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Grabowski B, Feduniw S, Orzel A, Drab M, Modzelewski J, Pruc M, Gaca Z, Szarpak L, Rabijewski M, Baran A, Scholz A. Does Exposure to Ambient Air Pollution Affect Gestational Age and Newborn Weight?-A Systematic Review. Healthcare (Basel) 2024; 12:1176. [PMID: 38921290 PMCID: PMC11203000 DOI: 10.3390/healthcare12121176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2024] [Revised: 06/03/2024] [Accepted: 06/05/2024] [Indexed: 06/27/2024] Open
Abstract
Current evidence suggests that airborne pollutants have a detrimental effect on fetal growth through the emergence of small for gestational age (SGA) or term low birth weight (TLBW). The study's objective was to critically evaluate the available literature on the association between environmental pollution and the incidence of SGA or TLBW occurrence. A comprehensive literature search was conducted across Pubmed/MEDLINE, Web of Science, Cochrane Library, EMBASE, and Google Scholar using predefined inclusion and exclusion criteria. The methodology adhered to the PRISMA guidelines. The systematic review protocol was registered in PROSPERO with ID number: CRD42022329624. As a result, 69 selected papers described the influence of environmental pollutants on SGA and TLBW occurrence with an Odds Ratios (ORs) of 1.138 for particulate matter ≤ 10 μm (PM10), 1.338 for particulate matter ≤ 2.5 μm (PM2.5), 1.173 for ozone (O3), 1.287 for sulfur dioxide (SO2), and 1.226 for carbon monoxide (CO). All eight studies analyzed validated that exposure to volatile organic compounds (VOCs) is a risk factor for SGA or TLBW. Pregnant women in the high-risk group of SGA occurrence, i.e., those living in urban areas or close to sources of pollution, are at an increased risk of complications. Understanding the exact exposure time of pregnant women could help improve prenatal care and timely intervention for fetuses with SGA. Nevertheless, the pervasive air pollution underscored in our findings suggests a pressing need for adaptive measures in everyday life to mitigate worldwide environmental pollution.
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Affiliation(s)
- Bartlomiej Grabowski
- Department of Urology, Military Institute of Medicine, Szaserow 128, 04-349 Warsaw, Poland;
| | - Stepan Feduniw
- Department of Gynecology, University Hospital Zürich, Frauenklinikstrasse 10, 8091 Zürich, Switzerland
| | - Anna Orzel
- I Department of Obstetrics and Gynecology, Centre of Postgraduate Medical Education, 01-004 Warsaw, Poland; (A.O.); (M.D.); (A.B.)
| | - Marcin Drab
- I Department of Obstetrics and Gynecology, Centre of Postgraduate Medical Education, 01-004 Warsaw, Poland; (A.O.); (M.D.); (A.B.)
| | - Jan Modzelewski
- Department of Reproductive Health, Centre of Postgraduate Medical Education, 01-813 Warsaw, Poland; (J.M.); (M.R.); (A.S.)
| | - Michal Pruc
- Research Unit, Polish Society of Disaster Medicine, 05-806 Warsaw, Poland; (M.P.); (Z.G.)
- Department of Public Health, International European University, 03187 Kyiv, Ukraine
- Department of Clinical Research and Development, LUXMED Group, 02-676 Warsaw, Poland;
| | - Zuzanna Gaca
- Research Unit, Polish Society of Disaster Medicine, 05-806 Warsaw, Poland; (M.P.); (Z.G.)
| | - Lukasz Szarpak
- Department of Clinical Research and Development, LUXMED Group, 02-676 Warsaw, Poland;
- Henry JN Taub Department of Emergency Medicine, Baylor College of Medicine, Houston, TX 77030, USA
| | - Michal Rabijewski
- Department of Reproductive Health, Centre of Postgraduate Medical Education, 01-813 Warsaw, Poland; (J.M.); (M.R.); (A.S.)
| | - Arkadiusz Baran
- I Department of Obstetrics and Gynecology, Centre of Postgraduate Medical Education, 01-004 Warsaw, Poland; (A.O.); (M.D.); (A.B.)
| | - Anna Scholz
- Department of Reproductive Health, Centre of Postgraduate Medical Education, 01-813 Warsaw, Poland; (J.M.); (M.R.); (A.S.)
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Gogna P, Borghese MM, Villeneuve PJ, Kumarathasan P, Johnson M, Shutt RH, Ashley-Martin J, Bouchard MF, King WD. A cohort study of the multipollutant effects of PM 2.5, NO 2, and O 3 on C-reactive protein levels during pregnancy. Environ Epidemiol 2024; 8:e308. [PMID: 38799262 PMCID: PMC11115979 DOI: 10.1097/ee9.0000000000000308] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Accepted: 03/18/2024] [Indexed: 05/29/2024] Open
Abstract
Background PM2.5, NO2, and O3 contribute to the development of adverse pregnancy complications. While studies have investigated the independent effects of these exposures, literature on their combined effects is limited. Our objective was to study the multipollutant effects of PM2.5, NO2, and O3 on maternal systemic C-reactive protein (CRP) levels. Methods We used data from 1170 pregnant women enrolled in the Maternal-Infant Research on Environmental Chemicals Study (MIREC) study in Canada. Air pollution exposures were assigned to each participant based on residential location. CRP was measured in third-trimester blood samples. We fit multipollutant linear regression models and evaluated the effects of air pollutant mixtures (14-day averages) using repeated-holdout Weighted Quantile Sum (WQS) regression and by calculating the Air Quality Health Index (AQHI). Results In multipollutant models adjusting for NO2, O3, and green space, each interquartile range (IQR) increase in 14-day average PM2.5 (IQR: 6.9 µg/m3) was associated with 27.1% (95% confidence interval [CI] = 6.2, 50.7) higher CRP. In air pollution mixture models adjusting for green space, each IQR increase in AQHI was associated with 37.7% (95% CI = 13.9, 66.5) higher CRP; and an IQR increase in the WQS index was associated with 78.6% (95% CI = 29.7, 146.0) higher CRP. Conclusion PM2.5 has the strongest relationship of the individual pollutants examined with maternal blood CRP concentrations. Mixtures incorporating all three pollutants, assessed using the AQHI and WQS index, showed stronger relationships with CRP compared with individual pollutants and illustrate the importance of conducting multipollutant analyses.
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Affiliation(s)
- Priyanka Gogna
- Department of Public Health Sciences, Queen’s University, Kingston, Ontario, Canada
| | - Michael M. Borghese
- Environmental Health Science and Research Bureau, Health Canada, Ottawa, Ontario, Canada
| | - Paul J. Villeneuve
- School of Mathematics and Statistics, Carleton University, Ottawa, Ontario, Canada
| | | | - Markey Johnson
- Water and Air Quality Bureau, Health Canada, Ottawa, Ontario, Canada
| | - Robin H. Shutt
- Environmental Health Science and Research Bureau, Health Canada, Ottawa, Ontario, Canada
| | - Jillian Ashley-Martin
- 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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Mansouri R, Lavigne E, Talarico R, Smargiassi A, Rodriguez-Villamizar LA, Villeneuve PJ. Residential surrounding greenness and the incidence of childhood asthma: Findings from a population-based cohort in Ontario, Canada. ENVIRONMENTAL RESEARCH 2024; 249:118316. [PMID: 38301756 DOI: 10.1016/j.envres.2024.118316] [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: 11/23/2023] [Revised: 01/23/2024] [Accepted: 01/24/2024] [Indexed: 02/03/2024]
Abstract
Several epidemiological studies have investigated the possible role that living in areas with greater amounts of greenspace has on the incidence of childhood asthma. These findings have been inconsistent, and few studies explored the relevance of timing of exposure. We investigated the role of residential surrounding greenness on the risk of incident asthma using a population-based retrospective cohort study. We included 982,131 singleton births in Ontario, Canada between 2006 and 2013. Two measures of greenness, the Normalized Difference Vegetation Index (NDVI) and the Green View Index (GVI), were assigned to the residential histories of these infants from pregnancy through to 12 years of age. Longitudinally-based diagnoses of asthma were determined by using provincial administrative health data. The extended Cox hazards model was used to characterize associations between greenness measures and asthma (up to age 12 years) while adjusting for several risk factors. In a fully adjusted model, that included a term for traffic-related air pollution (NO2), we found no association between an interquartile range increase (0.08) of the NDVI during childhood and asthma incidence (HR = 0.99; 95 % CI = 0.99-1.01). In contrast, we found that an 0.08 increase in NDVI during childhood reduced the risk of asthma in children 7-12 years of age by 14 % (HR = 0.86, 95 % CI:0.79-0.95). Seasonal differences in the association between greenness and asthma were noted. Our findings suggest that residential proximity to greenness reduces the risk of asthma in children aged 7-12.
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Affiliation(s)
- Razieh Mansouri
- Department of Health Sciences, Carleton University, 1125 Colonel By Drive, Ottawa, Ontario, Canada.
| | - Eric Lavigne
- Air Health Science Division, Health Canada, 960 Carling Avenue, Ottawa, Ontario, Canada.
| | - Robert Talarico
- Institute for Clinical Evaluative Sciences, 1053 Carling Avenue, Ottawa, Ontario, Canada.
| | - Audrey Smargiassi
- Center for Public Health Research (CReSP), University of Montreal and CIUSSS Du Centre-Sud-de-l'Île-de-Montréal, 7101 Av Du Parc, Montreal, Quebec, Canada.
| | - Laura A Rodriguez-Villamizar
- Department of Public Health, Universidad Industrial de Santander, Carrera 32 29-31, Bucaramanga, Colombia; Department of Neuroscience, Carleton University, 1125 Colonel By Drive, Ottawa, Ontario, Canada.
| | - Paul J Villeneuve
- Department of Neuroscience, Carleton University, 1125 Colonel By Drive, Ottawa, Ontario, Canada.
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Zhou G, Chai J, Li Q, Sun P, Wang Y, Wu J, Zhang J, Li Y, Dong W, Zhang C, Yu F, Yan X, Ba Y. U-shaped relationship between ozone exposure and preterm birth risk associated with preconception telomere length. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 344:123366. [PMID: 38242305 DOI: 10.1016/j.envpol.2024.123366] [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: 10/30/2023] [Revised: 01/10/2024] [Accepted: 01/14/2024] [Indexed: 01/21/2024]
Abstract
There are conflicting findings regarding the association of ozone (O3) exposure with preterm birth (PTB) occurrence. In the present study, two cohorts were combined to explore the relationship between maternal O3 exposure during pregnancy and PTB risk, and analyze the underlying mechanisms of this relationship in terms of alterations in the preconception telomere length. Cohort 1 included mothers who participated in the National Free Preconception Health Examination Project in Henan Province from 2014 to 2018 along with their newborns (n = 1,066,696). Cohort 2 comprised mothers who conceived between 2016 and 2018 and their newborns (n = 1871) from six areas in Henan Province. The telomere length was assessed in the peripheral blood of mothers at the preconception stage. Data on air pollutant concentrations were collected from environmental monitoring stations and individual exposures were assessed using an inverse distance-weighted model. O3 concentrations (100.60 ± 14.13 μg/m3) were lower in Cohort 1 than in Cohort 2 (114.09 ± 15.17 μg/m3). Linear analyses showed that PTB risk decreased with increasing O3 exposure concentrations in Cohort 1 but increased with increasing O3 exposure concentrations in Cohort 2. Nonlinear analyses revealed that PTB risk tended to decrease and then increase with increasing O3 exposure concentrations in both cohorts. Besides, PTB risk was reduced by 88% for each-unit increase in telomere length in those exposed to moderate O3 concentrations (92.4-123.7 μg/m3, P < 0.05). While no significant association was observed between telomere length and PTB at extreme O3 concentration exposure during entire pregnancy (<92.4 or >123.7 μg/m3, P > 0.05) in Cohort 2. These findings reveal a nonlinear (U-shaped) relationship between O3 exposure and PTB risk. Furthermore, telomere with elevated length was associated with decreased risk of PTB only when exposed to moderate concentrations of O3, but not when exposed to extreme concentrations of O3 during pregnancy.
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Affiliation(s)
- Guoyu Zhou
- Department of Environmental Health & Environment and Health Innovation Team, School of Public Health, Zhengzhou University, Zhengzhou, Henan, China; National Health Commission Key Laboratory of Birth Defects Prevention, Henan Key Laboratory of Population Defects Prevention, Zhengzhou, Henan, China
| | - Jian Chai
- National Health Commission Key Laboratory of Birth Defects Prevention, Henan Key Laboratory of Population Defects Prevention, Zhengzhou, Henan, China; Henan Institute of Reproduction Health Science and Technology, Zhengzhou, Henan, China
| | - Qinyang Li
- Department of Environmental Health & Environment and Health Innovation Team, School of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Panpan Sun
- National Health Commission Key Laboratory of Birth Defects Prevention, Henan Key Laboratory of Population Defects Prevention, Zhengzhou, Henan, China; Henan Institute of Reproduction Health Science and Technology, Zhengzhou, Henan, China
| | - Yalong Wang
- Department of Environmental Health & Environment and Health Innovation Team, School of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Jingjing Wu
- Department of Environmental Health & Environment and Health Innovation Team, School of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Junxi Zhang
- National Health Commission Key Laboratory of Birth Defects Prevention, Henan Key Laboratory of Population Defects Prevention, Zhengzhou, Henan, China; Henan Institute of Reproduction Health Science and Technology, Zhengzhou, Henan, China
| | - Yan Li
- Synergetic Innovation Center of Kinesis and Health, School of Physical Education (Main Campus), Zhengzhou University, Zhengzhou, Henan, China
| | - Wei Dong
- National Health Commission Key Laboratory of Birth Defects Prevention, Henan Key Laboratory of Population Defects Prevention, Zhengzhou, Henan, China; Henan Institute of Reproduction Health Science and Technology, Zhengzhou, Henan, China
| | - Cuican Zhang
- National Health Commission Key Laboratory of Birth Defects Prevention, Henan Key Laboratory of Population Defects Prevention, Zhengzhou, Henan, China; Henan Institute of Reproduction Health Science and Technology, Zhengzhou, Henan, China
| | - Fangfang Yu
- Department of Environmental Health & Environment and Health Innovation Team, School of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Xi Yan
- Department of Neurology, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Zhengzhou, Henan, China.
| | - Yue Ba
- Department of Environmental Health & Environment and Health Innovation Team, School of Public Health, Zhengzhou University, Zhengzhou, Henan, China; Yellow River Institute for Ecological Protection & Regional Coordinated Development, Zhengzhou University, Zhengzhou, Henan, China
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Dzekem BS, Aschebrook-Kilfoy B, Olopade CO. Air Pollution and Racial Disparities in Pregnancy Outcomes in the United States: A Systematic Review. J Racial Ethn Health Disparities 2024; 11:535-544. [PMID: 36897527 PMCID: PMC10781802 DOI: 10.1007/s40615-023-01539-z] [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: 12/15/2022] [Revised: 02/10/2023] [Accepted: 02/13/2023] [Indexed: 03/11/2023]
Abstract
BACKGROUND Exposure to air pollutants and other environmental factors increases the risk of adverse pregnancy outcomes. There is growing evidence that adverse outcomes related to air pollution disproportionately affect racial and ethnic minorities. The objective of this paper is to explore the importance of race as a risk factor for air pollution-related poor pregnancy outcomes. METHODS Studies investigating the effects of exposure to air pollution on pregnancy outcomes by race were reviewed. A manual search was conducted to identify missing studies. Studies that did not compare pregnancy outcomes among two or more racial groups were excluded. Pregnancy outcomes included preterm births, small for gestational age, low birth weight, and stillbirths. RESULTS A total of 124 articles explored race and air pollution as risk factors for poor pregnancy outcome. Thirteen percent of these (n=16) specifically compared pregnancy outcomes among two or more racial groups. Findings across all reviewed articles showed more adverse pregnancy outcomes (preterm birth, small for gestational age, low birth weight, and stillbirths) related to exposure to air pollution among Blacks and Hispanics than among non-Hispanic Whites. CONCLUSION Evidence support our general understanding of the impact of air pollution on birth outcomes and, specifically, of disparities in exposure to air pollution and birth outcomes for infants born to Black and Hispanic mothers. The factors driving these disparities are multifactorial, mostly social, and economic factors. Reducing or eliminating these disparities require interventions at individual, community, state, and national level.
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Affiliation(s)
- Bonaventure S Dzekem
- Biological Sciences Division, Department of Medicine, The University of Chicago, Chicago, IL, USA.
- Center for Global Health, Biological Science Division, The University of Chicago, 5841 S Maryland Ave, suite G-120, Chicago, IL, 60637, USA.
