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Afifa, Arshad K, Hussain N, Ashraf MH, Saleem MZ. Air pollution and climate change as grand challenges to sustainability. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 928:172370. [PMID: 38604367 DOI: 10.1016/j.scitotenv.2024.172370] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 04/07/2024] [Accepted: 04/08/2024] [Indexed: 04/13/2024]
Abstract
There is a cross-disciplinary link between air pollution, climate crisis, and sustainable lifestyle as they are the most complex struggles of the present century. This review takes an in-depth look at this relationship, considering carbon dioxide emissions primarily from the burning of fossil fuels as the main contributor to global warming and focusing on primary SLCPs such as methane and ground-level ozone. Such pollutants severely alter the climate through the generation of greenhouse gases. The discussion is extensive and includes best practices from conventional pollution control technologies to hi-tech alternatives, including electric vehicles, the use of renewables, and green decentralized solutions. It also addresses policy matters, such as imposing stricter emissions standards, setting stronger environmental regulations, and rethinking some economic measures. Besides that, new developments such as congestion charges, air ionization, solar-assisted cleaning systems, and photocatalytic materials are among the products discussed. These strategies differ in relation to the local conditions and therefore exhibit a varying effectiveness level, but they remain evident as a tool of pollution deterrence. This stresses the importance of holistic and inclusive approach in terms of engineering, policies, stakeholders, and ecological spheres to tackle.
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Affiliation(s)
- Afifa
- Centre for Applied molecular biology (CAMB), University of the Punjab, Lahore, Pakistan
| | - Kashaf Arshad
- Department of Zoology (Wildlife and Fisheries), University of Agriculture, Faisalabad, Pakistan
| | - Nazim Hussain
- Centre for Applied molecular biology (CAMB), University of the Punjab, Lahore, Pakistan.
| | - Muhammad Hamza Ashraf
- Centre for Applied molecular biology (CAMB), University of the Punjab, Lahore, Pakistan
| | - Muhammad Zafar Saleem
- Centre for Applied molecular biology (CAMB), University of the Punjab, Lahore, Pakistan.
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Ming X, Yang Y, Li Y, He Z, Tian X, Cheng J, Zhou W. Association between risk of preterm birth and long-term and short-term exposure to ambient carbon monoxide during pregnancy in chongqing, China: a study from 2016-2020. BMC Public Health 2024; 24:1411. [PMID: 38802825 PMCID: PMC11129390 DOI: 10.1186/s12889-024-18913-z] [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: 01/02/2024] [Accepted: 05/21/2024] [Indexed: 05/29/2024] Open
Abstract
BACKGROUND Preterm birth (PTB) is an important predictor of perinatal morbidity and mortality. Previous researches have reported a correlation between air pollution and an increased risk of preterm birth. However, the specific relationship between short-term and long-term exposure to carbon monoxide (CO) and preterm birth remains less explored. METHODS A population-based study was conducted among 515,498 pregnant women in Chongqing, China, to assess short-term and long-term effects of CO on preterm and very preterm births. Generalized additive models (GAM) were applied to evaluate short-term effects, and exposure-response correlation curves were plotted after adjusting for confounding factors. Hazard ratios (HR) and 95% confidence intervals (CI) were calculated using COX proportional hazard models to estimate the long-term effect. RESULTS The daily incidence of preterm and very preterm birth was 5.99% and 0.41%, respectively. A positive association between a 100 µg/m³ increase in CO and PTB was observed at lag 0-3 days and 12-21 days, with a maximum relative risk (RR) of 1.021(95%CI: 1.001-1.043). The exposure-response curves (lag 0 day) revealed a rapid increase in PTB due to CO. Regarding long-term exposure, positive associations were found between a 100 µg/m3 CO increase for each trimester(Model 2 for trimester 1: HR = 1.054, 95%CI: 1.048-1.060; Model 2 for trimester 2: HR = 1.066, 95%CI: 1.060-1.073; Model 2 for trimester 3: HR = 1.007, 95%CI: 1.001-1.013; Model 2 for entire pregnancy: HR = 1.080, 95%CI: 1.073-1.088) and higher HRs of very preterm birth. Multiplicative interactions between air pollution and CO on the risk of preterm and very preterm birth were detected (P- interaction<0.05). CONCLUSIONS Our findings suggest that short-term exposure to low levels of CO may have protective effects against preterm birth, while long-term exposure to low concentrations of CO may reduce the risk of both preterm and very preterm birth. Moreover, our study indicated that very preterm birth is more susceptible to the influence of long-term exposure to CO during pregnancy, with acute CO exposure exhibiting a greater impact on preterm birth. It is imperative for pregnant women to minimize exposure to ambient air pollutants.
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Affiliation(s)
- Xin Ming
- Department of Quality Management Section, Women and Children's Hospital of Chongqing Medical University, Chongqing, 401147, China
- Department of Quality Management Section, Chongqing Health Center for Women and Children, Chongqing, 401147, China
- Chongqing Research Center for Prevention & Control of Maternal and Child Disease and Public Health, Chongqing, China
- Department of Epidemiology, School of Public Health, Chongqing Medical University, Chongqing, China
| | - Yunping Yang
- Department of Quality Management Section, Women and Children's Hospital of Chongqing Medical University, Chongqing, 401147, China
- Department of Quality Management Section, Chongqing Health Center for Women and Children, Chongqing, 401147, China
- Chongqing Research Center for Prevention & Control of Maternal and Child Disease and Public Health, Chongqing, China
| | - Yannan Li
- Department of Quality Management Section, Women and Children's Hospital of Chongqing Medical University, Chongqing, 401147, China
- Department of Quality Management Section, Chongqing Health Center for Women and Children, Chongqing, 401147, China
- Chongqing Research Center for Prevention & Control of Maternal and Child Disease and Public Health, Chongqing, China
| | - Ziyi He
- Department of Quality Management Section, Women and Children's Hospital of Chongqing Medical University, Chongqing, 401147, China
- Department of Quality Management Section, Chongqing Health Center for Women and Children, Chongqing, 401147, China
- Chongqing Research Center for Prevention & Control of Maternal and Child Disease and Public Health, Chongqing, China
| | - Xiaoqin Tian
- Department of Epidemiology, School of Public Health, Chongqing Medical University, Chongqing, China
| | - Jin Cheng
- Department of Public Health and Emergency Management, Chongqing Medical and Pharmaceutical College, Chongqing, China.
| | - Wenzheng Zhou
- Department of Quality Management Section, Women and Children's Hospital of Chongqing Medical University, Chongqing, 401147, China.
- Department of Quality Management Section, Chongqing Health Center for Women and Children, Chongqing, 401147, China.
- Chongqing Research Center for Prevention & Control of Maternal and Child Disease and Public Health, Chongqing, China.
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Ahn TG, Kim YJ, Lee G, You YA, Kim SM, Chae R, Hur YM, Park MH, Bae JG, Lee SJ, Kim YH, Na S. Association Between Individual Air Pollution (PM 10, PM 2.5) Exposure and Adverse Pregnancy Outcomes in Korea: A Multicenter Prospective Cohort, Air Pollution on Pregnancy Outcome (APPO) Study. J Korean Med Sci 2024; 39:e131. [PMID: 38599601 PMCID: PMC11004777 DOI: 10.3346/jkms.2024.39.e131] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/26/2023] [Accepted: 03/05/2024] [Indexed: 04/12/2024] Open
Abstract
BACKGROUND Prenatal exposure to ambient air pollution is linked to a higher risk of unfavorable pregnancy outcomes. However, the association between pregnancy complications and exposure to indoor air pollution remains unclear. The Air Pollution on Pregnancy Outcomes research is a hospital-based prospective cohort research created to look into the effects of aerodynamically exposed particulate matter (PM)10 and PM2.5 on pregnancy outcomes. METHODS This prospective multicenter observational cohort study was conducted from January 2021 to June 2023. A total of 662 women with singleton pregnancies enrolled in this study. An AirguardK® air sensor was installed inside the homes of the participants to measure the individual PM10 and PM2.5 levels in the living environment. The time-activity patterns and PM10 and PM2.5, determined as concentrations from the time-weighted average model, were applied to determine the anticipated exposure levels to air pollution of each pregnant woman. The relationship between air pollution exposure and pregnancy outcomes was assessed using logistic and linear regression analyses. RESULTS Exposure to elevated levels of PM10 throughout the first, second, and third trimesters as well as throughout pregnancy was strongly correlated with the risk of pregnancy problems according to multiple logistic regression models adjusted for variables. Except for in the third trimester of pregnancy, women exposed to high levels of PM2.5 had a high risk of pregnancy complications. During the second trimester and entire pregnancy, the risk of preterm birth (PTB) increased by 24% and 27%, respectively, for each 10 μg/m3 increase in PM10. Exposure to high PM10 levels during the second trimester increased the risk of gestational diabetes mellitus (GDM) by 30%. The risk of GDM increased by 15% for each 5 μg/m3 increase in PM2.5 during the second trimester and overall pregnancy, respectively. Exposure to high PM10 and PM2.5 during the first trimester of pregnancy increased the risk of delivering small for gestational age (SGA) infants by 96% and 26%, respectively. CONCLUSION Exposure to high concentrations of PM10 and PM2.5 is strongly correlated with the risk of adverse pregnancy outcomes. Exposure to high levels of PM10 and PM2.5 during the second trimester and entire pregnancy, respectively, significantly increased the risk of PTB and GDM. Exposure to high levels of PM10 and PM2.5 during the first trimester of pregnancy considerably increased the risk of having SGA infants. Our findings highlight the need to measure individual particulate levels during pregnancy and the importance of managing air quality in residential environment.
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Affiliation(s)
- Tae Gyu Ahn
- Department of Obstetrics and Gynecology, Kangwon National University School of Medicine, Chuncheon, Korea
| | - Young Ju Kim
- Department of Obstetrics and Gynecology, Ewha Womans University Mokdong Hospital, Ewha Medical Research Institute College of Medicine, Seoul, Korea
| | - Gain Lee
- Graduate Program in System Health Science and Engineering, Ewha Womans University, Seoul, Korea
| | - Young-Ah You
- Department of Obstetrics and Gynecology, College of Medicine, Ewha Womans University, Seoul, Korea
| | - Soo Min Kim
- Graduate Program in System Health Science and Engineering, Ewha Womans University, Seoul, Korea
| | - Rin Chae
- Division of Artificial Intelligence and Software/Artificial Intelligence Convergence, Ewha Womans University, Seoul, Korea
| | - Young Min Hur
- Department of Obstetrics and Gynecology, College of Medicine, Ewha Womans University, Seoul, Korea
| | - Mi Hye Park
- Department of Obstetrics and Gynecology, Ewha Womans University Seoul Hospital, Seoul, Korea
| | - Jin-Gon Bae
- Department of Obstetrics and Gynecology, School of Medicine, Keimyung University, Dongsan Medical Center, Daegu, Korea
| | - Soo-Jeong Lee
- Department of Obstetrics and Gynecology, University of Ulsan College of Medicine, Ulsan University Hospital, Ulsan, Korea
| | - Young-Han Kim
- Department of Obstetrics and Gynecology, Severance Hospital, Institute of Women's Life Medical Science, Yonsei University College of Medicine, Seoul, Korea.
| | - Sunghun Na
- Department of Obstetrics and Gynecology, Kangwon National University School of Medicine, Chuncheon, Korea.
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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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Hao H, Yoo SR, Strickland MJ, Darrow LA, D'Souza RR, Warren JL, Moss S, Wang H, Zhang H, Chang HH. Effects of air pollution on adverse birth outcomes and pregnancy complications in the U.S. state of Kansas (2000-2015). Sci Rep 2023; 13:21476. [PMID: 38052850 PMCID: PMC10697947 DOI: 10.1038/s41598-023-48329-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Accepted: 11/24/2023] [Indexed: 12/07/2023] Open
Abstract
Neonatal mortality and morbidity are often caused by preterm birth and lower birth weight. Gestational diabetes mellitus (GDM) and gestational hypertension (GH) are the most prevalent maternal medical complications during pregnancy. However, evidence on effects of air pollution on adverse birth outcomes and pregnancy complications is mixed. Singleton live births conceived between January 1st, 2000, and December 31st, 2015, and reached at least 27 weeks of pregnancy in Kansas were included in the study. Trimester-specific and total pregnancy exposures to nitrogen dioxide (NO2), particulate matter with an aerodynamic diameter less than 2.5 μm (PM2.5), and ozone (O3) were estimated using spatiotemporal ensemble models and assigned to maternal residential census tracts. Logistic regression, discrete-time survival, and linear models were applied to assess the associations. After adjustment for demographics and socio-economic status (SES) factors, we found increases in the second and third trimesters and total pregnancy O3 exposures were significantly linked to preterm birth. Exposure to the second and third trimesters O3 was significantly associated with lower birth weight, and exposure to NO2 during the first trimester was linked to an increased risk of GDM. O3 exposures in the first trimester were connected to an elevated risk of GH. We didn't observe consistent associations between adverse pregnancy and birth outcomes with PM2.5 exposure. Our findings indicate there is a positive link between increased O3 exposure during pregnancy and a higher risk of preterm birth, GH, and decreased birth weight. Our work supports limiting population exposure to air pollution, which may lower the likelihood of adverse birth and pregnancy outcomes.
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Affiliation(s)
- Hua Hao
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, 1518 Clifton Rd., NE, Atlanta, GA, 30322, USA.
| | - Sodahm R Yoo
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA, 30322, USA
| | - Matthew J Strickland
- Depatment of Health Analytics and Biostatistics, Epidemiology and Environmental Health, School of Public Health, University of Nevada, Reno, NV, 89557, USA
| | - Lyndsey A Darrow
- Depatment of Health Analytics and Biostatistics, Epidemiology and Environmental Health, School of Public Health, University of Nevada, Reno, NV, 89557, USA
| | - Rohan R D'Souza
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA, 30322, USA
| | - Joshua L Warren
- Department of Biostatistics, School of Medicine, Yale University, New Haven, CT, 06510, USA
| | - Shannon Moss
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA, 30322, USA
| | - Huaqing Wang
- Department of Landscape Architecture and Environment Planning, College of Agriculture and Applied Sciences, Utah State University, Logan, UT, 84322, USA
| | - Haisu Zhang
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, 1518 Clifton Rd., NE, Atlanta, GA, 30322, USA
| | - Howard H Chang
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, 1518 Clifton Rd., NE, Atlanta, GA, 30322, USA
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA, 30322, USA
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Jones SI, Pruszynski JE, Spong CY, Nelson DB. Traffic-related air pollution is associated with spontaneous extremely preterm birth and other adverse perinatal outcomes. Am J Obstet Gynecol 2023; 229:455.e1-455.e7. [PMID: 37516397 DOI: 10.1016/j.ajog.2023.07.040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Revised: 07/19/2023] [Accepted: 07/23/2023] [Indexed: 07/31/2023]
Abstract
BACKGROUND Although there is growing awareness of the relationship between air pollution and preterm birth, limited data exist regarding the relationship with spontaneous preterm birth and severe neonatal outcomes. OBJECTIVE This study aimed to examine the association between traffic-associated air pollution exposure in pregnancy and adverse perinatal outcomes including extremes of preterm birth, neonatal intensive care unit admissions, low birthweight, neonatal respiratory diagnosis, neonatal respiratory support, and neonatal sepsis evaluation. STUDY DESIGN This was a retrospective cohort study of singleton pregnancies of patients residing in a metropolitan area in the southern United States. Using monitors strategically located across the region, average nitrogen dioxide concentrations were obtained from the Environmental Protection Agency Air Quality System database. For patients living within 10 miles of a monitoring station, average exposure to nitrogen dioxide was estimated for individual patients' pregnancy by trimester. Logistic regression models were used to assess the effect of pollutant exposure on gestational age at birth, indicated vs spontaneous delivery, and neonatal outcomes while adjusting for maternal age, self-reported race, parity, season of conception, diabetes mellitus, body mass index, registered Health Equity Index, and nitrogen dioxide monitor region. Adjusted odds ratios and 95% confidence intervals were calculated for an interquartile increase in average nitrogen dioxide exposure. RESULTS Between January 1, 2013 and December 31, 2021, 93,164 patients delivered a singleton infant. Of these, 62,189 had measured nitrogen dioxide exposure during the pregnancy from a nearby monitoring station. Higher average nitrogen dioxide exposure throughout pregnancy was significantly associated with preterm birth (adjusted odds ratio, 1.94; 95% confidence interval, 1.77-2.12) and an increase in neonatal intensive care unit admissions, low birthweight infants, neonatal respiratory diagnosis, neonatal respiratory support, and neonatal sepsis evaluation. This relationship persisted for nulliparous patients and spontaneous preterm birth, and had a greater association with earlier preterm birth. CONCLUSION In a metropolitan area, increased exposure to the air pollutant nitrogen dioxide in pregnancy was associated with spontaneous preterm birth and had a greater association with extremely preterm birth. A greater association with neonatal intensive care unit admissions, low-birthweight infants, neonatal respiratory diagnosis, neonatal respiratory support, and neonatal sepsis evaluation was found even in term infants.
