1
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Niu Z, Habre R, Yang T, Chen X, Vigil M, Barragan K, Lurmann F, Pavlovic NR, Grubbs BH, Toledo-Corral CM, Johnston J, Dunton GF, Lerner D, Lurvey N, Al-Marayati L, Eckel SP, Breton CV, Bastain TM, Farzan SF. Increased Risk of Gestational Hypertension by Periconceptional Exposure to Ambient Air Pollution and Effect Modification by Prenatal Depression. Hypertension 2024; 81:1285-1295. [PMID: 38533642 PMCID: PMC11096032 DOI: 10.1161/hypertensionaha.123.22272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Accepted: 03/17/2024] [Indexed: 03/28/2024]
Abstract
BACKGROUND Air pollution has been associated with gestational hypertension (GH) and preeclampsia, but susceptible windows of exposure and potential vulnerability by comorbidities, such as prenatal depression, remain unclear. METHODS We ascertained GH and preeclampsia cases in a prospective pregnancy cohort in Los Angeles, CA. Daily levels of ambient particulate matters (with a diameter of ≤10 μm [PM10] or ≤2.5 μm [PM2.5]), nitrogen dioxide, and ozone were averaged for each week from 12 weeks preconception to 20 gestational weeks. We used distributed lag models to identify susceptible exposure windows, adjusting for potential confounders. Analyses were additionally stratified by probable prenatal depression to explore population vulnerability. RESULTS Among 619 participants, 60 developed preeclampsia and 42 developed GH. We identified a susceptible window for exposure to PM2.5 from 1 week preconception to 11 weeks postconception: higher exposure (5 µg/m3) within this window was associated with an average of 8% (95% CI, 1%-15%) higher risk of GH. Among participants with probable prenatal depression (n=179; 32%), overlapping sensitive windows were observed for all pollutants from 8 weeks before to 10 weeks postconception with increased risk of GH (PM2.5, 16% [95% CI, 3%-31%]; PM10, 39% [95% CI, 13%-72%]; nitrogen dioxide, 65% [95% CI, 17%-134%]; and ozone, 45% [95% CI, 9%-93%]), while the associations were close to null among those without prenatal depression. Air pollutants were not associated with preeclampsia in any analyses. CONCLUSIONS We identified periconception through early pregnancy as a susceptible window of air pollution exposure with an increased risk of GH. Prenatal depression increases vulnerability to air pollution exposure and GH.
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Affiliation(s)
- Zhongzheng Niu
- Department of Population and Public Health Sciences, Keck School of Medicine (Z.N., R.H, T.Y., X.C., M.V., C.M.T.-C., J.J., G.F.D., S.P.E., C.V.B., T.M.B., S.F.F.), University of Southern California, Los Angeles
| | - Rima Habre
- Department of Population and Public Health Sciences, Keck School of Medicine (Z.N., R.H, T.Y., X.C., M.V., C.M.T.-C., J.J., G.F.D., S.P.E., C.V.B., T.M.B., S.F.F.), University of Southern California, Los Angeles
| | - Tingyu Yang
- Department of Population and Public Health Sciences, Keck School of Medicine (Z.N., R.H, T.Y., X.C., M.V., C.M.T.-C., J.J., G.F.D., S.P.E., C.V.B., T.M.B., S.F.F.), University of Southern California, Los Angeles
| | - Xinci Chen
- Department of Population and Public Health Sciences, Keck School of Medicine (Z.N., R.H, T.Y., X.C., M.V., C.M.T.-C., J.J., G.F.D., S.P.E., C.V.B., T.M.B., S.F.F.), University of Southern California, Los Angeles
| | - Mario Vigil
- Department of Population and Public Health Sciences, Keck School of Medicine (Z.N., R.H, T.Y., X.C., M.V., C.M.T.-C., J.J., G.F.D., S.P.E., C.V.B., T.M.B., S.F.F.), University of Southern California, Los Angeles
| | - Karina Barragan
- Department of Health Sciences, California State University, Northridge (K.B., C.M.T.-C.)
| | - Fred Lurmann
- Department of Population and Public Health Sciences, Keck School of Medicine (Z.N., R.H, T.Y., X.C., M.V., C.M.T.-C., J.J., G.F.D., S.P.E., C.V.B., T.M.B., S.F.F.), University of Southern California, Los Angeles
- Sonoma Technology, Inc, Petaluma, CA (F.L., N.R.P.)
| | | | - Brendan H Grubbs
- Department of Obstetrics and Gynecology (B.H.G., L.A.-M.), University of Southern California, Los Angeles
| | - Claudia M Toledo-Corral
- Department of Population and Public Health Sciences, Keck School of Medicine (Z.N., R.H, T.Y., X.C., M.V., C.M.T.-C., J.J., G.F.D., S.P.E., C.V.B., T.M.B., S.F.F.), University of Southern California, Los Angeles
- Department of Health Sciences, California State University, Northridge (K.B., C.M.T.-C.)
| | - Jill Johnston
- Department of Population and Public Health Sciences, Keck School of Medicine (Z.N., R.H, T.Y., X.C., M.V., C.M.T.-C., J.J., G.F.D., S.P.E., C.V.B., T.M.B., S.F.F.), University of Southern California, Los Angeles
| | - Genevieve F Dunton
- Department of Population and Public Health Sciences, Keck School of Medicine (Z.N., R.H, T.Y., X.C., M.V., C.M.T.-C., J.J., G.F.D., S.P.E., C.V.B., T.M.B., S.F.F.), University of Southern California, Los Angeles
| | | | | | - Laila Al-Marayati
- Department of Obstetrics and Gynecology (B.H.G., L.A.-M.), University of Southern California, Los Angeles
| | - Sandrah P Eckel
- Department of Population and Public Health Sciences, Keck School of Medicine (Z.N., R.H, T.Y., X.C., M.V., C.M.T.-C., J.J., G.F.D., S.P.E., C.V.B., T.M.B., S.F.F.), University of Southern California, Los Angeles
| | - Carrie V Breton
- Department of Population and Public Health Sciences, Keck School of Medicine (Z.N., R.H, T.Y., X.C., M.V., C.M.T.-C., J.J., G.F.D., S.P.E., C.V.B., T.M.B., S.F.F.), University of Southern California, Los Angeles
| | - Theresa M Bastain
- Department of Population and Public Health Sciences, Keck School of Medicine (Z.N., R.H, T.Y., X.C., M.V., C.M.T.-C., J.J., G.F.D., S.P.E., C.V.B., T.M.B., S.F.F.), University of Southern California, Los Angeles
| | - Shohreh F Farzan
- Department of Population and Public Health Sciences, Keck School of Medicine (Z.N., R.H, T.Y., X.C., M.V., C.M.T.-C., J.J., G.F.D., S.P.E., C.V.B., T.M.B., S.F.F.), University of Southern California, Los Angeles
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2
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Zhang X, Zhu S, Zhang F, Zhao G, Zhang X, Zhu W, Li D. Utilizing daily excessive concentration hours to estimate small for gestational age infants attributable to fine particulate matter in Wuhan, China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH 2024:1-12. [PMID: 38576314 DOI: 10.1080/09603123.2024.2337835] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Accepted: 03/28/2024] [Indexed: 04/06/2024]
Abstract
Limited studies in China have explored the association between gravidae exposure to PM2.5 and small for gestational age infants (SGA), yielding inconsistent results. This study in Wuhan utilized daily excessive concentration hours (DECH) as a novel measure to assess PM2.5's impact on SGA. Data on air pollutants and pregnant women were collected from the Wuhan Municipal Ecology and Environmental Bureau and Wuhan Children's Hospital, respectively. Logistic regression models were employed to evaluate the contribution of PM2.5-DECH and PM2.5-mean to SGA. Significant correlations were observed between PM2.5-mean and SGA during the second trimester [OR = 1.23 (95% CI: 1.14-1.32)] and the entire pregnancy [OR = 1.15 (95% CI: 1.07-1.24)]. Similar correlations were found between PM2.5-DECH and SGA. These findings suggest that increased PM2.5 exposure is associated with a higher risk of SGA, and DECH may be used as a prospective substitute indicator for daily average concentration in similar studies.
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Affiliation(s)
- Xiaowei Zhang
- Department of Occupational and Environmental Health, School of Public Health, Wuhan University, Wuhan, China
| | - Shijie Zhu
- Department of Occupational and Environmental Health, School of Public Health, Wuhan University, Wuhan, China
| | - Faxue Zhang
- Department of Occupational and Environmental Health, School of Public Health, Wuhan University, Wuhan, China
| | - Gaichan Zhao
- Department of Public Health, School of Public Health, Wuhan University, Wuhan, China
| | - Xupeng Zhang
- Department of Public Health, School of Public Health, Wuhan University, Wuhan, China
| | - Wei Zhu
- Department of Occupational and Environmental Health, School of Public Health, Wuhan University, Wuhan, China
| | - Dejia Li
- Department of Occupational and Environmental Health, School of Public Health, Wuhan University, Wuhan, China
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3
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Sun Y, Bhuyan R, Jiao A, Avila CC, Chiu VY, Slezak JM, Sacks DA, Molitor J, Benmarhnia T, Chen JC, Getahun D, Wu J. Association between particulate air pollution and hypertensive disorders in pregnancy: A retrospective cohort study. PLoS Med 2024; 21:e1004395. [PMID: 38669277 PMCID: PMC11087068 DOI: 10.1371/journal.pmed.1004395] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 05/10/2024] [Accepted: 04/04/2024] [Indexed: 04/28/2024] Open
Abstract
BACKGROUND Epidemiological findings regarding the association of particulate matter ≤2.5 μm (PM2.5) exposure with hypertensive disorders in pregnancy (HDP) are inconsistent; evidence for HDP risk related to PM2.5 components, mixture effects, and windows of susceptibility is limited. We aimed to investigate the relationships between HDP and exposure to PM2.5 during pregnancy. METHODS AND FINDINGS A large retrospective cohort study was conducted among mothers with singleton pregnancies in Kaiser Permanente Southern California from 2008 to 2017. HDP were defined by International Classification of Diseases-9/10 (ICD-9/10) diagnostic codes and were classified into 2 subcategories based on the severity of HDP: gestational hypertension (GH) and preeclampsia and eclampsia (PE-E). Monthly averages of PM2.5 total mass and its constituents (i.e., sulfate, nitrate, ammonium, organic matter, and black carbon) were estimated using outputs from a fine-resolution geoscience-derived model. Multilevel Cox proportional hazard models were used to fit single-pollutant models; quantile g-computation approach was applied to estimate the joint effect of PM2.5 constituents. The distributed lag model was applied to estimate the association between monthly PM2.5 exposure and HDP risk. This study included 386,361 participants (30.3 ± 6.1 years) with 4.8% (17,977/373,905) GH and 5.0% (19,381/386,361) PE-E cases, respectively. In single-pollutant models, we observed increased relative risks for PE-E associated with exposures to PM2.5 total mass [adjusted hazard ratio (HR) per interquartile range: 1.07, 95% confidence interval (CI) [1.04, 1.10] p < 0.001], black carbon [HR = 1.12 (95% CI [1.08, 1.16] p < 0.001)] and organic matter [HR = 1.06 (95% CI [1.03, 1.09] p < 0.001)], but not for GH. The population attributable fraction for PE-E corresponding to the standards of the US Environmental Protection Agency (9 μg/m3) was 6.37%. In multi-pollutant models, the PM2.5 mixture was associated with an increased relative risk of PE-E ([HR = 1.05 (95% CI [1.03, 1.07] p < 0.001)], simultaneous increase in PM2.5 constituents of interest by a quartile) and PM2.5 black carbon gave the greatest contribution of the overall mixture effects (71%) among all individual constituents. The susceptible window is the late first trimester and second trimester. Furthermore, the risks of PE-E associated with PM2.5 exposure were significantly higher among Hispanic and African American mothers and mothers who live in low- to middle-income neighborhoods (p < 0.05 for Cochran's Q test). Study limitations include potential exposure misclassification solely based on residential outdoor air pollution, misclassification of disease status defined by ICD codes, the date of diagnosis not reflecting the actual time of onset, and lack of information on potential covariates and unmeasured factors for HDP. CONCLUSIONS Our findings add to the literature on associations between air pollution exposure and HDP. To our knowledge, this is the first study reporting that specific air pollution components, mixture effects, and susceptible windows of PM2.5 may affect GH and PE-E differently.
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Affiliation(s)
- Yi Sun
- Institute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Department of Environmental and Occupational Health, Program in Public Health, University of California, Irvine, California, United States of America
| | - Rashmi Bhuyan
- Department of Environmental and Occupational Health, Program in Public Health, University of California, Irvine, California, United States of America
- Occupational and Environmental Medicine Residency Program, University of California, Irvine, California, United States of America
- Department of Occupational Medicine, Kaiser Permanente Northern California, Antioch, California, United States of America
| | - Anqi Jiao
- Department of Environmental and Occupational Health, Program in Public Health, University of California, Irvine, California, United States of America
| | - Chantal C. Avila
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, California, United States of America
| | - Vicki Y. Chiu
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, California, United States of America
| | - Jeff M. Slezak
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, California, United States of America
| | - David A. Sacks
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, California, United States of America
- Department of Obstetrics and Gynecology, University of Southern California, Keck School of Medicine, Los Angeles, California, United States of America
| | - John Molitor
- College of Public Health and Human Sciences, Oregon State University, Corvallis, Oregon, United States of America
| | - Tarik Benmarhnia
- Scripps Institution of Oceanography, University of California, San Diego, California, United States of America
| | - Jiu-Chiuan Chen
- Departments of Population & Public Health Sciences and Neurology, University of Southern California, Keck School of Medicine, Los Angeles, California, United States of America
| | - Darios Getahun
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, California, United States of America
- Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, California, United States of America
| | - Jun Wu
- Department of Environmental and Occupational Health, Program in Public Health, University of California, Irvine, California, United States of America
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4
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Abstract
Buildings, parks, and roads are all elements of the "built environment," which can be described as the human-made structures that comprise the neighborhoods and communities where people live, work, learn, and recreate (https://www.epa.gov/smm/basic-information-about-built-environment). The design of communities where children and adolescents live, learn, and play has a profound impact on their health. Moreover, the policies and practices that determine community design and the built environment are a root cause of disparities in the social determinants of health that contribute to health inequity. An understanding of the links between the built environment and pediatric health will help to inform pediatricians' and other pediatric health care professionals' care for patients and advocacy on their behalf. This policy statement outlines community design solutions that can improve pediatric physical and mental health, and improve health equity. It describes opportunities for pediatricians and the health care sector to incorporate this knowledge in patient care, as well as to play a role in advancing a health-promoting built environment for all children and families. The accompanying technical report reviews the range of pediatric physical and mental health conditions influenced by the built environment, as well as historical and persistent effects of the built environment on health disparities.
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Affiliation(s)
- Aparna Bole
- Department of Pediatrics, Case Western Reserve University School of Medicine, Cleveland, Ohio
| | - Aaron Bernstein
- Department of General Pediatrics, Boston Children's Hospital, and Center for Climate, Health and the Global Environment, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Michelle J White
- Department of Pediatrics, Duke University Medical Center, Durham, North Carolina
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5
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Wright KN, Melnyk AI, Emont J, Van Dis J. Sustainability in Obstetrics and Gynecology. Obstet Gynecol 2023; 142:1341-1346. [PMID: 37944151 DOI: 10.1097/aog.0000000000005435] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2023] [Accepted: 09/14/2023] [Indexed: 11/12/2023]
Abstract
Current practices in the U.S. health care industry drive climate change. This review summarizes the vast research on the negative health effects of the climate crisis on patients as relevant to obstetrics and gynecology. We further propose solutions to decarbonize operating rooms, labor and delivery units, and nurseries and neonatal intensive care units through evidence-based reduction in our single-use supply, energy, and water, as well as anesthetic gases and appropriate waste sorting.