- Internal Medicine Residency Program, Department of Medicine, The University of Chicago, Chicago, IL, USA.
| | | | - Christopher O Olopade
- Biological Sciences Division, Department of Medicine, The University of Chicago, Chicago, IL, USA
- Center for Global Health, Biological Science Division, The University of Chicago, 5841 S Maryland Ave, suite G-120, Chicago, IL, 60637, USA
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Shupler M, Huybrechts K, Leung M, Wei Y, Schwartz J, Li L, Koutrakis P, Hernández-Díaz S, Papatheodorou S. Short-Term Increases in NO 2 and O 3 Concentrations during Pregnancy and Stillbirth Risk in the U.S.: A Time-Stratified Case-Crossover Study. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024; 58:1097-1108. [PMID: 38175714 PMCID: PMC11152641 DOI: 10.1021/acs.est.3c05580] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/05/2024]
Abstract
Associations between gaseous pollutant exposure and stillbirth have focused on exposures averaged over trimesters or gestation. We investigated the association between short-term increases in nitrogen dioxide (NO2) and ozone (O3) concentrations and stillbirth risk among a national sample of 116 788 Medicaid enrollees from 2000 to 2014. A time-stratified case-crossover design was used to estimate distributed (lag 0-lag 6) and cumulative lag effects, which were adjusted for PM2.5 concentration and temperature. Effect modification by race/ethnicity and proximity to hydraulic fracturing (fracking) wells was assessed. Short-term increases in the NO2 and O3 concentrations were not associated with stillbirth in the overall sample. Among American Indian individuals (n = 1694), a 10 ppb increase in NO2 concentrations was associated with increased stillbirth odds at lag 0 (5.66%, 95%CI: [0.57%, 11.01%], p = 0.03) and lag 1 (4.08%, 95%CI: [0.22%, 8.09%], p = 0.04) but not lag 0-6 (7.12%, 95%CI: [-9.83%, 27.27%], p = 0.43). Among participants living in zip codes within 15 km of active fracking wells (n = 9486), a 10 ppb increase in NO2 concentration was associated with increased stillbirth odds in single-day lags (2.42%, 95%CI: [0.37%, 4.52%], p = 0.02 for lag 0 and 1.83%, 95%CI: [0.25%, 3.43%], p = 0.03 for lag 1) but not the cumulative lag (lag 0-6) (4.62%, 95%CI: [-2.75%, 12.55%], p = 0.22). Odds ratios were close to the null in zip codes distant from fracking wells. Future studies should investigate the role of air pollutants emitted from fracking and potential racial disparities in the relationship between short-term increases in NO2 concentrations and stillbirth.
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Affiliation(s)
- Matthew Shupler
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts 02115, United States
| | - Krista Huybrechts
- Division of Pharmacoepidemiology & Pharmacoeconomics, Harvard Medical School, Boston, Massachusetts 02115, United States
| | - Michael Leung
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts 02115, United States
| | - Yaguang Wei
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts 02115, United States
| | - Joel Schwartz
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts 02115, United States
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts 02115, United States
| | - Longxiang Li
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts 02115, United States
| | - Petros Koutrakis
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts 02115, United States
| | - Sonia Hernández-Díaz
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts 02115, United States
| | - Stefania Papatheodorou
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts 02115, United States
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Johnson M, Mazur L, Fisher M, Fraser WD, Sun L, Hystad P, Gandhi CK. Prenatal Exposure to Air Pollution and Respiratory Distress in Term Newborns: Results from the MIREC Prospective Pregnancy Cohort. ENVIRONMENTAL HEALTH PERSPECTIVES 2024; 132:17007. [PMID: 38271058 PMCID: PMC10810300 DOI: 10.1289/ehp12880] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 11/03/2023] [Accepted: 12/11/2023] [Indexed: 01/27/2024]
Abstract
BACKGROUND Respiratory distress is the leading cause of neonatal morbidity and mortality worldwide, and prenatal exposure to air pollution is associated with adverse long-term respiratory outcomes; however, the impact of prenatal air pollution exposure on neonatal respiratory distress has not been well studied. OBJECTIVES We examined associations between prenatal exposures to fine particular matter (PM 2.5 ) and nitrogen dioxide (NO 2 ) with respiratory distress and related neonatal outcomes. METHODS We used data from the Maternal-Infant Research on Environmental Chemicals (MIREC) Study, a prospective pregnancy cohort (n = 2,001 ) recruited in the first trimester from 10 Canadian cities. Prenatal exposures to PM 2.5 (n = 1,321 ) and NO 2 (n = 1,064 ) were estimated using land-use regression and satellite-derived models coupled with ground-level monitoring and linked to participants based on residential location at birth. We calculated odds ratios (ORs) and 95% confidence intervals (CIs) for associations between air pollution and physician-diagnosed respiratory distress in term neonates in hierarchical logistic regression models adjusting for detailed maternal and infant covariates. RESULTS Approximately 7 % of newborns experienced respiratory distress. Neonates received clinical interventions including oxygen therapy (6%), assisted ventilation (2%), and systemic antibiotics (3%). Two percent received multiple interventions and 4% were admitted to the neonatal intensive care unit (NICU). Median PM 2.5 and NO 2 concentrations during pregnancy were 8.81 μ g / m 3 and 18.02 ppb , respectively. Prenatal exposures to air pollution were not associated with physician-diagnosed respiratory distress, oxygen therapy, or NICU admissions. However, PM 2.5 exposures were strongly associated with assisted ventilation (OR per 1 - μ g / m 3 increase in PM 2.5 = 1.17 ; 95% CI: 1.02, 1.35), multiple clinical interventions (OR per 1 - μ g / m 3 increase in PM 2.5 = 1.16 ; 95% CI: 1.07, 1.26), and systemic antibiotics, (OR per 1 - μ g / m 3 increase in PM 2.5 = 1.12 ; 95% CI: 1.04, 1.21). These associations were consistent across exposure periods-that is, during prepregnancy, individual trimesters, and total pregnancy-and robust to model specification. NO 2 exposure was associated with administration of systemic antibiotics (OR per 1-ppb increase in NO 2 = 1.03 ; 95% CI: 1.00, 1.06). DISCUSSION Prenatal exposures to PM 2.5 increased the risk of severe respiratory distress among term newborns. These findings support the development and prioritization of public health and prenatal care strategies to increase awareness and minimize prenatal exposures to air pollution. https://doi.org/10.1289/EHP12880.
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Affiliation(s)
- Markey Johnson
- Water and Air Quality Bureau, Health Canada, Ottawa, Ontario, Canada
| | - Lauren Mazur
- Department of Pediatrics, Penn State College of Medicine, Pennsylvania State University, Hershey, Pennsylvania, USA
| | - Mandy Fisher
- Environmental Health Sciences and Research Bureau, Health Canada, Ottawa, Ontario, Canada
| | - William D. Fraser
- Department of Obstetrics and Gynecology, Centre de Recherche du CHUS, University of Sherbrooke, Sherbrooke, Québec, Canada
| | - Liu Sun
- Water and Air Quality Bureau, Health Canada, Ottawa, Ontario, Canada
| | - Perry Hystad
- School of Biological and Population Health Sciences, Oregon State University, Corvallis, Oregon, USA
| | - Chintan K. Gandhi
- Department of Pediatrics, Penn State College of Medicine, Pennsylvania State University, Hershey, Pennsylvania, USA
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Quinteros ME, Blazquez C, Ayala S, Kilby D, Cárdenas-R JP, Ossa X, Rosas-Diaz F, Stone EA, Blanco E, Delgado-Saborit JM, Harrison RM, Ruiz-Rudolph P. Development of Spatio-Temporal Land Use Regression Models for Fine Particulate Matter and Wood-Burning Tracers in Temuco, Chile. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023; 57:19473-19486. [PMID: 37976408 DOI: 10.1021/acs.est.3c00720] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/19/2023]
Abstract
Biomass burning is common in much of the world, and in some areas, residential wood-burning has increased. However, air pollution resulting from biomass burning is an important public health problem. A sampling campaign was carried out between May 2017 and July 2018 in over 64 sites in four sessions, to develop a spatio-temporal land use regression (LUR) model for fine particulate matter (PM) and wood-burning tracers levoglucosan and soluble potassium (Ksol) in a city heavily impacted by wood-burning. The mean (sd) was 46.5 (37.4) μg m-3 for PM2.5, 0.607 (0.538) μg m-3 for levoglucosan, and 0.635 (0.489) μg m-3 for Ksol. LUR models for PM2.5, levoglucosan, and Ksol had a satisfactory performance (LOSOCV R2), explaining 88.8%, 87.4%, and 87.3% of the total variance, respectively. All models included sociodemographic predictors consistent with the pattern of use of wood-burning in homes. The models were applied to predict concentrations surfaces and to estimate exposures for an epidemiological study.
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Affiliation(s)
- María Elisa Quinteros
- Departamento de Salud Pública, Facultad de Ciencias de la Salud, Universidad de Talca, Avenida Lircay s/n, Talca, 3460000, Chile
- Programa Doctorado en Salud Pública, Instituto de Salud Poblacional, Facultad de Medicina, Universidad de Chile, Independencia 939, Santiago, 1025000, Chile
| | - Carola Blazquez
- Department of Engineering Sciences, Universidad Andres Bello, Quillota 980, Viña del Mar, 2531015, Chile
| | - Salvador Ayala
- Programa Doctorado en Salud Pública, Instituto de Salud Poblacional, Facultad de Medicina, Universidad de Chile, Independencia 939, Santiago, 1025000, Chile
- Departamento Agencia Nacional de Dispositivos Médicos, Innovación y Desarrollo, Instituto de Salud Pública de Chile, Marathon 1000, Ñuñoa, Santiago 0000000000, Chile
| | - Dylan Kilby
- School of Public Health, University of Michigan, 1415 Washington Heights, Ann Arbor, Michigan 48109, United States
| | - Juan Pablo Cárdenas-R
- Departamento de Ingeniería en Obras Civiles, Universidad de La Frontera, Avenida Francisco Salazar 01145, Temuco, Chile
- Facultad de Arquitectura, Construcción y Medio Ambiente, Universidad Autónoma de Chile, Temuco 4810101, Chile
| | - Ximena Ossa
- Departamento de Salud Pública y Centro de Excelencia CIGES, Universidad de la Frontera, Caro Solar 115, Temuco, 4780000, Chile
| | - Felipe Rosas-Diaz
- Facultad de Ingeniería Civil, Universidad Autónoma de Nuevo León, San Nicolás de Los Garza 66451, Nuevo León, México
| | - Elizabeth A Stone
- Department of Chemistry and Department of Chemical and Biochemical Engineering, University of Iowa, Iowa City, Iowa 52242, United States
| | - Estela Blanco
- Programa Doctorado en Salud Pública, Instituto de Salud Poblacional, Facultad de Medicina, Universidad de Chile, Independencia 939, Santiago, 1025000, Chile
- Centro de Investigación en Sociedad y Salud and Núcleo Milenio de Sociomedicina, Universidad Mayor, Santiago, 7510041, Chile
| | - Juana-María Delgado-Saborit
- Perinatal Epidemiology, Environmental Health and Clinical Research, School of Medicine, Universitat Jaume I, Avinguda de Vicent Sos Baynat, s/n, 12071 Castelló de la Plana, Castellon Spain
- Environmental Research Group, MRC Centre for Environment and Health, Imperial College London, London, SW7 2BX, United Kingdom
- Division of Environmental Health & Risk Management, School of Geography, Earth & Environmental Sciences, University of Birmingham, Edgbaston Birmingham B152TT, U.K
| | - Roy M Harrison
- Division of Environmental Health & Risk Management, School of Geography, Earth & Environmental Sciences, University of Birmingham, Edgbaston Birmingham B152TT, U.K
- Department of Environmental Sciences/Center of Excellence in Environmental Studies, King Abdulaziz University, PO Box 80203, Jeddah, 21589, Saudi Arabia
| | - Pablo Ruiz-Rudolph
- * Programa de Epidemiología, Instituto de Salud Poblacional, Facultad de Medicina, Universidad de Chile, Independencia 939, Santiago 1025000, Chile
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Bartha I, De La Fuente M, Martinez‐Sanchez N, De La Calle M, Martin Boado E, Bartha JL. The influence of air pollution on gestational age at delivery and birthweight in patients with or without respiratory allergy: A nested case-control study. Acta Obstet Gynecol Scand 2023; 102:1593-1601. [PMID: 37602745 PMCID: PMC10577623 DOI: 10.1111/aogs.14655] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2023] [Revised: 06/15/2023] [Accepted: 07/18/2023] [Indexed: 08/22/2023]
Abstract
INTRODUCTION Air pollution is a current major health issue. The burden of airborne pollutants and aeroallergen levels varies throughout the year, as well as their interaction and consequences. Prenatal exposure during pregnancy has been associated with adverse perinatal outcomes. The aim of this study was to evaluate the impact of air pollutants on perinatal outcomes in patients with or without respiratory allergy. MATERIAL AND METHODS Nested case-control retrospective study on 3006 pregnant women. Correlations between concentrations of common pollutants in each trimester of pregnancy and on average during the whole pregnancy and both gestational age at delivery and birthweight were studied. Pearson's correlation coefficient and binary logistic regression were used. RESULTS In general, pollutants correlated more strongly with birthweight than with gestational age at delivery. Nine-month NO2 , SO2 , CO, and benzene, and second-trimester CO negatively correlated with birthweight, whereas only first-trimester NO2 showed a very mild correlation with gestational age at delivery. Negative correlations between pollutants and birthweight were much stronger in the respiratory allergy group (n = 43; 1.4%) than in the non-allergic group. After adjustments, the most significant predictive pollutant of birthweight was SO2 in both groups. The best predictive model was much stronger in the allergic group for third-trimester SO2 (R2 = 0.12, p = 0.02) than in the non-allergic group for total SO2 (R2 = 0.002, p = 0.02). For each unit that SO2 increased, birthweight reduced by 3.22% vs. 1.28% in each group, respectively. CONCLUSIONS Air pollutant concentrations, especially SO2 , negatively influenced birthweight. The impact of this association was much stronger and more relevant in the group of women with respiratory allergies.
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Affiliation(s)
- Irene Bartha
- Faculty of MedicineUniversidad Autónoma de MadridMadridSpain
- Department of Women and Children's Health (Paediatric Allergy), School of Life Course Sciences, Faculty of Life Sciences and MedicineKing's College London and Guy's and St Thomas' NHS Foundation TrustLondonUK
| | - Miguel De La Fuente
- Department of Neonatology, Faculty of Life Sciences and MedicineKing's College London and Guy's and St Thomas' NHS Foundation TrustLondonUK
| | | | - María De La Calle
- Department of Obstetrics and GynecologyUniversity Hospital La PazMadridSpain
| | - Elena Martin Boado
- Department of Obstetrics and GynecologyUniversity Hospital La PazMadridSpain
| | - José Luis Bartha
- Faculty of MedicineUniversidad Autónoma de MadridMadridSpain
- Department of Obstetrics and GynecologyUniversity Hospital La PazMadridSpain
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Li S, Li L, Zhang C, Fu H, Yu S, Zhou M, Guo J, Fang Z, Li A, Zhao M, Zhang M, Wang X. PM2.5 leads to adverse pregnancy outcomes by inducing trophoblast oxidative stress and mitochondrial apoptosis via KLF9/CYP1A1 transcriptional axis. eLife 2023; 12:e85944. [PMID: 37737576 PMCID: PMC10584374 DOI: 10.7554/elife.85944] [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: 01/04/2023] [Accepted: 09/21/2023] [Indexed: 09/23/2023] Open
Abstract
Epidemiological studies have demonstrated that fine particulate matter (PM2.5) is associated with adverse obstetric and postnatal metabolic health outcomes, but the mechanism remains unclear. This study aimed to investigate the toxicological pathways by which PM2.5 damaged placental trophoblasts in vivo and in vitro. We confirmed that PM2.5 induced adverse gestational outcomes such as increased fetal mortality rates, decreased fetal numbers and weight, damaged placental structure, and increased apoptosis of trophoblasts. Additionally, PM2.5 induced dysfunction of the trophoblast cell line HTR8/SVneo, including in its proliferation, apoptosis, invasion, migration and angiogenesis. Moreover, we comprehensively analyzed the transcriptional landscape of HTR8/SVneo cells exposed to PM2.5 through RNA-Seq and observed that PM2.5 triggered overexpression of pathways involved in oxidative stress and mitochondrial apoptosis to damage HTR8/SVneo cell biological functions through CYP1A1. Mechanistically, PM2.5 stimulated KLF9, a transcription factor identified as binding to CYP1A1 promoter region, which further modulated the CYP1A1-driven downstream phenotypes. Together, this study demonstrated that the KLF9/CYP1A1 axis played a crucial role in the toxic progression of PM2.5 induced adverse pregnancy outcomes, suggesting adverse effects of environmental pollution on pregnant females and putative targeted therapeutic strategies.