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Affiliation(s)
- Sara I Jones
- Department of Obstetrics and Gynecology, University of Texas Southwestern Medical Center, Dallas, TX.
| | - Jessica E Pruszynski
- Department of Obstetrics and Gynecology, University of Texas Southwestern Medical Center, Dallas, TX
| | - Catherine Y Spong
- Department of Obstetrics and Gynecology, University of Texas Southwestern Medical Center, Dallas, TX
| | - David B Nelson
- Department of Obstetrics and Gynecology, University of Texas Southwestern Medical Center, Dallas, TX
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Ebelt ST, D'Souza RR, Yu H, Scovronick N, Moss S, Chang HH. Monitoring vs. modeled exposure data in time-series studies of ambient air pollution and acute health outcomes. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2023; 33:377-385. [PMID: 35595966 PMCID: PMC9675877 DOI: 10.1038/s41370-022-00446-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Revised: 04/27/2022] [Accepted: 04/27/2022] [Indexed: 06/03/2023]
Abstract
BACKGROUND Population-based short-term air pollution health studies often have limited spatiotemporally representative exposure data, leading to concerns of exposure measurement error. OBJECTIVE To compare the use of monitoring and modeled exposure metrics in time-series analyses of air pollution and cardiorespiratory emergency department (ED) visits. METHODS We obtained daily counts of ED visits for Atlanta, GA during 2009-2013. We leveraged daily ZIP code level concentration estimates for eight pollutants from nine exposure metrics. Metrics included central monitor (CM), monitor-based (inverse distance weighting, kriging), model-based [community multiscale air quality (CMAQ), land use regression (LUR)], and satellite-based measures. We used Poisson models to estimate air pollution health associations using the different exposure metrics. The approach involved: (1) assessing CM-based associations, (2) determining if non-CM metrics can reproduce CM-based associations, and (3) identifying potential value added of incorporating full spatiotemporal information provided by non-CM metrics. RESULTS Using CM exposures, we observed associations between cardiovascular ED visits and carbon monoxide, nitrogen dioxide, fine particulate matter, elemental and organic carbon, and between respiratory ED visits and ozone. Non-CM metrics were largely able to reproduce CM-based associations, although some unexpected results using CMAQ- and LUR-based metrics reduced confidence in these data for some spatiotemporally-variable pollutants. Associations with nitrogen dioxide and sulfur dioxide were only detected, or were stronger, when using metrics that incorporate all available monitoring data (i.e., inverse distance weighting and kriging). SIGNIFICANCE The use of routinely-collected ambient monitoring data for exposure assignment in time-series studies of large metropolitan areas is a sound approach, particularly when data from multiple monitors are available. More sophisticated approaches derived from CMAQ, LUR, or satellites may add value when monitoring data are inadequate and if paired with thorough data characterization. These results are useful for interpretation of existing literature and for improving exposure assessment in future studies. IMPACT STATEMENT This study compared and interpreted the use of monitoring and modeled exposure metrics in a daily time-series analysis of air pollution and cardiorespiratory emergency department visits. The results suggest that the use of routinely-collected ambient monitoring data in population-based short-term air pollution and health studies is a sound approach for exposure assignment in large metropolitan regions. CMAQ-, LUR-, and satellite-based metrics may allow for health effects estimation when monitoring data are sparse, if paired with thorough data characterization. These results are useful for interpretation of existing health effects literature and for improving exposure assessment in future air pollution epidemiology studies.
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Affiliation(s)
- Stefanie T Ebelt
- Gangarosa Department of Environmental Health, Emory University, Atlanta, GA, USA.
| | - Rohan R D'Souza
- Department of Biostatistics and Bioinformatics, Emory University, Atlanta, GA, USA
| | - Haofei Yu
- Department of Civil, Environmental, and Construction Engineering, University of Central Florida, Orlando, FL, USA
| | - Noah Scovronick
- Gangarosa Department of Environmental Health, Emory University, Atlanta, GA, USA
| | - Shannon Moss
- Department of Biostatistics and Bioinformatics, Emory University, Atlanta, GA, USA
| | - Howard H Chang
- Department of Biostatistics and Bioinformatics, Emory University, Atlanta, GA, USA
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Ju L, Hua L, Xu H, Li C, Sun S, Zhang Q, Cao J, Ding R. Maternal atmospheric particulate matter exposure and risk of adverse pregnancy outcomes: A meta-analysis of cohort studies. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 317:120704. [PMID: 36436666 DOI: 10.1016/j.envpol.2022.120704] [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: 05/04/2022] [Revised: 11/04/2022] [Accepted: 11/17/2022] [Indexed: 06/16/2023]
Abstract
Ambient air particulate exposure not only capable of elevating the risks of adverse pregnancy outcomes, but also has profound implications for human health, but the results are discrepant. This meta-analysis aimed to provide higher grade evidence on the impacts of air particulate on specific pregnancy outcomes. A total of 81 eligible cohort studies were included in this meta-analysis, of which the outcomes included preterm birth (PTB), moderate PTB, very PTB, extreme PTB, term low birth weight (TLBW), term birth weight (TBW), stillbirth (SB) and small for gestational age (SGA). The results showed that every 10 μg/m3 increase of PM2.5 exposure associated with 2.7%-9.3% increase of PTB risk in entire pregnancy, 2nd and 3rd trimesters; 10.5%-19.3% increase of very PTB risk in entire pregnancy, 1st and 2nd trimesters; 8.3% and 10.1% increase of TLBW and SGA risk in entire pregnancy; 25.6% and 10.1% increase of SB in entire pregnancy and 3rd trimester; and -13.274 g and -4.916 g reduce of TBW during entire pregnancy and 2nd trimester, respectively. Every 10 μg/m3 increase of PM10 exposure associated with 12.1% and 2.6% increase of PTB risk in entire pregnancy and 3rd trimester; 48.9% and 5.0% increase of moderate PTB risk in entire pregnancy and 2nd trimester; 14.4% and 10.3% increase of very PTB risk in 1st and 3rd trimesters; 2.9% increase of extremely PTB risk in 2nd trimester; 1.5%-3.8% and 2.9%-3.7% increase of TLBW and SGA risk in entire pregnancy, 1st and 2nd trimesters; 7.0% increase of SB risk in 3rd trimesters; and -4.537 g and -5.263 g reduce of TBW in 1st and 2nd trimesters, respectively. High mean annual PM concentrations were associated with more extreme adverse pregnancy outcomes (PTBs, SGA and SB), while low mean annual PM concentrations were associated with decreased TBW and increased risk of TLBW.
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Affiliation(s)
- Liangliang Ju
- Department of Occupational Health and Environmental Health, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China.
| | - Lei Hua
- Department of Occupational Health and Environmental Health, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China.
| | - Hanbing Xu
- Department of Occupational Health and Environmental Health, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China.
| | - Changlian Li
- Department of Occupational Health and Environmental Health, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China.
| | - Shu Sun
- Department of Occupational Health and Environmental Health, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China.
| | - Qi Zhang
- Department of Occupational Health and Environmental Health, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China.
| | - Jiyu Cao
- Department of Occupational Health and Environmental Health, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China; Department of Teaching Center for Preventive Medicine, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China.
| | - Rui Ding
- Department of Occupational Health and Environmental Health, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China.
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Du P, Du H, Lu K, He MZ, Feng D, He M, Liu T, Hu J, Li T. Traffic-related PM 2.5 and its specific constituents on circulatory mortality: A nationwide modelling study in China. ENVIRONMENT INTERNATIONAL 2022; 170:107652. [PMID: 36446182 DOI: 10.1016/j.envint.2022.107652] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Revised: 11/18/2022] [Accepted: 11/20/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND Short-term fine particulate matter (PM2.5) exposure and increased circulatory mortality have been well documented. However, there are inconsistent findings on mortality effects of traffic-related pollutants from the perspective of sources or constituents. Few studies have examined such associations using source and constituents simultaneously, and even less are based on large-scale, nationally representative data. We aimed to conduct a comprehensive analysis to investigate source- and constituent-specific mortality effects due to traffic-related PM2.5 pollution in China. METHODS We extracted daily mortality data in 280 counties from the China Disease Surveillance Points system (DSPs) from January 2013 to December 2018. Daily concentrations of traffic-related PM2.5 and specific constituents were simulated using the Community Multiscale Air Quality (CMAQ) model. The downscaling and adjustment methods were carried out to generate a refined exposure assessment. We estimated the circulatory mortality risk using a standard two-stage approach, combining generalized linear model (GLM) with a quasi-Poisson distribution and random-effects meta-analysis. RESULTS We observed that traffic-related PM2.5 and specific constituents were significantly associated with increased circulatory mortality. An increase of interquartile range of traffic-related PM2.5, elemental carbon (EC), organic carbon (OC), and nitrate (NO3-) were associated with elevated circulatory mortality risks of 1.80 % (95 % confidence interval, CI: 1.27, 2.33), 1.85 % (1.33, 2.37), 1.42 % (0.90, 1.94), and 1.10 % (0.55, 1.66) at 3-day moving average (lag 0-2 days), respectively. We also found relatively high associations between traffic-related PM2.5 and EC exposures and cardiovascular mortality, and OC exposure and cerebrovascular mortality. Moreover, our stratified analysis demonstrated such mortality risks tended to be stronger in males, individuals age 65 years or older, and during the cold season. CONCLUSION Our findings provided robust evidence on significant associations of traffic-related PM2.5 and specific constituents with circulatory mortality. Further emissions abatement from the transportation sector and corresponding pollutants should merit a particular focus in China.
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Affiliation(s)
- Peng Du
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Hang Du
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Kailai Lu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Mike Z He
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, NY 10029, USA
| | - Da Feng
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Miao He
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Ting Liu
- Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science & Technology, Nanjing 210044, China
| | - Jianlin Hu
- Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science & Technology, Nanjing 210044, China
| | - Tiantian Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China; School of Public Health, Nanjing Medical University, Nanjing 211166, China.
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10
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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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11
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Kim JH, Woo HD, Choi S, Song DS, Lee JH, Lee K. Long-Term Effects of Ambient Particulate and Gaseous Pollutants on Serum High-Sensitivity C-Reactive Protein Levels: A Cross-Sectional Study Using KoGES-HEXA Data. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph191811585. [PMID: 36141854 PMCID: PMC9517608 DOI: 10.3390/ijerph191811585] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Revised: 09/06/2022] [Accepted: 09/07/2022] [Indexed: 05/23/2023]
Abstract
Ambient air pollutants reportedly increase inflammatory responses associated with multiple chronic diseases. We investigated the effects of long-term exposure to ambient air pollution on high-sensitivity C-reactive protein (hs-CRP) using data from 60,581 participants enrolled in the Korean Genome and Epidemiology Study-Health Examinees Study between 2012 and 2017. Community Multiscale Air Quality System with surface data assimilation was used to estimate the participants' exposure to criteria air pollutants based on geocoded residential addresses. Long-term exposure was defined as the 2-year moving average concentrations of PM10, PM2.5, SO2, NO2, and O3. Multivariable linear and logistic regression models were utilized to estimate the percent changes in hs-CRP and odds ratios of systemic low-grade inflammation (hs-CRP > 3 mg/L) per interquartile range increment in air pollutants. We identified positive associations between hs-CRP and PM10 (% changes: 3.75 [95% CI 2.68, 4.82]), PM2.5 (3.68, [2.57, 4.81]), SO2 (1.79, [1.10, 2.48]), and NO2 (3.31, [2.12, 4.52]), while negative association was demonstrated for O3 (-3.81, [-4.96, -2.65]). Elevated risks of low-grade inflammation were associated with PM10 (odds ratio: 1.07 [95% CI 1.01, 1.13]), PM2.5 (1.08 [1.02, 1.14]), and SO2 (1.05 [1.01, 1.08]). The odds ratios reported indicated that the exposures might be risk factors for inflammatory conditions; however, they did not reflect strong associations. Our findings suggest that exposure to air pollutants may play a role in the inflammation process.
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12
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Yu Z, Zhang X, Zhang J, Feng Y, Zhang H, Wan Z, Xiao C, Zhang H, Wang Q, Huang C. Gestational exposure to ambient particulate matter and preterm birth: An updated systematic review and meta-analysis. ENVIRONMENTAL RESEARCH 2022; 212:113381. [PMID: 35523275 DOI: 10.1016/j.envres.2022.113381] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Revised: 04/17/2022] [Accepted: 04/26/2022] [Indexed: 06/14/2023]
Abstract
Previous studies on gestational particulate matter (PM) exposure and preterm birth (PTB) showed inconsistent results, and no study systematically examined the short-term effect of PM exposure on PTB subtypes. To investigate both long- and short-term effects of the evidence to date in general population, we searched for epidemiological studies on PM exposure and PTB that published in PubMed, Web of Science, Embase and Cochrane Library up to March 31, 2022. The protocol for this review was registered with PROSPERO (CRD42021265202). Heterogeneity was assessed by Cochran's Q test and I2 statistic. Publication bias was evaluated using funnel plots and Egger's tests. Subgroup analysis, meta-regression and sensitivity analysis were performed. Of 16,801 records, 84 eligible studies were finally included. The meta-analysis of long-term effect showed that per 10 μg/m3 increase in PM2.5 and PM10 during entire pregnancy were associated with PTB, the pooled odds ratios (ORs) were 1.084 (95% CI: 1.055-1.113) and 1.034 (95% CI: 1.018-1.049). Positive associations were found between PM2.5 in second trimester and PTB subtypes. For the short-term exposure, we observed that PTB was positively associated with a 10 μg/m3 increment in PM2.5 on lag day 2 and 3, the pooled ORs and 95% CIs were 1.003 (1.001-1.004) and 1.003 (1.001-1.005), with I2 of 65.30% and 76.60%. PM10 exposure on ave day 1 increased the risk of PTB, the pooled OR was 1.001 (95% CI: 1.000, 1.001). We also found that PM10 exposure in 2 weeks prior to birth increased PTB risk. Our results support the hypothesis of both long- and short-term PM2.5 exposure increase the risk of PTB. Further well-designed longitudinal studies and investigations into potential biological mechanisms are warranted.
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Affiliation(s)
- Zengli Yu
- School of Public Health, Zhengzhou University, Zhengzhou, China
| | - Xiaoan Zhang
- The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Junxi Zhang
- National Health Commission Key Laboratory of Birth Defects Prevention; Key Laboratory of Population Defects Prevention, Zhengzhou, China
| | - Yang Feng
- School of Public Health, Zhengzhou University, Zhengzhou, China
| | - Han Zhang
- School of Public Health, Zhengzhou University, Zhengzhou, China
| | - Zhongxiao Wan
- School of Public Health, Zhengzhou University, Zhengzhou, China
| | - Chenglong Xiao
- School of Earth Sciences, Chengdu University of Technology, Chengdu, China
| | - Huanhuan Zhang
- 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.
| | - Qiong Wang
- School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Cunrui Huang
- Vanke School of Public Health, Tsinghua University, Beijing, China
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13
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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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14
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Liu X, Behrman J, Hannum E, Wang F, Zhao Q. Same environment, stratified impacts? Air pollution, extreme temperatures, and birth weight in South China. SOCIAL SCIENCE RESEARCH 2022; 105:102691. [PMID: 35659044 DOI: 10.1016/j.ssresearch.2021.102691] [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: 05/03/2021] [Revised: 10/24/2021] [Accepted: 12/18/2021] [Indexed: 06/15/2023]
Abstract
This paper investigates whether associations between birth weights and prenatal ambient environmental conditions-pollution and extreme temperatures-differ by 1) maternal education; 2) children's innate health; and 3) interactions between these two. We link birth records from Guangzhou, China, during a period of high pollution, to ambient air pollution (PM10 and a composite measure) and extreme temperature data. We first use mean regressions to test whether, overall, maternal education is an "effect modifier" in the relationships between ambient air pollution, extreme temperature, and birth weight. We then use conditional quantile regressions to test for effect heterogeneity according to the unobserved innate vulnerability of babies after conditioning on other confounders. Results show that 1) the negative association between ambient exposures and birth weight is twice as large at lower conditional quantiles of birth weights as at the median; 2) the protection associated with college-educated mothers with respect to pollution and extreme heat is heterogeneous and potentially substantial: between 0.02 and 0.34 standard deviations of birth weights, depending on the conditional quantiles; 3) this protection is amplified under more extreme ambient conditions and for infants with greater unobserved innate vulnerabilities.
