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Hill E, Harleman M, Harris L, Sventek G, Ritz B, Campbell EJ, Willis M, Hystad P. Roadway construction as a natural experiment to examine air pollution impacts on infant health. ENVIRONMENTAL RESEARCH 2024; 252:118788. [PMID: 38555097 DOI: 10.1016/j.envres.2024.118788] [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: 11/20/2023] [Revised: 03/14/2024] [Accepted: 03/23/2024] [Indexed: 04/02/2024]
Abstract
Traffic-related air pollution (TRAP) poses a significant public health risk that is associated with adverse birth outcomes. Large roadway infrastructure projects present a natural experiment to examine how resulting congestion change is associated with adverse birth outcomes for nearby populations. This study is designed to examine the influence of living close to a roadway before, during, and after a construction project using a difference-in-differences design. We integrated data on all large roadway construction projects (defined as widening of existing roads, building new roads, improving bridges, installing intelligent transportation systems, improving intersections, and installing or upgrading traffic signals) in Texas from 2007 to 2016 with Vital Statistic data for all births with residential addresses within 1 km of construction projects. Our outcomes included term low birth weight, term birth weight, preterm birth, and very preterm birth. Using a difference-in-differences design, we included births within 3 years of construction start and 2 years of construction end. In our main model, the exposed group is limited to pregnant individuals residing within 300 m of a construction project, and the control group includes those living within 300-1000 m from a project. We used regression models to estimate the influence of construction on infant health. We included 1,360 large roadway construction projects linked to 408,979 births. During construction, we found that the odds of term low birth weight increased by 19% (95% CI: 1.05, 1.36). However, we saw little evidence of an association for other birth outcomes. Contrary to our hypothesis of decreased TRAP after construction ends, we did not observe consistent improvements post-construction for pregnant individuals living within 300 m. Continued consideration of the influence of traffic congestion programs on birth outcomes is necessary to inform future policy decisions.
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Affiliation(s)
- Elaine Hill
- Department of Economics, School of Arts and Sciences, University of Rochester, 280 Hutchison Rd, Rochester, NY, USA; Department of Public Health Sciences, School of Medicine and Dentistry, University of Rochester, 265 Crittenden Blvd Box 420644, Rochester, NY, USA.
| | - Max Harleman
- Department of Government and Sociology, College of Arts and Sciences, Georgia College and State University, 410 W Greene St, Milledgeville, GA, USA
| | - Lena Harris
- Department of Economics, School of Arts and Sciences, University of Rochester, 280 Hutchison Rd, Rochester, NY, USA
| | - Grace Sventek
- Department of Economics, School of Arts and Sciences, University of Rochester, 280 Hutchison Rd, Rochester, NY, USA; Department of Public Health Sciences, School of Medicine and Dentistry, University of Rochester, 265 Crittenden Blvd Box 420644, Rochester, NY, USA
| | - Beate Ritz
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, 650 Charles E. Young Dr. South, Los Angeles, CA, USA
| | - Erin J Campbell
- Department of Epidemiology, School of Public Health, Boston University, 715 Albany St, Boston, MA, USA
| | - Mary Willis
- Department of Epidemiology, School of Public Health, Boston University, 715 Albany St, Boston, MA, USA
| | - Perry Hystad
- School of Nutrition and Public Health, College of Health, Oregon State University, 160 SW 26th St, Corvallis, OR, USA
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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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3
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Márquez-Lázaro J, Madera M, Bernabe E. Particulate matter 2.5 exposure during pregnancy and birth outcomes: Evidence from Colombia. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 927:172369. [PMID: 38604361 DOI: 10.1016/j.scitotenv.2024.172369] [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: 12/29/2023] [Revised: 04/03/2024] [Accepted: 04/08/2024] [Indexed: 04/13/2024]
Abstract