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Affiliation(s)
- Shuxian Li
- Key Laboratory of Birth Regulation and Control Technology of National Health Commission of China, Maternal and Child Health Care Hospital of Shandong Province Affiliated to Qingdao UniversityJinanChina
| | - Lingbing Li
- The Second Hospital, Cheeloo College of Medicine, Shandong UniversityJinanChina
| | - Changqing Zhang
- Key Laboratory of Birth Regulation and Control Technology of National Health Commission of China, Maternal and Child Health Care Hospital of Shandong Province Affiliated to Qingdao UniversityJinanChina
| | - Huaxuan Fu
- Jinan Environmental Monitoring Center of Shandong ProvinceJinanChina
| | - Shuping Yu
- School of Public Health, Weifang Medical UniversityWeifangChina
| | - Meijuan Zhou
- Key Laboratory of Birth Regulation and Control Technology of National Health Commission of China, Maternal and Child Health Care Hospital of Shandong Province Affiliated to Qingdao UniversityJinanChina
| | - Junjun Guo
- Key Laboratory of Birth Regulation and Control Technology of National Health Commission of China, Maternal and Child Health Care Hospital of Shandong Province Affiliated to Qingdao UniversityJinanChina
| | - Zhenya Fang
- Key Laboratory of Birth Regulation and Control Technology of National Health Commission of China, Maternal and Child Health Care Hospital of Shandong Province Affiliated to Qingdao UniversityJinanChina
| | - Anna Li
- Key Laboratory of Birth Regulation and Control Technology of National Health Commission of China, Maternal and Child Health Care Hospital of Shandong Province Affiliated to Qingdao UniversityJinanChina
| | - Man Zhao
- Key Laboratory of Birth Regulation and Control Technology of National Health Commission of China, Maternal and Child Health Care Hospital of Shandong Province Affiliated to Qingdao UniversityJinanChina
| | - Meihua Zhang
- Key Laboratory of Birth Regulation and Control Technology of National Health Commission of China, Maternal and Child Health Care Hospital of Shandong Province Affiliated to Qingdao UniversityJinanChina
| | - Xietong Wang
- Key Laboratory of Birth Regulation and Control Technology of National Health Commission of China, Maternal and Child Health Care Hospital of Shandong Province Affiliated to Qingdao UniversityJinanChina
- Department of Obstetrics and Gynecology, Shandong Provincial Hospital Affiliated to Shandong First Medical UniversityJinanChina
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Zheng Y, McElrath T, Cantonwine D, Hu H. Longitudinal Associations between Ambient Air Pollution and Angiogenic Biomarkers among Pregnant Women in the LIFECODES Study, 2006-2008. ENVIRONMENTAL HEALTH PERSPECTIVES 2023; 131:87005. [PMID: 37556304 PMCID: PMC10411633 DOI: 10.1289/ehp11909] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 06/21/2023] [Accepted: 07/12/2023] [Indexed: 08/11/2023]
Abstract
BACKGROUND Exposures to ambient air pollution during pregnancy have been linked to adverse pregnancy outcomes such as preeclampsia and fetal growth restriction. Although evidence has shown that women with preeclampsia have higher ratio of soluble fms-like tyrosine kinase 1 to placental growth factor (sFlt-1/PlGF ratio), the potential impact of air pollution on markers of placental growth and function has not been well studied. OBJECTIVES We aimed to examine longitudinal associations between ambient air pollution exposure and angiogenic factors among pregnant women in LIFECODES, a prospective birth cohort and biorepository in Massachusetts in the United States. METHODS PlGF and sFlt-1 were measured among pregnant women using plasma samples collected around 10, 18, 26, and 35 wk' gestation. Women's exposures to ozone (O 3 ), fine particulate matter with aerodynamic diameter ≤ 2.5 μ m (PM 2.5 ), and nitrogen dioxide (NO 2 ) within 1, 2, 4, and 8 wk prior to each plasma sample collection were estimated based on geocoded residential addresses, and mixed effect linear regression models were fitted to assess their associations with sFlt-1/PlGF ratio, sFlt-1 (ng/mL), and PlGF (pg/mL). Percent changes in outcomes associated with each interquartile range increase in exposures were reported, along with their 95% confidence intervals. RESULTS A total of 1,066 pregnant women were included. In the multipollutant models, significant associations were observed for increased sFlt-1/PlGF ratio (PM 2.5 3-8 wk' gestation, NO 2 : 35-39 wk' gestation), elevated sFlt-1 (O 3 : 26-34 wk' gestation, PM 2.5 : 3-8 wk' gestation), decreased sFlt-1 (NO 2 : 4-8 wk' gestation), and decreased PlGF (NO 2 : 34-39 wk' gestation) after adjusting for sociodemographic status, smoking, drinking, body mass index, parity, history of chronic hypertension, and conception time. DISCUSSION Exposures to PM 2.5 during early pregnancy and exposures to O 3 and NO 2 during late pregnancy were associated with increased sFlt-1/PlGF ratio, elevated sFlt-1 and with decreased PlGF, which may be a potential mechanism underlying ambient air pollution's impacts on adverse pregnancy and birth outcomes. https://doi.org/10.1289/EHP11909.
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Affiliation(s)
- Yi Zheng
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Thomas McElrath
- Division of Maternal-Fetal Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - David Cantonwine
- Division of Maternal-Fetal Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Hui Hu
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
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12
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Jana A, Dey D, Ghosh R. Contribution of low birth weight to childhood undernutrition in India: evidence from the national family health survey 2019-2021. BMC Public Health 2023; 23:1336. [PMID: 37438769 DOI: 10.1186/s12889-023-16160-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Accepted: 06/20/2023] [Indexed: 07/14/2023] Open
Abstract
BACKGROUND Infants born with low birth weight (LBW), i.e. less than 2500g, is considered an important factor of malnutrition in Asia. In India, research related to this issue is still neglected and limited. Evidence exists that a large number of child deaths occur in India due to maternal and child malnutrition-related complications. Moreover, it has been found that the cost of malnutrition in India results in a significant reduction of the country's Gross Domestic Product (GDP). Thus, in this current context, this study aims to explore the contribution of low birth weight to childhood undernutrition in India. METHODS The study used data from the 5th round of the National Family Health Survey (NFHS-5), a large-scale survey conducted in India. The survey collected information from 176,843 mothers and 232,920 children. The study used the last birth information (last children born 5 years preceding the survey) due to the detailed availability of maternal care information. Univariate and bivariate analyses were conducted to determine the percentage distribution of outcome variables. Multivariate logistic regression was employed to examine the association between LBW and undernutrition (stunting, wasting, and underweight). The study also used the Fairlie decomposition analysis to estimate the contribution of LBW to undernutrition among Indian children. RESULTS The results show that childhood undernutrition was higher in states like Uttar Pradesh, Bihar, Jharkhand, Gujarat, and Maharashtra. The results of the logistic regression analysis show that infants born with low birth weight were more likely to be stunted (OR = 1.46; 95% CI: 1.41-1.50), wasted (OR = 1.33; 95% CI: 1.27-1.37), and underweight (OR = 1.76; 95% CI: 1.70-1.82) in their childhood compared to infants born without low birth weight. The findings from the decomposition analysis explained that approximately 14.8% of the difference in stunting, 10.4% in wasting, and 9.6% in underweight among children born with low birth weight after controlling for the individuals' selected characteristics. CONCLUSION The findings suggest that LBW has a significant contribution to malnutrition. The study suggests that policymakers should prioritize strengthening maternal and child healthcare schemes, particularly focusing on antenatal and postnatal care, as well as kangaroo mother care at the grassroots level to reduce the burden of LBW and undernourished children.
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Affiliation(s)
- Arup Jana
- Research Scholar, International Institute for Population Sciences, Mumbai, Maharashtra, 400088, India
| | - Deepshikha Dey
- MPhil., International Institute for Population Sciences, Mumbai, Maharashtra, 400088, India
| | - Ranjita Ghosh
- PhD Scholar, Institute for Social and Economic Change, Karnataka, 560072, India.
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13
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Buteau S, Veira P, Bilodeau-Bertrand M, Auger N. Association between First Trimester Exposure to Ambient PM2.5 and NO2 and Congenital Heart Defects: A Population-Based Cohort Study of 1,342,198 Live Births in Canada. ENVIRONMENTAL HEALTH PERSPECTIVES 2023; 131:67009. [PMID: 37339064 PMCID: PMC10281560 DOI: 10.1289/ehp11120] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Revised: 05/27/2023] [Accepted: 05/31/2023] [Indexed: 06/22/2023]
Abstract
BACKGROUND The extent to which ambient air pollution contributes to the pathogenesis of congenital heart defects remains uncertain. OBJECTIVE We investigated whether first trimester exposure to ambient fine particulate matter (PM2.5) and nitrogen dioxide (NO2) was associated with the risk of critical and noncritical heart defects in a large population-based cohort of births. METHODS We carried out a retrospective cohort study of children conceived between 2000 and 2016 in Quebec, Canada. Heart defects were identified via data from the Maintenance and Use of Data for the Study of Hospital Clientele registry. The main exposures were average concentration of PM2.5 and NO2 in a) the first trimester and b) the month of conception. Exposures were estimated at the residential postal code. Associations with critical and noncritical heart defects were assessed using logistic regression models, adjusted for maternal and infant characteristics. We considered single- and two-pollutant models and assessed modifying effects of maternal comorbidity, including preexisting hypertension, preeclampsia, anemia, and diabetes. RESULTS The cohort comprised 1,342,198 newborns, including 12,715 with heart defects. Exposure in the first trimester and month of conception yielded similar results; both were associated with a greater risk of heart defects. Adjusted odds ratios (OR) for any heart defect per interquartile range increase were 1.02 (95% CI: 1.00, 1.05) for PM2.5 and 1.10 (95% CI: 1.07, 1.13) for NO2. Associations with atrial septal defects were 1.08 (95% CI: 1.03, 1.14) for PM2.5 and 1.19 (95% CI: 1.12, 1.25) for NO2. Corresponding ORs for ventricular septal defects and individual critical heart defects were not significant. PM2.5 (OR=1.11; 95% CI: 1.06, 1.17) and NO2 (OR=1.23; 95% CI: 1.17, 1.31) exposure were associated with a greater risk of heart defects in mothers with comorbidity. DISCUSSION In this population-based cohort, prenatal exposure to ambient air pollution during the first trimester was associated with an increased risk of heart defects, particularly atrial septal defects. The association with heart defects was greater in mothers with comorbidity. https://doi.org/10.1289/EHP11120.
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Affiliation(s)
- Stéphane Buteau
- Institut national de santé publique du Québec, Montreal, Quebec, Canada
- Department of Environmental and Occupational Health, School of Public Health, University of Montreal, Montreal, Quebec, Canada
| | - Paige Veira
- Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Quebec, Canada
| | | | - Nathalie Auger
- Institut national de santé publique du Québec, Montreal, Quebec, Canada
- Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Quebec, Canada
- University of Montreal Hospital Research Centre, University of Montreal, Montreal, Quebec, Canada
- Department of Social and Preventive Medicine, University of Montreal, Montreal, Quebec, Canada
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14
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Sanders B, Davis M. Effects of Climate Change and Air Pollution on Perinatal Health. J Midwifery Womens Health 2023; 68:383-390. [PMID: 37254462 DOI: 10.1111/jmwh.13522] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
Abstract
Climate change is often framed as an environmental concern; however, the burning of fossil fuels both directly and indirectly impacts air quality and, thus, human health. Gas byproducts of combustion lead to increased levels of atmospheric ozone and carbon dioxide, which in turn elevate surface temperatures of the earth. This process exposes individuals to respiratory irritants and contributes to increased frequency of natural disasters such as wildfires, negatively impacting respiratory health. Normal physiologic changes in the respiratory system make pregnant people particularly vulnerable to the effects of air pollution. Asthma and allergic rhinitis are 2 common respiratory diseases that can be triggered by poor air quality. Solutions to limit the impact of climate change on respiratory disease include risk mitigation and reduction of fossil fuel consumption on individual, organization, and community levels. Midwives are well positioned as clinicians to educate people about individual strategies to reduce environmental exposure to respiratory irritants and advocate for policy changes to limit future health effects of climate change.
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Affiliation(s)
- Bethany Sanders
- Vanderbilt University School of Nursing, Nashville, Tennessee
| | - Melissa Davis
- Vanderbilt University School of Nursing, Nashville, Tennessee
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Guo L, Lin H, Li H, Jin X, Zhao L, Li P, Xu N, Xu S, Fang J, Wu S, Liu Q. Exposure of ambient PM 2.5 during gametogenesis period affects the birth outcome: Results from the project ELEFANT. ENVIRONMENTAL RESEARCH 2023; 220:115204. [PMID: 36592810 DOI: 10.1016/j.envres.2022.115204] [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: 10/12/2022] [Revised: 12/02/2022] [Accepted: 12/30/2022] [Indexed: 06/17/2023]
Abstract
Various environmental and behavioural factors influence neonatal health. Gamete formation (gametogenesis) is a crucial period which affects embryo development and neonatal health and ambient air pollution exposure at this stage may lead to an adverse birth outcome. Previous epidemiological and toxicological research demonstrated a strong association between maternal ambient air pollution exposure and adverse birth outcomes. However, the joint exposure-outcome of paternal exposure (76 days before the last menstruation and 14 days after the last menstruation) and maternal exposure (14 days after the last menstruation) when exploring the mechanism of the influence of air pollutants on pregnancy outcome and neonatal health remains unexplored. Here, in the Project Environmental and LifEstyle FActors iN metabolic health throughout life-course Trajectories (ELEFANT), we collected the data of 10,960 singleton pregnant women with 24-42 completed gestational weeks and included them in this study. A multinominal logistic regression model was applied to investigate the association between adverse birth outcomes and ambient PM2.5 exposure levels during spermatogenesis and oogenesis. Results from the binary classification of ambient PM2.5 exposure showed that the risk of abnormal birthweight was significantly greater when ambient PM2.5 exposure was both higher during spermatogenesis and oogenesis, with RRs of 1.86 (95% CI: 1.02, 3.39). The risk of macrosomia (RR: 1.88 (95% CI: 1.13, 3.12)) increased significantly when ambient PM2.5 levels were higher during spermatogenesis. Primiparity and primigravity are more likely to be influenced by higher ambient PM2.5 levels during spermatogenesis. In conclusion, more attention should be paid to higher exposure level of ambient PM2.5 during spermatogenesis.
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Affiliation(s)
- Liqiong Guo
- Institute of Disaster and Emergency Medicine, Tianjin University, Tianjin, 300072, China; Wenzhou Safety (Emergency) Institute, Tianjin University, Wenzhou, 325000, China; Tianjin Key Laboratory of Disaster Medicine Technology, Tianjin, 300072, China
| | - Huishu Lin
- Institute of Disaster and Emergency Medicine, Tianjin University, Tianjin, 300072, China; Wenzhou Safety (Emergency) Institute, Tianjin University, Wenzhou, 325000, China; Tianjin Key Laboratory of Disaster Medicine Technology, Tianjin, 300072, China
| | - Hongyu Li
- Office for National Clinical Research Center for Geriatric Diseases, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, China
| | - Xiaobin Jin
- Wenzhou Safety (Emergency) Institute, Tianjin University, Wenzhou, 325000, China
| | - Lei Zhao
- Institute of Disaster and Emergency Medicine, Tianjin University, Tianjin, 300072, China; Wenzhou Safety (Emergency) Institute, Tianjin University, Wenzhou, 325000, China; Tianjin Key Laboratory of Disaster Medicine Technology, Tianjin, 300072, China
| | - Penghui Li
- Department of Environmental Science, School of Environmental Science and Safety Engineering, Tianjin University of Technology, Tianjin, China
| | - Naiwei Xu
- Department of Operation Management, Tianjin Medical University General Hospital, Tianjin, 300052, China
| | - Song Xu
- Department of Operation Management, Tianjin Medical University General Hospital, Tianjin, 300052, China
| | - Junkai Fang
- Tianjin Healthcare Affair Center, Tianjin, 300041, China
| | - Shaowei Wu
- Department of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, 710061, Shanxi, China.
| | - Qisijing Liu
- Research Institute of Public Health, School of Medicine, Nankai University, Tianjin, China.
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Soesanti F, Uiterwaal CSPM, Meliefste K, Chen J, Brunekreef B, Idris NS, Grobbee DE, Klipstein-Grobusch K, Hoek G. The effect of exposure to traffic related air pollutants in pregnancy on birth anthropometry: a cohort study in a heavily polluted low-middle income country. Environ Health 2023; 22:22. [PMID: 36843017 PMCID: PMC9969650 DOI: 10.1186/s12940-023-00973-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 02/16/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND Ambient air pollution has been recognized as one of the most important environmental health threats. Exposure in early life may affect pregnancy outcomes and the health of the offspring. The main objective of our study was to assess the association between prenatal exposure to traffic related air pollutants during pregnancy on birth weight and length. Second, to evaluate the association between prenatal exposure to traffic related air pollutants and the risk of low birth weight (LBW). METHODS Three hundred forty mother-infant pairs were included in this prospective cohort study performed in Jakarta, March 2016-September 2020. Exposure to outdoor PM2.5, soot, NOx, and NO2 was assessed by land use regression (LUR) models at individual level. Multiple linear regression models were built to evaluate the association between air pollutants with birth weight (BW) and birth length (BL). Logistic regression was used to assess the risk of low birth weight (LBW) associated with all air pollutants. RESULTS The average PM2.5 concentration was almost eight times higher than the current WHO guideline and the NO2 level was three times higher. Soot and NOx were significantly associated with reduced birth length. Birth length was reduced by - 3.83 mm (95% CI -6.91; - 0.75) for every IQR (0.74 × 10- 5 per m) increase of soot, and reduced by - 2.82 mm (95% CI -5.33;-0.30) for every IQR (4.68 μg/m3) increase of NOx. Outdoor air pollutants were not significantly associated with reduced birth weight nor the risk of LBW. CONCLUSION Exposure to soot and NOx during pregnancy was associated with reduced birth length. Associations between exposure to all air pollutants with birth weight and the risk of LBW were less convincing.
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Affiliation(s)
- Frida Soesanti
- Department of Child Health, Faculty of Medicine, Universitas Indonesia/Cipto Mangunkusumo General Hospital, Jakarta, Indonesia.