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Affiliation(s)
- Xiaoying Liu
- Population Studies Center, University of Pennsylvania, 3718 Locust Walk, Philadelphia, PA, USA
| | - Jere Behrman
- Department of Economics and Sociology and Population Studies Center, University of Pennsylvania, 133 South 36th Street, Philadelphia, PA, USA
| | - Emily Hannum
- Department of Sociology and Population Studies Center, University of Pennsylvania, 3718 Locust Walk, Philadelphia, PA, USA.
| | - Fan Wang
- Department of Economics, University of Houston, 3623 Cullen Boulevard, Houston, TX, USA
| | - Qingguo Zhao
- Epidemiological Research Office of Key Laboratory of Male Reproduction and Genetics National Health and Family Planning Commission, Family Planning Research Institute of Guangdong Province, Guangzhou, Guangdong, China.
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15
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Berkowitz RL, Mujahid M, Pearl M, Poon V, Reid CK, Allen AM. Protective Places: the Relationship between Neighborhood Quality and Preterm Births to Black Women in Oakland, California (2007-2011). J Urban Health 2022; 99:492-505. [PMID: 35384585 PMCID: PMC9187821 DOI: 10.1007/s11524-022-00624-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/25/2022] [Indexed: 11/30/2022]
Abstract
Black women have the highest incidence of preterm birth (PTB). Upstream factors, including neighborhood context, may be key drivers of this increased risk. This study assessed the relationship between neighborhood quality, defined by the Healthy Places Index, and PTB among Black women who lived in Oakland, California, and gave birth between 2007 and 2011 (N = 5418 women, N = 107 census tracts). We found that, compared with those living in lower quality neighborhoods, women living in higher quality neighborhoods had 20-38% lower risk of PTB, independent of confounders. Findings have implications for place-based research and interventions to address racial inequities in PTB.
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Affiliation(s)
- Rachel L. Berkowitz
- Department of Public Health and Recreation, College of Health and Human Sciences, San José State University, One Washington Square, San Jose, CA 95192-0052 USA
| | - Mahasin Mujahid
- School of Public Health, University of California, Berkeley, 2121 Berkeley Way, Room 5302, CA 94720-7360 Berkeley, USA
| | - Michelle Pearl
- Environmental Health Investigations Branch, California Department of Public Health, 850 Marina Bay Parkway, Building P, 3rd Floor, Richmond, CA 94804-6403 USA
| | - Victor Poon
- Environmental Health Investigations Branch, California Department of Public Health, 850 Marina Bay Parkway, Building P, 3rd Floor, Richmond, CA 94804-6403 USA
| | - Carolina K. Reid
- College of Environmental Design, University of California, 230 Bauer Wurster Hall #1820, Berkeley, CA 94720-1820 USA
| | - Amani M. Allen
- School of Public Health, University of California, Berkeley, 2121 Berkeley Way, Room 5302, CA 94720-7360 Berkeley, USA
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16
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Dharmalingam S, Senthilkumar N, D'Souza RR, Hu Y, Chang HH, Ebelt S, Yu H, Kim CS, Rohr A. Developing air pollution concentration fields for health studies using multiple methods: Cross-comparison and evaluation. ENVIRONMENTAL RESEARCH 2022; 207:112207. [PMID: 34653409 DOI: 10.1016/j.envres.2021.112207] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/06/2021] [Revised: 09/14/2021] [Accepted: 10/09/2021] [Indexed: 06/13/2023]
Abstract
Past air pollution epidemiological studies have used a wide range of methods to develop concentration fields for health analyses. The fields developed differ considerably among these methods. The reasons for these differences and comparisons of their strengths, as well as the limitations for estimating exposures, remains under-investigated. Here, we applied nine methods to develop fields of eight pollutants (carbon monoxide (CO), nitrogen dioxide (NO2), sulfur dioxide (SO2), ozone (O3), fine particulate matter (PM2.5), and three speciated PM2.5 constituents including elemental carbon (EC), organic carbon (OC), and sulfate (SO4)) for the metropolitan Atlanta region for five years. The nine methods are Central Monitor (CM), Site Average (SA), Inverse Distance Weighting (IDW), Kriging (KRIG), Land Use Regression (LUR), satellite Aerosol Optical Depth (AOD), CMAQ model, CMAQ with kriging adjustment (CMAQ-KRIG), and CMAQ based data fusion (CMAQ-DF). Additionally, we applied an increasingly popular method, Random Forest (RF), and compared its results for NO2 and PM2.5 with other methods. For statistical evaluation, we focused our discussion on the temporal coefficient of determination, although other metrics are also calculated. Raw output from the CMAQ model contains modeling biases and errors, which are partially mitigated by fusing observational data in the CMAQ-KRIG and CMAQ-DF methods. Based on analyses that simulated model responses to more limited input data, the RF model is more robust and outperforms LUR for PM2.5. These results suggest RF may have potential in air pollution health studies, especially when limited measurement data are available. The RF method has several important weaknesses, including a relatively poor performance for NO2, diagnostic challenges, and computational intensiveness. The results of this study will help to improve our understanding of the strengths and weaknesses of different methods for estimating air pollutant exposures in epidemiological studies.
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Affiliation(s)
- Selvaraj Dharmalingam
- Department of Civil, Environmental and Construction Engineering, University of Central Florida, Orlando, FL, USA
| | - Nirupama Senthilkumar
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA, USA
| | - Rohan Richard D'Souza
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Yongtao Hu
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA, USA
| | - Howard H Chang
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Stefanie Ebelt
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Haofei Yu
- Department of Civil, Environmental and Construction Engineering, University of Central Florida, Orlando, FL, USA.
| | - Chloe S Kim
- Electric Power Research Institute, Palo Alto, CA, USA
| | - Annette Rohr
- Electric Power Research Institute, Palo Alto, CA, USA
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17
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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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Liang Z, Zhao L, Qiu J, Zhu X, Jiang M, Liu G, Zhao Q. PM 2.5 exposure increases the risk of preterm birth in pre-pregnancy impaired fasting glucose women: A cohort study in a Southern province of China. ENVIRONMENTAL RESEARCH 2022; 204:112403. [PMID: 34800533 DOI: 10.1016/j.envres.2021.112403] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/18/2021] [Revised: 11/14/2021] [Accepted: 11/15/2021] [Indexed: 06/13/2023]
Abstract
Previous studies have indicated maternal exposure to particles with aerodynamic diameter <2.5 μm (PM2.5) is associated with preterm birth (PTB). However, no study has investigated this effect in pre-pregnancy impaired fasting glucose (IFG) women. This study aimed to differentiate the effects of maternal PM2.5 exposure on PTB between pre-pregnancy IFG and normoglycemia women, and to further identify the susceptible window. This cohort study was conducted between January 2014 and December 2017 in 21 Chinese cities. All the recruited women received pre-pregnancy fasting serum glucose (FSG) tests and were followed up for their delivery outcomes. The PM2.5 exposures were estimated by the daily air pollution concentrations of the nearby monitors. Women with FSG below 7.0 mmol/L were included in the analysis. We employed the Cox proportional hazards models to examine whether PM2.5 exposure was associated with PTB. 237957 women were included and 7055 (3.0%) of them were pre-pregnancy IFG. During the entire pregnancy, we found 24.1% (HR = 1.241; 95% CI: 1.069, 1.439), 61.8% (HR = 1.618; 95% CI: 1.311, 1.997) and 18.6% (HR = 1.186; 95% CI: 1.004, 1.402) of increases in risk for all PTB, early PTB (20-33 gestational weeks) and late PTB (34-36 gestational weeks) among the pre-pregnancy IFG women, and 15.9% (HR = 1.159; 95% CI: 1.127, 1.192), 33.9% (HR = 1.339; 95% CI: 1.255, 1.430) and 13.2% (HR = 1.132; 95% CI: 1.098, 1.168) of increases in risk for all PTB, early PTB and late PTB among the normoglycemia women, with each 10 μg/m3 increment of PM2.5 exposure, respectively. Furthermore, PM2.5 exposure had the strongest effect on all PTB during trimester 1 (0-12 gestational weeks) among the pre-pregnancy IFG women, compared with the less strong effect during trimester 1 among the normoglycemia women. In conclusion, pre-pregnancy IFG increases the risk of PTB attributed to PM2.5, especially during trimester 1. Moreover, the effects of PM2.5 are greater on early PTB than late PTB for both pre-pregnancy IFG and normoglycemia women.
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Affiliation(s)
- Zhijiang Liang
- Department of Public Health, Guangdong Women and Children Hospital, 521 Xingnan Road, Panyu District, Guangzhou, 511442, China
| | - Lina Zhao
- Department of Obstetrics, Guangdong Women and Children Hospital, 521 Xingnan Road, Panyu District, Guangzhou, 511442, China
| | - Jialing Qiu
- Department of Public Health, Guangdong Women and Children Hospital, 521 Xingnan Road, Panyu District, Guangzhou, 511442, China
| | - Xinhong Zhu
- Department of Public Health, Guangdong Women and Children Hospital, 521 Xingnan Road, Panyu District, Guangzhou, 511442, China
| | - Min Jiang
- Guangdong Institute of Family Planning Science and Technology, 17th Meidong Road, Yuexiu District, Guangzhou, 510245, China; Guangdong Province Fertility Hospital, 17th Meidong Road, Yuexiu District, Guangzhou, 510245, China; National Health Committee of China (NHCC) Key Laboratory of Male Reproduction and Genetics, 17th Meidong Road, Yuexiu District, Guangzhou, 510245, China
| | - Guocheng Liu
- Department of Obstetrics, Guangdong Women and Children Hospital, 521 Xingnan Road, Panyu District, Guangzhou, 511442, China.
| | - Qingguo Zhao
- Guangdong Institute of Family Planning Science and Technology, 17th Meidong Road, Yuexiu District, Guangzhou, 510245, China; Guangdong Province Fertility Hospital, 17th Meidong Road, Yuexiu District, Guangzhou, 510245, China; National Health Committee of China (NHCC) Key Laboratory of Male Reproduction and Genetics, 17th Meidong Road, Yuexiu District, Guangzhou, 510245, China.
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19
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A Simple Method to Establish Sufficiency and Stability in Meta-Analyses: With Application to Fine Particulate Matter Air Pollution and Preterm Birth. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19042036. [PMID: 35206221 PMCID: PMC8871712 DOI: 10.3390/ijerph19042036] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/26/2021] [Revised: 02/04/2022] [Accepted: 02/09/2022] [Indexed: 12/02/2022]
Abstract
Fine particulate matter air pollution (PM2.5) is a potential cause of preterm birth. Inconsistent findings from observational studies have motivated researchers to conduct more studies, but some degree of study heterogeneity is inevitable. The consequence of this feedback is a burgeoning research effort that results in marginal gains. The aim of this study was to develop and apply a method to establish the sufficiency and stability of estimates of associations as they have been published over time. Cohort studies identified in a recent systematic review and meta-analysis on the association between preterm birth and whole-pregnancy exposure to PM2.5 were selected. The estimates of the cohort studies were pooled with cumulative meta-analysis, whereby a new meta-analysis was run for each new study published over time. The relative risks (RR) and 95% confidence interval (CI) limits needed for a new study to move the cumulative RR to 1.00 were calculated. Findings indicate that the cumulative relative risks (cRR) for PM2.5 (cRR 1.07, 95% CI 1.03, 1.12) converged in 2015 (RR 1.07, 95% CI 1.01, 1.14). To change conclusions to a null association, a new study would need to observe a protective RR of 0.93 (95% CI limit 1.02) with precision equivalent to that achieved by all past 24 cohort studies combined. Preterm birth is associated with elevated PM2.5, and it is highly unlikely that any new observational study will alter this conclusion. Consequently, establishing whether an observational association exists is now less relevant an objective for future studies than characterising risk (magnitude, impact, pathways, populations and potential bias) and interventions. Sufficiency and stability can be effectively applied in meta-analyses and have the potential to reduce research waste.
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20
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Oka M. Interpreting a standardized and normalized measure of neighborhood socioeconomic status for a better understanding of health differences. Arch Public Health 2021; 79:226. [PMID: 34911564 PMCID: PMC8672510 DOI: 10.1186/s13690-021-00750-w] [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: 08/20/2021] [Accepted: 11/27/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Standardization and normalization of continuous covariates are used to ease the interpretation of regression coefficients. Although these scaling techniques serve different purposes, they are sometimes used interchangeably or confused for one another. Therefore, the objective of this study is to demonstrate how these scaling techniques lead to different interpretations of the regression coefficient in multilevel logistic regression analyses. METHODS Area-based socioeconomic data at the census tract level were obtained from the 2015-2019 American Community Survey for creating two measures of neighborhood socioeconomic status (SES), and a hypothetical data on health condition (favorable versus unfavorable) was constructed to represent 3000 individuals living across 300 census tracts (i.e., neighborhoods). Two measures of neighborhood SES were standardized by subtracting its mean and dividing by its standard deviation (SD) or by dividing by its interquartile range (IQR), and were normalized into a range between 0 and 1. Then, four separate multilevel logistic regression analyses were conducted to assess the association between neighborhood SES and health condition. RESULTS Based on standardized measures, the odds of having unfavorable health condition was roughly 1.34 times higher for a one-SD change or a one-IQR change in neighborhood SES; these reflect a health difference of individuals living in relatively high SES (relatively affluent) neighborhoods and those living in relatively low SES (relatively deprived) neighborhoods. On the other hand, when these standardized measures were replaced by its respective normalized measures, the odds of having unfavorable health condition was roughly 3.48 times higher for a full unit change in neighborhood SES; these reflect a health difference of individuals living in highest SES (most affluent) neighborhoods and those living in lowest SES (most deprived) neighborhoods. CONCLUSION Multilevel logistic regression analyses using standardized and normalized measures of neighborhood SES lead to different interpretations of the effect of neighborhood SES on health. Since both measures are valuable in their own right, interpreting a standardized and normalized measure of neighborhood SES will allow us to gain a more rounded view of the health differences of individuals along the gradient of neighborhood SES in a certain geographic location as well as across different geographic locations.
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Affiliation(s)
- Masayoshi Oka
- Department of Management, Faculty of Management, Josai University, 1-1 Keyakidai, Sakado City, Saitama Prefecture, 350-0295, Japan.
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21
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Ju L, Li C, Yang M, Sun S, Zhang Q, Cao J, Ding R. Maternal air pollution exposure increases the risk of preterm birth: Evidence from the meta-analysis of cohort studies. ENVIRONMENTAL RESEARCH 2021; 202:111654. [PMID: 34252430 DOI: 10.1016/j.envres.2021.111654] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Revised: 06/19/2021] [Accepted: 07/03/2021] [Indexed: 06/13/2023]
Abstract
Preterm birth (PTB), a major public health impact, has been shown to be associated with prenatal air pollution exposure, but the results are still inconsistent. This meta-analysis was performed to quantitatively evaluate the correlation between maternal air pollutant exposure and PTB, and provide evidence of higher grade to help improving the pregnancy outcomes. Databases including Web of Science and PubMed were searched to retrieve eligible studies published up to October 2020. The quality of the articles was assessed by the Newcastle-Ottawa Quality Score (NOS), after which the pooled estimate of the effect was calculated. The robustness of the joint estimates was confirmed by sensitivity analysis of excluded studies one by one, and the sources of heterogeneity were discussed by stratification analysis. Egger's and Begg's tests were performed to examine publication bias. Sixty studies that met the eligible criteria were finally included in this study. The findings showed combined relative risks of 1.032-1.070 for PTB, 0.859-1.081 for moderate PTB, 1.119-1.194 for very PTB and 1.128-1.259 for extremely PTB when mothers were exposed to PM2.5, PM10, NO2, O3, SO2, CO and NOx during pregnancy, while the sensitive windows varied for different air pollutants. Notably, PM2.5 exposure in only the 2nd trimester, NO2 exposure in only the 3rd trimester, and O3 exposure in all three trimesters were positively associated with PTB, while NO2 exposure in the 1st trimester was negatively associated with PTB. In addition, exposure of PM2.5 and PM10 in the 2nd trimester was positively associated with moderate PTB, and in the 1st and 2nd trimesters were positively associated with very PTB. These findings demonstrated that PM2.5, PM10, O3, NO2 were associated with PTB (including moderate PTB, very PTB, and/or extremely PTB), while NOx was not, and the relationship between CO and SO2 and PTB was not stable.
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Affiliation(s)
- Liangliang Ju
- Department of Occupational Health and Environmental Health, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China.
| | - Changlian Li
- Department of Occupational Health and Environmental Health, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China.
| | - Mei Yang
- Department of Occupational Health and Environmental Health, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China.
| | - Shu Sun
- Department of Occupational Health and Environmental Health, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China.
| | - Qi Zhang
- Department of Occupational Health and Environmental Health, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China.
| | - Jiyu Cao
- Department of Occupational Health and Environmental Health, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China; Department of Teaching Center for Preventive Medicine, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China.
| | - Rui Ding
- Department of Occupational Health and Environmental Health, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China.