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Affiliation(s)
- Kelly N Wright
- Division of Minimally Invasive Gynecologic Surgery, Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, California; the Division of Urogynecology and Pelvic Reconstructive Surgery, Department of Obstetrics, Gynecology, and Reproductive Sciences, Pittsburgh, Pennsylvania; and the Department of Obstetrics and Gynecology, Columbia University Medical Center, and NewYork-Presbyterian Hospital, New York, and the Department of Obstetrics and Gynecology, University of Rochester Medical Center, Rochester, New York
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6
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Jones SI, Pruszynski JE, Spong CY, Nelson DB. Traffic-related air pollution is associated with spontaneous extremely preterm birth and other adverse perinatal outcomes. Am J Obstet Gynecol 2023; 229:455.e1-455.e7. [PMID: 37516397 DOI: 10.1016/j.ajog.2023.07.040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Revised: 07/19/2023] [Accepted: 07/23/2023] [Indexed: 07/31/2023]
Abstract
BACKGROUND Although there is growing awareness of the relationship between air pollution and preterm birth, limited data exist regarding the relationship with spontaneous preterm birth and severe neonatal outcomes. OBJECTIVE This study aimed to examine the association between traffic-associated air pollution exposure in pregnancy and adverse perinatal outcomes including extremes of preterm birth, neonatal intensive care unit admissions, low birthweight, neonatal respiratory diagnosis, neonatal respiratory support, and neonatal sepsis evaluation. STUDY DESIGN This was a retrospective cohort study of singleton pregnancies of patients residing in a metropolitan area in the southern United States. Using monitors strategically located across the region, average nitrogen dioxide concentrations were obtained from the Environmental Protection Agency Air Quality System database. For patients living within 10 miles of a monitoring station, average exposure to nitrogen dioxide was estimated for individual patients' pregnancy by trimester. Logistic regression models were used to assess the effect of pollutant exposure on gestational age at birth, indicated vs spontaneous delivery, and neonatal outcomes while adjusting for maternal age, self-reported race, parity, season of conception, diabetes mellitus, body mass index, registered Health Equity Index, and nitrogen dioxide monitor region. Adjusted odds ratios and 95% confidence intervals were calculated for an interquartile increase in average nitrogen dioxide exposure. RESULTS Between January 1, 2013 and December 31, 2021, 93,164 patients delivered a singleton infant. Of these, 62,189 had measured nitrogen dioxide exposure during the pregnancy from a nearby monitoring station. Higher average nitrogen dioxide exposure throughout pregnancy was significantly associated with preterm birth (adjusted odds ratio, 1.94; 95% confidence interval, 1.77-2.12) and an increase in neonatal intensive care unit admissions, low birthweight infants, neonatal respiratory diagnosis, neonatal respiratory support, and neonatal sepsis evaluation. This relationship persisted for nulliparous patients and spontaneous preterm birth, and had a greater association with earlier preterm birth. CONCLUSION In a metropolitan area, increased exposure to the air pollutant nitrogen dioxide in pregnancy was associated with spontaneous preterm birth and had a greater association with extremely preterm birth. A greater association with neonatal intensive care unit admissions, low-birthweight infants, neonatal respiratory diagnosis, neonatal respiratory support, and neonatal sepsis evaluation was found even in term infants.
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Affiliation(s)
- Sara I Jones
- Department of Obstetrics and Gynecology, University of Texas Southwestern Medical Center, Dallas, TX.
| | - Jessica E Pruszynski
- Department of Obstetrics and Gynecology, University of Texas Southwestern Medical Center, Dallas, TX
| | - Catherine Y Spong
- Department of Obstetrics and Gynecology, University of Texas Southwestern Medical Center, Dallas, TX
| | - David B Nelson
- Department of Obstetrics and Gynecology, University of Texas Southwestern Medical Center, Dallas, TX
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7
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Meng Q, Liu J, Shen J, Del Rosario I, Lakey PS, Shiraiwa M, Su J, Weichenthal S, Zhu Y, Oroumiyeh F, Paulson SE, Jerrett M, Ritz B. Fine Particulate Matter Metal Composition, Oxidative Potential, and Adverse Birth Outcomes in Los Angeles. ENVIRONMENTAL HEALTH PERSPECTIVES 2023; 131:107012. [PMID: 37878796 PMCID: PMC10599636 DOI: 10.1289/ehp12196] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/24/2022] [Revised: 07/11/2023] [Accepted: 09/18/2023] [Indexed: 10/27/2023]
Abstract
BACKGROUND Although many studies have linked prenatal exposure to PM 2.5 to adverse birth outcomes, little is known about the effects of exposure to specific constituents of PM 2.5 or mechanisms that contribute to these outcomes. OBJECTIVES Our objective was to investigate effects of oxidative potential and PM 2.5 metal components from non-exhaust traffic emissions, such as brake and tire wear, on the risk of preterm birth (PTB) and term low birth weight (TLBW). METHODS For a birth cohort of 285,614 singletons born in Los Angeles County, California, in the period 2017-2019, we estimated speciated PM 2.5 exposures modeled from land use regression with cokriging, including brake and tire wear related metals (barium and zinc), black carbon, and three markers of oxidative potential (OP), including modeled reactive oxygen species based on measured iron and copper (ROS), OH formation (OP OH ), and dithiothreitol (DTT) loss (OP DTT ). Using logistic regression, we estimated odds ratios (OR) and 95% confidence intervals (CI) for PTB and TLBW with speciated PM 2.5 exposures and PM 2.5 mass as continuous variables scaled by their interquartile range (IQR). RESULTS For both metals and oxidative potential metrics, we estimated increased risks for PTB (ORs ranging from 1.01 to 1.03) and TLBW (ORs ranging from 1.02 to 1.05) per IQR exposure increment that were robust to adjustment for PM 2.5 mass. Associations for PM 2.5 mass, black carbon, metal components, and oxidative potential (especially ROS and OP OH ) with adverse birth outcomes were stronger in Hispanic, Black, and mixed-race or Native American women. DISCUSSION Our results indicate that exposure to PM 2.5 metals from brake and tire wear and particle components that contribute to oxidative potential were associated with an increased risk of PTB and TLBW in Los Angeles County, particularly among Hispanic, Black, and mixed-race or Native American women. Thus, reduction of PM 2.5 mass only may not be sufficient to protect the most vulnerable pregnant women and children from adverse effects due to traffic source exposures. https://doi.org/10.1289/EHP12196.
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Affiliation(s)
- Qi Meng
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles (UCLA), Los Angeles, California, USA
| | - Jonathan Liu
- Department of Environmental Health Sciences, Fielding School of Public Health, UCLA, Los Angeles, California, USA
| | - Jiaqi Shen
- Department of Atmospheric & Oceanic Sciences, UCLA, Los Angeles, California, USA
| | - Irish Del Rosario
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles (UCLA), Los Angeles, California, USA
| | - Pascale S.J. Lakey
- Department of Chemistry, University of California, Irvine, Irvine, California, USA
| | - Manabu Shiraiwa
- Department of Chemistry, University of California, Irvine, Irvine, California, USA
| | - Jason Su
- Environmental Health Sciences, School of Public Health, University of California, Berkeley, Berkeley, California, USA
| | - Scott Weichenthal
- Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, Quebec, Canada
| | - Yifang Zhu
- Department of Environmental Health Sciences, Fielding School of Public Health, UCLA, Los Angeles, California, USA
| | - Farzan Oroumiyeh
- Department of Environmental Health Sciences, Fielding School of Public Health, UCLA, Los Angeles, California, USA
| | - Suzanne E. Paulson
- Department of Atmospheric & Oceanic Sciences, UCLA, Los Angeles, California, USA
| | - Michael Jerrett
- Department of Environmental Health Sciences, Fielding School of Public Health, UCLA, Los Angeles, California, USA
| | - Beate Ritz
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles (UCLA), Los Angeles, California, USA
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8
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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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9
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Willis MD, Hill EL, Ncube CN, Campbell EJ, Harris L, Harleman M, Ritz B, Hystad P. Changes in Socioeconomic Disparities for Traffic-Related Air Pollution Exposure During Pregnancy Over a 20-Year Period in Texas. JAMA Netw Open 2023; 6:e2328012. [PMID: 37566419 PMCID: PMC10422188 DOI: 10.1001/jamanetworkopen.2023.28012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Accepted: 06/28/2023] [Indexed: 08/12/2023] Open
Abstract
Importance Air pollution presents clear environmental justice issues. However, few studies have specifically examined traffic-related air pollution (TRAP), a source driven by historically racist infrastructure policies, among pregnant individuals, a population susceptible to air pollution effects. How these disparities have changed over time is also unclear but has important policy implications. Objective To examine changes in TRAP exposure by sociodemographic characteristics among recorded pregnancies over a 20-year period. Design, Setting, and Participants This population-based birth cohort study used descriptive analysis among pregnant individuals in Texas from 1996 to 2016. All pregnant individuals with valid residential address, socioeconomic, and demographic data were included. Individual-level race and ethnicity, education, and maternal birthplace data were extracted from birth certificates and neighborhood-level household income and historical neighborhood disinvestment (ie, redlining) data were assessed via residential addresses. Data analysis occurred between June 2022 and June 2023. Main Outcomes and Measures The main outcome, TRAP exposure at residential addresses, was assessed via traffic levels, represented by total and truck-specific vehicle miles traveled (VMT) within 500 m; nitrogen dioxide (no2) concentrations from a spatial-temporal land use regression model (ie, vehicle tailpipe emissions); and National Air Toxic Agency cancer risk index from on-road vehicle emissions. TRAP exposure differences were assessed by sociodemographic indicators over the 1996 to 2016 period. Results Among 7 043 598 pregnant people (mean [SD] maternal age, 26.8 [6.1] years) in Texas from 1996 to 2016, 48% identified as Hispanic or Latinx, 4% identified as non-Hispanic Asian or Pacific Islander, 12% identified as non-Hispanic Black, and 36% identified as non-Hispanic White. There were differences in TRAP for pregnant people by all sociodemographic variables examined. The absolute level of these disparities decreased from 1996 to 2016, but the relative level of these disparities increased: for example, in 1996, non-Hispanic Black pregnant individuals were exposed to a mean (SD) 15.3 (4.1) ppb of no2 vs 13.5 (4.4) ppb of no2 for non-Hispanic White pregnant individuals, compared with 2016 levels of 6.7 (2.4) ppb no2 for Black pregnant individuals and 5.2 (2.4) ppb of no2 for White pregnant individuals. Large absolute and relative differences in traffic levels were observed for all sociodemographic characteristics, increasing over time. For example, non-Hispanic Black pregnant individuals were exposed to a mean (SD) of 22 836 (32 844) VMT within 500 m of their homes, compared with 12 478 (22 870) VMT within 500 m of the homes of non-Hispanic White pregnant individuals in 2016, a difference of 83%. Conclusions and Relevance This birth cohort study found that while levels of air pollution disparities decreased in absolute terms over the 20 years of the study, relative disparities persisted and large differences in traffic levels remained, requiring renewed policy attention.
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Affiliation(s)
- Mary D. Willis
- Department of Epidemiology, School of Public Health, Boston University, Boston, Massachusetts
| | - Elaine L. Hill
- Department of Public Health Sciences, School of Medicine and Dentistry, University of Rochester, Rochester, New York
| | - Collette N. Ncube
- Department of Epidemiology, School of Public Health, Boston University, Boston, Massachusetts
| | - Erin J. Campbell
- Department of Epidemiology, School of Public Health, Boston University, Boston, Massachusetts
| | - Lena Harris
- Department of Public Health Sciences, School of Medicine and Dentistry, University of Rochester, Rochester, New York
| | - Max Harleman
- Department of Government and Sociology, College of Arts and Sciences, Georgia College and State University, Milledgeville
| | - Beate Ritz
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles
| | - Perry Hystad
- School of Biological and Population Health Sciences, College of Public Health and Human Sciences, Oregon State University, Corvallis
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10
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Ruis M, Hoffman K, Stapleton HM. Brominated flame retardants and legacy organochlorines in archived human placenta samples: Sex differences, temporal analysis and associations with infant birth weight. CHEMOSPHERE 2023; 322:138170. [PMID: 36804493 PMCID: PMC10039416 DOI: 10.1016/j.chemosphere.2023.138170] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 02/14/2023] [Accepted: 02/15/2023] [Indexed: 06/18/2023]
Abstract
Perinatal exposure to persistent organic pollutants (POPs) has been suggested to play a role in the etiology of adverse pregnancy outcomes. This study evaluated temporal changes in the accumulation of several classes of POPs, including polybrominated diphenyl ethers (PBDEs), polychlorinated biphenyls (PCBs) and several organochlorine pesticides in human placenta and examined their associations with birth outcomes at delivery. Placental tissues (n = 99) previously collected and archived at the Duke University Medical Center from 2009 to 2015 were analyzed for 22 POPs using gas chromatography mass spectrometry. The mean age of mothers was 30.6 years; 8% of newborns were characterized as low birthweight (<2500 g). Of the 22 POPs targeted in the analysis, only p,p'-DDE, BDE-47 and BDE-100 were detected in more than 50% of the samples, with median concentrations of 0.110, 0.310, and 0.033 ng/g wet weight, respectively. Placental PBDE concentrations generally decreased over time, particularly BDE-47. Placental tissues associated with female infants had significantly higher levels of BDE-100 than placental tissues associated with male infants (p = 0.02) and a similar, but not statistically significant trend was observed for BDE-47 (p = 0.07). Multivariate regression models revealed that placental BDE-47 concentrations were associated with a significantly lower birthweight among male, but not female infants. A similar, although non-statistically significant, trend was observed for other POPs, further suggesting sex-specific associations between gestational exposure to POPs and birthweight.
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Affiliation(s)
- Matthew Ruis
- Nicholas School of the Environment, Levine Science Research Center, Duke University, Durham, NC, 27710, USA
| | - Kate Hoffman
- Nicholas School of the Environment, Levine Science Research Center, Duke University, Durham, NC, 27710, USA; Children's Health Discovery Initiative, Duke School of Medicine, North Carolina, United States
| | - Heather M Stapleton
- Nicholas School of the Environment, Levine Science Research Center, Duke University, Durham, NC, 27710, USA.
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11
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Downward GS, Vermeulen R. Ambient Air Pollution and All-Cause and Cause-Specific Mortality in an Analysis of Asian Cohorts. Res Rep Health Eff Inst 2023; 2016:1-53. [PMID: 37424069 PMCID: PMC7266370] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/11/2023] Open
Abstract
INTRODUCTION Much of what is currently known about the adverse effects of ambient air pollution comes from studies conducted in high-income regions, with relatively low air pollution levels. The aim of the current project is to examine the relationship between exposure to ambient air pollution (as predicted from satellite-based models) and all-cause and cause-specific mortality in several Asian cohorts. METHODS Cohorts were recruited from the Asia Cohort Consortium (ACC). The geocoded residences of participants were assigned levels of ambient particulate material with aerodynamic diameter of 2.5 μm or less (PM2.5) and nitrogen dioxide (NO2) utilizing global satellite-derived models and assigned for the year of enrollment (or closest available year). The association between ambient exposure and mortality was established with Cox proportional hazard models, after adjustment for common confounders. Both single- and two-pollutant models were generated. Model robustness was evaluated, and hazard ratios were calculated for each cohort separately and combined via random effect meta-analysis for pooled risk estimates. RESULTS Six cohort studies from the ACC participated: the Community-based Cancer Screening Program (CBCSCP, Taiwan), the Golestan Cohort Study (Iran), the Health Effects for Arsenic Longitudinal Study (HEALS, Bangladesh), the Japan Public Health Center-based Prospective Study (JPHC), the Korean Multi-center Cancer Cohort Study (KMCC), and the Mumbai Cohort Study (MCS, India). The cohorts represented over 340,000 participants. Mean exposures to PM2.5 ranged from 8 to 58 μg/m3. Mean exposures to NO2 ranged from 7 to 23 ppb. For PM2.5, a positive, borderline nonsignificant relationship was observed between PM2.5 and cardiovascular mortality. Other relationships with PM2.5 tended toward the null in meta-analysis. For NO2, an overall positive relationship was observed between exposure to NO2 and all cancers and lung cancer. A borderline association between NO2 and nonmalignant lung disease was also observed. The findings within individual cohorts remained consistent across a variety of subgroups and alternative analyses, including two-pollutant models. CONCLUSIONS In a pooled examination of cohort studies across Asia, ambient PM2.5 exposure appears to be associated with an increased risk of cardiovascular mortality and ambient NO2 exposure is associated with an increased cancer (and lung cancer) mortality. This project has shown that satellite-derived models of pollution can be used in examinations of mortality risk in areas with either incomplete or missing air pollution monitoring.