- Julius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
| | - Cuno S P M Uiterwaal
- Julius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Kees Meliefste
- Environmental and Occupational Health Group Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, the Netherlands
| | - Jie Chen
- Environmental and Occupational Health Group Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, the Netherlands
| | - Bert Brunekreef
- Environmental and Occupational Health Group Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, the Netherlands
| | - Nikmah S Idris
- Department of Child Health, Faculty of Medicine, Universitas Indonesia/Cipto Mangunkusumo General Hospital, Jakarta, Indonesia
- Julius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Diederick E Grobbee
- Julius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Kerstin Klipstein-Grobusch
- Julius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
- Division of Epidemiology and Biostatistics, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Gerard Hoek
- Environmental and Occupational Health Group Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, the Netherlands
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Jana A, Saha UR, Reshmi RS, Muhammad T. Relationship between low birth weight and infant mortality: evidence from National Family Health Survey 2019-21, India. Arch Public Health 2023; 81:28. [PMID: 36803539 PMCID: PMC9942291 DOI: 10.1186/s13690-023-01037-y] [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: 06/25/2022] [Accepted: 02/07/2023] [Indexed: 02/22/2023] Open
Abstract
BACKGROUND Low birth weight (LBW) predisposes physical and mental growth failure and premature death among infants. Studies report that LBW predominately explains infant mortality. However, existing studies rarely demonstrate the phenomenon of both observed and unobserved factors, which may influence the likelihood of birth and mortality outcomes simultaneously. In this study, we identified the spatial clustering of the prevalence of LBW along with its determinants. Further, the relationship between of LBW and infant mortality, considering the unobserved factors, has been explored in the study. METHODS Data for this study have been extracted from the National Family Health Survey (NFHS) round 5, 2019-21. We used the directed acyclic graph model to identify the potential predictors of LBW and infant mortality. Moran's I statistics have been used to identify the high-risk areas of LBW. We applied conditional mixed process modelling in Stata software to account for the simultaneous nature of occurrences of the outcomes. The final model has been performed after imputing the missing data of LBW. RESULTS Overall, in India, 53% of the mothers reported their babies' birth weight by seeing health card, 36% reported by recall, and about 10% of the LBW information was observed as missing. The state/union territory of Punjab and Delhi were observed to have the highest levels of LBW (about 22%) which is much higher than the national level (18%). The effect of LBW was more than four times larger compared to the effect in the analysis which does not account for the simultaneous occurrence of LBW and infant mortality (marginal effect; from 12 to 53%). Also, in a separate analysis, the imputation technique has been used to address the missing data. Covariates' effects showed that female children, higher order births, births that occur in Muslim and non-poor families and literate mothers were negatively associated with infant mortality. However, a significant difference was observed in the impact of LBW before and after imputing the missing values. CONCLUSIONS The current findings showed the significant association of LBW with infant deaths, highlighting the importance of prioritising policies that help improve the birth weight of new-born children that may significantly reduce the infant mortality in India.
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Affiliation(s)
- Arup Jana
- International Institute for Population Sciences, Deonar, Mumbai, 400088, India.
| | - Unnati Rani Saha
- grid.5645.2000000040459992XDepartment of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - R. S. Reshmi
- grid.419349.20000 0001 0613 2600International Institute for Population Sciences, Deonar, Mumbai, 400088 India
| | - T. Muhammad
- grid.419349.20000 0001 0613 2600International Institute for Population Sciences, Deonar, Mumbai, 400088 India
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Xiao H, Yao C, Qi Z, Liu J, Liu X, Zhou Y, Tang E, Hu Y, Jiang Y, Li D, Du N, Li N, Li Y, Ji A, Cai T. Association between maternal short-term exposure to ambient air pollution and the risk of fetal distress: A matched case-control study. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 860:160438. [PMID: 36435241 DOI: 10.1016/j.scitotenv.2022.160438] [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: 07/28/2022] [Revised: 11/15/2022] [Accepted: 11/19/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND Ambient air pollution has been linked to gestational complications. However, the evidence on the relationship between air pollution and fetal distress is limited. OBJECTIVES To investigate the relationship between maternal short-term air pollution exposure and fetal distress, and to identify a potential susceptible population. METHODS This matched case-control study, involving 313 pregnancy women with fetal distress was conducted in Xi'an, the largest city in Northwest China from 2013 to 2016. Each woman with fetal distress was randomly matched with four women without fetal distress of the same age, same gestational week, and registration in the same period (n = 1252). Inverse distance-weighted (IDW) interpolation was applied to estimate maternal air pollution exposure based on the residential addresses. We employed conditional logistic regression model to evaluate the relationship between air pollutants and fetal distress. Distributed lag nonlinear model (DLNM) was performed to examine the exposure-response relationship between air pollutants and fetal distress. RESULTS Maternal short-term exposure to PM10, PM2.5-10 (PMc), SO2, NO2, and CO was associated with increased risk of fetal distress. Each 10 μg/m3 increment in PM10, PMc, SO2 at lag 014, and NO2 at lag 010, the odds ratio (ORs) of fetal distress were 1.027 (95 % confidence interval (CI): 1.004, 1.050), 1.058 (95 % CI: 1.014, 1.105), 1.140 (95 % CI: 1.029, 1.264), and 1.158 (95 % CI: 1.046, 1.283), respectively. Similarly, with a 0.1 mg/m3 increment in CO at lag 014, the OR of fetal distress was 1.029 (95 % CI: 1.002, 1.058). Stratified analyses showed that the estimate associations of PM10, PM2.5 and CO appeared to be stronger, although not statistically significantly, among women with gestational complications. CONCLUSION Maternal short-term exposure to ambient air pollution may increase the risk of fetal distress. Understanding the detrimental role of air pollution in fetal distress can help us better develop preventative methods in reducing its' impact on maternal and fetal health.
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Affiliation(s)
- Hua Xiao
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing 400038, China
| | - Chunyan Yao
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing 400038, China
| | - Zongli Qi
- Department of Pathology, Shaanxi Provincial People's Hospital, Xi'an 710068, China; Clinical Laboratory, Shaanxi Provincial People's Hospital, Xi'an 710068, China
| | - Jianghong Liu
- Department of Family and Community Health, University of Pennsylvania School of Nursing, Philadelphia, PA 19104, USA
| | - Xiaoling Liu
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing 400038, China
| | - Yumeng Zhou
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing 400038, China
| | - Enjie Tang
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing 400038, China
| | - Yuegu Hu
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing 400038, China
| | - Yuexu Jiang
- The First People's Hospital of Guiyang, Guiyang 550000, China
| | - Dawei Li
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing 400038, China
| | - Ning Du
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing 400038, China
| | - Na Li
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing 400038, China; Department of Nutrition and Food Hygiene, School of Public Health Guizhou Medical University, Guiyang 550025, China
| | - Yafei Li
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing 400038, China
| | - Ailing Ji
- Department of Preventive Medicine, Chongqing Medical and Pharmaceutical College, Chongqing 401331, China.
| | - Tongjian Cai
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing 400038, China.
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Chiarello DI, Ustáriz J, Marín R, Carrasco-Wong I, Farías M, Giordano A, Gallardo FS, Illanes SE, Gutiérrez J. Cellular mechanisms linking to outdoor and indoor air pollution damage during pregnancy. Front Endocrinol (Lausanne) 2023; 14:1084986. [PMID: 36875486 PMCID: PMC9974835 DOI: 10.3389/fendo.2023.1084986] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Accepted: 01/30/2023] [Indexed: 02/17/2023] Open
Abstract
Pregnancies are a critical window period for environmental influences over the mother and the offspring. There is a growing body of evidence associating indoor and outdoor air pollution exposure to adverse pregnancy outcomes such as preterm birth and hypertensive disorders of pregnancy. Particulate matter (PM) could trigger oxi-inflammation and could also reach the placenta leading to placental damage with fetal consequences. The combination of strategies such as risk assessment, advise about risks of environmental exposures to pregnant women, together with nutritional strategies and digital solutions to monitor air quality can be effective in mitigating the effects of air pollution during pregnancy.
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Affiliation(s)
- Delia I. Chiarello
- Cellular Signaling and Differentiation Laboratory (CSDL), School of Medical Technology, Faculty of Medicine and Science, Universidad San Sebastián, Santiago, Chile
- *Correspondence: Delia I. Chiarello, ; Jaime Gutiérrez,
| | - Javier Ustáriz
- Department of Chemical and Bioprocess Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Reinaldo Marín
- Center for Biophysics and Biochemistry (CBB), Venezuelan Institute for Scientific Research (IVIC), Caracas, Venezuela
| | - Ivo Carrasco-Wong
- Cellular Signaling and Differentiation Laboratory (CSDL), School of Medical Technology, Faculty of Medicine and Science, Universidad San Sebastián, Santiago, Chile
| | - Marcelo Farías
- Faculty of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Ady Giordano
- Inorganic Chemistry Department, Faculty of Chemistry and of Pharmacy, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Felipe S. Gallardo
- Faculty of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Sebastián E. Illanes
- Reproductive Biology Program, Center for Biomedical Research and Innovation (CiiB), Universidad de los Andes, Santiago, Chile
- IMPACT, Center of Interventional Medicine for Precision and Advanced Cellular Therapy, Santiago, Chile
- Department of Obstetrics and Gynecology, Faculty of Medicine, Universidad de los Andes, Santiago, Chile
| | - Jaime Gutiérrez
- Cellular Signaling and Differentiation Laboratory (CSDL), School of Medical Technology, Faculty of Medicine and Science, Universidad San Sebastián, Santiago, Chile
- *Correspondence: Delia I. Chiarello, ; Jaime Gutiérrez,
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Lu L, Zhao S, Chen Y. Air pollution and timing of childbirth: a retrospective survey analysis based on birth registration data of Chinese newborns. Front Public Health 2023; 11:1032852. [PMID: 37206867 PMCID: PMC10189152 DOI: 10.3389/fpubh.2023.1032852] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Accepted: 04/07/2023] [Indexed: 05/21/2023] Open
Abstract
Objectives Currently, there is a lack of research on whether people will take action to avoid the harm of air pollution and the heterogeneous behavior of different groups. The goal of this paper is to examine the effects of air pollution on the resulting differential effects on newborns and the timing of pregnancy. Methods Based on a survey of newborns in a total of 32 hospitals in 12 cities across China in 2011, and after matching with city-level air pollution data, a multiple regression statistical method is then used to examine how the pollution level in a certain period is related to the number of conceptions in that certain period, after controlling for region and season fixed effects. Results We first demonstrate that exposure to air pollution during pregnancy is associated with a significant increase in adverse birth outcomes. Most importantly, the empirical results show that the number of conceptions decreased significantly during periods of severe air pollution. Conclusion Evidence suggests that air pollution may be causing some families to delay conception to reduce the possible adverse impact on neonatal outcomes. This helps us to understand the social cost of air pollution more, and then make more accurate environmental policies.
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Affiliation(s)
- Liqi Lu
- School of Economics, Zhejiang University, Hangzhou, Zhejiang, China
| | - Shaoyang Zhao
- School of Economics, Sichuan University, Chengdu, Sichuan Province, China
| | - Yuxiao Chen
- School of Politics and Public Administration, Zhengzhou University, Zhengzhou, Henan Province, China
- *Correspondence: Yuxiao Chen,
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21
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Eriksson A, Abera A, Malmqvist E, Isaxon C. Characterization of fine particulate matter from indoor cooking with solid biomass fuels. INDOOR AIR 2022; 32:e13143. [PMID: 36437670 PMCID: PMC9828024 DOI: 10.1111/ina.13143] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/06/2022] [Revised: 10/09/2022] [Accepted: 10/10/2022] [Indexed: 05/06/2023]
Abstract
Household burning of solid biomass fuels emits pollution particles that are a huge health risk factor, especially in low-income countries (LICs) such as those in Sub-Saharan Africa. In epidemiological studies, indoor exposure is often more challenging to assess than outdoor exposure. Laboratory studies of solid biomass fuels, performed under real-life conditions, are an important path toward improved exposure assessments. Using on- and offline measurement techniques, particulate matter (PM) from the most commonly used solid biomass fuels (charcoal, wood, dung, and crops residue) was characterized in laboratory settings using a way of burning the fuels and an air exchange rate that is representative of real-world settings in low-income countries. All the fuels generated emissions that resulted in concentrations which by far exceed both the annual and the 24-hour-average WHO guidelines for healthy air. Fuels with lower energy density, such as dung, emitted orders of magnitude more than, for example, charcoal. The vast majority of the emitted particles were smaller than 300 nm, indicating high deposition in the alveoli tract. The chemical composition of the indoor pollution changes over time, with organic particle emissions often peaking early in the stove operation. The chemical composition of the emitted PM is different for different biomass fuels, which is important to consider both in toxicological studies and in source apportionment efforts. For example, dung and wood yield higher organic aerosol emissions, and for dung, nitrogen content in the organic PM fraction is higher than for the other fuels. We show that aerosol mass spectrometry can be used to differentiate stove-related emissions from fuel, accelerant, and incense. We argue that further emission studies, targeting, for example, vehicles relevant for LICs and trash burning, coupled with field observations of chemical composition, would advance our understanding of air pollution in LIC. We believe this to be a necessary step for improved air quality policy.
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Affiliation(s)
- Axel Eriksson
- Division of Ergonomics and Aerosol TechnologyLund UniversityLundSweden
| | - Asmamaw Abera
- Ethiopia Institute of Water ResourcesAddis Ababa UniversityAddis AbabaEthiopia
| | - Ebba Malmqvist
- Division of Occupational and Environmental MedicineLund UniversityLundSweden
| | - Christina Isaxon
- Division of Ergonomics and Aerosol TechnologyLund UniversityLundSweden
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22
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Qiao P, Fan K, Bao Y, Yuan L, Kan H, Zhao Y, Cai J, Ying H. Prenatal exposure to fine particulate matter and the risk of spontaneous preterm birth: A population-based cohort study of twins. Front Public Health 2022; 10:1002824. [PMID: 36353284 PMCID: PMC9638056 DOI: 10.3389/fpubh.2022.1002824] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Accepted: 10/07/2022] [Indexed: 01/27/2023] Open
Abstract
Background Studies in singletons have suggested that prenatal exposure to fine particulate matter (PM2.5) and some of its chemical components is associated with an increased risk of preterm birth (PTB). However, no study has been conducted in twins. Purpose To examine the associations of maternal exposure to total PM2.5 mass and its carbonaceous components with PTB in twin pregnancies. Methods A total of 1,515 pairs of twins and their mothers were enrolled from a previous twin birth cohort that had been conducted at the Shanghai First Maternity and Infant Hospital School of Medicine of Tongji University in China. Participants who had iatrogenic PTBs were excluded. Maternal exposure to total PM2.5 mass and two carbonaceous components, namely, organic carbon (OC) and black carbon (BC), was estimated by a satellite-based model. The associations between PM2.5 exposure and the risk of spontaneous PTB were evaluated by logistic regression analysis. Results This study found that exposure to total PM2.5 mass and OC during the second trimester of pregnancy was significantly associated with an increased risk of spontaneous PTB. An interquartile range (IQR) increase in total PM2.5 mass and OC exposure during the second trimester was associated with 48% (OR = 1.48, 95% CI, 1.06, 2.05) and 50% (OR = 1.50, 95% CI, 1.00, 2.25) increases in the odds of PTB, respectively. However, no significant association was found between BC exposure during any exposure window and the risk of PTB. Conclusion The findings suggest that exposure to ambient air pollution with fine particles may be a risk factor for spontaneous PTB in twin pregnancies. The middle stage of pregnancy seems to be a critical window for the impacts of PM2.5 exposure on PTB in twin pregnancies.
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Affiliation(s)
- Ping Qiao
- Departments of Obstetrics, Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, China
| | - Kechen Fan
- Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, China
| | - Yirong Bao
- Departments of Obstetrics, Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, China
| | - Ling Yuan
- Departments of Obstetrics, Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, China
| | - Haidong Kan
- Key Lab of Public Health Safety of the Ministry of Education and National Health Commission Key Laboratory of Health Technology Assessment, School of Public Health, Fudan University, Shanghai, China
| | - Yan Zhao
- Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai, China,*Correspondence: Hao Ying
| | - Jing Cai
- Key Lab of Public Health Safety of the Ministry of Education and National Health Commission Key Laboratory of Health Technology Assessment, School of Public Health, Fudan University, Shanghai, China,Jing Cai
| | - Hao Ying
- Departments of Obstetrics, Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, China,Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai, China,Yan Zhao
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Cho H, Lee EH, Lee KS, Heo JS. Machine learning-based risk factor analysis of adverse birth outcomes in very low birth weight infants. Sci Rep 2022; 12:12119. [PMID: 36183001 PMCID: PMC9526718 DOI: 10.1038/s41598-022-16234-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Accepted: 07/06/2022] [Indexed: 11/09/2022] Open
Abstract
This study aimed to analyze major predictors of adverse birth outcomes in very low birth weight (VLBW) infants including particulate matter concentration (PM10), using machine learning and the national prospective cohort. Data consisted of 10,423 VLBW infants from the Korean Neonatal Network database during January 2013-December 2017. Five adverse birth outcomes were considered as the dependent variables, i.e., gestational age less than 28 weeks, gestational age less than 26 weeks, birth weight less than 1000 g, birth weight less than 750 g and small-for-gestational age. Thirty-three predictors were included and the artificial neural network, the decision tree, the logistic regression, the Naïve Bayes, the random forest and the support vector machine were used for predicting the dependent variables. Among the six prediction models, the random forest had the best performance (accuracy 0.79, area under the receiver-operating-characteristic curve 0.72). According to the random forest variable importance, major predictors of adverse birth outcomes were maternal age (0.2131), birth-month (0.0767), PM10 month (0.0656), sex (0.0428), number of fetuses (0.0424), primipara (0.0395), maternal education (0.0352), pregnancy-induced hypertension (0.0347), chorioamnionitis (0.0336) and antenatal steroid (0.0318). In conclusion, adverse birth outcomes had strong associations with PM10 month as well as maternal and fetal factors.
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Affiliation(s)
- Hannah Cho
- Department of Pediatrics, Korea University College of Medicine, Anam Hospital, 73 Goryeodae-ro, Seongbuk-gu, Seoul, 02841, Korea.,Department of Pediatrics, Korea University Anam Hospital, Seoul, Korea
| | - Eun Hee Lee
- Department of Pediatrics, Korea University College of Medicine, Anam Hospital, 73 Goryeodae-ro, Seongbuk-gu, Seoul, 02841, Korea
| | - Kwang-Sig Lee
- AI Center, Korea University College of Medicine, Anam Hospital, 73 Goryeodae-ro, Seongbuk-gu, Seoul, 02841, Korea.
| | - Ju Sun Heo
- Department of Pediatrics, Korea University College of Medicine, Anam Hospital, 73 Goryeodae-ro, Seongbuk-gu, Seoul, 02841, Korea. .,Department of Pediatrics, Korea University Anam Hospital, Seoul, Korea.
