1PG, UK
| | - Marta Blangiardo
- MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St Mary's Campus, Norfolk Place, London W2 1PG, UK
| | - Margaret Douglass
- UK Small Area Health Statistics Unit, MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, W2 1PG, UK
| | - Anna L Hansell
- NIHR HPRU in Health Impact of Environmental Hazards, King's College London, Franklin-Wilkins Building, 150 Stamford Street, London SE1 9NH, UK; Centre for Environmental Health and Sustainability, University of Leicester, Leicester, UK; UK Small Area Health Statistics Unit, MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, W2 1PG, UK
| | - H Ross Anderson
- MRC-PHE Centre for Environment and Health, Environmental Research Group, Faculty of Life Sciences & Medicine, King's College London, Franklin-Wilkins Building, 150 Stamford Street, London SE1 9NH, UK; Population Health Research Institute, St George's, University of London, Cranmer Terrace, London SW17 0RE, UK
| | - Frank J Kelly
- NIHR HPRU in Health Impact of Environmental Hazards, King's College London, Franklin-Wilkins Building, 150 Stamford Street, London SE1 9NH, UK; MRC-PHE Centre for Environment and Health, Environmental Research Group, Faculty of Life Sciences & Medicine, King's College London, Franklin-Wilkins Building, 150 Stamford Street, London SE1 9NH, UK
| | - Mireille B Toledano
- MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St Mary's Campus, Norfolk Place, London W2 1PG, UK; NIHR HPRU in Health Impact of Environmental Hazards, King's College London, Franklin-Wilkins Building, 150 Stamford Street, London SE1 9NH, UK.
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Guo LQ, Chen Y, Mi BB, Dang SN, Zhao DD, Liu R, Wang HL, Yan H. Ambient air pollution and adverse birth outcomes: a systematic review and meta-analysis. J Zhejiang Univ Sci B 2019; 20:238-252. [PMID: 30829011 DOI: 10.1631/jzus.b1800122] [Citation(s) in RCA: 45] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Several reviews have assessed the relationship between exposure to ambient air pollution and adverse birth outcomes during pregnancy, but the results remain controversial. The objective of this study was to assess this correlation quantitatively and to explore sources of heterogeneity. We included all published case-control or cohort studies that evaluated the correlation between ambient air pollution and low birth weight (LBW), preterm birth (PTB), and small for gestational age (SGA). Analytical methods and inclusion criteria were provided on the PROSPERO website (CRD42018085816). We evaluated pooled effects and heterogeneity. Subgroup analyses (grouped by exposure period, study settings, study design, exposure types, data source, Newcastle-Ottawa quality score (NOS), and adjustment for smoking or meteorological factors) were also conducted and publication bias was examined. The risk of bias in systematic reviews (ROBIS) tool was used to evaluate the overall risk of bias in this review. Forty studies met the inclusion criteria. We observed pooled odds ratios (ORs) of 1.03-1.21 for LBW and 0.97-1.06 for PTB when mothers were exposed to CO, NO2, NOx, O3, PM2.5, PM10, or SO2 throughout their pregnancy. For SGA, the pooled estimate was 1.02 in relation to NO2 concentrations. Subgroup analysis and sensitivity analysis decreased the heterogeneity to some extent, such as the subgroups of continuous measures (OR=0.98 (0.97-0.99), I2=0.0%) and NOS>7 (OR=0.98 (0.97-0.99), I2=0.0%) in evaluating the association between PTB and NO2. This review was completed with a low risk of bias. High concentrations of air pollution were significantly related to the higher risk of adverse birth outcomes. However, the sources of heterogeneity among studies should be further explored.