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22
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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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23
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Reducing Prenatal Exposure to Toxic Environmental Agents: ACOG Committee Opinion, Number 832. Obstet Gynecol 2021; 138:e40-e54. [PMID: 34259492 DOI: 10.1097/aog.0000000000004449] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
ABSTRACT There is emerging evidence that links exposure to toxic environmental agents and adverse reproductive and developmental health outcomes. Toxic exposures related to reproductive and developmental health primarily have been associated with infertility and miscarriage, obstetric outcomes such as preterm birth and low birth weight, neurodevelopmental delay such as autism and attention deficit hyperactivity disorder, and adult and childhood cancer. Although there is substantial overlap in the type of exposure and the associated health outcomes, for the purposes of this document, exposures generally can be grouped into the following categories: toxic chemicals, air pollution, and climate change-related exposures. Obstetric care clinicians do not need to be experts in environmental health science to provide useful information to patients and refer patients to appropriate specialists, if needed, when a hazardous exposure is identified. It is important for obstetrician-gynecologists and other obstetric care clinicians to become knowledgeable about toxic environmental exposures that are endemic to their specific geographic areas, such as local water safety advisories (eg, lead-contaminated water), local air quality levels, and patients' proximity to power plants and fracking sites. Although exposure to toxic environmental agents is widespread across populations, many environmental factors that are harmful to reproductive health disproportionately affect underserved populations and are subsumed in issues of environmental justice. Clinical encounters offer an opportunity to screen and counsel patients during the prepregnancy and prenatal periods-particularly individuals most disproportionately affected-about opportunities to reduce toxic environmental health exposures. This Committee Opinion is revised to integrate more recent literature regarding reducing prepregnancy and prenatal toxic environmental exposures.
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24
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Liang Z, Yang Y, Yi J, Qian Z, Zhang Z, McMillin SE, Liu E, Lin H, Liu G. Maternal PM 2.5 exposure associated with stillbirth: A large birth cohort study in seven Chinese cities. Int J Hyg Environ Health 2021; 236:113795. [PMID: 34186502 DOI: 10.1016/j.ijheh.2021.113795] [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: 12/07/2020] [Revised: 05/14/2021] [Accepted: 06/14/2021] [Indexed: 10/21/2022]
Abstract
BACKGROUND Maternal exposure to fine particulate matter (PM2.5) has been associated with a few adverse birth outcomes. However, its effect on stillbirth remains unknown in China, especially the susceptible windows and potential modifiers. OBJECTIVE This study aimed to evaluate the associations between maternal PM2.5 exposure and stillbirth in seven Chinese cities. METHODS We used birth cohort data of 1,273,924 mother-and-birth pairs in seven cities in southern China between 2014 and 2017 to examine these associations. Pregnant women were recruited in the cohort at their first visit to a doctor for pregnancy, and stillbirths were recorded at the time of birth. Air pollution exposures were assessed through linking daily air pollutant concentrations from nearby monitoring stations to the mother's residential community. Cox regression models were applied to determine the associations between PM2.5 and stillbirth for different gestational periods. RESULTS Among the participants, 3150 (2.47‰) were identified as stillbirth cases. The hazard ratio (HR) of stillbirths was 1.52 (95% CI: 1.42, 1.62) for each 10 μg/m3 increase in PM2.5 during the entire pregnancy after controlling for some important covariates. Relatively stronger associations were observed during the second trimester [adjusted HR = 1.67 (95% CI: 1.57, 1.77)] than trimesters 1 [HR = 1.44 (95% CI: 1.37, 1.52)] and trimester 3 [HR = 1.23 (95% CI: 1.16, 1.30)]. Stratified analyses also showed a stronger association among pregnant women without previous pregnancy and previous delivery experiences. CONCLUSION The study indicates that maternal exposure to PM2.5, especially during the midpoint period of pregnancy, might increase the risk of stillbirths. Maternal previous pregnancy and delivery may modify this association.
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Affiliation(s)
- Zhijiang Liang
- Department of Public Health, Guangdong Women and Children Hospital, 521 Xingnan Road, Panyu District, Guangzhou, 511442, China
| | - Yin Yang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Jing Yi
- Department of Obstetrics, Guangdong Women and Children Hospital, 521 Xingnan Road, Panyu District, Guangzhou, 511442, China
| | - Zhengmin Qian
- Department of Epidemiology and Biostatistics, College for Public Health & Social Justice, Saint Louis University, Saint Louis, MO, 63104, USA
| | - Zilong Zhang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Stephen Edward McMillin
- School of Social Work, College for Public Health & Social Justice, Saint Louis University, St. Louis, MO, 63103, USA
| | - Echu Liu
- Department of Health Management and Policy, College for Public Health and Social Justice, Saint Louis University, Saint Louis, MO, 63104, USA
| | - Hualiang Lin
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China.
| | - Guocheng Liu
- Department of Obstetrics, Guangdong Women and Children Hospital, 521 Xingnan Road, Panyu District, Guangzhou, 511442, China.
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25
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Zhang Y, Mustieles V, Williams PL, Wylie BJ, Souter I, Calafat AM, Demokritou M, Lee A, Vagios S, Hauser R, Messerlian C. Parental preconception exposure to phenol and phthalate mixtures and the risk of preterm birth. ENVIRONMENT INTERNATIONAL 2021; 151:106440. [PMID: 33640694 PMCID: PMC8488320 DOI: 10.1016/j.envint.2021.106440] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Revised: 01/22/2021] [Accepted: 02/01/2021] [Indexed: 05/21/2023]
Abstract
BACKGROUND Parental preconception exposure to select phenols and phthalates was previously associated with increased risk of preterm birth in single chemical analyses. However, the joint effect of phenol and phthalate mixtures on preterm birth is unknown. METHODS We included 384 female and 211 male (203 couples) participants seeking infertility treatment in the Environment and Reproductive Health (EARTH) Study who gave birth to 384 singleton infants between 2005 and 2018. Mean preconception urinary concentrations of bisphenol A (BPA), parabens, and eleven phthalate biomarkers, including di(2-ethylhexyl) phthalate (DEHP) metabolites, were examined. We used principal component analysis (PCA) with log-Poisson regression and Probit Bayesian Kernel Machine Regression (BKMR) with hierarchical variable selection to examine maternal and paternal phenol and phthalate mixtures in relation to preterm birth. Couple-based BKMR model was fit to assess couples' joint mixtures in relation to preterm birth. RESULTS PCA identified the same four factors for maternal and paternal preconception mixtures. Each unit increase in PCA scores of maternal (adjusted Risk Ratio (aRR): 1.36, 95%CI: 1.00, 1.84) and paternal (aRR: 1.47, 95%CI: 0.90, 2.42) preconception DEHP-BPA factor was positively associated with preterm birth. Maternal and paternal BKMR models consistently presented the DEHP-BPA factor with the highest group Posterior Inclusion Probability (PIP). BKMR models further showed that maternal preconception BPA and mono(2-ethyl-5-hydroxyhexyl) phthalate, and paternal preconception mono(2-ethylhexyl) phthalate were positively associated with preterm birth when the remaining mixture components were held at their median concentrations. Couple-based BKMR models showed a similar relative contribution of paternal (PIP: 61%) and maternal (PIP: 77%) preconception mixtures on preterm birth. We found a positive joint effect on preterm birth across increasing quantiles of couples' total mixture concentrations. CONCLUSION In this prospective cohort of subfertile couples, maternal BPA and DEHP, and paternal DEHP exposure before conception were positively associated with preterm birth. Both parental windows jointly contributed to the outcome. These results suggest that preterm birth may be a couple-based pregnancy outcome.
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Affiliation(s)
- Yu Zhang
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Vicente Mustieles
- University of Granada, Center for Biomedical Research (CIBM), Spain; Instituto de Investigación Biosanitaria Ibs GRANADA, Spain; Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), 18100, Spain
| | - Paige L Williams
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Blair J Wylie
- Department of Obstetrics and Gynecology, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Irene Souter
- Massachusetts General Hospital Fertility Center, Harvard Medical School, Boston, MA, USA; Vincent Center for Reproductive Biology, Department of Obstetrics and Gynecology, Massachusetts General Hospital, Boston, MA, USA
| | - Antonia M Calafat
- National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Melina Demokritou
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Alexandria Lee
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Stylianos Vagios
- Massachusetts General Hospital Fertility Center, Harvard Medical School, Boston, MA, USA; Vincent Center for Reproductive Biology, Department of Obstetrics and Gynecology, Massachusetts General Hospital, Boston, MA, USA
| | - Russ Hauser
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Carmen Messerlian
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Massachusetts General Hospital Fertility Center, Harvard Medical School, Boston, MA, USA; Vincent Center for Reproductive Biology, Department of Obstetrics and Gynecology, Massachusetts General Hospital, Boston, MA, USA.
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26
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Zhang JY, Dai HX, Wu QJ, Li J, Huang YH, Chen ZJ, Li LL, Chen YL, Liu S, Jiang CZ. Maternal exposure to ambient levels of sulfur dioxide and risk of neural tube defects in 14 cities in Liaoning province, China: a population-based case-control study. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2021; 31:266-275. [PMID: 33005007 DOI: 10.1038/s41370-020-00273-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Revised: 08/15/2020] [Accepted: 09/18/2020] [Indexed: 06/11/2023]
Abstract
Epidemiological studies on the association of sulfur dioxide (SO2) with neural tube defects (NTDs) are lacking. The purpose of this study was to assess the aforementioned association through a population-based case-control study. This study involved 1457 NTDs cases and 7950 randomly selected healthy infants born in 14 cities in Liaoning province between 2010 and 2015. Ambient SO2 levels were acquired from 75 monitoring stations. The exposure assessment was based on the mean concentration of all stations in mother's residential city. We used logistic regression models to assess the associations. In multivariable models adjusted for the confounding variables selected based on the 10 percent change-in-estimate method, we found that maternal SO2 exposure was positively associated with an increased risk of NTDs during the first month after conception (per 10 μg/m3 increase: adjusted odds ratio [aOR] = 1.02, 95% confidence interval [CI]: 1.00-1.04; highest versus lowest quartile: aOR = 2.55, 95% CI: 1.97-3.31) and the second month after conception (per 10 μg/m3 increase: aOR = 1.02, 95% CI: 1.00-1.04; highest versus lowest quartile: aOR=2.31, 95% CI: 1.77-3.00). For other exposure windows, positive associations also emerged in high- versus low-exposure analyses, except for the third month before conception; however, we could not further confirm significant findings from the continuous exposure analyses. Our study provides a new evidence that SO2 exposure may increase the risk of NTDs.
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Affiliation(s)
- Jia-Yu Zhang
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Hui-Xu Dai
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Qi-Jun Wu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Jing Li
- Department of Science and Education, Shenyang Maternity and Child Health Hospital, Shenyang, China
| | - Yan-Hong Huang
- Department of Ophthalmology, Shenyang Women's and Children's Hospital, Shenyang, China.
| | - Zong-Jiao Chen
- Department of Atmospheric Environment Monitoring, Liaoning Eco-environmental Monitoring Center, Shenyang, China
| | - Li-Li Li
- Department of Children's Health Prevention, Shenyang Maternity and Child Health Hospital, Shenyang, China
| | - Yan-Ling Chen
- Liaoning Women and Children's Health Hospital, Shenyang, China
| | - Shu Liu
- Department of Atmospheric Environment Monitoring, Liaoning Eco-environmental Monitoring Center, Shenyang, China
| | - Cheng-Zhi Jiang
- School of Environmental and Chemical Engineering, Shenyang Ligong University, Shenyang, China
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27
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Li Q, Wang YY, Guo Y, Zhou H, Wang X, Wang QM, Shen HP, Zhang YP, Yan DH, Li S, Chen G, Lin L, He Y, Yang Y, Peng ZQ, Wang HJ, Ma X. Folic Acid Supplementation and the Association between Maternal Airborne Particulate Matter Exposure and Preterm Delivery: A National Birth Cohort Study in China. ENVIRONMENTAL HEALTH PERSPECTIVES 2020; 128:127010. [PMID: 33337244 PMCID: PMC7747880 DOI: 10.1289/ehp6386] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/14/2019] [Revised: 11/19/2020] [Accepted: 11/20/2020] [Indexed: 05/22/2023]
Abstract
BACKGROUND Potential modification of the association between maternal particulate matter (PM) exposure and preterm delivery (PTD) by folic acid (FA) supplementation has not been studied. OBJECTIVE We examined whether FA supplementation could reduce the risk of PTD associated with maternal exposure to PM in ambient air during pregnancy. METHOD In a cohort study covering 30 of the 31 provinces of mainland China in 2014, 1,229,556 primiparas of Han ethnicity were followed until labor. We collected information on their FA supplementation and pregnancy outcomes and estimated each participant's exposure to PM with diameters of ≤ 10 μ m (PM 10 ), 2.5 μ m (PM 2.5 ), and 1 μ m (PM 1 ) using satellite remote-sensing based models. Cox proportional hazard regression models were used to examine interactions between FA supplementation and PM exposures, after controlling for individual characteristics. RESULTS Participants who initiated FA ≥ 3 months prior to pregnancy (38.1%) had a 23% [hazard ratio ( HR ) = 0.77 (95% CI: 0.76, 0.78)] lower risk of PTD than women who did not use preconception FA. Participants with PM concentrations in the highest quartile had a higher risk of PTD [HR = 1.29 (95% CI: 1.26, 1.32) for PM 1 , 1.52 (95% CI: 1.46, 1.58) for PM 2.5 , and 1.22 (95% CI: 1.17, 1.27) for PM 10 ] than those with exposures in the lowest PM quartiles. Estimated associations with a 10 - μ g / m 3 increase in PM 1 and PM 2.5 were significantly lower among women who initiated FA ≥ 3 months prior to pregnancy [HR = 1.09 (95% CI: 1.08, 1.10) for both exposures] than among women who did not use preconception FA [HR = 1.12 (95% CI: 1.11, 1.13) for both exposures; p interaction < 0.001 ]. The corresponding association was also significantly lower for a 10 - μ g / m 3 increase in PM 10 [HR = 1.03 (95% CI: 1.02, 1.03) for FA ≥ 3 months before pregnancy vs. 1.04 (95% CI: 1.03, 1.04) for no preconception FA; p interaction < 0.001 ]. CONCLUSION Our findings require confirmation in other populations, but they suggest that initiating FA supplementation ≥ 3 months prior to pregnancy may lessen the risk of PTD associated with PM exposure during pregnancy among primiparas of Han ethnicity. https://doi.org/10.1289/EHP6386.
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Affiliation(s)
- Qin Li
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, China
- Environmental and Spatial Epidemiology Research Center, National Human Genetic Resources Center, Beijing, China
- Reproductive Medical Centre, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China
| | - Yuan-Yuan Wang
- Environmental and Spatial Epidemiology Research Center, National Human Genetic Resources Center, Beijing, China
- National Research Institute for Family Planning, Beijing, China
| | - Yuming Guo
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Hong Zhou
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, China
- Environmental and Spatial Epidemiology Research Center, National Human Genetic Resources Center, Beijing, China
| | - Xiaobin Wang
- Center on the Early Life Origins of Disease, Department of Population, Family and Reproductive Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
- Department of Pediatrics, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - Qiao-Mei Wang
- Department of Maternal and Child Health, National Health Commission of the People’s Republic of China, Beijing, China
| | - Hai-Ping Shen
- Department of Maternal and Child Health, National Health Commission of the People’s Republic of China, Beijing, China
| | - Yi-Ping Zhang
- Department of Maternal and Child Health, National Health Commission of the People’s Republic of China, Beijing, China
| | - Dong-Hai Yan
- Department of Maternal and Child Health, National Health Commission of the People’s Republic of China, Beijing, China
| | - Shanshan Li
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Gongbo Chen
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Lizi Lin
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, China
| | - Yuan He
- National Research Institute for Family Planning, Beijing, China
| | - Ying Yang
- National Research Institute for Family Planning, Beijing, China
| | - Zuo-Qi Peng
- National Research Institute for Family Planning, Beijing, China
| | - Hai-Jun Wang
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, China
- Environmental and Spatial Epidemiology Research Center, National Human Genetic Resources Center, Beijing, China
| | - Xu Ma
- Environmental and Spatial Epidemiology Research Center, National Human Genetic Resources Center, Beijing, China
- National Research Institute for Family Planning, Beijing, China
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Qiu X, Fong KC, Shi L, Papatheodorou S, Di Q, Just A, Kosheleva A, Messerlian C, Schwartz JD. Prenatal exposure to particulate air pollution and gestational age at delivery in Massachusetts neonates 2001-2015: A perspective of causal modeling and health disparities. Environ Epidemiol 2020; 4:e113. [PMID: 33154990 PMCID: PMC7595249 DOI: 10.1097/ee9.0000000000000113] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2020] [Accepted: 07/23/2020] [Indexed: 11/26/2022] Open
Abstract
There is a lack of evidence on causal effects of air pollution on gestational age (GA) at delivery. METHODS Inverse probability weighting (IPW) quantile regression was applied to derive causal marginal population-level GA reduction for GA percentiles associated with increased ambient particulate matter with diameter <2.5 μm (PM2.5) levels at maternal residential address for each trimester and the month preceding delivery using Massachusetts birth registry 2001 to 2015. Stratified analyses were conducted for neonatal sex, maternal age/race/education, and extreme ambient temperature conditions. RESULTS For neonates at 2.5th, 10th, 25th, 50th, 75th, and 97.5th percentiles of GA at delivery, we estimated an adjusted GA reduction of 4.2 days (95% confidence interval [CI] = 3.4, 5.0), 1.9 days (1.6, 2.1), 1.2 days (1.0, 1.4), 0.82 days (0.72, 0.92), 0.74 days (0.54, 0.94), and 0.54 days (0.15, 0.93) for each 5 μg/m3 increment in third trimester average PM2.5 levels. Final gestational month average exposure yielded a similar effect with greater magnitude. Male neonates and neonates of younger (younger than 35 years) and African American mothers as well as with high/low extreme temperature exposure in third trimester were more affected. Estimates were consistently higher at lower GA percentiles, indicating preterm/early-term births being more affected. Low-exposure analyses yielded similar results, restricting to areas with PM2.5 levels under US ambient annual standard of 12 μg/m3. CONCLUSIONS Prenatal exposure to PM2.5 in late pregnancy reduced GA at delivery among Massachusetts neonates, especially among preterm/early-term births, male neonates, and neonates of younger and African American mothers. Exposure to extremely high/low temperature amplifies the effect of PM2.5 on GA.