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Tiwari I, Tilstra M, Campbell SM, Nielsen CC, Hodgins S, Osornio Vargas AR, Whitfield K, Sapkota BP, Yamamoto SS. Climate change impacts on the health of South Asian children and women subpopulations - A scoping review. Heliyon 2022; 8:e10811. [PMID: 36203903 PMCID: PMC9529585 DOI: 10.1016/j.heliyon.2022.e10811] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 04/05/2022] [Accepted: 09/23/2022] [Indexed: 11/17/2022] Open
Abstract
Background and objectives Climate change impacts are felt unequally worldwide; populations that experience geographical vulnerability, those living in small island states and densely populated coastal areas, and children and women are affected disproportionately. This scoping review aims to synthesize evidence from relevant studies centred on South Asia, identify research gaps specifically focused on children and women's health, and contribute to knowledge about South Asia's existing mitigation and adaptation strategies. Methods A research librarian executed the search on six databases using controlled vocabulary (e.g., MeSH, Emtree, etc.) and keywords representing the concepts “vulnerable populations” and “climate change” and “health impacts” and “South Asia.” Databases were searched from January 2010 to May 2020. Papers were screened independently by two researchers. Results Forty-two studies were included, of which 23 were based in India, 14 in Bangladesh, and five in other South Asian countries. Nineteen studies focused on meteorological factors as the primary exposure. In contrast, thirteen focused on extreme weather events, nine on air pollution, and one on salinity in coastal areas. Thirty-four studies focused on the health impacts on children related to extreme weather events, meteorological factors, and air pollution, while only eight studies looked at health impacts on women. Undernutrition, ARI (acute respiratory infection), diarrheal diseases, low birth weight, and premature mortality were the major health impacts attributed to extreme weather events, meteorological factors, and air pollution exposure in children and women in the region. Conclusion Extreme weather events, meteorological factors and air pollution have affected the health of children and women in South Asia. However, the gap in the literature across the South Asian countries concerning relationships between exposure to extreme weather events, meteorological factors, air pollution and health effects, including mental health problems in children and women, are opportunities for future work.
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Affiliation(s)
- Ishwar Tiwari
- School of Public Health, University of Alberta, Edmonton, AB, T6G 1C9, Canada
- Corresponding author.
| | - McKenzie Tilstra
- School of Public Health, University of Alberta, Edmonton, AB, T6G 1C9, Canada
| | - Sandra M. Campbell
- John W. Scott Health Science Library, University of Alberta, Edmonton AB, T6G 2R7, Canada
| | - Charlene C. Nielsen
- School of Public Health, University of Alberta, Edmonton, AB, T6G 1C9, Canada
| | - Stephen Hodgins
- School of Public Health, University of Alberta, Edmonton, AB, T6G 1C9, Canada
| | - Alvaro R. Osornio Vargas
- Department of Pediatrics, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, T6G 1C9, Canada
| | - Kyle Whitfield
- School of Urban and Regional Planning, Faculty of Science, University of Alberta, 116 & 85 Ave, Edmonton, AB
| | - Bhim Prasad Sapkota
- Center for International Health, Ludwig-Maximilians-Universität, Munich, Germany
- Ministry of Health and Population, Government of Nepal, Ram Shah Path, Kathmandu, Nepal
| | - Shelby S. Yamamoto
- School of Public Health, University of Alberta, Edmonton, AB, T6G 1C9, Canada
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Dahal U, Veber T, Åström DO, Tamm T, Albreht L, Teinemaa E, Orru K, Orru H. Perinatal Health Inequalities in the Industrial Region of Estonia: A Birth Registry-Based Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:11559. [PMID: 36141830 PMCID: PMC9516979 DOI: 10.3390/ijerph191811559] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Revised: 08/29/2022] [Accepted: 09/02/2022] [Indexed: 06/16/2023]
Abstract
Despite the increasing number of studies on industrially contaminated sites (ICS) and their health effects, there are very few studies on perinatal health outcomes in ICSs. In the present study, we examined the perinatal health inequalities by comparing adverse birth outcomes (ABOs) in the oil shale industry region of Ida-Viru County in Estonia with national-level figures and investigated the effects of maternal environmental and sociodemographic factors. Based on the 208,313 birth records from 2004-2018, Ida-Viru ICS has a birth weight 124.5 g lower than the average of 3544 g in Estonia. A higher prevalence of preterm birth (4.3%) and low birth weight (4.8%) in Ida-Viru ICS is found compared to 3.3% on both indicators at the national level. Multiple logistic regression analysis shows the statistically significant association of ABOs with fine particle (PM2.5) air pollution, mother's ethnicity, and education throughout Estonia. However, in Ida-Viru ICS, the ABOs odds are remarkably higher in these characteristics except for the mother's ethnicity. Furthermore, the ABOs are associated with the residential proximity to ICS. Thus, the Ida-Viru ICS has unequally higher odds of adverse perinatal health across the environmental and sociodemographic factors. In addition to reducing the air pollutants, policy actions on social disparities are vital to address the country's unjustly higher perinatal health inequalities, especially in the Ida-Viru ICS.
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Affiliation(s)
- Usha Dahal
- Institute of Family Medicine and Public Health, University of Tartu, 50411 Tartu, Estonia
- Institute of Social Science, University of Tartu, 51003 Tartu, Estonia
| | - Triin Veber
- Institute of Family Medicine and Public Health, University of Tartu, 50411 Tartu, Estonia
| | | | - Tanel Tamm
- Institute of Family Medicine and Public Health, University of Tartu, 50411 Tartu, Estonia
| | - Leena Albreht
- Environmental Health Department, Estonian Health Board, 10617 Tallinn, Estonia
| | - Erik Teinemaa
- Estonian Environmental Research Centre, 10617 Tallinn, Estonia
| | - Kati Orru
- Institute of Social Science, University of Tartu, 51003 Tartu, Estonia
| | - Hans Orru
- Institute of Family Medicine and Public Health, University of Tartu, 50411 Tartu, Estonia
- Section of Sustainable Health, Umeå University, 901 87 Umea, Sweden
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Zhang H, Zhang X, Zhang H, Luo H, Feng Y, Wang J, Huang C, Yu Z. Assessing the effect of fine particulate matter on adverse birth outcomes in Huai River Basin, Henan, China, 2013-2018. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2022; 306:119357. [PMID: 35489530 DOI: 10.1016/j.envpol.2022.119357] [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: 09/03/2021] [Revised: 03/25/2022] [Accepted: 04/21/2022] [Indexed: 06/14/2023]
Abstract
Previous studies have indicated that maternal exposure to particles with aerodynamic diameter <2.5 μm (PM2.5) is associated with adverse birth outcomes. However, the critical exposure windows remain inconsistent. A retrospective cohort study was conducted in Huai River Basin, Henan, China during 2013-2018. Daily PM2.5 concentration was collected using Chinese Air Quality Reanalysis datasets. We calculated exposures for each participant based on the residential address during pregnancy. Binary logistic regression was used to examine the trimester-specific association of PM2.5 exposure with preterm birth (PTB), low birth weight (LBW) and term LBW (tLBW), and we further estimated monthly and weekly association using distributed lag models. Hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated for each 10 μg/m3 increase in PM2.5 exposure. Stratified analyses were performed by maternal age, infant gender, parity, and socioeconomic status (SES). In total, 196,780 eligible births were identified, including 4257 (2.2%) PTBs, 3483 (1.8%) LBWs and 1770 (0.9%) tLBWs. Maternal PM2.5 exposure during the second trimester were associated with the risk of PTB and LBW. At the monthly level, the PTB and LBW risks were associated with PM2.5 exposure mainly in the 4th -6th month. By estimating the weekly-specific association, we observed that critical exposure windows of PM2.5 exposure and PTB were in the 18th- 27th gestational weeks. Stronger associations were found in younger, multiparous mothers and those with a female baby and in low SES. In conclusion, the results indicate that maternal PM2.5 exposure during the second trimester was associated with PTB and LBW. Younger, multiparous mothers and those with female babies and in low SES were susceptible.
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Affiliation(s)
- Huanhuan Zhang
- School of Public Health, Zhengzhou University, Zhengzhou, China
| | - Xiaoan Zhang
- The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Han Zhang
- School of Public Health, Zhengzhou University, Zhengzhou, China
| | - Hongyan Luo
- Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
| | - Yang Feng
- School of Public Health, Zhengzhou University, Zhengzhou, China
| | - Jingzhe Wang
- MNR Key Laboratory for Geo-Environmental Monitoring of Great Bay Area & Guangdong Key Laboratory of Urban Informatics & Shenzhen Key Laboratory of Spatial Smart Sensing and Services, Shenzhen University, Shenzhen, China
| | - Cunrui Huang
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Zengli Yu
- School of Public Health, Zhengzhou University, Zhengzhou, China; National Health Commission Key Laboratory of Birth Defects Prevention, Key Laboratory of Population Defects Prevention, Zhengzhou, China
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27
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Exposure to Traffic Density during Pregnancy and Birth Weight in a National Cohort, 2000-2017. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19148611. [PMID: 35886463 PMCID: PMC9318762 DOI: 10.3390/ijerph19148611] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Revised: 07/07/2022] [Accepted: 07/12/2022] [Indexed: 02/01/2023]
Abstract
The variation on birth weight is associated with several outcomes early on in life and low birth weight (LBW) increases the risk of morbidity and mortality. Some environmental exposures during pregnancy, such as particulate matters and other traffic-related pollutants can have a significant effect on pregnant women and fetuses. The aim of this study is to estimate the effect of exposure to traffic density during pregnancy over birth weight in Spain, from 2000–2017. This was a retrospective, cross-sectional study using the information from Spain Birth Registry Statistics database. The traffic density was measured using the Annual average daily traffic. Multivariate linear regression models using birth weight and traffic density were performed, as well as a logistic regression model to estimated Odds ratios for LBW and GAM models to evaluate the non-linear effect. Our findings showed that increases in traffic density were associated with reduction of birth weight and increases of LBW risk. Moreover, exposure to high and very-high traffic-density during pregnancy were associated with reduction of birth weight and increase on LBW risk comparing with exposure to low number of cars trespassing the neighborhoods. The results of this study agree with previous literature and highlights the need of effective policies for reducing traffic density in residential neighborhoods of cities and towns.
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Ahmad WA, Nirel R, Golan R, Jolles M, Kloog I, Rotem R, Negev M, Koren G, Levine H. Mother-level random effect in the association between PM 2.5 and fetal growth: A population-based pregnancy cohort. ENVIRONMENTAL RESEARCH 2022; 210:112974. [PMID: 35192805 DOI: 10.1016/j.envres.2022.112974] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/20/2021] [Revised: 02/02/2022] [Accepted: 02/16/2022] [Indexed: 06/14/2023]
Abstract
BACKGROUND A growing body of literature reports associations between exposure to particulate matter with diameter ≤2.5 μm (PM2.5) during pregnancy and birth outcomes. However, findings are inconsistent across studies. OBJECTIVES To assess the association between PM2.5 and birth outcomes of fetal growth in a cohort with high prevalence of siblings by multilevel models accounting for geographical- and mother-level correlations. METHODS In Israel, we used Maccabi Healthcare Services data to establish a population-based cohort of 381,265 singleton births reaching 24-42 weeks' gestation and birth weight of 500-5000 g (2004-2015). Daily PM2.5 predictions from a satellite-based spatiotemporal model were linked to the date of birth and maternal residence. We generated mean PM2.5 values for the entire pregnancy and for exposure periods during pregnancy. Associations between exposure and birth outcomes were modeled by using multilevel logistic regression with random effects for maternal locality of residence, administrative census area (ACA) and mother. RESULTS In fully adjusted models with a mother-level random intercept only, a 10-μg/m3 increase in PM2.5 over the entire pregnancy was positively associated with term low birth weight (TLBW) (Odds ratio, OR = 1.25, 95% confidence interval, CI: 1.09,1.43) and small for gestational age (SGA) (OR = 1.15, 95% CI: 1.06,1.26). Locality- and ACA-level effects accounted for <0.4% of the variance while mother-level effects explained ∼50% of the variability. Associations varied by exposure period, infants' sex, birth order, and maternal pre-pregnancy BMI. CONCLUSIONS Consideration of mother-level variability in a region with high fertility rates provides new insights on the strength of associations between PM2.5 and birth outcomes.
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Affiliation(s)
| | - Ronit Nirel
- Hebrew University of Jerusalem, Jerusalem, Israel
| | - Rachel Golan
- Ben-Gurion University of the Negev, Beer Sheva, Israel
| | | | - Itai Kloog
- Ben-Gurion University of the Negev, Beer Sheva, Israel
| | - Ran Rotem
- Harvard T.H. Chan School of Public Health, Boston, MA, USA; Institute of Research and Innovation, Maccabitech, Tel-Aviv, Israel
| | | | - Gideon Koren
- Institute of Research and Innovation, Maccabitech, Tel-Aviv, Israel; Tel Aviv University, Tel-Aviv, Israel
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Best R, Malava J, Dube A, Katundu C, Kalobekamo F, Mortimer K, Gordon SB, Nyirenda M, Crampin A, McLean E. A secondary data analysis of a cluster randomized controlled trial: improved cookstoves associated with reduction in incidence of low birthweight in rural Malawi. Int J Epidemiol 2022; 51:1803-1812. [PMID: 35653696 PMCID: PMC9749713 DOI: 10.1093/ije/dyac093] [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: 01/10/2021] [Accepted: 05/30/2022] [Indexed: 01/21/2023] Open
Abstract
BACKGROUND In northern rural Malawi, the majority of households cook using open fires and there is also a high burden of adverse birth outcomes. The use of open fires or highly polluting cookstoves is associated with low birthweight in babies. There is mixed evidence on whether implementation of cleaner burning cookstoves reduces the number of babies born with low birthweight. METHODS This is a secondary analysis of a cluster randomized control trial in Malawi, conducted over 2014-17. Households were randomized to receive improved cookstoves or to continue current practices. For this analysis, the primary outcome was low birthweight in households under routine demographic surveillance, among births occurring within the trial time frame (N = 4010). A subset of data with stricter exposure definitions respecting the original randomized allocation was also analysed (N = 1050). A causal, forwards modelling approach was used. RESULTS The main dataset showed evidence of effect of the intervention on low birthweight [adjusted odds ratio (aOR) 0.69; 95% CI 0.48-0.99, n = 2788). The subset analysis lacked power to provide evidence of association between improved cookstoves and low birthweight in the stricter exposure definition (aOR 0.62; 95% CI 0.35-1.09, n = 932). CONCLUSIONS This study provides some evidence that an improved cookstove intervention in rural Malawi reduced the number of babies born with low birthweight by 30%. This direction of the effect was also seen in the subset analysis. The analysis suggests that the intervention reduced the number of infants born prematurely or with intra-uterine growth restriction, indicating that improved cookstoves could be a useful maternal health intervention.
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Affiliation(s)
- Rebecca Best
- London School of Hygiene and Tropical Medicine, London, UK
| | - Jullita Malava
- Malawi Epidemiology and Intervention Research Unit, Karonga, Malawi
| | - Albert Dube
- Malawi Epidemiology and Intervention Research Unit, Karonga, Malawi
| | - Cynthia Katundu
- Malawi Epidemiology and Intervention Research Unit, Karonga, Malawi
| | | | | | | | | | - Amelia Crampin
- London School of Hygiene and Tropical Medicine, London, UK,Malawi Epidemiology and Intervention Research Unit, Karonga, Malawi
| | - Estelle McLean
- Corresponding author. London School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT, UK. E-mail:
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Hao J, Peng L, Cheng P, Li S, Zhang C, Fu W, Dou L, Yang F, Hao J. A time series analysis of ambient air pollution and low birth weight in Xuzhou, China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH 2022; 32:1238-1247. [PMID: 33406863 DOI: 10.1080/09603123.2020.1867828] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/26/2020] [Accepted: 12/18/2020] [Indexed: 06/12/2023]
Abstract
The objective of this study was to examine the relationship between weekly specific maternal air pollution exposures and low birth weight. We fitted a distributed lag nonlinear model (DLNM) to analyze the nonlinear exposure-response association and delayed effects of air pollutants on the risk for low birth weight. The model assumed that all live births have 40 gestational weeks.The 1st week lag was the 40th gestational week, and 40th lag week was the 1st gestational week.The study included 71,809 live births (from July 1, 2016, to June 30, 2019), of which 2,391 (3.33%) exhibited low birth weight. The results demonstrated that exposure of pregnant women to PM10 at lag 22-30 weeks was significantly associated with low birth weight risk, with the greatest impact at the lag 30 week. Exposure to SO2 at lag 29-37 weeks was significantly associated with low birth weight risk. The sensitive exposure window for NO2 began at lag 25-37 weeks of pregnancy. The lag 6-10 weeks constituted the susceptible exposure window for O3. Therefore we concluded that maternal exposures to PM10, SO2, NO2, and O3 were associated with increased risk for low birth weight.