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Affiliation(s)
- Le-Qian Guo
- Department of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China
| | - Yu Chen
- Medical Records Department, the First Hospital of Yulin, Yulin 718000, China
| | - Bai-Bing Mi
- Department of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China
| | - Shao-Nong Dang
- Department of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China
| | - Dou-Dou Zhao
- Department of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China
| | - Rong Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China
| | - Hong-Li Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China
| | - Hong Yan
- Department of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China
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Mohammadi D, Naghshineh E, Sarsangi A, Zare Sakhvidi MJ. Environmental extreme temperature and daily preterm birth in Sabzevar, Iran: a time-series analysis. Environ Health Prev Med 2019; 24:5. [PMID: 30611198 PMCID: PMC6320631 DOI: 10.1186/s12199-018-0760-x] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2018] [Accepted: 12/21/2018] [Indexed: 11/16/2022] Open
Abstract
Objectives Most of the studies on the effect of heat stress on preterm birth (PTB) are conducted in temperate climates. Evidence on this effect in hot and arid countries with low and middle income is limited. This paper describes the short-term effect of exposure to the hot and cold environment on a daily number of PTB in Iran. Methods The daily number of PTB was obtained from all hospitals of the city. Meteorological and air pollution data from 2011 to 2017 were obtained from a metrological station in the city. A semi-parametric generalized additive model following a quasi-Poisson distribution with the distributed lag non-linear model was selected as a modeling framework for time-series analysis to simultaneously model the short-term and lagged effect of heat stress on PTB in the Sabzevar city. Results The minimum and maximum daily temperature were − 11.2 and 45.4 °C respectively. The highest risk estimate at extreme cold temperature was found for apparent temperature (relative risk (RR) 1.83; 95% CI 1.61: 2.09). This pattern was seen for both models. For extreme hot temperatures, the model with mean temperature showed the highest risk increase for both the main model and air pollution adjusted model (RR 1.36; 95% CI 1.25: 1.49). The lowest risk estimate in extremely cold conditions was found in the model with mean temperature. However, for extremely hot temperature conditions, the lowest risk estimate was found for both maximum and apparent temperature. Conclusion Obstetricians working in semi-arid areas should be aware of the influence of environmental extreme temperature on the incidence of PTB. Electronic supplementary material The online version of this article (10.1186/s12199-018-0760-x) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Danial Mohammadi
- Occupational Health Research Center, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.,Department of Occupational Health, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
| | - Elham Naghshineh
- Department of Obstetrics and Gynecology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Alireza Sarsangi
- Department of Remote Sensing and GIS, Faculty of Geography, University of Tehran, Tehran, Iran
| | - Mohammad Javad Zare Sakhvidi
- Occupational Health Research Center, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran. .,Department of Occupational Health, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
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Saldiva SRDM, Barrozo LV, Leone CR, Failla MA, Bonilha EDA, Bernal RTI, Oliveira RCD, Saldiva PHN. Small-Scale Variations in Urban Air Pollution Levels Are Significantly Associated with Premature Births: A Case Study in São Paulo, Brazil. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2018; 15:ijerph15102236. [PMID: 30322031 PMCID: PMC6209908 DOI: 10.3390/ijerph15102236] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/10/2018] [Revised: 10/05/2018] [Accepted: 10/05/2018] [Indexed: 12/12/2022]
Abstract
Premature birth is the result of a complex interaction among genetic, epigenetic, behavioral, socioeconomic, and environmental factors. We evaluated the possible associations between air pollution and the incidence of prematurity in spatial clusters of high and low prevalence in the municipality of São Paulo. It is a spatial case-control study. The residential addresses of mothers with live births that occurred in 2012 and 2013 were geo-coded. A spatial scan statistical test performed to identify possible low-prevalence and high-prevalence clusters of premature births. After identifying, the spatial clusters were drawn samples of cases and controls in each cluster. Mothers were interviewed face-to-face using questionnaires. Air pollution exposure was assessed by passive tubes (NO₂ and O₃) as well as by the determination of trace elements' concentration in tree bark. Binary logistic regression models were applied to determine the significance of the risk of premature birth. Later prenatal care, urinary infection, and hypertension were individual risk factors for prematurity. Particles produced by traffic emissions (estimated by tree bark accumulation) and photochemical pollutants involved in the photochemical cycle (estimated by O₃ and NO₂ passive tubes) also exhibited significant and robust risks for premature births. The results indicate that air pollution is an independent risk factor for prematurity.
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Affiliation(s)
- Silvia Regina Dias Medici Saldiva
- Centro de Pesquisa e Desenvolvimento para o SUS, Instituto de Saúde, Secretaria do Estado da Saúde de São Paulo, Rua Santo Antônio, 590-Bela Vista, São Paulo 01314-000, Brazil.
| | - Ligia Vizeu Barrozo
- Departamento de Geografia da Faculdade de Ciências, Letras e Filosofia da Universidade de São Paulo, Cidade Universitária, Av. Prof. Luciano Gualberto-Butantã, São Paulo 05344-020, Brazil.