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Affiliation(s)
- Xinye Qiu
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Kelvin C Fong
- School of the Environment, Yale University, New Haven, Connecticut
| | - Liuhua Shi
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Stefania Papatheodorou
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Qian Di
- School of Medicine, Tsinghua University, Beijing, China
| | - Allan Just
- Icahn School of Medicine at Mount Sinai, New York City, New York
| | - Anna Kosheleva
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Carmen Messerlian
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Joel D Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
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29
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Thayamballi N, Habiba S, Laribi O, Ebisu K. Impact of Maternal Demographic and Socioeconomic Factors on the Association Between Particulate Matter and Adverse Birth Outcomes: a Systematic Review and Meta-analysis. J Racial Ethn Health Disparities 2020; 8:743-755. [PMID: 32901434 DOI: 10.1007/s40615-020-00835-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2020] [Revised: 07/21/2020] [Accepted: 07/27/2020] [Indexed: 01/28/2023]
Abstract
BACKGROUND Numerous studies conducted in the United States found associations between prenatal exposure to particulate matter (PM) and adverse birth outcomes, and some studies identified vulnerable populations, including certain racial/ethnic groups and people with low-socioeconomic status. However, their findings are not always consistent. In this review, we compared the risk of adverse birth outcomes due to PM exposures among subpopulations and investigated whether any particular population is more vulnerable. METHODS We selected U.S. studies examining associations between PM exposure during pregnancy and birth outcomes that included results for effect modification by race/ethnicity and/or maternal education. We summarized the findings for various sizes of PM and birth outcomes. Meta-analysis was conducted to quantify vulnerable race/ethnicity for the association between fine PM (PM2.5) and birthweight. RESULTS In total, 19 studies were assessed, and PM-related risks of adverse birth outcomes, particularly those related to fetal growth, likely differ across subpopulations. A meta-analysis from five studies showed that a 10 μg/m3 increase of PM2.5 during the full-gestation reduced birthweight by 21.9 g (95% confidence interval 11.7, 32.0), 15.7 g (10.1, 21.4), 9.3 g (2.7, 15.8), and 5.8 g (- 9.0, 20.7) for Black, White, Hispanic, and Asian mothers, respectively. CONCLUSION Our review indicated that Black mothers and mothers with low educational attainment are more vulnerable subpopulations. More investigation is needed for effect modification by other maternal factors, such as household income. Characterizing and quantifying vulnerable subpopulations are essential for addressing environmental justice since it can help regulatory agencies allocate resources and design policy interventions.
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Affiliation(s)
- Neil Thayamballi
- Office of Environmental Health Hazard Assessment, California Environmental Protection Agency, 1515 Clay Street, 16th floor, Oakland, CA, 94612, USA.,School of Public Health, University of California, Berkeley, 2121 Berkeley Way, Room 5302, Berkeley, CA, 94720-7360, USA
| | - Sara Habiba
- Office of Environmental Health Hazard Assessment, California Environmental Protection Agency, 1515 Clay Street, 16th floor, Oakland, CA, 94612, USA.,School of Public Health, University of California, Berkeley, 2121 Berkeley Way, Room 5302, Berkeley, CA, 94720-7360, USA
| | - Ouahiba Laribi
- Office of Environmental Health Hazard Assessment, California Environmental Protection Agency, 1515 Clay Street, 16th floor, Oakland, CA, 94612, USA
| | - Keita Ebisu
- Office of Environmental Health Hazard Assessment, California Environmental Protection Agency, 1515 Clay Street, 16th floor, Oakland, CA, 94612, USA.
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30
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Wang L, Guo P, Tong H, Wang A, Chang Y, Guo X, Gong J, Song C, Wu L, Wang T, Hopke PK, Chen X, Tang NJ, Mao H. Traffic-related metrics and adverse birth outcomes: A systematic review and meta-analysis. ENVIRONMENTAL RESEARCH 2020; 188:109752. [PMID: 32516633 DOI: 10.1016/j.envres.2020.109752] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2020] [Revised: 05/09/2020] [Accepted: 05/27/2020] [Indexed: 06/11/2023]
Abstract
Given the inconsistency of epidemiologic evidence for associations between maternal exposures to traffic-related metrics and adverse birth outcomes, this manuscript aims to provide clarity on this topic. Pooled meta-estimates were calculated using random-effects analyses. Subgroup analyses were conducted by study area, study design, and Newcastle-Ottawa quality score (NOS). Funnel plots and Egger's test were conducted to evaluate the publication bias, and Fail-safe Numbers (Fail-safe N) were measured to evaluate the robustness of models. From the initial 740 studies (last search, July 11, 2019), 26 studies were included in our analysis. The pooled odds ratio for the change in small for gestational age associated with per 500 m decrease in the distance to roads was 1.016 (95% CI: 1.004, 1.029). Subgroup analyses revealed significant positive associations between term low birth weight and traffic density in higher-quality literatures with higher NOS [1.060 (95% CI: 1.002, 1.121)], cohort studies [1.020 (95% CI: 1.006, 1.033)], and studies in North America [1.018 (95% CI: 1.005, 1.131)]. The buffer of traffic density made no difference in the effect size. Traffic density seemed to be a better indicator of traffic pollution than the distance to roads.
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Affiliation(s)
- Lijun Wang
- Center for Urban Transport Emission Research (CUTER), And State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Key Laboratory of Urban Transport Emission Research, 300071, Tianjin, China
| | - Pengyi Guo
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Key Laboratory of Environment, Nutrition and Public Health, 300070, Tianjin, China
| | - Hui Tong
- Center for Urban Transport Emission Research (CUTER), And State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Key Laboratory of Urban Transport Emission Research, 300071, Tianjin, China
| | - Anxu Wang
- Center for Urban Transport Emission Research (CUTER), And State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Key Laboratory of Urban Transport Emission Research, 300071, Tianjin, China
| | - Ying Chang
- Tianjin Center Hospital of Obstetrics and Gynecology, Tianjin Key Laboratory of Human Development and Reproductive Regulation, China
| | - Xuemei Guo
- University Library, Tianjin Medical University, Tianjin, 300070, China
| | - Junming Gong
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Key Laboratory of Environment, Nutrition and Public Health, 300070, Tianjin, China
| | - Congbo Song
- Center for Urban Transport Emission Research (CUTER), And State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Key Laboratory of Urban Transport Emission Research, 300071, Tianjin, China
| | - Lin Wu
- Center for Urban Transport Emission Research (CUTER), And State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Key Laboratory of Urban Transport Emission Research, 300071, Tianjin, China
| | - Ting Wang
- Center for Urban Transport Emission Research (CUTER), And State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Key Laboratory of Urban Transport Emission Research, 300071, Tianjin, China
| | - Philip K Hopke
- Center for Urban Transport Emission Research (CUTER), And State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Key Laboratory of Urban Transport Emission Research, 300071, Tianjin, China; Department of Public Health Sciences, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA
| | - Xi Chen
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Key Laboratory of Environment, Nutrition and Public Health, 300070, Tianjin, China.
| | - Nai-Jun Tang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Key Laboratory of Environment, Nutrition and Public Health, 300070, Tianjin, China.
| | - Hongjun Mao
- Center for Urban Transport Emission Research (CUTER), And State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Key Laboratory of Urban Transport Emission Research, 300071, Tianjin, China.
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31
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Zhang X, Fan C, Ren Z, Feng H, Zuo S, Hao J, Liao J, Zou Y, Ma L. Maternal PM 2.5 exposure triggers preterm birth: a cross-sectional study in Wuhan, China. Glob Health Res Policy 2020; 5:17. [PMID: 32377568 PMCID: PMC7193342 DOI: 10.1186/s41256-020-00144-5] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2020] [Accepted: 03/24/2020] [Indexed: 11/10/2022] Open
Abstract
Background Most of the studies regarding air pollution and preterm birth (PTB) in highly polluted areas have estimated the exposure level based on fixed-site monitoring. However, exposure assessment methods relying on monitors have the potential to cause exposure misclassification due to a lack of spatial variation. In this study, we utilized a land use regression (LUR) model to assess individual exposure, and explored the association between PM2.5 exposure during each time window and the risk of preterm birth in Wuhan city, China. Methods Information on 2101 singleton births, which were ≥ 20 weeks of gestation and born between November 1, 2013 and May 31, 2014; between January 1, 2015 and August 31, 2015, was obtained from the Obstetrics Department in one 3A hospital in Wuhan. Air quality index (AQI) data were accessed from the Wuhan Environmental Protection Bureau website. Individual exposure during pregnancy was assessed by LUR models and Kriging interpolation. Logistic regression analyses were conducted to determine the association between women exposure to PM2.5 and the risk of different subtypes of PTB. Results During the study period, the average individual exposure concentration of PM2.5 during the entire pregnancy was 84.54 μg/m3. A 10 μg/m3 increase of PM2.5 exposure in the first trimester (OR: 1.169; 95% CI: 1.077, 1.262), the second trimester (OR: 1.056; 95% CI: 1.015, 1.097), the third trimester (OR: 1.052; 95% CI: 1.002, 1.101), and the entire pregnancy (OR: 1.263; 95% CI: 1.158, 1.368) was significantly associated with an increased risk of PTB. For the PTB subgroup, the hazard of PM2.5 exposure during pregnancy was stronger for very preterm births (VPTB) than moderate preterm births (MPTB). The first trimester was the most susceptible exposure window. Moreover, women who had less than 9 years of education or who conceived during the cold season tended to be more susceptible to the PM2.5 exposure during pregnancy. Conclusions Maternal exposure to PM2.5 increased the risk of PTB, and this risk was stronger for VPTB than for MPTB, especially during the first trimester.
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Affiliation(s)
- Xiaotong Zhang
- 1Department of Epidemiology and Health Statistics, School of Health Sciences, Wuhan University, Wuhan, 430071 China
| | - Cuifang Fan
- 2Department of Obstetrics, Renmin Hospital of Wuhan University, Wuhan, 430060 China
| | - Zhan Ren
- 1Department of Epidemiology and Health Statistics, School of Health Sciences, Wuhan University, Wuhan, 430071 China
| | - Huan Feng
- 1Department of Epidemiology and Health Statistics, School of Health Sciences, Wuhan University, Wuhan, 430071 China
| | - Shanshan Zuo
- 1Department of Epidemiology and Health Statistics, School of Health Sciences, Wuhan University, Wuhan, 430071 China
| | - Jiayuan Hao
- 1Department of Epidemiology and Health Statistics, School of Health Sciences, Wuhan University, Wuhan, 430071 China
| | - Jingling Liao
- 3Department of Public Health, Wuhan University of Science and Technology School of Medicine, Wuhan, 430081 China
| | - Yuliang Zou
- 1Department of Epidemiology and Health Statistics, School of Health Sciences, Wuhan University, Wuhan, 430071 China.,4Global Health Institute, Wuhan University, Wuhan, 430071 China
| | - Lu Ma
- 1Department of Epidemiology and Health Statistics, School of Health Sciences, Wuhan University, Wuhan, 430071 China.,4Global Health Institute, Wuhan University, Wuhan, 430071 China
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32
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Huang S, Lin D, Huang Z, Yang L, Ding X, Chen Q. Acute Effects of Exposure to Ambient Air Pollutants on Preterm Birth in Xiamen City (2015-2018), China. ACS OMEGA 2020; 5:7462-7467. [PMID: 32280889 PMCID: PMC7144129 DOI: 10.1021/acsomega.0c00146] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/12/2020] [Accepted: 03/17/2020] [Indexed: 05/04/2023]
Abstract
Backgrounds: Urban energy consumption is one of the important causes of air pollution. The epidemiological risk assessment guided by air pollution is of great significance to the promotion of urban environmental protection. Objectives: The work researched the acute impact of exposure to air pollution on preterm birth (PTB) in Xiamen city from 2015 to 2018. Furthermore, the economic losses were assessed as well. Methods: Association of air pollution and PTB with economic losses were assessed using the generalized additive model. Results: A total of 1991 PTB visits, who are inhabitant in Xiamen, have been investigated. An interquartile range (IQR) (10 μg/m3) increase of PM10, NO2, and SO2 in the current day corresponded to the increase of 0.64% [95% CI: -1.22, 2.54%], 0.52% [95% CI: -5.21, 6.61%], and 2.33% [95% CI: -6.41, 11.58%] in daily PTB visits. Especially, PTB visits were significantly related with PM10 and NO2 in Lag 1 and NO2 and SO2 in Lag 2. Furthermore, for multipollutants, an IQR increase in PM2.5, O3, and CO, after adjustment with SO2, was related with 5.04% [95% CI: -5.90, 17.24], 2.49% [95% CI: -6.07, 11.81], and 7.10% [95% CI: -2.79, 18.00] increase of PTB morbidity, respectively. The estimates of the number of excess PTBs attributed to typical pollutants PM10 and SO2 were ∼2400 and 1200 people, respectively, every year. The highest excess PTBs was estimated to occur as a result of PM10 and SO2 effects. Conclusions: Although Xiamen has a relatively low level of air pollution, short-term exposure to NO2, SO2, and PM10 was linked to the increase of PTB visits.
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Affiliation(s)
- Sijing Huang
- Department
of Obstetrics and Gynecology, The First Affiliated Hospital, School
of Medicine, Xiamen University, Xiamen, Fujian 361003, China
- The
Key Laboratory of Research and Diagnosis of Gynecological Diseases
of Xiamen City, The First Affiliated Hospital
of Xiamen University, Xiamen, Fujian 361003, China
| | - Dianchao Lin
- Department
of Obstetrics and Gynecology, The First Affiliated Hospital, School
of Medicine, Xiamen University, Xiamen, Fujian 361003, China
- The
Key Laboratory of Research and Diagnosis of Gynecological Diseases
of Xiamen City, The First Affiliated Hospital
of Xiamen University, Xiamen, Fujian 361003, China
| | - Zhixiong Huang
- State
Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, Fujian 361003, China
| | - Lin Yang
- Department
of Obstetrics and Gynecology, The First Affiliated Hospital, School
of Medicine, Xiamen University, Xiamen, Fujian 361003, China
- The
Key Laboratory of Research and Diagnosis of Gynecological Diseases
of Xiamen City, The First Affiliated Hospital
of Xiamen University, Xiamen, Fujian 361003, China
| | - Xinyu Ding
- Department
of Obstetrics and Gynecology, The First Affiliated Hospital, School
of Medicine, Xiamen University, Xiamen, Fujian 361003, China
- The
Key Laboratory of Research and Diagnosis of Gynecological Diseases
of Xiamen City, The First Affiliated Hospital
of Xiamen University, Xiamen, Fujian 361003, China
| | - Qionghua Chen
- Department
of Obstetrics and Gynecology, The First Affiliated Hospital, School
of Medicine, Xiamen University, Xiamen, Fujian 361003, China
- The
Key Laboratory of Research and Diagnosis of Gynecological Diseases
of Xiamen City, The First Affiliated Hospital
of Xiamen University, Xiamen, Fujian 361003, China
- .