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Affiliation(s)
- Jingwen Hao
- Department of Maternal Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Lei Peng
- Xuzhou Maternal and Child Health Family Planning Service Center, Xuzhou, Jiangsu, China
| | - Peng Cheng
- Department of Maternal Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Sha Li
- Department of Maternal Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Chao Zhang
- Department of Maternal Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Weinan Fu
- Department of Maternal Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Lianjie Dou
- Department of Maternal Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Fan Yang
- Department of Maternal Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Jiahu Hao
- Department of Maternal Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, Anhui, China
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Zhai Y, Wang B, Qin L, Luo B, Xie Y, Hu H, Du H, Li Z. Smog and risk of maternal and fetal birth outcomes: A retrospective study in Baoding, China. Open Med (Wars) 2022; 17:1007-1018. [PMID: 35733622 PMCID: PMC9164291 DOI: 10.1515/med-2022-0489] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Revised: 03/30/2022] [Accepted: 04/20/2022] [Indexed: 11/15/2022] Open
Abstract
Abstract
Pregnant women are more susceptible to smog pollution than the general population. This study focused on the association between smog and birth outcomes, considering both pregnant mothers and their offspring. In this retrospective study, conducted in Baoding between 2013 and 2016, we enrolled 842 participants. Birth outcomes were low birth weight (LBW), pregnancy-induced hypertension (PIH), gestational diabetes mellitus (GDM), and premature rupture of membranes (PROM). The overall prevalence of LBW, PIH, GDM, and PROM was 8.2%, 14.8%, 16.5%, and 12.1%, respectively. Compared with lower pollution level, higher pollution level of fine particulate matter (particulate matter with aerodynamics diameter <2.5 μm) (PM2.5), inhalable particle (particulate matter with aerodynamics diameter <10 μm) (PM10), and CO increased the risk of term with LBW. PM2.5, PM10, and NO2 increased the risk of PIH during different trimesters, while PM10 increased the risk of PROM during trimester 3. In conclusion, smog significantly affects the risk of adverse birth outcomes by different exposure time windows.
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Affiliation(s)
- Yijing Zhai
- Department of Nutrition, Hebei Key Laboratory of Nutrition and Health, The First Hospital of Hebei Medical University , Shijiazhuang , 050031 , China
| | - Bei Wang
- Department of Nutrition, Hebei Key Laboratory of Nutrition and Health, The First Hospital of Hebei Medical University , Shijiazhuang , 050031 , China
| | - Liqiang Qin
- Department of Nutrition and Food Hygiene, School of Public Health, Soochow University , Suzhou , 215000 , China
| | - Bin Luo
- Department of Nutrition, Hebei Key Laboratory of Nutrition and Health, The First Hospital of Hebei Medical University , Shijiazhuang , 050031 , China
| | - Ying Xie
- Department of Nutrition, Hebei Key Laboratory of Nutrition and Health, The First Hospital of Hebei Medical University , Shijiazhuang , 050031 , China
| | - Huanyu Hu
- Department of Nutrition, Hebei Key Laboratory of Nutrition and Health, The First Hospital of Hebei Medical University , Shijiazhuang , 050031 , China
| | - Hongzhen Du
- Department of Nutrition, Hebei Key Laboratory of Nutrition and Health, The First Hospital of Hebei Medical University , Shijiazhuang , 050031 , China
| | - Zengning Li
- Department of Nutrition, Hebei Key Laboratory of Nutrition and Health, The First Hospital of Hebei Medical University , Shijiazhuang , 050031 , China
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Cao K, Jin H, Li H, Tang M, Ge J, Li Z, Wang X, Wei X. Associations of maternal exposure to fine particulate matter with preterm and early-term birth in high-risk pregnant women. Genes Environ 2022; 44:9. [PMID: 35292103 PMCID: PMC8922917 DOI: 10.1186/s41021-022-00239-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Accepted: 02/23/2022] [Indexed: 11/10/2022] Open
Abstract
Background Environmental pollution is a risk factor for adverse birth outcomes, especially preterm birth (PTB) and early-term birth (ETB). It has been revealed that exposure to fine particulate matter (PM2.5) during pregnancy increase the prevalence of PTB. However, the relationship between PM2.5 exposure and ETB has not been elucidated. In high-risk pregnancies, whether PM2.5 exposure will bring higher risk of PTB and ETB than in normal pregnancies is still unclear, and the susceptible exposure window is obscure. Therefore, it is worthy of assessing the risk on PTB and ETB and identifying the susceptible exposure windows of PM2.5 exposure in high-risk pregnant women. Results This paper collected the clinical data of 7974 singletons, high-risk pregnant women in Peking University First Hospital from 2014 to 2018, and analyzed them using logistic regression and stratified analysis. We observed that exposure to high-level (≥ 75 µg/m3) of PM2.5 during the third trimester of pregnancy increases the risk of PTB and ETB (PTB: odds ratio[OR] = 1.43, 95% confidence interval [CI]:1.05–1.93. ETB: OR = 1.29, 95%CI: 1.09–1.54). Furthermore, the effects of each 10ug/m3 increase in PM2.5 on PTB and ETB were significant during the third trimester (PTB: OR = 1.35, 95%CI:1.16–1.58. ETB: OR = 1.12, 95%CI:1.02–1.22) and the entire pregnancy (PTB: OR = 6.12, 95%CI:4.27–8.89. ETB: OR = 1.96, 95%CI:1.59–2.43) in the high-level exposure group. Conclusions These results suggest that high-level PM2.5 exposure during pregnancy is associated with high risk of PTB and ETB in high-risk pregnancies. The third trimester of pregnancy is speculated to be the susceptible exposure window. Supplementary Information The online version contains supplementary material available at 10.1186/s41021-022-00239-0.
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Affiliation(s)
- Kaixin Cao
- School of Public Health, Peking University, 100191, Beijing, China.,Beijing Key Laboratory of Toxicological Research and Risk Assessment for Food Safety, Peking University, 100191, Beijing, China.,Peking University First Hospital, 100191, Beijing, China
| | - Hongyan Jin
- Peking University First Hospital, 100191, Beijing, China
| | - Haoxin Li
- School of Public Health, Peking University, 100191, Beijing, China
| | - Mengmeng Tang
- School of Public Health, Peking University, 100191, Beijing, China.,Beijing Key Laboratory of Toxicological Research and Risk Assessment for Food Safety, Peking University, 100191, Beijing, China
| | - Jianhong Ge
- School of Public Health, Peking University, 100191, Beijing, China.,Beijing Key Laboratory of Toxicological Research and Risk Assessment for Food Safety, Peking University, 100191, Beijing, China
| | - Zekang Li
- School of Public Health, Peking University, 100191, Beijing, China.,Beijing Key Laboratory of Toxicological Research and Risk Assessment for Food Safety, Peking University, 100191, Beijing, China
| | - Xiaoyun Wang
- School of Public Health, Peking University, 100191, Beijing, China.,Beijing Key Laboratory of Toxicological Research and Risk Assessment for Food Safety, Peking University, 100191, Beijing, China
| | - Xuetao Wei
- School of Public Health, Peking University, 100191, Beijing, China. .,Beijing Key Laboratory of Toxicological Research and Risk Assessment for Food Safety, Peking University, 100191, Beijing, 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: 15] [Impact Index Per Article: 7.5] [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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Villeneuve PJ, Lam S, Tjepkema M, Pinault L, Crouse DL, Osornio-Vargas AR, Hystad P, Jerrett M, Lavigne E, Stieb DM. Residential proximity to greenness and adverse birth outcomes in urban areas: Findings from a national Canadian population-based study. ENVIRONMENTAL RESEARCH 2022; 204:112344. [PMID: 34742713 DOI: 10.1016/j.envres.2021.112344] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Revised: 10/07/2021] [Accepted: 11/02/2021] [Indexed: 06/13/2023]
Abstract
BACKGROUND Over the last decade, several studies have reported that residential proximity to vegetation, or 'greenness', is associated with improved birth outcomes, including for term birth weight (TBW), preterm birth (PTB), and small for gestational age (SGA). However, there remain several uncertainties about these possible benefits including the role of air pollution, and the extent to they are influenced socioeconomic status. METHODS We addressed these gaps using a national population-based study of 2.2 million singleton live births in Canadian metropolitan areas between 1999 and 2008. Exposures to greenness, fine particulate matter (PM2.5), and nitrogen dioxide (NO2) were assigned to infants using the postal code of their mother's residence at the time of birth. The Normalized Difference Vegetation Index (NDVI) was used to characterize greenness, while estimates of ambient PM2.5 and NO2 were estimated using remote sensing, and a national land-use regression surface, respectively. Multivariable regression analysis was performed to describe associations between residential greenness and the birth outcomes. Stratified analyses explored whether these associations were modified by neighbourhood measures of socioeconomic status. RESULTS Mothers who lived in greener areas had a lower risk of low TBW, PTB, and SGA babies. These associations persisted after adjustment for ambient NO2 and PM2.5. Specifically, in fully adjusted models, an interquartile range (IQR = 0.16) increase in the NDVI within a residential buffer of 250 m yielded odds ratios of 0.93 (95% confidence interval (CI): 0.92, 0.94), 0.94 (95% CI: 0.92, 0.95), and 0.94 (95% CI: 0.93, 0.95) for the outcomes of PTB, low TBW, and SGA, respectively. Similarly, an IQR increase in greenness was associated with a 16.3 g (95% CI: 15.3, 17.4) increase in TBW. We found inverse associations between greenness and the occurrence of adverse birth outcomes regardless of the socioeconomic status of the neighbourhood. INTERPRETATION Our findings support the hypothesis that residential greenness contributes to healthier pregnancies, that these associations are independent from exposure to air pollution. , and that proximity to greenness benefits all mothers regardless of socioeconomic status.
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Affiliation(s)
- Paul J Villeneuve
- CHAIM Research Center, Carleton University, Herzberg Building, Room 5413, Ottawa, ON, K1S 5B6, Canada; Department of Neuroscience, Carleton University, Ottawa, ON, Canada.
| | - Sandy Lam
- Department of Health Sciences, Carleton University, Ottawa, ON, Canada
| | | | - Lauren Pinault
- Health Analysis Division, Statistics Canada, Ottawa, ON, Canada
| | | | - Alvaro R Osornio-Vargas
- Department of Pediatrics, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada
| | - Perry Hystad
- School of Biological and Population Health Sciences, College of Public Health and Human Sciences, Oregon State University, Corvallis, OR, USA
| | - Michael Jerrett
- Department of Environmental Health Sciences, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA, USA
| | - Eric Lavigne
- Air Health Science Division, Health Canada, Ottawa, Canada
| | - David M Stieb
- School of Epidemiology and Public Health, University of Ottawa, Canada; Environmental Health Science and Research Bureau, Health Canada, Vancouver, Canada
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Funk WE, Montgomery N, Bae Y, Chen J, Chow T, Martinez MP, Lurmann F, Eckel SP, McConnell R, Xiang AH. Human Serum Albumin Cys34 Adducts in Newborn Dried Blood Spots: Associations With Air Pollution Exposure During Pregnancy. Front Public Health 2022; 9:730369. [PMID: 35004563 PMCID: PMC8733257 DOI: 10.3389/fpubh.2021.730369] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Accepted: 11/22/2021] [Indexed: 12/30/2022] Open
Abstract
Background: Increasing evidence suggests that exposure to air pollution during pregnancy is associated with adverse pregnancy outcomes. However, biomarkers associated with air pollution exposure are widely lacking and often transient. In addition, ascertaining biospecimens during pregnacy to assess the prenatal environment remains largely infeasible. Objectives: To address these challenges, we investigated relationships between air pollution exposure during pregnancy and human serum albumin Cys34 (HSA-Cys34) adducts in newborn dried blood spots (DBS) samples, which captures an integration of perinatal exposures to small reactive molecules in circulating blood. Methods: Newborn DBS were obtained from a state archive for a cohort of 120 children born at one Kaiser Permanente Southern California (KPSC) hospitals in 2007. These children were selected to maximize the range of residential air pollution exposure during the entire pregnancy to PM2.5, PM10, NO2, O3, based on monthly estimates interpolated from regulatory monitoring sites. HSA-Cys34 adducts were selected based on previously reported relationships with air pollution exposure and oxidative stress. Results: Six adducts measured in newborn DBS samples were associated with air pollution exposures during pregnancy; these included direct oxidation products, adducts formed with small thiol compounds, and adducts formed with reactive aldehydes. Two general trends were identified: Exposure to air pollution late in pregnancy (i.e., in the last 30 days) was associated with increased oxidative stress, and exposure to air pollution earlier in pregnancy (i.e., not in the last 30 days) was associated with decreased oxidative stress around the time of birth. Discussion: Air pollution exposure occurring during pregnancy can alter biology and leave measurable impacts on the developing infant captured in the newborn DBS adductome, which represents a promising tool for investigating adverse birth outcomes in population-based studies.
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Affiliation(s)
- William E Funk
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Evanston, IL, United States
| | - Nathan Montgomery
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Evanston, IL, United States
| | - Yeunook Bae
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Evanston, IL, United States
| | - Jiexi Chen
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Evanston, IL, United States
| | - Ting Chow
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA, United States
| | - Mayra P Martinez
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA, United States
| | - Fred Lurmann
- Sonoma Technology, Inc., Petaluma, CA, United States
| | - Sandrah P Eckel
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
| | - Rob McConnell
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
| | - Anny H Xiang
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA, United States
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Zhou G, Wu J, Yang M, Sun P, Gong Y, Chai J, Zhang J, Afrim FK, Dong W, Sun R, Wang Y, Li Q, Zhou D, Yu F, Yan X, Zhang Y, Jiang L, Ba Y. Prenatal exposure to air pollution and the risk of preterm birth in rural population of Henan Province. CHEMOSPHERE 2022; 286:131833. [PMID: 34426128 DOI: 10.1016/j.chemosphere.2021.131833] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Revised: 07/29/2021] [Accepted: 08/05/2021] [Indexed: 06/13/2023]
Abstract
Due to the poor living and healthcare conditions, preterm birth (PTB) in rural population is a pressing health issue. However, PTB studies in rural population are rare. To explore the effects of air pollutants on PTB in rural population, we collected 697,316 medical records during 2014-2016 based on the National Free Preconception Health Examination Project. Logistic regression models were used to estimate the association between air pollutants and PTB and the modifying effects of demographic characteristics. Relative contribution and principal component analysis-generalized linear model (PCA-GLM) analysis were used to explore the most significant air pollutant and gestational period. Our results demonstrated that PTB risk is positively associated with exposure to air pollutants including PM10, PM2.5, SO2, NO2, and CO, while negatively associated with O3 exposure (P < 0.05). In addition, we found that NO2 was the largest contributor to the risk of PTB caused by air pollutants (26.5%). The third trimester of pregnancy was the most sensitive exposure window. PCA-GLM analysis showed that the first component (a combination of PM, SO2, NO2, and CO) increased the risk of PTB. Moreover, we found that rural women who are younger, had higher educated, multi-parity, or smoke appeared to be more sensitive to the association between air pollutants exposure and PTB (P-interaction<0.05). Our findings suggested that increased air pollutants except O3 were associated with elevated PTB risk, especially among vulnerable mothers. Therefore, the effects of air pollutants exposure on PTB should be mitigated by restricting emission sources of NO2 and SO2 in rural population, especially during the third trimester.
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Affiliation(s)
- Guoyu Zhou
- Department of Environmental Health & Environment and Health Innovation Team, School of Public Health, Zhengzhou University, Zhengzhou, Henan, 450001, PR China; Yellow River Institute for Ecological Protection & Regional Coordinated Development, Zhengzhou University, Zhengzhou, Henan, 450001, PR China
| | - Jingjing Wu
- Department of Environmental Health & Environment and Health Innovation Team, School of Public Health, Zhengzhou University, Zhengzhou, Henan, 450001, PR China
| | - Meng Yang
- Department of Environmental Health & Environment and Health Innovation Team, School of Public Health, Zhengzhou University, Zhengzhou, Henan, 450001, PR China
| | - Panpan Sun
- National Health Commission Key Laboratory of Birth Defects Prevention, Henan Key Laboratory of Population Defects Prevention, Henan Institute of Reproduction Health Science and Technology, Zhengzhou, Henan, 450002, PR China
| | - Yongxiang Gong
- Department of Environmental Health & Environment and Health Innovation Team, School of Public Health, Zhengzhou University, Zhengzhou, Henan, 450001, PR China
| | - Jian Chai
- National Health Commission Key Laboratory of Birth Defects Prevention, Henan Key Laboratory of Population Defects Prevention, Henan Institute of Reproduction Health Science and Technology, Zhengzhou, Henan, 450002, PR China
| | - Junxi Zhang
- National Health Commission Key Laboratory of Birth Defects Prevention, Henan Key Laboratory of Population Defects Prevention, Henan Institute of Reproduction Health Science and Technology, Zhengzhou, Henan, 450002, PR China
| | - Francis-Kojo Afrim
- Department of Environmental Health & Environment and Health Innovation Team, School of Public Health, Zhengzhou University, Zhengzhou, Henan, 450001, PR China
| | - Wei Dong
- National Health Commission Key Laboratory of Birth Defects Prevention, Henan Key Laboratory of Population Defects Prevention, Henan Institute of Reproduction Health Science and Technology, Zhengzhou, Henan, 450002, PR China
| | - Renjie Sun
- Department of Environmental Health & Environment and Health Innovation Team, School of Public Health, Zhengzhou University, Zhengzhou, Henan, 450001, PR China
| | - Yuhong Wang
- National Health Commission Key Laboratory of Birth Defects Prevention, Henan Key Laboratory of Population Defects Prevention, Henan Institute of Reproduction Health Science and Technology, Zhengzhou, Henan, 450002, PR China
| | - Qinyang Li
- Department of Environmental Health & Environment and Health Innovation Team, School of Public Health, Zhengzhou University, Zhengzhou, Henan, 450001, PR China
| | - Dezhuan Zhou
- National Health Commission Key Laboratory of Birth Defects Prevention, Henan Key Laboratory of Population Defects Prevention, Henan Institute of Reproduction Health Science and Technology, Zhengzhou, Henan, 450002, PR China
| | - Fangfang Yu
- Department of Environmental Health & Environment and Health Innovation Team, School of Public Health, Zhengzhou University, Zhengzhou, Henan, 450001, PR China
| | - Xi Yan
- Department of Neurology, Henan Provincial People's Hospital; Zhengzhou University People's Hospital; Henan University People's Hospital, Zhengzhou, Henan, 450001, PR China
| | - Yawei Zhang
- Department of Environment Health Science, Yale University School of Public Health, New Haven, CT, USA
| | - Lifang Jiang
- National Health Commission Key Laboratory of Birth Defects Prevention, Henan Key Laboratory of Population Defects Prevention, Henan Institute of Reproduction Health Science and Technology, Zhengzhou, Henan, 450002, PR China
| | - Yue Ba
- Department of Environmental Health & Environment and Health Innovation Team, School of Public Health, Zhengzhou University, Zhengzhou, Henan, 450001, PR China; Yellow River Institute for Ecological Protection & Regional Coordinated Development, Zhengzhou University, Zhengzhou, Henan, 450001, PR China.