Particulate matter is a type of air pollution that consists of fine particles with a diameter <2.5 μm (PM2.5), which can easily penetrate the respiratory system and enter the bloodstream, increasing health risks for pregnant women and their unborn babies. Recent reports have suggested that there is a positive association between PM2.5 exposure and adverse pregnancy outcomes. However, most evidence of this relationship comes from Western countries. Thus, the objective of this study was to evaluate the association between PM2.5 exposure during pregnancy and birth outcomes among pregnant women in Colombia. This study included 542,800 singletons born in 2019 to Colombian women, aged 15+ years, residing in 981 municipalities. Data on parental, child and birth characteristics were extracted from anonymized live birth records. Satellite-based estimates of monthly PM2.5 concentrations at the surface level were extracted for each municipality from the Atmospheric Composition Analysis Group (ACAG). PM2.5 exposure during pregnancy was indicated by the monthly average of PM2.5 concentrations across the pregnancy duration for the municipality where the child was born. The associations of municipality-level PM2.5 concentration during pregnancy with pre-term birth (PTB) and low birth weight (LBW) were tested in separate two-level logistic regression models, with babies nested within municipalities. The prevalence of PTB and LBW were 8.6 % and 8.3 %, respectively. The mean PM2.5 concentration across the 981 municipalities was 18.26 ± 3.30 μg/m3, ranging from 9.11 to 31.44 μg/m3. Greater PM2.5 concentration at municipality level was associated with greater odds of PTB (1.05; 95%CI: 1.04-1.06) and LBW (1.04; 95%CI: 1.03-1.05), after adjustment for confounders. Our findings provide new evidence on the association between PM2.5 on adverse pregnancy outcomes from a middle-income country.
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Affiliation(s)
- Johana Márquez-Lázaro
- Medicine program, TOXSA group, Corporación Universitaria Rafael Núñez, Cartagena, Colombia.
| | - Meisser Madera
- Department of Research, Faculty of Dentistry, Universidad de Cartagena, Cartagena, Colombia.
| | - Eduardo Bernabe
- Faculty of Medicine and Dentistry, Queen Mary University of London, London, UK.
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Yan R, Ma D, Liu Y, Wang R, Fan L, Yan Q, Chen C, Wang W, Ren Z, Ku T, Ning X, Sang N. Developmental Toxicity of Fine Particulate Matter: Multifaceted Exploration from Epidemiological and Laboratory Perspectives. TOXICS 2024; 12:274. [PMID: 38668497 PMCID: PMC11054511 DOI: 10.3390/toxics12040274] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/09/2024] [Revised: 04/02/2024] [Accepted: 04/03/2024] [Indexed: 04/29/2024]
Abstract
Particulate matter of size ≤ 2.5 μm (PM2.5) is a critical environmental threat that considerably contributes to the global disease burden. However, accompanied by the rapid research progress in this field, the existing research on developmental toxicity is still constrained by limited data sources, varying quality, and insufficient in-depth mechanistic analysis. This review includes the currently available epidemiological and laboratory evidence and comprehensively characterizes the adverse effects of PM2.5 on developing individuals in different regions and various pollution sources. In addition, this review explores the effect of PM2.5 exposure to individuals of different ethnicities, genders, and socioeconomic levels on adverse birth outcomes and cardiopulmonary and neurological development. Furthermore, the molecular mechanisms involved in the adverse health effects of PM2.5 primarily encompass transcriptional and translational regulation, oxidative stress, inflammatory response, and epigenetic modulation. The primary findings and novel perspectives regarding the association between public health and PM2.5 were examined, highlighting the need for future studies to explore its sources, composition, and sex-specific effects. Additionally, further research is required to delve deeper into the more intricate underlying mechanisms to effectively prevent or mitigate the harmful effects of air pollution on human health.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | - Tingting Ku
- College of Environment and Resource, Research Center of Environment and Health, Shanxi University, Taiyuan 030006, China; (R.Y.); (D.M.); (Y.L.); (R.W.); (L.F.); (Q.Y.); (C.C.); (W.W.); (Z.R.); (X.N.); (N.S.)