Phone: +86-218-1680
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Guo P, Chen Y, Wu H, Zeng J, Zeng Z, Li W, Zhang Q, Huo X, Feng W, Lin J, Miao H, Zhu Y. Ambient air pollution and markers of fetal growth: A retrospective population-based cohort study of 2.57 million term singleton births in China. ENVIRONMENT INTERNATIONAL 2020; 135:105410. [PMID: 31884132 DOI: 10.1016/j.envint.2019.105410] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/28/2019] [Revised: 12/07/2019] [Accepted: 12/10/2019] [Indexed: 02/05/2023]
Abstract
BACKGROUNDS Evidence is scarce on the relation between maternal exposure to ambient air pollution during pregnancy and fetal growth in developing countries. Moreover, the current evidence is inconsistent. We aimed to investigate the association of trimester-specific exposure to air pollution with risk of being born small for gestational age (SGA) and birth weight-markers of fetal growth-among Chinese term births. METHODS This retrospective population-based cohort study consisted of 2,567,457 singleton term live-births from January 1, 2014 to December 31, 2017 across 123 Chinese districts and counties. Personal exposure to ambient air pollutants including carbon monoxide (CO), sulfur dioxide (SO2), nitrogen dioxide (NO2), ozone (O3), particulate matter with aerodynamic diameter < 2.5 μm (PM2.5), and PM10 was assigned using the inverse distance weighting spatial interpolation algorithm. Generalized estimating equations (GEE) logistic regression models were performed to estimate the associations between trimester-specific exposure to air pollution and risk of SGA or low birth weight (LBW), and GEE linear regression to examine the associations between the exposure and term birth weight, adjusting for maternal demographics, maternal cigarette smoking status during pregnancy, mode of delivery, gravidity, gestational age, year and month of conception, neonate's sex, and meteorological factors. Stratified and sensitivity analyses were also performed. RESULTS When mother exposed to ambient air pollutants over the entire pregnancy, per IQR increment (0.122 mg/m3) in ambient CO concentrations was associated with higher risk of SGA (odds ratio (OR) = 1.04, 95% confidence interval (CI): 1.02, 1.05) and reduced birth weight among term births (-5.95 g, 95% CI: -8.01, -3.89). This association was also pronounced in the second and third trimesters. Term birth weight was negatively associated with per IQR increase of O3 (-3.52 g, 95% CI: -6.23, -0.81), PM2.5 (-5.93 g, 95% CI: -8.36, -3.49) and PM10 (-7.78 g, 95% CI: -10.41, -5.16) during the entire pregnancy, respectively. No significant association was detected between maternal exposure to air pollutants and term LBW. Effect estimates of heterogeneity suggested that maternal age and infant sex modified the impact of air pollution on birth weight. CONCLUSIONS The findings suggest that maternal exposure to air pollution during pregnancy is adversely affecting fetal growth. Further studies are warranted to integrate these findings and take clinical or public health interventions in pregnancy.
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Affiliation(s)
- Pi Guo
- Department of Preventive Medicine, Shantou University Medical College, Shantou 515041, China
| | - Yuliang Chen
- Department of Preventive Medicine, Shantou University Medical College, Shantou 515041, China
| | - Haisheng Wu
- Department of Preventive Medicine, Shantou University Medical College, Shantou 515041, China
| | - Jing Zeng
- Guangdong Women and Children Hospital, Guangzhou 511442, China
| | - Zhisheng Zeng
- Guangdong Women and Children Hospital, Guangzhou 511442, China
| | - Weiping Li
- Clinical Cohort Research Center, First Affiliated Hospital of Shantou University Medical College, Shantou 515041, China
| | - Qingying Zhang
- Department of Preventive Medicine, Shantou University Medical College, Shantou 515041, China
| | - Xia Huo
- Laboratory of Environmental Medicine and Developmental Toxicology, Guangzhou and Guangdong Key Laboratory of Environmental Pollution and Health, School of Environment, Jinan University, Guangzhou 510632, China
| | - Wenru Feng
- Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China
| | - Jiumin Lin
- Department of Hepatology and Infectious Diseases, the Second Affiliated Hospital, Shantou University Medical College, Shantou 515041, China
| | - Huazhang Miao
- Guangdong Women and Children Hospital, Guangzhou 511442, China.
| | - Yingxian Zhu
- Guangdong Women and Children Hospital, Guangzhou 511442, China.
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Berrocal VJ, Guan Y, Muyskens A, Wang H, Reich BJ, Mulholland JA, Chang HH. A comparison of statistical and machine learning methods for creating national daily maps of ambient PM 2.5 concentration. ATMOSPHERIC ENVIRONMENT (OXFORD, ENGLAND : 1994) 2020; 222:117130. [PMID: 32863727 PMCID: PMC7451200 DOI: 10.1016/j.atmosenv.2019.117130] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/07/2023]
Abstract
A typical challenge in air pollution epidemiology is to perform detailed exposure assessment for individuals for which health data are available. To address this problem, in the last few years, substantial research efforts have been placed in developing statistical methods or machine learning techniques to generate estimates of air pollution at fine spatial and temporal scales (daily, usually) with complete coverage. However, it is not clear how much the predicted exposures yielded by the various methods differ, and which method generates more reliable estimates. In this paper, we aim to address this gap by evaluating a variety of exposure modeling approaches, comparing their predictive performance. Using PM2.5 in year 2011 over the continental U.S. as a case study, we generate national maps of ambient PM2.5 concentration using: (i) ordinary least squares and inverse distance weighting; (ii) kriging; (iii) statistical downscaling models, that is, spatial statistical models that use the information contained in air quality model outputs; (iv) land use regression, that is, linear regression modeling approaches that leverage the information in Geographical Information System (GIS) covariates; and (v) machine learning methods, such as neural networks, random forests and support vector regression. We examine the various methods' predictive performance via cross-validation using Root Mean Squared Error, Mean Absolute Deviation, Pearson correlation, and Mean Spatial Pearson Correlation. Additionally, we evaluated whether factors such as, season, urbanicty, and levels of PM2.5 concentration (low, medium or high) affected the performance of the different methods. Overall, statistical methods that explicitly modeled the spatial correlation, e.g. universal kriging and the downscaler model, outperform all the other exposure assessment approaches regardless of season, urbanicity and PM2.5 concentration level. We posit that the better predictive performance of spatial statistical models over machine learning methods is due to the fact that they explicitly account for spatial dependence, thus borrowing information from neighboring observations. In light of our findings, we suggest that future exposure assessment methods for regional PM2.5 incorporate information from neighboring sites when deriving predictions at unsampled locations or attempt to account for spatial dependence.
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Affiliation(s)
- Veronica J. Berrocal
- University of California - Irvine, Department of Statistics, Irvine, California, USA
| | - Yawen Guan
- University of Nebraska, Department of Statistics, Lincoln, Nebraska, USA
| | - Amanda Muyskens
- Lawrence Livermore National Laboratory, Livermore, California, USA
| | - Haoyu Wang
- North Carolina State University, Department of Statistics, Raleigh, North Carolina, USA
| | - Brian J. Reich
- North Carolina State University, Department of Statistics, Raleigh, North Carolina, USA
| | | | - Howard H. Chang
- Emory University, Department of Biostatistics and Bioinformatics, Atlanta, USA
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Heo S, Fong KC, Bell ML. Risk of particulate matter on birth outcomes in relation to maternal socio-economic factors: a systematic review. ENVIRONMENTAL RESEARCH LETTERS : ERL [WEB SITE] 2019; 14. [PMID: 34108997 PMCID: PMC8186490 DOI: 10.1088/1748-9326/ab4cd0] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2023]
Abstract
A growing number of studies provide evidence of an association between exposure to maternal air pollution during pregnancy and adverse birth outcomes including low birth weight and preterm birth. Prevention of these health effects of air pollution is critical to reducing the adverse infant outcomes, which can have impacts throughout the life course. However, there is no consensus on whether the association between air pollution exposure and birth outcomes varies by maternal risk factors including demographic characteristics and socio-economic status. Such information is vital to understand potential environmental health disparities. Our search found 859 unique studies, of which 45 studies met our inclusion criteria (Jan. 2000- July. 2019). We systematically reviewed the 45 identified epidemiologic studies and summarized the results on effect modifications by maternal race/ethnicity, educational attainment, income, and area-level socio-economic status. We considered adverse birth outcomes of preterm birth, low birth weight, small for gestational age (SGA), and stillbirth. Suggestive evidence of higher risk of particulate matter in infants of African-American/black mothers than infants of other women was found for preterm birth and low birth weight. We found weak evidence that particulate matter risk was higher for infants of mothers with lower educational attainment for preterm birth and low birth weight. Due to the small study numbers, we were unable to conclude whether effect modification is present for income, occupation, and area-level socio-economic status, and additional research is needed. Furthermore, adverse birth outcomes such as SGA and stillbirth need more study to understand potential environmental justice issues regarding the impact of particulate matter exposure during pregnancy on birth outcomes.
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Affiliation(s)
- Seulkee Heo
- School of Forestry and Environmental Studies, Yale University
| | - Kelvin C Fong
- School of Forestry and Environmental Studies, Yale University
| | - Michelle L Bell
- School of Forestry and Environmental Studies, Yale University
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Lu C, Cao L, Norbäck D, Li Y, Chen J, Deng Q. Combined effects of traffic air pollution and home environmental factors on preterm birth in China. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2019; 184:109639. [PMID: 31525560 DOI: 10.1016/j.ecoenv.2019.109639] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/02/2019] [Revised: 08/29/2019] [Accepted: 09/03/2019] [Indexed: 05/25/2023]
Abstract
BACKGROUND Although mounting evidence have linked traffic-related air pollution (TRAP) with increased risk of preterm birth (PTB), whether it can interact with indoor environmental factors remains unknown, and its window(s) susceptibility at the stage of gestation is unclear. OBJECTIVE To explore PTB risk for prenatal exposure to traffic-related air pollution and home environmental factors during pregnancy, so as to identify critical window(s) in the combined effect of traffic air pollution and main home environmental factor(s) on PTB development. METHODS A retrospective cohort study of 3,509 preschool children was performed in Changsha, China during 2011-2012. The PTB prevalence was reported by the parents based on a questionnaire. We estimated each mother's exposure to traffic-related air pollutant NO2 in different windows of gestation, including conception month, three trimesters, birth month, and whole gestation. Maternal exposure to home environmental factors was considered by renovation (new furniture/redecoration) in pregnancy, and mold/damp stains and window condensation during perinatal period. Associations of PTB with both ambient NO2 and home environmental factors, and their interactions on PTB were evaluated by logistic regression models using odds ratio (OR) with 95% confidence interval (CI). RESULTS Traffic air pollutant NO2 exposure in utero was significantly associated with PTB, with adjusted odds ratio (OR) (95% CI) of 1.41 (1.00-1.98) for an IQR increase in NO2 exposure during whole pregnancy, particularly in the conception month and 1st trimester. We further found a positive relationship between perinatal exposure to mold/damp stains in the homes and PTB, OR (95% CI) = 1.73 (1.04-2.90). Especially, we detected a significant interaction between outdoor NO2 and indoor mold/damp stains on PTB risk. Male and female foetus were respectively more susceptible to perinatal mold/dampness at home and outdoor NO2 exposure in early gestation. CONCLUSION Our finding indicates that both outdoor traffic air pollutant and indoor mold/dampness play key roles in PTB development, and their interaction effect in early pregnancy significantly increases PTB risk.
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Affiliation(s)
- Chan Lu
- XiangYa School of Public Health, Central South University, Changsha, China; Hunan Engineering Research Center of Early Life Development and Disease Prevention, XiangYa Hospital, Central South University, Changsha, China
| | - Lanqin Cao
- Department of Gynecology, XiangYa Hospital, Central South University, Changsha, China
| | - Dan Norbäck
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Yuguo Li
- Department of Mechanical Engineering, The University of Hong Kong, Hong Kong, China
| | - Jing Chen
- School of Architecture and Art, Central South University, Changsha, China
| | - Qihong Deng
- XiangYa School of Public Health, Central South University, Changsha, China; Hunan Engineering Research Center of Early Life Development and Disease Prevention, XiangYa Hospital, Central South University, Changsha, China; School of Architecture and Art, Central South University, Changsha, China.
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Alman BL, Stingone JA, Yazdy M, Botto LD, Desrosiers TA, Pruitt S, Herring AH, Langlois PH, Nembhard WN, Shaw GM, Olshan AF, Luben TJ. Associations between PM 2.5 and risk of preterm birth among liveborn infants. Ann Epidemiol 2019; 39:46-53.e2. [PMID: 31678056 PMCID: PMC7315599 DOI: 10.1016/j.annepidem.2019.09.008] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2019] [Revised: 09/19/2019] [Accepted: 09/28/2019] [Indexed: 12/11/2022]
Abstract
PURPOSE Studies suggest exposure to ambient particulate matter less than 2.5 μg/m3 in aerodynamic diameter (PM2.5) may be associated with preterm birth (PTB), but few have evaluated how this is modified by ambient temperature. We investigated the relationship between PM2.5 exposure during pregnancy and PTB in infants without birth defects (1999-2006) and enrolled in the National Birth Defects Prevention Study and how it is modified by concurrent temperature. METHODS PTB was defined as spontaneous or iatrogenic delivery before 37 weeks. Exposure was assigned using inverse distance weighting with up to four monitors within 50 kilometers of maternal residence. To account for state-level variations, a Bayesian two-level hierarchal model was developed. RESULTS PTB was associated with PM2.5 during the third and fourth months of pregnancy (range: (odds ratio (95% confidence interval) = 1.00 (0.35, 2.15) to 1.49 (0.82, 2.68) and 1.31 (0.56, 2.91) to 1.62 (0.7, 3.32), respectively); no week of exposure conveyed greater risk. Temperature may modify this relationship; higher local average temperatures during pregnancy yielded stronger positive relationships between PM2.5 and PTB compared to nonstratified results. CONCLUSIONS Results add to literature on associations between PM2.5 and PTB, underscoring the importance of considering co-exposures when estimating effects of PM2.5 exposure during pregnancy.
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Affiliation(s)
- Breanna L Alman
- Office of Air and Radiation, U.S. Environmental Protection Agency, Research Triangle Park, NC
| | - Jeanette A Stingone
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, NY, NY
| | - Mahsa Yazdy
- Massachusetts Department of Public Health, Boston, MA
| | - Lorenzo D Botto
- Department of Pediatrics, University of Utah, Salt Lake City
| | - Tania A Desrosiers
- Department of Epidemiology, Gillings School of Global Public Health, UNC Chapel Hill, NC
| | - Shannon Pruitt
- National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention (CDC), Atlanta, GA; Oak Ridge Institute for Science and Education, Oak Ridge, TN
| | - Amy H Herring
- Global Health Institute, Duke University, Durham, NC
| | - Peter H Langlois
- Birth Defects Epidemiology and Surveillance Branch, Texas Department of State Health Services, Austin, TX
| | - Wendy N Nembhard
- Departments of Pediatrics and Epidemiology, University of Arkansas for Medical Sciences, Little Rock, AR
| | - Gary M Shaw
- Department of Pediatrics, Stanford University, Stanford, CA
| | - Andrew F Olshan
- Department of Epidemiology, Gillings School of Global Public Health, UNC Chapel Hill, NC
| | - Thomas J Luben
- Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, NC.
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Senthilkumar N, Gilfether M, Metcalf F, Russell AG, Mulholland JA, Chang HH. Application of a Fusion Method for Gas and Particle Air Pollutants between Observational Data and Chemical Transport Model Simulations Over the Contiguous United States for 2005-2014. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:ijerph16183314. [PMID: 31505818 PMCID: PMC6765984 DOI: 10.3390/ijerph16183314] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/14/2019] [Revised: 09/02/2019] [Accepted: 09/04/2019] [Indexed: 11/24/2022]
Abstract
Accurate spatiotemporal air quality data are critical for use in assessment of regulatory effectiveness and for exposure assessment in health studies. A number of data fusion methods have been developed to combine observational data and chemical transport model (CTM) results. Our approach focuses on preserving the temporal variation provided by observational data while deriving the spatial variation from the community multiscale air quality (CMAQ) simulations, a type of CTM. Here we show the results of fusing regulatory monitoring observational data with 12 km resolution CTM simulation results for 12 pollutants (CO, NOx, NO2, SO2, O3, PM2.5, PM10, NO3−, NH4+, EC, OC, SO42−) over the contiguous United States on a daily basis for a period of ten years (2005–2014). An annual mean regression between the CTM simulations and observational data is used to estimate the average spatial fields, and spatial interpolation of observations normalized by predicted annual average is used to provide the daily variation. Results match the temporal variation well (R2 values ranging from 0.84–0.98 across pollutants) and the spatial variation less well (R2 values 0.42–0.94). Ten-fold cross validation shows normalized root mean square error values of 60% or less and spatiotemporal R2 values of 0.4 or more for all pollutants except SO2.
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Affiliation(s)
- Niru Senthilkumar
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - Mark Gilfether
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - Francesca Metcalf
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - Armistead G Russell
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - James A Mulholland
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - Howard H Chang
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA.