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Affiliation(s)
- G S Downward
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, the Netherlands
- Institute for Risk Assessment Sciences, Utrecht University, the Netherlands
| | - R Vermeulen
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, the Netherlands
- Institute for Risk Assessment Sciences, Utrecht University, the Netherlands
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12
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Li C, Xu JJ, Zhou FY, Ge YZ, Qin KZ, Huang HF, Wu YT. Effects of Particulate Matter on the Risk of Gestational Hypertensive Disorders and Their Progression. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023; 57:4930-4939. [PMID: 36913485 PMCID: PMC10061918 DOI: 10.1021/acs.est.2c06573] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Revised: 02/16/2023] [Accepted: 02/17/2023] [Indexed: 06/18/2023]
Abstract
Associations between particulate matter (PM) and gestational hypertensive disorders (GHDs) are well documented, but there is no evidence on the associations between PM and GHD progression, especially among those with assisted reproductive technology (ART) conceptions. To explore the effects of PM on the risk of GHDs and their progression among pregnant women with natural or ART conception, we enrolled 185,140 pregnant women during 2014-2020 in Shanghai and estimated the associations during different periods using multivariate logistic regression. During the 3 months of preconception, 10 μg/m3 increases in PM concentrations were associated with increased risks of gestational hypertension (GH) (PM2.5: aOR = 1.076, 95% CI: 1.034-1.120; PM10: aOR = 1.042, 95% CI: 1.006-1.079) and preeclampsia (PM2.5: aOR = 1.064, 95% CI: 1.008-1.122; PM10: aOR = 1.048, 95% CI: 1.006-1.092 ) among women with natural conception. Furthermore, for women with ART conceptions who suffered current GHD, 10 μg/m3 increases in PM concentrations in the third trimester elevated the risk of progression (PM2.5: aOR = 1.156, 95% CI: 1.022-1.306 ; PM10: aOR = 1.134, 95% CI: 1.013-1.270). In summary, women with natural conception should avoid preconceptional PM exposure to protect themselves from GH and preeclampsia. For women with ART conceptions suffering from GHD, it is necessary to avoid PM exposure in late pregnancy to prevent the disease from progressing.
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Affiliation(s)
- Cheng Li
- Obstetrics
and Gynecology Hospital, Institute of Reproduction and Development, Fudan University, Shanghai 200011, China
| | - Jing-Jing Xu
- Obstetrics
and Gynecology Hospital, Institute of Reproduction and Development, Fudan University, Shanghai 200011, China
| | - Fang-Yue Zhou
- International
Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200030, China
| | - Ying-Zhou Ge
- Obstetrics
and Gynecology Hospital, Institute of Reproduction and Development, Fudan University, Shanghai 200011, China
| | - Kai-Zhou Qin
- Obstetrics
and Gynecology Hospital, Institute of Reproduction and Development, Fudan University, Shanghai 200011, China
| | - He-Feng Huang
- Obstetrics
and Gynecology Hospital, Institute of Reproduction and Development, Fudan University, Shanghai 200011, China
- Research
Units of Embryo Original Diseases, Chinese
Academy of Medical Sciences, Shanghai 200011, China
- International
Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200030, China
| | - Yan-Ting Wu
- Obstetrics
and Gynecology Hospital, Institute of Reproduction and Development, Fudan University, Shanghai 200011, China
- Research
Units of Embryo Original Diseases, Chinese
Academy of Medical Sciences, Shanghai 200011, China
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13
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Developmental Programming in Animal Models: Critical Evidence of Current Environmental Negative Changes. Reprod Sci 2023; 30:442-463. [PMID: 35697921 PMCID: PMC9191883 DOI: 10.1007/s43032-022-00999-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Accepted: 06/02/2022] [Indexed: 11/23/2022]
Abstract
The Developmental Origins of Health and Disease (DOHaD) approach answers questions surrounding the early events suffered by the mother during reproductive stages that can either partially or permanently influence the developmental programming of children, predisposing them to be either healthy or exhibit negative health outcomes in adulthood. Globally, vulnerable populations tend to present high obesity rates, including among school-age children and women of reproductive age. In addition, adults suffer from high rates of diabetes, hypertension, cardiovascular, and other metabolic diseases. The increase in metabolic outcomes has been associated with the combination of maternal womb conditions and adult lifestyle-related factors such as malnutrition and obesity, smoking habits, and alcoholism. However, to date, "new environmental changes" have recently been considered negative factors of development, such as maternal sedentary lifestyle, lack of maternal attachment during lactation, overcrowding, smog, overurbanization, industrialization, noise pollution, and psychosocial stress experienced during the current SARS-CoV-2 pandemic. Therefore, it is important to recognize how all these factors impact offspring development during pregnancy and lactation, a period in which the subject cannot protect itself from these mechanisms. This review aims to introduce the importance of studying DOHaD, discuss classical programming studies, and address the importance of studying new emerging programming mechanisms, known as actual lifestyle factors, during pregnancy and lactation.
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14
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Zhang F, Zhang X, Zhong Y, Zhu S, Zhao G, Zhang X, Li T, Zhang Y, Zhu W. Joint Exposure to Ambient Air Pollutants Might Elevate the Risk of Small for Gestational Age (SGA) Infants in Wuhan: Evidence From a Cross-Sectional Study. Int J Public Health 2023; 67:1605391. [PMID: 36686387 PMCID: PMC9849243 DOI: 10.3389/ijph.2022.1605391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Accepted: 12/16/2022] [Indexed: 01/06/2023] Open
Abstract
Objective: To investigate the effect of exposure to multiple ambient air pollutants during pregnancy on the risk of children being born small for gestational age (SGA). Methods: An Air Pollution Score (APS) was constructed to assess the effects of being exposed to six air pollutants simultaneously, PM2.5, PM10, SO2, NO2, CO, and O3 (referred to as joint exposure). A logistic regression model was applied to estimate the associations of APS and SGA. Results: The adjusted odds ratios (ORs) of SGA per 10 ug/m3 increased in APS during the first and second trimesters and the entire pregnancy were 1.003 [95% confidence intervals (CIs): 1.000, 1.007], 1.018 (1.012, 1.025), and 1.020 (1.009, 1.031), respectively. The ORs of SGA for each 10 μg/m3 elevated in APS during the whole pregnancy were 1.025 (1.005, 1.046) for mothers aged over 35 years old vs. 1.018 (1.005, 1.031) for mothers aged under 35 years old. Women who were pregnant for the first time were more vulnerable to joint ambient air pollution. Conclusion: In summary, the results of the present study suggested that joint exposure to ambient air pollutants was associated with the increment in the risks of SGA.
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Affiliation(s)
- Faxue Zhang
- Department of Occupational and Environmental Health, School of Public Health, Wuhan University, Wuhan, China
| | - Xupeng Zhang
- Department of Public Health, School of Public Health, Wuhan University, Wuhan, China
| | - Yuanyuan Zhong
- Department of Obstetrics and Gynecology, Wuhan Children’s Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shijie Zhu
- Department of Occupational and Environmental Health, School of Public Health, Wuhan University, Wuhan, China
| | - Gaichan Zhao
- Department of Public Health, School of Public Health, Wuhan University, Wuhan, China
| | - Xiaowei Zhang
- Department of Occupational and Environmental Health, School of Public Health, Wuhan University, Wuhan, China
| | - Tianzhou Li
- Department of Occupational and Environmental Health, School of Public Health, Wuhan University, Wuhan, China
| | - Yan Zhang
- Department of Obstetrics and Gynecology, Wuhan Children’s Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China,*Correspondence: Yan Zhang, ; Wei Zhu,
| | - Wei Zhu
- Department of Occupational and Environmental Health, School of Public Health, Wuhan University, Wuhan, China,*Correspondence: Yan Zhang, ; Wei Zhu,
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15
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Dressel I, Demetillo MA, Judd LM, Janz SJ, Fields KP, Sun K, Fiore AM, McDonald BC, Pusede SE. Daily Satellite Observations of Nitrogen Dioxide Air Pollution Inequality in New York City, New York and Newark, New Jersey: Evaluation and Application. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2022; 56:15298-15311. [PMID: 36224708 PMCID: PMC9670852 DOI: 10.1021/acs.est.2c02828] [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] [Indexed: 05/09/2023]
Abstract
Urban air pollution disproportionately harms communities of color and low-income communities in the U.S. Intraurban nitrogen dioxide (NO2) inequalities can be observed from space using the TROPOspheric Monitoring Instrument (TROPOMI). Past research has relied on time-averaged measurements, limiting our understanding of how neighborhood-level NO2 inequalities co-vary with urban air quality and climate. Here, we use fine-scale (250 m × 250 m) airborne NO2 remote sensing to demonstrate that daily TROPOMI observations resolve a major portion of census tract-scale NO2 inequalities in the New York City-Newark urbanized area. Spatiotemporally coincident TROPOMI and airborne inequalities are well correlated (r = 0.82-0.97), with slopes of 0.82-1.05 for relative and 0.76-0.96 for absolute inequalities for different groups. We calculate daily TROPOMI NO2 inequalities over May 2018-September 2021, reporting disparities of 25-38% with race, ethnicity, and/or household income. Mean daily inequalities agree with results based on TROPOMI measurements oversampled to 0.01° × 0.01° to within associated uncertainties. Individual and mean daily TROPOMI NO2 inequalities are largely insensitive to pixel size, at least when pixels are smaller than ∼60 km2, but are sensitive to low observational coverage. We statistically analyze daily NO2 inequalities, presenting empirical evidence of the systematic overburdening of communities of color and low-income neighborhoods with polluting sources, regulatory ozone co-benefits, and worsened NO2 inequalities and cumulative NO2 and urban heat burdens with climate change.
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Affiliation(s)
- Isabella
M. Dressel
- Department
of Environmental Sciences, University of
Virginia, Charlottesville, Virginia 22904, United States
| | - Mary Angelique
G. Demetillo
- Department
of Environmental Sciences, University of
Virginia, Charlottesville, Virginia 22904, United States
| | - Laura M. Judd
- NASA
Langley Research Center, Hampton, Virginia 23681, United States
| | - Scott J. Janz
- NASA
Goddard Space Flight Center, Greenbelt, Maryland 20771, United States
| | - Kimberly P. Fields
- Carter
G. Woodson Institute for African American and African Studies, University of Virginia, Charlottesville, Virginia 22904, United States
| | - Kang Sun
- Department
of Civil, Structural and Environmental Engineering, University at Buffalo, Buffalo, New York 14260, United States
- Research
and Education in eNergy, Environment and Water (RENEW) Institute, University at Buffalo, Buffalo, New York 14260, United States
| | - Arlene M. Fiore
- Department
of Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States
| | - Brian C. McDonald
- Chemical
Sciences Laboratory, NOAA Earth System Research
Laboratories, Boulder, Colorado 80305, United
States
| | - Sally E. Pusede
- Department
of Environmental Sciences, University of
Virginia, Charlottesville, Virginia 22904, United States
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16
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Traffic Noise and Ambient Air Pollution Are Risk Factorsfor Preeclampsia. J Clin Med 2022; 11:jcm11154552. [PMID: 35956166 PMCID: PMC9369709 DOI: 10.3390/jcm11154552] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Revised: 07/20/2022] [Accepted: 08/03/2022] [Indexed: 12/04/2022] Open
Abstract
Purpose: We aimed to evaluate the effect of traffic-related noise (TRN), environmental noise (EN) and traffic-related air pollution (TRAP) on preeclampsia. Methods: We followed 285 pregnant women from Maternal and Child Health Clinics who reported exposure to TRN on a scale from 0 (absence of EN) to 10 (high level of EN). EN was measured using a portable dosimeter, and NOx was calculated using the AERMOD pollutant dispersion model. Results: Using a multiple logistic regression model, adjusted for maternal age, BMI, number of births, fetal sex and maternal chronic illness, TRN (score ≥ 6 vs. score < 6) and TRAP (NOx ≥ 300 µ/m3 vs. NOx < 300 µ/m3) were noted as independent risk factors for preeclampsia, with OR = 3.07 (95% CI 0.97; 9.70, p = 0.056) and OR = 3.43 (95% CI 1.20; 9.87, p = 0.022), respectively. Joint exposure to TRN and TRAP was associated with a significant and independent risk for preeclampsia (OR of 4.11 (95% CI 1.31; 12.94, p = 0.016). Conclusions: In our population, traffic-related noise and ambient TRAP were risk factors for preeclampsia.
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17
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Yan M, Liu N, Fan Y, Ma L, Guan T. Associations of pregnancy complications with ambient air pollution in China. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2022; 241:113727. [PMID: 35679731 DOI: 10.1016/j.ecoenv.2022.113727] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Revised: 05/22/2022] [Accepted: 05/30/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Gestational hypertension (GH), preeclampsia (PE), and gestational diabetes mellitus (GDM) are common pregnancy complications and can result in maternal and prenatal morbidity and mortality. Air pollution exposure could adversely impact pregnancy complications; however, evidence remains limited in China, where ambient air pollution is relatively severe. OBJECTIVE This study aims to examine the associations of GH, PE, and GDM with exposure to six air pollutants (PM2.5, PM10, SO2, NO2, O3, and CO) during pregnancy. METHODS Leveraging a multicenter birth cohort study among pregnant women in 24 hospitals from 15 provinces in China, we obtained data for maternal characteristics and pregnancy outcomes. We generated ambient concentrations of the six air pollutants using a combination of chemical transport model simulations with monitoring data. We used multivariable logistic regression models to estimate the effects on pregnancy complications from exposure to six air pollutants in each trimester and the entire pregnancy. RESULTS Among the total 3754 pregnant women in this study, the prevalences of GH, GDM, and PE were 2.6 %, 11.2 %, and 0.7 %, respectively. GH risk increased 11.9 % (95 % CI, -8.5 %, 36.8 %) and 13.8 % (1.4 %, 27.8 %) per 10 μg/m3 increases in PM2.5 and PM10 in the entire pregnancy, respectively. PM2.5 and PM10 exposures in the first trimester were significantly associated with an increased risk of GDM. Exposure to O3, SO2, NO2, and CO in early pregnancy could be associated with GDM risk. Geographic region and season of conception may influence the associations of GH and PE with air pollution. CONCLUSIONS Ambient particulate matter pollution adversely affects GH, GDM, and PE among Chinese pregnant women. Since most regions of China still suffer from hazardous levels of air pollution, our findings indicate importance of better protecting pregnant women from the risk of air pollution.
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Affiliation(s)
- Meilin Yan
- School of Ecology and Environment, Beijing Technology and Business University, Beijing, China
| | - Nana Liu
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Science, Beijing 100730, China
| | - Yunfei Fan
- China National Environmental Monitoring Centre, Beijing 100012, China
| | - Liangkun Ma
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Science, Beijing 100730, China.
| | - Tianjia Guan
- School of Health Policy and Management, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 10073, China.
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18
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Gogna P, Villeneuve PJ, Borghese MM, King WD. An exposure-response meta-analysis of ambient PM 2.5 during pregnancy and preeclampsia. ENVIRONMENTAL RESEARCH 2022; 210:112934. [PMID: 35150719 DOI: 10.1016/j.envres.2022.112934] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Revised: 02/07/2022] [Accepted: 02/07/2022] [Indexed: 06/14/2023]
Abstract
Relationships between PM2.5 exposure and preeclampsia have been the focus of four recent systematic reviews and meta-analyses. We expand on knowledge gaps in these reviews by characterizing the shape of the exposure-outcome relationship, and by assessing the heterogeneity in these associations by study characteristics. Studies of PM2.5 and preeclampsia were identified from reviews, and confounder-adjusted estimates were extracted. Estimates were derived using a random-effects model. Potential non-linearity was evaluated using a one-stage dose-response meta-analysis. Contrary to previous meta-analyses reporting stronger relationships, the overall adjusted relative risk (RR) for a 10 μg/m3 average increase in PM2.5 during pregnancy and preeclampsia was modest and not statistically significant (RR: 1.07, 95% CI: 0.99-1.15). This was mainly attributable to inclusion/exclusion decisions for studies made during this review. In addition, there was no evidence of non-linearity, and no important sub-group differences by characteristics such as region, exposure assessment, participant exclusions, and early versus late-onset preeclampsia. Overall, our analysis suggests a modest relationship between ambient PM2.5 and preeclampsia. We provide details on inclusion and exclusion decisions that were lacking in previous studies, and report novel investigations of non-linearity and heterogeneity.