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5
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Gong X, Huang Y, Duong J, Leng S, Zhan FB, Guo Y, Lin Y, Luo L. Industrial air pollution and low birth weight in New Mexico, USA. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2023; 348:119236. [PMID: 37857221 PMCID: PMC10829484 DOI: 10.1016/j.jenvman.2023.119236] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Revised: 09/10/2023] [Accepted: 10/02/2023] [Indexed: 10/21/2023]
Abstract
In recent decades, the low birth weight (LBW) rate in New Mexico has consistently exceeded the Unites States average. Maternal exposure to air pollution during pregnancy may be a significant contributor to LBW in offspring. This study investigated the links between maternal residential exposure to air pollution from industrial sources and the risk of LBW in offspring. The analysis included 22,375 LBW cases and 233,340 controls. It focused on 14 common chemicals listed in the Toxic Release Inventory (TRI) and monitoring datasets, which have abundant monitoring samples. The Emission Weighted Proximity Model (EWPM) was used to calculate maternal air pollution exposure intensity. Adjusted odds ratios (adjORs) were calculated using binary logistic regressions to examine the association between maternal residential air pollution exposure and LBW, while controlling for potential confounders, such as the maternal age, race/ethnicity, gestational age, prenatal care, education level, consumption of alcohol during pregnancy, public health regions, child's sex, and the year of birth. Multiple comparison correction was applied using the False Discovery Rate approach. The results showed that maternal residential exposure to 1,2,4-trimethylbenzene, benzene, chlorine, ethylbenzene, and styrene had significant positive associations with LBW in offspring, with adjusted odds ratios ranging from 1.10 to 1.13. These five chemicals remained as significant risk factors after dividing the estimated exposure intensities into four categories. In addition, significant linear trends were found between LBW and maternal exposure to each of the five identified chemicals. Furthermore, 1,2,4-trimethylbenzene was identified as a risk factor to LBW for the first time. The findings of this study should be confirmed through additional epidemiological, biological, and toxicological studies.
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Affiliation(s)
- Xi Gong
- Department of Geography & Environmental Studies, UNM Center for the Advancement of Spatial Informatics Research and Education (ASPIRE), University of New Mexico, Albuquerque, NM, 87131, USA.
| | - Yanhong Huang
- Department of Geography & Environmental Studies, UNM Center for the Advancement of Spatial Informatics Research and Education (ASPIRE), University of New Mexico, Albuquerque, NM, 87131, USA.
| | - Jenny Duong
- New Mexico Department of Health, Santa Fe, NM, 87505, USA.
| | - Shuguang Leng
- School of Medicine, University of New Mexico, University of New Mexico Comprehensive Cancer Center, Lung Cancer Program, Lovelace Biomedical Research Institute, Albuquerque, New Mexico, 87131, USA.
| | - F Benjamin Zhan
- Department of Geography and Environmental Studies, Texas Center for Geographic Information Science, Texas State University, San Marcos, TX, 78666, USA.
| | - Yan Guo
- Department of Public Health and Sciences, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL, 33136, USA.
| | - Yan Lin
- Department of Geography & Environmental Studies, UNM Center for the Advancement of Spatial Informatics Research and Education (ASPIRE), University of New Mexico, Albuquerque, NM, 87131, USA.
| | - Li Luo
- Division of Epidemiology, Biostatistics, and Preventive Medicine, Department of Internal Medicine, University of New Mexico Comprehensive Cancer Center, University of New Mexico, Albuquerque, NM, 87131, USA.