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Sheridan P, Ilango S, Bruckner TA, Wang Q, Basu R, Benmarhnia T. Ambient Fine Particulate Matter and Preterm Birth in California: Identification of Critical Exposure Windows. Am J Epidemiol 2019; 188:1608-1615. [PMID: 31107509 DOI: 10.1093/aje/kwz120] [Citation(s) in RCA: 44] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2018] [Revised: 05/07/2019] [Accepted: 05/08/2019] [Indexed: 12/17/2022] Open
Abstract
Exposure to ambient fine particulate matter (particulate matter ≤2.5 μm in aerodynamic diameter (PM2.5)) during pregnancy is associated with preterm birth (PTB), a leading cause of infant morbidity and mortality. Results from studies attempting to identify etiologically relevant exposure periods of vulnerability have been inconsistent, possibly because of failure to consider the time-to-event nature of the outcome and lagged exposure effects of PM2.5. In this study, we aimed to identify critical exposure windows for weekly PM2.5 exposure and PTB in California using California birth cohort data from 2005-2010. Associations were assessed using distributed-lag Cox proportional hazards models. We assessed effect-measure modification by race/ethnicity by calculating the weekly relative excess risk due to interaction. For a 10-μg/m3 increase in PM2.5 exposure over the entire period of gestation, PTB risk increased by 11% (hazard ratio = 1.11, 95% confidence interval: 1.09, 1.14). Gestational weeks 17-24 and 36 were associated with increased vulnerability to PM2.5 exposure. We find that non-Hispanic black mothers may be more susceptible to effects of PM2.5 exposure than non-Hispanic white mothers, particularly at the end of pregnancy. These findings extend our knowledge about the existence of specific exposure periods during pregnancy that have the greatest impact on preterm birth.
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Affiliation(s)
- Paige Sheridan
- Department of Family Medicine and Public Health, School of Medicine, University of California, San Diego, San Diego, California
- Division of Epidemiology and Biostatistics, School of Public Health, San Diego State University, San Diego, California
| | - Sindana Ilango
- Department of Family Medicine and Public Health, School of Medicine, University of California, San Diego, San Diego, California
- Division of Epidemiology and Biostatistics, School of Public Health, San Diego State University, San Diego, California
| | - Tim A Bruckner
- Department of Public Health and Planning, Policy and Design, University of California, Irvine, Irvine, California
| | - Qiong Wang
- School of Medicine, Yale University, New Haven, Connecticut
| | - Rupa Basu
- Air Toxicology and Epidemiology Branch, California Office of Environmental Health Hazard Assessment, Sacramento, California
| | - Tarik Benmarhnia
- Department of Family Medicine and Public Health, School of Medicine, University of California, San Diego, San Diego, California
- Scripps Institute of Oceanography, University of California, San Diego, San Diego, California
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Fong KC, Di Q, Kloog I, Laden F, Coull BA, Koutrakis P, Schwartz JD. Relative toxicities of major particulate matter constituents on birthweight in Massachusetts. Environ Epidemiol 2019; 3:e047. [PMID: 31342007 PMCID: PMC6571180 DOI: 10.1097/ee9.0000000000000047] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2018] [Accepted: 03/13/2019] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND Maternal exposure to fine particulate air pollution (PM2.5) during pregnancy has been linked to lower newborn birthweight, making it a toxic exposure because lower birthweight is a risk factor for chronic disease and mortality. However, the toxicity of major constituents of PM2.5 and how they compare to each other remain uncertain. METHODS We assigned address-specific exposure to PM2.5, elemental carbon (EC), organic carbon (OC), nitrate, and sulfate averaged over the entire period of pregnancy for each birth in Massachusetts from 2001 to 2012 using a high-resolution exposure model. Using multivariate regression adjusted for total PM2.5, we estimated the relative toxicity of each constituent on continuous birthweight. RESULTS EC was more toxic per interquartile range increase compared with remaining PM2.5 in single constituent models that estimated the effect of a constituent with adjustment for PM2.5. OC, nitrate, and sulfate were each less toxic than their respective remaining PM2.5 per interquartile range increase. When all constituents and total PM2.5 were included in the same model, EC was most toxic, followed by nitrate, then OC and sulfate with similar toxicities. Sensitivity analyses using term low birth weight and small for gestational age also showed that EC was most detrimental as did averaging exposures over the third trimester of pregnancy. Scaling to unit mass increases also showed EC to be most toxic. CONCLUSION Four major constituents of PM2.5 had different relative toxicities on continuous birthweight. Our findings suggest that EC was most toxic, followed by nitrate, OC, and sulfate.
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Affiliation(s)
- Kelvin C. Fong
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA
- School of Forestry and Environmental Studies, Yale University, New Haven, CT
| | - Qian Di
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA
| | - Itai Kloog
- Department of Geography and Environmental Development, Ben-Gurion University of the Negev, Beer Sheva, Israel
| | - Francine Laden
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA
| | - Brent A. Coull
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA
| | - Petros Koutrakis
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA
| | - Joel D. Schwartz
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA
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Liang Z, Yang Y, Qian Z, Ruan Z, Chang J, Vaughn MG, Zhao Q, Lin H. Ambient PM 2.5 and birth outcomes: Estimating the association and attributable risk using a birth cohort study in nine Chinese cities. ENVIRONMENT INTERNATIONAL 2019; 126:329-335. [PMID: 30825752 DOI: 10.1016/j.envint.2019.02.017] [Citation(s) in RCA: 48] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/09/2018] [Revised: 02/04/2019] [Accepted: 02/05/2019] [Indexed: 05/05/2023]
Abstract
BACKGROUND Previous studies have reported that maternal exposure to particles with aerodynamic diameter <2.5 μm (PM2.5) is associated with birth outcomes. However, a multicity birth cohort study has not been conducted in China, and the attributable fraction of adverse birth outcomes due to PM2.5 exposure remains unknown. METHODS We examined associations in a birth cohort of 1,455,026 mother-and-live-birth pairs who were followed up from the first hospital visit for pregnancy until the birth of the baby during 2014-2017 in nine cites of the Pearl River Delta (PRD) region, China. The PM2.5 exposures were estimated based on the air pollution concentrations of the nearby monitors. Cox proportional hazards regressions were employed to examine the associations. RESULTS We found 1% (HR = 1.01; 95% CI: 1.00, 1.02), 6% (HR = 1.06; 95% CI: 1.05, 1.07), and 7% (HR = 1.07; 95% CI: 1.06, 1.08) increases in risk of PTB and 20% (HR = 1.20; 95% CI: 1.18, 1.22), 18% (HR = 1.18; 95% CI: 1.15, 1.20), and 20% (HR = 1.20; 95% CI: 1.17, 1.23) increases in risk of LBW, with each 10 μg/m3 increase in PM2.5 from trimester 1 to trimester 3, respectively. For PTB, highest HRs were observed during trimester 3, as for LBW, stronger effect were observed during trimester 1 and trimester 3. We further estimated that 7.84% (95% CI: 6.21%, 9.50%) of PTB and 14.85% (95% CI: 13.00%, 16.61%) of the LBW cases could be attributable to PM2.5 exposure during the third trimester. CONCLUSION The results indicate that maternal PM2.5 exposure is a risk factor for both LBW and PTB, and responsible for considerable burdens of PTB and LBW in the Pearl River Delta region.
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Affiliation(s)
- Zhijiang Liang
- Department of Public Health, Guangdong Women and Children Hospital, 521 Xingnan Road, Panyu District, Guangzhou 511442, China
| | - Yin Yang
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Zhengmin Qian
- Department of Epidemiology and Biostatistics, College for Public Health & Social Justice, Saint Louis University, Saint Louis, MO 63104, United States of America
| | - Zengliang Ruan
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Jenjen Chang
- Department of Epidemiology and Biostatistics, College for Public Health & Social Justice, Saint Louis University, Saint Louis, MO 63104, United States of America
| | - Michael G Vaughn
- School of Social Work, College for Public Health & Social Justice, Saint Louis University, St. Louis. MO 63103, United States of America
| | - Qingguo Zhao
- Epidemiological Research Office of Key Laboratory of Male Reproduction and Genetics, Family Planning Research Institute of Guangdong Province, Guangzhou, China; Epidemiological Research Office of Key Laboratory of Male Reproduction and Genetics (National Health and Family Planning Commission), Family Planning Special Hospital of Guangdong Province, Guangzhou, China.
| | - Hualiang Lin
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China.
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Abstract
BACKGROUND Traffic-related air pollution has been linked to multiple adverse pregnancy outcomes. However, few studies have examined pregnancy loss, targeting losses identified by hospital records, a large limitation as it does not capture events not reported to the medical system. METHODS We used a novel variation of the time-series design to determine the association, and identify the critical window of vulnerability, between week-to-week traffic-related air pollution and conceptions resulting in live births, using nitrogen dioxide (NO2) as a traffic emissions tracer. We used information from all live births recorded at Beth Israel Deaconess Medical Center in Boston, MA (2000-2013) and all live births in Tel Aviv District, Israel (2010-2013). RESULTS In Boston (68,969 live births), the strongest association was during the 15th week of gestation; for every 10 ppb of NO2 increase during that week, we observed a lower rate of live births (rate ratio [RR] = 0.87; 95% confidence interval [CI], 0.78, 0.97), using live birth-identified conceptions to infer pregnancy losses. In the Tel Aviv District (95,053 live births), the strongest estimate was during the 16th gestational week gestation (RR = 0.82; 95% CI, 0.76, 0.90 per 10 ppb of NO2). CONCLUSIONS Using weekly conceptions ending in live birth rather than identified pregnancy losses, we comprehensively analyzed the relationship between air pollution and all pregnancy loss throughout gestation. The observed results, with remarkable similarity in two independent locations, suggest that higher traffic-related air pollution levels are associated with pregnancy loss, with strongest estimates between the 10th and 20th gestational weeks.
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Huang G, Zhou W, Qian Y, Fisher B. Breathing the same air? Socioeconomic disparities in PM 2.5 exposure and the potential benefits from air filtration. THE SCIENCE OF THE TOTAL ENVIRONMENT 2019; 657:619-626. [PMID: 30677928 DOI: 10.1016/j.scitotenv.2018.11.428] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/11/2018] [Revised: 11/13/2018] [Accepted: 11/28/2018] [Indexed: 05/17/2023]
Abstract
Air pollution caused by particulate matter <2.5 μm in diameter (PM2.5) imposes a severe health burden to people worldwide. Across the globe, and even within cities, the health burden of air pollution is not equally shared by citizens. Despite being the region suffering from the most severe air pollution, studies examining the inequity of the burdens of air pollution in Asia are limited. We aim to fill in this gap by analyzing the relationship between PM2.5 pollution and residents' socioeconomic characteristics in Beijing, the icon city for PM2.5 pollution. Our results show that household income and education were negatively correlated with ambient air quality (r = -0.62; p < 0.05 and r = -0.73; p < 0.01 respectively) in 2014. We found in Beijing air quality is worse where residents have less income and lower education rates and are less capable to protect themselves from the potential health risk. To counter the effects of air pollution in Beijing, air filtration has been shown to be an effective means to reduce, at least, indoor PM2.5 levels. We illustrate through a simple scenario analysis that air filtration can reduce exposure (26-79%) to a similar extent as the structural mitigation programs (e.g. closing coal factories) achieved in recent years (53%). We argue government intervention is needed to convey the benefit of air filtration to the socioeconomically disadvantaged groups.
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Affiliation(s)
- Ganlin Huang
- Center for Human-Environment System Sustainability (CHESS), State Key Laboratory of Earth Surface Processes and Resource Ecology (ESPRE), Beijing Normal University, No 19 Xinjiekouwai Road, Beijing 100875, China; School of Natural Resources, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, China.
| | - Weiqi Zhou
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-environmental Science, Chinese Academy of Sciences, No 18 Shuangqing Road, Beijing 100085, China
| | - Yuguo Qian
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-environmental Science, Chinese Academy of Sciences, No 18 Shuangqing Road, Beijing 100085, China
| | - Brendan Fisher
- Gund Institute/Rubenstein School of Environment and Natural Resources, University of Vermont, Aiken Center, 81 Carrigan Drive, Burlington, VT 05405, USA
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Ji X, Meng X, Liu C, Chen R, Ge Y, Kan L, Fu Q, Li W, Tse LA, Kan H. Nitrogen dioxide air pollution and preterm birth in Shanghai, China. ENVIRONMENTAL RESEARCH 2019; 169:79-85. [PMID: 30423521 DOI: 10.1016/j.envres.2018.11.007] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/19/2018] [Revised: 10/31/2018] [Accepted: 11/02/2018] [Indexed: 05/11/2023]
Abstract
BACKGROUND Nitrogen dioxide (NO2) is a typical indicator of traffic-related air pollution, and few studies with exposure assessment of high resolution have been conducted to explore its association with preterm birth in China. OBJECTIVES To investigate the association between NO2 exposure based on a land use regression (LUR) model and preterm birth in Shanghai, China. METHODS A retrospective cohort study was performed among 25,493 singleton pregnancies in a major maternity hospital in Shanghai, China, from 2014 to 2015. A temporally adjusted LUR model was used to predict the prenatal exposure to NO2 based on residence address of each gravida. Logistic regression was performed to evaluate the associations of ambient NO2 exposure with preterm birth during six exposure periods, including the entire pregnancy, the first trimester, the second trimester, the third trimester, the last month, and the last week before delivery. Sensitivity analysis with a matched case-control design was conducted to test the robustness of the association between NO2 exposure and preterm birth. RESULTS The average NO2 concentrations during the entire pregnancy was 48.23 µg/m3 among all participants. A 10 µg/m3 increase in NO2 concentrations was associated with preterm birth, with an adjusted odds ratio of 1.03 (95% confidence interval [CI]: 0.96,1.10) for exposures during the entire pregnancy, 1.00 (95%CI: 0.95,1.06) in the first trimester, 1.01 (95%CI: 0.96,1.07) in the second trimester, 1.07 (95%CI: 1.02,1.13) in the third trimester, 1.10 (95%CI: 1.04,1.15) and 1.05 (95%CI: 1.00,1.09) in the month and week before delivery, respectively. The results of the matched case-control analysis were generally consistent with those of main analyses. CONCLUSION NO2 may increase the risk of preterm birth, especially for exposures during the third trimester, the month and the week before delivery in Shanghai, China.
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Affiliation(s)
- Xinhua Ji
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China; International Peace Maternity and Child Health Hospital of China Welfare Institute, Shanghai, China
| | - Xia Meng
- Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Cong Liu
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
| | - Renjie Chen
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China; Key Laboratory of Reproduction Regulation of National Population and Family Planning Commission, Shanghai Institute of Planned Parenthood Research, Institute of Reproduction and Development, Fudan University, Shanghai, China
| | - Yihui Ge
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
| | - Lena Kan
- School of Public Health, University of California, Berkeley, CA, USA
| | - Qingyan Fu
- Shanghai Environmental Monitoring Center, Shanghai, China
| | - Weihua Li
- Key Laboratory of Reproduction Regulation of National Population and Family Planning Commission, Shanghai Institute of Planned Parenthood Research, Institute of Reproduction and Development, Fudan University, Shanghai, China
| | - Lap Ah Tse
- JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong SAR
| | - Haidong Kan
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China; Key Laboratory of Reproduction Regulation of National Population and Family Planning Commission, Shanghai Institute of Planned Parenthood Research, Institute of Reproduction and Development, Fudan University, Shanghai, China.
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Liu Y, Xu J, Chen D, Sun P, Ma X. The association between air pollution and preterm birth and low birth weight in Guangdong, China. BMC Public Health 2019; 19:3. [PMID: 30606145 PMCID: PMC6318948 DOI: 10.1186/s12889-018-6307-7] [Citation(s) in RCA: 88] [Impact Index Per Article: 17.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2018] [Accepted: 12/05/2018] [Indexed: 01/15/2023] Open
Abstract
BACKGROUND A mountain of evidence has shown that people's physical and mental health can be affected by various air pollutions. Poor pregnancy outcomes are associated with exposure to air pollution. Therefore, this study aims to investigate the association between air pollutions (PM2.5, PM10, SO2, NO2, CO, and O3) and preterm birth/low birth weight in Guangdong province, China. METHOD All maternal data and birth data from January 1, 2014 to December 31, 2015 were selected from a National Free Pre-pregnancy Check-ups system, and the daily air quality data of Guangdong Province was collected from China National Environmental Monitoring Center. 1784 women with either preterm birth information (n = 687) or low birth weight information (n = 1097) were used as experimental group. Control group included 1766 women with healthy birth information. Logistic regression models were employed to evaluate the effects of air pollutants on the risk of preterm birth and low birth weight. RESULTS The pollution levels of PM2.5, PM10, SO2, NO2, CO, and O3 in Guangdong province were all lower than the national air pollution concentrations. The concentrations of PM2.5, PM10, SO2, NO2 and CO had obvious seasonal trends with the highest in winter and the lowest in summer. O3 concentrations in September (65.72 μg/m3) and October (84.18 μg/m3) were relatively higher. After controlling for the impact of confounding factors, the increases in the risk of preterm birth were associated with each 10 μg/m3 increase in PM2.5 (OR 1.043, 95% CI 1.01-1.09) and PM10 (OR 1.039, 95% CI 1.01~1.14) during the first trimester and in PM2.5 (OR 1.038, 95% CI 1.01~1.12), PM10 (OR 1.024, 95% CI 1.02~1.09), SO2 (OR 1.081, 95% CI 1.01~1.29), and O3 (OR 1.016, 95% CI 1.004~1.35) during the third trimester. The increase in the risk of low birth weight was associated with PM2.5, PM10, NO2, and O3 in the first month and the last month. CONCLUSION This study provides further evidence for the relationships between air pollutions and preterm birth/low birth weight. Pregnant women are recommended to reduce or avoid exposure to air pollutions during pregnancy, especially in the early and late stages of pregnancy.