- Instituto de Estudos Avançados da Universidade de São Paulo, Rua da Praça do Relógio, 109 andar Térreo. Cidade Universitária, São Paulo 05508-050, Brazil.
| | - Clea Rodrigues Leone
- Departamento de Pediatria da Faculdade de Medicina da Universidade de São Paulo, Av. Dr. Enéas de Carvalho Aguiar, 647-Cerqueira César, São Paulo 05403-000, Brazil.
| | - Marcelo Antunes Failla
- Coordenação de Epidemiologia e Informação (CEInfo)-Secretaria Municipal da Saúde de São Paulo, R. General Jardim, 36-5º andar-Vila Buarque, São Paulo 01223-010, Brazil.
| | - Eliana de Aquino Bonilha
- Coordenação de Epidemiologia e Informação (CEInfo)-Secretaria Municipal da Saúde de São Paulo, R. General Jardim, 36-5º andar-Vila Buarque, São Paulo 01223-010, Brazil.
| | - Regina Tomie Ivata Bernal
- Núcleo de Pesquisas Epidemiológicas em Nutrição e Saúde da Faculdade de Saúde Pública da Universidade de São Paulo, Av. Dr. Arnaldo, 715-Cerqueira César, São Paulo 01246-000, Brazil.
| | - Regiani Carvalho de Oliveira
- Laboratório de Poluição Ambiental do Departamento de Patologia da Faculdade de Medicina da Universidade de São Paulo, Av. Dr. Arnaldo, 455-Cerqueira César, São Paulo 01246-903, Brazil.
| | - Paulo Hilário Nascimento Saldiva
- Instituto de Estudos Avançados da Universidade de São Paulo, Rua da Praça do Relógio, 109 andar Térreo. Cidade Universitária, São Paulo 05508-050, Brazil.
- Laboratório de Poluição Ambiental do Departamento de Patologia da Faculdade de Medicina da Universidade de São Paulo, Av. Dr. Arnaldo, 455-Cerqueira César, São Paulo 01246-903, Brazil.
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Abraham E, Rousseaux S, Agier L, Giorgis-Allemand L, Tost J, Galineau J, Hulin A, Siroux V, Vaiman D, Charles MA, Heude B, Forhan A, Schwartz J, Chuffart F, Bourova-Flin E, Khochbin S, Slama R, Lepeule J. Pregnancy exposure to atmospheric pollution and meteorological conditions and placental DNA methylation. ENVIRONMENT INTERNATIONAL 2018; 118:334-347. [PMID: 29935799 DOI: 10.1016/j.envint.2018.05.007] [Citation(s) in RCA: 82] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/21/2017] [Revised: 05/02/2018] [Accepted: 05/02/2018] [Indexed: 05/17/2023]
Abstract
BACKGROUND Air pollution exposure represents a major health threat to the developing foetus. DNA methylation is one of the most well-known molecular determinants of the epigenetic status of cells. Blood DNA methylation has been proven sensitive to air pollutants, but the molecular impact of air pollution on new-borns has so far received little attention. OBJECTIVES We investigated whether nitrogen dioxide (NO2), particulate matter (PM10), temperature and humidity during pregnancy are associated with differences in placental DNA methylation levels. METHODS Whole-genome DNA-methylation was measured using the Illumina's Infinium HumanMethylation450 BeadChip in the placenta of 668 newborns from the EDEN cohort. We designed an original strategy using a priori biological information to focus on candidate genes with a specific expression pattern in placenta (active or silent) combined with an agnostic epigenome-wide association study (EWAS). We used robust linear regression to identify CpGs and differentially methylated regions (DMR) associated with each exposure during short- and long-term time-windows. RESULTS The candidate genes approach identified nine CpGs mapping to 9 genes associated with prenatal NO2 and PM10 exposure [false discovery rate (FDR) p < 0.05]. Among these, the methylation level of 2 CpGs located in ADORA2B remained significantly associated with NO2 exposure during the 2nd trimester and whole pregnancy in the EWAS (FDR p < 0.05). EWAS further revealed associations between the environmental exposures under study and variations of DNA methylation of 4 other CpGs. We further identified 27 DMRs significantly (FDR p < 0.05) associated with air pollutants exposure and 13 DMRs with meteorological conditions. CONCLUSIONS The methylation of ADORA2B, a gene whose expression was previously associated with hypoxia and pre-eclampsia, was consistently found here sensitive to atmospheric pollutants. In addition, air pollutants were associated to DMRs pointing towards genes previously implicated in preeclampsia, hypertensive and metabolic disorders. These findings demonstrate that air pollutants exposure at levels commonly experienced in the European population are associated with placental gene methylation and provide some mechanistic insight into some of the reported effects of air pollutants on preeclampsia.