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37
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Jegasothy E, Randall DA, Ford JB, Nippita TA, Morgan GG. Maternal factors and risk of spontaneous preterm birth due to high ambient temperatures in New South Wales, Australia. Paediatr Perinat Epidemiol 2022; 36:4-12. [PMID: 34850413 DOI: 10.1111/ppe.12822] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 09/09/2021] [Accepted: 09/12/2021] [Indexed: 11/29/2022]
Abstract
BACKGROUND Exposure to high ambient temperatures has been shown to increase the risk of spontaneous preterm birth. Determining which maternal factors increase or decrease this risk will inform climate adaptation strategies. OBJECTIVES This study aims to assess the risk of spontaneous preterm birth associated with exposure to ambient temperature and differences in this relationship between mothers with different health and demographic characteristics. METHODS We used quasi-Poisson distributed lag non-linear models to estimate the effect of high temperature-measured as the 95th percentile of daily minimum, mean and maximum compared with the median-on risk of spontaneous preterm birth (23-36 weeks of gestation) in pregnant women in New South Wales, Australia. We estimated the cumulative lagged effects of daily temperature and analyses on population subgroups to assess increased or decreased vulnerability to this effect. RESULTS Pregnant women (n = 916,678) exposed at the 95th percentile of daily mean temperatures (25ºC) had an increased risk of preterm birth (relative risk 1.14, 95% confidence interval 1.07, 1.21) compared with the median daily mean temperature (17℃). Similar effect sizes were seen for the 95th percentile of minimum and maximum daily temperatures compared with the median. This risk was slightly higher among women with diabetes, hypertension, chronic illness and women who smoked during pregnancy. CONCLUSIONS Higher temperatures increase the risk of preterm birth and women with pre-existing health conditions and who smoke during pregnancy are potentially more vulnerable to these effects.
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Affiliation(s)
- Edward Jegasothy
- The University of Sydney, Sydney School of Public Health, University Centre for Rural Health, Sydney, NSW, Australia.,The University of Sydney Northern Clinical School, Women and Babies Research, St Leonards, NSW, Australia.,NSW Ministry of Health, NSW Biostatistics Training Program, Sydney, NSW, Australia
| | - Deborah A Randall
- The University of Sydney Northern Clinical School, Women and Babies Research, St Leonards, NSW, Australia.,Northern Sydney Local Health District, Kolling Institute, St Leonards, NSW, Australia
| | - Jane B Ford
- The University of Sydney Northern Clinical School, Women and Babies Research, St Leonards, NSW, Australia.,Northern Sydney Local Health District, Kolling Institute, St Leonards, NSW, Australia
| | - Tanya A Nippita
- The University of Sydney Northern Clinical School, Women and Babies Research, St Leonards, NSW, Australia.,Northern Sydney Local Health District, Kolling Institute, St Leonards, NSW, Australia.,Northern Sydney Local Health District, Department of Obstetrics and Gynecology, Royal North Shore Hospital, Sydney, NSW, Australia
| | - Geoffrey G Morgan
- The University of Sydney, Sydney School of Public Health, University Centre for Rural Health, Sydney, NSW, Australia
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38
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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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Zhang J, Chen G, Liang S, Liu J, Zhang J, Shen H, Chen Y, Duan J, Sun Z. PM 2.5 exposure exaggerates the risk of adverse birth outcomes in pregnant women with pre-existing hyperlipidemia: Modulation role of adipokines and lipidome. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 787:147604. [PMID: 33992945 DOI: 10.1016/j.scitotenv.2021.147604] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/13/2021] [Revised: 05/02/2021] [Accepted: 05/05/2021] [Indexed: 06/12/2023]
Abstract
The in-utero environmental exposure to fine particulate matter (PM2.5) might lead to adverse birth outcomes, such as low birth weight (LBW) and preterm birth (PTB), thereby increasing susceptibility to diseases in later life. However, no studies have examined the underlying mechanism through cross-omics of lipidome and adipokines profiling, as well as the possible effect modification by maternal hyperlipidemia. In total, 203 mother-newborn pairs were recruited in the birth cohort study ongoing since February 2017 in Beijing, China. Individual-level of PM2.5 exposure was estimated using a satellite data based random forest model. Cord blood lipidome and adipokines were assessed through the lipidomic approaches and antibody-based array. Multivariable logistic/linear regression models and moderation analysis were employed in this study. We observed a significantly increased risk of PTB associated with PM2.5 exposure during the second trimester, especially in pregnant women with pre-existing hyperlipidemia. 9 lipid classes and 21 adipokines were associated with PM2.5 exposure independently or significantly influenced by the interaction of maternal PM2.5 exposure and hyperlipidemia. In addition, 4 adipokines (ANGPTL4, IGFBP-2, IL-12p40, and TNF-RII) and 3 lipid classes [phosphatidylcholines (PCs), phosphatidylinositols (PIs), and triglycerides (TGs)] were related to the increased risk of PTB, indicating that inflammation, IGF/IGFBP axis, and lipolysis induced lipid homeostasis disorder of PCs, TGs, and PIs might be the possible mediators for the PM2.5-induced adverse birth outcomes. Our results substantiated the need for reducing exposure in susceptible populations.
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Affiliation(s)
- Jingyi Zhang
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing 100069, People's Republic of China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, People's Republic of China
| | - Gongbo Chen
- Guangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Shuang Liang
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing 100069, People's Republic of China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, People's Republic of China
| | - Jiangyan Liu
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing 100069, People's Republic of China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, People's Republic of China
| | - Jie Zhang
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen 361102, People's Republic of China
| | - Heqing Shen
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen 361102, People's Republic of China
| | - Yi Chen
- Beijing Obstetrics and Gynecology Hospital, Capital Medical University, People's Republic of China.
| | - Junchao Duan
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing 100069, People's Republic of China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, People's Republic of China.
| | - Zhiwei Sun
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing 100069, People's Republic of China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, People's Republic of China.
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40
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Chen J, Li PH, Fan H, Li C, Zhang Y, Ju D, Deng F, Guo X, Guo L, Wu S. Weekly-specific ambient fine particular matter exposures before and during pregnancy were associated with risks of small for gestational age and large for gestational age: results from Project ELEFANT. Int J Epidemiol 2021; 51:202-212. [PMID: 34432047 DOI: 10.1093/ije/dyab166] [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: 12/13/2020] [Accepted: 07/21/2021] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Investigations on the potential effects of ambient fine particulate matter (PM2.5) on large for gestational age (LGA) are limited. Furthermore, no study has explored weekly-specific susceptible exposure windows for small for gestational age (SGA) and LGA. This study evaluated the associations of exposure to ambient PM2.5 over the preconception and entire-pregnancy periods with risks of SGA and LGA, as well as explored critical weekly-specific exposure windows. METHODS 10 916 singleton pregnant women with 24-42 completed gestational weeks from the Project Environmental and LifEstyle FActors iN metabolic health throughout life-course Trajectories between 2014 and 2016 were included in this study. Distributed lag models (DLMs) incorporated in Cox proportional-hazards models were applied to explore the associations of maternal exposure to weekly ambient PM2.5 throughout 12 weeks before pregnancy and pregnancy periods with risks of SGA and LGA after controlling for potential confounders. RESULTS For a 10-μg/m3 increase in maternal exposure to PM2.5, positive associations with SGA were observed during the 1st to 9th preconceptional weeks and the 1st to 2nd gestational weeks (P<0.05), with the strongest association in the 5th preconceptional week [hazard ratio (HR), 1.06; 95% confidential interval (CI), 1.03-1.09]. For LGA, positive associations were observed during the 1st to 12th preconceptional weeks and the 1st to 5th gestational weeks (P<0.05), with the strongest association in the 7th preconceptional week (HR, 1.10; 95% CI, 1.08-1.12). CONCLUSIONS Exposure to high-level ambient PM2.5 is associated with increased risks of both SGA and LGA, and the most susceptible exposure windows are the preconception and early-pregnancy periods.
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Affiliation(s)
- Juan Chen
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - Peng-Hui Li
- Department of Environmental Science, School of Environmental Science and Safety Engineering, Tianjin University of Technology, Tianjin, China
| | - Haojun Fan
- Institute of Disaster and Emergency Medicine, Tianjin University, Tianjin, China.,Tianjin Key Laboratory of Disaster Medicine Technology, Tianjin, China.,Wenzhou Safety (Emergency) Institute, Tianjin University, Wenzhou, China
| | - Chen Li
- Department of Occupational & Environmental Health, Tianjin Medical University, Tianjin, China
| | - Ying Zhang
- Medical Genetic Laboratory, Department of Obstetrics and Gynecology, Tianjin Medical University General Hospital, Tianjin, China
| | - Duan Ju
- Medical Genetic Laboratory, Department of Obstetrics and Gynecology, Tianjin Medical University General Hospital, Tianjin, China
| | - Furong Deng
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - Xinbiao Guo
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - Liqiong Guo
- Institute of Disaster and Emergency Medicine, Tianjin University, Tianjin, China.,Tianjin Key Laboratory of Disaster Medicine Technology, Tianjin, China.,Wenzhou Safety (Emergency) Institute, Tianjin University, Wenzhou, China
| | - Shaowei Wu
- Department of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China
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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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Rappazzo KM, Nichols JL, Rice RB, Luben TJ. Ozone exposure during early pregnancy and preterm birth: A systematic review and meta-analysis. ENVIRONMENTAL RESEARCH 2021; 198:111317. [PMID: 33989623 PMCID: PMC8221456 DOI: 10.1016/j.envres.2021.111317] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Revised: 05/04/2021] [Accepted: 05/07/2021] [Indexed: 06/12/2023]
Abstract
Exposure to ozone has been linked to reproductive outcomes, including preterm birth. In this systematic review, we summarize published epidemiologic cohort and case-control studies examining ozone exposures (estimated on a continuous scale) in early pregnancy (1st and 2nd trimesters (T1, T2)) and preterm birth using ratio measures, and perform a meta-analysis to evaluate the potential relationship between them. Studies were identified by searching PubMed and Web of Science, screened according to predefined inclusion/exclusion criteria, and evaluated for study quality. We extracted study data including effect estimates, confidence limits, study location, study years, ozone exposure assessment method, and mean or median ozone concentrations. Nineteen studies were identified and included, of which 18 examined T1 exposure (17 reported effect estimates), and 15 examined T2 exposure. Random effects meta-analysis was performed in the metafor package, R 3.5.3. The pooled OR (95% CI) for a 10 ppb increase in ozone exposure in T1 was 1.06 (1.03, 1.10) with a 95% prediction interval of 0.95, 1.19; for T2 it was 1.05 (1.02, 1.08) with a 95% prediction interval of 0.95, 1.16. Effect estimates for both exposure periods showed high heterogeneity. In meta-regression analyses of study characteristics, study location (continent) explained some (~20%) heterogeneity for T1 exposure studies, but no characteristic explained a substantial amount of heterogeneity for T2 exposure studies. Increased ozone exposure during early pregnancy is associated with preterm birth across studies.
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Affiliation(s)
- Kristen M Rappazzo
- U.S. Environmental Protection Agency, Office of Research and Development, Center for Public Health and Environmental Assessment, USA.
| | - Jennifer L Nichols
- U.S. Environmental Protection Agency, Office of Research and Development, Center for Public Health and Environmental Assessment, USA
| | - R Byron Rice
- U.S. Environmental Protection Agency, Office of Research and Development, Center for Public Health and Environmental Assessment, USA
| | - Thomas J Luben
- U.S. Environmental Protection Agency, Office of Research and Development, Center for Public Health and Environmental Assessment, USA
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Mueller W, Tantrakarnapa K, Johnston HJ, Loh M, Steinle S, Vardoulakis S, Cherrie JW. Exposure to ambient particulate matter and biomass burning during pregnancy: associations with birth weight in Thailand. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2021; 31:672-682. [PMID: 33603098 PMCID: PMC8263346 DOI: 10.1038/s41370-021-00295-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Revised: 12/12/2020] [Accepted: 01/18/2021] [Indexed: 05/25/2023]
Abstract
BACKGROUND There is a growing evidence that exposure to ambient particulate air pollution during pregnancy is associated with adverse birth outcomes, including reduced birth weight (BW). The objective of this study was to quantify associations between BW and exposure to particulate matter (PM) and biomass burning during pregnancy in Thailand. METHODS We collected hourly ambient air pollutant data from ground-based monitors (PM with diameter of <10 µm [PM10], Ozone [O3], and nitrogen dioxide [NO2]), biomass burning from satellite remote sensing data, and individual birth weight data during 2015-2018. We performed a semi-ecological analysis to evaluate the association between mean trimester exposure to air pollutants and biomass burning with BW and low-birth weight (LBW) (<2500 g), adjusting for gestation age, sex, previous pregnancies, mother's age, heat index, season, year, gaseous pollutant concentrations, and province. We examined potential effect modification of PM10 and biomass burning exposures by sex. RESULTS There were 83,931 eligible births with a mean pregnancy PM10 exposure of 39.7 µg/m3 (standard deviation [SD] = 7.7). The entire pregnancy exposure was associated with reduced BW both for PM10 (-6.81 g per 10 µg/m3 increase in PM10 [95% CI = -12.52 to -1.10]) and biomass burning (-6.34 g per 1 SD increase in fires/km2 [95% CI = -11.35 to -1.34]) only after adjustment for NO2. In contrast with these findings, a reduced odds ratio (OR) of LBW was associated with PM10 exposure only in trimesters one and two, with no relationship across the entire pregnancy period. Associations with biomass burning were limited to increased ORs of LBW with exposure in trimester three, but only for male births. CONCLUSION Based on our results, we encourage further investigation of air pollution, biomass burning and BW in Thailand and other low-income and middle-income countries.
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Affiliation(s)
| | - Kraichat Tantrakarnapa
- Department of Social and Environmental Medicine, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
| | - Helinor Jane Johnston
- School of Engineering and Physical Sciences, Institute of Biological Chemistry, Biophysics and Bioengineering, Heriot Watt University, Edinburgh, UK
| | - Miranda Loh
- Institute of Occupational Medicine, Edinburgh, UK
| | | | - Sotiris Vardoulakis
- Institute of Occupational Medicine, Edinburgh, UK
- National Centre for Epidemiology and Population Health, Research School of Population Health, Australian National University, Canberra, ACT, Australia
| | - John W Cherrie
- Institute of Occupational Medicine, Edinburgh, UK.
- School of Engineering and Physical Sciences, Institute of Biological Chemistry, Biophysics and Bioengineering, Heriot Watt University, Edinburgh, UK.
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44
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Hettfleisch K, Carvalho MA, Hoshida MS, Pastro LDM, Saldiva SRDM, Vieira SE, Francisco RPV, Saldiva PHN, Bernardes LS. Individual exposure to urban air pollution and its correlation with placental angiogenic markers in the first trimester of pregnancy, in São Paulo, Brazil. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:28658-28665. [PMID: 33544347 DOI: 10.1007/s11356-021-12353-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/05/2020] [Accepted: 01/02/2021] [Indexed: 06/12/2023]
Abstract
Pollution of the atmosphere is known that may lead to adverse obstetric outcomes, including fetal growth restriction, gestational hypertension, and preeclampsia. Such disorders are correlated with imbalances in angiogenic factors, which may also be involved in the pathological mechanism as the pollutants impact placental and maternal physiology. In the first trimester of gestation, this study assessed the outcomes of personal maternal short period exposure to air pollution on soluble fms-like tyrosine kinase 1 (sFlt1) and placental growth factor (PLGF) of pregnant women blood concentrations. This was a cross-sectional study, held in the city of São Paulo, Brazil, and conducted with low-risk pregnant women, who carried personal passive nitrogen dioxide (NO2) and ozone (O3) monitors for about a few days preceding the ultrasound evaluation, and on this day, the venous blood sample was collected to measure the angiogenic factors sFlt1 and PLGF and their ratio (sFlt1/PLGF) by enzyme-linked immunosorbent assay (ELISA). By means of multiple regression models, the effect of the studied pollutants on the log-transformed concentrations of the angiogenic factors was evaluated. One hundred thirty-one patients were included. The log of the sFlt1/PLGF ratio increased with rising NO2 levels (p = 0.021 and beta = 0.206), and the log of the PLGF concentration showed a negative correlation with NO2 (p = 0.008 and beta = - 0.234). NO2, an indicator of the levels of primary air pollutants, presented significant positive correlation with an increased sFlt1/PLGF ratio and diminished PLGF levels, which may reflect an antiangiogenic state generated by air pollution exposure.