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Affiliation(s)
- Ying Liu
- Institute of Psychology Continuing Education College, University of the Chinese Academy of Sciences, National Research Institute for Family Planning, No.12, Dahuisi Road, Hai Dian District, Beijing, 100081 China
| | - Jihong Xu
- Research Center for Mental Health and Behavior Big Data, National Research Institute for Family Planning, Beijing, China
| | - Dian Chen
- Department of Psychology, Tsinghua University, Beijing, China
| | - Pei Sun
- Department of Psychology, Tsinghua University, Beijing, China
| | - Xu Ma
- Research Center for Mental Health and Behavior Big Data, National Research Institute for Family Planning, Beijing, China
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Murray SR, Juodakis J, Bacelis J, Sand A, Norman JE, Sengpiel V, Jacobsson B. Geographical differences in preterm delivery rates in Sweden: A population-based cohort study. Acta Obstet Gynecol Scand 2019; 98:106-116. [PMID: 30169899 PMCID: PMC6492021 DOI: 10.1111/aogs.13455] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2018] [Revised: 08/20/2018] [Accepted: 08/22/2018] [Indexed: 11/28/2022]
Abstract
INTRODUCTION Preterm delivery is a major global public health challenge. The objective of this study was to determine how preterm delivery rates differ in a country with a very high human development index and to explore rural vs urban environmental and socioeconomic factors that may be responsible for this variation. MATERIAL AND METHODS A population-based study was performed using data from the Swedish Medical Birth Register from 1998 to 2013. Sweden was chosen as a model because of its validated, routinely collected data and availability of individual social data. The total population comprised 1 335 802 singleton births. A multiple linear regression was used to adjust gestational age for known risk factors (maternal smoking, ethnicity, maternal education, maternal age, height, fetal sex, maternal diabetes, maternal hypertension, and parity). A second and a third model were subsequently fitted allowing separate intercepts for each municipality (as fixed or random effects). Adjusted gestational ages were converted to preterm delivery rates and mapped onto maternal residential municipalities. Additionally, the effects of six rural vs urban environmental and socioeconomic factors on gestational age were tested using a simple weighted linear regression. RESULTS The study population preterm delivery rate was 4.12%. Marked differences from the overall preterm delivery rate were observed (rate estimates ranged from 1.73% to 6.31%). The statistical significance of this heterogeneity across municipalities was confirmed by a chi-squared test (P < 0.001). Around 20% of the gestational age variance explained by the full model (after adjustment for known variables described above) could be attributed to municipality-level effects. In addition, gestational age was found to be longer in areas with a higher fraction of built-upon land and other urban features. CONCLUSIONS After adjusting for known risk factors, large geographical differences in rates of preterm delivery remain. Additional analyses to look at the effect of environmental and socioeconomic factors on gestational age found an increased gestational age in urban areas. Future research strategies could focus on investigating the urbanity effect to try to explain preterm delivery variation across countries with a very high human development index.
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Affiliation(s)
- Sarah R. Murray
- MRC Centre for Reproductive Health, Queen’s Medical Research Institute, University of EdinburghEdinburghUK
| | - Julius Juodakis
- Department of Obstetrics and Gynecology, Institute of Clinical SciencesSahlgrenska Academy, University of GothenburgGothenburgSweden
| | - Jonas Bacelis
- Department of Obstetrics and Gynecology, Institute of Clinical SciencesSahlgrenska Academy, University of GothenburgGothenburgSweden
| | - Anna Sand
- Karolinska University HospitalStockholmSweden
| | - Jane E. Norman
- MRC Centre for Reproductive Health, Queen’s Medical Research Institute, University of EdinburghEdinburghUK
| | - Verena Sengpiel
- Department of Obstetrics and Gynecology, Institute of Clinical SciencesSahlgrenska Academy, University of GothenburgGothenburgSweden
| | - Bo Jacobsson
- Department of Obstetrics and Gynecology, Institute of Clinical SciencesSahlgrenska Academy, University of GothenburgGothenburgSweden
- Department of Genetics and Bioinformatics, Area of Health Data and DigitalizationNorwegian Institute of Public HealthOsloNorway
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Zhu J, Lee RW, Twum C, Wei Y. Exposure to ambient PM 2.5 during pregnancy and preterm birth in metropolitan areas of the state of Georgia. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2019; 26:2492-2500. [PMID: 30471062 DOI: 10.1007/s11356-018-3746-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/14/2018] [Accepted: 11/12/2018] [Indexed: 05/21/2023]
Abstract
A number of studies has pointed to air pollution as an additional factor that could be associated with preterm birth. We assessed in this study the association between exposure to PM2.5 in ambient air during pregnancy and preterm birth in metropolitan areas of the state of Georgia, where the rate of preterm birth has been among the highest in the nation over the years. Birth data were obtained from the National Center for Health Statistics natality dataset. The study population consisted of 53,094 singleton live births between January 1 and December 31, 2004 in nine metropolitan counties of Georgia. Preterm birth was defined as birth, which occurs before 37 weeks of gestation. County-level daily air quality index (AQI) data obtained from the US Environmental Protection Agency (EPA) was used to estimate individual exposure levels of PM2.5 for each study participant based on the county of residence for the duration of the pregnancy. A multivariate logistic regression analysis was conducted to assess the association, adjusting for potential confounders. Of the infants whose mothers resided in the nine metropolitan counties of Georgia, 4543 (8.6%) were born preterm. A higher rate of preterm birth (9.8%) was observed in infants whose mothers were exposed to ambient PM2.5 with AQI values > 50 than the ones with AQI ≤ 50 (EPA standard for good air quality conditions). Mothers with exposure to PM2.5 at average AQI values greater than 50 during the entire pregnancy were at increased risk of preterm birth (odds ratio 1.15; 95% CI 1.07, 1.25), after adjusting for sex of infant, mother's age, race/ethnicity, education, marital status, prenatal care, cigarette smoking, alcohol consumption, and season of conception. The study provides more evidence on the role of PM2.5 in preterm birth. Reducing exposure to ambient particulate matter, especially in urban areas, for pregnant women would be necessary to improve the health of infants.
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Affiliation(s)
- Jianmin Zhu
- Department of Mathematics and Computer Science, Fort Valley State University, Fort Valley, GA, 31030, USA
| | - Rina Won Lee
- Mercer University School of Medicine, Macon, GA, 31207, USA
| | - Claudia Twum
- Mercer University School of Medicine, Macon, GA, 31207, USA
| | - Yudan Wei
- Department of Community Medicine, Mercer University School of Medicine, 1550 College St, Macon, GA, 31207, USA.
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Liu C, Li Q, Yan L, Wang H, Yu J, Tang J, Yao H, Li S, Zhang Y, Guo Y. The association between maternal exposure to ambient particulate matter of 2.5 μm or less during pregnancy and fetal congenital anomalies in Yinchuan, China: A population-based cohort study. ENVIRONMENT INTERNATIONAL 2019; 122:316-321. [PMID: 30455103 DOI: 10.1016/j.envint.2018.11.030] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/15/2018] [Revised: 10/26/2018] [Accepted: 11/12/2018] [Indexed: 05/28/2023]
Abstract
BACKGROUND Few studies from western countries have linked prenatal exposure to ambient particulate matter <2.5 μm (PM2.5) with increased risk of congenital anomalies. However, the results are mixed. Particularly, evidence is limited for Chinese pregnant women. METHODS In this retrospective cohort study, we matched the data of all pregnant women laboured in public hospitals during 2015-2016 in Yinchuan, a capital city of northwest China and the data of daily average PM2.5, nitrogen dioxide (NO2), sulphur dioxide (SO2) and ozone (O3) concentrations of the nearest monitor station. We calculated a time-dependent exposure over the entire pregnancy for each woman. We used a time varying Cox proportional hazards model to explore the association between PM2.5 exposure and the risk of congenital anomalies, after adjusting for individual confounders and other pollutants. RESULTS A total of 39,386 singleton live births were included in the study, and 530 (1.35%) were with congenital anomalies. An increase of 10 μg/m3 in PM2.5 exposure over the entire pregnancy was significantly associated with increased risk of congenital anomalies, with hazard ratio (HR) of 1.35 [95% confidence interval (95%CI): 1.16, 1.58]. For subtype analyses, PM2.5 exposure exhibited a significant association with cardiac anomalies and other unclassifiable anomalies, with HRs of 1.60 (95%CI: 1.24, 2.08) and 1.42 (95%CI: 1.07, 1.89), respectively. The impacts of PM2.5 exposure on orofacial anomalies and musculoskeletal anomalies were not significant. CONCLUSION Our results indicate high concentration of PM2.5 could increase the risk of congenital anomalies among Chinese, especially for cardiac anomalies. Self-protective measures involving reducing PM2.5 pollution exposure during pregnancy as well as environmental policies aiming to restrict PM2.5 emission could be helpful to reduce the burden of cognitional anomalies.
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Affiliation(s)
- Can Liu
- Department of Scientific Research, Peking University Third Hospital, Beijing, China
| | - Qin Li
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, China; Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Lailai Yan
- Department of Laboratorial Science and Technology, School of Public Health, Peking University, Beijing, China
| | - Huijun Wang
- Yinchuan Maternal and Child Health Care Hospital, Yinchuan, Ningxia, China
| | - Jing Yu
- Yinchuan Maternal and Child Health Care Hospital, Yinchuan, Ningxia, China
| | - Juxiang Tang
- Yinchuan Maternal and Child Health Care Hospital, Yinchuan, Ningxia, China
| | - Haiyan Yao
- Yinchuan Maternal and Child Health Care Hospital, Yinchuan, Ningxia, China
| | - Shanshan Li
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
| | - Yajuan Zhang
- Key Laboratory of Fertility Preservation and Maintenance of Ministry of Education, Key Laboratory of Reproduction and Genetics in Ningxia, School of Public Health and Management, Ningxia Medical University, Yinchuan, Ningxia, China.
| | - Yuming Guo
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
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Impacts of gestational age uncertainty in estimating associations between preterm birth and ambient air pollution. Environ Epidemiol 2018; 2:e031. [PMID: 33210073 PMCID: PMC7660973 DOI: 10.1097/ee9.0000000000000031] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2018] [Accepted: 10/04/2018] [Indexed: 01/12/2023] Open
Abstract
Supplemental Digital Content is available in the text. Background: Previous epidemiologic studies utilizing birth records have shown heterogeneous associations between air pollution exposure during pregnancy and the risk of preterm birth (PTB, gestational age <37 weeks). Uncertainty in gestational age at birth may contribute to this heterogeneity. Methods: We first examined disagreement between clinical and last menstrual period-based (LMP) determination of PTB from individual-level birth certificate data for the 20-county Atlanta metropolitan area during 2002 to 2006. We then estimated associations between five trimester-averaged pollutant exposures and PTB, defined using various methods based on the clinical or LMP gestational age. Finally, using a multiple imputation approach, we incorporated uncertainty in gestational age to quantify the impact of this variability on associations between pollutant exposures and PTB. Results: Odds ratios (OR) were most elevated when a more stringent definition of PTB was used. For example, defining PTB only when LMP and clinical diagnoses agree yielded an OR of 1.09 (95% confidence interval [CI] = 1.04, 1.14) per interquartile range increase in first trimester carbon monoxide exposure versus an OR of 1.04 (95% CI = 1.01, 1.08) when PTB was defined as either an LMP or clinical diagnosis. Accounting for outcome uncertainty resulted in wider CIs—between 7.4% and 43.8% wider than those assuming the PTB outcome is without error. Conclusions: Despite discrepancies in PTB derived using either the clinical or LMP gestational age estimates, our analyses demonstrated robust positive associations between PTB and ambient air pollution exposures even when gestational age uncertainty is present.
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Li Q, Wang YY, Guo Y, Zhou H, Wang X, Wang Q, Shen H, Zhang Y, Yan D, Zhang Y, Zhang H, Li S, Chen G, Lin L, Zhao J, He Y, Yang Y, Xu J, Wang Y, Peng Z, Wang HJ, Ma X. Effect of airborne particulate matter of 2.5 μm or less on preterm birth: A national birth cohort study in China. ENVIRONMENT INTERNATIONAL 2018; 121:1128-1136. [PMID: 30352698 DOI: 10.1016/j.envint.2018.10.025] [Citation(s) in RCA: 47] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/21/2018] [Revised: 10/11/2018] [Accepted: 10/14/2018] [Indexed: 06/08/2023]
Abstract
BACKGROUND Most evidences regarding ambient PM2.5 or PM10 (particulate matter of median aerodynamic diameter ≤2.5 μm or ≤10 μm) and preterm birth (PTB) come from western countries which has relatively low PM pollution exposure, and the results are still inconsistent. This study aims to examine whether exposure to high concentrations of PM2.5 or PM10 was associated with PTB (<37 weeks) and near term birth (37-38 weeks). METHOD We established a birth cohort with 1,280,524 singleton pregnancies who delivered from Dec 1st, 2013 to Nov 30th, 2014 and matched their home address to PM2.5 and PM10 concentrations which were predicted with machine learning methods based satellite remote sensing, meteorological and land use information. Cox proportional hazard regression models were used to analyze the associations between PTB and exposure of PM2.5 or PM10, after controlling for individual level covariates. RESULTS Exposure to PM2.5 or PM10 during pregnancy increases the risk of PTB and near term birth [e.g., Hazard ratios: 1.09 (95% CI: 1.09, 1.10), 1.08 (95% CI: 1.07, 1.08), 1.01 (95% CI: 1.01, 1.02), and 1.09 (95% CI: 1.08, 1.10) for each 10 μg/m3 increase in PM2.5 for the 1st, 2nd, 3rd trimester and over the entire pregnancy, respectively]. The effects appeared to be stronger among women who come from rural areas, worked as farmers, were overweight before conception, whose mate was smoking during pregnancy, and conceived in autumn. CONCLUSION This study provides clear evidence that exposure to PM2.5 or PM10 during pregnancy increases the risk of PTB and near term birth. Public policies regarding improvement of air quality would produce great health benefit by reducing the burden of preterm birth.
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Affiliation(s)
- Qin Li
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, China; National Center for Human Genetic Resources, Beijing, China
| | - Yuan-Yuan Wang
- National Center for Human Genetic Resources, Beijing, China; National Research Institute for Family Planning, Beijing, China
| | - Yuming Guo
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Hong Zhou
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, China; National Research Institute for Family Planning, Beijing, China
| | - Xiaobin Wang
- Center on the Early Life Origins of Disease, Department of Population, Family and Reproductive Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, USA; Department of Pediatrics, School of Medicine, Johns Hopkins University, Baltimore, USA
| | - Qiaomei Wang
- Department of Maternal and Child Health, National Health and Family Planning Commission of the PRC, Beijing, China
| | - Haiping Shen
- Department of Maternal and Child Health, National Health and Family Planning Commission of the PRC, Beijing, China
| | - Yiping Zhang
- Department of Maternal and Child Health, National Health and Family Planning Commission of the PRC, Beijing, China
| | - Donghai Yan
- Department of Maternal and Child Health, National Health and Family Planning Commission of the PRC, Beijing, China
| | - Ya Zhang
- National Research Institute for Family Planning, Beijing, China
| | - Hongguang Zhang
- National Research Institute for Family Planning, Beijing, China
| | - Shanshan Li
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Gongbo Chen
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Lizi Lin
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, China; National Center for Human Genetic Resources, Beijing, China
| | - Jun Zhao
- National Research Institute for Family Planning, Beijing, China
| | - Yuan He
- National Research Institute for Family Planning, Beijing, China
| | - Ying Yang
- National Research Institute for Family Planning, Beijing, China
| | - Jihong Xu
- National Research Institute for Family Planning, Beijing, China
| | - Yan Wang
- National Research Institute for Family Planning, Beijing, China
| | - Zuoqi Peng
- National Research Institute for Family Planning, Beijing, China
| | - Hai-Jun Wang
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, China; National Center for Human Genetic Resources, Beijing, China.
| | - Xu Ma
- National Center for Human Genetic Resources, Beijing, China; National Research Institute for Family Planning, Beijing, China.
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