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Affiliation(s)
- Emilie Abraham
- Univ. Grenoble Alpes, Inserm, CNRS, IAB, 38000 Grenoble, France
| | | | - Lydiane Agier
- Univ. Grenoble Alpes, Inserm, CNRS, IAB, 38000 Grenoble, France
| | | | - Jörg Tost
- Laboratory for Epigenetics and Environment, Centre National de Recherche en Génomique Humaine, CEA - Institut de Biologie François Jacob, Evry, France
| | | | | | - Valérie Siroux
- Univ. Grenoble Alpes, Inserm, CNRS, IAB, 38000 Grenoble, France
| | - Daniel Vaiman
- Genomics, Epigenetics and Physiopathology of Reproduction, Institut Cochin, U1016 Inserm - UMR 8104 CNRS - Paris-Descartes University, Paris, France
| | - Marie-Aline Charles
- Inserm U1153, Early Origins of Child Health and Development team, Research Center for Epidemiology and Biostatistics Sorbonne Paris Cité (CRESS), Paris Descartes University, Villejuif, France
| | - Barbara Heude
- Inserm U1153, Early Origins of Child Health and Development team, Research Center for Epidemiology and Biostatistics Sorbonne Paris Cité (CRESS), Paris Descartes University, Villejuif, France
| | - Anne Forhan
- Inserm U1153, Early Origins of Child Health and Development team, Research Center for Epidemiology and Biostatistics Sorbonne Paris Cité (CRESS), Paris Descartes University, Villejuif, France
| | - Joel Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | | | | | - Saadi Khochbin
- Univ. Grenoble Alpes, Inserm, CNRS, IAB, 38000 Grenoble, France
| | - Rémy Slama
- Univ. Grenoble Alpes, Inserm, CNRS, IAB, 38000 Grenoble, France
| | - Johanna Lepeule
- Univ. Grenoble Alpes, Inserm, CNRS, IAB, 38000 Grenoble, France.
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Wang YY, Li Q, Guo Y, Zhou H, Wang X, Wang Q, Shen H, Zhang Y, Yan D, Zhang Y, Zhang H, Li S, Chen G, Zhao J, He Y, Yang Y, Xu J, Wang Y, Peng Z, Wang HJ, Ma X. Association of Long-term Exposure to Airborne Particulate Matter of 1 μm or Less With Preterm Birth in China. JAMA Pediatr 2018; 172:e174872. [PMID: 29297052 PMCID: PMC5885853 DOI: 10.1001/jamapediatrics.2017.4872] [Citation(s) in RCA: 72] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
IMPORTANCE Airborne particulate matter pollution has been associated with preterm birth (PTB) in some studies. However, most of these studies assessed only populations living near monitoring stations, and the association of airborne particulate matter having a median diameter of 1 μm or less (PM1) with PTB has not been studied. OBJECTIVE To evaluate whether PM1 concentrations are associated with the risk of PTB. DESIGN, SETTING, AND PARTICIPANTS This national cohort study used National Free Preconception Health Examination Project data collected in 324 of 344 prefecture-level cities from 30 provinces of mainland China. In total, 1 300 342 healthy singleton pregnancies were included from women who were in labor from December 1, 2013, through November 30, 2014. Data analysis was conducted between December 1, 2016, and April 1, 2017. EXPOSURES Predicted weekly PM1 concentration data collected using satellite remote sensing, meteorologic, and land use information matched with the home addresses of pregnant women. MAIN OUTCOMES AND MEASURES Preterm birth (<37 gestational weeks). Gestational age was assessed using the time since the first day of the last menstrual period. Cox proportional hazards regression analysis was used to examine the associations between trimester-specific PM1 concentrations and PTB after controlling for temperature, seasonality, spatial variation, and individual covariates. RESULTS Of the 1 300 342 singleton live births at the gestational age of 20 to 45 weeks included in this study, 104 585 (8.0%) were preterm. In fully adjusted models, a PM1 concentration increase of 10 μg/m3 over the entire pregnancy was significantly associated with increased risk of PTB (hazard ratio [HR], 1.09; 95% CI, 1.09-1.10), very PTB as defined as gestational age from 28 through 31 weeks (HR, 1.20; 95% CI, 1.18-1.23), and extremely PTB as defined as 20 through 27 weeks' gestation (HR, 1.29; 95% CI, 1.25-1.34). Pregnant women who were older (30-50 years) at conception (HR, 1.13; 95% CI, 1.11-1.14), were overweight before pregnancy (HR, 1.13; 95% CI, 1.11-1.15), had a rural household registration (HR, 1.09; 95% CI, 1.09-1.10), worked as farmers (HR, 1.10; 95% CI, 1.09-1.11), and conceived in autumn (HR, 1.48; 95% CI, 1.46-1.50) appeared to be more sensitive to PM1 exposure than their counterparts. CONCLUSIONS AND RELEVANCE Results from this national cohort study examining more than 1.3 million births indicated that exposure to PM1 air pollution was associated with an increased risk of PTB in China. These findings will provide evidence to inform future research studies, public health interventions, and environmental policies.