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6
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Huang Y, Gong X, Liu L, Luo L, Leng S, Lin Y. Maternal exposure to metal components of PM 2.5 and low birth weight in New Mexico, USA. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:98526-98535. [PMID: 37608181 PMCID: PMC10829739 DOI: 10.1007/s11356-023-29291-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Accepted: 08/08/2023] [Indexed: 08/24/2023]
Abstract
Infants with low birth weight (LBW) are more likely to have health problems than normal weight infants. In studies examining the associations between particulate matter (PM) exposures and LBW, there is a tendency to focus on PM2.5 as a whole. However, insufficient information is available regarding the effects of different components of PM2.5 on birth weight. This study identified the associations between maternal exposure to 10 metal components of PM2.5 and LBW in offspring based on small area (divided by population size) level data in New Mexico, USA, from 2012 to 2016. This study used a pruned feed-forward neural network (pruned-FNN) approach to estimate the annual average exposure index to each metal component in each small area. The linear regression model was employed to examine the association between maternal PM2.5 metal exposures and LBW rate in small areas, adjusting for the female percentage and race/ethnicity compositions, marriage status, and educational level in the population. An interquartile range increase in maternal exposure to mercury and chromium of PM2.5 increased LBW rate by 0.43% (95% confidence interval (CI): 0.18-0.68%) and 0.63% (95% CI: 0.15-1.12%), respectively. These findings suggest that maternal exposure to metal components of air pollutants may increase the risk of LBW in offspring. With no similar studies in New Mexico, this study also posed great importance because of a higher LBW rate in New Mexico than the national average. These findings provide critical information to inform further epidemiological, biological, and toxicological studies.
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Affiliation(s)
- Yanhong Huang
- Department of Geography & Environmental Studies, University of New Mexico, Albuquerque, NM, 87131, USA
- UNM Center for the Advancement of Spatial Informatics Research and Education (ASPIRE), University of New Mexico, Albuquerque, NM, 87131, USA
| | - Xi Gong
- Department of Geography & Environmental Studies, University of New Mexico, Albuquerque, NM, 87131, USA.
- UNM Center for the Advancement of Spatial Informatics Research and Education (ASPIRE), University of New Mexico, Albuquerque, NM, 87131, USA.
| | - Lin Liu
- UNM Center for the Advancement of Spatial Informatics Research and Education (ASPIRE), University of New Mexico, Albuquerque, NM, 87131, USA
- Department of Computer Science, University of New Mexico, Albuquerque, NM, 87131, USA
| | - Li Luo
- Division of Epidemiology, Biostatistics, and Preventive Medicine, Department of Internal Medicine, University of New Mexico, Albuquerque, NM, 87131, USA
- UNM Comprehensive Cancer Center, University of New Mexico, Albuquerque, NM, 87131, USA
| | - Shuguang Leng
- Division of Epidemiology, Biostatistics, and Preventive Medicine, Department of Internal Medicine, University of New Mexico, Albuquerque, NM, 87131, USA
- UNM Comprehensive Cancer Center, University of New Mexico, Albuquerque, NM, 87131, USA
- Lung Cancer Program, Lovelace Biomedical Research Institute, Albuquerque, NM, USA
| | - Yan Lin
- Department of Geography & Environmental Studies, University of New Mexico, Albuquerque, NM, 87131, USA
- UNM Center for the Advancement of Spatial Informatics Research and Education (ASPIRE), University of New Mexico, Albuquerque, NM, 87131, USA
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Caron-Beaudoin É, Subramanian A, Daley C, Lakshmanan S, Whitworth KW. Estimation of exposure to particulate matter in pregnant individuals living in an area of unconventional oil and gas operations: Findings from the EXPERIVA study. JOURNAL OF TOXICOLOGY AND ENVIRONMENTAL HEALTH. PART A 2023; 86:383-396. [PMID: 37154018 DOI: 10.1080/15287394.2023.2208594] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/10/2023]
Abstract
Northeastern British Columbia (Canada) is an area of oil and gas exploitation, which may result in release of fine (PM2.5) and inhalable (PM10) particulate matter. The aims of this study were to: 1) apply extrapolation methods to estimate exposure to PM2.5 and PM10 concentrations among EXPERIVA (Exposures in the Peace River Valley study) participants using air quality data archives; and 2) conduct exploratory analyses to investigate correlation between PM exposure and metrics of oil and gas wells density, proximity, and activity. Gestational exposure to PM2.5 and PM10 of the EXPERIVA participants (n = 85) was estimated by averaging the concentrations measured at the closest or three closest air monitoring stations during the pregnancy period. Drilling metrics were calculated based upon the density and proximity of conventional and unconventional oil and gas wells to each participant's residence. Phase-specific metrics were determined for unconventional wells. The correlations (ρ) between exposure to PM2.5 and PM10 and metrics of well density/proximity were determined using Spearman's rank correlation test. Estimated PM ambient air concentrations ranged between 4.73 to 12.13 µg/m3 for PM2.5 and 7.14 to 26.61 µg/m3 for PM10. Conventional wells metrics were more strongly correlated with PM10 estimations (ρ between 0.28 and 0.79). Unconventional wells metrics for all phases were positively correlated with PM2.5 estimations (ρ between 0.23 and 0.55). These results provide evidence of a correlation between density and proximity of oil and gas wells and estimated PM exposure in the EXPERIVA participants.