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Affiliation(s)
- Karen Hettfleisch
- Disciplina de Obstetricia, Departamento de Obstetricia e Ginecologia, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil
| | - Mariana Azevedo Carvalho
- Divisao de Clinica Obstetrica, Hospital das Clinicas HCFMUSP, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil
| | - Mara Sandra Hoshida
- LIM 57 Laboratorio de Fisiologia Obstetrica, Hospital das Clinicas HCFMUSP, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, São Paulo, Brazil
| | - Luciana Duzolina Manfré Pastro
- Disciplina de Obstetricia, Departamento de Obstetricia e Ginecologia, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil
| | | | - Sandra Elisabete Vieira
- Departamento de Pediatria, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, São Paulo, Brazil
| | - Rossana Pulcineli Vieira Francisco
- Disciplina de Obstetricia, Departamento de Obstetricia e Ginecologia, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil
| | | | - Lisandra Stein Bernardes
- Disciplina de Obstetricia, Departamento de Obstetricia e Ginecologia, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil.
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Kim JH, Choi YY, Yoo SI, Kang DR. Association between ambient air pollution and high-risk pregnancy: A 2015-2018 national population-based cohort study in Korea. ENVIRONMENTAL RESEARCH 2021; 197:110965. [PMID: 33722528 DOI: 10.1016/j.envres.2021.110965] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Revised: 02/26/2021] [Accepted: 02/27/2021] [Indexed: 06/12/2023]
Abstract
BACKGROUND Several studies have indicated that prenatal exposure to ambient air pollution is associated with an increased risk of gestational diabetes mellitus, hypertensive disorder during pregnancy, preterm birth, and stillbirth. However, no previous study has focused on the association between the number of pregnancy complications and exposure to ambient air pollution. OBJECTIVES To investigate the association between prenatal exposure to ambient air pollutants and the number of pregnancy complications in high-risk pregnancies. METHODS We collected data on gestational diabetes mellitus, hypertensive disorder during pregnancy, preterm birth, and stillbirth from the National Health Information Databases, provided by the Korean National Health Insurance Service.R To assess individual-level exposure to air pollutants, a spatial prediction model and area-averaging approach were used. RESULTS From 2015 to 2018, data of 789,595 high-risk pregnancies were analyzed. The ratio of gestational diabetes mellitus in the country was the highest, followed by preterm birth, hypertensive disorder during pregnancy, and stillbirth. Approximately 71.7% of pregnant women (566,143) presented with one pregnancy complication in identical pregnancies, 27.5% (216,714) presented with two, and 0.9% (6738) presented with three or more. Multiple logistic regression models with adjustments for age, residence, and income variables indicated that the risk of having two or more pregnancy complications was positively associated with the exposure to higher levels of PM10 (odds ratio [OR], 1.11; 95% confidence interval [CI], 1.09-1.12) and PM2.5 (OR, 1.14; 95% CI, 1.12-1.15). The highest quartile presented higher odds of two or more pregnancy complications compared with the lower three quartiles of PM10, PM2.5, CO, NO2, and SO2 exposures (p < 0.001). CONCLUSION The results indicate that the risk of pregnancy complications is positively associated with the exposure to the high concentrations of PM10, PM2.5, CO, NO2, and SO2.
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Affiliation(s)
- Ju Hee Kim
- Department of Nursing, College of Nursing Science, Kyung Hee University, Seoul, 02447, Republic of Korea.
| | - Yoon Young Choi
- Artificial Intelligence Big Data Medical Center, Wonju College of Medicine, Yonsei University, Wonju, 26426, Republic of Korea
| | - Soo-In Yoo
- Department of Nursing, College of Nursing Science, Kyung Hee University, Seoul, 02447, Republic of Korea
| | - Dae Ryong Kang
- Department of Precision Medicine, Wonju College of Medicine, Yonsei University, Wonju, 26426, Republic of Korea.
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Williams AD, Kanner J, Grantz KL, Ouidir M, Sheehy S, Sherman S, Robledo C, Mendola P. Air pollution exposure and risk of adverse obstetric and neonatal outcomes among women with type 1 diabetes. ENVIRONMENTAL RESEARCH 2021; 197:111152. [PMID: 33844969 PMCID: PMC8190832 DOI: 10.1016/j.envres.2021.111152] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Revised: 02/13/2021] [Accepted: 04/07/2021] [Indexed: 05/30/2023]
Abstract
AIMS/HYPOTHESIS Women with type 1 diabetes have increased risk for poor obstetric outcomes. Prenatal air pollution exposure is also associated with adverse outcomes for women and infants. We examined whether women with type 1 diabetes are more vulnerable than other women to pollution-associated risks during pregnancy. METHODS In singleton deliveries from the Consortium on Safe Labor (2002-2008), obstetric and neonatal outcomes were compared for women with type 1 diabetes (n = 507) and women without autoimmune disease (n = 204,384). Preconception, trimester, and whole pregnancy average air pollutant exposure (ozone (O3), carbon monoxide (CO), particulate matter >10 μm (PM10), PM > 2.5 μm (PM2.5), sulfur dioxide (SO2), nitrogen oxides (NOx)) were estimated using modified Community Multiscale Air Quality models. Poisson regression models with diabetes*pollutant interaction terms estimated relative risks and 95% confidence intervals for adverse outcomes, adjusted for maternal characteristics and geographic region. RESULTS For whole pregnancy exposure to SO2, women with type 1 diabetes had 15% increased risk (RR:1.15 95%CI:1.01,1.31) and women without autoimmune disease had 5% increased risk (RR:1.05 95%CI:1.05,1.06) for small for gestational age birth (pinteraction = 0.09). Additionally, whole pregnancy O3 exposure was associated with 10% increased risk (RR:1.10 95%CI:1.02,1.17) among women with type 1 diabetes and 2% increased risk (RR:1.02 95%CI:1.00,1.04) among women without autoimmune disease for perinatal mortality (pinteraction = 0.08). Similar patterns were observed between PM2.5 exposure and spontaneous preterm birth. CONCLUSIONS Pregnant women with type 1 diabetes may be at greater risk for adverse outcomes when exposed to air pollution than women without autoimmune disease.
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Affiliation(s)
- Andrew D Williams
- Public Health Program, Department of Population Health, School of Medicine and Health Sciences, University of North Dakota, Room E162, 1301 North Columbia Road Stop 9037, Grand Forks, ND, 58202, USA.
| | - Jenna Kanner
- School of Medicine, University of Maryland, Baltimore, 655 W. Baltimore Stree, Baltimore, MD, 21201, USA
| | - Katherine L Grantz
- Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, 6710B Rockledge Drive, Bethesda, MD, 20892, USA
| | - Marion Ouidir
- Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, 6710B Rockledge Drive, Bethesda, MD, 20892, USA
| | - Shanshan Sheehy
- Slone Epidemiology Center, Boston University School of Medicine, 72 E Concord Street, Boston, MA, 02118, USA
| | - Seth Sherman
- The Emmes Company, 401 North Washington Street #700, Rockville, MD, 20850, USA
| | - Candace Robledo
- Department of Population Health and Biostatistics, University of Texas Rio Grande Valley School of Medicine, 2102 Treasure Hill Blvd, Harlingen, TX, 78550, USA
| | - Pauline Mendola
- Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, 6710B Rockledge Drive, Bethesda, MD, 20892, USA; Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, 401 Kimball Tower, Buffalo, NY, 14214, USA
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Wei H, Baktash MB, Zhang R, Wang X, Zhang M, Jiang S, Xia Y, Zhao X, Hu W. Associations of maternal exposure to fine particulate matter constituents during pregnancy with Apgar score and duration of labor: A retrospective study in Guangzhou, China, 2012-2017. CHEMOSPHERE 2021; 273:128442. [PMID: 33082001 DOI: 10.1016/j.chemosphere.2020.128442] [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: 07/19/2020] [Revised: 09/16/2020] [Accepted: 09/24/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND Limited evidence is available for demonstrating effects of prenatal PM2.5 and its components exposure on Apgar score and duration of labor. OBJECTIVE We sought to investigate the associations between PM2.5 constituents, Apgar score and duration of labor, and evaluated the potential mediating role of duration of labor. METHODS This study included 5396 participants. The V4·CH.02 was applied to assessing exposure to PM2.5 constituents. The associations between PM2.5 constituents Apgar score and duration of labor were examined by multivariate linear regression. Mediation analysis was conducted to estimate the potential mediation effect of duration of labor. RESULTS Trimester-specific exposure to soil dust was significantly associated with 1-min Apgar score (1st trimester: OR: 1.03, 95% CI:0.97, 1.10; 2nd trimester: OR: 1.07, 95% CI: 1.01, 1.14; 3rd trimester: OR: 1.07, 95% CI: 1.01, 1.13), duration of first stage of labor (1st trimester: β: 0.32, 95% CI: 0.07, 0.58; 2nd trimester: β: 0.27, 95% CI: 0.04, 0.51; 3rd trimester: β: 0.37, 95% CI: 0.13, 0.61) and duration of second stage of labor (1st trimester: β: 0.04, 95% CI: -0.00, 0.09; 2nd trimester: β: 0.05, 95% CI: 0.01, 0.10; 3rd trimester: β: 0.05, 95% CI: 0.00, 0.09). The duration of labor mediated the relationship between soil dust and 1-min Apgar score. CONCLUSION This study demonstrated that prenatal exposure to soil dust was significantly associated with the risk of abnormal 1-min Apgar score and extended stage of labor.
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Affiliation(s)
- Hongcheng Wei
- State Key Laboratory of Reproductive Medicine, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China; Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Mohammad Basir Baktash
- State Key Laboratory of Reproductive Medicine, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China; Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Rui Zhang
- Department of Obstetrics and Gynecology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, China
| | - Xu Wang
- State Key Laboratory of Reproductive Medicine, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China; Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Mingzhi Zhang
- State Key Laboratory of Reproductive Medicine, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China; Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Suzhi Jiang
- Department of Obstetrics and Gynecology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, China
| | - Yankai Xia
- State Key Laboratory of Reproductive Medicine, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China; Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Xiaomiao Zhao
- Department of Obstetrics and Gynecology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, China.
| | - Weiyue Hu
- State Key Laboratory of Reproductive Medicine, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China; Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
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Measurements of NOx and Development of Land Use Regression Models in an East-African City. ATMOSPHERE 2021. [DOI: 10.3390/atmos12040519] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Air pollution causes premature mortality and morbidity globally, but these adverse health effects occur over proportionately in low- and middle-income countries. Lack of both air pollution data and knowledge of its spatial distribution in African countries have been suggested to lead to an underestimation of health effects from air pollution. This study aims to measure nitrogen oxides (NOx), as well as nitrogen dioxide (NO2), to develop Land Use Regression (LUR) models in the city of Adama, Ethiopia. NOx and NO2 was measured at over 40 sites during six days in both the wet and dry seasons. Throughout the city, measured mean levels of NOx and NO2 were 29.0 µg/m3 and 13.1 µg/m3, respectively. The developed LUR models explained 68% of the NOx variances and 75% of the NO2. Both models included similar geographical predictor variables (related to roads, industries, and transportation administration areas) as those included in prior LUR models. The models were validated by using leave-one-out cross-validation and tested for spatial autocorrelation and multicollinearity. The performance of the models was good, and they are feasible to use to predict variance in annual average NOx and NO2 concentrations. The models developed will be used in future epidemiological and health impact assessment studies. Such studies may potentially support mitigation action and improve public health.
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Chen J, Fang J, Zhang Y, Xu Z, Byun HM, Li PH, Deng F, Guo X, Guo L, Wu S. Associations of adverse pregnancy outcomes with high ambient air pollution exposure: Results from the Project ELEFANT. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 761:143218. [PMID: 33190892 DOI: 10.1016/j.scitotenv.2020.143218] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Accepted: 10/18/2020] [Indexed: 05/28/2023]
Abstract
BACKGROUND Investigations on the potential effects of high air pollution exposure before pregnancy on adverse pregnancy outcomes are limited, and it is unknown whether air quality standards looser than that set by World Health Organization (WHO) still can provide sufficient protection pregnant women from adverse pregnancy outcomes. OBJECTIVES To evaluate the potential effects of high ambient air pollution around pregnancy on preterm birth (PTB) and low birth weight (LBW), and assess the risk of PTB and LBW associated with air pollutants with reference to different air quality standards of WHO and China. METHODS Our study leveraged 10,960 pregnant women from the Project ELEFANT. Daily average particulate matter with an aerodynamic diameter of ≤2.5 μm (PM2.5) and ≤10 μm (PM10), nitrogen dioxide (NO2), sulfur dioxide (SO2), carbon monoxide (CO) and ozone (O3) concentrations were collected based on Chinese Air Quality Reanalysis datasets. Hazard ratios (HR) of PTB and LBW were estimated for maternal PM2.5, PM10, NO2, SO2, CO and O3 exposures and related proportions of days with daily average air pollution concentrations exceeding air quality standards of WHO and China around pregnancy using Cox proportional hazards regression models with adjustment for potential confounders. RESULTS Ambient PM2.5, PM10, NO2, SO2 and CO exposure during the before pregnancy and pregnancy period were both significantly and positively associated with increased risk of PTB, PTB subtypes and LBW. A 10% increase in proportion of days with daily average PM2.5 exceeding 25 μg/m3 over the entire pregnancy was most apparently associated with risk of PTB (HR, 12.66; 95% CI, 8.20-19.53) and LBW (HR, 17.42; 95% CI, 6.88-44.10) among all PM2.5 proportion variables based on different air quality standards. CONCLUSION Air quality standards of WHO are necessary to be implemented to control for risks of adverse pregnancy outcomes associated with ambient air pollution in areas with high air pollution levels.
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Affiliation(s)
- Juan Chen
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - Junkai Fang
- Tianjin Institute of Medical & Pharmaceutical Sciences, Tianjin, China
| | - Ying Zhang
- Medical Genetic Laboratory, Department of Obstetrics and Gynecology, Tianjin Medical University General Hospital, Tianjin, China
| | - Zhouyang Xu
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - Hyang-Min Byun
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Peng-Hui Li
- School of Environmental Science and Safety Engineering, Tianjin University of Technology, Tianjin, China
| | - Furong Deng
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - Xinbiao Guo
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - Liqiong Guo
- Institute of Disaster Medicine, Tianjin University, Tianjin, China.
| | - Shaowei Wu
- Department of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China; Key Laboratory of Molecular Cardiovascular Sciences, Peking University, Ministry of Education, China.
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Lee KS, Kim HI, Kim HY, Cho GJ, Hong SC, Oh MJ, Kim HJ, Ahn KH. Association of Preterm Birth with Depression and Particulate Matter: Machine Learning Analysis Using National Health Insurance Data. Diagnostics (Basel) 2021; 11:diagnostics11030555. [PMID: 33808913 PMCID: PMC8003604 DOI: 10.3390/diagnostics11030555] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Revised: 03/15/2021] [Accepted: 03/18/2021] [Indexed: 12/30/2022] Open
Abstract
This study uses machine learning and population data to analyze major determinants of preterm birth including depression and particulate matter. Retrospective cohort data came from Korea National Health Insurance Service claims data for 405,586 women who were aged 25–40 years and gave births for the first time after a singleton pregnancy during 2015–2017. The dependent variable was preterm birth during 2015–2017 and 90 independent variables were included (demographic/socioeconomic information, particulate matter, disease information, medication history, obstetric information). Random forest variable importance was used to identify major determinants of preterm birth including depression and particulate matter. Based on random forest variable importance, the top 40 determinants of preterm birth during 2015–2017 included socioeconomic status, age, proton pump inhibitor, benzodiazepine, tricyclic antidepressant, sleeping pills, progesterone, gastroesophageal reflux disease (GERD) for the years 2002–2014, particulate matter for the months January–December 2014, region, myoma uteri, diabetes for the years 2013–2014 and depression for the years 2011–2014. In conclusion, preterm birth has strong associations with depression and particulate matter. What is really needed for effective prenatal care is strong intervention for particulate matters together with active counseling and medication for common depressive symptoms (neglected by pregnant women).
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Affiliation(s)
- Kwang-Sig Lee
- AI Center, Korea University Anam Hospital, Seoul 02841, Korea; (K.-S.L.); (H.-I.K.)
| | - Hae-In Kim
- AI Center, Korea University Anam Hospital, Seoul 02841, Korea; (K.-S.L.); (H.-I.K.)
- School of Industrial Management Engineering, Korea University, Seoul 02841, Korea
- Department of Obstetrics & Gynecology, Korea University Anam Hospital, Seoul 02841, Korea;
| | - Ho Yeon Kim
- Department of Obstetrics & Gynecology, Korea University Ansan Hospital, Ansan 15355, Korea; (H.Y.K.); (H.J.K.)
| | - Geum Joon Cho
- Department of Obstetrics & Gynecology, Korea University Guro Hospital, Seoul 08308, Korea; (G.J.C.); (M.J.O.)
| | - Soon Cheol Hong
- Department of Obstetrics & Gynecology, Korea University Anam Hospital, Seoul 02841, Korea;
| | - Min Jeong Oh
- Department of Obstetrics & Gynecology, Korea University Guro Hospital, Seoul 08308, Korea; (G.J.C.); (M.J.O.)
| | - Hai Joong Kim
- Department of Obstetrics & Gynecology, Korea University Ansan Hospital, Ansan 15355, Korea; (H.Y.K.); (H.J.K.)
| | - Ki Hoon Ahn
- Department of Obstetrics & Gynecology, Korea University Anam Hospital, Seoul 02841, Korea;
- Correspondence: ; Tel.: +82-02-920-6777
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