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Affiliation(s)
- Yuan-yuan Wang
- Environmental and Spatial Epidemiology Research Center, National Human Genetic Resources Center, Beijing, China,National Research Institute for Family Planning, Beijing, China
| | - Qin Li
- Environmental and Spatial Epidemiology Research Center, National Human Genetic Resources Center, Beijing, China,Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, China
| | - Yuming Guo
- Institute for Environment and Climate Research, Jinan University, Guangzhou, China,Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Hong Zhou
- Environmental and Spatial Epidemiology Research Center, National Human Genetic Resources Center, Beijing, China,Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, China
| | - Xiaobin Wang
- Center on the Early Life Origins of Disease, Department of Population, Family, and Reproductive Health, Bloomberg School of Public Health, The Johns Hopkins University, Baltimore, Maryland,Department of Pediatrics, School of Medicine, The Johns Hopkins University, Baltimore, Maryland
| | - Qiaomei Wang
- Department of Maternal and Child Health, National Health and Family Planning Commission of the People’s Republic of China, Beijing
| | - Haiping Shen
- Department of Maternal and Child Health, National Health and Family Planning Commission of the People’s Republic of China, Beijing
| | - Yiping Zhang
- Department of Maternal and Child Health, National Health and Family Planning Commission of the People’s Republic of China, Beijing
| | - Donghai Yan
- Department of Maternal and Child Health, National Health and Family Planning Commission of the People’s Republic of China, Beijing
| | - Ya Zhang
- National Research Institute for Family Planning, Beijing, China
| | - Hongguang Zhang
- National Research Institute for Family Planning, Beijing, China
| | - Shanshan Li
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Gongbo Chen
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Jun Zhao
- National Research Institute for Family Planning, Beijing, China
| | - Yuan He
- National Research Institute for Family Planning, Beijing, China
| | - Ying Yang
- National Research Institute for Family Planning, Beijing, China
| | - Jihong Xu
- National Research Institute for Family Planning, Beijing, China
| | - Yan Wang
- National Research Institute for Family Planning, Beijing, China
| | - Zuoqi Peng
- National Research Institute for Family Planning, Beijing, China
| | - Hai-Jun Wang
- Environmental and Spatial Epidemiology Research Center, National Human Genetic Resources Center, Beijing, China,Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, China
| | - Xu Ma
- Environmental and Spatial Epidemiology Research Center, National Human Genetic Resources Center, Beijing, China,National Research Institute for Family Planning, Beijing, China
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19
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Kingsley SL, Eliot MN, Glazer K, Awad YA, Schwartz JD, Savitz DA, Kelsey KT, Marsit CJ, Wellenius GA. Maternal ambient air pollution, preterm birth and markers of fetal growth in Rhode Island: results of a hospital-based linkage study. J Epidemiol Community Health 2017; 71:1131-1136. [PMID: 28947670 DOI: 10.1136/jech-2017-208963] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2017] [Revised: 09/12/2017] [Accepted: 09/13/2017] [Indexed: 01/28/2023]
Abstract