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Affiliation(s)
- Élyse Caron-Beaudoin
- Department of Health and Society, University of Toronto Scarborough, Toronto, Ontario, Canada
- Department of Physical and Environmental Sciences, University of Toronto Scarborough, Toronto, Ontario, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
- Centre for Clinical Epidemiology and Evaluation, University of British Columbia, Vancouver, British Columbia, Canada
| | - Amrita Subramanian
- Department of Health and Society, University of Toronto Scarborough, Toronto, Ontario, Canada
| | - Coreen Daley
- Department of Physical and Environmental Sciences, University of Toronto Scarborough, Toronto, Ontario, Canada
| | - Siddharthan Lakshmanan
- Department of Health and Society, University of Toronto Scarborough, Toronto, Ontario, Canada
| | - Kristina W Whitworth
- Department of Medicine, Section of Epidemiology and Population Sciences, Center for Precision Environmental Health, Baylor College of Medicine, Houston, TX, USA
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Huang Y, Gong X, Liu L, Luo L, Leng S, Lin Y. Maternal exposure to metal components of PM2.5 and low birth weight in New Mexico, USA. RESEARCH SQUARE 2023:rs.3.rs-2666605. [PMID: 37034648 PMCID: PMC10081375 DOI: 10.21203/rs.3.rs-2666605/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/30/2023]
Abstract
Infants with low birth weight (LBW) are more likely to have health problems than normal weight infants. In studies examining the associations between particulate matter (PM) exposures and LBW, there is a tendency to focus on PM 2.5 as a whole. However, insufficient information is available regarding the effects of different components of PM 2.5 on birth weight. This study identified the associations between maternal exposure to 10 metal components of PM 2.5 and LBW in offspring based on small area (divided by population size) level data in New Mexico, USA, from 2012 to 2016. This study used a pruned feed-forward neural network (pruned-FNN) approach to estimate the annual average exposure index to each metal component in each small area. The linear regression model was employed to examine the association between maternal PM 2.5 metal exposures and LBW rate in small areas, adjusting for the female percentage and race/ethnicity compositions, marriage status and educational level in the population. An interquartile range increase in maternal exposure to mercury and chromium of PM 2.5 increased LBW rate by 0.43% (95% confidence interval (CI): 0.18%-0.68%) and 0.63% (95% CI: 0.15%-1.12%), respectively. These findings suggest that maternal exposure to metal components of air pollutants may increase the risk of LBW in offspring. With no similar studies in New Mexico, this study also posed great importance because of a higher LBW rate in New Mexico than the national average. These findings provide critical information to inform further epidemiological, biological, and toxicological studies.