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Affiliation(s)
- Priyanka Gogna
- Department of Public Health Sciences, Queen's University, Kingston, Ontario, Canada.
| | - Paul J Villeneuve
- School of Mathematics and Statistics, Carleton University, Ottawa, Ontario, Canada
| | - Michael M Borghese
- Department of Public Health Sciences, Queen's University, Kingston, Ontario, Canada; Environmental Health Science and Research Bureau, Health Canada, Ottawa, Ontario, Canada
| | - Will D King
- Department of Public Health Sciences, Queen's University, Kingston, Ontario, Canada
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19
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Xiao P, Wang L, Yao Y, Chang Y, Hou J. Exposure to Ambient Air Pollutant PM 10 in the Second Trimester of Pregnancy Is Associated with Preterm Birth: A Birth-Based Health Information Cohort Study. BIOMED RESEARCH INTERNATIONAL 2022; 2022:1008538. [PMID: 35782076 PMCID: PMC9242815 DOI: 10.1155/2022/1008538] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Revised: 05/25/2022] [Accepted: 05/27/2022] [Indexed: 11/18/2022]
Abstract
Objectives We evaluated the effects of exposure to high concentrations of particulate matter (PM)10 on preterm birth (PTB) and identified a critical concentration of PM10 that could lead to PTB via a birth-based health information cohort study. Methods We conducted a birth-based cohort study consisting of nonanomalous singleton births at 22-42 weeks. PTB was defined as babies born alive before 37 weeks of pregnancy. Pregnancy period exposure averages were estimated for PM10 based on the China National Environmental Monitoring Centre (CNEMC). Pregnant women who lived within 50 km of the monitor station were recruited into this study. Logistic regression analyses were performed to determine the association between PTB and exposure to PM10 at different pregnancy periods with adjustment for confounding factors. Results The relative frequency of PTB was 8.7% in the study cohort of 5,291 singleton live births. A total of 1137 women had a high level of PM10 exposure (≥60 μg/m3) in the second trimester of pregnancy. The average concentrations of PM10 in the first, second, and third trimesters of pregnancy and throughout pregnancy were 53.8 μg/m3, 54.2 μg/m3, 55.6 μg/m3, and 54.3 μg/m3, respectively. The generalized additive model (GAM) analysis showed that there was a nonlinear correlation between PM10 and PTB in the second trimester of pregnancy (P < 0.001). The adjusted odds ratio between PTB and low concentration PM10 exposure (PM10 < 60 μg/m3) in the second trimester of pregnancy was 1.01 (95% CI 0.95-1.05). However, high PM10 exposure (PM10 ≥ 60 μg/m3) in the second trimester of pregnancy had an increased PTB risk even after adjustment for coexisting risk factors with an adjusted odds ratio of 1.78 (95% CI 1.69-1.87), and the incidence of PTB increased with an increase in PM10 exposure. Conclusions Our research discovered that exposure to high levels of PM10 increases the risk of PTB and the second trimester is the most vulnerable gestational period to ambient air pollution exposure. PM10 concentrations more than 60 μg/m3 are detrimental to pregnant women in their second trimester. This study has implications for health informatics-oriented healthcare decision support systems.
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Affiliation(s)
- Pengying Xiao
- Clinical Research Center of Kunming Maternal and Child Health Hospital, Kunming 650031, China
| | - Lijun Wang
- Clinical Research Center of Kunming Maternal and Child Health Hospital, Kunming 650031, China
| | - Yingjie Yao
- Clinical Research Center of Kunming Maternal and Child Health Hospital, Kunming 650031, China
| | - Yu Chang
- Clinical Research Center of Kunming Maternal and Child Health Hospital, Kunming 650031, China
| | - Jianghou Hou
- Clinical Research Center of Kunming Maternal and Child Health Hospital, Kunming 650031, China
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He Y, Jiang Y, Yang Y, Xu J, Zhang Y, Wang Q, Shen H, Zhang Y, Yan D, Peng Z, Liu C, Wang W, Schikowski T, Li H, Yan B, Ji JS, Chen A, van Donkelaar A, Martin R, Chen R, Kan H, Cai J, Ma X. Composition of fine particulate matter and risk of preterm birth: A nationwide birth cohort study in 336 Chinese cities. JOURNAL OF HAZARDOUS MATERIALS 2022; 425:127645. [PMID: 34920912 DOI: 10.1016/j.jhazmat.2021.127645] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Revised: 08/10/2021] [Accepted: 10/27/2021] [Indexed: 06/14/2023]
Abstract
BACKGROUND Potential hazards of fine particulate matter (PM2.5) constituents on preterm birth (PTB) have rarely been explored in China. OBJECTIVE To quantify the associations of PM2.5 constituents with PTB. METHODS This study was based on a nationwide cohort of 3,723,169 live singleton births delivered between January 2010 and December 2015 in China. We applied satellite-based estimates of 5 PM2.5 constituents (organic carbon; black carbon; sulfate; ammonium; and nitrate). We used Cox proportional hazards regression models adjusted for individual covariates, temperature, humidity, and seasonality to evaluate the associations. RESULTS During the entire pregnancy, each interquartile range (29 μg/m3) increase in PM2.5 concentrations was associated with a 7% increase in PTB risk [hazard ratio (HR): 1.07; 95% confidence interval (CI): 1.07-1.08). We observed the largest effect estimates on carbonaceous components (HR: 1.09; 95% CI: 1.08-1.10 for organic carbon and black carbon). Early pregnancy appeared to be the critical exposure window for most constituents. Women who were older, exposed to second-hand smoke, overweight or obese before pregnancy, conceived during winter, and living in northern China or rural areas were more susceptible. CONCLUSIONS Carbonaceous components of PM2.5 were associated with higher PTB risk. Findings on characteristics of vulnerability underlined targeted protections on susceptible subgroups.
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Affiliation(s)
- Yuan He
- National Research Institute for Health and Family Planning, Beijing, China; National Human Genetic Resources Center, Beijing, China
| | - Yixuan Jiang
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China
| | - Ying Yang
- National Research Institute for Health and Family Planning, Beijing, China
| | - Jihong Xu
- National Research Institute for Health and Family Planning, Beijing, China
| | - Ya Zhang
- National Research Institute for Health and Family Planning, Beijing, China
| | - Qiaomei Wang
- Department of Maternal and Child Health, National Health Commission of the People's Republic of China, Beijing, China
| | - Haiping Shen
- National Research Institute for Health and Family Planning, Beijing, China
| | - Yiping Zhang
- Department of Maternal and Child Health, National Health Commission of the People's Republic of China, Beijing, China
| | - Donghai Yan
- Department of Maternal and Child Health, National Health Commission of the People's Republic of China, Beijing, China
| | - Zuoqi Peng
- National Research Institute for Health and Family Planning, Beijing, China
| | - Cong Liu
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China
| | - Weidong Wang
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China
| | - Tamara Schikowski
- Leibniz Research Institute for Environmental Medicine, Düsseldorf, Germany
| | - Huichu Li
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Beizhan Yan
- Division of Geochemistry, Lamont-Doherty Earth Observatory of Columbia University, Palisades, New York, USA
| | - John S Ji
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Aimin Chen
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, 423 Guardian Drive, Philadelphia, PA, USA
| | - Aaron van Donkelaar
- Department of Physics and Atmospheric Science, Dalhousie University, Halifax, NS, Canada; Department of Energy, Environmental & Chemical Engineering, Washington University in St. Louis, St. Louis, MO, USA
| | - Randall Martin
- Department of Physics and Atmospheric Science, Dalhousie University, Halifax, NS, Canada; Department of Energy, Environmental & Chemical Engineering, Washington University in St. Louis, St. Louis, MO, USA
| | - Renjie Chen
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China
| | - Haidong Kan
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China; Children's Hospital of Fudan University, National Center for Children's Health, Shanghai 201102, China
| | - Jing Cai
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China.
| | - Xu Ma
- National Research Institute for Health and Family Planning, Beijing, China; National Human Genetic Resources Center, Beijing, China.
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Liang Z, Zhao L, Qiu J, Zhu X, Jiang M, Liu G, Zhao Q. PM 2.5 exposure increases the risk of preterm birth in pre-pregnancy impaired fasting glucose women: A cohort study in a Southern province of China. ENVIRONMENTAL RESEARCH 2022; 204:112403. [PMID: 34800533 DOI: 10.1016/j.envres.2021.112403] [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: 07/18/2021] [Revised: 11/14/2021] [Accepted: 11/15/2021] [Indexed: 06/13/2023]
Abstract
Previous studies have indicated maternal exposure to particles with aerodynamic diameter <2.5 μm (PM2.5) is associated with preterm birth (PTB). However, no study has investigated this effect in pre-pregnancy impaired fasting glucose (IFG) women. This study aimed to differentiate the effects of maternal PM2.5 exposure on PTB between pre-pregnancy IFG and normoglycemia women, and to further identify the susceptible window. This cohort study was conducted between January 2014 and December 2017 in 21 Chinese cities. All the recruited women received pre-pregnancy fasting serum glucose (FSG) tests and were followed up for their delivery outcomes. The PM2.5 exposures were estimated by the daily air pollution concentrations of the nearby monitors. Women with FSG below 7.0 mmol/L were included in the analysis. We employed the Cox proportional hazards models to examine whether PM2.5 exposure was associated with PTB. 237957 women were included and 7055 (3.0%) of them were pre-pregnancy IFG. During the entire pregnancy, we found 24.1% (HR = 1.241; 95% CI: 1.069, 1.439), 61.8% (HR = 1.618; 95% CI: 1.311, 1.997) and 18.6% (HR = 1.186; 95% CI: 1.004, 1.402) of increases in risk for all PTB, early PTB (20-33 gestational weeks) and late PTB (34-36 gestational weeks) among the pre-pregnancy IFG women, and 15.9% (HR = 1.159; 95% CI: 1.127, 1.192), 33.9% (HR = 1.339; 95% CI: 1.255, 1.430) and 13.2% (HR = 1.132; 95% CI: 1.098, 1.168) of increases in risk for all PTB, early PTB and late PTB among the normoglycemia women, with each 10 μg/m3 increment of PM2.5 exposure, respectively. Furthermore, PM2.5 exposure had the strongest effect on all PTB during trimester 1 (0-12 gestational weeks) among the pre-pregnancy IFG women, compared with the less strong effect during trimester 1 among the normoglycemia women. In conclusion, pre-pregnancy IFG increases the risk of PTB attributed to PM2.5, especially during trimester 1. Moreover, the effects of PM2.5 are greater on early PTB than late PTB for both pre-pregnancy IFG and normoglycemia women.
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Affiliation(s)
- Zhijiang Liang
- Department of Public Health, Guangdong Women and Children Hospital, 521 Xingnan Road, Panyu District, Guangzhou, 511442, China
| | - Lina Zhao
- Department of Obstetrics, Guangdong Women and Children Hospital, 521 Xingnan Road, Panyu District, Guangzhou, 511442, China
| | - Jialing Qiu
- Department of Public Health, Guangdong Women and Children Hospital, 521 Xingnan Road, Panyu District, Guangzhou, 511442, China
| | - Xinhong Zhu
- Department of Public Health, Guangdong Women and Children Hospital, 521 Xingnan Road, Panyu District, Guangzhou, 511442, China
| | - Min Jiang
- Guangdong Institute of Family Planning Science and Technology, 17th Meidong Road, Yuexiu District, Guangzhou, 510245, China; Guangdong Province Fertility Hospital, 17th Meidong Road, Yuexiu District, Guangzhou, 510245, China; National Health Committee of China (NHCC) Key Laboratory of Male Reproduction and Genetics, 17th Meidong Road, Yuexiu District, Guangzhou, 510245, China
| | - Guocheng Liu
- Department of Obstetrics, Guangdong Women and Children Hospital, 521 Xingnan Road, Panyu District, Guangzhou, 511442, China.
| | - Qingguo Zhao
- Guangdong Institute of Family Planning Science and Technology, 17th Meidong Road, Yuexiu District, Guangzhou, 510245, China; Guangdong Province Fertility Hospital, 17th Meidong Road, Yuexiu District, Guangzhou, 510245, China; National Health Committee of China (NHCC) Key Laboratory of Male Reproduction and Genetics, 17th Meidong Road, Yuexiu District, Guangzhou, 510245, China.
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22
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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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23
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Hviid A, Laksafoss A, Hedley P, Lausten-Thomsen U, Hjalgrim H, Christiansen M, Olsen SF. Assessment of Seasonality and Extremely Preterm Birth in Denmark. JAMA Netw Open 2022; 5:e2145800. [PMID: 35113166 PMCID: PMC8814911 DOI: 10.1001/jamanetworkopen.2021.45800] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
IMPORTANCE Preterm birth, particularly extremely preterm birth, has been associated with substantial morbidity and mortality. Research during SARS-CoV-2-related lockdowns revealed reductions in the more severe subtypes of preterm birth in some countries, suggesting the presence of preventable risk factors, such as infectious diseases or social behavior. Seasonality may provide a similar means of assessing natural changes in the daily life of pregnant individuals that were similar to those experienced during the COVID-19 lockdown period. OBJECTIVE To evaluate the association between seasonality and extremely preterm birth. DESIGN, SETTING, AND PARTICIPANTS This nationwide cohort study included 1 136 143 pregnancies in Denmark with onset between January 1, 1997, and December 31, 2016, in which the fetuses survived 21 completed weeks of gestation. Pregnancies were followed up until preterm birth, fetal death, or 37 completed weeks of gestation. Data were analyzed from September 2020 to September 2021. EXPOSURES Season during gestation (primary exposure) and season of pregnancy onset. MAIN OUTCOMES AND MEASURES The main outcome of extremely preterm birth was defined as a live birth occurring between 22 weeks, 0 days' gestation and 27 weeks, 6 days' gestation. Cox regression analyses were used to estimate hazard ratios (HRs) for season during gestation and season of pregnancy onset, with adjustment for socioeconomic and demographic factors. RESULTS Among 662 338 pregnant individuals, the median age at pregnancy onset was 30.0 years (IQR, 6.0 years). Of 1 136 143 pregnancies, 2009 extremely preterm births (cumulative incidence, 0.18%) were identified during follow-up. Season during gestation was associated with extremely preterm birth, with cumulative incidences of 0.17% (95% CI, 0.16%-0.19%) in spring, 0.18% (95% CI, 0.17%-0.20%) in summer, 0.20% (95% CI, 0.18%-0.21%) in autumn, and 0.16% (95% CI, 0.14%-0.17%) in winter. Compared with winter, the adjusted HRs (AHRs) for the risk of extremely preterm birth were 1.11 (95% CI, 0.97-1.26) for spring, 1.15 (95% CI, 1.02-1.31) for summer, and 1.25 (95% CI, 1.10-1.42) for autumn. The number of extremely preterm births associated with the increased risk in the spring, summer, and autumn was 56.1 (95% CI, 18.2-99.7), representing 2.8% (95% CI, 0.9%-5.0%) of all extremely preterm births in the study. Season of pregnancy onset was not associated with the risk of extremely preterm birth in spring (AHR, 0.98; 95% CI, 0.95-1.01) or summer (AHR, 1.00; 95% CI, 0.96-1.03) compared with winter, but a slight increase in risk was observed in autumn (AHR, 1.05; 95% CI, 1.02-1.09) compared with winter. CONCLUSIONS AND RELEVANCE In this large, national cohort study, seasonality was associated with 2.8% of all extremely preterm births. Season during gestation was associated with the rate of extremely preterm birth, suggesting the presence of potential risk factors associated with season that may be preventable. Further research to identify risk factors for extremely preterm birth associated with seasonality is warranted.
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Affiliation(s)
- Anders Hviid
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark
- Pharmacovigilance Research Center, Department of Drug Design and Pharmacology, University of Copenhagen, Copenhagen, Denmark
| | - Anna Laksafoss
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark
| | - Paula Hedley
- Department for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
| | - Ulrik Lausten-Thomsen
- Department of Neonatology, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
| | - Henrik Hjalgrim
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark
- The Danish Cancer Society, Copenhagen, Denmark
- Department of Haematology, Rigshospitalet, Copenhagen, Denmark
- Institute of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Michael Christiansen
- Department for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
- Institute of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Sjurdur Frodi Olsen
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark
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24
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do Nascimento FP, de Almeida MF, Gouveia N. Individual and contextual socioeconomic status as effect modifier in the air pollution-birth outcome association. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 803:149790. [PMID: 34481165 DOI: 10.1016/j.scitotenv.2021.149790] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Revised: 08/14/2021] [Accepted: 08/16/2021] [Indexed: 06/13/2023]
Abstract
BACKGROUND Several studies have examined whether air pollution is associated with adverse births outcomes, but it is not clear if socioeconomic status (SES) modifies this relationship. OBJECTIVES We investigated if maternal education and area-level socioeconomic status modified the relationship between ozone, nitrogen dioxide and particulate matter with aerodynamic diameter <10 μm (PM10) on preterm births (PTB; gestational age <37 weeks) and term low birth weight (TLBW; weight < 2500 g on term deliveries). METHODS Analyses were based on almost 1 million singleton live births in São Paulo municipality between 2011 and 2016. The final sample included 979,306 births for PTB analysis and 888,133 for TLBW analysis. Exposure to PM10, NO2 and O3 were based on date of birth and estimated for the entire gestation and for each trimester. Multilevel logistic regression models were conducted to examine the effect of air pollutants on both adverse birth outcomes and whether it was modified by individual and area-level SES. RESULTS In fully adjusted models, over the entire pregnancy, a 10 μg/m3 increase in O3 and PM10 was associated with increased chance of PTB (odds ratio; OR = 1.14 CI 1.13, 1.16 and 1.08 CI = 1.02, 1.15 respectively) and PM10 with TLBW (OR = 1.08 CI 1.03, 1.14). Associations were modified by maternal educational and area-level SES for both outcomes. Mothers of lower education had an additional chance of PTB and TLBW due to PM10 exposure (OR = 1.04 CI 1.04, 1.05 and 1.10 CI 1.08, 1.14 respectively), while mothers living in low SES areas have an additional chance for TLBW (OR = 1.05 CI 1.03, 1.06). Similar modification effects were found for O3 exposure. Trimester specific associations were weaker but followed a similar pattern. CONCLUSION Socioeconomic status modifies the effect of air pollution on adverse birth outcomes. Results indicate that mothers with lower SES may be more susceptible to air pollution effects.