BACKGROUND Maternal exposure to ambient air pollution has been associated with higher risk of preterm birth and reduced fetal growth, but heterogeneity among prior studies suggests that additional studies are needed in diverse populations and settings. We examined the associations between maternal ambient air pollution levels, risk of preterm birth and markers of fetal growth in an urban population with relatively low exposure to air pollution. METHODS We linked 61 640 mother-infant pairs who delivered at a single hospital in Providence, Rhode Island, from 2002 to 2012 to birth certificate and hospital discharge data. We used spatial-temporal models and stationary monitors to estimate exposure to fine particulate matter (PM2.5) and black carbon (BC) during pregnancy. Using generalised linear models, we evaluated the association between pollutant levels, risk of preterm birth and markers of fetal growth. RESULTS In adjusted models, an IQR (2.5 µg/m3) increase in pregnancy-average PM2.5 was associated with ORs of preterm birth of 1.04 (95% CI 0.94 to 1.15) and 0.86 (0.76 to 0.98) when considering modelled and monitored PM2.5, respectively. An IQR increase in modelled and monitored PM2.5 was associated with a 12.1 g (95% CI -24.2 to -0.1) and 15.9 g (95% CI -31.6 to -0.3) lower birth weight. Results for BC were highly sensitive to choice of exposure metric. CONCLUSION In a population with relatively low exposures to ambient air pollutants, PM2.5 was associated with reduced birth weight but not with risk of preterm birth.
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Affiliation(s)
- Samantha L Kingsley
- Department of Epidemiology, Brown University School of Public Health, Providence, Rhode Island, USA
| | - Melissa N Eliot
- Department of Epidemiology, Brown University School of Public Health, Providence, Rhode Island, USA
| | - Kimberly Glazer
- Department of Epidemiology, Brown University School of Public Health, Providence, Rhode Island, USA
| | - Yara Abu Awad
- Department of Environmental Health, Harvard T H Chan School of Public Health, Boston, Massachusetts, USA
| | - Joel D Schwartz
- Department of Environmental Health, Harvard T H Chan School of Public Health, Boston, Massachusetts, USA
| | - David A Savitz
- Department of Epidemiology, Brown University School of Public Health, Providence, Rhode Island, USA
| | - Karl T Kelsey
- Department of Epidemiology, Brown University School of Public Health, Providence, Rhode Island, USA.,Department of Pathology and Laboratory Medicine, Brown University, Providence, Rhode Island, USA
| | - Carmen J Marsit
- Department of Environmental Health, Emory University School of Public Health, Atlanta, Georgia, USA
| | - Gregory A Wellenius
- Department of Epidemiology, Brown University School of Public Health, Providence, Rhode Island, USA
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20
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Ha S, Mendola P. Invited Commentary: Ambient Environment and the Risk of Preterm Birth. Am J Epidemiol 2017; 185:259-261. [PMID: 28087511 DOI: 10.1093/aje/kww138] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2016] [Accepted: 09/28/2016] [Indexed: 11/13/2022] Open
Abstract
Preterm birth is a common adverse birth outcome known to be associated with increased infant mortality, and it often results in a higher burden of offspring morbidity in both the short and long terms. The potential for environmental factors, particularly air pollution and meteorological parameters, to increase preterm birth risk has received significant attention worldwide, but the findings are generally inconsistent, with variations in study designs and methods across populations and geographic locations. In the current issue of the Journal, Giorgis-Allemand et al. (Am J Epidemiol. 2017;185(4):247-258) take the field a step further than most prior investigations of the ambient environment. They examined the associations of ambient air pollution and meteorological factors with preterm risk among 13 cohorts across 11 European countries. No association with air pollution was observed, but associations with increased preterm birth risk were found for both increased atmospheric pressure and ambient temperature exposures during the first trimester. The study is notable in attempting to address several important issues that challenge the field, including exposure misclassification and defining critical windows of exposure. Their comprehensive evaluation of ambient exposures is to be commended.
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Affiliation(s)
- Sandie Ha
- Biologics and Vaccines, Merck Sharp & Dohme, West Point, 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 Room 3119, Bethesda, USA
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