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Affiliation(s)
- Yanhong Huang
- The University of New Mexico - Albuquerque: The University of New Mexico
| | | | - Lin Liu
- University of New Mexico - Albuquerque: The University of New Mexico
| | - Li Luo
- University of New Mexico - Albuquerque: The University of New Mexico
| | - Shuguang Leng
- University of New Mexico - Albuquerque: The University of New Mexico
| | - Yan Lin
- University of New Mexico - Albuquerque: The University of New Mexico
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Zhou W, Ming X, Yang Y, Hu Y, He Z, Chen H, Li Y, Cheng J, Zhou X. Associations between maternal exposure to ambient air pollution and very low birth weight: A birth cohort study in Chongqing, China. Front Public Health 2023; 11:1123594. [PMID: 36960371 PMCID: PMC10028238 DOI: 10.3389/fpubh.2023.1123594] [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: 12/14/2022] [Accepted: 02/15/2023] [Indexed: 03/09/2023] Open
Abstract
Introduction There have been many researches done on the association between maternal exposure to ambient air pollution and adverse pregnancy outcomes, but few studies related to very low birth weight (VLBW). This study thus explores the association between maternal exposure to ambient air pollutants and the risk of VLBW, and estimates the sensitive exposure time window. Methods A retrospective cohort study analyzed in Chongqing, China, during 2015-2020. The Generalized Additive Model were applied to estimate exposures for each participant during each trimester and the entire pregnancy period. Results For each 10 μg/m3 increase in PM2.5 during pregnancy, the relative risk of VLBW increased on the first trimester, with RR = 1.100 (95% CI: 1.012, 1.195) in the single-pollutant model. Similarly, for each 10 μg/m3 increase in PM10, there was a 12.9% (RR = 1.129, 95% CI: 1.055, 1.209) increase for VLBW on the first trimester in the single-pollutant model, and an 11.5% (RR = 1.115, 95% CI: 1.024, 1.213) increase in the multi-pollutant model, respectively. The first and second trimester exposures of NO2 were found to have statistically significant RR values for VLBW. The RR values on the first trimester were 1.131 (95% CI: 1.037, 1.233) and 1.112 (95% CI: 1.015, 1.218) in the single-pollutant model and multi-pollutant model, respectively; The RR values on the second trimester were 1.129 (95% CI: 1.027, 1.241) and 1.146 (95% CI: 1.038, 1.265) in the single-pollutant model and multi-pollutant model, respectively. The RR of O3 exposure for VLBW on the entire trimester was 1.076 (95% CI: 1.010-1.146), and on the second trimester was 1.078 (95% CI: 1:016, 1.144) in the single-pollutant model. Conclusion This study indicates that maternal exposure to high levels of PM2.5, PM10, NO2, and O3 during pregnancy may increase the risk of very low birth weight, especially for exposure on the first and second trimester. Reducing the risk of early maternal exposure to ambient air pollution is thus necessary for pregnant women.
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Affiliation(s)
- Wenzheng Zhou
- Department of Quality Management Section, Women and Children's Hospital of Chongqing Medical University, Chongqing, China
- Department of Quality Management Section, Chongqing Health Center for Women and Children, Chongqing, China
| | - Xin Ming
- Department of Quality Management Section, Women and Children's Hospital of Chongqing Medical University, Chongqing, China
- Department of Quality Management Section, Chongqing Health Center for Women and Children, Chongqing, China
| | - Yunping Yang
- Department of Quality Management Section, Women and Children's Hospital of Chongqing Medical University, Chongqing, China
- Department of Quality Management Section, Chongqing Health Center for Women and Children, Chongqing, China
| | - Yaqiong Hu
- Department of Quality Management Section, Women and Children's Hospital of Chongqing Medical University, Chongqing, China
- Department of Quality Management Section, Chongqing Health Center for Women and Children, Chongqing, China
| | - Ziyi He
- Department of Quality Management Section, Women and Children's Hospital of Chongqing Medical University, Chongqing, China
- Department of Quality Management Section, Chongqing Health Center for Women and Children, Chongqing, China
| | - Hongyan Chen
- Department of Quality Management Section, Women and Children's Hospital of Chongqing Medical University, Chongqing, China
- Department of Quality Management Section, Chongqing Health Center for Women and Children, Chongqing, China
| | - Yannan Li
- Department of Quality Management Section, Women and Children's Hospital of Chongqing Medical University, Chongqing, China
- Department of Quality Management Section, Chongqing Health Center for Women and Children, Chongqing, China
| | - Jin Cheng