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Affiliation(s)
| | | | - Nelson Gouveia
- Department of Preventive Medicine, School of Medicine FMUSP, University of São Paulo, SP, Brazil
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25
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Ritz B, Yan Q, He D, Wu J, Walker DI, Uppal K, Jones DP, Heck JE. Child serum metabolome and traffic-related air pollution exposure in pregnancy. ENVIRONMENTAL RESEARCH 2022; 203:111907. [PMID: 34419469 PMCID: PMC8926017 DOI: 10.1016/j.envres.2021.111907] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Revised: 08/05/2021] [Accepted: 08/10/2021] [Indexed: 05/08/2023]
Abstract
BACKGROUND Maternal exposure to traffic-related air pollution during pregnancy has been shown to increase the risk of adverse birth outcomes and childhood disorders. High-resolution metabolomics (HRM) has previously been employed to identify metabolic responses to traffic-related air pollution in adults, including pregnant women. Thus far, no studies have examined metabolic effects of air pollution exposure in utero on neonates. METHODS We retrieved stored neonatal blood spots for 241 children born in California between 1998 and 2007. These children were randomly selected from all California birth rolls to serve as birth-year matched controls for children with retinoblastoma identified from the California cancer registry for a case control study of childhood cancer. We estimated prenatal traffic-related air pollution exposure (particulate matter less than 2.5 μm (PM2.5)) during the third-trimester using the California Line Source Dispersion Model, version 4 (CALINE4) based on residential addresses recorded at birth. We employed untargeted HRM to obtain metabolic profiles, and metabolites associated with air pollution exposure were identified using partial least squares (PLS) regression and linear regressions. Biological effects were characterized using pathway enrichment analyses adjusting for potential confounders including maternal age, race/ethnicity, and education. RESULTS In total we extracted 4038 and 4957 metabolite features from neonatal blood spots in hydrophilic interaction (HILIC) chromatography (positive ion mode) and C18 reverse phase columns (negative ion mode), respectively. After controlling for confounding factors, partial least square regression (Variable Importance in Projection (VIP) ≥ 2) selected 402 HILIC positive and 182 C18 negative features as statistically significantly associated with increasing third trimester PM2.5 exposure. Using pathway enrichment analysis, we identified metabolites in oxidative stress and inflammation pathways as being altered, primarily involving lipid metabolism. CONCLUSION The metabolite features and pathways associated with air pollution exposure in neonates suggest that maternal exposure during late pregnancy contributes to oxidative stress and inflammation in newborn children.
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Affiliation(s)
- Beate Ritz
- Department of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA, USA; Department of Neurology, UCLA School of Medicine, CA, USA.
| | - Qi Yan
- Department of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA, USA
| | - Di He
- Department of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA, USA
| | - Jun Wu
- Program in Public Health, UCI Susan and Henry Samueli College of Health Sciences, Irvine, CA, USA
| | - Douglas I Walker
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Karan Uppal
- Clinical Biomarkers Laboratory, Division of Pulmonary, Allergy, and Critical Care Medicine, School of Medicine, Emory University, Atlanta, GA, USA
| | - Dean P Jones
- Clinical Biomarkers Laboratory, Division of Pulmonary, Allergy, and Critical Care Medicine, School of Medicine, Emory University, Atlanta, GA, USA; Department of Medicine, Emory University, Atlanta, GA, USA
| | - Julia E Heck
- College of Health and Public Service, University of North Texas, Denton, TX, USA
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Spatially and Temporally Resolved Ambient PM 2.5 in Relation to Preterm Birth. TOXICS 2021; 9:toxics9120352. [PMID: 34941786 PMCID: PMC8708619 DOI: 10.3390/toxics9120352] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Revised: 12/02/2021] [Accepted: 12/10/2021] [Indexed: 12/25/2022]
Abstract
Growing evidence suggests that maternal exposure to ambient fine particulate matter (PM2.5) during pregnancy is associated with preterm birth; however, few studies have examined critical windows of exposure, which can help elucidate underlying biologic mechanisms and inform public health messaging for limiting exposure. Participants included 891 mother-newborn pairs enrolled in a U.S.-based pregnancy cohort study. Daily residential PM2.5 concentrations at a 1 × 1 km2 resolution were estimated using a satellite-based hybrid model. Gestational age at birth was abstracted from electronic medical records and preterm birth (PTB) was defined as <37 completed weeks of gestation. We used Critical Window Variable Selection to examine weekly PM2.5 exposure in relation to the odds of PTB and examined sex-specific associations using stratified models. The mean ± standard deviation PM2.5 level averaged across pregnancy was 8.13 ± 1.10 µg/m3. PM2.5 exposure was not associated with an increased odds of PTB during any gestational week. In sex-stratified models, we observed a marginal increase in the odds of PTB with exposure occurring during gestational week 16 among female infants only. This study does not provide strong evidence supporting an association between weekly exposure to PM2.5 and preterm birth.
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Goin DE, Sudat S, Riddell C, Morello-Frosch R, Apte JS, Glymour MM, Karasek D, Casey JA. Hyperlocalized Measures of Air Pollution and Preeclampsia in Oakland, California. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2021; 55:14710-14719. [PMID: 34648281 PMCID: PMC8968652 DOI: 10.1021/acs.est.1c02151] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Exposure to nitrogen dioxide (NO2), black carbon (BC), and ultrafine particles (UFPs) during pregnancy may increase the risk of preeclampsia, but previous studies have not assessed hyperlocalized differences in pollutant levels, which may cause exposure misclassification. We used data from Google Street View cars with mobile air monitors that repeatedly sampled NO2, BC, and UFPs every 30 m in Downtown and West Oakland neighborhoods during 2015-2017. Data were linked to electronic health records of pregnant women in the 2014-2016 Sutter Health population, who resided within 120 m of monitoring data (N = 1095), to identify preeclampsia cases. We used G-computation with log-binomial regression to estimate risk differences (RDs) associated with a hypothetical intervention reducing pollutant levels to the 25th percentile observed in our sample on preeclampsia risk, overall and stratified by race/ethnicity. Prevalence of preeclampsia was 6.8%. Median (interquartile range) levels of NO2, BC, and UFPs were 10.8 ppb (9.0, 13.0), 0.34 μg/m3 (0.27, 0.42), and 29.2 # × 103/cm3 (26.6, 32.6), respectively. Changes in the risk of preeclampsia achievable by limiting each pollutant to the 25th percentile were NO2 RD = -1.5 per 100 women (95% confidence interval (CI): -2.5, -0.5); BC RD = -1.0 (95% CI: -2.2, 0.02); and UFP RD = -0.5 (95% CI: -1.8, 0.7). Estimated effects were the largest for non-Latina Black mothers: NO2 RD = -2.8 (95% CI: -5.2, -0.3) and BC RD = -3.0 (95% CI: -6.4, 0.4).
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Affiliation(s)
- Dana E. Goin
- Program on Reproductive Health and the Environment, Department of Obstetrics, Gynecology, and Reproductive Sciences, School of Medicine, University of California, San Francisco, San Francisco, California, 94158, United States of America
| | - Sylvia Sudat
- Research, Development and Dissemination, Sutter Health, Walnut Creek, California, 94596, United States of America
| | - Corinne Riddell
- Division of Biostatistics, School of Public Health, University of California, Berkeley, Berkeley, California, 94720, United States of America
- Division of Epidemiology, School of Public Health, University of California, Berkeley, Berkeley, California, 94720, United States of America
| | - Rachel Morello-Frosch
- Department of Environmental Science, Policy, and Management & School of Public Health, University of California, Berkeley, Berkeley, California, 94720, United States of America
| | - Joshua S. Apte
- Department of Civil and Environmental Engineering & School of Public Health, University of California, Berkeley, Berkeley, California, 94720, United States of America
| | - M. Maria Glymour
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, 94158, United States of America
| | - Deborah Karasek
- Preterm Birth Initiative, Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, San Francisco, California, 94158, United States of America
| | - Joan A. Casey
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York, 10032, United States of America
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Ju L, Li C, Yang M, Sun S, Zhang Q, Cao J, Ding R. Maternal air pollution exposure increases the risk of preterm birth: Evidence from the meta-analysis of cohort studies. ENVIRONMENTAL RESEARCH 2021; 202:111654. [PMID: 34252430 DOI: 10.1016/j.envres.2021.111654] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Revised: 06/19/2021] [Accepted: 07/03/2021] [Indexed: 06/13/2023]
Abstract
Preterm birth (PTB), a major public health impact, has been shown to be associated with prenatal air pollution exposure, but the results are still inconsistent. This meta-analysis was performed to quantitatively evaluate the correlation between maternal air pollutant exposure and PTB, and provide evidence of higher grade to help improving the pregnancy outcomes. Databases including Web of Science and PubMed were searched to retrieve eligible studies published up to October 2020. The quality of the articles was assessed by the Newcastle-Ottawa Quality Score (NOS), after which the pooled estimate of the effect was calculated. The robustness of the joint estimates was confirmed by sensitivity analysis of excluded studies one by one, and the sources of heterogeneity were discussed by stratification analysis. Egger's and Begg's tests were performed to examine publication bias. Sixty studies that met the eligible criteria were finally included in this study. The findings showed combined relative risks of 1.032-1.070 for PTB, 0.859-1.081 for moderate PTB, 1.119-1.194 for very PTB and 1.128-1.259 for extremely PTB when mothers were exposed to PM2.5, PM10, NO2, O3, SO2, CO and NOx during pregnancy, while the sensitive windows varied for different air pollutants. Notably, PM2.5 exposure in only the 2nd trimester, NO2 exposure in only the 3rd trimester, and O3 exposure in all three trimesters were positively associated with PTB, while NO2 exposure in the 1st trimester was negatively associated with PTB. In addition, exposure of PM2.5 and PM10 in the 2nd trimester was positively associated with moderate PTB, and in the 1st and 2nd trimesters were positively associated with very PTB. These findings demonstrated that PM2.5, PM10, O3, NO2 were associated with PTB (including moderate PTB, very PTB, and/or extremely PTB), while NOx was not, and the relationship between CO and SO2 and PTB was not stable.
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Affiliation(s)
- Liangliang Ju
- Department of Occupational Health and Environmental Health, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China.
| | - Changlian Li
- Department of Occupational Health and Environmental Health, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China.
| | - Mei Yang
- Department of Occupational Health and Environmental Health, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China.
| | - Shu Sun
- Department of Occupational Health and Environmental Health, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China.
| | - Qi Zhang
- Department of Occupational Health and Environmental Health, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China.
| | - Jiyu Cao
- Department of Occupational Health and Environmental Health, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China; Department of Teaching Center for Preventive Medicine, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China.
| | - Rui Ding
- Department of Occupational Health and Environmental Health, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China.
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Particulate matter and hypertensive disorders in pregnancy: systematic review and meta-analysis. Public Health 2021; 200:22-32. [PMID: 34653738 DOI: 10.1016/j.puhe.2021.08.013] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2021] [Revised: 08/18/2021] [Accepted: 08/18/2021] [Indexed: 01/14/2023]
Abstract
OBJECTIVES We aimed to quantitatively synthesize the association between maternal exposure to particulate matter (PM; including PM <2.5 μm and PM <10 μm) and hypertensive disorders in pregnancy (HDP; including gestational hypertension [GH] and pre-eclampsia) and to explore the influence of certain factors on the outcome. STUDY DESIGN Meta-analysis was used to quantitatively synthesize the results of similar independent studies. METHODS Original documents were identified by searching six electronic bibliographic databases from their inceptions to August 17, 2021. Then we performed meta-analysis to combine the effect estimates if at least three estimates reported the same exposure and outcome and used stratified analysis to evaluate the impact of exposure assessment method, data source, and study area on heterogeneity. In addition, we used the 95% prediction interval to evaluate the potential effects of exposure in random effects meta-analysis. RESULTS The overall meta-analysis showed that the risk of HDP was significantly associated with per 5 μg/m3 increase in PM2.5 exposure during T1 and PM10 exposure during T, with odds ratios [ORs] 1.06 (95% confidence interval [CI]: 1.01-1.12) and 1.04 (95% CI: 1.02-1.07), respectively. The results also showed that PM2.5 exposure during T1 and T2 and PM10 exposure during T1 increased the incidence of GH; the summary ORs were 1.11 (95% CI: 1.01-1.23), 1.16 (95% CI: 1.05-1.29), and 1.04 (95% CI: 1.02-1.07), respectively. Subgroup analyses showed that the pooled effects were generally significant or more apparent in studies using models to assess exposure, studies whose data derived from birth registers, and studies in Europe. CONCLUSIONS This meta-analysis showed that PM exposure was associated with increased HDP risks, and the association varied by study area, data source, and exposure assessment method. With the continuous improvement of research design and exposure assessment, future research may find higher risks.
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Liew Z, Yuan Y, Meng Q, von Ehrenstein OS, Cui X, Flores MES, Ritz B. Prenatal Exposure to Acetaminophen and Childhood Asthmatic Symptoms in a Population-Based Cohort in Los Angeles, California. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:10107. [PMID: 34639411 PMCID: PMC8507827 DOI: 10.3390/ijerph181910107] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/22/2021] [Revised: 09/21/2021] [Accepted: 09/23/2021] [Indexed: 02/05/2023]
Abstract
Acetaminophen is the most common over-the-counter pain and fever medication used by pregnant women. While European studies suggest acetaminophen exposure in pregnancy could affect childhood asthma development, findings are less consistent in other populations. We evaluated whether maternal prenatal acetaminophen use is associated with childhood asthmatic symptoms (asthma diagnosis, wheeze, dry cough) in a Los Angeles cohort of 1201 singleton births. We estimated risk ratio (RR) and 95% confidence interval (CI) for childhood asthmatic outcomes according to prenatal acetaminophen exposure. Effect modification by maternal race/ethnicity and psychosocial stress during pregnancy was evaluated. The risks for asthma diagnosis (RR = 1.39, 95% CI 0.96, 2.00), wheezing (RR = 1.25, 95% CI 1.01, 1.54) and dry cough (RR =1.35, 95% CI 1.06, 1.73) were higher in children born to mothers who ever used acetaminophen during pregnancy compared with non-users. Black/African American and Asian/Pacific Islander children showed a greater than two-fold risk for asthma diagnosis and wheezing associated with the exposure. High maternal psychosocial stress also modified the exposure-outcome relationships. Acetaminophen exposure during pregnancy was associated with childhood asthmatic symptoms among vulnerable subgroups in this cohort. A larger study that assessed prenatal acetaminophen exposure with other social/environmental stressors and clinically confirmed outcomes is needed.
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Affiliation(s)
- Zeyan Liew
- Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT 06510, USA
- Yale Center for Perinatal, Pediatric, and Environmental Epidemiology, Yale School of Public Health, New Haven, CT 06510, USA
| | - Yuying Yuan
- Department of Epidemiology, Fielding School of Public Health, UCLA, Los Angeles, CA 90095, USA; (Y.Y.); (Q.M.); (O.S.v.E.); (B.R.)
| | - Qi Meng
- Department of Epidemiology, Fielding School of Public Health, UCLA, Los Angeles, CA 90095, USA; (Y.Y.); (Q.M.); (O.S.v.E.); (B.R.)
| | - Ondine S. von Ehrenstein
- Department of Epidemiology, Fielding School of Public Health, UCLA, Los Angeles, CA 90095, USA; (Y.Y.); (Q.M.); (O.S.v.E.); (B.R.)
- Department of Community Health Sciences, Fielding School of Public Health, UCLA, Los Angeles, CA 90095, USA
| | - Xin Cui
- Perinatal Epidemiology and Health Outcomes Research Unit, Division of Neonatology, Department of Pediatrics, School of Medicine and Lucile Packard Children’s Hospital, Stanford University, Palo Alto, CA 94304, USA;
- California Perinatal Quality Care Collaborative, Palo Alto, CA 94305, USA
| | | | - Beate Ritz
- Department of Epidemiology, Fielding School of Public Health, UCLA, Los Angeles, CA 90095, USA; (Y.Y.); (Q.M.); (O.S.v.E.); (B.R.)
- Department of Neurology, Geffen School of Medicine, UCLA, Los Angeles, CA 90095, USA
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Stanhope KK, Adeyemi DI, Li T, Johnson T, Boulet SL. The relationship between the neighborhood built and social environment and hypertensive disorders of pregnancy: A scoping review. Ann Epidemiol 2021; 64:67-75. [PMID: 34547447 DOI: 10.1016/j.annepidem.2021.09.005] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Revised: 09/03/2021] [Accepted: 09/12/2021] [Indexed: 10/20/2022]
Abstract
BACKGROUND Theory and limited empirical research suggest that the neighborhood environment influences maternal health outcomes. The goal of this scoping review is to summarize extant research considering the impact of the built and social environment of resident neighborhood on hypertensive disorders of pregnancy (HDP) globally. METHODS We performed a systematic search of the literature using four databases, PubMed, Web of Science, CINAHL, and Embase on July 15, 2020. We excluded articles not in English, that did not consider one or more HDP as a primary or secondary outcome, and that did not include an element of the neighborhood built or social environment as an exposure. We applied a modified version of the Effective Public Health Practice Project Quality Assessment Tool for Quantitative Studies to evaluate quality of included studies. RESULTS Our search identified 11,385 unique abstracts for screening. Following exclusions, we included 64 articles in the final review. The majority of articles measured an element of the built environment (70.3% (44)), most commonly traffic-related air pollution (42.2% (27)). A third of articles (31.3% (20)) considered an element of the neighborhood social environment, most commonly neighborhood deprivation (10.9% (7)). Global quality ratings were mostly moderate (29.7% (19)) or weak (68.8% (44)), primarily due to inattention to neighborhood-level confounding. CONCLUSION Critical gaps remain in understanding how the resident neighborhood may impact HDP. Future research should focus on designing high-quality studies incorporating elements of both the built and social environment to holistically understand how context may impact maternal health.
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Affiliation(s)
- Kaitlyn K Stanhope
- Department of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, GA,.
| | - Deborah I Adeyemi
- Department of Epidemiology, Rollin School of Public Health, Emory University, Atlanta, GA
| | - Tanya Li
- Emory College of Arts and Sciences, Emory University, Atlanta, GA
| | | | - Sheree L Boulet
- Department of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, GA
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Tiako MJN, McCarthy C, Meisel ZF, Elovitz MA, Burris HH, South E. Association between Low Urban Neighborhood Greenness and Hypertensive Disorders of Pregnancy. Am J Perinatol 2021:10.1055/s-0041-1733786. [PMID: 34450673 PMCID: PMC8882207 DOI: 10.1055/s-0041-1733786] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
OBJECTIVE Urban neighborhood greenness is associated with greater cardiovascular health in the general population, and with better pregnancy and neonatal outcomes. Hypertension in pregnancy is a leading cause of maternal mortality and long-term cardiovascular morbidity and mortality in women. We sought to examine the association between greenness and hypertensive disorders of pregnancy. STUDY DESIGN This study is a secondary analysis of a prospective cohort study of 1,943 women who received prenatal care from December 2013 to December 2016 at a single, urban, and tertiary academic medical center in Philadelphia, PA. Greenness measure was quantified via residential tree canopy cover within circumferential buffers of 100- and 500-meter radii around participants' homes. Associations between greenness and hypertensive disorders of pregnancy (defined as gestational hypertension or preeclampsia) were estimated by using multilevel logistic regression accounting for maternal sociodemographic information (race-ethnicity, insurance status, and age) medical history (diabetes, body mass index, smoking history, and parity), neighborhood deprivation index, and including 1,225 Philadelphia residents for whom key exposure and outcome data were available. RESULTS At baseline, the participants' mean (SD) age was 27.5 (5.9) years, (range: 14-44 years). The majority of participants were non-Hispanic Black (857, 70.2%). Participants with less residential tree canopy cover were significantly more likely to have hypertensive disorders of pregnancy. The multivariable-adjusted odds ratio of hypertensive disorders of pregnancy among participants with less than 10% compared with those with greater than 30% tree canopy cover was 2.14 (95% confidence interval [CI]: 1.11-4.15) within 100-meter buffer. CONCLUSION In our cohort, greenness was associated with lower hypertensive disorders of pregnancy odds. Our findings add to evidence that greenness may confer health benefits and warrant further investigations in identifying whether there is a causal pathway through which greenness may be protective against hypertensive disorders of pregnancy. KEY POINTS · Low residential tree canopy is associated with increased risk of hypertensive disorders of pregnancy. · 100-meter buffers are most sensitive in identifying associations between tree canopy and HDP risk. · The role of greenness against hypertensive disorders of pregnancy should be further studied experimentally.
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Affiliation(s)
- Max Jordan Nguemeni Tiako
- Department of Emergency Medicine, Center for Emergency Care and Policy Research, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA,Urban Health Lab, University of Pennsylvania Perelman School of Medicine, Philadelphia PA,Yale School of Medicine, New Haven, CT
| | - Clare McCarthy
- Maternal and Child Health Research Center, Department of Obstetrics and Gynecology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Zachary F. Meisel
- Department of Emergency Medicine, Center for Emergency Care and Policy Research, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA,Leonard Davis Institute of Health Economics, Wharton School of the University of Pennsylvania, PA
| | - Michal A. Elovitz
- Maternal and Child Health Research Center, Department of Obstetrics and Gynecology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Heather H. Burris
- Maternal and Child Health Research Center, Department of Obstetrics and Gynecology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA,Department of Pediatrics, Children’s Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Eugenia South
- Department of Emergency Medicine, Center for Emergency Care and Policy Research, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA,Urban Health Lab, University of Pennsylvania Perelman School of Medicine, Philadelphia PA,Leonard Davis Institute of Health Economics, Wharton School of the University of Pennsylvania, PA
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Li S, Peng L, Wu X, Xu G, Cheng P, Hao J, Huang Z, Xu M, Chen S, Zhang C, Hao J. Long-term impact of ambient air pollution on preterm birth in Xuzhou, China: a time series study. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:41039-41050. [PMID: 33772720 DOI: 10.1007/s11356-021-13621-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Accepted: 03/18/2021] [Indexed: 06/12/2023]
Abstract
Accumulating evidence witnesses the negative influence of air pollution on human health, but the relationship between air pollution and premature babies has been inconsistent. In this study, the association between weekly average concentration of air pollutants and preterm birth (PTB) was conducted in Xuzhou, a heavy industry city, in China. We constructed a distributed lag non-linear model (DLNM), an ecological study, to access the associations between ambient air pollutants and PTB in this study. Totally, 5408 premature babies were included, and the weekly average levels of PM2.5, PM10, SO2, NO2, O3, and CO were 61.24, 110.21, 22.55, 40.55, 104.45, and 1.04 mg/m3, respectively. We found that PM2.5, PM10, SO2, and NO2 significantly increased the risk of PTB, and the susceptibility windows of these contaminants were the second trimester and third trimester (from 12 to 29 weeks). Every 10 μg/m3 increase of PM2.5, PM10, SO2, and NO2, the greatest relative risk (RR) values and 95% confidence interval (CI) on PTB were 1.0075 [95% CI, 1.0019-1.0131], 1.0053 [95% CI, 1.0014-1.0092], 1.0203 [95% CI, 1.0030-1.0379], and 1.0170 [95% CI, 1.0052-1.0289] in lag 16th, 18th, 19th, and 20th gestational weeks, respectively. No significant influence of O3 and CO were found on preterm birth. Subgroup analysis showed that the risk of premature delivery was higher for younger pregnant women and in warm season. This finding shows that prenatal exposure to ambient air pollutants is associated with preterm birth, and there existed an exposure window period.
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Affiliation(s)
- Sha Li
- Department of Maternal Child and Adolescent Health, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Lei Peng
- Xuzhou Maternal and Child Health Family Planning Service Center, 46 Heping Road, Xuzhou, 221000, Jiangsu, China
| | - Xiaochang Wu
- Department of Maternal Child and Adolescent Health, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Geng Xu
- Xuzhou Maternal and Child Health Family Planning Service Center, 46 Heping Road, Xuzhou, 221000, Jiangsu, China
| | - Peng Cheng
- Department of Maternal Child and Adolescent Health, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Jingwen Hao
- Department of Maternal Child and Adolescent Health, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Zhaohui Huang
- Department of Maternal Child and Adolescent Health, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
- Anhui Provincial Center for Woman and Child Health, No. 38 Gongwan Road, Hefei, 230001, Anhui, China
| | - Meng Xu
- Xuzhou Center for Disease Prevention and Control, Xuzhou, 221000, China
| | - Shuting Chen
- Yunlong District Maternal and Child Health Family Planning Service Center, Xuzhou, China
| | - Chao Zhang
- Department of Maternal Child and Adolescent Health, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China.
| | - Jiahu Hao
- Department of Maternal Child and Adolescent Health, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China.
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Dutta A, Alexander D, Karrison T, Morhasson-Bello O, Wilson N, Atalabi OM, Adu D, Ibigbami T, Adekunle S, Adepoju D, Olamijulo J, Akinwunmi O, Afolabi OS, Deji-Abiodun O, Adedokun B, Aschebrook-Kilfoy B, Ojengbede O, Olopade CO. Household air pollution, ultrasound measurement, fetal biometric parameters and intrauterine growth restriction. Environ Health 2021; 20:74. [PMID: 34187482 PMCID: PMC8243629 DOI: 10.1186/s12940-021-00756-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Accepted: 06/07/2021] [Indexed: 05/10/2023]
Abstract
BACKGROUND Low birthweight, intrauterine growth restriction (IUGR) and perinatal mortality have been associated with air pollution. However, intervention studies that use ultrasound measurements to assess the effects of household air pollution (HAP) on fetal biometric parameters (FBP) are rare. We investigated the effect of a cookstove intervention on FBP and IUGR in a randomized controlled trial (RCT) cohort of HAP-exposed pregnant Nigerian women. METHODS We recruited 324 women early in the second trimester of pregnancy. Between 16 and 18 weeks, we randomized them to either continue cooking with firewood/kerosene (control group) or receive a CleanCook stove and ethanol fuel (intervention group). We measured fetal biparietal diameter (BPD), head circumference (HC), femur length (FL), abdominal circumference (AC) and ultrasound-estimated fetal weight (U-EFW) in the second and third trimesters. The women were clinically followed up at six regular time points during their pregnancies. Once during the women's second trimester and once during the third, we made 72-h continuous measurements of their personal exposures to particulate matter having aerodynamic diameter < 2.5 μm (PM2.5). We adopted a modified intent-to-treat approach for the analysis. Differences between the intervention and control groups on impact of HAP on fetal growth trajectories were analyzed using mixed effects regression models. RESULTS There were no significant differences in fetal growth trajectories between the intervention and control groups. CONCLUSIONS Larger studies in a setting of low ambient air pollution are required to further investigate the effect of transitioning to a cleaner fuel such as ethanol on intrauterine growth. TRIAL REGISTRATION ClinicalTrials.gov NCT02394574 ; September 2012.
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Affiliation(s)
- Anindita Dutta
- Department of Medicine and Center for Global Health, University of Chicago, Chicago, USA
| | - Donee Alexander
- Department of Medicine and Center for Global Health, University of Chicago, Chicago, USA
| | - Theodore Karrison
- Department of Public Health Sciences, University of Chicago, Chicago, USA
| | | | - Nathaniel Wilson
- Pritzker School of Medicine, University of Chicago, Chicago, USA
| | | | - Damilola Adu
- Healthy Life for All Foundation, House 38, University College Hospital, Ibadan, Nigeria
| | - Tope Ibigbami
- Healthy Life for All Foundation, House 38, University College Hospital, Ibadan, Nigeria
| | - Samuel Adekunle
- Healthy Life for All Foundation, House 38, University College Hospital, Ibadan, Nigeria
| | - Dayo Adepoju
- Healthy Life for All Foundation, House 38, University College Hospital, Ibadan, Nigeria
| | - John Olamijulo
- Healthy Life for All Foundation, House 38, University College Hospital, Ibadan, Nigeria
| | | | | | | | - Babatunde Adedokun
- Department of Medicine and Center for Global Health, University of Chicago, Chicago, USA
| | | | - Oladosu Ojengbede
- Department of Obstetrics and Gynecology, University of Ibadan, Ibadan, Nigeria
| | - Christopher O. Olopade
- Department of Medicine and Center for Global Health, University of Chicago, Chicago, USA
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Yu Q, Zhang L, Hou K, Li J, Liu S, Huang K, Cheng Y. Relationship between Air Pollutant Exposure and Gynecologic Cancer Risk. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:5353. [PMID: 34069801 PMCID: PMC8157305 DOI: 10.3390/ijerph18105353] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/08/2021] [Revised: 05/11/2021] [Accepted: 05/12/2021] [Indexed: 11/16/2022]
Abstract
Exposure to air pollution has been suggested to be associated with an increased risk of women's health disorders. However, it remains unknown to what extent changes in ambient air pollution affect gynecological cancer. In our case-control study, the logistic regression model was combined with the restricted cubic spline to examine the association of short-term exposure to air pollution with gynecological cancer events using the clinical data of 35,989 women in Beijing from December 2008 to December 2017. We assessed the women's exposure to air pollutants using the monitor located nearest to each woman's residence and working places, adjusting for age, occupation, ambient temperature, and ambient humidity. The adjusted odds ratios (ORs) were examined to evaluate gynecologic cancer risk in six time windows (Phase 1-Phase 6) of women's exposure to air pollutants (PM2.5, CO, O3, and SO2) and the highest ORs were found in Phase 4 (240 days). Then, the higher adjusted ORs were found associated with the increased concentrations of each pollutant (PM2.5, CO, O3, and SO2) in Phase 4. For instance, the adjusted OR of gynecological cancer risk for a 1.0-mg m-3 increase in CO exposures was 1.010 (95% CI: 0.881-1.139) below 0.8 mg m-3, 1.032 (95% CI: 0.871-1.194) at 0.8-1.0 mg m-3, 1.059 (95% CI: 0.973-1.145) at 1.0-1.4 mg m-3, and 1.120 (95% CI: 0.993-1.246) above 1.4 mg m-3. The ORs calculated in different air pollution levels accessed us to identify the nonlinear association between women's exposure to air pollutants (PM2.5, CO, O3, and SO2) and the gynecological cancer risk. This study supports that the gynecologic risks associated with air pollution should be considered in improved public health preventive measures and policymaking to minimize the dangerous effects of air pollution.
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Affiliation(s)
- Qiwei Yu
- State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China; (Q.Y.); (K.H.); (S.L.); (K.H.); (Y.C.)
| | - Liqiang Zhang
- State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China; (Q.Y.); (K.H.); (S.L.); (K.H.); (Y.C.)
- Guangxi Key Laboratory of Spatial Information and Geomatics, Guilin University of Technology, Guilin 541004, China;
| | - Kun Hou
- State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China; (Q.Y.); (K.H.); (S.L.); (K.H.); (Y.C.)
| | - Jingwen Li
- Guangxi Key Laboratory of Spatial Information and Geomatics, Guilin University of Technology, Guilin 541004, China;
| | - Suhong Liu
- State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China; (Q.Y.); (K.H.); (S.L.); (K.H.); (Y.C.)
| | - Ke Huang
- State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China; (Q.Y.); (K.H.); (S.L.); (K.H.); (Y.C.)
| | - Yang Cheng
- State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China; (Q.Y.); (K.H.); (S.L.); (K.H.); (Y.C.)