- Institute of Toxicology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, China
- Jin Cheng
| | - Xiaojun Zhou
- Department of Quality Management Section, Women and Children's Hospital of Chongqing Medical University, Chongqing, China
- Department of Quality Management Section, Chongqing Health Center for Women and Children, Chongqing, China
- *Correspondence: Xiaojun Zhou
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Du H, Sun Y, Zhang Y, Wang S, Zhu H, Chen S, Pan H. Interaction of PM 2.5 and pre-pregnancy body mass index on birth weight: A nationwide prospective cohort study. Front Endocrinol (Lausanne) 2022; 13:963827. [PMID: 35957820 PMCID: PMC9360486 DOI: 10.3389/fendo.2022.963827] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Accepted: 07/05/2022] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND Fine particulate matter (PM2.5), one of the most common air pollutants worldwide, has been associated with many adverse birth outcomes in some studies. Pre-pregnancy body mass index (BMI) is an important indicator of maternal obesity that may also contribute to a wide range of birthweight outcomes. Both PM2.5 and maternal obesity have been found associated with issues on neonatal birthweight respectively, and more attentions and interests are focusing on their combined effect on pregnancy outcomes. PURPOSE To explore the modifying effect of pre-pregnancy BMI on the association between gestational PM2.5 and birthweight; to investigate the interactive effect between gestational PM2.5 and pre-pregnancy BMI on birthweight among pregnant women during three trimesters and the whole pregnancy. METHODS This nationwide cohort study used the National Free Preconception Health Examination Project (NFPHEP) data collected from January 1, 2010, to December 31, 2012. A total population of 248,501 Chinese women from 220 counties registered this project. Pre-pregnancy BMI as a common anthropometric examination was collected during preconception investigation, and gestational PM2.5 was derived from a hindcast model for historical PM2.5 estimation from satellite-retrieved aerosol optic depth. Subgroup analysis was conducted to explore a potential modifying effect on the association between PM2.5 and birthweight during pregnancy by four pre-pregnancy BMI subgroups. Interaction analysis by introducing product terms to multivariable linear regression was also used to examine whether there was an interactive relationship between PM2.5 and pre-pregnancy BMI. RESULTS Totally, 193,461 participants were included in our study. The average concentration of PM2.5 was 75.33 μg/m3. Higher exposure of PM2.5 during the entire pregnancy was associated with higher birthweight (17.15 g per 10 μg/m3; 95% CI:16.15, 18.17). Each 10 μg/m3 increase in PM2.5 during the first, second, and third trimesters was associated with increases in birthweight by 14.93 g (95%CI: 13.96, 15.89), 13.75 g (95% CI: 12.81, 14.69), and 8.79 g (95% CI: 8.09, 9.49), respectively. Higher pre-pregnancy BMI per kg/m2 was associated with an increase of birthweight by 7.012 g (95% CI: 6.121, 7.902). Product terms between PM2.5 and pre-pregnancy BMI were significant for the first, second trimesters, and the entire duration of pregnancy. CONCLUSIONS Our results found both gestational PM2.5 exposure and pre-pregnancy BMI respectively correlated with the increase of birthweight. A negative interaction between pre-pregnancy BMI and gestational PM2.5 was discovered in term of birthweight gain. Avoidance of high-dose exposure to PM2.5 during the early and middle stages of pregnancy and pre-pregnancy overweight/obesity may help prevent high birthweight.
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Affiliation(s)
- Hanze Du
- Department of Endocrinology, Key Laboratory of Endocrinology of National Health Commission, Translation Medicine Centre, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Yuxin Sun
- Eight-Year Program of Clinical Medicine, Peking Union Medical College, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yuelun Zhang
- Medical Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Shirui Wang
- Department of Endocrinology, Key Laboratory of Endocrinology of National Health Commission, Translation Medicine Centre, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Huijuan Zhu
- Department of Endocrinology, Key Laboratory of Endocrinology of National Health Commission, Translation Medicine Centre, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Shi Chen
- Department of Endocrinology, Key Laboratory of Endocrinology of National Health Commission, Translation Medicine Centre, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
- *Correspondence: Shi Chen, ; Hui Pan,
| | - Hui Pan
- Key Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
- *Correspondence: Shi Chen, ; Hui Pan,
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