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The Association between Preterm Birth and Ambient Air Pollution Exposure in Shiyan, China, 2015-2017. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18084326. [PMID: 33921784 PMCID: PMC8072601 DOI: 10.3390/ijerph18084326] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/30/2021] [Revised: 04/13/2021] [Accepted: 04/14/2021] [Indexed: 11/17/2022]
Abstract
Shortening of the gestational duration has been found associated with ambient air pollution exposure. However, the critical exposure windows of ambient air pollution for gestational duration remain inconsistent, and the association between ambient air pollution and early term births (ETB, 37 to 38 weeks) has rarely been studied relative to preterm births (PTB, 28–37 weeks). A time-series study was conducted in Shiyan, a medium-sized city in China. Birth information was collected from the Shiyan Maternity and Child Health Hospital, and 13,111 pregnant women who gave birth between 2015 and 2017 were included. Data of the concentrations of air pollutants, including PM10, PM2.5, NO2, and SO2 and meteorological data, were collected in the corresponding gestational period. The Cox regression analysis was performed to estimate the relationship between ambient air pollution exposure and the risk of preterm birth after controlling the confounders, including maternal age, education, Gravidity, parity, fetal gender, and delivery mode. Very preterm birth (VPTB, 28–32 weeks) as a subtype of PTB was also incorporated in this study. The risk of VPTB and ETB was positively associated with maternal ambient air pollution exposure, and the correlation of gaseous pollutants was stronger than particulate matter. With respect to exposure windows, the critical trimester of air pollutants for different adverse pregnancy outcomes was different. The exposure windows of PM10, PM2.5, and SO2 for ETB were found in the third trimester, with HRs (hazard ratios) of 1.06 (95%CI: 1.04, 1.09), 1.07 (95%CI: 1.04, 1.11), and 1.28 (95%CI: 1.20, 1.35), respectively. However, for NO2, the second and third trimesters exhibited similar results, the HRs reaching 1.10 (95%CI: 1.03, 6.17) and 1.09 (95%CI: 1.03,1.15), respectively. This study extends and strengthen the evidence for a significant correlation between the ambient air pollution exposure during pregnancy and the risk of not only PTB but, also, ETB. Moreover, our findings suggest that the exposure windows during pregnancy vary with different air pollutants and pregnancy outcomes.
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Bearblock E, Aiken CE, Burton GJ. Air pollution and pre-eclampsia; associations and potential mechanisms. Placenta 2020; 104:188-194. [PMID: 33360680 DOI: 10.1016/j.placenta.2020.12.009] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/19/2020] [Revised: 11/11/2020] [Accepted: 12/15/2020] [Indexed: 11/24/2022]
Abstract
INTRODUCTION Air pollution has significant negative health impacts, particularly on the cardiovascular system. The aims of this narrative review were to identify whether there is an association between air pollution and the incidence of pre-eclampsia, and the potential mechanisms by which any effects may be mediated. METHODS We undertook a literature search using Google Scholar, PubMed, the Cochrane Library and NICE Evidence. The primary eligibility criterion was articles correlating exposure to air pollution with incidence of pre-eclampsia. RESULTS Meta-analyses currently show a positive association between pre-eclampsia and exposure to both particulate matter PM2.5 and nitrogen dioxide, but no significant associations with ambient ozone or carbon monoxide exposure. No meta-analysis has been performed for exposure to sulfur dioxide. Variability in terms of quantification of exposure, the exposure period and co-founders among the studies makes comparisons complex. Adverse effects on trophoblast invasion and placental vascularisation, and increases in oxidative stress and anti-angiogenic factors, such as sFlt-1, in response to air pollution provide pathways by which exposure may contribute to the pathophysiology of pre-eclampsia. So far, studies have not discriminated between the early- and late-onset forms of the syndrome. DISCUSSION Future prospective studies using personal air pollution monitors and blood biomarkers of pre-eclampsia would strengthen the associations. Interactions between pollutants are poorly documented, and at present there is minimal informed advice available to women on the need to avoid exposure to air pollutants during pregnancy.
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Affiliation(s)
- Elizabeth Bearblock
- Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK
| | - Catherine E Aiken
- Department of Obstetrics and Gynaecology, University of Cambridge, Cambridge, UK; Centre for Trophoblast Research, University of Cambridge, Cambridge, UK
| | - Graham J Burton
- Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK; Centre for Trophoblast Research, University of Cambridge, Cambridge, UK.
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Abstract
Globally, exposure to ambient air pollutants is responsible for premature mortality and is implicated in the development and exacerbation of several acute and chronic lung disease across all ages. In this article, we discuss the source apportionment of ambient pollutants and the respiratory health effects in humans. We specifically discuss the evidence supporting ambient pollution in the development of asthma and chronic obstructive pulmonary disease and acute exacerbations of each condition. Practical advice is given to health care providers in how to promote a healthy environment and advise patients with chronic conditions to avoid unsafe air quality.
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Affiliation(s)
- Gary Adamkiewicz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Jahred Liddie
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Jonathan M Gaffin
- Division of Pulmonary Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA.
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Yu H, Yin Y, Zhang J, Zhou R. The impact of particulate matter 2.5 on the risk of preeclampsia: an updated systematic review and meta-analysis. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2020; 27:37527-37539. [PMID: 32740838 PMCID: PMC7496023 DOI: 10.1007/s11356-020-10112-8] [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: 04/18/2020] [Accepted: 07/10/2020] [Indexed: 05/07/2023]
Abstract
There is increasing and inconsistent evidence of a linkage between maternal exposure to particulate matter 2.5 (PM2.5) and preeclampsia. Therefore, this study was conducted to investigate this relationship. Electronic databases including PubMed, Embase, Web of Science, and Cochrane Library were searched to identify articles published from inception to March 23, 2020, which showed a correlation between PM2.5 and preeclampsia. Finally, 9 of 523 initial studies were deemed eligible for inclusion. A random effect model was adopted to calculate the standardized odds ratio (OR) and 95% confidence interval (CI). Based on potential effect modification, subgroup analyses were further performed. Meta-analysis showed that maternal exposure to PM2.5 (per 10 μg/m3 increment) elevated the risk of preeclampsia (OR = 1.32, 95% CI 1.10 to 1.58%). Compared with other pregnancy trimesters, the third trimester of pregnancy seems to be the period in which women are more susceptible to PM2.5. Significant effect modification of the correlation between PM2.5 exposure and preeclampsia according to multiple pregnancies, pregnancy stage, maternal-related disease history, and sample size was not observed. The results demonstrated that maternal exposure to PM2.5 may predispose pregnant women to develop preeclampsia, especially in the third trimester of pregnancy. Therefore, more efforts should be made to improve air quality to maintain the health of pregnant women.
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Affiliation(s)
- Hongbiao Yu
- Department of Obstetrics and Gynecology, Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University) of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, People's Republic of China
| | - Yangxue Yin
- Department of Obstetrics and Gynecology, Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University) of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, People's Republic of China
| | - Jiashuo Zhang
- Department of Obstetrics and Gynecology, Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University) of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, People's Republic of China
| | - Rong Zhou
- Department of Obstetrics and Gynecology, Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University) of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, People's Republic of China.
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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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Sun Y, Ilango SD, Schwarz L, Wang Q, Chen JC, Lawrence JM, Wu J, Benmarhnia T. Examining the joint effects of heatwaves, air pollution, and green space on the risk of preterm birth in California. ENVIRONMENTAL RESEARCH LETTERS : ERL [WEB SITE] 2020; 15:104099. [PMID: 34659452 PMCID: PMC8516119 DOI: 10.1088/1748-9326/abb8a3] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
BACKGROUND Exposure to high air temperature in late pregnancy is increasingly recognized as a risk factor for preterm birth (PTB). However, the combined effects of heatwaves with air pollution and green space are still unexplored. In the context of climate change, investigating the interaction between environmental factors and identifying communities at higher risk is important to better understand the etiological mechanisms and design targeted interventions towards certain women during pregnancy. OBJECTIVES To examine the combined effects of heatwaves, air pollution and green space exposure on the risk of PTB. METHODS California birth certificate records for singleton births (2005-2013) were obtained. Residential zip code-specific daily temperature during the last week of gestation was used to create 12 definitions of heatwave with varying temperature thresholds and durations. We fit multi-level Cox proportional hazard models with time to PTB as the outcome and gestational week as the temporal unit. Relative risk due to interaction (RERI) was applied to estimate the additive interactive effect of air pollution and green space on the effect of heatwaves on PTB. RESULTS In total, 1,967,300 births were included in this study. For PM2.5, PM10 and O3, we found positive additive interactions (RERIs >0) between heatwaves and higher air pollution levels. Combined effects of heatwaves and green space indicated negative interactions (RERIs <0) for less intense heatwaves (i.e., shorter duration or relatively low temperature), whereas there were potential positive interactions (RERIs >0) for more intense heatwaves. CONCLUSION This study found synergistic harmful effects for heatwaves with air pollution, and potential positive interactions with lack of green space on PTB. Implementing interventions, such as heat warning systems and behavioral changes, targeted toward pregnant women at risk for high air pollution and low green space exposures may optimize the benefits of reducing acute exposure to extreme heat before delivery.
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Affiliation(s)
- Yi Sun
- Department of Environmental and Occupational Health, University of California, Irvine, CA 92697-3957, USA
| | - Sindana D. Ilango
- Department of Family Medicine and Public Health, University of California, San Diego, La Jolla, CA 92093, USA
- School of Public Health, San Diego State University, San Diego, CA, 92182, USA
| | - Lara Schwarz
- Department of Family Medicine and Public Health, University of California, San Diego, La Jolla, CA 92093, USA
- School of Public Health, San Diego State University, San Diego, CA, 92182, USA
| | - Qiong Wang
- School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Jiu-Chiuan Chen
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Jean M. Lawrence
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA
| | - Jun Wu
- Department of Environmental and Occupational Health, University of California, Irvine, CA 92697-3957, USA
- Program in Public Health, 653 East Peltason Drive, University of California, Irvine CA 92697-3957, USA
| | - Tarik Benmarhnia
- Department of Family Medicine and Public Health, University of California, San Diego, La Jolla, CA 92093, USA
- Scripps Institution of Oceanography, UC San Diego, La Jolla, CA, 92037, USA
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Daniel S, Balalian AA, Insel BJ, Liu X, Whyatt RM, Calafat AM, Rauh VA, Perera FP, Hoepner LA, Herbstman J, Factor-Litvak P. Prenatal and early childhood exposure to phthalates and childhood behavior at age 7 years. ENVIRONMENT INTERNATIONAL 2020; 143:105894. [PMID: 32679391 PMCID: PMC7867029 DOI: 10.1016/j.envint.2020.105894] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/23/2020] [Revised: 06/11/2020] [Accepted: 06/11/2020] [Indexed: 05/29/2023]
Abstract
BACKGROUND Emerging evidence suggests that phthalate exposure may be associated with behavior problems in children and that these associations may be sex specific. METHODS In a follow up study of 411 inner-city minority mothers and their children, mono-n-butyl phthalate (MnBP), monobenzyl phthalate (MBzP), monoisobutyl phthalate (MiBP), monethyl phthalate (MEP) and four di-2-ethylhexyl phthalate metabolites (DEHP) were quantified in maternal urine samples collected during the third trimester and in child urine samples at ages 3 and 5 years. The Conners' Parent Rating Scale-Revised: Long Form (CPRS) and Child Behavior Checklist (CBCL) were administered to the mothers to assess children's behavior problems at 7 years of age. The analysis included children with available measures of CBCL, CPRS and phthalates measured in maternal urine. We performed both Quasi-Poisson regression and a mixture analysis using Weighted Quantile Sum(WQS) regression to assess the risk for CPRS scores and for internalizing and externalizing behaviors (from the CBCL) following intra-uterine exposure to the phthalate metabolites for boys and girls separately. RESULTS Among boys, increases in in anxious-shy behaviors were associated with prenatal exposure to MBzP (Mean Ratio [MR] = 1.20, 95%CI 1.05-1.36) and MiBP (Mean Ratio (MR) = 1.22, 95%CI 1.02-1.47). Among girls, increases in perfectionism were associated with MBzP (MR = 1.15, 95%CI 1.01-1.30). In both boys and girls, increases in psychosomatic problems were associated with MiBP (MR = 1.28, 95%CI 1.02-1.60), and MnBP (MR = 1.28, 95%CI 1.02-1.59), respectively. Among girls, decreased hyperactivity was associated with two DEHP metabolites, mono(2-ethyl-5-oxohexyl) phthalate (MR = 0.83, 95%CI 0.71-0.98) and mono(2-ethyl-5-hydroxyhexyl) phthalate (MR = 0.85, 95%CI 0.72-0.99). Using weighted Quantile Sum logistic regression, no associations were found between the Weighted Quantile Sum (WQS) of phthalate metabolites and CPRS scores or externalizing and internalizing behaviors. Nonetheless, when the analysis was performed separately for DEHP and non-DEHP metabolites significant associations were found between the WQS of DEHP metabolites and social problems in boys (OR = 2.15, 95%CI 1.13-4.06, p-value = 0.02) anxious-shy problems in girls (OR = 2.19, 95%CI 1.15-4.16, p = 0.02), and emotional lability problems in all children (OR = 0.61, 95%CI 0.38-0.97, p = 0.04). MEHP and MEOHP were the most highly weighted DEHP metabolites in WQS mixture. The analysis performed with CBCL scale corroborated these associations. CONCLUSION Concentration of non-DEHP metabolites was associated with anxious-shy behaviors among boys. DEHP phthalate metabolites were associated with decreased hyperactivity and impulsivity among girls on CPRS scores. These findings lend further support to the adverse associations between prenatal phthalate exposure and childhood outcomes, and clearly suggest that such associations are sex and mixture specific.
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Affiliation(s)
- Sharon Daniel
- Department of Public Health, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel; Department of Pediatrics, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel; Soroka University Medical Center, Beer-Sheva, Israel; Clalit Health Services, Southern District, Beer-Sheva, Israel
| | - Arin A Balalian
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Beverly J Insel
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Xinhua Liu
- Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Robin M Whyatt
- Columbia Center for Children's Environmental Health, Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Antonia M Calafat
- National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Virginia A Rauh
- Columbia Center for Children's Environmental Health, Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA; Heilbrunn Department of Population and Family Health, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Frederica P Perera
- Columbia Center for Children's Environmental Health, Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Lori A Hoepner
- Columbia Center for Children's Environmental Health, Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA; Department of Environmental & Occupational Health Sciences, School of Public Health, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
| | - Julie Herbstman
- Columbia Center for Children's Environmental Health, Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Pam Factor-Litvak
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA.
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Sun Y, Sheridan P, Laurent O, Li J, Sacks DA, Fischer H, Qiu Y, Jiang Y, Yim IS, Jiang LH, Molitor J, Chen JC, Benmarhnia T, Lawrence JM, Wu J. Associations between green space and preterm birth: Windows of susceptibility and interaction with air pollution. ENVIRONMENT INTERNATIONAL 2020; 142:105804. [PMID: 32505016 PMCID: PMC7340571 DOI: 10.1016/j.envint.2020.105804] [Citation(s) in RCA: 46] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/01/2020] [Revised: 05/06/2020] [Accepted: 05/12/2020] [Indexed: 05/24/2023]
Abstract
BACKGROUND Recent studies have reported inconsistent associations between maternal residential green space and preterm birth (PTB, born < 37 completed gestational weeks). In addition, windows of susceptibility during pregnancy have not been explored and potential interactions of green space with air pollution exposures during pregnancy are still unclear. OBJECTIVES To evaluate the relationships between green space and PTB, identify windows of susceptibility, and explore potential interactions between green space and air pollution. METHODS Birth certificate records for all births in California (2001-2008) were obtained. The Normalized Difference Vegetation Index (NDVI) was used to characterized green space exposure. Gestational age was treated as a time-to-event outcome; Cox proportional hazard models were applied to estimate the association between green space exposure and PTB, moderately PTB (MPTB, gestational age < 35 weeks), and very PTB (VPTB, gestational age < 30 weeks), after controlling for maternal age, race/ethnicity, education, and median household income. Month-specific green space exposure was used to identify potential windows of susceptibility. Potential interactions between green space and air pollution [fine particulate matter < 2.5 µm (PM2.5), nitrogen dioxide (NO2), and ozone (O3)] were examined on both additive and multiplicative scales. RESULTS In total, 3,753,799 eligible births were identified, including 341,123 (9.09%) PTBs, 124,631 (3.32%) MPTBs, and 22,313 (0.59%) VPTBs. A reduced risk of PTB was associated with increases in residential NDVI exposure in 250 m, 500 m, 1000 m, and 2000 m buffers. In the 2000 m buffer, the association was strongest for VPTB [adjusted hazard ratio (HR) per interquartile range increase in NDVI: 0.959, 95% confidence interval (CI): 0.942-0.976)], followed by MPTB (HR = 0.970, 95% CI: 0.962-0.978) and overall PTB (HR = 0.972, 95% CI: 0.966-0.978). For PTB, green space during the 3rd - 5th gestational months had stronger associations than those in the other time periods, especially during the 4th gestational month (NDVI 2000 m: HR = 0.970, 95% CI: 0.965-0.975). We identified consistent positive additive and multiplicative interactions between decreasing green space and higher air pollution. CONCLUSION This large study found that maternal exposure to residential green space was associated with decreased risk of PTB, MPTB, and VPTB, especially in the second trimester. There is a synergistic effect between low green space and high air pollution levels on PTB, indicating that increasing exposure to green space may be more beneficial for women with higher air pollution exposures during pregnancy.
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Affiliation(s)
- Yi Sun
- Program in Environmental Health Sciences, University of California, Irvine, CA 92697-3957, USA
| | - Paige Sheridan
- Department of Family Medicine and Public Health & Scripps Institution of Oceanography, University of California, San Diego, 9500 Gilman Drive #0725, CA La Jolla 92093, USA
| | - Olivier Laurent
- Program in Public Health, 653 East Peltason Drive, University of California, Irvine CA 92697-3957, USA
| | - Jia Li
- Program in Public Health, 653 East Peltason Drive, University of California, Irvine CA 92697-3957, USA
| | - David A Sacks
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA
| | - Heidi Fischer
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA
| | - Yang Qiu
- Department of Environmental Science and Engineering, College of Architecture and Environment, Sichuan University, #24 First Ring Road South Section One, Chengdu, Sichuan, China
| | - Yu Jiang
- School of Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ilona S Yim
- Department of Psychological Science, University of California, Irvine, CA 92697-7085, USA
| | - Luo-Hua Jiang
- Department of Epidemiology, University of California, Irvine, CA, USA
| | - John Molitor
- College of Public Health and Human Sciences, Oregon State University, Corvallis, OR 97331, USA
| | - Jiu-Chiuan Chen
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Tarik Benmarhnia
- Department of Family Medicine and Public Health & Scripps Institution of Oceanography, University of California, San Diego, 9500 Gilman Drive #0725, CA La Jolla 92093, USA
| | - Jean M Lawrence
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA
| | - Jun Wu
- Program in Environmental Health Sciences, University of California, Irvine, CA 92697-3957, USA; Program in Public Health, 653 East Peltason Drive, University of California, Irvine CA 92697-3957, USA.
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Demetillo MAG, Navarro A, Knowles KK, Fields KP, Geddes JA, Nowlan CR, Janz SJ, Judd LM, Al-Saadi J, Sun K, McDonald BC, Diskin GS, Pusede SE. Observing Nitrogen Dioxide Air Pollution Inequality Using High-Spatial-Resolution Remote Sensing Measurements in Houston, Texas. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2020; 54:9882-9895. [PMID: 32806912 DOI: 10.1021/acs.est.0c01864] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
Houston, Texas is a major U.S. urban and industrial area where poor air quality is unevenly distributed and a disproportionate share is located in low-income, non-white, and Hispanic neighborhoods. We have traditionally lacked city-wide observations to fully describe these spatial heterogeneities in Houston and in cities globally, especially for reactive gases like nitrogen dioxide (NO2). Here, we analyze novel high-spatial-resolution (250 m × 500 m) NO2 vertical columns measured by the NASA GCAS airborne spectrometer as part of the September-2013 NASA DISCOVER-AQ mission and discuss differences in population-weighted NO2 at the census-tract level. Based on the average of 35 repeated flight circuits, we find 37 ± 6% higher NO2 for non-whites and Hispanics living in low-income tracts (LIN) compared to whites living in high-income tracts (HIW) and report NO2 disparities separately by race ethnicity (11-32%) and poverty status (15-28%). We observe substantial time-of-day and day-to-day variability in LIN-HIW NO2 differences (and in other metrics) driven by the greater prevalence of NOx (≡NO + NO2) emission sources in low-income, non-white, and Hispanic neighborhoods. We evaluate measurements from the recently launched satellite sensor TROPOMI (3.5 km × 7 km at nadir), averaged to 0.01° × 0.01° using physics-based oversampling, and demonstrate that TROPOMI resolves similar relative, but not absolute, tract-level differences compared to GCAS. We utilize the high-resolution FIVE and NEI NOx inventories, plus one year of TROPOMI weekday-weekend variability, to attribute tract-level NO2 disparities to industrial sources and heavy-duty diesel trucking. We show that GCAS and TROPOMI spatial patterns correspond to the surface patterns measured using aircraft profiling and surface monitors. We discuss opportunities for satellite remote sensing to inform decision making in cities generally.
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Affiliation(s)
- Mary Angelique G Demetillo
- Department of Environmental Sciences, University of Virginia, Charlottesville, Virginia 22904, United States
| | - Aracely Navarro
- Department of Public Health, Emory University, Atlanta, Georgia 30322, United States
| | - Katherine K Knowles
- Department of Environmental Sciences, University of Virginia, Charlottesville, Virginia 22904, United States
| | - Kimberly P Fields
- Carter G. Woodson Institute for African-American and African Studies, University of Virginia, Charlottesville, Virginia 22904, United States
| | - Jeffrey A Geddes
- Department of Earth and Environment, Boston University, Boston, Massachusetts 02215, United States
| | - Caroline R Nowlan
- Atomic and Molecular Physics Division, Harvard Smithsonian Center for Astrophysics, Cambridge, Massachusetts 02138, United States
| | - Scott J Janz
- NASA Goddard Space Flight Center, Greenbelt, Maryland 20771, United States
| | - Laura M Judd
- NASA Langley Research Center, Hampton, Virginia 23681, United States
| | - Jassim Al-Saadi
- NASA Langley Research Center, Hampton, Virginia 23681, United States
| | - Kang Sun
- Department of Civil, Structural and Environmental Engineering, University at Buffalo, Buffalo, New York 14260, United States
- Research and Education in eNergy, Environment and Water (RENEW) Institute, University at Buffalo, Buffalo, New York 14260, United States
| | - Brian C McDonald
- Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, Colorado 80305, United States
- Chemical Sciences Division, NOAA Earth System Research Laboratory, Boulder, Colorado 80305, United States
| | - Glenn S Diskin
- NASA Langley Research Center, Hampton, Virginia 23681, United States
| | - Sally E Pusede
- Department of Environmental Sciences, University of Virginia, Charlottesville, Virginia 22904, United States
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Krall JR, Adibah N, Babin LM, Lee YC, Motti VG, McCombs M, McWilliams A, Thornburg J, Pollack AZ. Estimating exposure to traffic-related PM 2.5 for women commuters using vehicle and personal monitoring. ENVIRONMENTAL RESEARCH 2020; 187:109644. [PMID: 32422483 DOI: 10.1016/j.envres.2020.109644] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/04/2020] [Revised: 04/13/2020] [Accepted: 05/03/2020] [Indexed: 06/11/2023]
Abstract
Exposure to traffic-related fine particulate matter air pollution (tr-PM2.5) has been associated with adverse health outcomes including preterm birth and low birthweight. In-vehicle exposure to tr-PM2.5 can contribute substantially to total tr-PM2.5 exposure. Because average commuting habits of women differ from men, a research gap is estimating in-vehicle tr-PM2.5 exposures for women commuters. For 46 women commuters in the Washington, D.C. metro area, we measured personal exposure to PM2.5 during all vehicle trips taken in a 48-h sampling period. We also measured 48-h integrated PM2.5 chemical constituents including black carbon and zinc. We identified trip times using vehicle monitors, specifically on-board diagnostics data loggers and dashboard cameras. For 386 trips, we estimated associations between PM2.5 exposure and trip characteristics using linear mixed models accounting for participant, day, and time of day. Additionally, we estimated associations between rush hour trip PM2.5 and 48-h integrated PM2.5 chemical constituents using linear models. Exposure to PM2.5 during trips was 1.9 μg/m3 (95% confidence interval (CI): 0.9, 2.9) higher than non-trip exposures and rush hour trip exposures were 3.2 μg/m3 (95% CI: 1.8, 4.6) higher than non-trip exposures on average. We did not find differences in PM2.5 exposure by trip length. Although concentrations of tr-PM2.5 chemical constituents were generally positively associated with rush hour trip PM2.5, associations were weak indicating that other settings contribute to total tr-PM2.5 exposure. Our study demonstrates the utility of combining vehicle monitors and personal PM2.5 monitors for estimating personal exposure to tr-PM2.5. Future work will investigate whether additional data collected by vehicle monitors, such as traffic and speed, can be leveraged to better understand tr-PM2.5 exposure among commuters.
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Affiliation(s)
- Jenna R Krall
- Department of Global and Community Health, George Mason University, Fairfax, VA 4400 University Drive, MS 5B7, Fairfax, VA, 22030, United States.
| | - Nada Adibah
- Department of Global and Community Health, George Mason University, Fairfax, VA 4400 University Drive, MS 5B7, Fairfax, VA, 22030, United States
| | - Leah M Babin
- Department of Global and Community Health, George Mason University, Fairfax, VA 4400 University Drive, MS 5B7, Fairfax, VA, 22030, United States
| | - Yi-Ching Lee
- Department of Psychology, George Mason University, Fairfax, VA 4400 University Drive, MS 3F5, Fairfax, VA, 22030, United States
| | - Vivian Genaro Motti
- Department of Information Sciences and Technology, George Mason University, Fairfax, VA 4400 University Drive, MS 1G8, Fairfax, VA, 22030, United States
| | - Michelle McCombs
- RTI International, Research Triangle Park, NC 3040 E. Cornwallis Rd, RTP, NC, 27709, United States
| | - Andrea McWilliams
- RTI International, Research Triangle Park, NC 3040 E. Cornwallis Rd, RTP, NC, 27709, United States
| | - Jonathan Thornburg
- RTI International, Research Triangle Park, NC 3040 E. Cornwallis Rd, RTP, NC, 27709, United States
| | - Anna Z Pollack
- Department of Global and Community Health, George Mason University, Fairfax, VA 4400 University Drive, MS 5B7, Fairfax, VA, 22030, United States
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Drwal E, Rak A, Tworzydło W, Gregoraszczuk EŁ. “Real life” polycyclic aromatic hydrocarbon (PAH) mixtures modulate hCG, hPL and hPLGF levels and disrupt the physiological ratio of MMP-2 to MMP-9 and VEGF expression in human placenta cell lines. Reprod Toxicol 2020; 95:1-10. [DOI: 10.1016/j.reprotox.2020.02.006] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2019] [Revised: 02/07/2020] [Accepted: 02/13/2020] [Indexed: 12/22/2022]
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Konkel L. Move Over, Traffic: Aircraft Emissions and Preterm Birth. ENVIRONMENTAL HEALTH PERSPECTIVES 2020; 128:74003. [PMID: 32697121 PMCID: PMC7375160 DOI: 10.1289/ehp7161] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/30/2020] [Accepted: 03/30/2020] [Indexed: 06/11/2023]
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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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Zhang X, Fan C, Ren Z, Feng H, Zuo S, Hao J, Liao J, Zou Y, Ma L. Maternal PM 2.5 exposure triggers preterm birth: a cross-sectional study in Wuhan, China. Glob Health Res Policy 2020; 5:17. [PMID: 32377568 PMCID: PMC7193342 DOI: 10.1186/s41256-020-00144-5] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2020] [Accepted: 03/24/2020] [Indexed: 11/10/2022] Open
Abstract
Background Most of the studies regarding air pollution and preterm birth (PTB) in highly polluted areas have estimated the exposure level based on fixed-site monitoring. However, exposure assessment methods relying on monitors have the potential to cause exposure misclassification due to a lack of spatial variation. In this study, we utilized a land use regression (LUR) model to assess individual exposure, and explored the association between PM2.5 exposure during each time window and the risk of preterm birth in Wuhan city, China. Methods Information on 2101 singleton births, which were ≥ 20 weeks of gestation and born between November 1, 2013 and May 31, 2014; between January 1, 2015 and August 31, 2015, was obtained from the Obstetrics Department in one 3A hospital in Wuhan. Air quality index (AQI) data were accessed from the Wuhan Environmental Protection Bureau website. Individual exposure during pregnancy was assessed by LUR models and Kriging interpolation. Logistic regression analyses were conducted to determine the association between women exposure to PM2.5 and the risk of different subtypes of PTB. Results During the study period, the average individual exposure concentration of PM2.5 during the entire pregnancy was 84.54 μg/m3. A 10 μg/m3 increase of PM2.5 exposure in the first trimester (OR: 1.169; 95% CI: 1.077, 1.262), the second trimester (OR: 1.056; 95% CI: 1.015, 1.097), the third trimester (OR: 1.052; 95% CI: 1.002, 1.101), and the entire pregnancy (OR: 1.263; 95% CI: 1.158, 1.368) was significantly associated with an increased risk of PTB. For the PTB subgroup, the hazard of PM2.5 exposure during pregnancy was stronger for very preterm births (VPTB) than moderate preterm births (MPTB). The first trimester was the most susceptible exposure window. Moreover, women who had less than 9 years of education or who conceived during the cold season tended to be more susceptible to the PM2.5 exposure during pregnancy. Conclusions Maternal exposure to PM2.5 increased the risk of PTB, and this risk was stronger for VPTB than for MPTB, especially during the first trimester.
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Affiliation(s)
- Xiaotong Zhang
- 1Department of Epidemiology and Health Statistics, School of Health Sciences, Wuhan University, Wuhan, 430071 China
| | - Cuifang Fan
- 2Department of Obstetrics, Renmin Hospital of Wuhan University, Wuhan, 430060 China
| | - Zhan Ren
- 1Department of Epidemiology and Health Statistics, School of Health Sciences, Wuhan University, Wuhan, 430071 China
| | - Huan Feng
- 1Department of Epidemiology and Health Statistics, School of Health Sciences, Wuhan University, Wuhan, 430071 China
| | - Shanshan Zuo
- 1Department of Epidemiology and Health Statistics, School of Health Sciences, Wuhan University, Wuhan, 430071 China
| | - Jiayuan Hao
- 1Department of Epidemiology and Health Statistics, School of Health Sciences, Wuhan University, Wuhan, 430071 China
| | - Jingling Liao
- 3Department of Public Health, Wuhan University of Science and Technology School of Medicine, Wuhan, 430081 China
| | - Yuliang Zou
- 1Department of Epidemiology and Health Statistics, School of Health Sciences, Wuhan University, Wuhan, 430071 China.,4Global Health Institute, Wuhan University, Wuhan, 430071 China
| | - Lu Ma
- 1Department of Epidemiology and Health Statistics, School of Health Sciences, Wuhan University, Wuhan, 430071 China.,4Global Health Institute, Wuhan University, Wuhan, 430071 China
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Wing SE, Larson TV, Hudda N, Boonyarattaphan S, Fruin S, Ritz B. Preterm Birth among Infants Exposed to in Utero Ultrafine Particles from Aircraft Emissions. ENVIRONMENTAL HEALTH PERSPECTIVES 2020; 128:47002. [PMID: 32238012 PMCID: PMC7228090 DOI: 10.1289/ehp5732] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/09/2019] [Revised: 02/24/2020] [Accepted: 03/04/2020] [Indexed: 05/22/2023]
Abstract
INTRODUCTION Ambient air pollution is a known risk factor for adverse birth outcomes, but the role of ultrafine particles (UFPs) is not well understood. Aircraft-origin UFPs adversely affect air quality over large residential areas downwind of airports, but their reproductive health burden remains uninvestigated. OBJECTIVES This analysis evaluated whether UFPs from jet aircraft emissions are associated with increased rates of preterm birth (PTB) among pregnant mothers living downwind of Los Angeles International Airport (LAX). METHODS This population-based study used birth records, provided by the California Department of Public Health, to ascertain birth outcomes and a novel, validated geospatial UFP dispersion model approach to estimate in utero exposures. All mothers who gave birth from 2008 to 2016 while living within 15km of LAX were included in this analysis (N=174,186; including 15,134 PTBs). RESULTS In utero exposure to aircraft-origin UFPs was positively associated with PTB. The odds ratio (OR) per interquartile range (IQR) increase [9,200 particles per cubic centimeter (cc)] relative UFP exposure was 1.04 [95% confidence interval (CI): 1.02, 1.06]. When comparing the fourth quartile of UFP exposure to the first quartile, the OR for PTB was 1.14 (95% CI: 1.08, 1.20), adjusting for maternal demographic characteristics, exposure to traffic-related air pollution, and airport-related noise. CONCLUSION Our results suggest that emissions from aircraft play an etiologic role in PTBs, independent of noise and traffic-related air pollution exposures. These findings are of public health concern because UFP exposures downwind of airfields are common and may affect large, densely populated residential areas. https://doi.org/10.1289/EHP5732.
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Affiliation(s)
- Sam E. Wing
- Department of Epidemiology, University of California, Los Angeles, Los Angeles, California, USA
| | - Timothy V. Larson
- Departments of Civil & Environmental Engineering and Occupational & Environmental Health Sciences, University of Washington, Seattle, Washington, USA
| | - Neelakshi Hudda
- Department of Civil & Environmental Engineering, Tufts University, Medford, Massachusetts, USA
| | - Sarunporn Boonyarattaphan
- Departments of Civil & Environmental Engineering and Occupational & Environmental Health Sciences, University of Washington, Seattle, Washington, USA
| | - Scott Fruin
- Division of Environmental Health, University of Southern California, Los Angeles, California, USA
| | - Beate Ritz
- Department of Epidemiology, University of California, Los Angeles, Los Angeles, California, USA
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